Transcriptional Mechanisms of Resistance to Anti–PD-1 Therapy

Purpose: To explore factors associated with response and resistance to anti–PD-1 therapy, we analyzed multiple disease sites at autopsy in a patient with widely metastatic melanoma who had a heterogeneous response. Materials and Methods: Twenty-six melanoma specimens (four premortem, 22 postmortem) were subjected to whole exome sequencing. Candidate immunologic markers and gene expression were assessed in 10 cutaneous metastases showing response or progression during therapy. Results: The melanoma was driven by biallelic inactivation of NF1. All lesions had highly concordant mutational profiles and copy number alterations, indicating linear clonal evolution. Expression of candidate immunologic markers was similar in responding and progressing lesions. However, progressing cutaneous metastases were associated with overexpression of genes associated with extracellular matrix and neutrophil function. Conclusions: Although mutational and immunologic differences have been proposed as the primary determinants of heterogeneous response/resistance to targeted therapies and immunotherapies, respectively, differential lesional gene expression profiles may also dictate anti–PD-1 outcomes. Clin Cancer Res; 23(12); 3168–80. ©2017 AACR. See related commentary by Wilmott et al., p. 2921

[1]  J. Sosman,et al.  Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma , 2017, Cell.

[2]  E. Furth,et al.  CXCR2-Dependent Accumulation of Tumor-Associated Neutrophils Regulates T-cell Immunity in Pancreatic Ductal Adenocarcinoma , 2016, Cancer Immunology Research.

[3]  H. Hsu,et al.  Collagen XVII/laminin-5 activates epithelial-to-mesenchymal transition and is associated with poor prognosis in lung cancer , 2016, Oncotarget.

[4]  L. Chin,et al.  Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade. , 2016, Cancer discovery.

[5]  T. Graeber,et al.  Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma. , 2016, The New England journal of medicine.

[6]  V. Seshan,et al.  FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing , 2016, Nucleic acids research.

[7]  J. Taube,et al.  Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy , 2016, Nature Reviews Cancer.

[8]  L. Ferrucci,et al.  sFRP2 in the aged microenvironment drives melanoma metastasis and therapy resistance , 2016, Nature.

[9]  N. Socci,et al.  Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity , 2015, Nature Biotechnology.

[10]  Antoni Ribas,et al.  Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance , 2015, Cell.

[11]  S. Ariyan,et al.  Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas , 2015, Nature Genetics.

[12]  Steven J. M. Jones,et al.  Genomic Classification of Cutaneous Melanoma , 2015, Cell.

[13]  T. Gajewski,et al.  Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity , 2015, Nature.

[14]  J. Taube,et al.  Differential Expression of Immune-Regulatory Genes Associated with PD-L1 Display in Melanoma: Implications for PD-1 Pathway Blockade , 2015, Clinical Cancer Research.

[15]  C. Drake,et al.  Immune checkpoint blockade: a common denominator approach to cancer therapy. , 2015, Cancer cell.

[16]  Martin L. Miller,et al.  Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer , 2015, Science.

[17]  J. Wolchok,et al.  Genetic basis for clinical response to CTLA-4 blockade in melanoma. , 2014, The New England journal of medicine.

[18]  R. Emerson,et al.  PD-1 blockade induces responses by inhibiting adaptive immune resistance , 2014, Nature.

[19]  Z. Szallasi,et al.  Spatial and temporal diversity in genomic instability processes defines lung cancer evolution , 2014, Science.

[20]  Matthew D. Wilkerson,et al.  ABRA: improved coding indel detection via assembly-based realignment , 2014, Bioinform..

[21]  B. Taylor,et al.  Loss of NF1 in cutaneous melanoma is associated with RAS activation and MEK dependence. , 2014, Cancer research.

[22]  J. Taube,et al.  Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapy , 2014, Clinical Cancer Research.

[23]  David T. W. Jones,et al.  Signatures of mutational processes in human cancer , 2013, Nature.

[24]  K. Kinzler,et al.  Cancer Genome Landscapes , 2013, Science.

[25]  D. Schadendorf,et al.  A genome-scale RNA interference screen implicates NF1 loss in resistance to RAF inhibition. , 2013, Cancer discovery.

[26]  A. Sivachenko,et al.  Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples , 2013, Nature Biotechnology.

[27]  A. Sivachenko,et al.  A Landscape of Driver Mutations in Melanoma , 2012, Cell.

[28]  David C. Smith,et al.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. , 2012, The New England journal of medicine.

[29]  Alison P. Klein,et al.  Colocalization of Inflammatory Response with B7-H1 Expression in Human Melanocytic Lesions Supports an Adaptive Resistance Mechanism of Immune Escape , 2012, Science Translational Medicine.

[30]  P. A. Futreal,et al.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.

[31]  N. Carter,et al.  Estimation of rearrangement phylogeny for cancer genomes. , 2012, Genome research.

[32]  C. Greenman Estimation of Rearrangement Phylogeny in Cancer , 2012 .

[33]  M. DePristo,et al.  A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.

[34]  M. Nowak,et al.  Distant Metastasis Occurs Late during the Genetic Evolution of Pancreatic Cancer , 2010, Nature.

[35]  Brad T. Sherman,et al.  The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists , 2007, Genome Biology.

[36]  Joshua S. Yuan,et al.  Statistical analysis of real-time PCR data , 2006, BMC Bioinformatics.

[37]  C. Iacobuzio-Donahue,et al.  Immortalizing the complexity of cancer metastasis: Genetic features of lethal metastatic pancreatic cancer obtained from rapid autopsy , 2005, Cancer biology & therapy.

[38]  M. Hendrix,et al.  Targeting the Tumor Microenvironment with Chemically Modified Tetracyclines: Inhibition of Laminin 5 γ2 Chain Promigratory Fragments and Vasculogenic Mimicry1Supported by NIH/National Cancer Institute Grants CA83137 (to R. E. B. S.), CA80318, CA88043-02S1, and CA59702 (to M. J. C. H.).1 , 2002 .

[39]  J. Kalbfleisch,et al.  The Statistical Analysis of Failure Time Data: Kalbfleisch/The Statistical , 2002 .

[40]  W. Carter,et al.  Targeted Disruption of the LAMA3 Gene in Mice Reveals Abnormalities in Survival and Late Stage Differentiation of Epithelial Cells , 1999, The Journal of cell biology.

[41]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[42]  S. Rosenberg,et al.  Tumor-specific cytolysis by lymphocytes infiltrating human melanomas. , 1989, Journal of immunology.

[43]  J. Peto,et al.  Asymptotically Efficient Rank Invariant Test Procedures , 1972 .

[44]  Claude-Alain H. Roten,et al.  Fast and accurate short read alignment with Burrows–Wheeler transform , 2009, Bioinform..

[45]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[46]  Alex E. Lash,et al.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..

[47]  M. Hendrix,et al.  Targeting the tumor microenvironment with chemically modified tetracyclines: inhibition of laminin 5 gamma2 chain promigratory fragments and vasculogenic mimicry. , 2002, Molecular cancer therapeutics.