LRRC15(+) myofibroblasts dictate the stromal setpoint to suppress tumour immunity
Open accessAbstract
Recent single-cell studies of cancer in both mice and humans have identified the emergence of a myofibroblast population specifically marked by the highly restricted leucine-rich-repeat-containing protein 15 (LRRC15) 1–3 . However, the molecular signals that underlie the development of LRRC15 + cancer-associated fibroblasts (CAFs) and their direct impact on anti-tumour immunity are uncharacterized. Here in mouse models of pancreatic cancer, we provide in vivo genetic evidence that TGFβ receptor type 2 signalling in healthy dermatopontin + universal fibroblasts is essential for the development of cancer-associated LRRC15 + myofibroblasts. This axis also predominantly drives fibroblast lineage diversity in human cancers. Using newly developed Lrrc15– diphtheria toxin receptor knock-in mice to selectively deplete LRRC15 + CAFs, we show that depletion of this population markedly reduces the total tumour fibroblast content. Moreover, the CAF composition is recalibrated towards universal fibroblasts. This relieves direct suppression of tumour-infiltrating CD8 + T cells to enhance their effector function and augments tumour regression in response to anti-PDL1 immune checkpoint blockade. Collectively, these findings demonstrate that TGFβ-dependent LRRC15 + CAFs dictate the tumour-fibroblast setpoint to promote tumour growth. These cells also directly suppress CD8 + T cell function and limit responsiveness to checkpoint blockade. Development of treatments that restore the homeostatic fibroblast setpoint by reducing the population of pro-disease LRRC15 + myofibroblasts may improve patient survival and response to immunotherapy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CD105 identifies two functionally distinct and non-interconvertible CAF populations: tumor-permissive CD105+ CAFs and tumor-suppressive CD105− CAFs.
“single-cell mass cytometric analysis has identified that the cell surface marker CD105 can be used to identify two functionally distinct and non-interconvertible populations of CAFs, namely, tumor permissive CD105+ CAFs, and tumor suppressive CD105− CAFs152”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [152]
Mass cytometry comparing millions of cells from 19 murine PDAC tumors against 40+ fibroblast/mesenchymal markers was integral to discovering CD105 as a key indicator of tumor-promoting/suppressive fibroblast behavior.
“The use of mass cytometry comparing millions of cells isolated from 19 murine PDAC tumors against library of 40+ known fibroblast and mesenchymal cell markers was integral to the discovery of CD105 as a key indicator of tumor promoting/tumor suppressive fibroblast behavior152.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [152]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870 · see citing works
TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells
Mariathasan, S., Turley, S. J., Nickles, D., Castiglioni, A., Yuen, K., Wang, Y., Kadel III, E. E., Koeppen, H., Astarita, J. L., Cubas, R., et al. (2018) · Nature · doi:10.1038/nature25501 · Cited by 5,400 · see citing works
Self-citationMolecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652 · see citing works
A framework for advancing our understanding of cancer-associated fibroblasts
Sahai, E., Astsaturov, I., Cukierman, E., DeNardo, D. G., Egeblad, M., Evans, R. M., Fearon, D., Greten, F. R., Hingorani, S. R., Hunter, T., et al. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0238-1 · Cited by 3,863 · see citing works
Özdemir, B. C., Pentcheva-Hoang, T., Carstens, J. L., Zheng, X., Wu, C.-C., Simpson, T. R., Laklai, H., Sugimoto, H., Kahlert, C., Novitskiy, S. V., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.005 · Cited by 2,681 · see citing works
Feig, C., Jones, J. O., Kraman, M., Wells, R. J. B., Deonarine, A., Chan, D. S., Connell, C. M., Roberts, E. W., Zhao, Q., Caballero, O. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320318110 · Cited by 2,100 · see citing works
Biffi, G., Oni, T. E., Spielman, B., Hao, Y., Elyada, E., Park, Y., Preall, J., & Tuveson, D. A. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0710 · Cited by 1,360 · see citing works
Diversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265 · see citing works
Suppression of Antitumor Immunity by Stromal Cells Expressing Fibroblast Activation Protein–α
Kraman, M., Bambrough, P. J., Arnold, J. N., Roberts, E. W., Magiera, L., Jones, J. O., Gopinathan, A., Tuveson, D. A., & Fearon, D. T. (2010) · Science · doi:10.1126/science.1195300 · Cited by 1,134 · see citing works
Insertion of DNA sequences into the human chromosomal β-globin locus by homologous recombination
Smithies, O., Gregg, R. G., Boggs, S. S., Koralewski, M. A., & Kucherlapati, R. (1985) · Nature · doi:10.1038/317230a0 · Cited by 977 · see citing works
TGFβ biology in cancer progression and immunotherapy
Derynck, R., Turley, S. J., & Akhurst, R. J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0403-1 · Cited by 944 · see citing works
Self-citationCross-tissue organization of the fibroblast lineage
Buechler, M., Pradhan, R., Krishnamurty, A. T., Cox, C. B., Calviello, A. K., Wang, A. W., Yang, Y., Tam, L., Caothien, R., Roose-Girma, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03549-5 · Cited by 941 · see citing works
Self-citationSingle-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer.
