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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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Research works printed but not linked: 1
- Lee, 2012, Generation of primary tumors with Flp recombinase in FRT-flanked p53 mice, Dis. Models Mech., 5, 397
Cited by
Sorted by citations
Items 201–300 of 305
Xu, J., Chu, T., Liu, Z., (281351), H. L., Duan, K., Liu, X., Yang, H., Lou, F., Liu, H., Chi, Y., et al. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102275 · Cited by 2
Role of ZNF334 in cervical cancer: implications for EMT reversal and tumor suppression
Li, Q., Zhou, X., Xiao, J., Gong, Y., Gong, X., Shao, B., Wang, J., Zhao, L., Xiong, Q., Wu, Y., et al. (2024) · Medical Oncology · doi:10.1007/s12032-024-02433-2 · Cited by 2
Spatially resolved transcriptomics reveals gene expression characteristics in uveal melanoma
Xiu, J., Chen, Y., Mao, Y.-L., Luo, J.-T., Li, H., Li, Y., & Wei, W. (2025) · Holistic Integrative Oncology · doi:10.1007/s44178-024-00138-0 · Cited by 2
Self-citationP4HB, a novel succinated protein, is essential for fumarate-induced cancer metastasis
Song, X., Rao, H., Huang, C., Huang, M., Ma, Y., Xin, J., Hou, J., Hu, Z., He, L., Pan, F., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.143885 · Cited by 3
The roles of collagens and fibroblasts in cancer
Nissen, N. I., Karsdal, M. A., Cox, T. R., & Willumsen, N. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15617-5.00029-9 · Cited by 2
Xing, C., Zou, W., Li, Y. X., Zhang, T., Yao, F., Yao, Z., & Xing, X. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1592474 · Cited by 1
Pan, D., Du, L., Liu, J., Kuerban, K., Huang, X., Wang, Y., Guo, Q., Chen, H., Wang, S., Wang, L., et al. (2025) · Vaccines · doi:10.3390/vaccines13070710 · Cited by 1
Okura, T., Kikuchi, S., Tazawa, H., Mikane, Y., Kanaya, N., Mitsui, E., Une, Y., Shigeyasu, K., Ohara, T., Kuroda, S., et al. (2025) · Molecular Therapy Oncology · doi:10.1016/j.omton.2025.201045 · Cited by 1
Ji, X., Yun, Y., Zhu, Z., Wu, T., Ruan, M., Fan, Y., & Zhang, Q. (2025) · Cellular Signalling · doi:10.1016/j.cellsig.2025.112259 · Cited by 1
Molecular dynamics reveals how calcium drives hetero- versus homotrimerization of type I collagen
Johnson, E. J., Xu, S., de Souza, J. V., Evans, A. D. C. D. C. S., Bronowska, A. K., & Canty‐Laird, E. G. (2026) · Biophysical Journal · doi:10.1016/j.bpj.2026.01.033 · Cited by 1
Microbiota in pancreatic ductal adenocarcinoma progression and therapy: The hidden players
Hu, X., Kong, F., Chen, J., Li, Z., Cai, Z., & Kong, X. (2026) · Chinese Medical Journal · doi:10.1097/cm9.0000000000003986 · Cited by 1
Microbiota as a modulator of drug response: targeting microbial–drug crosstalk in cancer therapy
Zhao, T., Liu, M., Qiu, L. X., Zhang, H., Zhang, N., Liu, Z., Xia, Z., Luo, P., Huang, J., & Cheng, Q. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2651930 · Cited by 1
Sun, S., Wen, S., Zhang, R., Fu, Y., Hao, H., Li, Y., Wen, Y., Huo, Y., Fang, Y., 莊世豪, et al. (2026) · Asian Journal of Pharmaceutical Sciences · doi:10.1016/j.ajps.2026.101171 · Cited by 1
Jansen, S. M., Willumsen, N., & Karsdal, M. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15617-5.00042-1 · Cited by 1
CCK Receptor Inhibition Reduces Pancreatic Tumor Fibrosis and Promotes Nanoparticle Delivery
Abraham, T., Armold, M., McGovern, C. O., Harms, J. F., Darok, M. C., Gigliotti, C. M., Adair, B. M., Gray, J. L., Kelly, D. F., Adair, J. H., et al. (2024) · Biomedicines · doi:10.3390/biomedicines12051024 · Cited by 1
