The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer
Open accessAbstract
Significance: Cancer immune evasion is well described. In some cases, this may be overcome by enhancing T-cell responses. We show that despite the presence of antitumor T cells, immunotherapeutic antibodies are ineffective in a murine pancreatic cancer model recapitulating the human disease. Removing the carcinoma-associated fibroblast (CAF) expressing fibroblast activation protein (FAP) from tumors permitted immune control of tumor growth and uncovered the efficacy of these immunotherapeutic antibodies. FAP + CAFs are the only tumoral source of chemokine (C-X-C motif) ligand 12 (CXCL12), and administering AMD3100, an inhibitor of chemokine (C-X-C motif) receptor 4, a CXCL12 receptor, also revealed the antitumor effects of an immunotherapeutic antibody and greatly diminished cancer cells. These findings may have wide clinical relevance because FAP + cells are found in almost all human adenocarcinomas.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“targeting CXCL12 signalling could be considered to be targeting CAFs as they are the major source of the chemokine in many tumours121.”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [121]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“most studies have suggested an immunosuppressive role of CAFs121”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [121]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Interference with the action of CXCL12 produced by CAFs promotes T cell-mediated tumour control16,121,122”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [121]
In the citing paper
“the transcriptional profiles of apCAFs overlap with mesothelial cells150, and based on lineage tracing studies in mice have been postulated to derive from a mesothelial origin145”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [150]
In the citing paper
“They can further differentiate into myofibroblasts that express α-smooth muscle actin232.”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [232]
In the citing paper
“fibroblast activation protein (FAP)+ CAFs inhibited anti-tumor function of T cells in gastric cancer and pancreatic cancer and targeting these FAP+ subtypes enhanced tumor response to ICB (Feig et al., 2013).”
From Hallmarks of response, resistance, and toxicity to immune checkpoint blockade (2021) · cites this paper as Feig et al., 2013
In the citing paper
“Moreover, CAF depletion using diphtheria toxin‐based immunotherapy reduced cancer growth by increasing CD8+ Teff‐cell infiltration to the TME [102].”
From Tumor microenvironment signaling and therapeutics in cancer progression (2023) · cites this paper as [102]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,320
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
Dong, H., Strome, S. E., Salomao, D. R., Tamura, H., Hirano, F., Flies, D. B., Roche, P. C., Lu, J., Zhu, G., Tamada, K., et al. (2002) · Nature Medicine · doi:10.1038/nm730 · Cited by 5,025
Nivolumab plus Ipilimumab in Advanced Melanoma
Wolchok, J. D., Kluger, H., Callahan, M. K., Postow, M. A., Rizvi, N. A., Lesokhin, A. M., Segal, N. H., Ariyan, C. E., Gordon, R.-A., Reed, K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1302369 · Cited by 4,230
Enhancement of Antitumor Immunity by CTLA-4 Blockade
Leach, D. R., Krummel, M. F., & Allison, J. P. (1996) · Science · doi:10.1126/science.271.5256.1734 · Cited by 3,955
Orimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759
Safety and Tumor Responses with Lambrolizumab (Anti–PD-1) in Melanoma
Hamid, O., Robert, C., DAUD, A. I., Hodi, F. S., Hwu, W., Kefford, R. F., Wolchok, J. D., Hersey, P., Joseph, R. W., Weber, J. S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1305133 · Cited by 3,427
Intratumoral T Cells, Recurrence, and Survival in Epithelial Ovarian Cancer
Zhang, L., Conejo-Garcia, J. R., Katsaros, D., Gimotty, P. A., Massobrio, M., Regnani, G., Makrigiannakis, A., Gray, H., Schlienger, K., Liebman, M. N., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa020177 · Cited by 3,397
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 1,000
Stromal cells in the tumor microenvironment: accomplices of tumor progression?
