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Biomarkers for Response to Immune Checkpoint Blockade
Open accessAbstract
Immune checkpoint blockade (ICB) has significant clinical activity in diverse cancer classes and can induce durable remissions in even refractory advanced disease. However, only a minority of cancer patients treated with ICB have long-term benefits, and ICB treatment is associated with significant, potentially life-threatening, autoimmune side effects. There is a great need to develop biomarkers of response to guide patient selection to maximize the chance of benefit and prevent unnecessary toxicity, and current biomarkers do not have optimal positive or negative predictive value. A variety of potential biomarkers are currently being developed, including those based on assessment of checkpoint protein expression, evaluation of tumor-intrinsic features including mutation burden and viral infection, evaluation of features of the tumor immune microenvironment including nature of immune cell infiltration, and features of the host such as composition of the gut microbiome. Better understanding of the underlying fundamental mechanisms of immune response and resistance to ICB, along with the use of complementary assays that interrogate distinct features of the tumor, the tumor microenvironment, and host immune system, will allow more precise use of these therapies to optimize patient outcomes.
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“Although a range of assays have been approved, there remains significant variation in antibodies, tissue handling techniques, and thresholds, which limits the uniform benefit of PD-L1 expression as an isolated biomarker, and efforts are under way to integrate PD-L1 expression with other biomarkers (described below; ref. 127).”
From The Next Decade of Immune Checkpoint Therapy (2021) · cites this paper as [127]
In the citing paper
“Furthermore, as our understanding of host effects on the immune system has grown, it is clear that the gut microbiome exerts influence over the effectiveness of ICTs (127).”
From The Next Decade of Immune Checkpoint Therapy (2021) · cites this paper as [127]
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Cites
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, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
Ferris, R. L., Blumenschein, G., Fayette, J., Guigay, J., Colevas, A. D., Licitra, L., Harrington, K., Kasper, S., Vokes, E. E., Even, C., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1602252 · Cited by 5,101
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
Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer
Schmid, P., Adams, S., Rugo, H. S., Schneeweiss, A., Barrios, C. H., Iwata, H., Diéras, V., Hegg, R., Im, S.-A., Shaw Wright, G., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1809615 · Cited by 4,350
Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma
Snyder, A., Makarov, V., Merghoub, T., Yuan, J., Zaretsky, J. M., Desrichard, A., Walsh, L. A., Postow, M. A., Wong, P., Ho, T. S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1406498 · Cited by 4,286
Tumor mutational load predicts survival after immunotherapy across multiple cancer types
Samstein, R. M., Lee, C.-H., Shoushtari, A. N., Hellmann, M. D., Shen, R., Janjigian, Y. Y., Barron, D. A., Zehir, A., Jordan, E. J., Omuro, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0312-8 · Cited by 4,071
Profiling Tumor Infiltrating Immune Cells with CIBERSORT
Chen, B., Khodadoust, M. S., Liu, C. L., Newman, A. M., & Alizadeh, A. A. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7493-1_12 · Cited by 3,929
Commensal 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
Molecular and genetic properties of tumors associated with local immune cytolytic activity
