Determinants of anti-PD1 response and resistance in clear cell renal cell carcinoma

Antigen recognition and T-cell mediated cytotoxicity in clear-cell renal cell carcinoma (ccRCC) remains incompletely understood. To address this knowledge gap, we analysed 115 multiregion tumour samples collected from 15 treatment-naive patients pre- and post-nivolumab therapy, and at autopsy in three patients. We performed whole-exome sequencing, RNAseq, TCRseq, multiplex immunofluorescence and flow cytometry analyses and correlated with clinical response. We observed pre-treatment intratumoural TCR clonal expansions suggesting pre-existing immunity. Nivolumab maintained pre-treatment expanded, clustered TCR clones in responders, suggesting ongoing antigen-driven stimulation of T-cells. T-cells in responders were enriched for expanded TCF7+CD8+ T-cells and upregulated GZMK/B upon nivolumab-binding. By contrast, nivolumab promoted accumulation of new TCR clones in non-responders, replacing pre-treatment expanded clonotypes. In this dataset, mutational features did not correlate with response to nivolumab and human endogenous retrovirus expression correlated indirectly. Our data suggests that nivolumab potentiates clinical responses in ccRCC by binding pre-existing expanded CD8+ T-cells to enhance cytotoxicity.

[1]  M. Atkins,et al.  Open-Label, Single-Arm, Phase II Study of Pembrolizumab Monotherapy as First-Line Therapy in Patients With Advanced Non–Clear Cell Renal Cell Carcinoma , 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  P. Van Loo,et al.  Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition , 2021, Cell.

[3]  P. Catalano,et al.  Expression of T-Cell Exhaustion Molecules and Human Endogenous Retroviruses as Predictive Biomarkers for Response to Nivolumab in Metastatic Clear Cell Renal Cell Carcinoma , 2020, Clinical Cancer Research.

[4]  P. Hegde,et al.  Molecular Subsets in Renal Cancer Determine Outcome to Checkpoint and Angiogenesis Blockade. , 2020, Cancer cell.

[5]  Amber C. Donahue,et al.  Avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma: biomarker analysis of the phase 3 JAVELIN Renal 101 trial , 2020, Nature Medicine.

[6]  C. Brander,et al.  TOX is expressed by exhausted and polyfunctional human effector memory CD8+ T cells , 2020, Science Immunology.

[7]  Ashton C. Berger,et al.  Interplay of somatic alterations and immune infiltration modulates response to PD-1 blockade in advanced clear cell renal cell carcinoma , 2020, Nature Medicine.

[8]  G. Mills,et al.  Multiplex digital spatial profiling of proteins and RNA in fixed tissue , 2020, Nature Biotechnology.

[9]  Nicolai J. Birkbak,et al.  The T cell differentiation landscape is shaped by tumour mutations in lung cancer , 2020, Nature Cancer.

[10]  X. Liu,et al.  Mammalian SWI/SNF Complex Genomic Alterations and Immune Checkpoint Blockade in Solid Tumors , 2020, Cancer Immunology Research.

[11]  Alexander V Penson,et al.  Phase and context shape the function of composite oncogenic mutations , 2020, Nature.

[12]  M. Atkins,et al.  Checkpoint inhibitor immunotherapy in kidney cancer , 2020, Nature Reviews Urology.

[13]  A. Kallies,et al.  Precursor exhausted T cells: key to successful immunotherapy? , 2019, Nature Reviews Immunology.

[14]  Nicholas Borcherding,et al.  scRepertoire: An R-based toolkit for single-cell immune receptor analysis , 2020, F1000Research.

[15]  Jeffrey E. Lee,et al.  B cells and tertiary lymphoid structures promote immunotherapy response , 2020, Nature.

[16]  A. Kamphorst,et al.  An intra-tumoral niche maintains and differentiates stem-like CD8 T cells , 2019, Nature.

[17]  E. Papaemmanuil,et al.  Epigenetic therapy of myelodysplastic syndromes connects to cellular differentiation independently of endogenous retroelement derepression , 2019, Genome Medicine.

[18]  A. Rowan,et al.  Escape from nonsense-mediated decay associates with anti-tumor immunogenicity , 2019, Nature Communications.

[19]  A. Ravaud,et al.  Clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial , 2019, Nature Medicine.

[20]  Johannes G. Reiter,et al.  Evolutionary Origins of Recurrent Pancreatic Cancer , 2019, bioRxiv.

[21]  Peter Schmid,et al.  Spatial heterogeneity of the T cell receptor repertoire reflects the mutational landscape in lung cancer , 2019, Nature Medicine.

[22]  A. Snijders,et al.  LTR retroelement expansion of the human cancer transcriptome and immunopeptidome revealed by de novo transcript assembly , 2019, Genome research.

[23]  E. V. Van Allen,et al.  Clinical Validation of PBRM1 Alterations as a Marker of Immune Checkpoint Inhibitor Response in Renal Cell Carcinoma. , 2019, JAMA oncology.

