Literature DB >> 32571992

DNA damage repair pathway alterations in metastatic clear cell renal cell carcinoma and implications on systemic therapy.

Yasser Ged1, Joshua L Chaim2, Renzo G DiNatale3, Andrea Knezevic4, Ritesh R Kotecha1, Maria I Carlo1, Chung-Han Lee1, Ashley Foster1, Darren R Feldman1, Min Yuen Teo1, Gopakumar Iyer1, Timothy Chan5, Sujata Patil4, Robert J Motzer1, A Ari Hakimi3, Martin H Voss6.   

Abstract

BACKGROUND: Loss-of-function alterations in DNA damage repair (DDR) genes are associated with human tumorigenesis and may determine benefit from immune-oncology (I/O) agents as shown in colon cancer. However, biologic significance and relevance to I/O in metastatic clear cell RCC (ccRCC) are unknown.
METHODS: Genomic data and treatment outcomes were retrospectively collected for patients with metastatic ccRCC. Tumor and germline DNA were subject to targeted next generation sequencing across >400 genes of interest, including 34 DDR genes. Patients were dichotomized according to underlying DDR gene alteration into (1) deleterious DDR gene alterations present (Del DDR); (2) wild-type (WT) and variants of unknown significance (VUS) DDR gene alterations present (WT/VUS DDR). Association between DDR status and therapeutic benefit was investigated separately for I/O and vascular endothelial growth factor (VEGF) tyrosine kinase inhibitor (TKI) therapy.
RESULTS: Del DDR were detected in 43/229 patients (19%). The most frequently altered genes were CHEK2 and ATM. Clonality analysis was performed in 27 somatic DDR mutations and 17 were clonal (63%). For patients with I/O treatment, Del DDR status was associated with superior overall survival (log-rank p=0.049); after adjusting for International Metastatic Renal Cell Carcinoma Database Consortium risks and extent of prior therapy, the HR for Del DDR was 0.41 (95% CI: 0.14-1.14; p=0.09). No association was seen with VEGF-TKI treatment (log-rank p=0.903).
CONCLUSION: Del DDR alterations are recurrent genomic events in patients with advanced RCC and were mostly clonal in this cohort. Loss-of-function events in these genes may affect outcome with I/O therapy in metastatic RCC, and these hypothesis-generating results deserve further study. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  genetics; immunology; oncology

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Year:  2020        PMID: 32571992      PMCID: PMC7311069          DOI: 10.1136/jitc-2019-000230

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Background

The therapeutic armamentarium for clear cell renal cell carcinoma (ccRCC) has notably expanded over the past decades due to an advanced understanding of the disease biology and targetable pathways.1 For years, vascular endothelial growth factor (VEGF) receptor tyrosine kinase inhibitors (TKIs) were the most effective treatment options both in the first-line2 3 and refractory line settings.4 5 Recently, immune-oncology (I/O) agents including monoclonal antibodies targeting the programmed cell death-1/programmed cell death-ligand 1 (PD-1/PD-L1) and cytotoxic t-cell lymphocyte-4 (CTLA-4) checkpoints 6 7 have revolutionized the treatment landscape for patients with metastatic ccRCC representing a new standard of care and a backbone in evolving therapeutic strategies. However, not all patients benefit equally from I/O agents, and thus far, no validated biomarkers are currently used to guide treatment selection for individual patients. The DNA damage repair (DDR) pathways consist of multiple interconnected cellular signaling pathways that are activated in response to DNA damage. As a network, these pathways can coordinate a cascade of events, including cell cycle arrest, regulation of DNA replication, and the repair or bypass of DNA damage.8 Since multiple key DDR genes have functional overlap, defects in DDR genes can be a source of genomic instability and may sensitize responses to I/O agents possibly through the production of tumor-associated neoantigen and/or the activation of the stimulator of interferon genes (STING) pathway.9 10 This conceptually has been clinically supported by the robust clinical benefit of solid tumors exhibiting high microsatellite instability (MSI-H) and subsequent high hypermutation rates to the anti-PD-1 antibody pembrolizumab.11 More recently, the presence of deleterious DDR gene alterations in bladder cancer was shown to be associated with improved clinical outcomes in patients treated with I/O agents.12 Based on these observations, we retrospectively examined a cohort of 229 patients with metastatic ccRCC at the Memorial Sloan Kettering Cancer Center (MSKCC) who underwent targeted exon sequencing of tumor tissue by next generation sequencing (NGS) to define the frequency of DDR gene alterations. We then described the clinical phenotype of patients harboring deleterious DDR gene alterations in their tumors and studied their significance for clinical outcomes with standard systemic therapies (I/O agents and VEGF-TKI).

Methods

Study subjects

Patients treated at MSKCC for metastatic RCC between January 2013 and October 2017 were retrospectively identified from an institutional database using an institutional review board approved protocol. Eligible patients were those with metastatic ccRCC who received anti-kidney cancer systemic therapy and underwent tumor-directed molecular profiling by targeted NGS using our institutional Memorial Sloan Kettering Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) platform.13 Patients’ demographics, International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk status, treatment details, therapeutic outcomes and survival status were recorded.