Rooney, M. S., Shukla, S. A., Wu, C. J., Getz, G., & Hacohen, N. (2015) · Cell · doi:10.1016/j.cell.2014.12.033 · Cited by 3,825
IFN-γ–related mRNA profile predicts clinical response to PD-1 blockade
Ayers, M., Lunceford, J., Nebozhyn, M., Murphy, E., Loboda, A., Kaufman, D. R., Albright, A., Cheng, J. D., Kang, S. P., Shankaran, V., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci91190 · Cited by 3,788
Rosenberg, J. E., Hoffman-Censits, J., Powles, T., van der Heijden, M. S., Balar, A. V., Necchi, A., Dawson, N., O'Donnell, P. H., Balmanoukian, A., Loriot, Y., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00561-4 · Cited by 3,669
PD-1 Blockade with Nivolumab in Relapsed or Refractory Hodgkin's Lymphoma
Ansell, S. M., Lesokhin, A. M., Borrello, I., Halwani, A. S., Scott, E. C., Gutierrez, M. E., Schuster, S. J., Millenson, M. M., Cattry, D., Freeman, G. J., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1411087 · Cited by 3,621
Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden
Chalmers, Z. R., Connelly, C. F., Fabrizio, D., Gay, L., Ali, S. M., Ennis, R., Schrock, A., Campbell, B., Shlien, A., Chmielecki, J., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0424-2 · Cited by 3,519
Mok, T. S. K., Wu, Y.-L. L. C., Kudaba, I., Kowalski, D. M., Cho, B. C., Turna, H. Z., de Castro, G., Srimuninnimit, V., Лактионов, К. К., Bondarenko, I., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32409-7 · Cited by 3,357
Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
Zaretsky, J. M., Garcia-Diaz, A., Shin, D. S., Escuin-Ordinas, H., Hugo, W., Hu-Lieskovan, S., Torrejon, D. Y., Abril-Rodriguez, G., Sandoval, S., Barthly, L., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1604958 · Cited by 3,237
Tumor mutational burden and response rate to PD-1 inhibition
Yarchoan, M., Hopkins, A., & Jaffee, E. M. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1713444 · Cited by 3,230
The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients
Matson, V., Fessler, J., Bao, R., Chongsuwat, T., Zha, Y., Alegre, M.-L., Luke, J. J., & Gajewski, T. F. (2018) · Science · doi:10.1126/science.aao3290 · Cited by 3,107
Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade
McGranahan, N., Furness, A. J. S., Rosenthal, R., Ramskov, S., Lyngaa, R., Saini, S. K., Jamal-Hanjani, M., Wilson, G. A., Birkbak, N. J., Hiley, C. T., et al. (2016) · Science · doi:10.1126/science.aaf1490 · Cited by 3,065
Genomic correlates of response to CTLA-4 blockade in metastatic melanoma
Van Allen, E. M., Miao, D., Schilling, B., Shukla, S. A., Blank, C., Zimmer, L., Sucker, A., Hillen, U., Geukes Foppen, M. H., Goldinger, S. M., et al. (2015) · Science · doi:10.1126/science.aad0095 · Cited by 2,839
Nivolumab and ipilimumab versus ipilimumab in untreated melanoma
Postow, M. A., Chesney, J., Pavlick, A. C., Robert, C., Grossmann, K., McDermott, D., Linette, G. P., Meyer, N., Giguere, J. K., Agarwala, S. S., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1414428 · Cited by 2,781
First-Line Nivolumab in Stage IV or Recurrent Non–Small-Cell Lung Cancer
Carbone, D. P., Reck, M., Paz-Ares, L., Creelan, B., Horn, L., Steins, M., Felip, E., van den Heuvel, M. M., Ciuleanu, T.-E., Badin, F., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1613493 · Cited by 2,503
Pan-tumor genomic biomarkers for PD-1 checkpoint blockade–based immunotherapy
Cristescu, R., Mogg, R., Ayers, M., Albright, A., Murphy, E., Yearley, J., Sher, X., Liu, X. Q., Lu, H., Nebozhyn, M., et al. (2018) · Science · doi:10.1126/science.aar3593 · Cited by 2,301
The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy
Havel, J. J., Chowell, D., & Chan, T. A. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0116-x · Cited by 2,286
Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers
Goodman, A. M., Kato, S., Bazhenova, L., Patel, S. P., Frampton, G. M., Miller, V., Stephens, P. J., Daniels, G. A., & Kurzrock, R. (2017) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-17-0386 · Cited by 2,264
Pagès, F., Mlecnik, B., Marliot, F., Bindea, G., Ou, F.-S., Bifulco, C., Lugli, A., Zlobec, I., Rau, T. T., Berger, M. D., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30789-x · Cited by 2,075
Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.038 · Cited by 2,053
Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., Hein, A., Rote, N. S., Cope, L. M., Snyder, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.011 · Cited by 2,022
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Azizi, E., Carr, A. J., Plitas, G., Cornish, A. E., Konopacki, C., Prabhakaran, S., Nainys, J., Wu, K., Kiseliovas, V., Setty, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.060 · Cited by 1,976
Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens
Gubin, M. M., Zhang, X., Schuster, H., Caron, E., Ward, J. P., Noguchi, T., Ivanova, Y., Hundal, J., Arthur, C. D., Krebber, W.-J., et al. (2014) · Nature · doi:10.1038/nature13988 · Cited by 1,974
STING-Dependent Cytosolic DNA Sensing Mediates Innate Immune Recognition of Immunogenic Tumors
Woo, S.-R., Fuertes, M. B., Corrales, L., Spranger, S., Furdyna, M. J., Leung, M. Y. K., Duggan, R., Wang, Y., Barber, G. N., Fitzgerald, K. A., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.10.017 · Cited by 1,917
Seiwert, T. Y., Burtness, B., Mehra, R., Weiss, J., Berger, R., Eder, J. P., Heath, K., McClanahan, T., Lunceford, J., Gause, C., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30066-3 · Cited by 1,745
Kim, S. T., Cristescu, R., Bass, A. J., Kim, K., Odegaard, J. I., Kim, K., Liu, X. Q., Sher, X., Jung, H., Lee, M.-J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0101-z · Cited by 1,680
Spranger, S., Spaapen, R. M., Zha, Y., Williams, J., Meng, Y., Ha, T. T., & Gajewski, T. F. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006504 · Cited by 1,677
STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS -Mutant Lung Adenocarcinoma
Skoulidis, F., Goldberg, M. E., Greenawalt, D. M., Hellmann, M. D., Awad, M. M., Gainor, J. F., Schrock, A. B., Hartmaier, R. J., Trabucco, S. E., Gay, L., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0099 · Cited by 1,641
CDK4/6 inhibition triggers anti-tumour immunity
Goel, S., DeCristo, M. J., Watt, A. C., BrinJones, H., Sceneay, J., Li, B. B., Khan, N., Ubellacker, J. M., Xie, S., Metzger-Filho, O., et al. (2017) · Nature · doi:10.1038/nature23465 · Cited by 1,513
A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade
Jerby-Arnon, L., Shah, P., Cuoco, M. S., Rodman, C., Su, M.-J., Melms, J. C., Leeson, R., Kanodia, A., Mei, S., Lin, J.-R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.006 · Cited by 1,429
Balar, A. V., Castellano, D., O’Donnell, P. H., Grivas, P. D., Vuky, J., Powles, T. B., Plimack, E. R., Hahn, N. M., de Wit, R., Pang, L., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30616-2 · Cited by 1,351
Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade
Wei, S. C., Levine, J. H., Cogdill, A. P., Zhao, Y., Anang, N.-A. A. S., Andrews, M. C., Sharma, P., Wang, J., Wargo, J. A., Pe’er, D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.024 · Cited by 1,302
Hirsch, F. R., McElhinny, A., Stanforth, D., Ranger‐Moore, J., Jansson, M., Kulangara, K., Richardson, W., Towne, P., Hanks, D. A., Vennapusa, B., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2016.11.2228 · Cited by 1,287
McDermott, D. F., Huseni, M. A., Atkins, M. B., Motzer, R. J., Rini, B. I., Escudier, B., Fong, L., Joseph, R. W., Pal, S. K., Reeves, J. A., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0053-3 · Cited by 1,260
PD-1 Blockade with pembrolizumab in advanced Merkel-cell carcinoma