[24]  Martin L. Miller,et al.  UVB-Induced Tumor Heterogeneity Diminishes Immune Response in Melanoma , 2019, Cell.

[25]  K. Bensalah,et al.  Updated European Association of Urology Guidelines on Renal Cell Carcinoma: Immune Checkpoint Inhibition Is the New Backbone in First-line Treatment of Metastatic Clear-cell Renal Cell Carcinoma. , 2019, European urology.

[26]  Yong Liu,et al.  TOX is a critical regulator of tumour-specific T cell differentiation , 2019, Nature.

[27]  S. Berger,et al.  TOX transcriptionally and epigenetically programs CD8+ T cell exhaustion , 2019, Nature.

[28]  Z. Szallasi,et al.  Neoantigen-directed immune escape in lung cancer evolution , 2019, Nature.

[29]  Evan Z. Macosko,et al.  Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution , 2019, Science.

[30]  Jianjun Hu,et al.  The Transcription Factor TCF1 Preserves the Effector Function of Exhausted CD8 T Cells During Chronic Viral Infection , 2019, Front. Immunol..

[31]  I. Amit,et al.  Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma , 2019, Cell.

[32]  P. Catalano,et al.  irRECIST for the Evaluation of Candidate Biomarkers of Response to Nivolumab in Metastatic Clear Cell Renal Cell Carcinoma: Analysis of a Phase II Prospective Clinical Trial , 2019, Clinical Cancer Research.

[33]  Paul J. Hoover,et al.  Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma , 2019, Cell.

[34]  P. Linsley,et al.  Renal Cell Carcinoma (RCC) Tumors Display Large Expansion of Double Positive (DP) CD4+CD8+ T Cells With Expression of Exhaustion Markers , 2018, Front. Immunol..

[35]  Sara R. Selitsky,et al.  Endogenous retroviral signatures predict immunotherapy response in clear cell renal cell carcinoma , 2018, The Journal of clinical investigation.

[36]  F. Marincola,et al.  Evolution of Metastases in Space and Time under Immune Selection , 2018, Cell.

[37]  G. Bhanot,et al.  Endogenous retrovirus expression is associated with response to immune checkpoint blockade in clear cell renal cell carcinoma. , 2018, JCI insight.

[38]  P. Lønning,et al.  Patterns of genomic evolution in advanced melanoma , 2018, Nature Communications.

[39]  Boxi Kang,et al.  Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing , 2018, Nature Medicine.

[40]  Wyeth W. Wasserman,et al.  Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer , 2018, Cell.

[41]  J. Reeves,et al.  Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma , 2018, Nature Medicine.

[42]  P. Tan,et al.  High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer , 2018, Front. Immunol..

[43]  D. Schadendorf,et al.  Genomic correlates of response to immune checkpoint blockade in microsatellite-stable solid tumors , 2018, Nature Genetics.

[44]  Paolo A Ascierto,et al.  Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer. , 2018, Cancer cell.

[45]  C. Swanton,et al.  The function and dysfunction of memory CD8+ T cells in tumor immunity , 2018, Immunological reviews.

[46]  M. Fehlings,et al.  Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates , 2018, Nature.

[47]  G. Mayhew,et al.  Tracking Cancer Evolution Reveals Constrained Routes to Metastases: TRACERx Renal , 2018, Cell.

[48]  Zoltan Szallasi,et al.  Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal , 2018, Cell.

[49]  Paul T. Spellman,et al.  The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma , 2018, Cell reports.

[50]  Mark W. Ball,et al.  Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma , 2018, Science.

[51]  J. Stoye,et al.  Physiological and Pathological Transcriptional Activation of Endogenous Retroelements Assessed by RNA-Sequencing of B Lymphocytes , 2017, Front. Microbiol..

[52]  C. Drake,et al.  Biomarkers for immunotherapy in bladder cancer: a moving target , 2017, Journal of Immunotherapy for Cancer.

[53]  T. Chan,et al.  Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab , 2017, Cell.

[54]  Nicolai J. Birkbak,et al.  Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysis. , 2017, The Lancet. Oncology.

[55]  P. Bradley,et al.  Quantifiable predictive features define epitope-specific T cell receptor repertoires , 2017, Nature.

[56]  Alessandro Sette,et al.  Identifying specificity groups in the T cell receptor repertoire , 2017, Nature.

[57]  C. Swanton,et al.  Evolving adoptive cellular therapies in urological malignancies. , 2017, The Lancet. Oncology.

[58]  Jedd D. Wolchok,et al.  T-cell invigoration to tumour burden ratio associated with anti-PD-1 response , 2017, Nature.

[59]  N. Moitt,et al.  Cancer incidence and mortality projections in the UK until 2035 , 2016, British Journal of Cancer.

[60]  K. Jirström,et al.  Prognostic impact of tumour‐infiltrating B cells and plasma cells in colorectal cancer , 2016, International journal of cancer.

[61]  E. V. Van Allen,et al.  Tumor Mutational Load and Immune Parameters across Metastatic Renal Cell Carcinoma Risk Groups , 2016, Cancer Immunology Research.