Genomic sequencing analysis

Tumors and matched normal blood samples from patients were sequenced using MSK-IMPACT,13 a targeted NGS platform performed in a Clinical Laboratory Improvement Amendments (CLIA) certified laboratory that consists of a targeted panel with >400 cancer-associated genes including 34 DDR genes. Raw sequencing data alignment was performed to human genome and mutations were called using our previously validated pipeline.13 14 Dedicated analysis for germline variants was conducted across 76 genes associated with cancer predisposition, including 21 DDR genes in a subset of patients who had provided consent for germline sequencing. Copy number (CN) analysis was estimated by FACETS (Fraction and Allele-Specific Copy Number Estimates from Tumor Sequencing) V.0.5.6.15 A critical value (cval) of 100 was used to run the algorithm. To estimate the fraction of CN-altered genome, we followed an approach similar to the one described by Endesfelder et al.16 Segments with absolute CN log-ratio ≥0.2 were considered to be non-diploid. The length of the CN-altered segments was divided by the sum of all segments spanning across autosomes.

DDR gene mutations’ identification and determination of functionality

In all patients included in the study, DDR gene mutations were identified from a panel of 34 DDR genes (eMethods, online supplementary material), which included genes in the checkpoint (CP), homologous recombination repair (HRR), mismatch repair (MMR), base excision repair (BER), Fanconi anemia (FA) and nucleotide excision repair (NER) pathways. This gene panel was identified from prior work within our genitourinary group. Patients were dichotomized into two categories (1) deleterious DDR: including patients harboring deleterious DDR alterations at the somatic and/or germline level; (2) wild type/VUS DDR: including patients with tumors determined to be DDR wild type and those whose tumors contained VUS DDR gene alterations. The following alterations were considered deleterious: truncating mutations (including frameshift insertion/deletion, nonsense, or splice site alterations) and functionally validated missense mutations per the annotation of the functionality in Catalogue of Somatic Mutations in Cancer (COSMIC) database17 using the FATHMM-MKL (Functional Analysis Through Hidden Markov Models- Multiple Kernel Learning) software (http://fathmm.biocompute.org.uk).18 CN alterations were not included in the definition of deleterious DDR alterations. For the germline events, the pathogenicity of each DDR germline mutation was determined as per the American College of Medical Genetics (ACMG) criteria.19 DDR gene alterations that were not deleterious as per the above methods were categorized as VUS. To determine the clonality of the DDR somatic mutations, we estimated the cancer cell fraction (CCF) as described by McGranahan et al.20 This method integrates a mutation’s variant allelic frequency, tumor purity and base-specific ploidy and re-normalizes it to calculate the CCF estimates (range: 0–1), with values closer to 1 representing a higher likelihood of clonality. In our analysis, we considered CCF values ≥0.75 as likely clonal.

Clinical outcome analysis and statistical endpoints

Baseline characteristics were summarized as frequencies and proportions for categorical variables and medians and ranges for continuous variables. Categorical variables were compared using Fisher’s exact test and continuous variables were compared using the Wilcoxon test. Studied clinical outcomes included overall survival (OS), progression-free survival (PFS) and best objective response rate (ORR). For OS and PFS, Kaplan-Meier curves were generated and compared by log-rank test. Cox proportional hazards regression for OS included as covariates deleterious DDR status, IMDC risk category at the start of therapy (favorable/intermediate/poor) for I/O and TKI analysis as a three-level categorical variable and number of prior lines of therapy received for I/O analysis as a continuous variable. The adjusted HRs for DDR and their 95% CIs are reported. Best ORR was compared between DDR groups using Fisher’s exact test. Separate investigations tested the association of DDR status and treatment outcomes on I/O and VEGF-TKI therapies. These analyses were run independently with no intended plan to formally compare outcomes per DDR status with one treatment modality versus the other. With that, patients could contribute to both analyses. For the I/O analysis, we included patients who were previously I/O naive and now first received I/O treatment including anti-PD-1 and anti-PD-L1 as a single agent or combined with anti-CTLA-4 antibodies. No combinational treatments of I/O with VEGF-TKI were included in this analysis. For the TKI analysis, we included patients previously unexposed to VEGF-directed TKI agents and investigated the association between DDR alterations and clinical outcomes with VEGF-TKI therapy. In each analysis, OS was calculated for all patients from the date of starting the studied systemic therapy in each analysis including I/O and VEGF-TKI, respectively (first received I/O in the I/O analysis and first-line VEGF-TKI in the TKI analysis), until death, censoring those patients who were alive at the date of last follow-up. Analysis of PFS and ORR was restricted to patients with formal radiographic assessment per Response Evaluation Criteria in Solid Tumors (RECIST) V.1.121 performed by a dedicated research radiologist. PFS was assessed from the date the patient initiated the studied systemic therapy in each analysis to the date of progression by RECIST V.1.1 or death. Patients who did not progress were censored at the date of their last scan. Median follow-up was calculated in censored patients. Best ORR was determined as per response assessment by RECIST V.1.1. All tests were evaluated for statistical significance at alpha level 0.05. Statistical analysis was performed using SAS V.9.4.