Nghiem, P. T., Bhatia, S., Lipson, E. J., Kudchadkar, R. R., Miller, N. J., Annamalai, L., Berry, S., Chartash, E. K., Daud, A., Fling, S. P., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1603702 · Cited by 1,258
Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma
Miao, D., Margolis, C. A., Gao, W., Voss, M. H., Li, W., Martini, D. J., Norton, C., Bossé, D., Wankowicz, S. M., Cullen, D., et al. (2018) · Science · doi:10.1126/science.aan5951 · Cited by 1,249
Kaufman, H. L., Russell, J., Hamid, O., Bhatia, S., Terheyden, P., D'Angelo, S. P., Shih, K. C., Lebbé, C., Linette, G. P., Milella, M., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30364-3 · Cited by 1,236
Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer
Initiative, A. P. C. G., Balachandran, V. P., Łuksza, M., Zhao, J. N., Makarov, V., Moral, J. A., Remark, R., Herbst, B., Askan, G., Bhanot, U., et al. (2017) · Nature · doi:10.1038/nature24462 · Cited by 1,191
Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy
Chowell, D., Morris, L. G. T., Grigg, C. M., Weber, J. K., Samstein, R. M., Makarov, V., Kuo, F., Kendall, S. M., Requena, D., Riaz, N., et al. (2018) · Science · doi:10.1126/science.aao4572 · Cited by 1,142
HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures
Davies, H., Glodzik, D., Morganella, S., Yates, L. R., Staaf, J., Zou, X., Ramakrishna, M., Martin, S., Boyault, S., Sieuwerts, A. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4292 · Cited by 1,086
Chung, H. C., Ros, W., Delord, J., Perets, R., Italiano, A., Shapira‐Frommer, R., Manzuk, L., Piha-Paul, S. A., Xu, L., Zeigenfuss, S., et al. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.18.01265 · Cited by 1,075
Monitoring immune-checkpoint blockade: response evaluation and biomarker development
Nishino, M., Ramaiya, N. H., Hatabu, H., & Hodi, F. S. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.88 · Cited by 1,023
Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP to control cancer immune surveillance
Zhang, J., Bu, X., Wang, H., Zhu, Y., Geng, Y., Nihira, N. T., Tan, Y., Ci, Y., Wu, F., Dai, X., et al. (2018) · Nature · doi:10.1038/nature25015 · Cited by 1,013
Classification and characterization of microsatellite instability across 18 cancer types
Hause, R. J., Pritchard, C. C., Shendure, J., & Salipante, S. J. (2016) · Nature Medicine · doi:10.1038/nm.4191 · Cited by 982
Ott, P. A., Bang, Y.-J., Piha-Paul, S. A., Razak, A. R. A., Bennouna, J., Soria, J.-C., Rugo, H. S., Cohen, R. B., O’Neil, B. H., Mehnert, J. M., et al. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.2018.78.2276 · Cited by 969
Self-citationTurajlic, S., Litchfield, K., Xu, H., Rosenthal, R., McGranahan, N., Reading, J. L., Wong, Y. N. S., Rowan, A., Kanu, N., Bakir, M. A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30516-8 · Cited by 967
Derosa, L., Hellmann, M. D., Spaziano, M., Halpenny, D., Fidelle, M., Rizvi, H., Long, N., Plodkowski, A. J., Arbour, K. C., Chaft, J. E., et al. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy103 · Cited by 908
Hellmann, M. D., Callahan, M. K., Awad, M. M., Calvo, E., Ascierto, P. A., Atmaca, A., Rizvi, N. A., Hirsch, F. R., Selvaggi, G., Szustakowski, J. D., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.04.001 · Cited by 900
A major chromatin regulator determines resistance of tumor cells to T cell–mediated killing
Pan, D., Kobayashi, A., Jiang, P., Ferrari de Andrade, L., Tay, R. E., Luoma, A. M., Tsoucas, D., Qiu, X., Lim, K., Rao, P., et al. (2018) · Science · doi:10.1126/science.aao1710 · Cited by 852
Contribution of NK cells to immunotherapy mediated by PD-1/PD-L1 blockade
Hsu, J., Hodgins, J. J., Marathe, M., Nicolai, C. J., Bourgeois-Daigneault, M.-C., Trevino, T. N., Azimi, C. S., Scheer, A. K., Randolph, H. E., Thompson, T. W., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci99317 · Cited by 817
