Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab
Open accessAbstract
The mechanisms by which immune checkpoint blockade modulates tumor evolution during therapy are unclear. We assessed genomic changes in tumors from 68 patients with advanced melanoma, who progressed on ipilimumab or were ipilimumab-naive, before and after nivolumab initiation (CA209-038 study). Tumors were analyzed by whole-exome, transcriptome, and/or T cell receptor (TCR) sequencing. In responding patients, mutation and neoantigen load were reduced from baseline, and analysis of intratumoral heterogeneity during therapy demonstrated differential clonal evolution within tumors and putative selection against neoantigenic mutations on-therapy. Transcriptome analyses before and during nivolumab therapy revealed increases in distinct immune cell subsets, activation of specific transcriptional networks, and upregulation of immune checkpoint genes that were more pronounced in patients with response. Temporal changes in intratumoral TCR repertoire revealed expansion of T cell clones in the setting of neoantigen loss. Comprehensive genomic profiling data in this study provide insight into nivolumab's mechanism of action.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
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 · see citing works
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
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 · see citing works
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 15,314 · see citing works
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 13,105 · see citing works
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 · see citing works
Self-citationInferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778 · see citing works
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 · see citing works
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 · see citing works
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447 · see citing works
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 · see citing works
Self-citationPD-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 · see citing works
Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
Motzer, R. J., Escudier, B., McDermott, D. F., George, S., Hammers, H. J., Srinivas, S., Tykodi, S. S., Sosman, J. A., Procopio, G., Plimack, E. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510665 · Cited by 5,807 · see citing works
Nivolumab in Previously Untreated Melanoma without <i>BRAF</i> Mutation
Robert, C., Long, G. V., Brady, B., Dutriaux, C., Maio, M., Mortier, L., Hassel, J. C., Rutkowski, P., McNeil, C., Kalinka-Warzocha, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1412082 · Cited by 5,519 · see citing works
Self-citationPredictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Herbst, R. S., Soria, J.-C., Kowanetz, M., Fine, G. D., Hamid, O., Gordon, M. S., Sosman, J. A., McDermott, D. F., Powderly, J. D., Gettinger, S. N., et al. (2014) · Nature · doi:10.1038/nature14011 · Cited by 5,231 · see citing works
Self-citationNivolumab 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 · see citing works
Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples
Cibulskis, K., Lawrence, M. S., Carter, S. L., Sivachenko, A., Jaffe, D. B., Sougnez, C. L., Gabriel, S., Meyerson, M. M., Lander, E. S., & Getz, G. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2514 · Cited by 4,838 · see citing works
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencingPreprint
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., Miller, C. A., Mardis, E. R., Ding, L., & Wilson, R. K. (2012) · Genome Research · doi:10.1101/gr.129684.111 · Cited by 4,822 · see citing works
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783 · see citing works
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 · see citing works
Self-citationMolecular 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 · see citing works
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 · see citing works
Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.065 · Cited by 3,448 · see citing works
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 · see citing works
Wolchok, J. D., Hoos, A., O'Day, S. J., Weber, J. S., Hamid, O., Lebbé, C., Maio, M., Binder, M., Bohnsack, O., Nichol, G. M., et al. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-1624 · Cited by 3,214 · see citing works
Self-citationGenomic classification of cutaneous melanoma
Akbani, R., Akdemir, K. C., Aksoy, B. A., Albert, M., Ally, A., Amin, S. B., Arachchi, H., Arora, A., Auman, J. T., Ayala, B., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.044 · Cited by 3,151 · see citing works
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 · see citing works
Self-citationGenomic 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 · see citing works
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
Spranger, S., Bao, R., & Gajewski, T. F. (2015) · Nature · doi:10.1038/nature14404 · Cited by 2,830 · see citing works
Self-citationMechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy
Topalian, S. L., Taube, J. M., Anders, R. A., & Pardoll, D. M. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.36 · Cited by 2,733 · see citing works
T cell exclusion, immune privilege, and the tumor microenvironment
Joyce, J. A., & Fearon, D. T. (2015) · Science · doi:10.1126/science.aaa6204 · Cited by 2,494 · see citing works
PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity
Gordon, S. R., Maute, R. L., Dulken, B. W., Hutter, G., George, B. M., McCracken, M. N., Gupta, R., Tsai, J. M., Sinha, R., Corey, D., et al. (2017) · Nature · doi:10.1038/nature22396 · Cited by 2,247 · see citing works
Taube, J. M., Anders, R. A., Young, G. D., Xu, H., Sharma, R., McMiller, T. L., Chen, S., Klein, A. P., Pardoll, D. M., Topalian, S. L., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003689 · Cited by 2,157 · see citing works
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 · see citing works
Self-citationAbsolute quantification of somatic DNA alterations in human cancer
Carter, S. L., Cibulskis, K., Helman, E., McKenna, A., Shen, H., Zack, T. I., Laird, P. W., Onofrio, R. C., Winckler, W., Weir, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2203 · Cited by 2,003 · see citing works
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 · see citing works
Self-citationStrelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs
Saunders, C. T., Wong, W. S. W., Swamy, S., Becq, J., Murray, L. J., & Cheetham, R. K. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts271 · Cited by 1,589 · see citing works
Mutational analysis reveals the origin and therapy-driven evolution of recurrent glioma
Johnson, B. E., Mazor, T., Hong, C., Barnes, M., Aihara, K., McLean, C. Y., Fouse, S. D., Yamamoto, S., Ueda, H., Tatsuno, K., et al. (2014) · Science · doi:10.1126/science.1239947 · Cited by 1,362 · see citing works
Davoli, T., Uno, H., Wooten, E. C., & Elledge, S. J. (2017) · Science · doi:10.1126/science.aaf8399 · Cited by 1,325 · see citing works
Shen, R., & Seshan, V. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw520 · Cited by 1,263 · see citing works
Rosenthal, R., McGranahan, N., Herrero, J., Taylor, B. S., & Swanton, C. (2016) · Genome biology · doi:10.1186/s13059-016-0893-4 · Cited by 1,217 · see citing works
Comprehensive assessment of T-cell receptor β-chain diversity in αβ T cells
Robins, H. S., Campregher, P. V., Srivastava, S. K., Wacher, A., Turtle, C. J., Kahsai, O., Riddell, S. R., Warren, E. H., & Carlson, C. S. (2009) · Blood · doi:10.1182/blood-2009-04-217604 · Cited by 1,122 · see citing works
PI3Kγ is a molecular switch that controls immune suppression
Kaneda, M. M., Messer, K., Ralainirina, N., Li, H., Leem, C. J., Gorjestani, S., Woo, G., Nguyen, A. V., Figueiredo, C. C., Foubert, P., et al. (2016) · Nature · doi:10.1038/nature19834 · Cited by 1,118 · see citing works
Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
Nielsen, M., Lundegaard, C., Worning, P., Lauemøller, S. L., Lamberth, K., Buus, S., Brunak, S., & Lund, O. (2003) · Protein Science · doi:10.1110/ps.0239403 · Cited by 1,075 · see citing works
Mutations driving CLL and their evolution in progression and relapse
Landau, D. A., Tausch, E., Taylor-Weiner, A. N., Stewart, C., Reiter, J. G., Bahlo, J., Kluth, S., Božić, I., Lawrence, M. S., Böttcher, S., et al. (2015) · Nature · doi:10.1038/nature15395 · Cited by 1,065 · see citing works
PyClone: statistical inference of clonal population structure in cancer
Roth, A. J. L., Khattra, J. S., Yap, D., Wan, A. N. C., Laks, E., Biele, J., Ha, G., Aparicio, S. A. J. R., Bouchard‐Côté, A., & Shah, S. P. (2014) · Nature Methods · doi:10.1038/nmeth.2883 · Cited by 1,002 · see citing works
Chen, P.-L., Roh, W., Reuben, A., Cooper, Z. A., Spencer, C. N., Prieto, P. A., Miller, J. P., Bassett, R. L., Gopalakrishnan, V., Wani, K., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-1545 · Cited by 988 · see citing works
Self-citationA Direct Estimate of the Human αβ T Cell Receptor Diversity
Arstila, T. P., Casrouge, A., Baron, V., Even, J., Kanellopoulos, J., & Kourilsky, P. (1999) · Science · doi:10.1126/science.286.5441.958 · Cited by 931 · see citing works
Clonal evolution of glioblastoma under therapy
Wang, J., Cazzato, E., Ladewig, E., Frattini, V., Rosenbloom, D. I. S., Zairis, S., Abate, F., Liu, Z., Elliott, O., Shin, Y., et al. (2016) · Nature Genetics · doi:10.1038/ng.3590 · Cited by 759 · see citing works
Clonal status of actionable driver events and the timing of mutational processes in cancer evolution
McGranahan, N., Favero, F., de Bruin, E. C., Birkbak, N. J., Szallasi, Z., & Swanton, C. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa1408 · Cited by 685 · see citing works
Fisher, S., Barry, A. J., Abreu, J., Minie, B., Nolan, J., Delorey, T. M., Young, G., Fennell, T. J., Allen, A., Ambrogio, L., et al. (2011) · Genome biology · doi:10.1186/gb-2011-12-1-r1 · Cited by 683 · see citing works
Standardizing methods to address clonality in population studies
Arnaud‐Haond, S., Duarte, C. M., Alberto, F., & Serrão, E. Á. (2007) · Molecular Ecology · doi:10.1111/j.1365-294x.2007.03535.x · Cited by 654 · see citing works
SomaticSniper: identification of somatic point mutations in whole genome sequencing data