[62]  Patrick Danaher,et al.  Gene expression markers of Tumor Infiltrating Leukocytes , 2016, Journal of Immunotherapy for Cancer.

[63]  Matheus C. Bürger,et al.  Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy , 2016, Nature.

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

[65]  P. Lønning,et al.  Intra-patient Inter-metastatic Genetic Heterogeneity in Colorectal Cancer as a Key Determinant of Survival after Curative Liver Resection , 2016, PLoS genetics.

[66]  Eric Talevich,et al.  CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing , 2016, PLoS Comput. Biol..

[67]  Nicolai J. Birkbak,et al.  Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade , 2016, Science.

[68]  M. Kloor,et al.  The Immune Biology of Microsatellite-Unstable Cancer. , 2016, Trends in cancer.

[69]  E. Vibert,et al.  Evidence of intermetastatic heterogeneity for pathological response and genetic mutations within colorectal liver metastases following preoperative chemotherapy , 2016, Oncotarget.

[70]  Morten Nielsen,et al.  Gapped sequence alignment using artificial neural networks: application to the MHC class I system , 2016, Bioinform..

[71]  W. Linehan,et al.  Detection of an Immunogenic HERV-E Envelope with Selective Expression in Clear Cell Kidney Cancer. , 2016, Cancer research.

[72]  A. Ravaud,et al.  Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma. , 2015, The New England journal of medicine.

[73]  K. Cibulskis,et al.  Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes , 2015, Nature Biotechnology.

[74]  B. Vogelstein,et al.  PD-1 blockade in tumors with mismatch repair deficiency. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

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

[76]  Ash A. Alizadeh,et al.  Robust enumeration of cell subsets from tissue expression profiles , 2015, Nature Methods.

[77]  N. Hacohen,et al.  Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity , 2015, Cell.

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

[79]  Peter S. Linsley,et al.  Copy Number Loss of the Interferon Gene Cluster in Melanomas Is Linked to Reduced T Cell Infiltrate and Poor Patient Prognosis , 2014, PloS one.

[80]  P. A. Futreal,et al.  Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing , 2014, Nature Genetics.

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

[82]  Wei Shi,et al.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..

[83]  S. Poletajew,et al.  Spontaneous regression of renal cell carcinoma , 2013, Contemporary oncology.

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

[85]  A. Børresen-Dale,et al.  Copynumber: Efficient algorithms for single- and multi-track copy number segmentation , 2012, BMC Genomics.

[86]  A. McKenna,et al.  Absolute quantification of somatic DNA alterations in human cancer , 2012, Nature Biotechnology.

[87]  Colin N. Dewey,et al.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome , 2011, BMC Bioinformatics.

[88]  Paul T. Spellman,et al.  Parent-specific copy number in paired tumor-normal studies using circular binary segmentation , 2011, Bioinform..

[89]  Ruth L. Seal,et al.  A revised nomenclature for transcribed human endogenous retroviral loci , 2011, Mobile DNA.

[90]  M. Fassan,et al.  Microsatellite instability and hMLH1 and hMSH2 expression in renal tumors. , 2010, Oncology reports.

[91]  H. Hakonarson,et al.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data , 2010, Nucleic acids research.

[92]  Israel Lowy,et al.  Phase I study of single-agent anti-programmed death-1 (MDX-1106) in refractory solid tumors: safety, clinical activity, pharmacodynamics, and immunologic correlates. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[93]  Wanling Xie,et al.  Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[94]  Ken Chen,et al.  VarScan: variant detection in massively parallel sequencing of individual and pooled samples , 2009, Bioinform..

[95]  Arianna Di Napoli,et al.  Patterns of gene expression and copy-number alterations in von-hippel lindau disease-associated and sporadic clear cell carcinoma of the kidney. , 2009, Cancer research.

[96]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[97]  S. Steinberg,et al.  High‐dose interleukin‐2 for the treatment of metastatic renal cell carcinoma , 2008, Cancer.

[98]  J Philip McCoy,et al.  Regression of human kidney cancer following allogeneic stem cell transplantation is associated with recognition of an HERV-E antigen by T cells. , 2008, The Journal of clinical investigation.

[99]  G. Freeman,et al.  Restoring function in exhausted CD8 T cells during chronic viral infection , 2006, Nature.

[100]  G. Zhu,et al.  B7-H1, a third member of the B7 family, co-stimulates T-cell proliferation and interleukin-10 secretion , 1999, Nature Medicine.

[101]  W. Linehan,et al.  Experience with the Use of High‐Dose Interleukin‐2 in the Treatment of 652 Cancer Patients , 1989, Annals of surgery.

[102]  W. Cole,et al.  Spontaneous Regression of Cancer: preliminary Report , 1956 .

[103]  B. Chain,et al.  Quantitative analysis of the T cell receptor repertoire. , 2019, Methods in enzymology.

[104]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[105]  O. Lund,et al.  NetMHCpan, a method for MHC class I binding prediction beyond humans , 2008, Immunogenetics.