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Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Open accessAbstract
PD-1 immune checkpoint blockade provides significant clinical benefits for melanoma patients. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies to identify factors that may influence innate sensitivity or resistance to anti-PD-1 therapy. We find that overall high mutational loads associate with improved survival, and tumors from responding patients are enriched for mutations in the DNA repair gene BRCA2. Innately resistant tumors display a transcriptional signature (referred to as the IPRES, or innate anti-PD-1 resistance), indicating concurrent up-expression of genes involved in the regulation of mesenchymal transition, cell adhesion, extracellular matrix remodeling, angiogenesis, and wound healing. Notably, mitogen-activated protein kinase (MAPK)-targeted therapy (MAPK inhibitor) induces similar signatures in melanoma, suggesting that a non-genomic form of MAPK inhibitor resistance mediates cross-resistance to anti-PD-1 therapy. Validation of the IPRES in other independent tumor cohorts defines a transcriptomic subset across distinct types of advanced cancer. These findings suggest that attenuating the biological processes that underlie IPRES may improve anti-PD-1 response in melanoma and other cancer types.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
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
GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-7 · Cited by 15,440
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
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
Self-citationTrapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
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
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
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
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
Self-citationComprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
McCarthy, D. J., Chen, Y., & Smyth, G. K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks042 · Cited by 5,195
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 4,954
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
Self-citationWherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 1×
“We curated published CD8 T cell exhaustion genes (Wherry, 2011) to minimize those likely to be expressed by melanoma cells by excluding genes whose maximum log2 FPKM was 1 in an in-house melanoma cell line-derived RNASeq database (n = 26 cell lines).”
Comprehensive molecular characterization of clear cell renal cell carcinoma
The Cancer Genome Atlas Research Network (2013) · Nature · doi:10.1038/nature12222 · Cited by 3,485
Safety and Tumor Responses with Lambrolizumab (Anti–PD-1) in Melanoma
Hamid, O., Robert, C., DAUD, A. I., Hodi, F. S., Hwu, W., Kefford, R. F., Wolchok, J. D., Hersey, P., Joseph, R. W., Weber, J. S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1305133 · Cited by 3,427
Self-citationWolchok, 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
Genomic 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
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
A landscape of driver mutations in melanoma
Hodis, E., Watson, I. R., Kryukov, G. V., Arold, S. T., Imielinski, M., Theurillat, J.-P., Nickerson, E., Auclair, D., Li, L., Place, C., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.024 · Cited by 2,610
Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential
Sharma, P., & Allison, J. P. (2015) · Cell · doi:10.1016/j.cell.2015.03.030 · Cited by 2,345
Improving RNA-Seq expression estimates by correcting for fragment bias
Roberts, A., Trapnell, C., Donaghey, J., Rinn, J. L., & Pachter, L. (2011) · Genome Biology · doi:10.1186/gb-2011-12-3-r22 · Cited by 1,725
Loss of PTEN Promotes Resistance to T Cell–Mediated Immunotherapy
Peng, W., Chen, J. Q., Liu, C., Malu, S., Creasy, C., Tetzlaff, M. T., Xu, C., McKenzie, J. A., Zhang, C., Liang, X., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0283 · Cited by 1,539
The InterPro protein families database: the classification resource after 15 years
Mitchell, A., Chang, H.-Y., Daugherty, L. C., Fraser, M., Hunter, S., López, R., McAnulla, C., McMenamin, C., Nuka, G., Pesseat, S., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1243 · Cited by 1,276
Chen, L., Gibbons, D. L., Goswami, S., Cortez, M. A., Ahn, Y., Byers, L. A., Zhang, X., Yi, X., Dwyer, D. W., Lin, W., et al. (2014) · Nature Communications · doi:10.1038/ncomms6241 · Cited by 994
Acquired Resistance and Clonal Evolution in Melanoma during BRAF Inhibitor Therapy
Shi, H., Hugo, W., Kong, X., Hong, A., Koya, R. C., Moriceau, G., Chodon, T., Guo, R., Johnson, D. B., Dahlman, K. B., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-13-0642 · Cited by 982
Self-citationCancer as an overhealing wound: an old hypothesis revisited
Schäfer, M., & Werner, S. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2455 · Cited by 974
Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data