Results

Patients’ characteristics

A total of 229 patients were included, all of whom had received systemic therapy for metastatic ccRCC at our center. Baseline characteristics are summarized in table 1. The majority of patients had undergone nephrectomy; 37% had been diagnosed with de novo metastatic disease. IMDC risk at the start of first-line systemic therapy was favorable in 74 (34%), intermediate in 113 (53%), poor in 27 (13%) and could not be determined in 15 patients. Two hundred forty-two tumors from 229 patients were profiled using MSK-IMPACT with germline comparison. Additionally, 171/229 (75%) had consented to a protocol to explore hereditary predisposition and underwent dedicated NGS testing for germline events. NGS was predominantly performed in samples collected before the initiation of treatment (90%; 206 patients of 229). Among the two treatment analyses, the proportions of primary versus metastatic biopsies were equally balanced (online supplementary table S1).
Table 1

Patients’ characteristics

Overall cohortDeleterious DDRWild type/VUS DDR
No of patients229 (100%)43 (19%)186 (81%)
Age at diagnosis (years), median (range)60 (33–84)61 (33–74)60 (37–84)
Gender (male)168 (73%)32 (74%)136 (73%)
Nephrectomy218 (95%)41 (95%)177 (95%)
Histology
 Clear cell RCC229 (100%)43 (100%)186 (100%)
Denovo metastatic85 (37%)19 (44%)66 (35%)
IMDC risk score*
 Favorable74 (34%)15 (39%)59 (34%)
 Intermediate113 (53%)20 (51%)93 (53%)
 Poor27 (13%)4 (10%)23 (13%)
No of deleterious DDR alterations (somatic and germline)48480
 Somatic alterations35 (73%)35 (73%)0
 Germline alterations13 (27%)13 (27%)0

*Missing for 15 patients.

DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; RCC, renal cell carcinoma; VUS, variants of unknown significance.

Patients’ characteristics *Missing for 15 patients. DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; RCC, renal cell carcinoma; VUS, variants of unknown significance.

NGS findings

Across the 229 patients, 48 deleterious DDR gene alterations were identified in 43 patients (19% of the entire cohort), including 35 (73%) somatic and 13 (27%) germline deleterious DDR gene alterations (online supplementary table S2). Five patients (2%) had concurrent deleterious DDR gene alterations in two genes (three patients had both somatic and germline mutations, two patients had two somatic mutations). The most frequently altered genes were CHEK2 (n=10; including three somatic and seven germline), ATM (n=8; all somatic), MSH6 (n=4; including three somatic and one germline) and MUTYH (n=4; all germline). Alterations were noted across all pathways, including CP (n=20), HRR (n=9), MMR (n=7), BER (n=5), FA (n=4), and NER (n=3). Functionally, 33 out of the 48 alterations (69%) were in genes involved in double-strand break repair and signaling processes (CP, HRR and FA pathways) (online supplementary table S2). Clinical characteristics of patients harboring deleterious DDR alterations versus those whose tumors were DDR wild type/VUS are summarized in table 1. CCF analysis to determine clonality was estimable for 27 somatic deleterious DDR gene mutations. The analysis failed in tumors of eight somatic DDR alterations and was not performed for the germline alterations. For the majority of these (n=17; 63%), the CCF was ≥0.75, indicative of a higher likelihood that the mutations are clonal and represent early events in the disease process (figure 1).
Figure 1

Somatic deleterious DDR gene alterations in metastatic clear cell RCC are commonly clonal. The plot summarizes the distribution of 27 somatic deleterious DDR gene alterations by the CCF (y-axis) and the FCNAg (x-axis). In 17 out of 27 (63%) deleterious somatic DDR mutations, the CCF probability was ≥0.75 indicative of a higher likelihood that the mutations are clonal. CCF, cancer cell fraction; CN, copy number; DDR, DNA damage repair; FCNAg, fraction of copy number-altered genome; RCC, renal cell carcinoma.

Somatic deleterious DDR gene alterations in metastatic clear cell RCC are commonly clonal. The plot summarizes the distribution of 27 somatic deleterious DDR gene alterations by the CCF (y-axis) and the FCNAg (x-axis). In 17 out of 27 (63%) deleterious somatic DDR mutations, the CCF probability was ≥0.75 indicative of a higher likelihood that the mutations are clonal. CCF, cancer cell fraction; CN, copy number; DDR, DNA damage repair; FCNAg, fraction of copy number-altered genome; RCC, renal cell carcinoma.

