Abstract
CDH1 (E-cadherin) bi-allelic inactivation is the hallmark alteration of breast invasive lobular carcinoma (ILC), resulting in its discohesive phenotype. A subset of ILCs, however, lack CDH1 genetic/epigenetic inactivation, and their genetic underpinning is unknown. Through clinical targeted sequencing data reanalysis of 364 primary ILCs, we identified 25 ILCs lacking CDH1 bi-allelic genetic alterations. CDH1 promoter methylation was frequent (63%) in these cases. Targeted sequencing reanalysis revealed 3 ILCs harboring AXIN2 deleterious fusions (n = 2) or loss-of-function mutation (n = 1). Whole-genome sequencing of 3 cases lacking bi-allelic CDH1 genetic/epigenetic inactivation confirmed the AXIN2 mutation and no other cell-cell adhesion genetic alterations but revealed a new CTNND1 (p120) deleterious fusion. AXIN2 knock-out in MCF7 cells resulted in lobular-like features, including increased cellular migration and resistance to anoikis. Taken together, ILCs lacking CDH1 genetic/epigenetic alterations are driven by inactivating alterations in other cell adhesion genes (CTNND1 or AXIN2), endorsing a convergent phenotype in ILC.
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Introduction
Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of breast cancer, following invasive ductal carcinoma of no special type (IDC-NST), and accounts for approximately 15% of all invasive breast cancers1,2. The hallmark histologic feature of ILC is the discohesiveness of its neoplastic cells and the consequent growth pattern in the form of single cells and single cell files, which most commonly stem from CDH1 biallelic inactivation3,4. CDH1 maps to 16q22.1 and encodes for E-cadherin, a protein that plays pivotal roles in cell-cell adhesion mediating homophilic and homotypic adhesion in epithelial cells4. Bi-allelic CDH1 inactivation is found in approximately 80% of ILCs4,5, in the form of CDH1 bi-allelic mutations (i.e. a CDH1 pathogenic mutation coupled with loss of heterozygosity (LOH) of the wild-type allele or a compound heterozygote), homozygous deletions or CDH1 gene promoter methylation6,7,8. A subset of ILCs, however, lack CDH1 bi-allelic inactivation, despite displaying the typical lobular phenotype3,4. Previous studies have suggested that alterations in genes encoding for proteins that interact with E-cadherin in the cell adhesion complex, such as α-catenin (CTNNA1) might be present in those cases9. The evidence, however, is scant, and the molecular underpinning of the lobular phenotype in ILCs lacking CDH1 inactivation has yet to be determined.
We posited that ILCs lacking genetic or epigenetic CDH1 alterations would be driven by inactivation of other genes playing key roles in cell-cell adhesion. Here, we sought to identify and functionally characterize the genetic alterations underpinning ILCs lacking genetic or epigenetic alterations affecting CDH1.
Results
Clinicopathologic and genomic characteristics of primary ILCs lacking inactivating CDH1 genetic alterations
We conducted a retrospective query of 364 primary ILCs previously subjected to clinical tumor-normal targeted sequencing10 seeking to identify ILCs lacking CDH1 inactivating genetic alterations. Of 364 ILCs, 314/364 (86.3%) harbored CDH1 biallelic genetic alterations, 25/364 (6.9%) had monoallelic CDH1 genetic inactivation, and 25/364 (6.9%) lacked CDH1 genetic alterations. E-cadherin expression was assessed by immunohistochemistry (IHC) in 245/364 cases revealing that most ILCs displayed loss of E-cadherin expression (224/245; 91.4%), but also aberrant (12/245; 4.9%), decreased (8/245; 3.3%) and retained E-cadherin expression was observed (1/245; 0.4%; Supplementary Table S1). Notably, aberrant E-cadherin expression was found at a comparable rate (P = 0.52; Fisher’s exact test) across ILCs according to their CDH1 status (Supplementary Table S1).
The 25 primary ILCs lacking CDH1 inactivating genetic alterations included 14/25 classic ILCs (56%), 10/25 pleomorphic ILCs (40%), and one (1/25, 4%) trabecular ILC (Fig. 1a). Of these, 60% (15/25) and 40% (10/25) of cases were of histologic grades 2 and 3, respectively (Fig. 1a). Most (21/25; 84%) ILCs lacking CDH1 inactivating genetic alterations were estrogen receptor (ER)-positive/HER2-negative, three cases (3/25; 12%) were ER-positive/HER2-positive, and one case (1/25; 4%) was ER-negative/HER2-negative. Lobular carcinoma in situ (LCIS) and ductal carcinoma in situ (DCIS) were identified in 18/25 (72%) and 4/25 (16%) of cases, respectively. Notably, in the four cases in which DCIS was present, LCIS was also identified (Fig. 1a).
The most frequently altered genes in the cohort of ILCs lacking CDH1 inactivating genetic alterations were PIK3CA (10/25; 40%), affected by hotspot mutations (H1047R, n = 4; E542K, n = 3; E545K, n = 1; G118D, n = 1; M1043I, n = 1; N345K, n = 1; R88Q, n = 1), including two cases with 2 PIK3CA mutations, each, and TP53 (5/25; 20%; Fig. 1a). Other genes found to be frequently altered in these cases were ERBB2 (4/25; 16%), AXIN2, CCND1, PAK1, PTEN, RUNX1 and KMT2C (3/25; 12%, each; Fig. 1a). Mutational signatures were inferred in those cases (15/25) with ≥ 5 single base substitutions (SBSs). Akin to previous observations in CDH1-mutant ILCs8, most cases (7/15; 53%) displayed dominant APOBEC or a clock-like/aging (4/15; 27%) mutational signatures (Fig. 1a). Lastly, we sought to compare the repertoire of somatic oncogenic/likely oncogenic genetic alterations between ILCs lacking CDH1 inactivating genetic inactivation and ILCs harboring biallelic CDH1 inactivating genetic alterations. Besides CDH1, our analyses revealed no statistically significant differences between the two groups (Supplementary Fig. 1a). In addition, we found a comparable tumor mutation burden (TMB; P = 0.07; Mann-Whitney U test) and levels of chromosomal instability as inferred by the fraction of genome altered (FGA; P = 0.12; Mann-Whitney U test) between the two groups (Supplementary Figs. 1b, c).