Zhao, Y. F., Shen, M., Wu, L., Yang, H., Yao, Y., Yang, Q., Du, J., Liu, L., Li, Y., & Bai, Y. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-06110-6 · Cited by 487
Senescence-Induced Vascular Remodeling Creates Therapeutic Vulnerabilities in Pancreas Cancer
Ruscetti, M., Morris, J. P., Mezzadra, R., Russell, J., Leibold, J., Romesser, P. B., Simon, J., Kulick, A., Ho, Y.-J., Fennell, M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.008 · Cited by 424
Ishii, G., Ochiai, A., & Neri, S. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.07.007 · Cited by 442
Zhang, H., Yue, X., Chen, Z., Liu, C., Wu, W., Zhang, N., Liu, Z., Yang, L., Jiang, Q., Cheng, Q., et al. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01860-5 · Cited by 469
Activated fibroblasts in cancer: Perspectives and challenges
Caligiuri, G., & Tuveson, D. A. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.02.015 · Cited by 450
Self-citationPancreatic cancer biology and genetics from an evolutionary perspective
Makohon-Moore, A. P., & Iacobuzio–Donahue, C. A. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.66 · Cited by 436
Cancer-Associated Fibroblasts as Another Polarized Cell Type of the Tumor Microenvironment
Augsten, M. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00062 · Cited by 446
T cell migration, search strategies and mechanisms
Krummel, M. F., Bartumeus, F., & Gérard, A. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2015.16 · Cited by 423
Oncolytic viruses as engineering platforms for combination immunotherapy
Twumasi‐Boateng, K., Pettigrew, J. L., Kwok, Y. Y. E., Bell, J. C., & Nelson, B. H. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0009-4 · Cited by 430
Chen, I. X., Chauhan, V. P., Posada, J., Ng, M. R., Wu, M. W., Adstamongkonkul, P., Huang, P., Lindeman, N., Langer, R., & Jain, R. K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815515116 · Cited by 406
Zhang, Y., Lazarus, J., Steele, N. G., Yan, W., Lee, H.-J., Nwosu, Z. C., Halbrook, C. J., Menjivar, R. E., Kemp, S. B., Sirihorachai, V. R., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0958 · Cited by 385
Employing Metabolism to Improve the Diagnosis and Treatment of Pancreatic Cancer
Halbrook, C. J., & Lyssiotis, C. A. (2017) · Cancer Cell · doi:10.1016/j.ccell.2016.12.006 · Cited by 403
Bernard, V., Semaan, A., Huang, J. H., Lucas, F. A. S., Mulu, F. C., Stephens, B. M., Guerrero, P. A., Huang, Y., Zhao, J., Kamyabi, N., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1955 · Cited by 387
Middleton, G., Silcocks, P., Cox, T. F., Valle, J. W., Wadsley, J., PROPPER, D. J., Coxon, F. Y., Ross, P. J., Madhusudan, S., Roques, T. W., et al. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)70236-0 · Cited by 384
Alteration of the Antitumor Immune Response by Cancer-Associated Fibroblasts
Ziani, L., Chouaïb, S., & Thiery, J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00414 · Cited by 391
Chemokines Modulate Immune Surveillance in Tumorigenesis, Metastasis, and Response to Immunotherapy
Vilgelm, A. E., & Richmond, A. J. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00333 · Cited by 378
The Interplay between Extracellular Matrix Remodeling and Cancer Therapeutics
Prakash, J., & Shaked, Y. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0002 · Cited by 416
Overcoming TGFβ-mediated immune evasion in cancer
Tauriello, D. V. F., Sancho, E., & Batlle, E. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-021-00413-6 · Cited by 377
Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity
Park, J., Hsueh, P., Li, Z., & Ho, P. (2023) · Immunity · doi:10.1016/j.immuni.2022.12.008 · Cited by 388
Immunologic tumor microenvironment modulators for turning cold tumors hot
Khosravi, G. R., Mostafavi, S., Bastan, S., Ebrahimi, N., Gharibvand, R. S., & Eskandari, N. (2024) · 癌症:英文版 · doi:10.1002/cac2.12539 · Cited by 403
Li, J., Wu, C., Hu, H., Qin, G., Wu, X., Bai, F., Zhang, J., Cai, Y., Huang, Y. J., Wang, C., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.04.011 · Cited by 388
Grout, J. A., Sirven, P., Leader, A. M., Maskey, S., Hector, E., Puisieux, I., Steffan, F., Cheng, E., Tung, N., Maurin, M., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1714 · Cited by 391
Wang, S., Zheng, Y., Yang, F., Zhu, L., Zhu, X.-Q., Wang, Z.-F., Wu, X.-L., Zhou, C.-H., Yan, J.-Y., Hu, B.-Y., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00659-4 · Cited by 369
Tumor Cell–Derived IL1β Promotes Desmoplasia and Immune Suppression in Pancreatic Cancer
Das, S., Shapiro, B., Vucic, E., Vogt, S., & Bar‐Sagi, D. (2020) · Cancer Research · doi:10.1158/0008-5472.can-19-2080 · Cited by 369
Tumor-Induced IL-6 Reprograms Host Metabolism to Suppress Anti-tumor Immunity
Flint, T. R., Janowitz, T., Connell, C. M., Roberts, E. W., Denton, A. E., Coll, A. P., Jodrell, D. I., & Fearon, D. T. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.10.010 · Cited by 367
Self-citationStromal biology and therapy in pancreatic cancer: ready for clinical translation?