Patients’ characteristics in the I/O and TKI analysis

Pertinent clinical features at the time of starting I/O and TKI therapies are summarized in tables 2 and 3, respectively. A total of 107 patients contributed to the I/O analysis, a significant proportion of these (63%) having received prior lines of systemic therapy (see table 2). Seventy-three patients (68%) received single-agent I/O therapy; the remainder (32%) received I/O combination therapy, predominantly anti-PD-1+anti-CTLA-4 directed. IMDC risk categories at the start of I/O therapy were favorable/intermediate/poor in 21%/61%/18%, respectively.
Table 2

Characteristics of 107 patients in the I/O analysis

All (n=107)Deleterious DDR (n=19)Wild type/VUS DDR (n=88)
Age at start of treatment (years), median (range)61 (40–81)60 (40–74)61 (44–81)
Gender (male)78 (73%)13 (68%)65 (74%)
Nephrectomy100 (93%)18 (95%)82 (93%)
IMDC risk score at starting I/O therapy
 Favorable23 (21%)2 (11%)21 (24%)
 Intermediate65 (61%)15 (78%)50 (57%)
 Poor19 (18%)2 (11%)17 (19%)
I/O therapy type
 Anti-PD-1 monotherapy61 (57%)10 (53%)51 (58%)
 Anti-PD-L1 monotherapy12 (11%)3 (16%)9 (10%)
 Anti-PD-1+anti-CTLA-432 (30%)5 (26%)27 (31%)
 Anti-PD-1+anti-PD-L12 (2%)1 (5%)1 (1%)
I/O therapy category
 Monotherapy73 (68%)13 (68%)60 (68%)
 Combination34 (32%)6 (32%)28 (32%)
Line of I/O therapy
 First line40 (37%)8 (42%)32 (36%)
 ≥Second line67 (63%)11 (58%)56 (64%)

CTLA-4, cytotoxic T-lymphocyte-associated protein-4; DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; I/O, immune-oncology; PD-1, programmed cell death-1; PD-L1, programmed cell death-ligand 1; VUS, variants of unknown significance.

Characteristics of 107 patients in the I/O analysis CTLA-4, cytotoxic T-lymphocyte-associated protein-4; DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; I/O, immune-oncology; PD-1, programmed cell death-1; PD-L1, programmed cell death-ligand 1; VUS, variants of unknown significance. Characteristics of 118 patients in the TKI analysis DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance. A total of 118 patients contributed to the TKI analysis, all having received monotherapy with a VEGF-directed TKI in the first-line setting, most commonly sunitinib (62%). IMDC risk categories at the start of first-line VEGF-TKI were favorable/intermediate/poor in 29%/58%/13%, respectively. Fifty-four patients contributed data to both the I/O and the TKI analyses.

Association between DDR status and outcomes to systemic therapy

Survival outcomes in the I/O and TKI analyses

In the I/O analysis, there was a total of 47 deaths for 107 patients. Median OS was 50.0 months (95% CI: 32.6–NE) with a median follow-up time for survivors of 35.8 months (range: 12–85). Median OS was not reached (95% CI: NE–NE) in the deleterious DDR group versus 39.4 months (95% CI: 26.7–NE) in the wild-type/VUS DDR group (log-rank p=0.049) (figure 2A). Survival estimates at 24 months were 78.3% (95% CI: 51.9%–91.2%) in the deleterious DDR group versus 62.4% (95% CI: 51.1%–71.8%) in the wild-type/VUS DDR group. Applying a multivariate Cox regression model with adjustment for IMDC risk and the number of previous lines of therapy, the OS HR for the presence of deleterious DDR was 0.41 (95% CI: 0.14–1.14; p=0.09).
Figure 2

Kaplan-Meier estimate of OS according to DDR gene alterations (deleterious DDR versus wild type/VUS DDR) in (A) I/O-treated patients (log-rank p=0.049) and (B) VEGF-TKI-treated patients (log-rank p=0.903). After adjustment for IMDC risk and the number of previous lines of therapy, the OS HR for the presence of deleterious DDR in the I/O analysis was 0.41 (95% CI: 0.14–1.14; p=0.09). DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; I/O, immune-oncology; OS, overall survival; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance.

Kaplan-Meier estimate of OS according to DDR gene alterations (deleterious DDR versus wild type/VUS DDR) in (A) I/O-treated patients (log-rank p=0.049) and (B) VEGF-TKI-treated patients (log-rank p=0.903). After adjustment for IMDC risk and the number of previous lines of therapy, the OS HR for the presence of deleterious DDR in the I/O analysis was 0.41 (95% CI: 0.14–1.14; p=0.09). DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; I/O, immune-oncology; OS, overall survival; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance. In the TKI analysis, there was a total of 53 deaths for 118 patients. Median OS was 55.7 months (95% CI: 41.1–97.6) with a median follow-up time for survivors of 41 months (range: 2–153). Median OS was 72.9 months (95% CI: 36.7–NE) in the deleterious DDR group versus 53.6 months (95% CI: 40.8–115.1) in the wild-type/VUS DDR group (log-rank p=0.903) (figure 2B). Survival estimates at 24 months were 73.9% (95% CI: 50.9%–87.3%) in the deleterious DDR group versus 81.3% (95% CI: 71.6%–88.0%) in the wild-type/VUS DDR group. In this analysis of patients uniformly treated in the first-line setting, Cox regression with adjustment for IMDC risk determined the HR for the presence of deleterious DDR to be 1.06 (95% CI: 0.49–2.29; p=0.88). In the I/O analysis, median PFS for 94 patients with serial radiographic assessments per RECIST V.1.1 was 5.3 months (95% CI: 4.0–8.1), with a total of 66 disease progression events. Median PFS was comparable for patients harboring deleterious DDR alterations and those whose tumors were DDR wild type/VUS (4.0 months; 95% CI: 2.7–NE; and 5.3 months; 95% CI: 4.1–9.8; respectively; log-rank p=0.930) (figure 3A). Similarly, no differences were seen in 85 patients with RECIST V.1.1 assessments on TKI therapy with median PFS across all patients being 10.9 months (95% CI: 8.7–13.8) and not significantly different for those in the deleterious DDR group (17.1 months; 95% CI: 8.1–28.1) versus the DDR wild-type/VUS group (9.6 months; 95% CI: 7.9–12.4; with log-rank p=0.329) (figure 3B). The total progression disease events in the TKI analysis were 70. Swimmers plots in online supplementary figures S1 and S2 visualize the time course of therapy for 19 and 24 patients in the deleterious DDR group in the I/O and TKI analyses, respectively.
Figure 3