CDH1 promoter methylation in ILCs lacking CDH1 inactivating genetic alterations
To determine whether the lobular phenotype in ILCs lacking CDH1 inactivating genetic alterations would be caused by epigenetic inactivation of this gene, we conducted the assessment of CDH1 promoter methylation status by methylation-specific PCR (MSP) and/or digital droplet PCR (ddPCR) in all cases with available formalin-fixed paraffin-embedded (FFPE) material (n = 16; see Methods). These analyses revealed that 10/16 (62.5%) cases displayed CDH1 promoter methylation, whereas 6/16 (37.5%) did not (Fig. 1a–c). Notably, all but one (9/10) of the cases showing CDH1 promoter methylation displayed concomitant 16q loss, along with complete loss of E-cadherin expression by IHC, suggesting that both alleles of CDH1 were inactivated in these cases (Fig. 1a). Of note, one (1/10) case (CDW19) harbored CDH1 gene promoter methylation without associated 16q loss, and displayed decreased but not completely absent, E-cadherin expression by IHC (Fig. 1a). Three of 6 cases without CDH1 gene promoter methylation showed complete loss of E-cadherin expression by IHC, while the other 3 cases displayed aberrant (n = 1), decreased (n = 1) or retained (n = 1) E-cadherin expression (Fig. 1a). Notably, 6/10 cases displaying CDH1 promoter methylation corresponded to classic ILCs, whereas most (4/6) of the ILCs lacking CDH1 promoter methylation corresponded to ILC variants, including two pleomorphic ILCs, one of which also displayed apocrine features, a trabecular ILC and a classic/ alveolar ILC (Fig. 1a and Figs. 2–4).
No statistically significant differences in terms of histologic subtype or frequency of somatic genetic alterations between cases displaying CDH1 gene promoter methylation (n = 10) and those with a non-methylated CDH1 promoter (n = 6) were observed (Fig. 1a). Notably, no differences in the mutational frequency in TP53, whose expression has been associated to CDH1 promoter methylation in non-lobular tumors11,12, were detected between the two groups (Fig. 1a). Given the low number of cases in this comparison, however, these negative results should be interpreted with caution, as type II or β errors cannot be excluded.
We sought to determine the presence of genetic alterations in genes playing pivotal roles in cell adhesion in cases lacking CDH1 genetic or epigenetic alterations. The reanalysis of MSK-IMPACT targeted sequencing data revealed three cases (CDW21, CDW29 and CDW30) with inactivating genetic alterations affecting AXIN2 that encodes for a multifaceted protein playing key roles in cell adhesion and differentiation13. CDW21 was a trabecular ILC displaying reduced E-cadherin expression which harbored a loss-of-function mutation affecting AXIN2 (Fig. 1a). Case CDW29 was a classic ILC harboring a PLXDC1-AXIN2 fusion gene resulting in the deletion of exons 3-13 of AXIN2 with loss of the DIX domain, and the β catenin- and GSK3 β- interacting domains, as well as truncation of the regulator of G protein signaling (RGS) domain (Fig. 1d, e). Case CDW30 was a pleomorphic ILC harboring an inversion focal inversion in the long arm of chromosome 17 with breakpoints in exon 5 of AXIN2 and an intergenic region in 17q, resulting in truncation of AXIN2 in exon 5 with ensuing the loss of the DIX and β catenin binding domains and truncation of the GSK3 β interacting domain (Fig. 1f, g). No material was available for cases CDW29 and CDW30 and CDH1 promoter methylation assessment was not conducted. No LOH of the wild-type allele was observed in any of the three ILCs with inactivating AXIN2 alterations. Haploinsufficiency of AXIN2 has been well documented, however14,15,16.
New molecular mechanisms underpinning the lobular phenotype identified by whole-genome sequencing
We posited that ILCs lacking CDH1 genetic or epigenetic alterations could be underpinned by the inactivation of genes involved in the cell-cell adhesion and/or by structural rearrangements not captured by targeted sequencing. To determine the molecular basis of their lobular phenotype, we subjected three cases to whole-genome sequencing (WGS), including two ILCs lacking genetic or epigenetic CDH1 alterations (cases CDW20 and CDW21) and case CDW19, which showed CDH1 promoter methylation in the absence of 16q loss (Fig. 1a).
Case CDW20 corresponded to a grade 2 classic ILC with focal alveolar growth, showing complete loss of E-cadherin expression and displaying cytoplasmic expression of p120 by IHC (Fig. 2a–c). WGS revealed no mutations in cell-cell adhesion genes. A clock-like/aging SBS mutational signature, along with an indel signature ID14, of cryptic origin was identified (Fig. 2d–g). Structural variant analysis revealed a translocation t(3;11) predicted to result in a deleterious fusion gene affecting CTNND1, which encodes for p120 (Fig. 2h), validated by reverse transcription-polymerase chain reaction (RT-PCR; see Methods) This translocation was predicted to result in the fusion of intron 11 of CTNND1 with exon 2 of DENND6A, resulting in the loss of exons 12 to 20 of CTNND1, which encode for key armadillo repeat domains, essential for the function of p120 and stabilization of the CDH1 complex17, which constitutes the likeliest basis for the lobular phenotype in this case. No LOH of the wild-type allele of CTNND1 was observed; this gene, however, is known to be happloinsufficient18.
