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Pparg signaling controls bladder cancer subtype and immune exclusion

Abstract

Pparg, a nuclear receptor, is downregulated in basal subtype bladder cancers that tend to be muscle invasive and amplified in luminal subtype bladder cancers that tend to be non-muscle invasive. Bladder cancers derive from the urothelium, one of the most quiescent epithelia in the body, which is composed of basal, intermediate, and superficial cells. We find that expression of an activated form of Pparg (VP16;Pparg) in basal progenitors induces formation of superficial cells in situ, that exit the cell cycle, and do not form tumors. Expression in basal progenitors that have been activated by mild injury however, results in luminal tumor formation. We find that these tumors are immune deserted, which may be linked to down-regulation of Nf-kb, a Pparg target. Interestingly, some luminal tumors begin to shift to basal subtype tumors with time, down-regulating Pparg and other luminal markers. Our findings have important implications for treatment and diagnosis of bladder cancer.

Introduction

Bladder cancers are the 9th most common form of cancer worldwide, and the 4th most common among men (Sung et al., ACS 2021). Estimates from the CDC indicate that in 2021, there are ~83,730 new cases of bladder cancer (~64,280 in men and ~19,450 in women) in the United States and 17,200 deaths from bladder cancer (~12,260 men and ~4940 women), with smoking accounting for almost half (47%) of all cases in the United States1. Bladder cancers tumors arise from the urothelium, a water-proof barrier lining the urinary outflow tract that extends from the renal pelvis to the bladder. The urothelium protects against infection, damage from toxins and prevents the exchange of fluids. It is one of the slowest cycling epithelia in the body2, but undergoes a rapid sequence of exfoliation and regeneration in response to acute injury or infection. However, persistent or repeated damage and inflammation can lead to permanent changes, including loss of endogenous urothelial populations and bladder pain disease3,4, which has limited treatment options.

The urothelium is pseudostratified, containing two populations of basal cells; K14-Basal cells (K14+ K5+) that are rare and reside exclusively in the basal layer, and K5-Basal cells (K5+ K14−), which reside in the basal and suprabasal layers. Lineage studies suggest that K14-Basal cells are progenitors that can repopulate the urothelium de novo5,6,7,8,9, and are also cells of origin that can produce tumors10,11,12. Intermediate cells (I-cells) and superficial cells (S-cells), which reside in upper urothelial layers, express luminal markers, including Krt20, Krt18, and Upks. I-cells (P63+ UPKs+) are direct progenitors that replace S-cells when they die off7,13. They are attached to the basement membrane by a long cytoplasmic tail, and they can either divide or undergo failed cytokinesis producing binucleated I-cells (2n+2n) that undergo endoreplication, doubling DNA content without entering mitosis to produce 4n+4n S-cells9. S-cells (UPK+ K20+ P63−) reside in the top layer; they are large, binucleated, and are critical for the synthesis and transport of uroplakins, a family of proteins that assemble into tough crystalline plaques that line the apical surface of the urothelium. Although S-cells are post-mitotic, they are functionally very active since apical plaque is continuously degraded and replaced in response to stretch, as the bladder fills and empties14,15,16,17,18.

Bladder cancers arise from the urothelium and were initially classified based on histology and clinical behavior19. In all, 51% of diagnosed cases are non-muscle-invasive bladder cancer (NMIBC) and 49% are muscle-invasive bladder cancer (MIBC)20. Approximately 10–20% of NMIBC cases eventually progress to MIBC21. More recent studies from a number of groups have identified distinct subtypes of bladder cancer based on mutations and transcriptional profiles that cluster with the luminal and Basal tumor types in MIBC. Approximately 47% of the cases are of the luminal subtype and 35% are of the Basal subtype21,22,23,24,25,26,27,28. These subtypes have grown in number and now include (LumP), luminal nonspecified (LumNS), luminal unstable (LumU), stroma-rich, basal/squamous (Ba/Sq), and neuroendocrine-like (NE-like)21. Tumors with a basal/squamous subtype express a set of markers including KRT14, KRT5, CD44, and KRT6A. Basal/squamous tumors are generally immune infiltrated and responsive to immune checkpoint inhibitors21,23,29,30. Bladder cancer of the luminal subtype expresses a set of markers found in urothelial I-cells and S-cells, including GATA3, FOXA1, and PPARG23,31,32. Luminal tumors are comparatively less invasive, but generally grow back after resection, and also tend to be immune poor andtend not to respond well to immune checkpoint blockers21,33,34,35.

PPARG-dependent transcription is important for a wide range of functions in different cell types, including adipogenesis, metabolism, and immunity (reviewed in refs. 36,37). PPARG agonists have profound effects on urothelial differentiation and PPARG mutations and amplifications contribute significantly to bladder cancers. PPARG is a member of the nuclear receptor superfamily of ligand-activated transcription factors that bind to response elements in regulatory regions of genes37,38. PPARG regulates transcription by forming heterodimers with RXR, a second nuclear receptor family member. PPARG/RXR heterodimers are activated when PPARG is bound by natural ligands (fatty acids and prostaglandins) or synthetic ligands including troglitazone and rosiglitazone. PPARG/RXR heterodimers bind to peroxisome proliferator response elements, and without ligand, are maintained in an inactive state, in complexes with co-repressors (NCOR2, SMRT). Ligand binding induces a conformational change in the PPARG/RXR heterodimer causing the release of co-repressors and the recruitment of co-activators [CREBBP, PPARGC1A, and HAT39,40,41].

Studies in knockout mice indicate that PPARG regulates urothelial differentiation both in the ureter and bladder42,43. In urothelial cell culture, PPARG agonists troglitazone and rosiglitazone in combination with an EGFR inhibitor, suppress squamous differentiation and induce expression of luminal markers, including Upk1a, Upk2, and Krt2044,45.

PPARG mutations and genomic alterations are common in bladder cancer. PPARG expression is downregulated in basal/squamous subtype tumors, suggesting that loss of signaling may promote bladder tumor formation. To address this, we previously generated mice lacking Pparg throughout the urothelium using the ShhCre driver. These studies revealed a number of profound changes in the urothelium, including squamous metaplasia and loss of endogenous urothelial populations, likely owing to alternations in the differentiation program of K14-Basal progenitors that produced squamous epithelial cells instead of urothelial cells. These observations suggest that Pparg is normally important for the specification of K14-basal cells, however, inactivation of Pparg alone during homeostasis is not sufficient to drive bladder cancer43.

Activation of Pparg-dependent transcription either owing to mutations in its binding partner RXR, or amplification of the PPARG gene occur in 20–25% of luminal tumors46. These observations prompted us to examine whether gain-of-function mutations in PPARG could induce luminal subtype bladder cancer in mice. To do this, we inserted a cassette containing the HSV VP16 activator fused to the amino-terminal of Pparg147 into the Rosa26 locus where it is activatable in cells expressing Cre recombinase.

The urothelium is an epithelial barrier that extends from the renal pelvis to the urethra. This stratified epithelium is nearly quiescent but can rapidly regenerate in response to injury. Here we show that Pparg signaling drives a luminal differentiation program in the urothelium during homeostasis as well as in tumor formation. Expression of constitutively active VP16;Pparg in basal progenitors during homeostasis drives them to differentiate into luminal (I-cells/S-cells) in situ; however, newly formed luminal cells are post mitotic, and do not form tumors. Expression of VP16;Pparg in basal progenitors that have been injured by a short exposure to BBN, a carcinogen found in tobacco smoke, results in activation of the basal population, which differentiate into luminal tumors, whereas in controls lacking VP16;Pparg, basal subtype tumors form. Injury of basal urothelial progenitors is accompanied but increased proliferation, a robust inflammatory response, and upregulation of Krt6a and Krt16, defensins that are not expressed in the healthy urothelium; a state that is quite similar to that observed in activated basal progenitors in the skin and airways48,49,50. Our findings suggest that basal cell activation may be a critical step in the genesis of urothelial carcinoma. Interestingly, we observed a shift at the base of some luminal lesions that increased with time, where tumor cells downregulate luminal markers and begin to express basal markers, suggesting that these tumors can undergo a luminal to basal shift. Together our studies provide a model for studying luminal tumor formation in vivo and may also shed light on the mechanisms underlying tumor evolution, a phenomenon that has been reported in recent studies51,52.

Results

Pparg activation in basal cells induces an S-cell differentiation program

The PPARG gene is amplified in tumors of the luminal subtype, which also express high levels of FABP4, a direct transcriptional target of PPARG23. This suggests that PPARG is both overexpressed and transcriptionally active, most likely by endogenous ligands. To generate a gain-of-function model that mirrors the increased PPARG activity in luminal tumors, we generated mice harboring a constitutively active form of Pparg1 that is tamoxifen-inducible. We inserted a cassette containing the HSV VP16 activator fused to the N-terminal of Pparg1 into the Rosa26 locus where it is activatable in cells expressing Cre recombinase [Fig. 1l53]. Unlike endogenous Pparg, VP16;Pparg is transcriptionally active without ligand binding47,53. K14-Basal cells have been shown to be progenitors that can produce tumors in mice10. To target this population, VP16;Pparg mice were crossed with the Krt5CreERT2 line generating Krt5CreERT2;VP16;Pparg mutants (hereafter, referred to as K5VP16;Pparg mutants), in which tamoxifen-inducible Cre driven by the K5 promoter drives recombination in the basal cell population54.