Kaplan-Meier estimate of PFS according to DDR gene alterations (deleterious DDR vs wild type/VUS DDR) in (A) I/O-treated patients (log-rank p=0.930) and (B) VEGF-TKI-treated patients (log-rank p=0.329). DDR, DNA damage repair; I/O, immune-oncology; PFS, progression-free survival; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance.

Kaplan-Meier estimate of PFS according to DDR gene alterations (deleterious DDR vs wild type/VUS DDR) in (A) I/O-treated patients (log-rank p=0.930) and (B) VEGF-TKI-treated patients (log-rank p=0.329). DDR, DNA damage repair; I/O, immune-oncology; PFS, progression-free survival; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance. We further conducted a sensitivity OS analysis in patients who only underwent NGS in the primary tumor samples in both the I/O and the TKI analyses (64 and 75 patients, respectively); we observed a similar trend toward better OS in the I/O-treated patients and not in the TKI-treated patients (HR 0.42 (95% CI: 0.13–1.37); p=0.13 vs HR 0.94 (95% CI: 0.43–2.07); p=0.88); however, this was not statistically significant probably underpowered by the small number of patients in each analysis (online supplementary figure S3).

Radiographic responses in the I/O and TKI analyses

For 94 patients with RECIST V.1.1 evaluation in the I/O analysis, the ORR was 32%. There was no significant difference in ORR between the deleterious DDR group and wild-type/VUS DDR group (38% vs 31%; Fisher’s exact p=0.57) (online supplementary table S3). In the I/O analysis, four of the nine patients with germline DDR events (44%) achieved an objective response. For 85 patients with RECIST V.1.1 evaluation contributing to the TKI analysis, the best ORR was 46% with no significant difference observed between the deleterious DDR group versus wild-type/VUS DDR group (33% vs 46%; Fisher’s exact p=0.42) (online supplementary table S4). In the TKI analysis, three of the eight patients with germline DDR events (37%) achieved an objective response. Co-mutation plots in online supplementary figure S4A, B illustrate the distribution of the deleterious DDR gene alterations by the relevant genes and pathways with the radiographic responses for each patient in both the I/O and the TKI analyses. Waterfall plots in online supplementary figure S5A, B depict the maximal amounts of shrinkage in target lesions for patients highlighting DDR mutation status in the I/O and TKI analyses, respectively.