The microbiome in cancer immunotherapy: Diagnostic tools and therapeutic strategies
Zitvogel, L., Ma, Y., Raoult, D., Kroemer, G., & Gajewski, T. F. (2018) · Science · doi:10.1126/science.aar6918 · Cited by 777
CDK4/6 Inhibition Augments Antitumor Immunity by Enhancing T-cell Activation
Deng, J., Wang, E. S., Jenkins, R. W., Li, S., Dries, R., Yates, K., Chhabra, S., Huang, W., Liu, H., Aref, A. R., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0915 · Cited by 770 · cited 2×
“…suggesting that to other studies that have independently implicated CDK4/6 inhibitors as a potential strategy to increase tumor immunogenicity (Deng et al. 2018, Goel et al. 2017, Schaer et al. 2018, Zhang et al. 2018), and several clinical trials exploring the combination of CDK4 6…”
ResultBiomarkers for predicting efficacy of PD-1/PD-L1 inhibitors
Yi, M., Jiao, D., Xu, H., Liu, Q., Zhao, W., Han, X., & Wu, K. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0864-3 · Cited by 764
Bensch, F., van der Veen, E. L., Hooge, M. N. L., Jorritsma‐Smit, A., Boellaard, R., Kok, I. C., Oosting, S. F., Schroder, C. P., Hiltermann, T. J. N., van der Wekken, A. J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0255-8 · Cited by 749
High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy
Krieg, C., Nowicka, M., Guglietta, S., Schindler, S., Hartmann, F. J., Weber, L. M., Dummer, R., Robinson, M. D., Levesque, M. P., & Becher, B. (2018) · Nature Medicine · doi:10.1038/nm.4466 · Cited by 735
Härtlova, A., Erttmann, S. F., Raffi, F. A., Schmalz, A. M., Resch, U., Anugula, S., Lienenklaus, S., Nilsson, L. M., Kröger, A., Nilsson, J. A., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.01.012 · Cited by 716
Lakhani, S. R., Jacquemier, J., Sloane, J. P., Gusterson, B. A., Anderson, T. J., van de Vijver, M. J., Farid, L. M., Venter, D., Antoniou, A., Storfer-Isser, A., et al. (1998) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/90.15.1138 · Cited by 707
Sharma, P., Callahan, M. K., Bono, P., Kim, J. W., Spiliopoulou, P., Calvo, E., Pillai, R. N., Ott, P. A., de Braud, F., Morse, M. A., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30496-x · Cited by 681
DNA Damage and Repair Biomarkers of Immunotherapy Response
Mouw, K. W., Goldberg, M. S., Konstantinopoulos, P. A., & D’Andrea, A. D. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0226 · Cited by 664
A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy
Łuksza, M., Riaz, N., Makarov, V., Balachandran, V. P., Hellmann, M. D., Solovyov, A., Rizvi, N. A., Merghoub, T., Levine, A. J., Chan, T. A.-T., et al. (2017) · Nature · doi:10.1038/nature24473 · Cited by 655
Strickland, K. C., Howitt, B. E., Shukla, S. A., Rodig, S. J., Ritterhouse, L. L., Liu, J. F., Garber, J. E., Chowdhury, D., Wu, C. J., D’Andrea, A. D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.7277 · Cited by 630
Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab
Weide, B., Martens, A., Hassel, J. C., Berking, C., Postow, M. A., Bisschop, K., Simeone, E., Mangana, J., Schilling, B., Di Giacomo, A. M., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0127 · Cited by 589
Rodig, S. J., Gusenleitner, D., Jackson, D. G., Gjini, E., Giobbie-Hurder, A., Jin, C., Chang, H., Lovitch, S. B., Horak, C., Weber, J. S., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aar3342 · Cited by 579
Efficacy of PD-1 or PD-L1 inhibitors and PD-L1 expression status in cancer: meta-analysis
Shen, X., & Zhao, B. (2018) · BMJ · doi:10.1136/bmj.k3529 · Cited by 567
Martens, A., Wistuba-Hamprecht, K., Foppen, M. G., Yuan, J., Postow, M. A., Wong, P., Romano, E., Khammari, A., Dreno, B., Capone, M., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2412 · Cited by 541
Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer
Niemeijer, A.-L. N., Leung, D. K.-W., Huisman, M. C., Bahce, I., Hoekstra, O. S., van Dongen, G. A. M. S., Boellaard, R., Du, S., Hayes, W., Smith, R., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07131-y · Cited by 489
Hsu, C., Lee, S., Ejadi, S., Even, C., Cohen, R. B., Tourneau, C. L., Mehnert, J. M., Algazi, A. P., van Brummelen, E. M. J., Saraf, S., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2017.73.3675 · Cited by 471
Self-citationSchaer, D. A., Beckmann, R. P., Dempsey, J. A., Huber, L., Forest, A., Amaladas, N., Li, Y., Wang, Y. C., Rasmussen, E. R., Chin, D., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.053 · Cited by 469
Prat, A., Navarro, A., Paré, L., Reguart, N., Galván, P., Pascual, T., Martínez, A., Nuciforo, P., Comerma, L., Alos, L., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-3556 · Cited by 455
Ma, B. B. Y., Lim, W., Goh, B. C., Hui, E. P., Lo, K. W., Pettinger, A. M., Foster, N. R., Riess, J. W., Agulnik, M., Chang, A. Y., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.0388 · Cited by 453
Edwards, J. J., Wilmott, J. S., Madore, J., Gide, T. N., Quek, C. Y. J., Tasker, A. T., Ferguson, A. L., Chen, J., Hewavisenti, R., Hersey, P., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2257 · Cited by 448
Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma
Chan, T. A.-T., Wolchok, J. D., & Snyder, A. (2015) · New England Journal of Medicine · doi:10.1056/nejmc1508163 · Cited by 420
Goh, G., Walradt, T. J., Markarov, V., Blom, A., Riaz, N., Doumani, R., Stafstrom, K., Moshiri, A. S., Yelistratova, L., Levinsohn, J. L., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.6494 · Cited by 396
Immunogenic neoantigens derived from gene fusions stimulate T cell responses
Yang, W., Lee, K.-W., Srivastava, R. M., Kuo, F., Krishna, C., Chowell, D., Makarov, V., Hoen, D. R., Dalin, M. G., Wexler, L. H., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0434-2 · Cited by 381
Immune activation and response to pembrolizumab in POLE-mutant endometrial cancer
Mehnert, J. M., Panda, A., Zhong, J., Hirshfield, K. M., Damare, S., Lane, K., Sokol, L. O., Stein, M. N., Rodriguez-Rodriquez, L., Kaufman, H. L., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci84940 · Cited by 376
Self-citationA panoply of errors: polymerase proofreading domain mutations in cancer
Rayner, E., van Gool, I. C., Palles, C., Kearsey, S. E., Bosse, T., Tomlinson, I. P. M., & Church, D. N. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2015.12 · Cited by 374
POLE Proofreading Mutations Elicit an Antitumor Immune Response in Endometrial Cancer
van Gool, I. C., Eggink, F. A., Freeman-Mills, L., Stelloo, E., Marchi, E., de Bruyn, M., Palles, C., Nout, R. A., de Kroon, C. D., Osse, E. M., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0057 · Cited by 323
EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer
Wang, L., Saci, A., Szabo, P. M., Chasalow, S. D., Castillo-Martin, M., Domingo-Domenech, J., Siefker-Radtke, A., Sharma, P., Sfakianos, J. P., Gong, Y., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05992-x · Cited by 313
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Su, S., Zhao, J., Xing, Y., Zhang, X., Liu, J., Ouyang, Q., Chen, J., Su, F., Liu, Q., & Song, E. (2018) · Cell · doi:10.1016/j.cell.2018.09.007 · Cited by 309
Diem, S., Kasenda, B., Spain, L., Martin-Liberal, J., Marconcini, R., Gore, M., & Larkin, J. (2016) · British Journal of Cancer · doi:10.1038/bjc.2015.467 · Cited by 308
Endogenous retroviral signatures predict immunotherapy response in clear cell renal cell carcinoma
Smith, C. C., Beckermann, K. E., Bortone, D. S., De Cubas, A. A., Bixby, L. M., Lee, S. J., Panda, A., Ganesan, S., Bhanot, G., Wallen, E. M., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci121476 · Cited by 303