Fig. 1: Expression of VP16;Pparg in basal cells induces an S-cell differentiation program.
figure1

aj Immunostaining showing expression of Pparg, Krt14, and Fabp4 in the urothelium of VP16;Pparg control (a) and K5VP16;Pparg mutants (f). Expression of Krt18 and Fabp4 in the urothelium of control (b) and a K5VP16;Pparg mutant (g). Expression of Krt20 and Krt14 in the urothelium of control (c) and a K5VP16;Pparg mutant (h). Expression of Krt14 and Fabp4 in the urothelium of control (d) and K5VP16;Pparg mutant (i). Expression of P21 and Fabp4 in the urothelium of control (e) and a K5VP16;Pparg mutant (j). k Quantification of the percentages of Basal cells undergoing luminal differentiation in VP16;Pparg controls (n = 3) versus K5VP16;Pparg mutants 4 days (n ≥ 3) after tamoxifen induction: expression of cell-type-specific markers in mutants and controls: Krt18 in the basal layer (p = 0.021), Gfp and Fabp4 in the basal layer (p = 0.038), Fabp4 and K14 (p = 0.031), Fabp4 but not K5 (p = 0.038). Box plots display minima, maxima, and interquartile range (IQR). Significance was calculated by one-sided Mann–Whitney U test. *p ≤ 0.05. l Schematic showing the mouse models and timing of analysis. The VP16;Pparg cassette was inserted in the Rosa26 Locus to generate VP16;Pparg mutant mice, where expression is activatable in cells expressing Cre recombinase. VP16;Pparg mice were then crossed with the Krt5CreERT2 line, which drives Cre-dependent recombination in Basal cells after Tamoxifen induction, activating the expression of the transgene. Tamoxifen was administered 3× over the course of 1 week, and bladders were harvested 4 days after the last Tamoxifen induction. m Schematic of the S-cell differentiation program induced by VP16;Pparg expression in basal cells. n Upregulated and downregulated pathways from RNA-seq analysis of controls and K5VP16;Pparg mutants 4 days after Tamoxifen induction. p values were calculated by hypergeometric test and corrected for multiple testing. Yellow arrows in ae denote superficial cells. White arrows in fj denote mutant cells undergoing a basal to luminal shift. Scale bars, 50 μm. Source data are provided as a Source Data file.

Tamoxifen was administered intraperitoneally three times over the course of 1 week which induced recombination in 80% of basal cells. To determine whether the VP16;Pparg mutant protein was transcriptionally active, we analyzed the distribution of Fabp4, a direct transcriptional target of Pparg in K5VP16;Pparg mutants and VP16;Ppargfl/fl controls 4 days after Tamoxifen induction. In controls Fabp4 and Pparg were co-expressed in S-cells as expected (Fig. 1a), however in K5VP16;Pparg mutants, Fabp4 and Pparg were expressed both in S-cells in the luminal layer and in K14-basal cells in the basal layer (Fig. 1f, k, Supplementary Fig. 1r) indicating that the VP16;Pparg transgene is active. Further analysis revealed Krt18 and Krt20, which are selectively expressed in S-cells of controls (Fig. 1b,c), co-localized with Fabp4 and Pparg in K14-BC-positive cells in the basal layer (Fig. 1g–k), suggesting that the VP16;Pparg transgene is inducing K14-Basal cells to differentiate into S-cells in situ. Consistent with this, we observed binucleated cells co-expressing K14 and Fabp4 in the basal layer suggesting that this newly formed population has undergone failed cytokinesis, a process observed when I-cells differentiate into S-cells, which normally occurs in the luminal layers of the urothelium (Fig. 1d,i,9).

Lineage tracing confirmed that K14+/Fabp4+/Krt20+ cells that formed in K5VP16;Pparg mutants were derived from basal cells. The R26RmTmG reporter55 was introduced into mutants and controls to generate K5VP16;Pparg;mTmG mice and VP16;Ppargfl/fl;mTmG mice, respectively. In controls, Gfp-expression was confined to the basal layer as expected (Supplementary Fig. 1m–p), whereas in K5VP16;Pparg mutants, Gfp-expressing cells which were observed in the basal layer 1 day after tamoxifen induction, expanded to encompass the entire urothelium by one 1 month (Supplementary Fig. 1q–t)

To identify changes in the transcriptional program of basal cells induced by expression of the VP16;Pparg transgene, we performed bulk RNA-seq analysis on Gfp+ cells collected from K5VP16;Pparg;mTmG mutants and K5;mTmG controls (Supplementary Fig. 5). Pathway analysis revealed upregulation of Pparg signaling in basal cells of mutants, confirming that the transgene was active (Fig. 1n). This analysis also revealed upregulation of S-cell markers in basal cells of mutants compared with controls, whereas Krt5, Col17a1, and Trp63 which are highly expressed in basal cells of controls were downregulated (Supplementary Fig. 1y), which was confirmed by immunostaining (Fig. 1k, Supplementary Fig. 1u–x). Col17a1 is required for anchoring basal cells to the cell membrane, hence its downregulation may enable newly S-Cells to move from the basal layer up to the superficial layer of the urothelium where S-cells normally reside. RNA-seq analysis also revealed changes in cell cycle genes including p21 (Cdkn1a), which was upregulated in basal cells from K5VP16;Pparg cells compared to VP16;Pparg controls and confirmed by immunostaining (Fig. 1e, j), indicating that expression of the VP16;Pparg transgene-induced S-cell like daughters to leave the cell cycle, as is the case with endogenous S-cells. Together these results suggest that the expression of the VP16;Pparg transgene in basal cells alters the normal differentiation program, resulting in the production of S-like cells in situ.

Squamous metaplasia in the airways, bladder, and prostate is induced by Vitamin A-deficiency56,57. In this case, the urothelium is populated by cells expressing markers found in the skin, Krt13, Krt1, Krt10, similar to the phenotype induced in the urothelium in Pparg mutants, which is characterized by an increase in K14-progenitors accompanied by a decrease in I-cells and S-cells43. Retinoids have also been shown to be required for urothelial differentiation and regeneration, specifically for the formation of I-cells and S-cells13. We observed increased retinoid signaling in K5VP16;Pparg mutants compared with VP16;Ppargfl/fl controls (Supplementary Fig. 1z). Upregulated genes include Rbp4, a lipocalin family member that transports retinol (the inactive form of Vitamin A) from the liver to tissues, Stra6, a receptor that transports retinol into the cell, Rdh11 which synthesizes retinaldehyde from retinol in the first step of RA synthesis and Aldh1a3, a retinaldehyde dehydrogenase that converts retinaldehyde to RA, in the second step of RA synthesis [Supplementary Fig. 1z58,59]. These data suggest that Pparg-dependent RA-signaling is likely important for differentiation of luminal cell types, and for suppression of squamous differentiation.

Consistent with the known role of Pparg as a regulator of fatty-acid transport and metabolism, we observed an increase in genes important in lipid metabolism (Fig. 1n). These include Scd1, Elovl, Acsl4, Cpt1, Fabp5, Fabp1, Lpl, and Cd36. Genes involved in pancreatic secretion, protein digestion and absorption, digestion of dietary lipid, and triacylglycerol degradation were downregulated (Fig. 1n). These pathways are similarly altered in non-alcoholic fatty liver disease (NAFLD)60,61,62,63,64, which is thought to be linked to high-fat diet-induced Pparg signaling65. Oil-Red-O staining of mutants 1 day, 4 days, and 1 month after Tamoxifen induction, revealed neutral triglyceride and lipid accumulation in mutant S-cells at 1 month, but staining was not detectable at earlier stages or in controls (Supplementary Fig. 1a–l). These observations raise the possibility that the urothelium may respond to a high-fat diet in a similar manner as observed in hepatocytes in steatosis, which turn on an adipocyte differentiation program in response to increased Pparg signaling.

Together, these studies suggest that constitutive activity of Pparg in K14-basal cell progenitors induces the formation of S-cell daughters instead of K5-Basal cells and I-cells, as normally occurs, a process that may depend on RA-signaling. With time, these S-cells appear to turn on an adipocyte differentiation program as occurs in NAFLD. These VP16;Pparg-expressing S-cells are post-mitotic however and hence did not form tumors.

Short-term treatment with carcinogens primes K14-basal cells for tumor formation by inducing an activated state

Currently, the most established system for modeling MIBC in mice is N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN)66. BBN is a nitrosamine that is metabolized in the liver to N-butyl-N-(3-carboxypropyl)nitrosamine, which is found in tobacco products66,67,68. Five months of exposure to BBN induces basal subtype tumors, however short exposure induces a potent inflammatory response that resolves by ~1 month and recedes as tumors form69. An interesting possibility is that this transient response to BBN might be important for priming urothelial cells, which are largely quiescent, to re-enter the cell cycle and produce tumors. To address this question, BBN was administered to wild-type mice in water for 4 weeks, then we analyzed the urothelium from treated and untreated mice to determine the effects on urothelial populations as well as immune infiltration (Fig. 2a). Histological analysis revealed edema and immune infiltration in the bladder of BBN-treated mice which was not observed in controls, indicating the presence of inflammation (Fig. 2b, c). Consistent with this, immunostaining revealed significant leukocyte infiltration in BBN-treated mice, as well as upregulation of p65 subunit of Nf-kb, a complex, that controls both innate and adaptive immunity (Fig. 2d–g). These observations were confirmed by RNA-seq analysis, which revealed upregulation of T-cell markers (Cd4 and Cd8), proinflammatory cytokines (Il1a, Il6, Il18, IFNg, and TNFa), and transcription factors, including Nfkb, Foxp3, Stat3 and Jun, Batf, and Fosl1, which are Ap1 family members that are important regulators of the immune response70 (Fig. 2p, Supplementary Fig. 2a).