Discussion

Damage to human DNA occurs constantly as a result of exposure to a multitude of endogenous and exogenous influences. The DDR machinery reacts to such events through a number of well-orchestrated mechanisms that can regulate DNA replication and may lead to the repair or bypass of DNA damage as well as cell cycle arrest.8 22 These response pathways are regulated by several key DDR genes, functional loss of which can result in genomic instability and frequently contributes to neoplastic transformation. DDR status is understood to have implications on neoantigen load and hence has been explored as a potential predictor of clinical benefit to I/O agents. The activity of I/O in this setting was first highlighted in the pivotal phase II study of pembrolizumab,11 which was conducted primarily in colon cancer and demonstrated that patients with deficient mismatch repair (dMMR) tumors had higher response rates compared with MMR-proficient tumors (40% vs 0%). These findings were subsequently confirmed in a larger phase II study23 evaluating pembrolizumab solely in patients with dMMR tumors across 12 tumors types (none of which were RCC) with an ORR of 53%, including 21% complete responses. This discovery led to the Food and Drug Administration approval of pembrolizumab for the treatment of MSI-H/dMMR cancers, irrespective of primary tumor site.24 In a previously reported study of 60 patients with metastatic urothelial cancers enrolled in prospective trials who were treated with a variety of I/O-based regimens,12 the presence of deleterious DDR gene alterations across the same set of candidate genes tested here was associated with superior OS. Similarly, Wang et al25 recently demonstrated that the presence of concomitant mutations in HRR-MMR or HRR-BER pathways was associated with clinical benefit to I/O agents across several cancer types. In pan-cancer comparisons, a genotype suggestive of genomic instability is more common in RCC than other solid tumor malignancies,26 27 yet dedicated reports around DDR biology in this disease are limited. In the localized setting, data from The Cancer Genome Atlas (TCGA) effort have provided insights into genomics and transcriptomics of DNA maintenance in ccRCC.27 28 Here, alterations across 11 DDR genes were found in 25% of cases. In a subsequent report from the Kidney Renal Clear Cell Carcinoma (KIRC) TCGA dataset, transcriptomic signatures suggestive of HR deficiency were seen in the majority of cases.29 Our study extends the exploration of DDR genomics to the metastatic setting, analyzing a large retrospective cohort of systemically treated patients. To our knowledge, this is the first report to put such findings into context with different categories of systemic RCC therapy. In our cohort of >200 patients, we confirm that loss-of-function events in key DDR genes are common in the setting of advanced disease and report deleterious DDR gene alterations in 19% of patients, the majority deemed clonal per CCF estimates. Following prior reports in other malignancies, we were interested to explore the significance of DDR loss-of-function and therapeutic outcomes in RCC. We undertook separate analyses for I/O and VEGF-TKI agents. Importantly, this retrospective study did not allow for direct comparison between treatment groups, and we did not attempt to undertake such comparison. While there were no differences for PFS or ORR, longer median OS with I/O therapy was observed in patients whose tumors harbored deleterious DDR gene alterations versus those who were DDR WT/VUS (log-rank p=0.049). Landmark analysis with 24 months OS probability also favored DDR-altered cases. Significance of this OS association was lost in a multivariate Cox regression model correcting for IMDC risk category and exposure to prior lines of therapy (HR 0.41, 95% CI: 0.14–1.14; p=0.09), which may be due to interdependence or due to limitations in sample size. The provocative signal seen here for OS with a lack of concurrent association in ORR and PFS highlights the complexities of interpreting I/O benefit previously evident in other RCC datasets.6 30 Small sample sizes of the various subgroups did not allow for pathway or gene-specific exploration of an efficacy signal. We did not appreciate association between DDR status and median PFS, median OS, 24 months OS or ORR in patients treated with first-line TKI therapy (log-rank p=0.903). In 10 patients, deleterious DDR status was determined solely by the presence of germline DDR events, mostly involving CHEK2 and MUTYH. When looking at this small number of patients, no notable differences in treatment effect, including survival, were apparent between the somatic and germline variants. Our results add to the growing level of evidence supporting the notion that DDR status deserves further study in the context of treating metastatic ccRCC with I/O agents. For ccRCC, validation in larger, prospective cohorts is needed, ideally with dedicated attention to particular pathways and individual genes. Better understanding of these concepts may also allow for rational combination strategies pairing I/O and targeted agents. This includes Poly (ADP-ribose) polymerase (PARP) inhibitors for which synthetic lethality in a DDR-impaired state has been proposed in preclinical RCC models.31 Our study has several limitations. All patients in this retrospective cohort were treated at a single center, and as mentioned sample size limits our ability to correct for other factors and explores the significance of individual genes. A proportion of patients contributed to both TKI and I/O analyses, although it should be stressed that the purpose of our study was not to compare outcomes between different therapeutic approaches. The clinical setting was rather different, TKI therapy having been applied in the first line for all patients analyzed here while a significant proportion of I/O treatments was initiated after prior exposure to non-I/O therapies. Relevantly, no patients in this study entered either analysis on the basis of I/O plus TKI combination therapy. OS data seen in this cohort exceed historic controls for first-line TKI treatments.3 Such differences are partly attributable to the bias inherent to retrospective research but may also reflect what can be achieved in patients with early access to a contemporary standard and investigational agents at a center of expertise. Additionally, genomic characterization of DDR pathways and estimation of mutational load were limited to genes included in the MSK-IMPACT gene panel; this is a targeted NGS panel containing a limited number of genes (468 in the most recent version), which represents a fraction of the genome when compared with other extensive assays such as compared with whole exome sequencing.

Conclusions

Our findings add further evidence that DDR alterations are frequent loss-of-function events in metastatic ccRCC and support the notion that this category of genomic alterations deserves further study investigating their predictive value for I/O agents in this disease and others. This was an exploratory study to gain early insight into the significance of DDR gene function in metastatic RCC with respect to treatment with standard agents. With a retrospective design and limited sample size, it was not set up to establish an applicable biomarker for I/O therapy in RCC.
Table 3

Characteristics of 118 patients in the TKI analysis

All (n=118)Deleterious DDR (n=24)Wild type/VUS DDR (n=94)
Age at start of treatment (years), median (range)60 (34–86)63 (34–74)60 (37–86)
Gender (male)87 (74%)20 (83%)67 (71%)
Nephrectomy110 (93%)23 (96%)87 (92%)
IMDC risk score at starting VEGF-TKI therapy
 Favorable32 (29%)5 (25%)27 (30%)
 Intermediate63 (58%)11 (55%)52 (59
 Poor14 (13%)4 (20%)10 (11%)
VEGF-TKI agent
 Sunitinib73 (62%)12 (50%)61 (65%)
 Pazopanib42 (36%)11 (46%)31 (33%)
 Tivozanib1 (1%)01 (1%)
 Axitinib1 (1%)01 (1%)
 Sorafenib1 (1%)1 (4%)0
Line of TKI therapy
 First line118 (100%)24 (100%)94 (100%)

DDR, DNA damage repair; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor; VUS, variants of unknown significance.