Self-citationGut microbiota modulate T cell trafficking into human colorectal cancer
Cremonesi, E., Governa, V., Garzon, J. F. G., Mele, V., Amicarella, F., Muraro, M. G., Trella, E., Galati-Fournier, V., Oertli, D., Däster, S. R., et al. (2018) · Gut · doi:10.1136/gutjnl-2016-313498 · Cited by 275
Basavanhally, A. N., Ganesan, S., Agner, S. C., Monaco, J., Feldman, M. D., Tomaszewski, J. E., Bhanot, G., & Madabhushi, A. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2035305 · Cited by 272
Self-citationImmune Cytolytic Activity Stratifies Molecular Subsets of Human Pancreatic Cancer
Balli, D., Rech, A. J., Stanger, B. Z., & Vonderheide, R. H. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-2128 · Cited by 240
Stadler, Z. K., Battaglin, F., Middha, S., Hechtman, J. F., Tran, C., Cercek, A., Yaeger, R. D., Segal, N. H., Varghese, A. M., Reidy‐Lagunes, D. L., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.65.1067 · Cited by 238
Rapid Progression of Adult T-Cell Leukemia–Lymphoma after PD-1 Inhibitor Therapy
Ratner, L., Waldmann, T. A., Janakiram, M., & Brammer, J. E. (2018) · New England Journal of Medicine · doi:10.1056/nejmc1803181 · Cited by 229
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Self-citationActivity of pembrolizumab in relapsed/refractory NK/T-cell lymphoma
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Subrahmanyam, P. B., Dong, Z., Gusenleitner, D., Giobbie-Hurder, A., Severgnini, M., Zhou, J., Manos, M., Eastman, L. M., Maecker, H. T., & Hodi, F. S. (2018) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-018-0328-8 · Cited by 190
Wong, P. F., Wei, W., Smithy, J. W., Ács, B., Toki, M. I., Blenman, K., Zelterman, D. A., Kluger, H. M., & Rimm, D. L. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-2652 · Cited by 185
Panda, A., de Cubas, A. A., Stein, M., Riedlinger, G., Kra, J., Mayer, T., Smith, C. C., Vincent, B. G., Serody, J. S., Beckermann, K. E., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.121522 · Cited by 181
Self-citationLoi, S., Adams, S., Schmid, P., Cortés, J., Cescon, D. W., Winer, E. P., Toppmeyer, D., Rugo, H. S., Laurentiis, M. D., Nanda, R., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx440.005 · Cited by 180
PD-L1 Testing in Guiding Patient Selection for PD-1/PD-L1 Inhibitor Therapy in Lung Cancer
Hunter, K. A., Socinski, M. A., & Villaruz, L. C. (2017) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-017-0308-6 · Cited by 178
Zhang, Y. X., & Chen, L. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.2450 · Cited by 168
Recurrent SERPINB3 and SERPINB4 mutations in patients who respond to anti-CTLA4 immunotherapy
Riaz, N., Havel, J. J., Kendall, S. M., Makarov, V., Walsh, L. A., Desrichard, A., Weinhold, N., & Chan, T. A.-T. (2016) · Nature Genetics · doi:10.1038/ng.3677 · Cited by 151
Cytolytic Activity Score to Assess Anticancer Immunity in Colorectal Cancer
Narayanan, S., Kawaguchi, T., Yan, L., Peng, X., Qi, Q., & Takabe, K. (2018) · Annals of Surgical Oncology · doi:10.1245/s10434-018-6506-6 · Cited by 151
Relapse or Eradication of Cancer Is Predicted by Peptide-Major Histocompatibility Complex Affinity
Engels, B., Engelhard, V. H., Sidney, J., Sette, A., Binder, D. C., Liu, R. B., Kranz, D. M., Meredith, S. C., Rowley, D. A., & Schreiber, H. W. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.03.018 · Cited by 149
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Kumar, D., Lisok, A., Dahmane, E., McCoy, M., Shelake, S., Chatterjee, S., Allaj, V., Sysa‐Shah, P., Wharram, B. L., Lesniak, W. G., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci122216 · Cited by 138
Successful Treatment of HIV-Associated Kaposi Sarcoma with Immune Checkpoint Blockade
