Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

αSMA+ fibroblasts suppress Lgr5+ cancer stem cells and restrain colorectal cancer progression

Abstract

The development and progression of solid tumors is dependent on cancer cell autonomous drivers and the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) in the TME possess both tumor-promoting and tumor-restraining functions. In the current study, we interrogated the role of αSMA+ CAFs in a genetic mouse model of metastatic colorectal cancer (CRC). Selective depletion of αSMA+ CAFs resulted in increased tumor invasiveness, lymph node metastasis, and reduced overall survival. Depletion of αSMA+ CAFs reduced BMP4 and increased TGFβ1 secretion from stromal cells, and was associated with increased Lgr5+ cancer stem-like cells (CSCs) and the generation of an immunosuppressive TME with increased frequency of Foxp3+ regulatory T cells and suppression of CD8+ T cells. This study demonstrates that αSMA+ CAFs in CRC exert tumor-restraining functions via BMP4/TGFβ1 paracrine signaling that serves to suppress Lgr5+ CSCs and promote anti-tumor immunity, ultimately limiting CRC progression.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Depletion of αSMA+ CAFs leads to increased tumor invasion and decreased survival in CRC model.
Fig. 2: Loss of αSMA+ CAFs increases rates of local invasion.
Fig. 3: αSMA+ CAF-depleted CRC tumors display an enhanced CSC phenotype.
Fig. 4: Depletion of αSMA+ myofibroblasts induces an immunosuppressive phenotype.

Similar content being viewed by others

Data availability

The source data for all the figures in the manuscript can be downloaded at: https://doi.org/10.17632/w8kmnbpyfw.1. Raw and processed RNA-sequencing data are deposited in the Gene Expression Omnibus database (accession number GSE164300).

References

  1. Kalluri R. The biology and function of fibroblasts in cancer. Nat Rev Cancer. 2016;16:582–98.

    Article  CAS  PubMed  Google Scholar 

  2. LeBleu VS, Kalluri R. A peek into cancer-associated fibroblasts: origins, functions and translational impact. Dis Models Mech. 2018;11:dmm029447.

  3. LeBleu VS, Neilson EG. Origin and functional heterogeneity of fibroblasts. FASEB J. 2020;34:3519–36.

    Article  CAS  PubMed  Google Scholar 

  4. Nurmik M, Ullmann P, Rodriguez F, Haan S, Letellier E. In search of definitions: cancer-associated fibroblasts and their markers. Int J Cancer. 2020;146:895–905.

    Article  CAS  PubMed  Google Scholar 

  5. Otranto M, Sarrazy V, Bonte F, Hinz B, Gabbiani G, Desmouliere A. The role of the myofibroblast in tumor stroma remodeling. Cell Adh Migr. 2012;6:203–19.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Gascard P, Tlsty TD. Carcinoma-associated fibroblasts: orchestrating the composition of malignancy. Genes Dev. 2016;30:1002–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Özdemir BC, Pentcheva-Hoang T, Carstens JL, Zheng X, Wu CC, Simpson TR, et al. Depletion of carcinoma-associated fibroblasts and fibrosis induces immunosuppression and accelerates pancreas cancer with reduced survival. Cancer Cell. 2014;25:719–34.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Becker LM, O’Connell JT, Vo AP, Cain MP, Tampe D, Bizarro L, et al. Epigenetic reprogramming of cancer-associated fibroblasts deregulates glucose metabolism and facilitates progression of breast cancer. Cell Rep. 2020;31:107701.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, et al. A framework for advancing our understanding of cancer-associated fibroblasts. Nat Rev Cancer. 2020;20:174–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Center for Disease Control and Prevention. Colorectal cancer statistics. Center for Disease Control and Prevention; 2019.

  11. Fearon ER, Vogelstein B. A genetic model for colorectal tumorigenesis. Cell. 1990;61:759–67.

    Article  CAS  PubMed  Google Scholar 

  12. De Sousa EMF, Wang X, Jansen M, Fessler E, Trinh A, de Rooij LP, et al. Poor-prognosis colon cancer is defined by a molecularly distinct subtype and develops from serrated precursor lesions. Nat Med. 2013;19:614–8.

    Article  Google Scholar 

  13. Marisa L, de Reyniès A, Duval A, Selves J, Gaub MP, Vescovo L, et al. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value. PLoS Med. 2013;10:e1001453.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sadanandam A, Lyssiotis CA, Homicsko K, Collisson EA, Gibb WJ, Wullschleger S, et al. A colorectal cancer classification system that associates cellular phenotype and responses to therapy. Nat Med. 2013;19:619–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Sadanandam A, Wang X, de Sousa EMF, Gray JW, Vermeulen L, Hanahan D, et al. Reconciliation of classification systems defining molecular subtypes of colorectal cancer: interrelationships and clinical implications. Cell Cycle. 2014;13:353–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Woolston A, Khan K, Spain G, Barber LJ, Griffiths B, Gonzalez-Exposito R, et al. Genomic and transcriptomic determinants of therapy resistance and immune landscape evolution during anti-EGFR treatment in colorectal cancer. Cancer Cell. 2019;36:35–50. e39

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Guinney J, Dienstmann R, Wang X, de Reyniès A, Schlicker A, Soneson C, et al. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015;21:1350–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Calon A, Lonardo E, Berenguer-Llergo A, Espinet E, Hernando-Momblona X, Iglesias M, et al. Stromal gene expression defines poor-prognosis subtypes in colorectal cancer. Nat Genet. 2015;47:320–9.