Sato, K., Teranishi, S., Sakaue, A., Karuo, Y., Tarui, A., Kawai, K., Takeda, H., Kinashi, T., & Omote, M. (2024) · Beilstein Journal of Organic Chemistry · doi:10.3762/bjoc.20.118 · Cited by 1
Type I collagen homotrimers: A potential cancer‐specific interventional target
Zhou, Y., Zhang, L., Xie, J., & Han, J. (2022) · MedComm – Oncology · doi:10.1002/mog2.16 · Cited by 1
Chang, C., Huang, L., Jin, Y., Jamal, M. A., Hayase, E., Halsey, T. M., Ortega, M. R., Pham, D., Glover, I. K., Flores, I. I., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.27.615519 · Cited by 1
Self-citationLi, S. (2024) · Research Square · doi:10.21203/rs.3.rs-5104493/v1 · Cited by 1
Nguyen, T. H., Zhang, J., Hipp, J., Chhor, G., Griffin, M., Le, N., Kartik, D., Zhang, Y., Mirzadeh, M., Varao, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.17.643273 · Cited by 1
CREB5 promotes immunotherapy resistance via tumor-intrinsic collagen matrix depositionPreprint
Tiwari, P., Colvin, K. J., Kim, S. Y., Kammula, A. V., Chinai, J. M., Alfaiate, N., Revach, O., Kistler, E. N., Heo, S., Anderson, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.22.649109 · Cited by 1
The Physical Factors Involved in Cancer Progression
Lee, C.-T., Hu, C.-S., & Wong, T. (2024) · Springer series in biophysics · doi:10.1007/978-3-031-45379-3_5
Xue, C., Yang, F., Bao, G., Yan, J., Fu, R., Zhang, M., Ding, J., Feng, J., Han, J., Qin, X., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.28.586926
Progress of the Study on Type III Collagen in Breast Cancer
刘, 潇. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1441294
Eg, P., Vasylieva, I. G., Khyzhnyak, M. V., Chopyk, N. G., Цюбко, О. И., Dmytrenko, A. B., Makarova, T. А., Troyan, O. I., & Ksenzov, T. A. (2024) · PAIN JOINTS SPINE · doi:10.22141/pjs.14.2.2024.417
Li, Y., Wu, R., Wang, H., Zhong, M., Qing, Y., Lu, S., Zhang, Z., Ma, T., Luo, J., Xiao, H., et al. (2025) · International Journal of Medical Sciences · doi:10.7150/ijms.107703
Self-citationJohnson, E., de Souza, J. V., Bronowska, A. K., & Canty‐Laird, E. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.03.646381
Particulate matter-shaped Th17 cell plasticity impairs the colonic mucus layer
Li, B., Huang, N., Wang, J., Zhang, X., Meng, Q., Wu, S., & Chen, R. (2025) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2025.118219
Contribution of gut microbiome to pancreatic ductal adenocarcinoma development
Zaitsev, D. V., Trukhacheva, E. A., Davidovich, N. V., & Kukalevskaya, N. N. (2025) · Сибирский научный медицинский журнал · doi:10.18699/ssmj20250202
Gupta, P., Murad, R., Ling, L., Zhang, Y., Duong‐Polk, K., Maganti, S., Galapate, C. M., & Commisso, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.08.652966
The tumor microbiome and cancer immunotherapy: A systematic review of a new frontier beyond the gutPreprint
Barjij, I., & Meliani, M. (2025) · Research Square · doi:10.21203/rs.3.rs-6787336/v1
Cheng, Z., Du, L., Zhang, H., Zhou, Z., Ma, Y., Zhang, B., Tu, L., Gong, T., Si, Z., Fang, H., et al. (2025) · IET Systems Biology · doi:10.1049/syb2.70027
Zhou, Y., Feng, Y., Wang, Y., Wang, Y., Liu, X., Sun, T., & Xu, J. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70708
Glioblastoma-associated fibroblasts enhance vascular stiffness and confer to poor prognosis
Long, X., Wang, X., Wang, S., Huang, W., Gao, W., Li, X., Huang, M., Du, Y., Guan, F., Deng, K., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000004114
Kalluri, V. S., Bockorny, B., Borobio, E. P., Macarulla, T. M., Cid, R. P., Medina, L., Gil-Negrete, A., Rivera, F., Varela, V., Martín-Muñoz, A., et al. (2025) · medRxiv · doi:10.64898/2025.12.14.25342225
