The DOI matches its Crossref record; 65 of the 69 references it cites were found in a registry or an index.
Oncogenic collagen I homotrimers from cancer cells bind to α3β1 integrin and impact tumor microbiome and immunity to promote pancreatic cancer
Open accessAbstract
In contrast to normal type I collagen (Col1) heterotrimer (α1/α2/α1) produced by fibroblasts, pancreatic cancer cells specifically produce unique Col1 homotrimer (α1/α1/α1). Col1 homotrimer results from epigenetic suppression of the Col1a2 gene and promotes oncogenic signaling, cancer cell proliferation, tumor organoid formation, and growth via α3β1 integrin on cancer cells, associated with tumor microbiome enriched in anaerobic Bacteroidales in hypoxic and immunosuppressive tumors. Deletion of Col1 homotrimers increases overall survival of mice with pancreatic ductal adenocarcinoma (PDAC), associated with reprograming of the tumor microbiome with increased microaerophilic Campylobacterales, which can be reversed with broad-spectrum antibiotics. Deletion of Col1 homotrimers enhances T cell infiltration and enables efficacy of anti-PD-1 immunotherapy. This study identifies the functional impact of Col1 homotrimers on tumor microbiome and tumor immunity, implicating Col1 homotrimer-α3β1 integrin signaling axis as a cancer-specific therapeutic target.
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“Targeted deletion of type I collagen from SMA-expressing fibroblasts increases immune suppressive myeloid infiltration, accelerating tumor progression166”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [166]
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STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812
Self-citationCommensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888
Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota
Vétizou, M., Pitt, J. M., Daillère, R., Lepage, P., Waldschmitt, N., Flament, C., Rusakiewicz, S., Routy, B., Roberti, M. P., Duong, C. P. M., et al. (2015) · Science · doi:10.1126/science.aad1329 · Cited by 3,488
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- Lee, 2012, Generation of primary tumors with Flp recombinase in FRT-flanked p53 mice, Dis. Models Mech., 5, 397
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Xu, M., Yu, J., Chen, Y., Ge, S., Ye, L., Wang, Y., 周一雄, & Jia, R. (2026) · MedComm · doi:10.1002/mco2.71052
Self-citationMUC16 drives macrophage-mediated immunosuppression in pancreatic cancer
Rajesh, C., Sagar, S., Huang, Y., Mundry, C. S., Chaitankar, V., Shah, O. S., Sumeet, C., Caffrey, T., O’Connell, K. A., Swanson, B., et al. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218927
Metadata
- Authors
- Chen, Y., Yang, S., Tavormina, J., Tampe, D., Zeisberg, M., Wang, H., Mahadevan, K. K., Wu, C.-J., Sugimoto, H., Chang, C.-C., Jenq, R. R., McAndrews, K. M., & Kalluri, R.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Universitätsmedizin Göttingen (DE)
- Corresponding author
- Kalluri, Raghu
- ORCID
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 40
- Issue
- 8
- Pages
- 818-834.e9
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC9831277
- OpenAlex
- W4286267917
- Cited by
- 289
- References
- 69
- Citations by year
- 2026: 48 · 2025: 82 · 2024: 100 · 2023: 49 · 2022: 10
- FWCI
- 26.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 372 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- Funders
- Sid W. Richardson Foundation (P30CA016672)
- National Cancer Institute (P01CA117969, P30CA16672)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Keywords
- alpha3beta1 integrin, pancreatic ductal adenocarcinoma, tumor microbiome, Bacteroidales, Campylobacterales, tumor hypoxia, immunosuppression, T cell infiltration, anti-PD-1 therapy, antitumor immunity, tumor organoids, tumor cell proliferation
- MeSH terms
- Animals, Collagen, Pancreatic Neoplasms, Carcinoma, Pancreatic Ductal, Collagen Type I, Integrin alpha3beta1, Mice, Carcinogenesis, Microbiota
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