Case CDW19 corresponded to grade 3 pleomorphic ILC showing reduced, although not completely absent, expression of E-Cadherin, as well as membranous and cytoplasmatic expression of p120 (Fig. 3a–c). These findings are in line with the observation of CDH1 gene promoter methylation without concurrent 16q loss (Fig. 1a). WGS analyses did not reveal mutations in cell adhesion genes in this case and showed aging/clock-like SBS mutational signature and an ID9 (cryptic origin) indel mutational signature (Fig. 3f, g). The most parsimonious cause for the lobular phenotype in this case is that promoter methylation affected one allele of CDH1, while the other allele was not affected genetically or epigenetically, resulting in partial reduction, but not complete loss, of E-cadherin expression (Fig. 1a; Fig. 3a–c).
Case CDW21 corresponded to a trabecular ILC of histologic grade 2 displaying markedly reduced expression of E-Cadherin, along with cytoplasmic p120 expression (Fig. 4a–c). WGS analysis validated the presence of the clonal W78* mutation affecting AXIN2, expected to result in a truncated protein product, identified by targeted sequencing, and showed no genetic alterations in other cell-cell adhesion genes. No LOH of the wild-type allele of AXIN2 was observed; haploinsufficiency, however, is a well-documented phenomenon for this gene14,15,16. In addition, a BRCA2 Q2506Sfs*21 somatic mutation associated to LOH (Fig. 4d, e) was detected, and this case displayed a dominant SBS homologous recombination (HR) DNA repair deficiency (HRD) mutational signature, a dominant ID6 (HRD) indel mutational signature, with enrichment in deletions with microhomology (Fig. 4f, g), an HRDetect score of 0.99, consistent with HRD (Fig. 4h). Taken together, case CDW21 corresponds to an HR-deficient ILC, whose lobular phenotype was likely driven by the loss-of-function of AXIN2.
Loss of AXIN2 results in the acquisition of lobular-like features in ER-positive breast cancer cell models
Given the identification of a loss-of-function (LOF) mutation and deleterious structural variants affecting AXIN2 in ILCs lacking CDH1 genetic and/or epigenetic alterations and without evidence of LOF mutations in other cell adhesion genes, as well as the evidence linking AXIN2 inactivation to cell adhesion, we sought to determine whether functional inactivation of this gene would result in the acquisition of lobular-like features in biologically relevant cell models. We employed the luminal A, ER-positive/HER2-negative breast cancer cell line MCF7, which retains E-cadherin expression19, and that expresses higher levels of AXIN2 compared to other ER-positive/HER2-negative breast cancer cells, such as CAMA1 and T47D (Supplementary Fig. S2). To determine whether AXIN2 LOF would result in the acquisition of lobular-like features, we knocked-out (KO) AXIN2 in MCF7 cells using three single guide RNAs (sgRNAs). Out of the 3 sgRNAs tested, sgRNA2 that targeted exon 2 of this gene, was the most efficient, with 99.5% of the DNA sequenced found to be mutated, and 94.5% of the mutations being frameshifting, as assessed by CRISPR-sequencing, and validated by Sanger sequencing (Supplementary Figs. S3a-S3b). Consistent with these observations, AXIN2 expression was reduced by approximately 70-80% in AXIN2-KO MCF7 cells compared to non-target (NT) control cells, as assessed by RT-PCR (Fig. 5a).
We then sought to determine whether MCF7 cells in which AXIN2 had been knocked-out would acquire lobular-like features. Whilst no differences in cell viability were observed in adherent conditions, in low attachment (suspension) conditions, as compared to NT controls, AXIN2-KO cells showed increased cell growth and increased viability after being reseeded in adherent conditions following 72 hours of cell culture in low attachment conditions (Fig. 5b, c and Supplementary Fig. S4). These findings were akin to our observations upon transient silencing of CDH1 in MCF7 cells, which resulted in increased cell viability in low attachment conditions, and increased cell viability following reseeding in adherent conditions after culture in low attachment conditions for 72 hours (Supplementary Figs. S5a-S5c). These findings are consistent with the notion that AXIN2 LOF results in resistance to anoikis, a cardinal biologic feature of ILC20,21. Moreover, a wound healing assay revealed increased cellular migration in AXIN2-KO MCF7 cells compared to NT controls (Fig. 5d), akin to our observations upon silencing of CDH1 (Supplementary Fig. S5d).
Although we did not observe differences in number, size, or morphology between AXIN2-KO and NT control MCF7 cells grown in 3D cell culture, AXIN2-KO MCF7 3D structures displayed decreased E-cadherin expression compared to NT controls (Fig. 5e and Supplementary Fig. S6). In line with these findings, we observed reduced E-cadherin cell surface expression in AXIN2-KO cells, compared to NT controls, by flow cytometry analyses (Fig. 5f), despite the comparable CDH1 mRNA expression levels in AXIN2-KO and NT control cells (Fig. 5a). Notably, CTNND1 (p120) mRNA expression was found to be comparable between AXIN2-KO and NT control MCF-7 cells, and between cells in which AXIN2 had been transiently silenced with siRNAs compared to siRNA control (Supplementary Fig. S7a). Moreover, no differences in p120 protein levels were detected in AXIN2-KO cells compared to NT control cells (Supplementary Fig. S7b).