Favero, F., Joshi, T., Marquard, A. M., Birkbak, N. J., Krzystanek, M., Li, Q., Szállási, Z., & Eklund, A. C. (2014) · Annals of Oncology · doi:10.1093/annonc/mdu479 · Cited by 819
In vivo Switching of Human Melanoma Cells between Proliferative and Invasive States
Hoek, K. S., Eichhoff, O. M., Schlegel, N. C., Döbbeling, U., Kobert, N., Schaerer, L., Hemmi, S., & Dummer, R. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2491 · Cited by 743
NetMHCpan, a method for MHC class I binding prediction beyond humans
Hoof, I., Peters, B., Sidney, J., Pedersen, L. E., Sette, A., Lund, O., Buus, S., & Nielsen, M. (2008) · Immunogenetics · doi:10.1007/s00251-008-0341-z · Cited by 739
Immunogenicity of somatic mutations in human gastrointestinal cancers
Tran, E., Ahmadzadeh, M., Lu, Y.-C., Gros, A., Turcotte, S., Robbins, P. F., Gartner, J. J., Zheng, Z., Li, Y. F., Ray, S., et al. (2015) · Science · doi:10.1126/science.aad1253 · Cited by 729
Nielsen, M., Lundegaard, C., Blicher, T. H., Lamberth, K., Harndahl, M. N., Justesen, S. F. L., Røder, G., Peters, B., Sette, A., Lund, O., et al. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000796 · Cited by 719
Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance
Hugo, W., Shi, H., Sun, L., Piva, M., Song, C., Kong, X., Moriceau, G., Hong, A., Dahlman, K. B., Johnson, D. B., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.061 · Cited by 618
Self-citationMak, M. P., Tong, P., Diao, L., Cardnell, R. J., Gibbons, D. L., William, W. N., Skoulidis, F., Parra, E. R., Rodriguez‐Canales, J., Wistuba, I. I., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0876 · Cited by 540
Oncotator: Cancer Variant Annotation Tool
Ramos, A. H., Lichtenstein, L., Gupta, M., Lawrence, M. S., Pugh, T. J., Saksena, G., Meyerson, M. M., & Getz, G. A. (2015) · Human Mutation · doi:10.1002/humu.22771 · Cited by 495
The parallel lives of angiogenesis and immunosuppression: cancer and other tales
Motz, G. T., & Coukos, G. (2011) · Nature Reviews Immunology · doi:10.1038/nri3064 · Cited by 481
Control of the Immune Response by Pro-Angiogenic Factors
Voron, T., Marcheteau, E., Pernot, S., Colussi, O., Tartour, É., Taı̈eb, J., & Terme, M. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00070 · Cited by 337
Karosiene, E., Rasmussen, M., Blicher, T. H., Lund, O., Buus, S., & Nielsen, M. (2013) · Immunogenetics · doi:10.1007/s00251-013-0720-y · Cited by 272
Unraveling the mechanism of BRCA2 in homologous recombination
Holloman, W. K. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2096 · Cited by 230
ATHLATES: accurate typing of human leukocyte antigen through exome sequencing
Liu, C., Yang, X. Q., DUFFY, B. F., Mohanakumar, T., Mitra, R. D., Zody, M. C., & Pfeifer, J. D. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt481 · Cited by 124
Hoos, A., Wolchok, J. D., Humphrey, R. W., & Hodi, F. S. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-3128 · Cited by 61
Inkeles, M. S., Scumpia, P. O., Swindell, W. R., Lopez, D., Teles, R. M. B., Graeber, T. G., Meller, S., Homey, B., Elder, J. T., Gilliet, M. F., et al. (2014) · Journal of Investigative Dermatology · doi:10.1038/jid.2014.352 · Cited by 43
Chen, L., Heymach, J. V., Qin, F. X.-F., & Gibbons, D. L. (2015) · OncoImmunology · doi:10.1080/2162402x.2014.1002731 · Cited by 26
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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
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Metadata
- Authors
- Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., Seja, E., Lomeli, S., Kong, X., Kelley, M. C., Sosman, J. A., Johnson, D. B., Ribas, A., & Lo, R. S.
- Affiliations
- University of California, Los Angeles (US)
- Vanderbilt University (US)
- Corresponding author
- Lo, Roger S.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 165
- Issue
- 1
- Pages
- 35-44
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4808437
- OpenAlex
- W2299181842
- Cited by
- 3,448
- References
- 46
- Citations by year
- 2026: 175 · 2025: 281 · 2024: 370 · 2023: 409 · 2022: 478 · 2021: 461 · 2020: 406 · 2019: 316 · 2018: 268 · 2017: 205 · 2016: 70
- FWCI
- 153.57
- Type
- journal article
- Language
- en
- Update notices
- erratum (2017-01-26)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (UL1TR000124)
- National Cancer Institute (P01CA168585, K12 CA 0906525, K12CA090625, R35CA197633, P30CA016042, R01CA176111)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- metastatic melanoma, anti-PD-1 therapy, immune checkpoint blockade, treatment response prediction, BRCA2 mutation, non-specific immunity, mesenchymal transition, extracellular matrix remodeling, angiogenesis, MAPK inhibitor resistance, cross-resistance, tumor transcriptome
- MeSH terms
- Nivolumab, Antibodies, Monoclonal, Antineoplastic Agents, Humans, Melanoma, Neoplasm Metastasis, Drug Resistance, Neoplasm, MAP Kinase Signaling System, BRCA2 Protein, Transcriptome, Programmed Cell Death 1 Receptor, Antibodies, Monoclonal, Humanized
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