  29 in total

Review 1.  The DNA damage response: ten years after.

Authors:  J Wade Harper; Stephen J Elledge
Journal:  Mol Cell       Date:  2007-12-14       Impact factor: 17.970

2.  Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial.

Authors:  Brian I Rini; Bernard Escudier; Piotr Tomczak; Andrey Kaprin; Cezary Szczylik; Thomas E Hutson; M Dror Michaelson; Vera A Gorbunova; Martin E Gore; Igor G Rusakov; Sylvie Negrier; Yen-Chuan Ou; Daniel Castellano; Ho Yeong Lim; Hirotsugu Uemura; Jamal Tarazi; David Cella; Connie Chen; Brad Rosbrook; Sinil Kim; Robert J Motzer
Journal:  Lancet       Date:  2011-11-04       Impact factor: 79.321

3.  Targeting DNA Damage Response Promotes Antitumor Immunity through STING-Mediated T-cell Activation in Small Cell Lung Cancer.

Authors:  Triparna Sen; B Leticia Rodriguez; Limo Chen; Carminia M Della Corte; Naoto Morikawa; Junya Fujimoto; Sandra Cristea; Thuyen Nguyen; Lixia Diao; Lerong Li; Youhong Fan; Yongbin Yang; Jing Wang; Bonnie S Glisson; Ignacio I Wistuba; Julien Sage; John V Heymach; Don L Gibbons; Lauren A Byers
Journal:  Cancer Discov       Date:  2019-02-18       Impact factor: 39.397

4.  Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma.

Authors:  Robert J Motzer; Nizar M Tannir; David F McDermott; Osvaldo Arén Frontera; Bohuslav Melichar; Toni K Choueiri; Elizabeth R Plimack; Philippe Barthélémy; Camillo Porta; Saby George; Thomas Powles; Frede Donskov; Victoria Neiman; Christian K Kollmannsberger; Pamela Salman; Howard Gurney; Robert Hawkins; Alain Ravaud; Marc-Oliver Grimm; Sergio Bracarda; Carlos H Barrios; Yoshihiko Tomita; Daniel Castellano; Brian I Rini; Allen C Chen; Sabeen Mekan; M Brent McHenry; Megan Wind-Rotolo; Justin Doan; Padmanee Sharma; Hans J Hammers; Bernard Escudier
Journal:  N Engl J Med       Date:  2018-03-21       Impact factor: 91.245

5.  Comutations in DNA Damage Response Pathways Serve as Potential Biomarkers for Immune Checkpoint Blockade.

Authors:  Zhijie Wang; Jing Zhao; Jie Wang; Guoqiang Wang; Fan Zhang; Zemin Zhang; Fan Zhang; Yuzi Zhang; Hua Dong; Xiaochen Zhao; Jianchun Duan; Hua Bai; Yanhua Tian; Rui Wan; Miao Han; Yan Cao; Lei Xiong; Li Liu; Shuhang Wang; Shangli Cai; Tony S K Mok
Journal:  Cancer Res       Date:  2018-08-31       Impact factor: 12.701

6.  Toil enables reproducible, open source, big biomedical data analyses.

Authors:  John Vivian; Arjun Arkal Rao; Frank Austin Nothaft; Christopher Ketchum; Joel Armstrong; Adam Novak; Jacob Pfeil; Jake Narkizian; Alden D Deran; Audrey Musselman-Brown; Hannes Schmidt; Peter Amstutz; Brian Craft; Mary Goldman; Kate Rosenbloom; Melissa Cline; Brian O'Connor; Megan Hanna; Chet Birger; W James Kent; David A Patterson; Anthony D Joseph; Jingchun Zhu; Sasha Zaranek; Gad Getz; David Haussler; Benedict Paten
Journal:  Nat Biotechnol       Date:  2017-04-11       Impact factor: 54.908

7.  An integrative approach to predicting the functional effects of non-coding and coding sequence variation.

Authors:  Hashem A Shihab; Mark F Rogers; Julian Gough; Matthew Mort; David N Cooper; Ian N M Day; Tom R Gaunt; Colin Campbell
Journal:  Bioinformatics       Date:  2015-01-11       Impact factor: 6.937

8.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

9.  Suppression of homology-dependent DNA double-strand break repair induces PARP inhibitor sensitivity in VHL-deficient human renal cell carcinoma.

Authors:  Susan E Scanlon; Denise C Hegan; Parker L Sulkowski; Peter M Glazer
Journal:  Oncotarget       Date:  2017-12-19

Review 10.  STING: infection, inflammation and cancer.