Neeße, A., Bauer, C. A., Öhlund, D., Lauth, M., Buchholz, M., Michl, P., Tuveson, D. A., & Gress, T. M. (2018) · Gut · doi:10.1136/gutjnl-2018-316451 · Cited by 358
Self-citationHepatic stellate cells suppress NK cell-sustained breast cancer dormancy
Correia, A. L., Guimaraes, J. C., Auf der Maur, P., De Silva, D., Trefny, M. P., Okamoto, R., Bruno, S., Schmidt, A., Mertz, K., Volkmann, K., et al. (2021) · Nature · doi:10.1038/s41586-021-03614-z · Cited by 339
Roles of macrophages in tumor development: a spatiotemporal perspective
Bied, M., Ho, W. W., Ginhoux, F., & Blériot, C. (2023) · Cellular and Molecular Immunology · doi:10.1038/s41423-023-01061-6 · Cited by 381
Cancer-associated fibroblasts and their influence on tumor immunity and immunotherapy
Barrett, R. L., & Puré, E. (2020) · eLife · doi:10.7554/elife.57243 · Cited by 357
Single-cell analysis defines a pancreatic fibroblast lineage that supports anti-tumor immunity
Hutton, C., Heider, F., Blanco-Gomez, A., Banyard, A., Kononov, A., Zhang, X., Karim, S., Paulus-Hock, V., Watt, D., Steele, N., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.06.017 · Cited by 337
Epithelial–mesenchymal transition: a new target in anticancer drug discovery
Marcucci, F., Stassi, G., & Maria, R. D. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.13 · Cited by 345
The Role of the CXCL12/CXCR4/CXCR7 Chemokine Axis in Cancer
Shi, Y. P., Riese, D. J., & Shen, J. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.574667 · Cited by 352
From mice to humans: developments in cancer immunoediting
Teng, M. W. L., Galon, J., Fridman, W.-H., & Smyth, M. J. (2015) · Journal of Clinical Investigation · doi:10.1172/jci80004 · Cited by 337
Cancer-associated fibroblasts in tumor microenvironment–Accomplices in tumor malignancy
Liao, Z., Tan, Z. W., Zhu, P., & Tan, N. S. (2019) · Cellular Immunology · doi:10.1016/j.cellimm.2017.12.003 · Cited by 335
Targeting the renin-angiotensin system to improve cancer treatment: Implications for immunotherapy
Pinter, M., & Jain, R. K. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan5616 · Cited by 338
Microenvironmental Determinants of Pancreatic Cancer
Heßmann, E., Buchholz, S., Demir, İ. E., Singh, S. K., Gress, T. M., Ellenrieder, V., & Neeße, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00042.2019 · Cited by 336
Bu, L., Baba, H., Yoshida, N., Miyake, K., Yasuda, T., Uchihara, T., Tan, P. B. O., & Ishimoto, T. (2019) · Oncogene · doi:10.1038/s41388-019-0765-y · Cited by 336
γδ T Cells Support Pancreatic Oncogenesis by Restraining αβ T Cell Activation
Daley, D., Zambirinis, C. P., Seifert, L., Akkad, N., Mohan, N., Werba, G., Barilla, R., Torres-Hernandez, A., Hundeyin, M., Mani, V. R. K., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.046 · Cited by 329
Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth
Davidson, S., Efremova, M., Riedel, A., Mahata, B., Pramanik, J., Huuhtanen, J., Kar, G., Vento‐Tormo, R., Hagai, T., Chen, X. X., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107628 · Cited by 330
Self-citationKato, T., Noma, K., Ohara, T., Kashima, H., Katsura, Y., Sato, H., Komoto, S., Katsube, R., Ninomiya, T., Tazawa, H., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0205 · Cited by 367
PD-1/PD-L1 and immunotherapy for pancreatic cancer
Feng, M., Xiong, G., Cao, Z., Yang, G., Zheng, S., Song, X., You, L., Zheng, L., Zhang, T., & Zhao, Y. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.08.006 · Cited by 319