Larson, D. E., Harris, C. C., Chen, K., Koboldt, D. C., Abbott, T. E., Dooling, D. J., Ley, T. J., Mardis, E. R., Wilson, R. K., & Ding, L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr665 · Cited by 640 · see citing works
Using synthetic templates to design an unbiased multiplex PCR assay
Carlson, C. S., Emerson, R., Sherwood, A., Desmarais, C., Chung, M., Parsons, J. M., Steen, M. S., LaMadrid-Herrmannfeldt, M., Williamson, D. W., Livingston, R. J., et al. (2013) · Nature Communications · doi:10.1038/ncomms3680 · Cited by 568 · see citing works
Larkin, J., Minor, D. R., D’Angelo, S. P., Neyns, B., Smylie, M., Miller, W. H., Gutzmer, R., Linette, G. P., Chmielowski, B., Lao, C. D., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2016.71.8023 · Cited by 517 · see citing works
Self-citationCombination Therapy with Anti–CTLA-4 and Anti–PD-1 Leads to Distinct Immunologic Changes In Vivo
Das, R., Verma, R., Sznol, M., Boddupalli, C. S., Gettinger, S. N., Kluger, H. M., Callahan, M. K., Wolchok, J. D., Halaban, R., Dhodapkar, M. V., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1401686 · Cited by 465 · see citing works
Neoantigen landscape dynamics during human melanoma–T cell interactions
Verdegaal, E. M. E., de Miranda, N. F. C. C., Visser, M., Harryvan, T. J., van Buuren, M. M., Andersen, R. S., Hadrup, S. R., van der Minne, C. E., Schotte, R., Spits, H., et al. (2016) · Nature · doi:10.1038/nature18945 · Cited by 464 · see citing works
Molecular Drivers of the Non–T-cell-Inflamed Tumor Microenvironment in Urothelial Bladder Cancer
Sweis, R. F., Spranger, S., Bao, R., Paner, G. P., Stadler, W. M., Steinberg, G. D., & Gajewski, T. F. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-15-0274 · Cited by 351 · see citing works
Self-citationPan-cancer analysis of intratumor heterogeneity as a prognostic determinant of survival
Morris, L. G. T., Riaz, N., Desrichard, A., Şenbabaoğlu, Y., Hakimi, A. A., Makarov, V., Reis-Filho, J. S., & Chan, T. A.-T. (2016) · Oncotarget · doi:10.18632/oncotarget.7067 · Cited by 297 · see citing works
Self-citationTaube, J. M., Young, G. D., McMiller, T. L., Chen, S., Salas, J. T., Pritchard, T. S., Xu, H., Meeker, A. K., Fan, J., Cheadle, C., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0244 · Cited by 248 · see citing works
Weber, J., Gibney, G., Kudchadkar, R., Yu, B., Cheng, P., Martinez, A. J., Kroeger, J., Richards, A., McCormick, L., Moberg, V., et al. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-15-0193 · Cited by 248 · see citing works
Estimating the Diversity, Completeness, and Cross-Reactivity of the T Cell Repertoire
Zarnitsyna, V. I., Evavold, B. D., Schoettle, L. N., Blattman, J. N., & Antia, R. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00485 · Cited by 180 · see citing works
The role of neoantigens in response to immune checkpoint blockade
Riaz, N., Morris, L. G. T., Havel, J. J., Makarov, V., Desrichard, A., & Chan, T. A.-T. (2016) · International Immunology · doi:10.1093/intimm/dxw019 · Cited by 176 · see citing works
Self-citationSix, A., Mariotti‐Ferrandiz, E., Chaara, W., Magadán, S., Pham, H., Lefranc, M., Mora, T., Thomas‐Vaslin, V., Walczak, A. M., & Boudinot, P. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00413 · Cited by 169 · see citing works
Dynamics of the Cytotoxic T Cell Response to a Model of Acute Viral Infection
DeWitt, W. S., Emerson, R., Lindau, P., Vignali, M., Snyder, T. M., Desmarais, C., Sanders, C. M., Utsugi, H., Warren, E. H., McElrath, M. J., et al. (2015) · Journal of Virology · doi:10.1128/jvi.03474-14 · Cited by 161 · see citing works
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 149 · see citing works
Self-citationDiversity and divergence of the glioma-infiltrating T-cell receptor repertoire
Sims, J. S., Grinshpun, B., Feng, Y., Ung, T. H., Neira, J. A., Samanamud, J. L., Canoll, P., Shen, Y., Sims, P. A., & Bruce, J. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1601012113 · Cited by 103 · see citing works
Self-citationSalerno, E. P., Bedognetti, D., Mauldin, I. S., Deacon, D. H., Shea, S. M., Pinczewski, J., Obeid, J. M., Coukos, G., Wang, E., Gajewski, T. F., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1240857 · Cited by 96 · see citing works
Self-citationHodi, F. S., Kluger, H. M., Sznol, M., Carvajal, R. D., Lawrence, D. P., Atkins, M. B., Powderly, J. D., Sharfman, W. H., Puzanov, I. J., Smith, D., et al. (2016) · Cancer Research · doi:10.1158/1538-7445.am2016-ct001 · Cited by 80 · see citing works
Self-citationEstimating the ratio of CD4+ to CD8+ T cells using high-throughput sequence data
Emerson, R., Sherwood, A., Desmarais, C., Malhotra, S., Phippard, D., & Robins, H. S. (2013) · Journal of Immunological Methods · doi:10.1016/j.jim.2013.02.002 · Cited by 72 · see citing works
HLA Typing by SSO and SSP Methods
Dunckley, H. (2012) · Methods in molecular biology · doi:10.1007/978-1-61779-842-9_2 · Cited by 61 · see citing works
MAC: identifying and correcting annotation for multi-nucleotide variations
Wei, L., Liu, L. T., Conroy, J., Hu, Q., Conroy, J. M., Morrison, C. D., Johnson, C. S., Wang, J., & Liu, S. (2015) · BMC Genomics · doi:10.1186/s12864-015-1779-7 · Cited by 56 · see citing works
