Immune-related gene expression profiling after PD-1 blockade in non–small cell lung carcinoma, head and neck squamous cell carcinoma, and melanoma
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Abstract
Abstract Antibody targeting of the immune checkpoint receptor PD1 produces therapeutic activity in a variety of solid tumors, but most patients exhibit partial or complete resistance to treatment for reasons that are unclear. In this study, we evaluated tumor specimens from 65 patients with melanoma, lung nonsquamous, squamous cell lung or head and neck cancers who were treated with the approved PD1-targeting antibodies pembrolizumab or nivolumab. Tumor RNA before anti-PD1 therapy was analyzed on the nCounter system using the PanCancer 730-Immune Panel, and we identified 23 immune-related genes or signatures linked to response and progression-free survival (PFS). In addition, we evaluated intra- and interbiopsy variability of PD1, PD-L1, CD8A, and CD4 mRNAs and their relationship with tumor-infiltrating lymphocytes (TIL) and PD-L1 IHC expression. Among the biomarkers examined, PD1 gene expression along with 12 signatures tracking CD8 and CD4 T-cell activation, natural killer cells, and IFN activation associated significantly with nonprogressive disease and PFS. These associations were independent of sample timing, drug used, or cancer type. TIL correlated moderately (∼0.50) with PD1 and CD8A mRNA levels and weakly (∼0.35) with CD4 and PD-L1. IHC expression of PD-L1 correlated strongly with PD-L1 (0.90), moderately with CD4 and CD8A, and weakly with PD1. Reproducibility of gene expression in intra- and interbiopsy specimens was very high (total SD <3%). Overall, our results support the hypothesis that identification of a preexisting and stable adaptive immune response as defined by mRNA expression pattern is reproducible and sufficient to predict clinical outcome, regardless of the type of cancer or the PD1 therapeutic antibody administered to patients. Cancer Res; 77(13); 3540–50. ©2017 AACR.
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In a human clinical trial of PD-1 checkpoint inhibitor treatment of two types of squamous cell carcinoma, high expression of TSK-specific genes ITGB1 and PLAU correlated with significantly reduced progression-free survival (p = 0.0137).
“In a human clinical trial of PD-1 checkpoint inhibitor treatment of two types of squamous cell carcinoma (Prat et al., 2017), high expression of TSK-specific genes ITGB1 and PLAU correlated with significantly reduced progression-free survival (p = 0.0137)”
From Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma (2020) · cites this paper as Prat et al., 2017
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838 · 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
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
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335 · see citing works
Self-citationMutational 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
Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
Galon, J., Costes, A., Sanchez-Cabo, F., Kirilovsky, A., Mlecnik, B., Lagorce-Pagès, C., Tosolini, M., Camus, M., Berger, A., Wind, P., et al. (2006) · Science · doi:10.1126/science.1129139 · Cited by 6,516 · see citing works
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887 · see citing works
Self-citationNivolumab 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
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981 · see citing works
Hammond, M. E., Hayes, D. F., Dowsett, M., Allred, D. C., Hagerty, K. L., Badve, S., Fitzgibbons, P. L., Francis, G. D., Goldstein, N. S., Hayes, M. M., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.25.6529 · Cited by 4,217 · see citing works
Innate and adaptive immune cells in the tumor microenvironment
Gajewski, T. F., Schreiber, H., & Fu, Y.-X. (2013) · Nature Immunology · doi:10.1038/ni.2703 · Cited by 4,148 · see citing works
Wolff, A. C., Hammond, M. E. H., Hicks, D. G., Dowsett, M., McShane, L. M., Allison, K. H., Allred, D. C., Bartlett, J. M. S., Bilous, M., Fitzgibbons, P. L., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2013.50.9984 · Cited by 4,015 · 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
Salgado, R., Denkert, C., Demaria, S., Sirtaine, N., Klauschen, F., Pruneri, G., Wienert, S., den Eynden, G. V., Baehner, F. L., Penault-Llorca, F. M., et al. (2014) · Annals of Oncology · doi:10.1093/annonc/mdu450 · Cited by 3,142 · 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
Fehrenbacher, L., Spira, A., Ballinger, M., Kowanetz, M., Vansteenkiste, J., Mazieres, J., Park, K., Smith, D., Artal-Cortes, A., Lewanski, C., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00587-0 · Cited by 2,756 · see citing works
PD-L1 expression as a predictive biomarker in cancer immunotherapy
Patel, S. P., & Kurzrock, R. (2015) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-14-0983 · Cited by 2,291 · see citing works