Fig. 2: Short BBN treatment induces a wound-healing response in the urothelium that primes basal cell progenitors for tumorigenesis.
figure2

a Schematic representation showing activation of K14-progenitors. bc Histology of bladders from untreated mice (b) and from mice treated with BBN for 1 month (c); the black double-headed arrow denotes edema. Scale bars, 200 μm. di Immune infiltration visualized by Cd45 staining in bladders from untreated controls (d) and mice treated with BBN for 1 month (e). Expression of p65 in controls (f) and in mice treated with BBN for 1 month (g). Expression of Ki67 in controls (h) and in bladders from mice treated with BBN for 1 month (i). White arrows denote cells positive for Cd45 (e), p65 (g), and Ki67 (i) in bladders from BBN-treated animals. The inserts in e and i show images at higher magnification. jo Loss of normal urothelial populations and gain of squamous populations in bladders from a mouse treated with BBN for 1 month. Krt14 expression in control (j) and in urothelium from a mouse treated with BBN for 1 month (k). Yellow arrows in j denote a Krt14-expressing cell. Krt20 expression in a control (l) and in the urothelium from a mouse treated with BBN for 1 month (m). The yellow arrow in l denotes a Krt20-expressing S-cell. The white arrow in m denotes the loss of Krt20-positive S-cells after BBN treatment. Krt6a expression in control (n) and in urothelium from a mouse treated with BBN for 1 month (o). The yellow arrow in n denotes the absence of detectable Krt6a expression in the untreated urothelium. White arrows in o denote activated basal cells expressing Krt6a, a squamous marker not present in the healthy urothelium. Scale bars, 50 μm. p Heatmaps of luminal/basal gene signatures and immune cell signatures generated from pathway analysis of RNA-seq performed on the urothelium of control and BBN-treated bladders.

Further analysis by immunostaining and RNA-seq revealed widespread proliferation in the urothelium of BBN-treated compared with untreated controls, where proliferating cells were rare (Fig. 2h, i). This short BBN treatment also caused profound alterations in urothelial populations: K14-Basal cells, which are rare in controls and are confined to the basal layer, now populated most of the urothelium in BBN-treated mice (Fig. 2j, k). Consistent with the massive expansion of the K14-population, we observed depletion of I-cells and S-cells in BBN-treated mice, evidenced by downregulation of Krt20 (Fig. l, m) as well as Fgfr3, Foxa1, Gata3, Krt18, and Upks (Fig. 2p). On the other hand, BBN exposure induced upregulation of Krt6a which is barely detectable in the urothelium of healthy mice (Fig. 2n, o) as well as keratins expressed in squamous epithelia including Cd44, Krt1, Krt16, Krt6b, and Krt5 (Fig. 2p). In addition to BBN, we found that exposure to another urotoxin cyclophosphamide71 induces similar activation of the K14-Basal cells (Supplementary Fig. 2b–m). K14-progenitors in the skin and airways, which are also barriers, upregulate Krt14, Krt16, and Krt6a and undergo squamous differentiation. Hence, this activation state may be a conserved reaction to injury, perhaps maintaining the barrier by regenerating a layer of squamous tissue in response to injury.

VP16;PPARG expression in activated basal cells induces luminal tumor formation

Long-term BBN treatment of wild-type mice results in basal subtype tumors35,72; however, a short BBN exposure activates the urothelium, which becomes proliferative and is populated almost exclusively with K14-Basal cells compared with untreated mice (Fig. 2h–o). We tested whether expression of the VP16;Pparg protein after activation could alter the pathway of tumor formation from basal subtype to luminal subtype (Fig. 3a). K5VP16;Pparg mutants and controls were exposed to BBN for 1 month, after which tamoxifen was administered intravesically under ultrasound guidance. Ultrasound analysis after 4 months revealed thickening of the bladder wall in controls and protrusions in the lumen of mutants (Fig. 3b, c). Hematoxylin and eosin stain (H&E) revealed papillary-like structures in K5VP16;Pparg mutants and invasive lesions in VP16;Ppargfl/fl controls (Fig. 3d, e). The pathological evaluation suggested that lesions in K5VP16;Pparg mutant mice were consistent with a human papillary luminal subtype of bladder cancer, whereas tumors in controls lacking the transgene presented features of the human basal/squamous subtype, as expected. Lesions in the K5VP16;Pparg mutant bladders were enriched with Ta and T1 (exophytic) lesions (Fig. 3l), whereas control bladders without the VP16;Pparg transgene contained invasive T3 (basal) lesions (Fig. 3t, x). Laminin and smooth muscle actin (SMA) staining allowed us to clearly visualize the fibrovascular core of luminal lesions, a hallmark of papillary (luminal) tumors while in controls, vasculature was widespread (Fig. 3f, g). To confirm that lesions derived from basal cells in mutants and controls, we analyzed bladders from K5VP16;Pparg;mTmG mutants and K5;mTmG controls 4 months after tamoxifen induction when lesions were clearly visible. In both cases, lesions were almost completely Gfp-positive (Supplementary Fig. 3a, b), indicating that they are derived from Gfp+ basal cells.

Fig. 3: Activation of Pparg in K5VP16;Pparg mice produces luminal bladder tumors.
figure3

a Schematic showing time-course of tamoxifen and BBN treatment used in experiments with K5VP16;Pparg mice and controls. bg Ultrasound images of VP16;Ppargfl/fl control bladders (b) and a K5VP16;Pparg mutant (c) 4 months after Tamoxifen induction. Yellow arrow in c denotes a lesion protruding into the lumen. H&E images of bladders from a VP16;Ppargfl/fl control (d) and a K5VP16;Pparg mutant (e) 4 months after Tamoxifen induction. Double black arrows in (e) denote high grade papillary lesions. Expression of E-cadherin, smooth muscle actin, and laminin in a VP16;Ppargfl/fl control (f) and in a K5VP16;Pparg mutant (g). hw An H&E image of human luminal tumor (h), a K5VP16;Pparg mutant tumor (l), a human basal tumor (p), and a VP16;Pparg control basal tumor (t). Expression of Krt14, P63, and Krt6a in a human luminal tumor (i), a K5VP16;Pparg mutant tumor (m), a human basal tumor (q), and a VP16;Pparg control basal tumor (u). Krt20 and Pparg expression in a luminal tumor (j), a K5VP16;Pparg mutant tumor (n), a human basal tumor (r), and a VP16;Pparg control basal tumor (v). Ki67 and Foxa1 expression in a luminal tumor (k), a K5VP16;Pparg mutant tumor (o), a human basal tumor (s), and a VP16;Pparg control basal tumor (w). x Quantification of the percentage of luminal tumors observed in VP16;Pparg controls (n = 10) and K5VP16;Pparg mutants (n = 10). Box plots display minima, maxima, and interquartile range (IQR). Significance was calculated by a one-sided Mann–Whitney U test. ****p = 3.14e-05. y Upregulated and downregulated signaling pathways based on RNA-seq analyses of K5VP16;Pparg mutant tumors compared to VP16;Ppargfl/fl basal control tumors 4 months after tamoxifen induction. p values were calculated by hypergeometric test and corrected for multiple testing. Scale bars in de 200 μm. Scale bars in fw, 100 μm. Source data are provided as a Source Data file.

Comparison of BBN-induced lesions in K5VP16:Pparg luminal lesions with human luminal tumors from patients revealed a similar branched exophytic structure and a fibrovascular core in both. Conversely, BBN-treated control lesions were invading into the submucosa and muscle, similar to the human basal tumor (Fig. 3h, l, p, t). Immunostaining of human and mouse lesions with markers expressed in basal subtype lesions (Krt14 and Krt6a) revealed robust expression in the BBN-treated controls and human basal tumor, whereas there was little if any expression in lesions from mouse K5VP16;Pparg mutants or luminal lesions from human patients (Fig. 3i, m, q, u). Analysis with markers expressed in luminal subtype tumors (Krt20, Pparg, Foxa1) revealed little expression in control BBN-induced basal lesions and human basal tumors, whereas expression was prominent in luminal human tumors and K5VP16;Pparg tumors (Fig. 3j, k, n, o, r, s, v, w). Expression of Ki67, which marks proliferating cells, was distinct in basal and luminal tumors. In basal tumors, Ki67 expression was in cells adjacent to the basement membrane of lesions, while in luminal tumors proliferating cells were scattered (Fig. 3k, o, s, w).