Yoshida, G. J. (2020) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-020-01611-0 · Cited by 328
Targeting the tumor stroma for cancer therapy
Xu, M., Zhang, T., Xia, R., Wei, Y., & Wei, X. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01670-1 · Cited by 334
Tumor microenvironment signaling and therapeutics in cancer progression
Goenka, A., Khan, F., Verma, B., Sinha, P., Dmello, C. C., Jogalekar, M. P., Gangadaran, P., & Ahn, B. (2023) · Cancer Communications · doi:10.1002/cac2.12416 · Cited by 323
CAF Subpopulations: A New Reservoir of Stromal Targets in Pancreatic Cancer
Pereira, B., Vennin, C., Papanicolaou, M., Chambers, C. R., Herrmann, D., Morton, J. P., Cox, T. R., & Timpson, P. (2019) · Trends in cancer · doi:10.1016/j.trecan.2019.09.010 · Cited by 320
CAR-T Cells Hit the Tumor Microenvironment: Strategies to Overcome Tumor Escape
Rodríguez-García, A., Palazón, A., Noguera-Ortega, E., Powell, D. J., & Guedan, S. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01109 · Cited by 326
Ershaid, N., Sharon, Y., Doron, H., Raz, Y., Shani, O., Cohen, N., Monteran, L., Leider–Trejo, L., Ben‐Shmuel, A., Yassin, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12370-8 · Cited by 323
Stromal Cells in the Tumor Microenvironment
Denton, A. E., Roberts, E. W., & Fearon, D. T. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-78127-3_6 · Cited by 311
Self-citationMigrating into the tumor: a roadmap for T cells
van der Woude, L. L., Gorris, M. A. J., Halilovic, A., Figdor, C. G., & de Vries, I. J. M. (2017) · Trends in cancer · doi:10.1016/j.trecan.2017.09.006 · Cited by 307
Immunologic Strategies in Pancreatic Cancer: Making Cold Tumors Hot
Ullman, N. A., Burchard, P. R., Dunne, R. F., & Linehan, D. C. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.21.02616 · Cited by 311
miR200-regulated CXCL12β promotes fibroblast heterogeneity and immunosuppression in ovarian cancers
Givel, A.-M., Kieffer, Y., Scholer-Dahirel, A., Sirven, P., Cardon, M., Pelon, F., Magagna, I., Gentric, G., Costa, A., Bonneau, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03348-z · Cited by 295
Oncogenic KRAS Regulates Tumor Cell Signaling via Stromal Reciprocation
Tape, C. J., Ling, S., Dimitriadi, M., McMahon, K. M., Worboys, J. D., Leong, H. S., Norrie, I. C., Miller, C. J., Poulogiannis, G., Lauffenburger, D. A., et al. (2016) · Cell · doi:10.1016/j.cell.2016.03.029 · Cited by 369
Hosein, A. N., Huang, H., Wang, Z., Parmar, K., Du, W., Huang, J., Maitra, A., Olson, E., Verma, U., & Brekken, R. A. (2019) · JCI Insight · doi:10.1172/jci.insight.129212 · Cited by 302
Biomarkers for cancer-associated fibroblasts
Han, C., Liu, T., & Yin, R. H. (2020) · Biomarker Research · doi:10.1186/s40364-020-00245-w · Cited by 308
CD40 stimulation obviates innate sensors and drives T cell immunity in cancer
Byrne, K. T., & Vonderheide, R. H. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.058 · Cited by 282
WNT Signaling and Colorectal Cancer
Schatoff, E. M., Leach, B. I., & Dow, L. E. (2017) · Current Colorectal Cancer Reports · doi:10.1007/s11888-017-0354-9 · Cited by 313
Single-cell RNA sequencing reveals evolution of immune landscape during glioblastoma progression
Yeo, A. T., Rawal, S., Delcuze, B., Christofides, A., Atayde, A. M. P., Strauss, L., Balaj, L., Rogers, V. A., Uhlmann, E. J., Varma, H., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01215-0 · Cited by 303
