Genomically annotated risk model for advanced renal-cell carcinoma: a retrospective cohort study.

The Memorial Sloan Kettering Cancer Center (MSKCC) risk model is an established prognostic tool for metastatic renal-cell carcinoma that integrates clinical and laboratory data, but is agnostic to tumour genomics. Several mutations, including BAP1 and PBRM1, have prognostic value in renal-cell carcinoma. Using two independent clinical trial datasets of patients with metastatic renal-cell carcinoma, we aimed to study whether the addition of the mutation status for several candidate prognostic genes to the MSKCC model could improve the model's prognostic performance. In this retrospective cohort study, we used available formalin-fixed paraffin-embedded tumour tissue and clinical outcome data from patients with metastatic renal-cell carcinoma assigned to treatment with tyrosine kinase inhibitors in the COMPARZ trial (training cohort; n=357) and RECORD-3 trial (validation cohort; n=258). Eligible patients in both trials were treatment-naive; had histologically confirmed, advanced, or metastatic renal-cell carcinoma; and a Karnofsky performance status score of at least 70. For each cohort, data from patients in all treatment groups (sunitinib and pazopanib in the training cohort, and everolimus and sunitinib in the validation cohort) were pooled for this analysis. In the training cohort, tumour tissue was used to evaluate somatic mutations by next-generation sequencing, and the association between cancer-specific outcomes (overall survival, progression-free survival, and overall response) and the mutation status of six genes of interest (BAP1, PBRM1, TP53, TERT, KDM5C, and SETD2) was tested. Only those genes with prognostic value in this setting were added to the MSKCC risk model to create a genomically annotated version. The validation cohort was used to independently test the prognostic value of the annotated model compared with the original MSKCC risk model. 357 (32%) of 1110 patients assigned to protocol treatment in the COMPARZ study between August, 2008, and September, 2011, were evaluable for mutation status and clinical outcomes in the training cohort. The independent validation cohort included 258 (55%) of 471 evaluable patients, enrolled between October, 2009, and June, 2011, on the RECORD-3 study. In the training cohort, the presence of any mutation in BAP1 or TP53, or both, and absence of any mutation in PBRM1 were prognostic in terms of overall survival (TP53wt/BAP1mut, TP53mut/BAP1wt o TP53mut/BAP1mut vs TP53wt/BAP1wt hazard ratio [HR] 1·57, 95% CI 1·21-2·04; p=0·0008; PBRM1wt vs PBRMmut, HR 1·58, 1·16-2·14; p=0·0035). The mutation status for these three prognostic genes were added to the original MSKCC risk model to create a genomically annotated version. Distribution of participants in the training cohort into the three risk groups of the original MSKCC model changed from 87 (24%) of 357 patients deemed at favourable risk, 217 (61%) at intermediate risk, and 53 (15%) at poor risk, to distribution across four risk groups in the genomically annotated risk model, with 36 (10%) of 357 deemed at favourable risk, 77 (22%) at good risk, 108 (30%) at intermediate risk, and 136 (38%) at poor risk. Addition of genomic information improved model performance for predicting overall survival (C-index: original model, 0·595 [95% CI 0·557-0·634] vs new model, 0·637 [0·595-0·679]) and progression-free survival (0·567 [95% CI 0·529-0·604] vs 0·602 [0·560-0·643]) with adequate discrimination of the proportion of patients who achieved an objective response (Cochran-Armitage one-sided p=0·0014). Analyses in the validation cohort confirmed the superiority of the genomically annotated risk model over the original version. The mutation status of BAP1, PBRM1, and TP53 has independent prognostic value in patients with advanced or metastatic renal-cell carcinoma treated with first-line tyrosine kinase inhibitors. Improved stratification of patients across risk groups by use of a genomically annotated model including the mutational status of these three genes warrants further investigation in prospective trials and could be of use as a model to stratify patients with metastatic renal-cell carcinoma in clinical trials. Novartis Pharmaceuticals Corporation, MSKCC Support Grant/Core Grant, and the J Randall & Kathleen L MacDonald Research Fund.

Voss MH ，Reising A ，Cheng Y ，Patel P ，Marker M ，Kuo F ，Chan TA ，Choueiri TK ，Hsieh JJ ，Hakimi AA ，Motzer RJ ... -  《-》

Genomic Biomarkers of a Randomized Trial Comparing First-line Everolimus and Sunitinib in Patients with Metastatic Renal Cell Carcinoma.