RNA-seq analysis of laser-captured cells from K5VP16;Pparg and control mice revealed co-clustering with genes expressed in tumors with luminal and basal subtypes, respectively. Comparison of the transcriptomes of BBN-induced tumors with subtypes from Cancer Genome Atlas (TCGA) human tumors (n = 408) and known luminal bladder cancer model Upk3a-CreERT2; Trp53L/L; PtenL/L; Rosa26LSL-Luc (UPPL) tumors and controls reveal that the K5VP16;Pparg mutant lesions co-clustered with luminal and luminal Papillary TCGA samples, which express a set of markers including Pparg, Foxa1, Krt18, and Krt20 (Supplementary Fig. 3e). Control basal lesions from BBN-treated VP16;Ppargfl/fl mice co-clustered with the Basal Squamous TCGA samples, which express a set of markers including CD44, Krt5, Krt14, and Krt6a (Supplementary Fig. 3e). Pathway analysis revealed upregulation of genes related to metabolism in K5VP16;Pparg mutant lesions (Fig. 3y), which is not surprising given the known role of Pparg as a regulator of mitochondrial biogenesis and fatty-acid metabolism. Oil-red-O staining showed accumulation of lipid droplets in the urothelium of K5VP16;Pparg1 month after Tamoxifen induction, however, we did not observe lipid droplets in the K5VP16;Pparg mutant luminal tumors (Supplementary Fig. 3c, d). Pathways related to cell cycle, T-cell activation, and cytokine signaling are downregulated in the K5VP16;Pparg mutant lesions, suggesting the immune response is dampened in the Pparg activated luminal tumors (Supplementary Fig. 3e). Taken together, these findings suggest activating Pparg in activated basal cells can induce basal tumors to adopt a luminal fate.

Pparg induced luminal tumors are immune cold

An important distinction in the classification of tumors is whether the tumor is immune “hot” or immune “cold.” Hot tumors are characterized by increased immune cell trafficking, an abundance of inflammatory cytokines and antigen-presenting cells, increased T-cell activation, and increased major histocompatibility complex expression. Cold tumors have low to no immune cell trafficking, impaired T-cell activation, an abundance of myeloid-derived suppressor cells, and regulator T cells that release immunosuppressive cytokines73,74. Human basal and luminal MIBCs demonstrate varying degrees of immune infiltration and respond differently to checkpoint inhibitors. Immune infiltration is mostly associated with the basal/squamous and stroma-rich subtypes of MIBC, whereas the luminal subtypes are often immune cold21, suggesting that the tumor microenvironment in bladder cancer is driven by subtype-specific differences. However, whether the immune exclusion phenotype is due to active immune suppression in the luminal subtypes largely unknown. Pparg is known to regulate a number of immune responses, including NF-kB suppression and interactions with the AP1 pathways75,76,77,78. Unsupervised clustering of K5VP16;Pparg mutants and VP16;Ppargfl/fl control tumors using previously established immune gene signature demonstrated overall low levels of the immune response, similar to the UPPL luminal bladder cancer model (Fig. 4a,35). In contrast, the control tumors showed very active immune signatures (Fig. 4a). To further investigate these findings, we compared expressions of Nf-kb subunit p65 and Cd45 in K5VP16;Pparg mice and VP16;Ppargfl/fl controls (Fig. 4b–e). Immunostaining of control basal tumors revealed widespread nuclear expression of p65, indicating that Nf-kb is activated throughout the tumor. In addition, we observed numerous infiltrating Cd45+ leukocytes (Fig. 4c, e). Analysis of p65 expression in K5VP16;Pparg mutant tumors, reveal little if any nuclear expression, suggesting that Nf-kb is inactive in the mutants. Likewise, we did not observe infiltrating immune cells in these lesions based on Cd45 expression. Pparg actively represses Nf-kb expression, suggesting that Pparg is likely to be important for inducing the immune cold phenotype in luminal tumors.

Fig. 4: K5VP16;Pparg tumors are immune cold.
figure4

a Immune gene signatures of K5;mTmG control tumors, K5;VP16;Pparg;mTmG mutant tumors, tumors induced by BBN, and UPPL primary tumor samples. Expression of p65 and E-cadherin in controls (b) and in K5VP16;Pparg mutant tumors (d). Expression of Cd45 and Ecad in controls (c) and in K5VP16;Pparg mutant tumors (e). Yellow arrows in b and c denote p65 and Cd45-expressing cells in control tumors. Scale bars, 100 μm.

A subset of luminal tumors in K5VP16;Pparg mutants undergo a shift toward the basal subtype

During the course of our analysis, we observed a domain in a few luminal tumors that appear to be more basal in character than luminal (Fig. 5a, e). Mixed subtypes were observed n 15/70 lesions in K5VP16;Pparg mutants 4 months after Tamoxifen induction (Table 1, Supplementary Fig. 4a). However, these mixed subtype tumors were rare in animals analyzed 1 month earlier, where only 1/28 lesions displayed a mixed subtype (Table 1, Supplementary Fig. 4a), suggesting that the shift increases with time. Analysis with Krt6a and Krt14, markers that stain basal subtype tumors, revealed robust expression throughout basal lesions in controls that were exposed to BBN for 5 months but do not express the VP16;Pparg transgene (Fig. 5b). Analysis of Krt6 and K14 expression in tumors with mixed histology revealed little staining in the luminal compartment (Fig. 5f, green line), whereas staining was increased in the basal-like compartment (Fig. 5f, blue line). Pparg expression was undetectable in basal control tumors (Fig. 5c), whereas expression was maintained at high levels in the mutant luminal upper domain (Fig. 5g). In the basal-like portion of these mixed lesions, however, levels were lower compared with the luminal domain (Fig. 5g).

Fig. 5: K5VP16;Pparg;mTmG luminal tumors develop basal domains.
figure5

ak H&E images of a K5;mTmG control tumor (a) and a K5VP16;Pparg;mTmG mutant tumor (e) 4 months after induction. Expression of Krt14 and Krt6a in a K5;mTmG control tumor (b) and K5VP16;Pparg;mTmG mutant tumor (f) 4 months after induction. Expression of Pparg in a K5;mTmG control tumor (c) and a K5VP16;Pparg;mTmG mutant tumor (g) 4 months after induction. Expression of Gfp in a VP16;Pparg;mTmG control tumor (d) and in a K5VP16;Pparg mutant tumor (h) 4 months after Tamoxifen induction. ik Heatmaps and schematic representation showing tumor evolution. The luminal portion of a K5VP16;Pparg mutant tumor is shown in green (i) and the basal domain is depicted in blue (j). k shows a schematic representation of a control basal tumor, which is depicted in red. Scale bars, 100 μm.

Table 1 Quantification of tumor class in VP16;Pparg controls and K5VP16;Pparg mutants.

Lineage tracing of K5;mTmG controls, revealed Gfp expression throughout Basal subtype tumors (Fig. 5d). Analysis of K5VP16;Pparg;mTmG mice revealed Gfp-labeling both in the luminal domain and in the basal-like domain of mixed subtype tumors, indicating that both luminal and basal-like compartments arose from cells expressing the K5VP16;Pparg;mTmG transgene (Fig. 5h). The observations that (i) number of tumors with the mixed basal/luminal subtype increases with time, (ii) that these tumors express Pparg both in luminal and basal-like domains (iii) that both luminal and basal domains are Gfp positive, suggests that lower basal-like domain derived from the upper luminal tumor, and had begun to shift from a luminal to a basal subtype.

To further characterize changes in the mixed subtype lesions, we performed RNA-seq analysis using laser capture to collect tissue from the luminal and basal-like domains separately, as well as from basal subtype controls. Analysis of basal subtype controls revealed high levels of expression of basal subtype markers, including CD44, Krt6a, Krt14, and Krt16, whereas expression of luminal markers was low (Fig. 5k, Supplementary Fig. 4b). Analysis of the upper luminal domain of mixed subtype lesions revealed a pattern of expression typical of luminal tumors; basal markers were downregulated and luminal markers including Pparg, Upks, Krt20, Gata3, and Foxa1 were upregulated (Fig. 5i, Supplementary Fig. 4b). Expression of most luminal markers was low in the basal-like portion of the tumor compared with the luminal upper portion (Fig. 5j, Supplementary Fig. 4b) while a subset of basal markers was upregulated, consistent with the results of immunostaining (Fig. 5j, Supplementary Fig. 4b). Pathway analysis revealed increases in genes important for metabolism and lipid synthesis, as well as glutathione-mediated detoxification, a likely response to BBN exposure and the Ppar signaling pathway. Genes upregulated in the basal portion of the mixed subtype tumors include those important for cell cycle regulation, T-cell signaling, and inflammation, which is consistent with the immune infiltrated phenotype of basal subtype tumors (Supplementary Fig. 4c). Taken together, our observations suggest that advanced luminal tumors lose Pparg expression, display increased expression of basal markers, and develop invasive basal domains. This shift in phenotype has recently been reported in patient-derived organoids52 as well as in human tumors51. We have established a mouse model that undergoes a phenotypic shift from a luminal subtype towards a basal subtype. Luminal tumors are often classified as NMIBC, however, muscle-invasive lesions develop in 10–20% of patients diagnosed with luminal NMIBC. An important question is whether the invasive lesions develop from the original luminal tumor in a similar way as observed here since luminal tumors are generally removed by transurethral resection of tumors (TURBT), which may leave behind the basal-like invasive portion of the tumor.