The Immune Revolution: A Case for Priming, Not Checkpoint
Vonderheide, R. H. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.008 · Cited by 301
Beatty, G. L., Winograd, R., Evans, R. A., Long, K. B., Luque, S. L., Lee, J. W., Clendenin, C., Gladney, W. L., Knoblock, D. M., Guirnalda, P. D., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.04.010 · Cited by 297
Fearon, D. T. (2014) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0002 · Cited by 288
Self-citationMolecular Pathways: Targeting the CXCR4–CXCL12 Axis—Untapped Potential in the Tumor Microenvironment
Scala, S. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0914 · Cited by 293
Cohen, N., Shani, O., Raz, Y., Sharon, Y., Hoffman, D., Abramovitz, L., & Erez, N. (2017) · Oncogene · doi:10.1038/onc.2017.65 · Cited by 296
Cancer‐associated fibroblasts in breast cancer: Challenges and opportunities
Hu, D., Li, Z., Zheng, B., Lin, X., Pan, Y., Gong, P., Zhuo, W., Hu, Y., Chen, C., Chen, L., et al. (2022) · 癌症:英文版 · doi:10.1002/cac2.12291 · Cited by 310
How chemokines organize the tumour microenvironment
Mempel, T. R., Lill, J. K., & Altenburger, L. M. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00635-w · Cited by 317
Chen, Y., Yang, S., Tavormina, J., Tampe, D., Zeisberg, M., Wang, H., Mahadevan, K. K., Wu, C.-J., Sugimoto, H., Chang, C.-C., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.06.011 · Cited by 289
Werba, G., Weissinger, D., Kawaler, E. A., Zhao, E., Kalfakakou, D., Dhara, S., Wang, L., Lim, H. B., Oh, G., Jing, X., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36296-4 · Cited by 303
Resistance to Checkpoint Inhibition in Cancer Immunotherapy
Barrueto, L., Caminero, F., Cash, L., Makris, C., Lamichhane, P., & Deshmukh, R. R. (2020) · Translational Oncology · doi:10.1016/j.tranon.2019.12.010 · Cited by 296
Inhibition of Hedgehog Signaling Alters Fibroblast Composition in Pancreatic Cancer
Steele, N. G., Biffi, G., Kemp, S. B., Zhang, Y., Drouillard, D., Syu, L.-J., Yuan, H., Oni, T. E., Brosnan, E., Elyada, E., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-3715 · Cited by 289
Self-citationFibroblast Heterogeneity in the Pancreatic Tumor Microenvironment
Helms, E. J., Oñate, M. K., & Sherman, M. H. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1353 · Cited by 288
Signaling pathways in cancer‐associated fibroblasts: recent advances and future perspectives
Fang, Z., Meng, Q., Xu, J., Wang, W., Zhang, B., Liu, J., Liang, C., Hua, J., Zhao, Y., Yu, X., et al. (2022) · 癌症:英文版 · doi:10.1002/cac2.12392 · Cited by 304
Nanomaterials for cancer immunotherapy
Song, W., Musetti, S., & Huang, L. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.09.017 · Cited by 285
Relevance of immune cell and tumor microenvironment imaging in the new era of immunotherapy
Galli, F., Aguilera, J. V., Palermo, B., Markovic, S. N., Nisticò, P., & Signore, A. (2020) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-020-01586-y · Cited by 286
Targeting CXCL12/CXCR4 Axis in Tumor Immunotherapy
Zhou, W., Guo, S., Liu, M., Burow, M. E., & Wang, G. (2017) · Current Medicinal Chemistry · doi:10.2174/0929867324666170830111531 · Cited by 286
Long, K. B., Gladney, W. L., Tooker, G. M., Graham, K. L., Fraietta, J. A., & Beatty, G. L. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-1032 · Cited by 275
Vennin, C., Mélénec, P., Rouet, R., Nobis, M., Cazet, A. S., Murphy, K. J., Herrmann, D., Reed, D. A., Lucas, M. C., Warren, S. C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10968-6 · Cited by 268