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 · see citing works
Hoadley, K. A., Yau, C. S. F., Wolf, D. M., Cherniack, A. D., Tamborero, D., Ng, S., Leiserson, M. D. M., Niu, B., McLellan, M. D., Uzunangelov, V., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.049 · Cited by 1,500 · see citing works
MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery
Wang, K., Singh, D., Zeng, Z., Coleman, S. J., Huang, Y., Savich, G. L., He, X., Mieczkowski, P., Grimm, S. A., Perou, C. M., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq622 · Cited by 1,193 · see citing works
Hammond, M. E., Hayes, D. F., Dowsett, M., Allred, D. C., Hagerty, K. L., Badve, S., Fitzgibbons, P. L., Francis, G. D., Goldstein, N. S., Hayes, M. M., et al. (2010) · Archives of Pathology & Laboratory Medicine · doi:10.5858/134.7.e48 · Cited by 1,046 · 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
The Continuum of Cancer Immunosurveillance: Prognostic, Predictive, and Mechanistic Signatures
Galon, J., Angell, H. K., Bedognetti, D., & Marincola, F. M. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.008 · Cited by 861 · see citing works
Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes
Desmedt, C., Haibe‐Kains, B., Wirapati, P., Buyse, M. E., Larsimont, D., Bontempi, G., Delorenzi, M., Piccart, M. J., & Sotiriou, C. P. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-4756 · Cited by 827 · see citing works
An immune-active tumor microenvironment favors clinical response to ipilimumab
Ji, R., Chasalow, S. D., Wang, L., Hamid, O., Schmidt, H., Cogswell, J. P., Alaparthy, S., Berman, D., Jure‐Kunkel, M., Siemers, N. O., et al. (2011) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-011-1172-6 · Cited by 771 · see citing works
Tumor Immunotherapy Directed at PD-1
Ribas, A. (2012) · New England Journal of Medicine · doi:10.1056/nejme1205943 · Cited by 680 · see citing works
An International Ki67 Reproducibility Study
Polley, M. C., Leung, S. C. Y., McShane, L. M., Gao, D., Hugh, J. C., Mastropasqua, M. G., Viale, G., Zabaglo, L. A., Penault-Llorca, F. M., Bartlett, J. M. S., et al. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djt306 · Cited by 593 · see citing works
Tumor immune profiling predicts response to anti–PD-1 therapy in human melanoma
Daud, A. I., Loo, K., Pauli, M. L., Sanchez-Rodriguez, R., Sandoval, P. M., Taravati, K., Tsai, K., Nosrati, A., Nardo, L., Alvarado, M. D., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci87324 · Cited by 525 · see citing works
Perez, E. A., Suman, V. J., Davidson, N. E., Martino, S., Kaufman, P. A., Lingle, W. L., Flynn, P. J., Ingle, J. N., Visscher, D. W., & Jenkins, R. B. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.03.4744 · Cited by 437 · see citing works
Predictive Gene Signature in MAGE-A3 Antigen-Specific Cancer Immunotherapy
Ulloa-Montoya, F., Louahed, J., Dizier, B., Gruselle, O., Spiessens, B., Lehmann, F. F., Suciu, S., Kruit, W. H. J., Eggermont, A. M. M., Vansteenkiste, J., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.44.3762 · Cited by 436 · see citing works
Nielsen, T. O., Wallden, B., Schaper, C., Ferree, S., Liu, S., Gao, D., Barry, G. S., Dowidar, N., Maysuria, M., & Storhoff, J. J. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-177 · Cited by 311 · see citing works
Releasing the Brakes on Cancer Immunotherapy
Ribas, A. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1510079 · Cited by 256 · see citing works
Ascierto, M. L., McMiller, T. L., Berger, A. E., Danilova, L., Anders, R. A., Netto, G. J., Xu, H., Pritchard, T. S., Fan, J., Cheadle, C., et al. (2016) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-16-0072 · Cited by 209 · see citing works
Ribas, A., Robert, C., Hodi, F. S., Wolchok, J. D., Joshua, A. M., Hwu, W., Weber, J. S., Zarour, H. M., Kefford, R. F., Loboda, A. P., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.33.15_suppl.3001 · Cited by 201 · see citing works
Biomarkers associated with checkpoint inhibitors
Manson, G., Norwood, J., Marabelle, A., Kohrt, H. E. K., & Houot, R. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw181 · Cited by 164 · see citing works
nCounter® PanCancer Immune Profiling Panel (NanoString Technologies, Inc., Seattle, WA)
Cesano, A. (2015) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-015-0088-7 · Cited by 158 · see citing works
CXCR3/CCR5 pathways in metastatic melanoma patients treated with adoptive therapy and interleukin-2
Bedognetti, D., Spivey, T., Zhao, Y., Uccellini, L., Tomei, S., Dudley, M. E., Ascierto, M. L., Giorgi, V. D., Liu, Q., Delogu, L. G., et al. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.557 · Cited by 152 · see citing works
Prat, A., Cheang, M. C. U., Galván, P., Nuciforo, P. G., Paré, L., Adamo, B., Muñoz-Mateu, M., Viladot, M., Press, M. F., Gagnon, R., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.0922 · Cited by 132 · see citing works