Discussion

Pparg has the capacity to regulate numerous cellular functions, including metabolism, fatty-acid transport, and cell-type specification. PPARG expression is downregulated in the basal subtype of bladder cancer, and amplification of the PPARG gene or activating mutations in RXR, the PPARG binding partner, are present in ~17% of luminal tumors22,79,80, which has led to the suggestion that PPARG drives luminal tumor formation. The healthy urothelium is populated by a superficial layer of S-cells which are post-mitotic, layers of I-cells that can replace S-cells when they die off during homeostasis or acute infection, K5-Basal cells that reside in the basal and suprabasal layers, and K14-Basal cells, which are rare and are confined to the basal layer. Based on lineage studies with the Krt5CreERT2 driver, K14-basal cells have the capacity to regenerate the urothelium de novo5,11,12, and lineage studies together with a BBN model of carcinogenesis indicate that K14-Basal cells also give rise to bladder cancers10. Our studies indicate that Pparg has an important role in specifying the differentiation program of K14-Basal cells. Our previous studies suggest that loss of Pparg results in the impaired differentiation of I-Cells and S-cells, increased proliferation, and squamous metaplasia. In this case, the K14-basal population expands and produces squamous cell types instead of endogenous urothelial populations43. The studies described here indicate that active Pparg signaling can induce K14-Basal cells to differentiate into S-cells in situ and can also shift the differentiation program in basal subtype bladder cancer toward a luminal subtype. We also observe changes in the differentiation state of luminal tumors over time that suggest a luminal to basal shift is occurring. This shift is accompanied by downregulation of Pparg as well as other luminal markers. Whether loss of Pparg is the critical factor that induces these changes is an important question.

Cigarette smoking is a major risk factor for bladder cancer1. Several studies indicate that carcinogens in tobacco smoke induce the formation of DNA adducts that lead to DNA damage and point mutations81,82. Point mutations can lead to the production of neoantigens that are recognized as foreign by resident dendritic cells or macrophages triggering an inflammatory response. Expression of the VP16;Pparg transgene in K14-Basal cells during homeostasis induces a terminal differentiation program, however, we find that a short period of exposure to BBN, a carcinogen or cyclophosphamide that contains acrolein alters the urothelial microenvironment, inducing an inflammatory response that may prime K14-basal cells for tumor formation.

Studies in the skin and airways indicate that K14-basal cells, which are progenitors in both tissues, respond to injury or inflammation by taking on an activated state48,49,83. These cells produce squamous epithelial cells instead of epidermal cell types, which upregulate Krt6a and Krt16. We find a similar situation exists in the urothelium in response to a short period of carcinogen exposure. K14-basal progenitors normally self-renew and produce K5-Basal cells that populate the basal and suprabasal layers, and I-cells daughters that differentiate into S-cells. We find that 1 month of BBN exposure or repeated exposure to cyclophosphamide induces an activation state in K14-basal cells similar to that observed in the epidermis and airways. The K14-basal population becomes proliferative, expands, and ceases producing endogenous urothelial cell types (K5-basal cells and I-cells), instead  K14-basal progenitors produce squamous cell daughters that express Krt6a and Krt16, which are not detected in the healthy urothelium.

The activation process in the skin is initiated by secretion of IL-1 and TNFa84,85, and is thought to be sustained by TNFa and TGF signaling, leading to activation of the NF-kB-signaling pathway and the associated inflammatory responses86,87,88,89. Consistent with this, we also observed upregulation of Il-1, TNF, IFNg, and NF-kB signaling in the bladder after short-term BBN treatment. Inflammatory reactions have long been implicated as a precursor prior to the formation of tumors in several types of cancer90, which in this case may be a response to neoantigen production. The basal cell activation program and squamous differentiation observed in response to injury in the urothelium and other epithelial barriers may have evolved as a mechanism for temporary repair; our studies suggest that this injury response may also be a hallmark of tumor formation in urothelial carcinoma.

RNA-seq analysis reveals downregulation of a large number of immune mediators in luminal tumors in K5VP16;Pparg mutants that based on the distribution of immune cells, are immune cold. In some types of cancer, with immune suppression, immune cells are observed near tumors but fail to penetrate. In luminal tumors of K5VP16;Pparg mutants, however, immunostaining reveals few if any immune cells in or near tumors, whereas control basal subtype tumors are immune infiltrated. Nf-kb is a master regulator of the immune response, and the Rela subunit p65, is transcriptionally regulated by Pparg75,91. We find abundant nuclear p65 in basal subtype tumors in controls lacking VP16;Pparg indicating active Nf-kb signaling, but p65 is barely detectable in luminal tumors of K5VP16;Pparg mutants. Although other possibilities exist, these observations raise the interesting possibility that Pparg-dependent suppression of Nf-kb activity may contribute to the immune cold phenotype in luminal tumors.

Intra-tumor heterogeneity and evolution have been observed in bladder cancer studies of tumor-derived organoids and mutational analysis of human tumors52,92,93. We observe altered histology at the base of luminal tumors in K5VP16;Pparg mutants that appears 4 months after Tamoxifen induction, but not before, suggesting that this phenotype is acquired over time. These domains express basal markers including Krt6a, and downregulate luminal markers. It is likely that new mutation acquisition from sustained exposure to BBN after tamoxifen induced expression of the VP16;Pparg transgene may be a driver of these changes, as bladder cancer has one of the highest tumor mutational burden. However, the observation that they form, and are in a basal position suggests that they may not be observed in biopsies of luminal subtype tumors taken from patients, or may remain after TURBT treatment, thus contributing to recurrence and progression from NMIBC to MIBC.

Methods

Mice

To generate an inducible VP16;Pparg mouse line, a VP16;Pparg cDNA was cloned into the AscI site of the CTV vector (Addgene #15912) via Gibson assembly method to generate pCTV-VP16PPARG gene-targeting vector placing a CAG promoter, a STOP cassette (Loxp-Neo-Loxp), the VP16PPARG cDNA and an IRES-EGFP into intron 1 of the ROSA26 gene. The VP16PPARG is expressed from a synthetic CAG promoter after the removal of the STOP cassette by Cre recombinase. The pCTV-VP16PPARG gene-targeting vector was linearized by AloI and electroporated into KV1 (129B6 hybrid) ES cells to generate targeted ES cells with modified ROSA26-CAG-STOP-VP16Pparg allele. The targeted ES cells were injected into the C57BL/6N blastocysts to generate germline chimeras. The male chimeras were bred to wild-type C57BL/6N females to transmit the ROSA26-CAG-STOP-VP16PPARG-IRES-EGFP allele. For conditional tissue-specific expression of the VP16;Pparg, the master ROSA26-CAG-STOP-VP16PPARG-IRES-EGFP mouse line was crossed to Krt5CreERT2 and induced by Tamoxifen. mTmGfl/fl (Gt(ROSA)26Sortm4(ACTB-tdTomato,-EGFP)Luo/J) mice were obtained from Jackson Laboratory (stock #007576). K5CreERT2 mice (FVB.Cg-Tg(KRT5cre/ERT2)2Ipc/JeldJ) were obtained from D. Metzger and P. Chambon. Primers used for genotyping are detailed in Supplementary Table 1. All work with mice was approved by and performed under the regulations of the Columbia University Institutional Animal Care and Use Committee. Animals were housed in the animal facility of Irving Cancer Research Center, Columbia University. Animals were housed in a standard cage of 75 square inches at or below the maximum cage density permitted by IACUC protocol. The temperature was maintained between 68 and 79 °F. Humidity was maintained between 30 and 70%. A timed-controlled lighting system was used for a uniform diurnal lighting cycle.

Human specimens

Bladder tumors were obtained from patients undergoing TURBT at Columbia University Irving Medical Center. All patients gave informed consent under the Columbia University Institutional Review Board-approved protocols.

Intraperitoneal tamoxifen induction

Mice (8–12 weeks of age) were injected with tamoxifen (Sigma cat#T5648) dissolved in corn oil, at a dose of 5 mg per 30 g body weight for three times over the course of one week.

Ultrasound-guided tamoxifen induction

Mice (8–12 weeks of age) were injected with 150 μL of 4-OHT dissolved in DMEMF12/Tween 80 at a dose of 80 μg/mL every other day for two dosages using a VEVO 3100 Ultrasound Imaging System (FUJIFILM VisualSonics, Toronto, Canada) located within the mouse barrier in the Herbert Irving Cancer Center Small Animal Imaging facility.

BBN treatment

BBN (0.05%; Sigma cat#B8061-1G) was administered in the water supply daily for 3.5–24 weeks to induce bladder cancer. Mice were euthanized at 3.5 or 24 weeks. All bladders were removed and embedded for sectioning and staining.