Metastatic renal cell carcinoma (RCC) patients are commonly treated with vascular endothelial growth factor (VEGF) inhibitors or mammalian target of rapamycin inhibitors. Correlations between somatic mutations and first-line targeted therapy outcomes have not been reported on a randomized trial. To evaluate the relationship between tumor mutations and treatment outcomes in RECORD-3, a randomized trial comparing first-line everolimus (mTOR inhibitor) followed by sunitinib (VEGF inhibitor) at progression with the opposite sequence in 471 metastatic RCC patients. Targeted sequencing of 341 cancer genes at ∼540× coverage was performed on available tumor samples from 258 patients; 220 with clear cell histology (ccRCC). Associations between somatic mutations and median first-line progression free survival (PFS1L) and overall survival were determined in metastatic ccRCC using Cox proportional hazards models and log-rank tests. Prevalent mutations (≥ 10%) were VHL (75%), PBRM1 (46%), SETD2 (30%), BAP1 (19%), KDM5C (15%), and PTEN (12%). With first-line everolimus, PBRM1 and BAP1 mutations were associated with longer (median [95% confidence interval {CI}] 12.8 [8.1, 18.4] vs 5.5 [3.1, 8.4] mo) and shorter (median [95% CI] 4.9 [2.9, 8.1] vs 10.5 [7.3, 12.9] mo) PFS1L, respectively. With first-line sunitinib, KDM5C mutations were associated with longer PFS1L (median [95% CI] of 20.6 [12.4, 27.3] vs 8.3 [7.8, 11.0] mo). Molecular subgroups of metastatic ccRCC based on PBRM1, BAP1, and KDM5C mutations could have predictive values for patients treated with VEGF or mTOR inhibitors. Most tumor DNA was obtained from primary nephrectomy samples (94%), which could impact correlation statistics. PBRM1, BAP1, and KDM5C mutations impact outcomes of targeted therapies in metastatic ccRCC patients. Large-scale genomic kidney cancer studies reported novel mutations and heterogeneous features among individual tumors, which could contribute to varied clinical outcomes. We demonstrated correlations between somatic mutations and treatment outcomes in clear cell renal cell carcinoma, supporting the value of genomic classification in prospective studies.

Hsieh JJ ，Chen D ，Wang PI ，Marker M ，Redzematovic A ，Chen YB ，Selcuklu SD ，Weinhold N ，Bouvier N ，Huberman KH ，Bhanot U ，Chevinsky MS ，Patel P ，Pinciroli P ，Won HH ，You D ，Viale A ，Lee W ，Hakimi AA ，Berger MF ，Socci ND ，Cheng EH ，Knox J ，Voss MH ，Voi M ，Motzer RJ ... -  《-》

Effects on survival of BAP1 and PBRM1 mutations in sporadic clear-cell renal-cell carcinoma: a retrospective analysis with independent validation.

Clear-cell renal-cell carcinomas display divergent clinical behaviours. However, the molecular genetic events driving these behaviours are unknown. We discovered that BAP1 is mutated in about 15% of clear-cell renal-cell carcinoma, and that BAP1 and PBRM1 mutations are largely mutually exclusive. The aim of this study was to investigate the clinicopathological significance of these molecular subtypes and to determine whether patients with BAP1-mutant and PBRM1-mutant tumours had different overall survival. In this retrospective analysis, we assessed 145 patients with primary clear-cell renal-cell carcinoma and defined PBRM1 and BAP1 mutation status from the University of Texas Southwestern Medical Center (UTSW), TX, USA, between 1998 and 2011. We classified patients into those with BAP1-mutant tumours and those with tumours exclusively mutated for PBRM1 (PBRM1-mutant). We used a second independent cohort (n=327) from The Cancer Genome Atlas (TCGA) for validation. In both cohorts, more than 80% of patients had localised or locoregional disease at presentation. Overall both cohorts were similar, although the TCGA had more patients with metastatic and higher-grade disease, and more TCGA patients presented before molecularly targeted therapies became available. The median overall survival in the UTSW cohort was significantly shorter for patients with BAP1-mutant tumours (4·6 years; 95% CI 2·1-7·2), than for patients with PBRM1-mutant tumours (10·6 years; 9·8-11·5), corresponding to a HR of 2·7 (95% CI 0·99-7·6, p=0·044). Median overall survival in the TCGA cohort was 1·9 years (95% CI 0·6-3·3) for patients with BAP1-mutant tumours and 5·4 years (4·0-6·8) for those with PBRM1-mutant tumours. A HR similar to the UTSW cohort was noted in the TCGA cohort (2·8; 95% CI 1·4-5·9; p=0·004). Patients with mutations in both BAP1 and PBRM1, although a minority (three in UTSW cohort and four in TCGA cohort), had the worst overall survival (median 2·1 years, 95% CI 0·3-3·8, for the UTSW cohort, and 0·2 years, 0·0-1·2, for the TCGA cohort). Our findings identify mutation-defined subtypes of clear-cell renal-cell carcinoma with distinct clinical outcomes, a high-risk BAP1-mutant group and a favourable PBRM1-mutant group. These data establish the basis for a molecular genetic classification of clear-cell renal-cell carcinoma that could influence treatment decisions in the future. The existence of different molecular subtypes with disparate outcomes should be considered in the design and assessment of clinical studies. Cancer Prevention and Research Institution of Texas and National Cancer Institute.