Discussion
CDH1 LOF and the ILC phenotype represent a strong genotypic-phenotypic correlation in breast cancer. Approximately 80% of ILCs harbor bi-allelic CDH1 genetic inactivation; however, bi-allelic alterations of this gene are detected in <1% of other forms of invasive breast cancer. The basis for the lobular phenotype in the remaining cases, however, is largely unknown. In this study, we observed that a significant proportion (63%) of ILCs lacking CDH1 genetic alterations display bi-allelic inactivation of this gene via CDH1 gene promoter methylation associated with 16q loss. It has been previously reported that CDH1 promoter methylation is infrequent in ILCs22. Here we observe, however, that among CDH1 wild-type ILCs, CDH1 promoter methylation is prevalent. We identified one pleomorphic ILC displaying CDH1 promoter methylation in the absence of concurrent 16q loss; this case showed partial reduction of E-cadherin expression, along with p120 cytoplasmic and membranous expression, in contrast the ILCs displaying CDH1 promoter methylation associated with 16q loss that displayed a complete loss of E-cadherin expression. It is possible that mono-allelic inactivation of CDH1, such as observed in this case, occurs in a subset of ILCs, and results in an incomplete lobular phenotype.
Mutational signatures analysis revealed that in CDH1 wild-type ILCs, akin to CDH1-altered ILCs8, the APOBEC mutagenesis process, as defined by the APOBEC mutational signature is a common biological phenomenon. APOBEC mutagenesis has been shown to be associated with activity of the APOBEC family of cytidine deaminases23,24, hypermutation and drug resistance25. HRD analysis using WGS data and HRDetect and mutational signature analysis revealed bi-allelic BRCA2 inactivation and HR-deficiency in an ILC lacking CDH1 genetic/epigenetic inactivation. These findings suggest that HRD might be operative in a subset of ILCs and are in line with a reported association between BRCA2 germline variants and ILC26.
Reanalysis of MSK-IMPACT data revealed the presence of deleterious fusion genes and a truncating mutation affecting AXIN2, which plays essential roles in various intracellular pathways as Wnt, TGFβ and Hippo pathway that regulate different biological processes, including cell adhesion, survival and differentiation27. WGS analysis of ILCs lacking CDH1 genetic or epigenetic inactivation not only confirmed the AXIN2 pathogenic mutation, but also ruled out the presence of germline or somatic genetic alterations affecting cell adhesion genes in this case. We observed that AXIN2 depletion in biologically relevant in vitro cell models resulted in increased cellular migration, as well as increased ability to grow in non-adherent conditions, hallmark features of ILC, characterized by anchorage independent growth, anoikis resistance and a discohesive growth pattern20,21,28,29,30,31. Although resistance to anoikis is not exclusively linked to a lobular phenotype, it plays key roles in the induction of anchorage independence in ILC, as reported in mouse models in which TP53 and CDH1 inactivation resulted in primary and metastatic ILC20,32. These findings suggest that AXIN2 depletion might underpin the lobular phenotype in a subset of ILCs. The WGS analysis also led to the identification of another likely alternative mechanism for the lobular phenotype, including a deleterious fusion affecting CTNND1 (p120), a protein that directly interacts with E-cadherin. These findings support the notion that the molecular mechanisms underpinning ILC involve the disruption of the cell-cell adhesion machinery through various converging mechanisms.
Our study has important limitations, such as the limited number of cases lacking CDH1 genetic or epigenetic alterations subjected to WGS, and the fact that epigenetic alterations in other cell adhesion genes besides CDH1 were not interrogated. Further studies investigating in a more comprehensive manner the epigenome of ILCs lacking genomic or epigenomic CDH1 bi-allelic inactivation are warranted. Moreover, protein expression analysis in cases with AXIN2 alterations could not be conducted, largely due to the unavailability of material. Evaluation of AXIN2 expression in cases harboring inactivating AXIN2 genetic alterations is warranted.
Our study indicates that the lobular phenotype in ILCs lacking CDH1 genetic or epigenetic alterations might be driven by genetic alterations affecting alternative drivers pertaining to epithelial cell-cell adhesion. These findings support the notion that ILCs constitute a convergent phenotype, driven by disruption of the cell-cell adhesion complex, through different molecular mechanisms. The systematic analysis of a larger cohort of ILCs lacking genetic and epigenetic CDH1 inactivation is warranted.
Methods
Study cases and histopathologic assessment of cases
This study was approved by the Institutional Review Board (IRB) of Memorial Sloan Kettering Cancer Center (MSK). This study is in compliance with the Declaration of Helsinki. Written informed consent was obtained according to IRB protocols. We investigated the presence of inactivating CDH1 genetic alterations through the reanalysis of targeted sequencing data corresponding to 364 primary ILCs that had been previously subjected to clinical paired tumor/normal targeted sequencing using the FDA-authorized MSK-IMPACT assay10, to identify cases lacking CDH1 bi-allelic genetic alterations. Histopathologic review of ILCs lacking CDH1 bi-allelic genetic inactivation was conducted by six pathologists with expertise in breast pathology (FD, LCC, DG, HZ, FP and JSR-F) following the criteria put forward by the World Health Organization (WHO)33. Cases were graded following the Nottingham grading system33,34. Estrogen receptor (ER) and HER2 status were retrieved from the medical charts.
Immunohistochemical analysis
E-cadherin expression was assessed by IHC in all cases with available FFPE material and p120 expression was assessed by IHC in a subset of cases. IHC staining for E-cadherin (clone 36, Ventana, Tucson, AZ) and/or p120 (clone 98, Ventana) was conducted with appropriate positive and negative controls included in each slide run, with antibody solutions ready to use. Expression and localization of E-cadherin and p120 was reviewed by two pathologists (FD and FP). E-cadherin expression was categorized as negative, retained, aberrant or reduced, as per Da Silva et al.35 and Choi et al36. Expression of E-cadherin was considered aberrant if reactivity was discontinuous membranous, cytoplasmic and/or dot/like/granular. E-cadherin expression was considered decreased if membranous reactivity was reduced, compared to surrounding normal epithelium.