Laser capture microdissection (LCM)

Five-month BBN K5VP16;Pparg and control bladders were flash-frozen sagitally in OCT and stored at −80°C. The specimen blocks were placed in the Leica CM3050 cryostat chamber for 5–10 min to temperature equilibrate. The tissue was sectioned at 5 μm on Arcturus PEN Membrane glass slides (Applied Biosystems cat#LCM0522) and the slides were immediately stored at −80°C. In all, 1 h prior to LCM, slides were removed from the −80°C and stained with Arcturus HistoGene Staining Solution (ThermoFisher Scientific cat#KIT0415) according to the manufacturer’s protocol. Tissue was then laser captured on a Zeiss AxioObserver.Z1 inverted microscope into AdhesiveCap 200 opaque caps (Zeiss cat#000830-19). In total, 240 μL of RLT Lysis Buffer (Qiagen cat#1015750) was then added to the captured tissue. The suspension was then processed for total RNA extraction. Samples with a RIN (regulation identification number) >6.5 were used for RNA-seq. These samples then were sequenced according to the steps listed in the RNA-Sequencing method.

Single-cell dissociation

Cold active protease (CAP), was prepared and stored on ice (5 mM CaCl2, Sigma cat#21115, 10 mg/mL Bacillus Licheniformis protease, Sigma cat#P5459, 12.5 U/mL DNAse, Sigma cat#4716728001). Mice were perfused with 20 mL of CAP using a small vein infusion set (Kawasumi cat#D3K2-23G) and two 10 mL syringes per mouse. Bladders were dissected and immediately put in a 60 mm × 15 mm petri dish (Fisherbrand cat#FB0875713A) containing CAP on ice for 10 min. The bladders were then transferred to HBSS media (ThermoFisher cat#14170-112) containing 1% bovine serum albumin (Sigma cat#A2058) and 0.1% glucose, where they were inverted and the urothelium was manually separated from the stroma. The cell suspension was then collected into a 1.5 mL Eppendorf tube on ice and gently triturated until the cells were in a single-cell suspension.

RNA-sequencing

For homeostasis experiments, K5VP16;Pparg;mTmG and K5;mTmG single-cell suspensions were filtered through a 70 μm filter (Fisherbrand cat#22363548) and then sorted on a BD Aria II Cell Sorter using a 130 μm nozzle aperture and 13 psi pressure to collect GFP-positive cells. Gating strategy was performed on BD FACSDiva Software v 8.0. Cells were then centrifuged at 500 × g for 30 min at 4°C. The supernatant was discarded, and the pellet was processed for total RNA extraction. Samples with a RIN (regulation identification number) >8 were used for RNA-seq. The libraries were prepared using the SMART-Seq® v4 Ultra® Low Input RNA Kit for Sequencing (TaKaRa) followed by Nextera XT (Illumina), both according to manufacturer’s instructions. They were sequenced to a targeted depth of 40 M 2 × 100 bp reads on a NovaSeq 6000 (Illumina). Differential expression analysis was performed by reading kallisto counts files into R using the R packages tximport (v.1.10.1) and biomaRt (v.2.34.2), and running DESeq2 (v.1.18) to generate log fold change values and p values between the two experimental groups. The heatmap and PCA plots were visualized after transforming the counts using VST (variance stabilizing transformation). Gene set analysis by ConsensusPathDB (Kamburov, A. et al. 2013) was used to identify significantly changed pathways.

Heatmaps

RNA reads were aligned to the mouse reference genome(mm10) using STAR (v2.5.3a). The transcript levels were then quantified using SALMON (v0.9.1). Count data were extracted from SALMON output using Tximport (Bioconductor), and normalized and log2-transformed using DESeq2 (Bioconductor). Heatmaps were generated by ComplexHeatmaps94. Box plots of selected genes were generated by ggplot2(R 3.6.2). Significance was calculated using Mann–Whitney U test. Heatmaps used unsupervised clustering of VP16;Pparg mouse tumors and BBN/UPPL mouse tumors across previously established immune gene signatures35. Each gene signature was calculated as the z score of the average value of all genes included in the signature. Gene expression of murine tumors and human tumors from The Cancer Genome Atlas (TCGA; n = 408) was combined using upper quantile normalization and co-clustered using basal/luminal marker genes.

Statistics and reproducibility

All quantitation was performed on at least three independent biological samples, using the ImageJ software. Data presented in box plots are mean values ± s.e.m. Statistical analysis was performed using the R version 4.0.4. In two group comparisons, statistical significance was determined using Mann–Whitney U test, considering a value of p < 0.05 as significant. The number of samples used in the experiments is included in figure legends. All immunostainings and H&E experiments were performed with at least three biological replicates and three technical replicates for each condition.

Immunostaining

Bladders were embedded in paraffin and serial sections were generated. For immunohistochemistry, paraffin sections were deparaffinized using HistoClear and rehydrated through a series of Ethanol and 1× phosphate-buffered saline (PBS) washes. Antigen retrieval was performed by boiling slides for 15 min in pH 9 buffer or 30 min in pH 6 buffer. Primary antibodies in 1% horse serum were incubated overnight at 4°C. The next day, slides were washed with PBST three times for 10 min each, and secondary antibodies were applied for 90 min at room temperature. DAPI (4′,6-diamidino-2-phenylindole) was either applied as part of the secondary antibodies cocktail or for 10 min, for nuclear staining and then the slides were sealed with coverslips. The conditions of antibodies used are detailed in Supplementary Table 1.

Fluorescent microscopy

Zeiss Axiovert 200 M microscope with Zeiss Apotome were used to collect immunofluorescent images. Bright-field images were collected using a Nikon Eclipse TE200 microscope. Data were analyzed using the Fiji package of ImageJ (v.1.0) and Photoshop screen overlay method (v. 21.1.0).

Cartoon schematics

Schematics were adapted from “Oral Tolerance Experiment”, by BioRender.com (2021). Retrieved from https://app.biorender.com/biorender-templates.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The data sets generated during and/or analyzed during the current study are available in the Gene Expression Omnibus (GEO) repository under GEO accession number GSE172656. The TCGA bladder cancer data set can be accessed from The Cancer Genome Atlas at https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga. The remaining data are available within the Article and Supplementary Information Source data are provided with this paper.

References

  1. 1.

    Society AC. Cancer Facts & Figures 2020. American Cancer Society (2020).

  2. 2.

    Jost, S. P. Cell cycle of normal bladder urothelium in developing and adult mice. Virchows Arch. B Cell Pathol. Incl. Mol. Pathol. 57, 27–36 (1989).

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Ma, E. et al. A multiplexed analysis approach identifies new association of inflammatory proteins in patients with overactive bladder. Am. J. Physiol. Ren. Physiol. 311, F28–F34 (2016).

    CAS  Article  Google Scholar 

  4. 4.

    Birder, L. A. Pathophysiology of interstitial cystitis. Int. J. Urol. 26, 12–15 (2019).

    PubMed  Article  Google Scholar 

  5. 5.

    Schafer, F. M. et al. Mode of surgical injury influences the source of urothelial progenitors during bladder defect repair. Stem Cell Rep. 9, 2005–2017 (2017).

    Article  Google Scholar 

  6. 6.

    Kullmann, F. A. et al. Urothelial proliferation and regeneration after spinal cord injury. Am. J. Physiol. Ren. Physiol. 313, F85–F102 (2017).

    CAS  Article  Google Scholar 

  7. 7.

    Colopy, S. A., Bjorling, D. E., Mulligan, W. A. & Bushman, W. A population of progenitor cells in the basal and intermediate layers of the murine bladder urothelium contributes to urothelial development and regeneration. Dev. Dyn. 243, 988–998 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. 8.

    Narla S. T. et al. Loss of fibroblast growth factor receptor 2 (FGFR2) leads to defective bladder urothelial regeneration after Cyclophosphamide injury. Am. J. Pathol. 191, 631–651 (2020).

  9. 9.

    Wang, J. et al. Polyploid superficial cells that maintain the urothelial barrier are produced via incomplete cytokinesis and endoreplication. Cell Rep. 25, 464–477 e464 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Papafotiou, G. et al. KRT14 marks a subpopulation of bladder basal cells with pivotal role in regeneration and tumorigenesis. Nat. Commun. 7, 11914 (2016).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    Shin, K. et al. Hedgehog/Wnt feedback supports regenerative proliferation of epithelial stem cells in bladder. Nature 472, 110–114 (2011).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Shin, K. et al. Cellular origin of bladder neoplasia and tissue dynamics of its progression to invasive carcinoma. Nat. Cell Biol. 16, 469–478 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Gandhi, D. et al. Retinoid signaling in progenitors controls specification and regeneration of the urothelium. Dev. Cell 26, 469–482 (2013).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Carattino, M. D. et al. Bladder filling and voiding affect umbrella cell tight junction organization and function. Am. J. Physiol. Ren. Physiol. 305, F1158–F1168 (2013).

    ADS  CAS  Article  Google Scholar 

  15. 15.

    Apodaca, G. The uroepithelium: not just a passive barrier. Traffic 5, 117–128 (2004).

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Truschel, S. T. et al. Stretch-regulated exocytosis/endocytosis in bladder umbrella cells. Mol. Biol. Cell 13, 830–846 (2002).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  17. 17.

    Yu, W., Khandelwal, P. & Apodaca, G. Distinct apical and basolateral membrane requirements for stretch-induced membrane traffic at the apical surface of bladder umbrella cells. Mol. Biol. Cell 20, 282–295 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Wu, X. R. et al. Mammalian uroplakins. A group of highly conserved urothelial differentiation-related membrane proteins. J. Biol. Chem. 269, 13716–13724 (1994).

