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Molecular Genetics for the Practicing Physician: Can the Cancer Genome Atlas Impact How We Treat Patients? Gabriel G. Malouf, MD, PhD Assistant Professor Pitié-Salpêtriètre Hospital Assistance-Publique Hôpitaux de Paris Paris, France Outline I. Cell of Origin of Kidney Tumors II. Diagnostic Markers and Therapeutic Targets III. Predictive Biomarkers Renal Cell Carcinoma is NOT a Single Disease Clear cell RCC Papillary RCC Type 1 Type 2 Chromophobe RCC Translocation RCC Collecting Duct RCC Mucinous tubular & spindle cell RCC The Cancer Genome Atlas (TCGA) Project (2006-2016) Clear-cell RCC (n=417) Papillary RCC (n=161) Chromophobe (n=66) TCGA, Nature Genetics, 2013 • Clear-cell RCC1 • Chromophobe RCC2 • Papillary RCC3 • Tumor biology Molecular Genetics TCGA Patients Practicing Physicians • Pathologist • Urologist • Radiologist • Medical Oncologist • Radiation Oncologist • Comorbidities • Optimal therapy to improve survival and quality of life 1TCGA, Nature, 2013 2Davis C et al, Cancer Cell, 2014 3Linehan WM et al. NEJM, 2015 I. Cell of Origin of Kidney Tumors Distal nephrons Thick ascending limbs of the loop of Henle Glomeruli Distal Convoluted tubules Proximal tubules Hierarchical Clustering of Gene Expression in Kidney Structure cTAL = cortical TAL, mTAL =medullary TAL, DCT= distal convoluted tubules, CNT= connecting tubules, OMCD = outer medullary collecting ducts Cheval L et al. Physiol. Genomics, 2010 DNA Methylation and Gene Expression Differences Between ChrRCC and ccRCC CCD = cortical collecting ducts; ccRCC = clear cell renal cell carcinoma; chRCC = chromophobe renal cell carcinoma; cTAL = cortical thick ascending limbs of the loop of Henle; DCT = distal convoluted tubules; Glom = glomeruli; mTAL =medullary thick ascending limbs of the loop of Henle; OMCD = outer medullary collecting ducts; TCGA = The Cancer Genome Atlas. Davis C et al, Cancer Cell, 2014 Survival Prediction of Clear-cell Renal Cell Carcinomas Based on Gene Expression Similarity to the Proximal Tubule of the Nephron Clustering of renal cell carcinoma (RCC) tumours by means of gene expression correlation between profiles of tumours and profiles of human nephron cell types Clustering of renal Cancer-specific survival (CSS) of clear cell renal cell carcinoma (ccRCC) tumours predicted by the S3-score Büttner et al, Eur Urol, 2015 DNA Methylation Establishes the Foundation of RCC Ontogeny C1 C2 Malouf GG et al, ASCO GU 2016 II. Diagnostic Markers and Therapeutic Targets Incidence of Fusion Transcripts Detected in TCGA Clear-cell RCC TCGA KIRC dataset (n=460) No Translocation* (n=379) MITF family RCC (n=7) (1.9%) PRCC/TFE3 (n=5) KHSRP/TFE3 (n=1) KHDRBS2/TFEB (n=1) Translocation (n=81) (17.6%) Previously known gene fusions (n=12) FHIT (n=2), SLC9A9 (n=2), AFF1 (n=1), MKL1 (n=1), LHFP (n=1), JAK2 (n=1), ELL (n=1), DCX (n=1), EP300 (n=1) & LNP1 (n=1) Novel fusions (n=62) Malouf GG et al. Clin Cancer Res, 2014 Incidence of Fusion Transcripts Detected in TCGA Papillary RCC TCGA KIRP dataset (n=161) No Translocation* (n=144) Non MITF family RCC (n=9) Translocation (n=17) (10.6%) MITF family RCC (n=8) 7 out of 60 Papillary Type II (11.6%) 1 out of 101 Papillary type I (1%) Linehan WM et al. NEJM, 2015 A Subgroup of Papillary RCC Manifests a CpG Island Methylator Phenotype (CIMP) and FH Mutations Linehan WM et al. NEJM, 2015 ChRCC with Eosinophilic Variants Resemble Oncocytoma Type II Davis C et al, Cancer Cell, 2014 Joshi et al, Cell Reports, 2015 Putative Therapeutic Targets in Clear-cell RCC TCGA, Nature, 2013 Putative Therapeutic Targets in Papillary RCC Linehan WM et al. NEJM, 2015 III. Predictive Biomarkers TCGA Transcriptomic Classification of ccRCC Four subgroups Response to sunitinib TCGA, Nature, 2013 Beuselinck, Clin Cancer Res, 2015 Overall Survival in Two Independent Datasets of ccRCC HR= hasard ratio. (A) UT South Western cohort (B) TCGA cohort Kapur P et al, Lancet Oncol, 2013 While Many Biomarkers Are Associated in Univariate Analysis with Outcome in TCGA Clear-Cell RCC, only ccB Remains in Multivariate Analysis • Clinical and pathological charecteristics • Somatic mutations • Somatic copy number expression • Gene expression analysis Gulati S et al, Eur Urol, 2014 Tumor-based Biomarkers Confounded by Intratumor Heterogeneity 63-69% of all mutations not detectable across regions in same tumor Gerlinger et al. NEJM, 2012 Multi-Region Sequencing of Clear-cell Renal Cell Carcinoma Multi-Region Sequencing of RCC with IVC Thrombus Long-non coding RNA Classification of ccRCC Reveals Four Subtypes Associated with Clinical Outcome Malouf GG et al, Molecular Oncology , 2015 CIMP Defines a Subtype of Clear-cell Renal Cell Carcinomas with Poor Outcome Cluster 1: CpG Island Methylator Phenotype (CIMP) low; Cluster 2: CIMP negative; Cluster 3: CIMP positive Malouf GG et al, Unpublished Conclusions • Understanding ontogeny of different RCC subtypes will provide insights on tumorigenesis • To date, there are no approved biomarkers to predict recurrence after nephrectomy or response to therapy • Frequent mutations in chromatin modifying genes in both ccRCC and pRCC imply a role for epigenetic therapy Conclusions (continued) • Inter- and intra-tumoral genetic heterogeneity might hamper the development of predictive and prognostic genetic biomarkers in RCC • Mutational Convergence in chromatin modifying genes highlights the importance of epigenetic drift in the evolution of aggressive RCC clones • Epigenetic biomarkers might be more stable and therefore should be pursued for precision medicine Acknowledgements • Pitié-Salpêtrière Hospital, Paris, France • Pr David Khayat (Oncology) • Pr Jean-Philippe Spano (Oncology) • Dr Haide Boostandoost (Oncology) • Pr Eva Compérat (Pathology) • Pr Morgan Rouprêt (Urology) • Dr Jérôme Parra (Urology) • Dr Christophe Vaessen (Urology) • Fondation AVEC laboratory, Paris, France • Dr Roger Mouawad, PhD • Frédérick Allanick, Ms • Dr Souheyla Bensalma, PhD • Dr Linda Denaise, MD, PhDc • Dr Marion Classe, MD, PhDc • Dr Ronan Flippot, MD, MS • Temple University, Philadelphia, USA • Jaroslav Jelinek • Jean-Pierre Issa • MD Anderson Cancer Center, Houston, USA • Pr Nizar M. Tannir (Medical Oncology) • Dr Xiaoping Su (Bionformatics) • Dr Hui Yao (Bionformatics) • Dr Jose A. Karam (Urology) • Pr Christopher G. Wood (Urology) • The patients and their families