Galanina, N., Goodman, A. M., Cohen, P. R., Frampton, G. M., & Kurzrock, R. (2018) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-18-0121 · Cited by 126
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Heitzer, E., & Tomlinson, I. P. M. (2014) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2013.12.005 · Cited by 121
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Gong, J., Chehrazi‐Raffle, A., Placencio-Hickok, V., Guan, M., Hendifar, A. E., & Salgia, R. (2019) · Clinical and Translational Medicine · doi:10.1186/s40169-019-0225-x · Cited by 112
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Solinas, C., Garaud, S., Silva, P. D., Boisson, A., den Eynden, G. V., de Wind, A., RISSO, P., Vitória, J. R., Richard, F., Migliori, E., et al. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01412 · Cited by 106
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Wang, Y., Shi, C., Eisenberg, R., & Vnencak‐Jones, C. L. (2016) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2016.07.008 · Cited by 97
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Conroy, J. M., Pabla, S., Nesline, M., Glenn, S. T., Papanicolau‐Sengos, A., Burgher, B., Andreas, J., Giamo, V., Wang, Y., Lenzo, F. L., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-018-0489-5 · Cited by 90
Boichard, A., Tsigelny, I. F., & Kurzrock, R. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1284719 · Cited by 75
Takada, K., Toyokawa, G., Shoji, F., Okamoto, T., & Maehara, Y. (2017) · Clinical Lung Cancer · doi:10.1016/j.cllc.2017.10.014 · Cited by 75
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Schadendorf, D., Nghiem, P., Bhatia, S., Hauschild, A., Saïag, P., Mahnke, L. A., Hariharan, S., & Kaufman, H. L. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1338237 · Cited by 66
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Park, V. S., & Pursell, Z. F. (2019) · DNA repair · doi:10.1016/j.dnarep.2019.02.007 · Cited by 63
Heeren, A. M., Rotman, J., Stam, A. G. M., Pocorni, N., Gassama, A. A., Samuels, S., Bleeker, M. C. G., Mom, C. H., Zijlmans, H. J. M. A. A., Kenter, G. G., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0526-z · Cited by 60
Deinlein, T., Lax, S., Schwarz, T., Giuffrida, R., Schmid‐Zalaudek, K., & Zalaudek, I. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2017.06.022 · Cited by 49
Varn, F. S., Wang, Y., & Cheng, C. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1513440 · Cited by 33
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Johnson, D. B., & Dahlman, K. B. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1795 · Cited by 26
Research works printed but not linked: 7
- Behr DS, 2014, Int. J. Clin. Exp. Pathol., 7, 7610
- Erber R, 2017, Anticancer Res, 37, 6771
- Loi S, 2019, Cancer Res, 79, P3
- Middha S, 2019, JCO Precis. Oncol., 3
- Middha S, 2017, JCO Precis. Oncol., 1
- Panda A, 2017, JCO Precis. Oncol., 1
- Surace M, 2019, J. Vis. Exp., 143, e58390
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Metadata
- Authors
- Ganesan, S., & Mehnert, J.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Venue
- Annual Review of Cancer Biology
- Publisher
- Annual Reviews
- Published
- 2020-03-09
- Volume
- 4
- Issue
- 1
- Pages
- 331-351
- ISSN
- 2472-3428 (ISSN-L)
- OpenAlex
- W2994573450
- Cited by
- 51
- References
- 129
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 10 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 3
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Cancer Biology (publishedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- immune checkpoint blockade, predictive biomarkers, treatment response, immune-related adverse events, patient selection, tumor immune microenvironment, immune cell infiltration, gut microbiota, tumor mutational burden, viral infection, immune resistance mechanisms
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