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Guyon F. L. E. Mehu, C. Annales Des Maladies Des Organes Genito-Urinaires Nabu Press (1884).

  20. 20.

    SEER. U.S. Mortality Data. National Cancer Institute, (1969–2017).

  21. 21.

    Kamoun, A. et al. A consensus molecular classification of muscle-invasive bladder cancer. Eur. Urol. 77, 420–433 (2020).

    PubMed  Article  Google Scholar 

  22. 22.

    Cancer Genome Atlas Research N. Comprehensive molecular characterization of urothelial bladder carcinoma. Nature 507, 315–322 (2014).

    ADS  Article  CAS  Google Scholar 

  23. 23.

    Choi, W. et al. Identification of distinct basal and luminal subtypes of muscle-invasive bladder cancer with different sensitivities to frontline chemotherapy. Cancer Cell 25, 152–165 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Damrauer, J. S. et al. Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology. Proc. Natl Acad. Sci. USA 111, 3110–3115 (2014).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. 25.

    Hoadley, K. A. et al. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell 158, 929–944 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Volkmer, J. P. et al. Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc. Natl Acad. Sci. USA 109, 2078–2083 (2012).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Sjodahl, G. et al. A molecular taxonomy for urothelial carcinoma. Clin. Cancer Res. 18, 3377–3386 (2012).

    PubMed  Article  CAS  Google Scholar 

  28. 28.

    Robertson, A. G. et al. Comprehensive molecular characterization of muscle-invasive bladder cancer. Cell 171, 540–556 e525 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Rosenberg, J. E. et al. Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial. Lancet 387, 1909–1920 (2016).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Seiler, R. et al. Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival after neoadjuvant chemotherapy. Eur. Urol. 72, 544–554 (2017).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  31. 31.

    Warrick, J. I. et al. FOXA1, GATA3 and PPAR cooperate to drive luminal subtype in bladder cancer: a molecular analysis of established human cell lines. Sci. Rep. 6, 38531 (2016).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  32. 32.

    Sjödahl, G. et al. Infiltration of CD3+ and CD68+ cells in bladder cancer is subtype specific and affects the outcome of patients with muscle-invasive tumors. Urol. Oncol. 32, 791–797 (2014).

    PubMed  Article  PubMed Central  Google Scholar 

  33. 33.

    Kim, J. et al. The Cancer Genome Atlas expression subtypes stratify response to checkpoint inhibition in advanced urothelial cancer and identify a subset of patients with high survival probability. Eur. Urol. 75, 961–964 (2019).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    Kardos, J. et al. Claudin-low bladder tumors are immune infiltrated and actively immune suppressed. JCI Insight 1, e85902 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Saito, R. et al. Molecular subtype-specific immunocompetent models of high-grade urothelial carcinoma reveal differential neoantigen expression and response to immunotherapy. Cancer Res. 78, 3954–3968 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. 36.

    Lehrke, M. & Lazar, M. A. The many faces of PPARgamma. Cell 123, 993–999 (2005).

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Ahmadian, M. et al. PPARgamma signaling and metabolism: the good, the bad and the future. Nat. Med. 19, 557–566 (2013).

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Barak, Y. et al. PPAR gamma is required for placental, cardiac, and adipose tissue development. Mol. Cell 4, 585–595 (1999).

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Nagy, L. et al. Mechanism of corepressor binding and release from nuclear hormone receptors. Genes. Dev. 13, 3209–3216 (1999).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  40. 40.

    Perissi, V. et al. Molecular determinants of nuclear receptor-corepressor interaction. Genes. Dev. 13, 3198–3208 (1999).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Cohen, R. N. Nuclear receptor corepressors and PPARgamma. Nucl. Recept. Signal. 4, e003 (2006).

    PubMed  PubMed Central  Article  Google Scholar 

  42. 42.

    Bell, S. M. et al. Kruppel-like factor 5 is required for formation and differentiation of the bladder urothelium. Dev. Biol. 358, 79–90 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Liu, C. et al. Pparg promotes differentiation and regulates mitochondrial gene expression in bladder epithelial cells. Nat. Commun. 10, 4589 (2019).

    ADS  PubMed  PubMed Central  Article  CAS  Google Scholar 

  44. 44.

    Varley, C. L., Stahlschmidt, J., Smith, B., Stower, M. & Southgate, J. Activation of peroxisome proliferator-activated receptor-gamma reverses squamous metaplasia and induces transitional differentiation in normal human urothelial cells. Am. J. Pathol. 164, 1789–1798 (2004).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. 45.

    Varley, C. L. & Southgate, J. Effects of PPAR agonists on proliferation and differentiation in human urothelium. Exp. Toxicol. Pathol. 60, 435–441 (2008).

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Halstead A. M. et al. Bladder-cancer-associated mutations in RXRA activate peroxisome proliferator-activated receptors to drive urothelial proliferation. Elife 6, e30862 (2017).

  47. 47.

    Sugii, S. et al. PPARgamma activation in adipocytes is sufficient for systemic insulin sensitization. Proc. Natl Acad. Sci. USA 106, 22504–22509 (2009).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Freedberg, I. M., Tomic-Canic, M., Komine, M. & Blumenberg, M. Keratins and the keratinocyte activation cycle. J. Invest. Dermatol. 116, 633–640 (2001).

    CAS  PubMed  Article  Google Scholar 

  49. 49.

    Haensel, D. et al. Defining epidermal basal cell states during skin homeostasis and wound healing using single-cell transcriptomics. Cell Rep. 30, 3932–3947 e3936 (2020).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. 50.

    Zhang X., Yin M., Zhang L. J. Keratin 6, 16 and 17-critical barrier alarmin molecules in skin wounds and psoriasis. Cells 8, 807 (2019).

  51. 51.

    Lamy, P. et al. Paired exome analysis reveals clonal evolution and potential therapeutic targets in urothelial carcinoma. Cancer Res. 76, 5894–5906 (2016).

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Lee, S. H. et al. Tumor evolution and drug response in patient-derived organoid models of bladder cancer. Cell 173, 515–528 e517 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. 53.

    Saez, E. et al. PPAR gamma signaling exacerbates mammary gland tumor development. Genes. Dev. 18, 528–540 (2004).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  54. 54.

    Indra, A. K. et al. Temporally-controlled site-specific mutagenesis in the basal layer of the epidermis: comparison of the recombinase activity of the tamoxifen-inducible Cre-ER(T) and Cre-ER(T2) recombinases. Nucleic Acids Res. 27, 4324–4327 (1999).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  55. 55.

    Muzumdar, M. D., Tasic, B., Miyamichi, K., Li, L. & Luo, L. A global double-fluorescent Cre reporter mouse. Genesis 45, 593–605 (2007).

    CAS  PubMed  Article  Google Scholar 

  56. 56.

    Wilson, J. G., Roth, C. B. & Warkany, J. An analysis of the syndrome of malformations induced by maternal vitamin A deficiency. Effects of restoration of vitamin A at various times during gestation. Am. J. Anat. 92, 189–217 (1953).

    CAS  PubMed  Article  Google Scholar 

  57. 57.

    Wilson, J. G. & Warkany, J. Malformations in the genito-urinary tract induced by maternal vitamin A deficiency in the rat. Am. J. Anat. 83, 357–407 (1948).

    CAS  PubMed  Article  Google Scholar 

  58. 58.

    Cunningham, T. J. & Duester, G. Mechanisms of retinoic acid signalling and its roles in organ and limb development. Nat. Rev. Mol. Cell Biol. 16, 110–123 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. 59.

    Ghyselinck N. B. & Duester G. Retinoic acid signaling pathways. Development 146, dev167502 (2019).

  60. 60.

    Hoang, M. P., Wilson, K. S., Schneider, N. R. & Timmons, C. F. Case report of a 22-week fetus with 47,XXX karyotype and multiple lower mesodermal defects. Pediatr. Dev. Pathol. 2, 58–61 (1999).

    CAS  PubMed  Article  Google Scholar 

  61. 61.

    Lu, Y. et al. Comparative RNA-sequencing profiled the differential gene expression of liver in response to acetyl-CoA carboxylase inhibitor GS-0976 in a mouse model of NASH. PeerJ 7, e8115 (2019).

    PubMed  PubMed Central  Article  Google Scholar 

  62. 62.

    Suppli, M. P. et al. Hepatic transcriptome signatures in patients with varying degrees of nonalcoholic fatty liver disease compared with healthy normal-weight individuals. Am. J. Physiol. Gastrointest. Liver Physiol. 316, G462–G472 (2019).

    CAS  PubMed  Article  Google Scholar 

  63. 63.

    HM, A. E. et al. Multi-omics characterization of a diet-induced obese model of non-alcoholic steatohepatitis. Sci. Rep. 10, 1148 (2020).

    Article  CAS  Google Scholar 

  64. 64.

    Xiao, Y., Kim, M. & Lazar, M. A. Nuclear receptors and transcriptional regulation in non-alcoholic fatty liver disease. Mol. Metab. 50, 101119 (2020).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  65. 65.

    Yu, S. et al. Adipocyte-specific gene expression and adipogenic steatosis in the mouse liver due to peroxisome proliferator-activated receptor gamma1 (PPARgamma1) overexpression. J. Biol. Chem. 278, 498–505 (2003).