Kieffer, Y., Hocine, H. R., Gentric, G., Pelon, F., Bernard, C., Bourachot, B., Lameiras, S., Albergante, L., Bonneau, C., Guyard, A., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1384 · Cited by 910 · see citing works
Dominguez, C. X., Müller, S., Keerthivasan, S., Koeppen, H., Hung, J., Gierke, S., Breart, B., Foreman, O., Bainbridge, T. W., Castiglioni, A., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0644 · Cited by 857 · see citing works
Self-citationBartoschek, M., Oskolkov, N., Bocci, M., Lövrot, J., Larsson, C., Sommarin, M., Madsen, C. D., Lindgren, D., Pekar, G., Karlsson, G., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07582-3 · Cited by 826 · see citing works
Chakravarthy, A., Khan, L., Bensler, N. P., Bose, P., & De Carvalho, D. D. (2018) · Nature Communications · doi:10.1038/s41467-018-06654-8 · Cited by 656 · see citing works
High frequency targeting of genes to specific sites in the mammalian genome
THOMAS, K. (1986) · Cell · doi:10.1016/0092-8674(86)90463-0 · Cited by 635 · see citing works
A potential animal model for Lesch–Nyhan syndrome through introduction of HPRT mutations into mice
Kuehn, M. R., Bradley, A., Robertson, E. J., & Evans, M. J. (1987) · Nature · doi:10.1038/326295a0 · Cited by 500 · see citing works
CD39 Expression Identifies Terminally Exhausted CD8+ T Cells
Gupta, P., Godec, J., Wolski, D., Adland, E., Yates, K. B., Pauken, K. E., Cosgrove, C., Ledderose, C., JUNGER, W. G., Robson, S. C., et al. (2015) · PLoS Pathogens · doi:10.1371/journal.ppat.1005177 · Cited by 384 · see citing works
B cell homeostasis and follicle confines are governed by fibroblastic reticular cells
Cremasco, V., Woodruff, M. C., Onder, L., Cupovic, J., Nieves-Bonilla, J. M., Schildberg, F. A., Chang, J. E., Cremasco, F., Harvey, C. J., Wucherpfennig, K. W., et al. (2014) · Nature Immunology · doi:10.1038/ni.2965 · Cited by 278 · see citing works
Self-citationExperimental microdissection enables functional harmonisation of pancreatic cancer subtypes
Maurer, C., Holmstrom, S. R., He, J., Laise, P., Su, T., Ahmed, A., Hibshoosh, H., Chabot, J. A., Oberstein, P. E., Sepulveda, A. R., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-317706 · Cited by 216 · see citing works
LRRC15 Is a Novel Mesenchymal Protein and Stromal Target for Antibody–Drug Conjugates
Purcell, J. W., Tanlimco, S. G., Hickson, J. A., Fox, M., Sho, M., Durkin, L. M., Uziel, T., Powers, R., Foster, K., McGonigal, T. P., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-0327 · Cited by 207 · see citing works
A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq
Li, B., Qing, T., Zhu, J., Wen, Z., Yu, Y., Fukumura, R., Zheng, Y., Gondo, Y., & Shi, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-04520-z · Cited by 184 · see citing works
Nuclei multiplexing with barcoded antibodies for single-nucleus genomics
Gaublomme, J. T., Li, B., Aubin, C., Knecht, A., Yang, Y., Drokhlyansky, E., Wittenberghe, N. V., Waldman, J., Dionne, D. A., Nguyễn, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10756-2 · Cited by 181 · see citing works
Self-citationDiscovering dominant tumor immune archetypes in a pan-cancer census
Combes, A. J., Samad, B., Tsui, J. L., Chew, N. W., Yan, P., Reeder, G. C., Kushnoor, D., Shen, A. S., Davidson, B. R., Barczak, A. J., et al. (2021) · Cell · doi:10.1016/j.cell.2021.12.004 · Cited by 163 · see citing works
Gertsenstein, M., Nutter, L. M. J., Reid, T., Pereira, M., Stanford, W. L., Rossant, J., & Nagy, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011260 · Cited by 108 · see citing works
Gremlin 1+ fibroblastic niche maintains dendritic cell homeostasis in lymphoid tissues
Kapoor, V. N., Müller, S., Keerthivasan, S., Brown, M. K., Chalouni, C. M., Storm, E. E., Castiglioni, A., Lane, R. S., Nitschké, M., Dominguez, C. X., et al. (2021) · Nature Immunology · doi:10.1038/s41590-021-00920-6 · Cited by 88 · see citing works
Self-citationPerturbation-response genes reveal signaling footprints in cancer gene expressionPreprint
Schubert, M., Klinger, B., Klünemann, M., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/065672 · Cited by 75 · see citing works
Cancer-Associated Fibroblasts and T Cells: From Mechanisms to Outcomes
Baker, A. T., Abuwarwar, M. H., Poly, L., Wilkins, S., & Fletcher, A. L. (2021) · The Journal of Immunology · doi:10.4049/jimmunol.2001203 · Cited by 68 · see citing works
Kras mutant genetically engineered mouse models of human cancers are genomically heterogeneous
Chung, W., Daemen, A., Cheng, J. H., Long, J. E., Cooper, J. E., Wang, B.-E., Tran, C., Singh, M., Gnad, F., Modrusan, Z. D., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708391114 · Cited by 61 · see citing works
Self-citationOrthotopic Injection of Pancreatic Cancer CellsPreprint
Aiello, N. M., Rhim, A. D., & Stanger, B. Z. (2016) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot078360 · Cited by 33 · see citing works
Nuclei multiplexing with barcoded antibodies for single-nucleus genomicsPreprint
Gaublomme, J. T., Li, B., Aubin, C., Knecht, A., Drokhlyansky, E., Wittenberghe, N. V., Waldman, J., Dionne, D. A., Nguyễn, L., Jager, P. L. D., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/476036 · Cited by 25 · see citing works
Newman, R. J., Roose‐Girma, M., & Warming, S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv600 · Cited by 18 · see citing works
Self-citationGene Targeting in Embryonic Stem Cells
Hughes, E. D., & Saunders, T. L. (2011) · Springer protocols handbooks/Springer protocols · doi:10.1007/978-3-662-45763-4_14 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [28]Hughes, E. D. & Saunders, T. L. in Advanced Protocols for Animal Transgenesis: An ISTT Manual (eds Pease, S. & Saunders, T. L.) 291–325 (Springer, 2011).