Self-citationPrat, A., Galván, P., Jiménez, B., Buckingham, W., Jeiranian, H. A., Schaper, C., Vidal, M. J., Álvarez, M., Díaz, S., Ellis, C. E., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0630 · Cited by 97 · see citing works
Self-citationMedler, T. R., Cotechini, T., & Coussens, L. M. (2015) · Trends in cancer · doi:10.1016/j.trecan.2015.07.008 · Cited by 95 · see citing works
Weiss, G. R., Grosh, W. W., Chianese‐Bullock, K. A., Zhao, Y., Liu, H., Slingluff, C. L., Marincola, F. M., & Wang, E. (2011) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-11-1650 · Cited by 78 · see citing works
T cell-NF-κB activation is required for tumor control in vivo
Barnes, S. E., Wang, Y., Chen, L., Molinero, L. L., Gajewski, T. F., Evaristo, C., & Alegre, M. (2015) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-014-0045-x · Cited by 70 · see citing works
McCullough, A. E., Dell’Orto, P., Reinholz, M. M., et al. (2014) · Breast Cancer Research and Treatment · doi:10.1007/s10549-013-2827-0 · Cited by 66 · see citing works
Prediction of Response to Anticancer Immunotherapy Using Gene Signatures
Wang, E., Bedognetti, D., & Marincola, F. M. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2013.49.2157 · Cited by 52 · see citing works
Ayers, M., Lunceford, J. K., Nebozhyn, M., et al. (2015) · Journal for ImmunoTherapy of Cancer · doi:10.1186/2051-1426-3-s2-p80 · Cited by 41 · see citing works
Gene expression‐based classifications of fibroadenomas and phyllodes tumours of the breast
Vidal, M., Peg, V., Galván, P., et al. (2015) · Molecular Oncology · doi:10.1016/j.molonc.2015.01.003 · Cited by 40 · see citing works
Self-citationWallden, B., Pekker, I., Popa, S., Dowidar, N., Sullivan, A. H., Hood, T., Danaher, P. J., Mashadi-Hossein, A., Lunceford, J. K., Marton, M. J., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.34.15_suppl.3034 · Cited by 18 · see citing works
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Saxena, M., van der Burg, S. H., Melief, C. J. M., & Bhardwaj, N. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00346-0 · Cited by 1,581 · see citing works
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“In a human clinical trial of PD-1 checkpoint inhibitor treatment of two types of squamous cell carcinoma (Prat et al., 2017), high expression of TSK-specific genes ITGB1 and PLAU correlated with significantly reduced progression-free survival (p = 0.”
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Fumet, J.-D., Richard, C., Ledys, F., Klopfenstein, Q., Joubert, P., Routy, B., Truntzer, C., Gagné, A., Hamel, M.-A., Guimaraes, C. F., et al. (2018) · British Journal of Cancer · doi:10.1038/s41416-018-0220-9 · Cited by 176 · see citing works
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Knox, T., Sahakian, E., Banik, D., Hadley, M., Palmer, E., Noonepalle, S., Kim, J., Powers, J., Gracia-Hernandez, M., Oliveira, V., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-42237-3 · Cited by 170 · see citing works
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- Authors
- Prat, A., Navarro, A., Paré, L., Reguart, N., Galván, P., Pascual, T., Martínez, A., Nuciforo, P., Comerma, L., Alos, L., Pardo, N., Cedrés, S., Fan, C., Parker, J. S., Gaba, L., Victoria, I., Viñolas, N., Vivancos, A., Arance, A., & Felip, E.
- Affiliations
- Hospital Clínic de Barcelona (ES)
- Vall d'Hebron Hospital Universitari (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- 1Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
- 4Medical Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain.
- Vall d'Hebron Institute of Oncology (ES)
- 6Pathology Department, Hospital Clínic of Barcelona, Barcelona, Spain.
- UNC Lineberger Comprehensive Cancer Center (US)
- 2Medical Oncology Department, Hospital Clínic of Barcelona, Barcelona, Spain.
- Corresponding author
- Prat, Aleix
- ORCID
- Venue
- Cancer Research
- Published
- 2017-07-01
- Volume
- 77
- Issue
- 13
- Pages
- 3540-3550
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2613155082
- Cited by
- 455
- References
- 48
- Citations by year
- 2026: 23 · 2025: 34 · 2024: 57 · 2023: 44 · 2022: 68 · 2021: 84 · 2020: 60 · 2019: 41 · 2018: 38 · 2017: 5 · 2015: 1
- FWCI
- 17.36
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- anti-PD-1 therapy, immune checkpoint inhibitors, pembrolizumab, nivolumab, immune-related gene expression signature, tumor-infiltrating lymphocytes, PD-L1 expression, CD8A, natural killer cells, interferon activation, progression-free survival, predictive biomarkers, non-small cell lung cancer, head and neck squamous cell carcinoma, melanoma
- MeSH terms
- Squamous Cell Carcinoma of Head and Neck, Nivolumab, Adult, Aged, Aged, 80 and over, Antibodies, Monoclonal, Carcinoma, Non-Small-Cell Lung, Carcinoma, Squamous Cell, Female, Head and Neck Neoplasms, Humans, Lung Neoplasms, Male, Melanoma, Middle Aged, Gene Expression, Gene Expression Profiling, Programmed Cell Death 1 Receptor, Antibodies, Monoclonal, Humanized
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