Kapur P ，Peña-Llopis S ，Christie A ，Zhrebker L ，Pavía-Jiménez A ，Rathmell WK ，Xie XJ ，Brugarolas J ... -  《-》

Commentary on "Effects on survival of BAP1 and PBRM1 mutations in sporadic clear-cell renal-cell carcinoma: a retrospective analysis with independent validation." Kapur P, Peña-Llopis S, Christie A, Zhrebker L, Pavía-Jiménez A, Rathmell WK, Xie XJ, Brugar

Clear-cell renal-cell carcinomas display divergent clinical behaviours. However, the molecular genetic events driving these behaviours are unknown. We discovered that BAP1 is mutated in about 15% of clear-cell renal-cell carcinoma, and that BAP1 and PBRM1 mutations are largely mutually exclusive. The aim of this study was to investigate the clinicopathological significance of these molecular subtypes and to determine whether patients with BAP1-mutant and PBRM1-mutant tumours had different overall survival. In this retrospective analysis, we assessed 145 patients with primary clear-cell renal-cell carcinoma and defined PBRM1 and BAP1 mutation status from the University of Texas Southwestern Medical Center (UTSW), TX, USA, between 1998 and 2011. We classified patients into those with BAP1-mutant tumours and those with tumours exclusively mutated for PBRM1 (PBRM1-mutant). We used a second independent cohort (n=327) from The Cancer Genome Atlas (TCGA) for validation. In both cohorts, more than 80% of patients had localised or locoregional disease at presentation. Overall both cohorts were similar, although the TCGA had more patients with metastatic and higher-grade disease, and more TCGA patients presented before molecularly targeted therapies became available. The median overall survival in the UTSW cohort was significantly shorter for patients with BAP1-mutant tumours (4·6 years; 95% CI 2·1-7·2), than for patients with PBRM1-mutant tumours (10·6 years; 9·8-11·5), corresponding to a HR of 2·7 (95% CI 0·99-7·6, p=0·044). Median overall survival in the TCGA cohort was 1·9 years (95% CI 0·6-3·3) for patients with BAP1-mutant tumours and 5·4 years (4·0-6·8) for those with PBRM1-mutant tumours. A HR similar to the UTSW cohort was noted in the TCGA cohort (2·8; 95% CI 1·4-5·9; p=0·004). Patients with mutations in both BAP1 and PBRM1, although a minority (three in UTSW cohort and four in TCGA cohort), had the worst overall survival (median 2·1 years, 95% CI 0·3-3·8, for the UTSW cohort, and 0·2 years, 0·0-1·2, for the TCGA cohort). Our findings identify mutation-defined subtypes of clear-cell renal-cell carcinoma with distinct clinical outcomes, a high-risk BAP1-mutant group and a favourable PBRM1-mutant group. These data establish the basis for a molecular genetic classification of clear-cell renal-cell carcinoma that could influence treatment decisions in the future. The existence of different molecular subtypes with disparate outcomes should be considered in the design and assessment of clinical studies. Cancer Prevention and Research Institution of Texas and National Cancer Institute.

Boorjian S 《-》

Adverse outcomes in clear cell renal cell carcinoma with mutations of 3p21 epigenetic regulators BAP1 and SETD2: a report by MSKCC and the KIRC TCGA research network.

Hakimi AA ，Ostrovnaya I ，Reva B ，Schultz N ，Chen YB ，Gonen M ，Liu H ，Takeda S ，Voss MH ，Tickoo SK ，Reuter VE ，Russo P ，Cheng EH ，Sander C ，Motzer RJ ，Hsieh JJ ，ccRCC Cancer Genome Atlas (KIRC TCGA) Research Network investigators ... -  《-》