DNA extraction
Tumor and normal tissue blocks were retrieved from the MSK Pathology archives. Ten to 15 eight-µm-thick representative formalin fixed paraffin-embedded (FFPE) tumor and matching normal tissue sections were stained with nuclear fast red and microdissected using a sterile needle under a stereomicroscope (Olympus SZ61) to ensure a tumor content >70%, as previously described37. Genomic DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen) according to manufacturers’ instructions38.
CDH1 promoter methylation assessment by methylation-specific PCR
Tumor derived genomic DNA (50–250 ng) of samples with available FFPE material was subjected to bisulfite conversion using the EZ DNA Methylation-Lightning Kit (Zymo Research; Irvine, CA), following the manufacturers’ instructions39. Methylation-specific PCR (MSP) was conducted to assess the promoter methylation status of CDH1. The following primers were used for amplification of a fragment corresponding to the CDH1 methylated sequence: forward, 5′-TTAGGTTAGAGGGTTATCGCGT-3′ and reverse, 5′-TAACTAAAAATTCACCTACCGAC-3′; and the forward primer, 5′-TAATTTTAGGTTAGAGGGTTATTGT-3′ and reverse primer, 5′-CACAACCAATCAACAACACA-3′ were used for the amplification of a fragment corresponding to the CDH1 unmethylated sequence, as in Herman et al40. The PCR reaction was conducted using Platinum Taq High Fidelity DNA polymerase (ThermoFisher Scientific, Waltham, MA) with 40 cycles of denaturation at 94 °C for 15 seconds, annealing at 60 °C for 30 seconds and extension at 72 °C for 1 minute, following the manufacturers’ instructions.
CDH1 promoter methylation assessment by digital droplet PCR
The methylation status of two CpG islands in the CDH1 promoter was assessed by ddPCR. Optimization was done with known positive controls Universal Unmethylated DNA (Millipore, Burlington, MA) and CpG Methylated DNA (ThermoFisher, Waltham, MA). Following PicoGreen quantification, 0.2–9 ng of bisulfite-treated DNA was combined with locus-specific primers (Supplementary Table S2), FAM- and HEX-labeled probes, HaeIII, and digital PCR Supermix for probes (no dUTP). All reactions were performed on a QX200 ddPCR system (Bio-Rad catalog # 1864001) and each sample was evaluated using technical duplicates. Reactions were divided into an average of ~41 K droplets per well using the QX200 droplet generator. Emulsified PCRs were run on a 96-well thermal cycler using cycling conditions defined during the optimization step (95 °C 10’; 50 cycles of 94 °C 60’ and 54 °C 2’; 98 °C 10’).
Plates were read and analyzed using the QuantaSoft software to assess the number of droplets positive for CDH1 methylated, unmethylated, both, or neither. Samples with <300 methylated + unmethylated droplets were considered nonevaluable. Methylation Frequency (MF) = 100 * Methylated /(Methylated + Unmethylated) and those cases with an MF > 2.25 for probe 1 and/or probe 2 were considered methylated by ddPCR. Samples were considered methylated if evidence of CDH1 gene promoter methylation was observed by either of the two methods used (i.e. MSP and/or ddCPR).
CRISPR-Cas9 AXIN2 knockout
Three sgRNAs against AXIN2 were designed using CRISPick (Broad Institute, Cambridge, MA) shown in Supplementary Table S3. Presence of mutations introduced by CRISPR gene editing were assessed by Sanger sequencing with the primers indicated in Supplementary Table S4.
The sgRNAs were cloned in LentiCRISPR-v2 (Addgene #52961) and MCF7 cells were transduced with lentiviral particles produced at MSK Gene Editing & Screening Core Facility and then subjected to selection for 14 days with puromycin (2 µg/ml; ThermoFisher Scientific; Waltham, MA). NT sgRNAs were used as controls. The mutations introduced by CRISPR-Cas9 gene editing were confirmed by CRISPR-sequencing and Sanger sequencing (Supplementary Fig. S3).
qRT-PCR
Total RNA was reverse-transcribed into cDNA using SuperScript VILO Master Mix (ThermoFisher Scientific), according to the manufacturers’ instructions. Quantitative TaqMan RT-PCR for AXIN2 (Hs01063170_m1) and CDH1 (Hs01023895_m1 or Hs01023894_m1) was performed using QuantStudio3 (Applied Biosystems; ThermoFisher Scientific). Expression data were normalized to GAPDH (Hs02786624), as previously described41.
Scratch wound healing assay
Cells were seeded in 24-well plates at ~90% confluence. Twenty-four hours later a scratch was made across the center of the well with a pipette tip. Phase-contrast images were obtained immediately (0 h), and 24 h and 48 h later using an EVOS XL Core Microscope (ThermoFisher Scientific). The percentage of wound closure was defined using ImageJ, as previously described41. Experiments were performed in triplicates in at least 3 independent experiments.
Cell growth in low attachment
To assess cell viability in low attachment conditions, 250,000 MCF-7 cells were seeded in 6-well low attachment plates (Corning, NY, USA). Forty-eight hours later, cell viability was assessed using trypan-blue staining. Non-viable cells were excluded and living cells were quantified using an automatic counter (Countless II, ThermoFisher, Waltham, MA, USA). Cells were reseeded in 96 well plates and cell viability was assessed 72 hours later using the CellTiter-Blue Assay (Promega), as described41. Absorbance was detected (560 nm excitation and 590 nm emission) using a Victor X4 Multimode Plate Reader (PerkinElmer, Hopkinton, MA, USA). Experiments were performed in triplicates in at least 3 independent experiments.