Cited by
Sorted by citations
Pancreatic cancer: Advances and challenges
Halbrook, C. J., Lyssiotis, C. A., Pasca di Magliano, M., & Maitra, A. (2023) · Cell · doi:10.1016/j.cell.2023.02.014 · Cited by 1,321 · see citing works
Cancer-associated fibroblasts: from basic science to anticancer therapy
Yang, D., Liu, J., Qian, H., & Zhuang, Q. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-023-01013-0 · Cited by 572 · see citing works
Epithelial and stromal co-evolution and complicity in pancreatic cancer
Hingorani, S. R. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00530-w · Cited by 108 · see citing works
Fan, J., Lu, F., Qin, T., Peng, W., Zhuang, X., Li, Y., Hou, X., Fang, Z., Yang, Y., Guo, E., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01570-0 · Cited by 93 · see citing works
Self-citationCurrent and emerging concepts for systemic treatment of metastatic colorectal cancer
Steup, C., Kennel, K. B., Neurath, M. F., Fichtner-Feigl, S., & Greten, F. R. (2025) · Gut · doi:10.1136/gutjnl-2025-335412 · Cited by 39 · see citing works
- Authors
- Krishnamurty, A. T., Shyer, J. A., Thai, M., Gandham, V., Buechler, M. B., Yang, Y. A., Pradhan, R. N., Wang, A. W., Sanchez, P. L., Qu, Y., Breart, B., Chalouni, C., Dunlap, D., Ziai, J., Elstrott, J., Zacharias, N., Mao, W., Rowntree, R. K., Sadowsky, J., Lewis, G. D., Pillow, T. H., Nabet, B. Y., Banchereau, R., Tam, L., Caothien, R., Bacarro, N., Roose-Girma, M., Modrusan, Z., Mariathasan, S., Müller, S., & Turley, S. J.
- Affiliations
- Genentech (US)
- Corresponding author
- Müller, Sören
- Turley, Shannon J.
- ORCID
- Krishnamurty, Akshay T.
- Shyer, Justin A.
- Gandham, Vineela
- Buechler, Matthew B.
- Yang, Yeqing Angela
- Pradhan, Rachana N.
- Qu, Yan
- Dunlap, Debra
- Ziai, James
- Elstrott, Justin
- Zacharias, Neelie
- Mao, Weiguang
- Rowntree, Rebecca K.
- Sadowsky, Jack
- Pillow, Thomas H.
- Nabet, Barzin Y.
- Banchereau, Romain
- Tam, Lucinda
- Caothien, Roger
- Bacarro, Natasha
- Modrusan, Zora
- Mariathasan, Sanjeev
- Müller, Sören
- Turley, Shannon J.
- Venue
- Nature
- Published
- 2022-09-28
- Volume
- 611
- Issue
- 7934
- Pages
- 148-154
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9630141
- OpenAlex
- W4297497831
- Cited by
- 436
- References
- 35
- Citations by year
- 2026: 144 · 2025: 107 · 2024: 107 · 2023: 71 · 2022: 6 · 2021: 1
- FWCI
- 30.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Amgen
- Bristol-Myers Squibb
- Pfizer
- Genentech
- University of California, San Francisco
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Keywords
- LRRC15, cancer-associated fibroblasts, myofibroblasts, pancreatic cancer, tumor microenvironment, CD8+ T cell suppression, dermatopontin, fibroblast depletion, tumor immunosuppression
- MeSH terms
- Cancer-Associated Fibroblasts, Animals, Humans, Membrane Proteins, Pancreatic Neoplasms, Transforming Growth Factor beta, Stromal Cells, Receptors, Transforming Growth Factor beta, CD8-Positive T-Lymphocytes, Mice, Myofibroblasts, Tumor Microenvironment, B7-H1 Antigen
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review