    Article  CAS  PubMed  Google Scholar 

  19. Isella C, Terrasi A, Bellomo SE, Petti C, Galatola G, Muratore A, et al. Stromal contribution to the colorectal cancer transcriptome. Nat Genet. 2015;47:312–9.

    Article  CAS  PubMed  Google Scholar 

  20. Roulis M, Kaklamanos A, Schernthanner M, Bielecki P, Zhao J, Kaffe E, et al. Paracrine orchestration of intestinal tumorigenesis by a mesenchymal niche. Nature 2020;580:524–9.

  21. LeBleu VS, Taduri G, O’Connell J, Teng Y, Cooke VG, Woda C, et al. Origin and function of myofibroblasts in kidney fibrosis. Nat Med. 2013;19:1047–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Boutin AT, Liao WT, Wang M, Hwang SS, Karpinets TV, Cheung H, et al. Oncogenic Kras drives invasion and maintains metastases in colorectal cancer. Genes Dev. 2017;31:370–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. LeBleu VS, Teng Y, O’Connell JT, Charytan D, Muller GA, Muller CA, et al. Identification of human epididymis protein-4 as a fibroblast-derived mediator of fibrosis. Nat Med. 2013;19:227–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 2013;29:15–21.

  25. Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnetjournal. 2011;17:10–12.

    Google Scholar 

  26. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Haggitt RC, Glotzbach RE, Soffer EE, Wruble LD. Prognostic factors in colorectal carcinomas arising in adenomas: implications for lesions removed by endoscopic polypectomy. Gastroenterology. 1985;89:328–36.

    Article  CAS  PubMed  Google Scholar 

  28. Ma H, Cai H, Zhang Y, Wu J, Liu X, Zuo J, et al. Membrane palmitoylated protein 3 promotes hepatocellular carcinoma cell migration and invasion via up-regulating matrix metalloproteinase 1. Cancer Lett. 2014;344:74–81.

    Article  CAS  PubMed  Google Scholar 

  29. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci USA. 2003;100:3983–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Dallas NA, Xia L, Fan F, Gray MJ, Gaur P, van Buren G 2nd, et al. Chemoresistant colorectal cancer cells, the cancer stem cell phenotype, and increased sensitivity to insulin-like growth factor-I receptor inhibition. Cancer Res. 2009;69:1951–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, et al. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature. 2006;444:756–60.

    Article  CAS  PubMed  Google Scholar 

  32. Nakanishi Y, Seno H, Fukuoka A, Ueo T, Yamaga Y, Maruno T, et al. Dclk1 distinguishes between tumor and normal stem cells in the intestine. Nat Genet. 2013;45:98–103.

    Article  CAS  PubMed  Google Scholar 

  33. He XC, Zhang J, Tong WG, Tawfik O, Ross J, Scoville DH, et al. BMP signaling inhibits intestinal stem cell self-renewal through suppression of Wnt-beta-catenin signaling. Nat Genet. 2004;36:1117–21.

    Article  CAS  PubMed  Google Scholar 

  34. Qi Z, Li Y, Zhao B, Xu C, Liu Y, Li H, et al. BMP restricts stemness of intestinal Lgr5(+) stem cells by directly suppressing their signature genes. Nat Commun. 2017;8:13824.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Veschi V, Mangiapane LR, Nicotra A, Di Franco S, Scavo E, Apuzzo T, et al. Targeting chemoresistant colorectal cancer via systemic administration of a BMP7 variant. Oncogene. 2020;39:987–1003.

    Article  CAS  PubMed  Google Scholar 

  36. Lombardo Y, Scopelliti A, Cammareri P, Todaro M, Iovino F, Ricci-Vitiani L, et al. Bone morphogenetic protein 4 induces differentiation of colorectal cancer stem cells and increases their response to chemotherapy in mice. Gastroenterology. 2011;140:297–309.

    Article  CAS  PubMed  Google Scholar 

  37. Wahl SM. Transforming growth factor beta: the good, the bad, and the ugly. J Exp Med. 1994;180:1587–90.

    Article  CAS  PubMed  Google Scholar 

  38. Wan YY, Flavell RA. ‘Yin-Yang’ functions of transforming growth factor-beta and T regulatory cells in immune regulation. Immunol Rev. 2007;220:199–213.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Liu L, Liu L, Yao HH, Zhu ZQ, Ning ZL, Huang Q. Stromal myofibroblasts are associated with poor prognosis in solid cancers: a meta-analysis of published studies. PLoS ONE. 2016;11:e0159947.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Fiori ME, Di Franco S, Villanova L, Bianca P, Stassi G, De Maria R. Cancer-associated fibroblasts as abettors of tumor progression at the crossroads of EMT and therapy resistance. Mol Cancer. 2019;18:70.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kobayashi H, Gieniec KA, Wright JA, Wang T, Asai N, Mizutani Y, et al. The balance of stromal BMP signaling mediated by GREM1 and ISLR drives colorectal carcinogenesis. Gastroenterology. 2021;160:1224–39. e1230.