Yau, C. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt416 · Cited by 48 · see citing works
Weber, J. S., Horak, C. E., Hodi, F. S., Chang, H., Woods, D. M., Sanders, C. M., Robins, H. S., & Yusko, E. C. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw378.01 · Cited by 13 · see citing works
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Inflammation and cancer: triggers, mechanisms, and consequences
Greten, F. R., & Grivennikov, S. I. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.025 · Cited by 3,806 · see citing works
Approaches to treat immune hot, altered and cold tumours with combination immunotherapies
Galon, J., & Bruni, D. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0007-y · Cited by 3,414 · see citing works
CD8+ T cells regulate tumour ferroptosis during cancer immunotherapy
Wang, W., Green, M., Choi, J. E., Gijón, M., Kennedy, P. D., Johnson, J. K., Liao, P., Lang, X., Kryczek, I., Sell, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1170-y · Cited by 2,880 · see citing works
Self-citationDevelopment of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic
Chan, T. A., Yarchoan, M., Jaffee, E., Swanton, C., Quezada, S. A., Stenzinger, A., & Peters, S. (2019) · Annals of Oncology · doi:10.1093/annonc/mdy495 · Cited by 2,683 · see citing works
Self-citationTertiary lymphoid structures improve immunotherapy and survival in melanoma
Cabrita, R., Lauss, M., Sanna, A., Donia, M., Skaarup Larsen, M., Mitra, S., Johansson, I., Phung, B., Harbst, K., Vallon-Christersson, J., et al. (2020) · Nature · doi:10.1038/s41586-019-1914-8 · Cited by 2,374 · see citing works
Bagchi, S., Yuan, R., & Engleman, E. G. (2021) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-042020-042741 · Cited by 2,189 · see citing works
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 · see citing works
Self-citationDefining 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 · see citing works
Cancer immunoediting and resistance to T cell-based immunotherapy
O’Donnell, J. S., Teng, M. W. L., & Smyth, M. J. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0142-8 · Cited by 1,759 · see citing works
Hallmarks of response, resistance, and toxicity to immune checkpoint blockade
Morad, G., Helmink, B. A., Sharma, P., & Wargo, J. A. (2021) · Cell · doi:10.1016/j.cell.2021.09.020 · Cited by 1,648 · see citing works
Clonal replacement of tumor-specific T cells following PD-1 blockade
Yost, K. E., Satpathy, A. T., Wells, D. K., Qi, Y., Wang, C., Kageyama, R., McNamara, K. L., Granja, J. M., Sarin, K. Y., Brown, R. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0522-3 · Cited by 1,534 · see citing works
Self-citationFinotello, F., Mayer, C., Plattner, C., Laschober, G. T., Rieder, D., Hackl, H., Krogsdam, A., Loncová, Z., Posch, W., Wilflingseder, D., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0638-6 · Cited by 1,533 · see citing works
Tumour-intrinsic resistance to immune checkpoint blockade
Kalbasi, A. K., & Ribas, A. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0218-4 · Cited by 1,491 · see citing works
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 · see citing works
Self-citationConserved pan-cancer microenvironment subtypes predict response to immunotherapy
Bagaev, A., Kotlov, N., Nomie, K., Svekolkin, V., Gafurov, A., Isaeva, O., Osokin, N., Kozlov, I., Frenkel, F., Gancharova, O., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.04.014 · Cited by 1,302 · see citing works
The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker
Jardim, D. L., Goodman, A., de Melo Gagliato, D., & Kurzrock, R. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.10.001 · Cited by 1,192 · see citing works
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 · see citing works
Self-citationImmune checkpoint therapy—current perspectives and future directions
Sharma, P., Goswami, S., Raychaudhuri, D., Siddiqui, B. A., Singh, P., Nagarajan, A., Liu, J., Subudhi, S. K., Poon, C., Gant, K. L., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.006 · Cited by 1,206 · see citing works
Consensus guidelines for the definition, detection and interpretation of immunogenic cell death
Galluzzi, L., Vitale, I., Warren, S., Adjemian, S., Agostinis, P., Buqué, A., Chan, T. A.-T., Coukos, G., Demaria, S., Deutsch, É., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000337 · Cited by 1,151 · see citing works
Self-citationGide, T. N., Quek, C., Menzies, A. M., Tasker, A. T., Shang, P., Holst, J., Madore, J., Lim, S. Y., Velickovic, R., Wongchenko, M., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.01.003 · Cited by 1,047 · see citing works
Toward personalized treatment approaches for non-small-cell lung cancer
Wang, M., Herbst, R. S., & Boshoff, C. (2021) · Nature Medicine · doi:10.1038/s41591-021-01450-2 · Cited by 1,113 · see citing works
Luchini, C., Bibeau, F., Ligtenberg, M. J. L., Singh, N., Nottegar, A., Bosse, T., Miller, R. E., Riaz, N., Douillard, J.-Y., André, F., et al. (2019) · Annals of Oncology · doi:10.1093/annonc/mdz116 · Cited by 1,044 · see citing works