Authors:  Glen N Barber
Journal:  Nat Rev Immunol       Date:  2015-12       Impact factor: 53.106

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  17 in total

1.  Association of Pathogenic Variants in Hereditary Cancer Genes With Multiple Diseases.

Authors:  Chenjie Zeng; Lisa A Bastarache; Ran Tao; Eric Venner; Scott Hebbring; Justin D Andujar; Sarah T Bland; David R Crosslin; Siddharth Pratap; Ayorinde Cooley; Jennifer A Pacheco; Kurt D Christensen; Emma Perez; Carrie L Blout Zawatsky; Leora Witkowski; Hana Zouk; Chunhua Weng; Kathleen A Leppig; Patrick M A Sleiman; Hakon Hakonarson; Marc S Williams; Yuan Luo; Gail P Jarvik; Robert C Green; Wendy K Chung; Ali G Gharavi; Niall J Lennon; Heidi L Rehm; Richard A Gibbs; Josh F Peterson; Dan M Roden; Georgia L Wiesner; Joshua C Denny
Journal:  JAMA Oncol       Date:  2022-06-01       Impact factor: 33.006

2.  Multitumor Case Series of Germline BRCA1, BRCA2 and CHEK2-Mutated Patients Responding Favorably on Immune Checkpoint Inhibitors.

Authors:  Lisa Kinget; Oliver Bechter; Kevin Punie; Philip R Debruyne; Hilde Brems; Paul Clement; Eduard Roussel; Yannick Van Herck; Maarten Albersen; Marcella Baldewijns; Patrick Schöffski; Benoit Beuselinck
Journal:  Curr Oncol       Date:  2021-08-24       Impact factor: 3.677

3.  Efficacy and safety of tyrosine kinase inhibitors alone or in combination with radiation therapy for metastatic renal cell carcinoma: A protocol for evidence-based systematic review and Bayesian network meta-analysis.

Authors:  Shihua Wang; Weihua Jin; Changqing Jiang; Yiwen Zhang; Kaiwen Deng
Journal:  Medicine (Baltimore)       Date:  2021-08-20       Impact factor: 1.817

Review 4.  Immune checkpoint blockade in renal cell carcinoma.

Authors:  Phillip M Rappold; Andrew W Silagy; Ritesh R Kotecha; Ari A Hakimi
Journal:  J Surg Oncol       Date:  2021-03       Impact factor: 3.454

Review 5.  CHEK2 Germline Variants in Cancer Predisposition: Stalemate Rather than Checkmate.

Authors:  Lenka Stolarova; Petra Kleiblova; Marketa Janatova; Jana Soukupova; Petra Zemankova; Libor Macurek; Zdenek Kleibl
Journal:  Cells       Date:  2020-12-12       Impact factor: 6.600

6.  The Clinical Significance of DNA Damage Repair Signatures in Clear Cell Renal Cell Carcinoma.

Authors:  Ergang Guo; Cheng Wu; Jun Ming; Wei Zhang; Linli Zhang; Guoqing Hu
Journal:  Front Genet       Date:  2021-01-08       Impact factor: 4.599

7.  The Emerging Role of Poly (ADP-Ribose) Polymerase Inhibitors as Effective Therapeutic Agents in Renal Cell Carcinoma.

Authors:  Jerred P Pletcher; Sayani Bhattacharjee; Jonathan P Doan; Rebecca Wynn; Puneet Sindhwani; Nagalakshmi Nadiminty; Firas G Petros
Journal:  Front Oncol       Date:  2021-07-09       Impact factor: 6.244

8.  Good Tumor Response to Chemoradioimmunotherapy in dMMR/MSI-H Advanced Colorectal Cancer: A Case Series.

Authors:  Chengjing Zhou; Ting Jiang; Yajie Xiao; Qiaoxuan Wang; Zhifan Zeng; Peiqiang Cai; Yongtian Zhao; Zhikun Zhao; Dongfang Wu; Hanqing Lin; Chao Sun; Rong Zhang; Weiwei Xiao; Yuanhong Gao
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

9.  Prevalence and Landscape of Actionable Genomic Alterations in Renal Cell Carcinoma.

Authors:  Kyrollis Attalla; Renzo G DiNatale; Phillip M Rappold; Christopher J Fong; Francisco Sanchez-Vega; Andrew W Silagy; Stanley Weng; Jonathan Coleman; Chung-Han Lee; Maria I Carlo; Jeremy C Durack; Stephen B Solomon; Victor E Reuter; Paul Russo; Timothy A Chan; Robert J Motzer; Nikolaus D Schultz; Ed Reznik; Martin H Voss; A Ari Hakimi
Journal:  Clin Cancer Res       Date:  2021-07-14       Impact factor: 12.531

Review 10.  Biomarker Development for Metastatic Renal Cell Carcinoma: Omics, Antigens, T-cells, and Beyond.

Authors:  Benjamin Miron; David Xu; Matthew Zibelman
Journal:  J Pers Med       Date:  2020-11-13
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