Self-citationZhu, X. M., Zhang, M., Chen, Q., Xiao, Y., Xu, G., & Chen, L. (2025) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2025.2601835
Wang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.26702515
Wang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.26702518
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Wang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.26702524
Guan, S.-W., Lin, Q., Wu, X.-D., & Yu, H.-B. (2024) · Figshare · doi:10.6084/m9.figshare.26610075
Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684397
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684382
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684412
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684415
Self-citationWang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.26702527
Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684373
Self-citationShi, H., Yuan, M., Cai, J., Lan, L., Wang, Y., Wang, W., Zhou, J., Wang, B., Yu, W., Dong, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25459616
Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684406
Self-citationDuan, Y., Kong, P., Huang, M., Yan, Y., Dou, Y., Huang, B., Guo, J., Kang, W., Zhu, C., Wang, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25405966
Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684394
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X.-F., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684388
Self-citationGuan, S., Lin, Q., Wu, X.-D., & Yu, H.-B. (2024) · Figshare · doi:10.6084/m9.figshare.26610105
Jiang, H., Tian, Y., Xu, L., Chen, X., Huang, Y., Wu, J., Wang, T., Liu, T., Wu, X., Ye, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26741483
Guan, S., Lin, Q., Wu, X.-D., & Yu, H.-B. (2024) · Figshare · doi:10.6084/m9.figshare.26610126
Wang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.25556573
Wang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.25556642
Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684400
Self-citationWang, Y., Kong, Y., Yang, Q., Zhong, C., & Zhou, D. (2024) · Figshare · doi:10.6084/m9.figshare.26702521
Shen, X., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684376
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684385
Self-citationShen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B.-Y., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25271937
Self-citationGuan, S., Lin, Q., Wu, X.-D., & Yu, H.-B. (2024) · Figshare · doi:10.6084/m9.figshare.26610120
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Jiang, H., Tian, Y., Xu, L., Chen, X., Huang, Y., Wu, J., Wang, T., Liu, T., Wu, X., Ye, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26741486
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Shen, X., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25271793
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Shen, X.-T., Xie, S.-Z., Zheng, X., Zou, T., Hu, B., Xu, J., Liu, L., Xu, Y.-F., Wang, X., Wang, H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26684379
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Gopisairam, T., Thota, S., & Bikku, T. (2026) · Scientific Reports · doi:10.1038/s41598-026-39283-z
Yang, X., Qiao, Y., Sun, Y., Abdelaal, T. A., Schuck, K., Abdelrasoul, H., Torre, C. D. L., Hermes, M., Dong, Y., Hu, J., et al. (2026) · International Journal of Cancer · doi:10.1002/ijc.70376