Yamauchi, M., Barker, T. H., Gibbons, D. L., & Kurie, J. M. (2018) · Journal of Clinical Investigation · doi:10.1172/jci93554 · Cited by 282
Mechanisms driving the immunoregulatory function of cancer cells
van Weverwijk, A., & de Visser, K. E. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-022-00544-4 · Cited by 288
Pommier, A., Anaparthy, N., Memos, N. K., Kelley, Z. L., Gouronnec, A., Yan, R., Auffray, C., Albrengues, J., Egeblad, M., Iacobuzio–Donahue, C. A., et al. (2018) · Science · doi:10.1126/science.aao4908 · Cited by 269
Self-citationIrreversible electroporation reverses resistance to immune checkpoint blockade in pancreatic cancer
Zhao, J., Wen, X., Li, T. X., Li, T., Xu, C., Wen, X., Melancon, M. P., Gupta, S. K., Shen, B., Peng, W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08782-1 · Cited by 274
Regulation of the anti-tumour immune response by cancer-associated fibroblasts
Harper, J. A., & Sainson, R. C. A. (2014) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2013.12.005 · Cited by 281
Current and emerging therapeutic approaches for colorectal cancer: A comprehensive review
Kumar, A., Gautam, V., Sandhu, A., Rawat, K., Sharma, A., & Saha, L. (2023) · World Journal of Gastrointestinal Surgery · doi:10.4240/wjgs.v15.i4.495 · Cited by 272
Xiao, Z., Todd, L., Huang, L., Noguera-Ortega, E., Lu, Z., Huang, L., Kopp, M., Li, Y., Pattada, N., Zhong, W., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40850-5 · Cited by 272
CXCR4 inhibition in human pancreatic and colorectal cancers induces an integrated immune response
Biasci, D., Smoragiewicz, M., Connell, C. M., Wang, Z., Gao, Y., Thaventhiran, J. E. D., Basu, B., Magiera, Ł., Johnson, T. I., Bax, L., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013644117 · Cited by 271
Self-citationFibroblast heterogeneity in tumor micro-environment: Role in immunosuppression and new therapies
Mhaidly, R., & Mechta‐Grigoriou, F. (2020) · Seminars in Immunology · doi:10.1016/j.smim.2020.101417 · Cited by 267
Li, X., Yong, T., Wei, Z., Bie, N., Zhang, X., Zhan, G., Li, J., Qin, J., Yu, J., Zhang, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30306-7 · Cited by 272
Determinants of metastatic competency in colorectal cancer
Tauriello, D. V. F., Calon, A., Lonardo, E., & Batlle, E. (2017) · Molecular Oncology · doi:10.1002/1878-0261.12018 · Cited by 262
Kundu, M., Butti, R., Panda, V. K., Malhotra, D., Das, S., Mitra, T., Kapse, P., Gosavi, S., & Kundu, G. C. (2024) · Molecular Cancer · doi:10.1186/s12943-024-01990-4 · Cited by 284
Cancer-Associated Fibroblasts: Tumorigenicity and Targeting for Cancer Therapy
Glabman, R. A., Choyke, P. L., & Sato, N. (2022) · Cancers · doi:10.3390/cancers14163906 · Cited by 270
Host tissue determinants of tumour immunity
Salmon, H., Remark, R., Gnjatic, S., & Mérad, M. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0125-9 · Cited by 263
Mhaidly, R., & Mechta‐Grigoriou, F. (2021) · Immunological Reviews · doi:10.1111/imr.12978 · Cited by 231
Chao, T., Furth, E. E., & Vonderheide, R. H. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0188 · Cited by 252
Katlinski, K. V., Gui, J., Katlinskaya, Y. V., Ortiz, A., Chakraborty, R., Bhattacharya, S., Carbone, C. J., Beiting, D. P., Girondo, M. A., Peck, A. R., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.01.004 · Cited by 257
Fibroblasts in the Tumor Microenvironment: Shield or Spear?