    CAS  PubMed  Article  Google Scholar 

  66. 66.

    Cohen, S. M. Urinary bladder carcinogenesis. Toxicol. Pathol. 26, 121–127 (1998).

    CAS  PubMed  Article  Google Scholar 

  67. 67.

    Bonfanti, M., Magagnotti, C., Bonati, M., Fanelli, R. & Airoldi, L. Pharmacokinetic profile and metabolism of N-nitrosobutyl-(4-hydroxybutyl)amine in rats. Cancer Res. 48, 3666–3669 (1988).

    CAS  PubMed  Google Scholar 

  68. 68.

    Mirvish, S. S. Role of N-nitroso compounds (NOC) and N-nitrosation in etiology of gastric, esophageal, nasopharyngeal and bladder cancer and contribution to cancer of known exposures to NOC. Cancer Lett. 93, 17–48 (1995).

    CAS  PubMed  Article  Google Scholar 

  69. 69.

    Degoricija, M. et al. The dynamics of the inflammatory response during BBN-induced bladder carcinogenesis in mice. J. Transl. Med. 17, 394 (2019).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  70. 70.

    Atsaves, V., Leventaki, V., Rassidakis, G. Z. & Claret, F. X. AP-1 transcription factors as regulators of immune responses in cancer. Cancers (Basel) 11, 1037 (2019).

    CAS  Article  Google Scholar 

  71. 71.

    Farsund, T. & Dahl, E. Cell kinetics of mouse urinary bladder epithelium. III. A histologic and ultrastructural study of bladder epithelium during regeneration after a single dose of cyclophosphamide, with special reference to the mechanism by which polyploid cells are formed. Virchows Arch. B Cell Pathol. 26, 215–223 (1978).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  72. 72.

    Fantini, D. et al. A Carcinogen-induced mouse model recapitulates the molecular alterations of human muscle invasive bladder cancer. Oncogene 37, 1911–1925 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Noman, M. Z. et al. Inhibition of Vps34 reprograms cold into hot inflamed tumors and improves anti-PD-1/PD-L1 immunotherapy. Sci. Adv. 6, eaax7881 (2020).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  74. 74.

    Rijnders, M., de Wit, R., Boormans, J. L., Lolkema, M. P. J. & van der Veldt, A. A. M. Systematic review of immune checkpoint inhibition in urological cancers. Eur. Urol. 72, 411–423 (2017).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  75. 75.

    Remels, A. H. et al. PPARgamma inhibits NF-kappaB-dependent transcriptional activation in skeletal muscle. Am. J. Physiol. Endocrinol. Metab. 297, E174–E183 (2009).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  76. 76.

    Chung, S. W. et al. Oxidized low density lipoprotein inhibits interleukin-12 production in lipopolysaccharide-activated mouse macrophages via direct interactions between peroxisome proliferator-activated receptor-gamma and nuclear factor-kappa B. J. Biol. Chem. 275, 32681–32687 (2000).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  77. 77.

    Ricote, M. & Glass, C. K. PPARs and molecular mechanisms of transrepression. Biochim. Biophys. Acta 1771, 926–935 (2007).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  78. 78.

    Ricote, M., Li, A. C., Willson, T. M., Kelly, C. J. & Glass, C. K. The peroxisome proliferator-activated receptor-gamma is a negative regulator of macrophage activation. Nature 391, 79–82 (1998).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  79. 79.

    Rochel, N. et al. Recurrent activating mutations of PPARgamma associated with luminal bladder tumors. Nat. Commun. 10, 253 (2019).

    ADS  PubMed  PubMed Central  Article  CAS  Google Scholar 

  80. 80.

    Biton, A. et al. Independent component analysis uncovers the landscape of the bladder tumor transcriptome and reveals insights into luminal and basal subtypes. Cell Rep. 9, 1235–1245 (2014).

    CAS  PubMed  Article  Google Scholar 

  81. 81.

    Pfeifer, G. P. et al. Tobacco smoke carcinogens, DNA damage and p53 mutations in smoking-associated cancers. Oncogene 21, 7435–7451 (2002).

    CAS  PubMed  Article  Google Scholar 

  82. 82.

    Weng, M. W. et al. Aldehydes are the predominant forces inducing DNA damage and inhibiting DNA repair in tobacco smoke carcinogenesis. Proc. Natl Acad. Sci. USA 115, E6152–E6161 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Shaykhiev, R. Multitasking basal cells: combining stem cell and innate immune duties. Eur. Respir. J. 46, 894–897 (2015).

    PubMed  PubMed Central  Article  Google Scholar 

  84. 84.

    Groves, R. W., Mizutani, H., Kieffer, J. D. & Kupper, T. S. Inflammatory skin disease in transgenic mice that express high levels of interleukin 1 alpha in basal epidermis. Proc. Natl Acad. Sci. USA 92, 11874–11878 (1995).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  85. 85.

    Kondo, T. & Ohshima, T. The dynamics of inflammatory cytokines in the healing process of mouse skin wound: a preliminary study for possible wound age determination. Int. J. Leg. Med. 108, 231–236 (1996).

    CAS  Article  Google Scholar 

  86. 86.

    Solt, L. A., Madge, L. A., Orange, J. S. & May, M. J. Interleukin-1-induced NF-kappaB activation is NEMO-dependent but does not require IKKbeta. J. Biol. Chem. 282, 8724–8733 (2007).

    CAS  PubMed  Article  Google Scholar 

  87. 87.

    Solt, L. A., Madge, L. A. & May, M. J. NEMO-binding domains of both IKKalpha and IKKbeta regulate IkappaB kinase complex assembly and classical NF-kappaB activation. J. Biol. Chem. 284, 27596–27608 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  88. 88.

    Lawrence, T. The nuclear factor NF-kappaB pathway in inflammation. Cold Spring Harb. Perspect. Biol. 1, a001651 (2009).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  89. 89.

    Ghosh, S. & Karin, M. Missing pieces in the NF-kappaB puzzle. Cell 109, S81–S96 (2002).

    CAS  PubMed  Article  Google Scholar 

  90. 90.

    Candido, J. & Hagemann, T. Cancer-related inflammation. J. Clin. Immunol. 33, S79–S84 (2013).

    PubMed  Article  CAS  Google Scholar 

  91. 91.

    Scirpo, R. et al. Stimulation of nuclear receptor peroxisome proliferator-activated receptor-gamma limits NF-kappaB-dependent inflammation in mouse cystic fibrosis biliary epithelium. Hepatology 62, 1551–1562 (2015).

    CAS  PubMed  Article  Google Scholar 

  92. 92.

    Heide, T. et al. Multiregion human bladder cancer sequencing reveals tumour evolution, bladder cancer phenotypes and implications for targeted therapy. J. Pathol. 248, 230–242 (2019).

    CAS  PubMed  Article  Google Scholar 

  93. 93.

    Warrick, J. I. et al. Intratumoral heterogeneity of bladder cancer by molecular subtypes and histologic variants. Eur. Urol. 75, 18–22 (2019).

    CAS  PubMed  Article  Google Scholar 

  94. 94.

    Gu, Z., Eils, R. & Schlesner, M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32, 2847–2849 (2016).

    CAS  PubMed  Article  Google Scholar 

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Acknowledgements

We thank Daniel Metzger for the Krt5CreERT2 line, Renu Virk for pathological evaluation of the tumors; Luis A. Pina Martina for obtaining human tumors; Lauren Shuman and David Degraff for assistance with laser capture microdissection; Chang Liu for discussions of experimental design; Yinglu Li for assistance in sequencing analysis; Lukas Vlahos for assistance in data representation; Jonathan Ruhl for genotyping. This work was supported by: NIDDK R01 DK095044 (C.L.M.), NIDDK U01 DK094530 (C.L.M.), TJMCU508-5926-URO, and T32 Training Grant DK07328 (T.T./T.X.) and the JPB Foundation (C.L.M.). This research used the resources of the Herbert Irving Comprehensive Cancer Center Genetically Modified Mouse Model Shared Resources, Flow Cytometry Shared Resources, Confocal and Specialized Microscopy Shared Resources, Molecular Pathology Shared Resources, Genomics and High Throughput Screening Shared Resources, and Oncology Precision Therapeutics and Imaging Core funded in part through Center Grant P30CA013696.

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T.T. designed experiments and analyzed the phenotypes in K5;VP16;Pparg mutant mice, prepared figures, and wrote the paper. T.X. assisted in designing experiments and analyzed the phenotypes in K5;VP16;Pparg mutant mice, prepared figures, and wrote the paper. S.E.W. performed pathological grading of tumors. M.Z. performed the TCGA and immune signatures analyses. W.Y.K. and C.L. helped interpret results. X.C. assisted in interpreting sequencing results. H.K. assisted in laser capture microdissection. E.B. performed immunostaining. C.S.L. created the VP16;Pparg mouse construct. J.M.M. provided human tumor samples. C.L.M. helped design experiments, interpret results, and wrote the paper.

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Correspondence to Cathy Lee Mendelsohn.

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Tate, T., Xiang, T., Wobker, S.E. et al. Pparg signaling controls bladder cancer subtype and immune exclusion. Nat Commun 12, 6160 (2021). https://doi.org/10.1038/s41467-021-26421-6

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