Three-dimensional cell culture and immunofluorescence
Coverslip chambered slide wells (Ibidi # 80826) were coated with growth factor reduced (GFR) basement membrane matrigel matrix (100 μL; Corning # 356231) as previously described42. 3,000-5,000 MCF7 cells were resuspended in 200 µL of assay media (with 2% Matrigel) and plated on top of the Matrigel coat. Fresh assay media was replenished every 3 days and cells were cultured for 21 days. MCF7 cells grown on 3D Matrigel culture were fixed with 4% formaldehyde (ThermoFisher Scientific) and incubated with 10% normal Goat Serum (Vector Laboratories, Burlingame, CA, USA #S-1000)41.
E-cadherin expression was assessed using an antibody labeled with Alexa-488 (E-Cadherin (#3199) Cell signaling, MA, USA; dilution 1:200). DAPI (Abcam # ab228549) was used as nuclear counterstaining. Fluorescent images were acquired using a TCS SP5 inverted confocal microscope (Leica Microsystems, Buffalo Grove, IL, USA), as described previously37,41,42. No post-acquisition processing was performed, besides minor adjustments of brightness and contrast, applied equally to all images. ImageJ software was used to assess E-cadherin expression in at least five representative images per condition.
Whole-genome sequencing
Tumor and normal DNA derived from microdissected FFPE samples of three ILCs lacking CDH1 bi-allelic genetic or epigenetic inactivation by targeted sequencing and CDH1 gene promoter assessment were subjected to WGS at the MSK Integrated Genomics Operations (IGO) using validated protocols, as described43,44. WGS was conducted with a mean sequencing coverage depth of 63x and 37x from tumor and normal samples genome-wide, respectively. Sequence reads were aligned to the reference human genome GRCh37/hg19 using the Burrows-Wheeler Aligner (BWA v0.7.15).45 MuTect (v1.0)46 was used for the detection of somatic single nucleotide variants (SNVs), whereas insertion and deletions (indels) were detected using Strelka (v2.0.15),47 VarScan2 (v2.3.7),48 Platypus (v0.8.1)49 and Scalpel (v0.5.3).50 FACETS51 was used for the determination of copy number alterations and loss of heterozygosity of the wild-type allele (LOH). The cancer cell fraction (CCF) of each mutation was inferred using ABSOLUTE.52 Mutations were considered clonal when their probability of being clonal was >50%53 or if the 95% confidence interval lower bound of its CCF was >90%54,55. Single base substitution (SBS) and indel mutational signatures (COSMIC v.3.1) were inferred using and Signal56 and Sigprofiler57 using the SigProfilerExtractor Package, respectively. Structural variants (SVs) were determined using the combination of Manta,58 SvABA,59 and GRIDSS260, as previously described.43 SVs were combined based on the SV type, strand and constraining the genomic coordinates of breakpoint to 0.5 kbp. The signature.tools.lib R package56 was used for the generation of circos plots depicting SV calls, SNVs, indels and copy number alterations. HRD was assessed using HRDetect61.
Reverse transcription PCR (RT-PCR) for fusion gene validation
RNA was reverse-transcribed to cDNA using SuperScript VILO Master Mix (Life Technologies; Thermo Fisher Scientific), following manufacturers’ instructions. PCR amplification of 10 ng of cDNA was conducted using a primer sets designed based in the predicted fusion gene (forward primer: ACAATACTGGGCCACATGCT; reverse primer: ccagaggacgatgaagagga) as previously described41. PCR fragments were running in agarose electrophoresis to confirm amplification.
Comparison of repertoire of genetic alterations in ILC according to CDH1 status
We compared the TMB, FGA and frequency of oncogenic/likely oncogenic somatic genetic alterations in ILCs lacking CDH1 genetic alterations and ILCs harboring biallelic genetic inactivation of CDH1 as identified by targeted sequencing using MSK-IMPACT. To compare the frequency of somatic genetic alterations, we used the two-tailed Fisher’s exact test. We performed multiple testing correction using the Benjamini-Hochberg procedure to control for false discovery rate. TMB and FGA were compared using the Mann-Whitney U test.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
Somatic mutations, copy number alterations and structural variants identified by targeted sequencing are available on cBioPortal (https://www.cbioportal.org/study/summary?id=ilc_msk_2023).
References
Lokuhetty, D., White, V., Watanabe, R. & Cree, I. WHO Classification of Tumours Editorial Board. Breast tumors. WHO Classificat. Tumours Series, 5th ed.; Int. Agency Res. Cancer: Lyon, France 2, 88–97 (2019).
McCart Reed, A. E., Kalinowski, L., Simpson, P. T. & Lakhani, S. R. Invasive lobular carcinoma of the breast: the increasing importance of this special subtype. Breast Cancer Res. 23, 6 (2021).
Rakha, E. A. & Ellis, I. O. Lobular breast carcinoma and its variants. Semin. Diagn. Pathol. 27, 49–61 (2010).
Weigelt, B. et al. The molecular underpinning of lobular histological growth pattern: a genome-wide transcriptomic analysis of invasive lobular carcinomas and grade- and molecular subtype-matched invasive ductal carcinomas of no special type. J. Pathol. 220, 45–57 (2010).
Ciriello, G. et al. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer. Cell 163, 506–519 (2015).
Caldeira, J. R. et al. CDH1 promoter hypermethylation and E-cadherin protein expression in infiltrating breast cancer. BMC Cancer 6, 48 (2006).
Lombaerts, M. et al. E-cadherin transcriptional downregulation by promoter methylation but not mutation is related to epithelial-to-mesenchymal transition in breast cancer cell lines. Br. J. Cancer 94, 661–671 (2006).