Alkasalias, T., Moyano‐Galceran, L., Arsenian‐Henriksson, M., & Lehti, K. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19051532 · Cited by 251
RIP1 Kinase Drives Macrophage-Mediated Adaptive Immune Tolerance in Pancreatic Cancer
Wang, W., Marinis, J. M., Beal, A. M., Savadkar, S., Wu, Y., Khan, M., Taunk, P. S., Wu, N., Su, W., Wu, J., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.10.006 · Cited by 248
Cancer Associated Fibroblasts: The Architects of Stroma Remodeling
Santi, A., Kugeratski, F. G., & Zanivan, S. R. (2017) · PROTEOMICS · doi:10.1002/pmic.201700167 · Cited by 251
The double edge sword of fibrosis in cancer
Chandler, C., Liu, T., Buckanovich, R. J., & Coffman, L. G. (2019) · Translational research · doi:10.1016/j.trsl.2019.02.006 · Cited by 257
The Immune Microenvironment in Pancreatic Cancer
Huber, M., Brehm, C. U., Gress, T. M., Buchholz, M., Alhamwe, B. A., von Strandmann, E. P., Slater, E. P., Bartsch, J. W., Bauer, C. A., & Lauth, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197307 · Cited by 250
The Role of Cancer-Associated Fibroblasts in Tumor Progression
Joshi, R. S., Kanugula, S. S., Sudhir, S., Pereira, M. P., Jain, S., & Aghi, M. K. (2021) · Cancers · doi:10.3390/cancers13061399 · Cited by 245
Christenson, E. S., Jaffee, E. M., & Azad, N. S. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30795-8 · Cited by 245
Metadata
- Authors
- 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., Teichmann, S. A., Janowitz, T., Jodrell, D. I., Tuveson, D. A., & Fearon, D. T.
- Affiliations
- University of Cambridge (GB)
- MRC Laboratory of Molecular Biology (GB)
- Johns Hopkins University (US)
- Ludwig Collaborative Laboratory, Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21231; and
- European Bioinformatics Institute (GB)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-11-25
- Volume
- 110
- Issue
- 50
- Pages
- 20212-20217
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3864274
- OpenAlex
- W2086834665
- Cited by
- 2,100
- References
- 28
- Citations by year
- 2026: 252 · 2025: 157 · 2024: 226 · 2023: 214 · 2022: 221 · 2021: 244 · 2020: 203 · 2019: 149 · 2018: 125 · 2017: 119 · 2016: 95 · 2015: 63 · 2014: 30
- FWCI
- 33.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Funders
- Wellcome Trust
- Cancer Research UK (15678)
- National Institute for Health and Care Research (CL-2011-14-007)
- Medical Research Council (MC_PC_12012)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Peptidase Inhibition and Analysis
- Keywords
- pancreatic ductal adenocarcinoma, CXCL12, fibroblast activation protein, cancer-associated fibroblasts, PD-L1 blockade, CTLA-4 blockade, tumor immune evasion, tumor stroma, CXCR4 inhibition, AMD3100, CD8+ T cells, chemokine signaling, immunotherapy resistance
- MeSH terms
- Cyclams, Fibroblast Activation Protein Alpha, Analysis of Variance, Animals, Base Sequence, Benzylamines, Fibroblasts, Flow Cytometry, Fluorescent Antibody Technique, Heterocyclic Compounds, Immunohistochemistry, Immunotherapy, Membrane Proteins, Molecular Sequence Data, Pancreatic Neoplasms, Endopeptidases, Serine Endopeptidases, Sequence Analysis, RNA, Gelatinases, Tumor Escape, Carcinoma, Pancreatic Ductal, Mice, Chemokine CXCL12, Enzyme-Linked Immunospot Assay
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