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Guillard, J., Stradley, J., Turan, K., Storl-Desmond, M., Lin, S. C., Huang, Y.-T., Forti, K. M., Weber, C. R., & Schwörer, S. (2026) · Matrix Biology · doi:10.1016/j.matbio.2026.03.004
Zheng, Y., Yang, Y., Ma, Y., Xiong, Q., & Zhu, Q. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102172
Extracellular matrix proteins mediating carcinoma cell adhesion and their role in metastasis
Zavyalova, M. V., Litvyakov, N. V., Ваизова, О. Е., Serebryakova, V. A., Golovina, E. L., Удут, Е. В., Khlebnikov, А. I., Васильевич, З. А., Сергеевич, П. Д., & Михайлович, П. В. (2026) · Yakut Medical Journal · doi:10.25789/ymj.2026.93.21
Shi, H., Shi, J., Dong, X., Wu, S., Lv, Q., Huang, Q., Miao, D., Lu, F., Wang, C., Zhang, X., et al. (2026) · Cell Death and Disease · doi:10.1038/s41419-026-08713-1
Song, D., Tang, H., You, T. T., Ying, J., Bai, C., Sun, Z., Han, Q., & Zhao, R. C. (2026) · Stem Cells and Development · doi:10.1177/15473287261442512
Yeo, S. J., Ian Tate Ek Ern, S. I. M., Tay, H. Y., Tai, D., Shi, R., & Chan, J. H. (2026) · Discover Oncology · doi:10.1007/s12672-026-05091-0
Qin, Z., Ma, J., Jü, R., & Guo, L. (2026) · Organ medicine. · doi:10.1002/orm2.70044
Shi, C., Duan, M., Li, J., Zhang, F., Guo, Y., Lu, T., Zhao, W., & Liu, Y. (2026) · BMC Cancer · doi:10.1186/s12885-026-16287-6
Zhang, Y., Sun, Z., Shi, Z., Nan, M., Fu, Y., Ren, Q., & Gao, J. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014346
HSP47 is a potential dual cell target and prognostic factor in pancreatic cancer
Sharbeen, G., Gonzales‐Aloy, E., Youkhana, J., Kokkinos, J., Ignacio, R. M. C., McCarroll, J. A., Raina, A. S., Kopecky, C., Liu, J., Mawson, A., et al. (2026) · Oncogene · doi:10.1038/s41388-026-03865-y
Qin, Z., Xu, Y., Wang, Y., Ma, J., Zou, J., Wang, Y., Zhang, K., Qiu, J., Ju, R., & Guo, L. (2026) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2026.179141
Microbiome—pancreatic cancer crosstalk: From tumor biology to therapeutic intervention
薛玉芹, Ye, J., Wang, S., Liu, M., Dai, F., Bai, M., Wang, Y., Savoji, A., Wang, Y., Hylemon, P. B., et al. (2026) · iMetaOmics. · doi:10.1002/imo2.70126
Yu, D., Jin, K., Sun, S., Chen, M., Yi, X., & Chen, L. (2026) · BMC Cancer · doi:10.1186/s12885-026-16648-1
The tumor microenvironment in pancreatic cancer: from composition to therapeutic targeting
Gomes, B. M., & Xavier, P. L. P. (2026) · Biochemical Society Transactions · doi:10.1042/bst20260001 · Cited by 1
Type I collagen matrix signaling in cancer: receptor sensing and mechanotransduction
Xiao, X., Yu, P., Liu, Y., Zhou, Z., Zhao, K., Li, W., Li, Z., Ma, L., Wang, Y., Zhang, Y., et al. (2026) · Cellular Signalling · doi:10.1016/j.cellsig.2026.112853
Molecular design and delivery of extracellular and membrane protein degradation chimeras
Lin, S., Zhou, H., Qiu, J., Dang, Y., Kou, L., Zhu, Z., Xu, Z., Lai, Y., & Yu, H. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115959
Type I collagen homotrimer alters tail tendon material properties
Johnson, E. J., Dhowre, H. S., Lee, K., Morais, M., White, R., Parkinson, B., Coleman, H., Knox, J., O'Heneghan-Yates, N., Faucher, C., et al. (2026) · Acta Biomaterialia · doi:10.1016/j.actbio.2026.09.015
Li, Z., Liu, X.-M., Wang, X.-Y., Zhang, S.-H., Li, J., Guo, W.-H., Ding, B., Zhou, Y., Xie, C., Qiao, X., et al. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6c01687
Liu, R., Liu, C., Guo, X., Li, P., Niu, Y., Zhao, J., Zhang, J., Su, X., Chen, J., Jin, J., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27188245
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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