    Article  PubMed  Google Scholar 

  42. Wu X, Cai J, Zuo Z, Li J. Collagen facilitates the colorectal cancer stemness and metastasis through an integrin/PI3K/AKT/Snail signaling pathway. Biomed Pharmacother. 2019;114:108708.

    Article  CAS  PubMed  Google Scholar 

  43. Vellinga TT, den Uil S, Rinkes IH, Marvin D, Ponsioen B, Alvarez-Varela A, et al. Collagen-rich stroma in aggressive colon tumors induces mesenchymal gene expression and tumor cell invasion. Oncogene. 2016;35:5263–71.

    Article  CAS  PubMed  Google Scholar 

  44. Blockhuys S, Agarwal NR, Hildesjo C, Jarlsfelt I, Wittung-Stafshede P, Sun XF. Second harmonic generation for collagen I characterization in rectal cancer patients with and without preoperative radiotherapy. J Biomed Opt. 2017;22:1–6.

    Article  PubMed  Google Scholar 

  45. Zhang Z, Fang C, Wang Y, Zhang J, Yu J, Zhang Y, et al. COL1A1: a potential therapeutic target for colorectal cancer expressing wild-type or mutant KRAS. Int J Oncol. 2018;53:1869–80.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Damaghi M, Mori H, Byrne S, Xu L, Chen T, Johnson J, et al. Collagen production and niche engineering: a novel strategy for cancer cells to survive acidosis in DCIS and evolve. Evol Appl. 2020;13:2689–703.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Zhang Y, Que J. BMP signaling in development, stem cells, and diseases of the gastrointestinal tract. Annu Rev Physiol. 2020;82:251–73.

    Article  CAS  PubMed  Google Scholar 

  48. Powell DW, Pinchuk IV, Saada JI, Chen X, Mifflin RC. Mesenchymal cells of the intestinal lamina propria. Annu Rev Physiol. 2011;73:213–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Stzepourginski I, Nigro G, Jacob JM, Dulauroy S, Sansonetti PJ, Eberl G, et al. CD34+ mesenchymal cells are a major component of the intestinal stem cells niche at homeostasis and after injury. Proc Natl Acad Sci USA. 2017;114:E506–e513.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Calon A, Espinet E, Palomo-Ponce S, Tauriello DV, Iglesias M, Céspedes MV, et al. Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation. Cancer Cell. 2012;22:571–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Fu S, Zhang N, Yopp AC, Chen D, Mao M, Chen D, et al. TGF-beta induces Foxp3 + T-regulatory cells from CD4 + CD25 - precursors. Am J Transplant. 2004;4:1614–27.

    Article  CAS  PubMed  Google Scholar 

  52. Moo-Young TA, Larson JW, Belt BA, Tan MC, Hawkins WG, Eberlein TJ, et al. Tumor-derived TGF-beta mediates conversion of CD4+Foxp3+ regulatory T cells in a murine model of pancreas cancer. J Immunother. 2009;32:12–21.

    Article  CAS  PubMed  Google Scholar 

  53. Karagiannis GS, Poutahidis T, Erdman SE, Kirsch R, Riddell RH, Diamandis EP. Cancer-associated fibroblasts drive the progression of metastasis through both paracrine and mechanical pressure on cancer tissue. Mol Cancer Res. 2012;10:1403–18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This study was supported by research funds provided by the MD Anderson Cancer Center. KV-A is supported by Ruth L. Kirschstein National Research Service Award 5T32CA186892. We thank Dr. Ronald DePinho for providing the iKAP mouse model and for insightful comments on the manuscript. We thank Dr. Adam Boutin for his generous help with the project, Dr. Krishnan Mahadevan for advice on proliferative index determination, and Patience Kelly for assistance with slide scanning and staining. The Advanced Technology Genomics Core is supported by the core grant CA016672(ATCG).

Author information

Authors and Affiliations

Authors

Contributions

CK, KV-A, KMM, XZ, and MLK performed experiments and analyzed data. HS assisted with mouse experiments. BL analyzed the global transcriptomic data. KV-A, CK, KMM, and VSL prepared figures. KV-A, CK, KMM, VSL, and RK wrote and edited the manuscript. RK conceptualized and supervised the study.

Corresponding author

Correspondence to Raghu Kalluri.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

McAndrews, K.M., Vázquez-Arreguín, K., Kwak, C. et al. αSMA+ fibroblasts suppress Lgr5+ cancer stem cells and restrain colorectal cancer progression. Oncogene 40, 4440–4452 (2021). https://doi.org/10.1038/s41388-021-01866-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41388-021-01866-7

This article is cited by

Search

Quick links