Self-citationLiu, D., Schilling, B., Liu, D., Sucker, A., Livingstone, E., Jerby-Arnon, L., Zimmer, L., Gutzmer, R., Satzger, I., Loquai, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0654-5 · Cited by 1,039 · see citing works
Tumour-associated neutrophils in patients with cancer
Shaul, M. E., & Fridlender, Z. G. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0222-4 · Cited by 1,044 · see citing works
Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Savas, P., Virassamy, B., Ye, C., Salim, A., Mintoff, C. P., Caramia, F., Salgado, R., Byrne, D. J., Teo, Z. L., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0078-7 · Cited by 992 · see citing works
CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer
Zhang, H., Deng, T., Liu, R., Ning, T., Yang, H., Liu, D., Zhang, Q., Lin, D., Ge, S., Bai, M., et al. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01168-8 · Cited by 1,023 · see citing works
Garris, C. S., Arlauckas, S. P., Kohler, R. H., Trefny, M. P., Garren, S., Piot, C., Engblom, C., Pfirschke, C., Siwicki, M., Gungabeesoon, J., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.09.024 · Cited by 966 · see citing works
Miao, Y., Zhang, Q., Lei, Q., Luo, M., Xie, G., Wang, H., & Guo, A. (2020) · Advanced Science · doi:10.1002/advs.201902880 · Cited by 962 · see citing works
Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition
Litchfield, K., Reading, J. L., Puttick, C., Thakkar, K., Abbosh, C., Bentham, R., Watkins, T. B. K., Rosenthal, R., Biswas, D., Rowan, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.01.002 · Cited by 893 · see citing works
A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer
Bassez, A., Vos, H., Van Dyck, L., Floris, G., Arijs, I., Desmedt, C., Boeckx, B., Vanden Bempt, M., Nevelsteen, I., Lambein, K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01323-8 · Cited by 867 · see citing works
Intratumoral heterogeneity in cancer progression and response to immunotherapy
Vitale, I., Shema, E., Loi, S., & Galluzzi, L. (2021) · Nature Medicine · doi:10.1038/s41591-021-01233-9 · Cited by 823 · see citing works
House, I. G., Savas, P., Lai, J., Chen, A. X. Y., Oliver, A. J., Teo, Z. L., Todd, K. L., Henderson, M. A., Giuffrida, L., Petley, E. V., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1868 · Cited by 790 · see citing works
Necchi, A., Anichini, A., Raggi, D., Briganti, A., Massa, S., Lucianò, R., Colecchia, M., Giannatempo, P., Mortarini, R., Bianchi, M., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.18.01148 · Cited by 741 · see citing works
Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
Auslander, N., Zhang, G., Lee, J. S., Frederick, D. T., Miao, B., Moll, T. O. C., Tian, T., Wei, Z., Madan, S., Sullivan, R. J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0157-9 · Cited by 743 · see citing works
Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing
Maynard, A., McCoach, C. E., Rotow, J. K., Harris, L., Haderk, F., Kerr, D. L., Yu, E. A., Schenk, E. L., Tan, W., Zee, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.017 · Cited by 697 · see citing works
Chakravarthy, A., Khan, L., Bensler, N. P., Bose, P., & De Carvalho, D. D. (2018) · Nature Communications · doi:10.1038/s41467-018-06654-8 · Cited by 656 · see citing works
Derosa, L., Routy, B., Thomas, A. M., Iebba, V., Zalcman, G., Friard, S., Mazieres, J., Audigier-Valette, C., Moro-Sibilot, D., Goldwasser, F., et al. (2022) · Nature Medicine · doi:10.1038/s41591-021-01655-5 · Cited by 685 · see citing works
Fares, C. M., Allen, E. M. V., Drake, C. G., Allison, J. P., & Hu‐Lieskovan, S. (2019) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_240837 · Cited by 648 · see citing works
Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade
Lu, S., Stein, J. E., Rimm, D. L., Wang, D. W., Bell, M. A., Johnson, D. B., Sosman, J. A., Schalper, K. A., Anders, R. A., Wang, H., et al. (2019) · JAMA Oncology · doi:10.1001/jamaoncol.2019.1549 · Cited by 618 · see citing works
The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
Petitprez, F., Meylan, M., de Reyniès, A., Sautès‐Fridman, C., & Fridman, W. H. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00784 · Cited by 604 · see citing works
The hallmarks of successful anticancer immunotherapy
Galluzzi, L., Chan, T. A., Kroemer, G., Wolchok, J. D., & López-Soto, A. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat7807 · Cited by 575 · see citing works
Self-citationPKCβII phosphorylates ACSL4 to amplify lipid peroxidation to induce ferroptosis
Zhang, H.-L., Hu, B., Li, Z.-L., Du, T., Shan, J.-L., Ye, Z.-X., Peng, X.-D., Li, X., Huang, Y., Zhu, X.-Y., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-021-00818-3 · Cited by 539 · see citing works
Schumacher, T. N., Scheper, W., & Kvistborg, P. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053402 · Cited by 578 · see citing works
Benci, J. L., Johnson, L. R., Choa, R., Xu, Y., Qiu, J., Zhou, Z., Xu, B., Ye, D., Nathanson, K. L., June, C. H., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.019 · Cited by 541 · see citing works
Luo, H., Xia, X., Huang, L., An, H., Cao, M., Kim, G. D., Chen, H., Zhang, W., Shu, Y., Kong, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34395-2 · Cited by 585 · see citing works