Pareja, F. et al. The genomic landscape of metastatic histologic special types of invasive breast cancer. NPJ Breast Cancer 6, 53 (2020).
de Groot, J. S. et al. alphaE-catenin is a candidate tumor suppressor for the development of E-cadherin-expressing lobular-type breast cancer. J. Pathol. 245, 456–467 (2018).
Cheng, D. T. et al. Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology. J. Mol. Diagn. 17, 251–264 (2015).
Alsaleem, M. et al. The molecular mechanisms underlying reduced E-cadherin expression in invasive ductal carcinoma of the breast: high throughput analysis of large cohorts. Mod. Pathol. 32, 967–976 (2019).
Mahler-Araujo, B., Savage, K., Parry, S. & Reis-Filho, J. S. Reduction of E-cadherin expression is associated with non-lobular breast carcinomas of basal-like and triple negative phenotype. J. Clin. Pathol. 61, 615–620 (2008).
Lustig, B. et al. Negative feedback loop of Wnt signaling through upregulation of conductin/axin2 in colorectal and liver tumors. Mol. Cell Biol. 22, 1184–1193 (2002).
Beard, C., Purvis, R., Winship, I. M., Macrae, F. A. & Buchanan, D. D. Phenotypic confirmation of oligodontia, colorectal polyposis and cancer in a family carrying an exon 7 nonsense variant in the AXIN2 gene. Fam. Cancer 18, 311–315 (2019).
Jensen, J. M. et al. Familial colorectal cancer and tooth agenesis caused by an AXIN2 variant: how do we detect families with rare cancer predisposition syndromes? Fam. Cancer 21, 325–332 (2022).
Macklin-Mantia, S. K. et al. Case report expanding the germline AXIN2- related phenotype to include olfactory neuroblastoma and gastric adenoma. BMC Med. Genet. 21, 161 (2020).
Boguslavsky, S. et al. p120 catenin regulates lamellipodial dynamics and cell adhesion in cooperation with cortactin. Proc. Natl. Acad. Sci. USA 104, 10882–10887 (2007).
Short, S. P. et al. p120-Catenin is an obligate haploinsufficient tumor suppressor in intestinal neoplasia. J. Clin. Invest. 127, 4462–4476 (2017).
Holliday, D. L. & Speirs, V. Choosing the right cell line for breast cancer research. Breast Cancer Res. 13, 215 (2011).
Derksen, P. W. et al. Somatic inactivation of E-cadherin and p53 in mice leads to metastatic lobular mammary carcinoma through induction of anoikis resistance and angiogenesis. Cancer Cell 10, 437–449 (2006).
Schackmann, R. C. et al. Cytosolic p120-catenin regulates growth of metastatic lobular carcinoma through Rock1-mediated anoikis resistance. J. Clin. Invest. 121, 3176–3188 (2011).
Bucker, L. & Lehmann, U. CDH1 (E-cadherin) Gene Methylation in Human Breast Cancer: Critical Appraisal of a Long and Twisted Story. Cancers (Basel) 14 (2022). https://doi.org/10.3390/cancers14184377
Cortez, L. M. et al. APOBEC3A is a prominent cytidine deaminase in breast cancer. PLoS Genet. 15, e1008545 (2019).
Petljak, M. et al. Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis. Cell 176, 1282–1294 e1220 (2019).
Swanton, C., McGranahan, N., Starrett, G. J. & Harris, R. S. APOBEC Enzymes: Mutagenic Fuel for Cancer Evolution and Heterogeneity. Cancer Discov. 5, 704–712 (2015).
Yadav, S. et al. Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast. J. Clin. Oncol. 39, 3918–3926 (2021).
Piersma, B., Bank, R. A. & Boersema, M. Signaling in Fibrosis: TGF-beta, WNT, and YAP/TAZ Converge. Front. Med. (Lausanne) 2, 59 (2015).
Borst, P., Jonkers, J. & Rottenberg, S. What makes tumors multidrug resistant? Cell Cycle 6, 2782–2787 (2007).
Bossart, E. A. et al. SNAIL is induced by tamoxifen and leads to growth inhibition in invasive lobular breast carcinoma. Breast Cancer Res. Treat. 175, 327–337 (2019).
Batlle, E. et al. The transcription factor Snail is a repressor of E-cadherin gene expression in epithelial tumour cells. Nat. Cell Biol. 2, 84–89 (2000).
Gall, T. M. H. & Frampton, A. E. Gene of the month: E-cadherin (<em>CDH1</em>).J. Clin. Pathol. 66, 928 (2013).
Derksen, P. W. et al. Mammary-specific inactivation of E-cadherin and p53 impairs functional gland development and leads to pleomorphic invasive lobular carcinoma in mice. Dis. Model Mech. 4, 347–358 (2011).
WHO Classification of Tumors Editorial Board. Breast tumours. WHO Classification of Tumors. 5th Edition. 5th Edition edn, (Lyon, 2019).
Elston, C. W. & Ellis, I. O. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 41, 154–161 (2002).
Da Silva, L. et al. Aberrant expression of E-cadherin in lobular carcinomas of the breast. Am. J. Surg. Pathol. 32, 773–783 (2008).
Choi, Y. J., Pinto, M. M., Hao, L. & Riba, A. K. Interobserver variability and aberrant E-cadherin immunostaining of lobular neoplasia and infiltrating lobular carcinoma. Mod. Pathol. 21, 1224–1237 (2008).
Pareja, F. et al. Loss-of-function mutations in ATP6AP1 and ATP6AP2 in granular cell tumors. Nat. Commun. 9, 3533 (2018).
da Silva, E. M. et al. TERT promoter hotspot mutations and gene amplification in metaplastic breast cancer. NPJ Breast Cancer 7, 43 (2021).