Combination Cancer Therapy with Immune Checkpoint Blockade: Mechanisms and Strategies
Patel, S. A., & Minn, A. J. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.007 · Cited by 574 · see citing works
The hallmarks of cancer immune evasion
Galassi, C., Chan, T. A.-T., Vitale, I., & Galluzzi, L. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.09.010 · Cited by 595 · see citing works
Self-citationInhibiting PD-L1 palmitoylation enhances T-cell immune responses against tumours
Yao, H., Lan, J., Li, C., Shi, H., Brosseau, J., Wang, H., Lu, H., Fang, C., Zhang, Y., Liang, L., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0375-6 · Cited by 572 · see citing works
IL4I1 Is a Metabolic Immune Checkpoint that Activates the AHR and Promotes Tumor Progression
Sadik, A., Patterson, L. F. S., Öztürk, S., Mohapatra, S. R., Panitz, V., Secker, P. F., Pfänder, P., Loth, S., Salem, H., Prentzell, M. T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.038 · Cited by 563 · see citing works
Mandal, R., Samstein, R. M., Lee, K.-W., Havel, J. J., Wang, H., Krishna, C., Sabio, E. Y., Makarov, V., Kuo, F., Blecua, P., et al. (2019) · Science · doi:10.1126/science.aau0447 · Cited by 549 · see citing works
Self-citationEpigenetic therapy in immune-oncology
Jones, P. A., Ohtani, H., Chakravarthy, A., & Carvalho, D. D. D. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0109-9 · Cited by 550 · see citing works
Schalper, K. A., Carleton, M. O., Zhou, M., Chen, T., Feng, Y., Huang, S., Walsh, A. M., Baxi, V. A., Pandya, D., Baradet, T. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0856-x · Cited by 550 · see citing works
Identification of neoantigens for individualized therapeutic cancer vaccines
Lang, F., Schrörs, B., Löwer, M., Türeci, Ö., & Şahin, U. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00387-y · Cited by 553 · see citing works
Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine
Campesato, L. F., Budhu, S., Tchaicha, J. H., Weng, C., Gigoux, M., Cohen, I., Redmond, D., Mangarin, L. M. B., Pourpe, S., Liu, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17750-z · Cited by 536 · see citing works
Motzer, R. J., Robbins, P. B., Powles, T., Albiges, L., Haanen, J. B., Larkin, J., Mu, X. J., Ching, K. A., Uemura, M., Pal, S. K., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1044-8 · Cited by 518 · see citing works
Merino, D. M., McShane, L. M., Fabrizio, D. A., Funari, V. A., Chen, S., White, J. R., Wenz, P., Baden, J. F., Barrett, J. C., Chaudhary, R., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000147 · Cited by 517 · see citing works
Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response
Wang, D., Wu, X., & Sun, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01136-2 · Cited by 518 · see citing works
Yamaguchi, H., Hsu, J.-M., Yang, W., & Hung, M. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00601-9 · Cited by 507 · see citing works
CD38-Mediated Immunosuppression as a Mechanism of Tumor Cell Escape from PD-1/PD-L1 Blockade
Chen, L., Diao, L., Yang, Y., Yi, X., Rodriguez, B. L., Li, Y., Villalobos, P. A., Cascone, T., Liu, X., Tan, L., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1033 · Cited by 462 · see citing works
Predictive biomarkers for cancer immunotherapy with immune checkpoint inhibitors
Bai, R., Lv, Z., Xu, D., & Cui, J. (2020) · Biomarker Research · doi:10.1186/s40364-020-00209-0 · Cited by 469 · see citing works
A pan-cancer single-cell panorama of human natural killer cells
Tang, F., Li, J., Qi, L., Liu, D., Bo, Y., Qin, S., Miao, Y., Yu, K., Hou, W., Li, J., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.034 · Cited by 450 · see citing works
Peng, D. H., Rodriguez, B. L., Diao, L., Chen, L., Wang, J., Byers, L. A., Wei, Y., Chapman, H. A., Yamauchi, M., Behrens, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18298-8 · Cited by 441 · see citing works
Krishna, C., DiNatale, R. G., Kuo, F., Srivastava, R. M., Vuong, L. H., Chowell, D., Gupta, S., Vanderbilt, C., Purohit, T. A., Liu, M., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.03.007 · Cited by 427 · see citing works
Self-citationLymphocyte-activation gene 3 (LAG3): The next immune checkpoint receptor
Ruffo, E., Wu, R. C., Bruno, T. C., Workman, C. J., & Vignali, D. A. A. (2019) · Seminars in Immunology · doi:10.1016/j.smim.2019.101305 · Cited by 381 · see citing works
Immune regulation through tryptophan metabolism
Seo, S., & Kwon, B. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-023-01028-7 · Cited by 416 · see citing works
Grasso, C. S., Tsoi, J., Onyshchenko, M., Abril-Rodriguez, G., Ross-Macdonald, P., Wind-Rotolo, M., Champhekar, A., Medina, E., Torrejon, D. Y., Shin, D. S., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.08.005 · Cited by 390 · see citing works
Self-citationŞahin, İ. H., Akce, M., Alese, O. B., Shaib, W. L., Lesinski, G. B., El‐Rayes, B. F., & Wu, C. S.-Y. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0599-y · Cited by 395 · see citing works
Chen, E. X., Jonker, D. J., Loree, J. M., Kennecke, H. F., Berry, S. R., Couture, F., Ahmad, C. E., Goffin, J. R., Kavan, P., Harb, M., et al. (2020) · JAMA Oncology · doi:10.1001/jamaoncol.2020.0910 · Cited by 400 · see citing works
Androgen receptor activity in T cells limits checkpoint blockade efficacy
Guan, X., Polesso, F., Wang, C., Sehrawat, A., Hawkins, R. M., Murray, S., THOMAS, G. V., Caruso, B., Thompson, R. F., Wood, M. A., et al. (2022) · Nature · doi:10.1038/s41586-022-04522-6 · Cited by 396 · see citing works
Klempner, S. J., Fabrizio, D. A., Bane, S., Reinhart, M. L., Peoples, T., Ali, S. M., Sokol, E. S., Frampton, G. M., Schrock, A. B., Anhorn, R., et al. (2019) · The Oncologist · doi:10.1634/theoncologist.2019-0244 · Cited by 398 · see citing works
Gao, Y., Nihira, N. T., Bu, X., Chu, C., Zhang, J., Kołodziejczyk, A., Fan, Y., Chan, N. T., Ma, L., Liu, J., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0562-4 · Cited by 390 · see citing works
Uppaluri, R., Campbell, K. M., Egloff, A. M., Zolkind, P., Skidmore, Z. L., Nussenbaum, B. A., Paniello, R. C., Rich, J. T., Jackson, R. S., Pipkorn, P. J., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-1695 · Cited by 391 · see citing works
UVB-Induced Tumor Heterogeneity Diminishes Immune Response in Melanoma
Wolf, Y., Bartok, O., Patkar, S., Eli, G. B., Cohen, S., Litchfield, K., Levy, R., Jiménez-Sánchez, A., Trabish, S., Lee, J. S., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.032 · Cited by 370 · see citing works
Tumor microenvironment: barrier or opportunity towards effective cancer therapy
Tiwari, A., Trivedi, R., & Lin, S. (2022) · Journal of Biomedical Science · doi:10.1186/s12929-022-00866-3 · Cited by 391 · see citing works
Hu, J., Zhang, L., Xia, H., Yan, Y., Zhu, X., Sun, F., Sun, L., Li, S., Li, D., Wang, J., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01164-9 · Cited by 393 · see citing works
Ovarian Cancer Immunotherapy and Personalized Medicine
Morand, S. M., Devanaboyina, M., Staats, H., Stanbery, L., & Nemunaitis, J. J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22126532 · Cited by 383 · see citing works
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 374 · see citing works
Self-citationB cells sustain inflammation and predict response to immune checkpoint blockade in human melanoma
Griss, J., Bauer, W. M., Wagner, C., Simon, M., Chen, M., Grabmeier‐Pfistershammer, K., Maurer‐Granofszky, M., Roka, F., Penz, T., Bock, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12160-2 · Cited by 373 · see citing works
Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance
Liu, Y., Liang, G., Xu, H., Dong, W., Dong, Z., Qiu, Z., Zhang, Z., Li, F., Huang, Y., Li, Y., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.04.001 · Cited by 370 · see citing works
Exploring immunotherapy in colorectal cancer
Weng, J., Li, S., Zhu, Z., Liu, Q., Zhang, R., Yang, Y., & Li, X. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01294-4 · Cited by 355 · see citing works
Pan-cancer deconvolution of tumour composition using DNA methylation
Chakravarthy, A., Furness, A., Joshi, K., Ghorani, E., Ford, K., Ward, M. J., King, E. V., Lechner, M., Marafioti, T., Quezada, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05570-1 · Cited by 327 · see citing works
Expression profile of immune checkpoint genes and their roles in predicting immunotherapy response
Hu, F., Liu, C., Liu, L., Zhang, Q., & Guo, A. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa176 · Cited by 354 · see citing works
Atlas of clinically distinct cell states and ecosystems across human solid tumors
Luca, B. A., Steen, C. B., Matusiak, M., Azizi, A., Varma, S., Zhu, C., Przybył, J., Espín-Pérez, A., Diehn, M., Alizadeh, A. A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.09.014 · Cited by 344 · see citing works
Implementing TMB measurement in clinical practice: considerations on assay requirements
Büttner, R., Longshore, J. W., López‐Ríos, F., Merkelbach‐Bruse, S., Normanno, N., Rouleau, É., & Penault-Llorca, F. M. (2019) · ESMO Open · doi:10.1136/esmoopen-2018-000442 · Cited by 342 · see citing works
Neoadjuvant relatlimab and nivolumab in resectable melanoma
Amaria, R. N., Postow, M. A., Burton, E. M., Tetzlaff, M. T., Ross, M. I., Torres-Cabala, C. A., Glitza, I. C., Duan, F., Milton, D. R., BUSAM, K. J., et al. (2022) · Nature · doi:10.1038/s41586-022-05368-8 · Cited by 347 · see citing works
TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data
Song, L., Cohen, D., Ouyang, Z., Cao, Y., Hu, X. S., & Liu, X. S. (2021) · Nature Methods · doi:10.1038/s41592-021-01142-2 · Cited by 334 · see citing works
Kim, I. S., Gao, Y., Welte, T., Wang, H., Liu, J., Janghorban, M., Sheng, K., Niu, Y., Goldstein, A., Zhao, N., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0373-7 · Cited by 334 · see citing works
Li, Y., Ge, X., Peng, F., Li, W., & Li, J. J. (2022) · Genome Biology · doi:10.1186/s13059-022-02648-4 · Cited by 303 · see citing works
TYRO3 induces anti–PD-1/PD-L1 therapy resistance by limiting innate immunity and tumoral ferroptosis
Jiang, Z., Lim, S., Yan, M., Hsu, J. L., Yao, J., Wei, Y., Chang, S.-S., Yamaguchi, H., Lee, H., Ke, B., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci139434 · Cited by 329 · see citing works
Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence
Harel, M., Ortenberg, R., Varanasi, S. K., Mangalhara, K. C., Mardamshina, M., Markovits, E., Baruch, E. N., Tripple, V., Arama-Chayoth, M., Greenberg, E., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.012 · Cited by 323 · see citing works
Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression
Huang, D., Wang, Y., Thompson, J. W., Yin, T., Alexander, P. B., Qin, D., Mudgal, P., Wu, H., Liang, Y., Tan, L., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-021-00820-9 · Cited by 320 · see citing works
Anagnostou, V., Forde, P. M., White, J. R., Niknafs, N., Hruban, C., Naidoo, J., Marrone, K. A., Sivakumar, I. K. A., Bruhm, D. C., Rosner, S., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-1127 · Cited by 319 · see citing works
Lozano, A. X., Chaudhuri, A. A., Nene, A., Bacchiocchi, A., Earland, N. J., Vesely, M. D., Usmani, A., Turner, B. E., Steen, C. B., Luca, B. A., et al. (2022) · Nature Medicine · doi:10.1038/s41591-021-01623-z · Cited by 314 · see citing works
Immunobiology and immunotherapy of HCC: spotlight on innate and innate-like immune cells
Ruf, B., Heinrich, B., & Greten, T. (2020) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00572-w · Cited by 282 · see citing works
Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy
Chowell, D., Krishna, C., Pierini, F., Makarov, V., Rizvi, N. A., Kuo, F., Morris, L. G. T., Riaz, N., Lenz, T. L., & Chan, T. A.-T. (2019) · Nature Medicine · doi:10.1038/s41591-019-0639-4 · Cited by 309 · see citing works
Self-citationDefining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours
Holder, A. M., Dedeilia, A., Sierra-Davidson, K., Cohen, S., Liu, D., Parikh, A. R., & Boland, G. M. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00705-7 · Cited by 313 · see citing works
Heterogeneity of the tumor immune microenvironment and its clinical relevance
Jia, Q., Wang, A., Yuan, Y.-X., Zhu, B., & Long, H.-X. (2022) · Experimental Hematology & Oncology · doi:10.1186/s40164-022-00277-y · Cited by 236 · see citing works
Song, X., Xu, J., Liang, C., Chao, Y., Jin, Q., Wang, C., Chen, M., & Liu, Z. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b02720 · Cited by 299 · see citing works
Urea Cycle Dysregulation Generates Clinically Relevant Genomic and Biochemical Signatures
Lee, J. S., Adler, L. N., Karathia, H., Carmel, N. N., Rabinovich, S., Auslander, N., Keshet, R., Stettner, N., Silberman, A., Agemy, L., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.019 · Cited by 297 · see citing works
- Authors
- Riaz, N., Havel, J. J., Makarov, V., Desrichard, A., Urba, W. J., Sims, J. S., Hodi, F. S., Martín-Algarra, S., Mandal, R., Sharfman, W. H., Bhatia, S., Hwu, W.-J., Gajewski, T. F., Slingluff, C. L., Chowell, D., Kendall, S. M., Chang, H., Shah, R., Kuo, F., Morris, L. G. T., Sidhom, J.-W., Schneck, J. P., Horak, C. E., Weinhold, N., & Chan, T. A.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Providence Portland Medical Center (US)
- Dana-Farber Cancer Institute (US)
- Johns Hopkins University (US)
- University of Washington (US)
- The University of Texas MD Anderson Cancer Center (US)
- University of Chicago (US)
- University of Virginia Medical Center (US)
- Bristol-Myers Squibb (United States) (US)
- Corresponding author
- Weinhold, Nils
- Chan, Timothy A.
- ORCID
- Riaz, Nadeem
- Havel, Jonathan J.
- Makarov, Vladimir
- Desrichard, Alexis
- Urba, Walter J.
- Hodi, F. Stephen
- Mandal, Rajarsi
- Sharfman, William H.
- Bhatia, Shailender
- Hwu, Wen-Jen
- Gajewski, Thomas F.
- Slingluff, Craig L.
- Chowell, Diego
- Kendall, Sviatoslav M.
- Chang, Han
- Shah, Rachna
- Kuo, Fengshen
- Morris, Luc G.T.
- Sidhom, John-William
- Schneck, Jonathan P.
- Weinhold, Nils
- Chan, Timothy A.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 171
- Issue
- 4
- Pages
- 934-949.e16
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC5685550
- OpenAlex
- W2761575992
- Cited by
- 2,401
- References
- 76
- Citations by year
- 2026: 205 · 2025: 264 · 2024: 365 · 2023: 365 · 2022: 334 · 2021: 333 · 2020: 242 · 2019: 173 · 2018: 105 · 2017: 10 · 2013: 1
- FWCI
- 63.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Bristol-Myers Squibb
- Pershing Square Sohn Cancer Research Foundation
- PaineWebber Chair
- Stand Up 2 Cancer
- Memorial Sloan Kettering Cancer Center (5P30 CA008748-50)
- STARR Cancer Consortium
- Abraxis
- Amgen
- Bionomics
- EMD Serono
- Immune Design
- Immunogen
- Merck
- NantKwest
- OncoSec
- Incyte
- Ono
- Genentech
- Seattle Genetics
- GlaxoSmithKline
- MedImmune
- NexImmune
- Polynoma
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- nivolumab, immune checkpoint blockade, melanoma, tumor evolution, intratumoral heterogeneity, neoantigens, clonal evolution, T cell receptor repertoire, immune cell transcriptome, immune checkpoint genes, ipilimumab, tumor mutational burden, treatment response
- MeSH terms
- Nivolumab, Antibodies, Monoclonal, Antineoplastic Agents, Humans, Immunotherapy, Melanoma, T-Lymphocytes, Genome-Wide Association Study, Tumor Microenvironment, Transcriptome, Programmed Cell Death 1 Receptor
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.
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