Chiang, S. et al. IDH2 Mutations Define a Unique Subtype of Breast Cancer with Altered Nuclear Polarity. Cancer Res. 76, 7118–7129 (2016).
Herman, J. G., Graff, J. R., Myohanen, S., Nelkin, B. D. & Baylin, S. B. Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands. Proc. Natl. Acad. Sci. USA 93, 9821–9826 (1996).
Kim, S. H. et al. Recurrent WWTR1 S89W mutations and Hippo pathway deregulation in clear cell carcinomas of the cervix. J Pathol. 257, 635–649 (2022).
Geyer, F. C. et al. Recurrent hotspot mutations in HRAS Q61 and PI3K-AKT pathway genes as drivers of breast adenomyoepitheliomas. Nat. Commun. 9, 1816 (2018).
Selenica, P. et al. APOBEC mutagenesis, kataegis, chromothripsis in EGFR-mutant osimertinib-resistant lung adenocarcinomas. Ann. Oncol. 33, 1284–1295 (2022).
Riaz, N. et al. Precision Radiotherapy: Reduction in Radiation for Oropharyngeal Cancer in the 30 ROC Trial. J. Natl. Cancer Inst. 113, 742–751 (2021).
Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589–595 (2010).
Cibulskis, K. et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat. Biotechnol. 31, 213–219 (2013).
Saunders, C. T. et al. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs. Bioinformatics 28, 1811–1817 (2012).
Koboldt, D. C. et al. VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res 22, 568–576 (2012).
Rimmer, A. et al. Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications. Nat. Genet. 46, 912–918 (2014).
Narzisi, G. et al. Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nat. Methods 11, 1033–1036 (2014).
Shen, R. & Seshan, V. E. FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing. Nucleic Acids Res. 44, e131 (2016).
Carter, S. L. et al. Absolute quantification of somatic DNA alterations in human cancer. Nat. Biotechnol. 30, 413–421 (2012).
Landau, D. A. et al. Evolution and impact of subclonal mutations in chronic lymphocytic leukemia. Cell 152, 714–726 (2013).
Martelotto, L. G. et al. Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples. Nat. Med. 23, 376–385 (2017).
Ng, C. K. Y. et al. The Landscape of Somatic Genetic Alterations in Metaplastic Breast Carcinomas. Clin. Cancer Res. 23, 3859–3870 (2017).
Degasperi, A. et al. A practical framework and online tool for mutational signature analyses show inter-tissue variation and driver dependencies. Nat. Cancer 1, 249–263 (2020).
Islam, S. M. A. et al. Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor. Cell Genom. 2, None (2022).
Chen, X. et al. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics 32, 1220–1222 (2016).
Wala, J. A. et al. SvABA: genome-wide detection of structural variants and indels by local assembly. Genome Res. 28, 581–591 (2018).
Cameron, D. L. et al. GRIDSS2: comprehensive characterisation of somatic structural variation using single breakend variants and structural variant phasing. Genome Biol. 22, 202 (2021).
Davies, H. et al. HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures. Nat. Med. 23, 517–525 (2017).
Acknowledgements
This work was supported in part by the NIH/NCI Cancer Center Support Grant P30 CA008748. FP is funded in part by an NIH/NCI P50 CA247749 01 grant and by a Starr Cancer Consortium grant. JRSF was partially funded by an NIH/NCI P50 CA247749 01 grant, a Breast Cancer Research Foundation grant and a Susan G Komen Leadership grant. BW is partially funded by Cycle for Survival and Breast Cancer Research Foundation grants. Research reported in this publication was partly funded by a Cancer Center Support Grant of the National Institutes of Health (NIH)/ National Cancer Institute (grant No P30CA008748). The funders played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript.
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FP and JSR-F developed the study concept and design; HD, AMG, FD, DNB, PS, SJ, ADCP, AM, EMdS, TB, LG, LCC, SIB, HG, CV, SO, AG, GK, DR, DG, HYW, HZ, EB, BW, FP and JSRF acquired, analyzed and interpreted the data. AMG, DNB, PS, ADCP conducted the statistical and bioinformatic analysis. HD, FD, TB and SIB conducted the functional analyses. HD, FD and FP drafted the manuscript. HD, AMG, FD, DNB, PS, SJ, ADCP, AM, EMdS, TB, LG, LCC, SIB, HG, CV, SO, AG, GK, DR, DG, HYW, HZ, EB, BW, FP and JSRF reviewed the manuscript for intellectual content and approved the final version. HD, AMG and FD contributed equally. FP and JSRF jointly supervised the work.
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J.S.R.-F. reports receiving personal/consultancy fees from Goldman Sachs, Bain Capital, REPARE Therapeutics, Saga Diagnostics, MultiplexDX and Paige.AI, membership of the scientific advisory boards of VolitionRx, REPARE Therapeutics and Paige.AI, membership of the Board of Directors of Grupo Oncoclinicas, and ad hoc membership of the scientific advisory boards of AstraZeneca, Merck, Daiichi Sankyo, Roche Tissue Diagnostics and Personalis, outside the scope of this study. B.W. reports research funding from Repare Therapeutics, outside the scope of the submitted work. F.P. reports consultancy fees from AstraZeneca and membership of the scientific advisory board of MultiplexDx and the diagnostic advisory board of AstraZeneca. All other authors declare no financial or non-financial competing interests.
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Dopeso, H., Gazzo, A.M., Derakhshan, F. et al. Genomic and epigenomic basis of breast invasive lobular carcinomas lacking CDH1 genetic alterations. npj Precis. Onc. 8, 33 (2024). https://doi.org/10.1038/s41698-024-00508-x
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DOI: https://doi.org/10.1038/s41698-024-00508-x