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Immune checkpoint inhibitors (ICIs) have yielded remarkable responses but often lead to immune-related adverse events (irAEs). Although germline causes for irAEs have been hypothesized, no individual variant associated with developing irAEs has been identified. We carried out a genome-wide association study of 1,751 patients on ICIs across 12 cancer types. We investigated two irAE phenotypes: (1) high-grade (3–5) and (2) all-grade events. We identified 3 genome-wide significant associations ( P  < 5 × 10 −8 ) in the discovery cohort associated with all-grade irAEs: rs16906115 near IL7 (combined P  = 3.6 × 10 −11 ; hazard ratio (HR) = 2.1); rs75824728 near IL22RA1 (combined P  = 3.5 × 10 −8 ; HR = 1.8); and rs113861051 on 4p15 (combined P  = 1.2 × 10 −8 , HR = 2.0); rs16906115 was replicated in 3 independent studies. The association near IL7 colocalized with the gain of a new cryptic exon for IL7 , a critical regulator of lymphocyte homeostasis. Patients carrying the IL7 germline variant exhibited significantly increased lymphocyte stability after ICI initiation, which was itself predictive of downstream irAEs and improved survival. A genome-wide association study in large cohorts of patients with different types of cancer treated with immune checkpoint inhibitors identifies genetic variants associated with immune-related adverse events.

Incorporating immune checkpoint blockade into perioperative cancer therapy has improved clinical outcomes. However, the safety of immune checkpoint blockade needs better evaluation, given the chances of more prolonged disease-free survival. We aimed to assess how adding immune checkpoint blockade to perioperative therapy affects treatment-related adverse events. For this systematic review and meta-analysis, we searched PubMed/MEDLINE, Embase, Web of Science, and the Cochrane Library from database inception until Aug 8, 2023, for randomised controlled trials that assessed the addition of immune checkpoint blockade to neoadjuvant or adjuvant therapy for cancer, reported treatment-related deaths, and had a design in which the experimental group assessed immune checkpoint blockade in combination with the therapy used in the control group. Meta-analysis was done to pool odds ratios (ORs) of treatment-related deaths, any grade and grade 3–4 treatment-related adverse events, serious adverse events, and adverse events leading to treatment discontinuation. The protocol is registered with PROSPERO, CRD42022343741. 28 randomised controlled trials with 16 976 patients were included. The addition of immune checkpoint blockade was not significantly associated with increased treatment-related deaths (OR 1·76, 95% CI 0·95–3·25; p=0·073), consistent across immune checkpoint blockade subtype (I2=0%). 40 fatal toxicities were identified across 9864 patients treated with immune checkpoint blockade, with pneumonitis being the most common (six [15·0%]); 13 fatal toxicities occurred among 7112 patients who were not treated with immune checkpoint blockade. The addition of immune checkpoint blockade increased the incidence of grade 3–4 treatment-related adverse events (OR 2·73, 95% CI 1·98–3·76; p<0·0001), adverse events leading to treatment discontinuation (3·67, 2·45–5·51; p<0·0001), and treatment-related adverse events of any grade (2·60 [1·88–3·61], p<0·0001). The immune checkpoint blockade versus placebo design primarily used as adjuvant therapy was associated with increased incidence of treatment-related deaths (4·02, 1·04–15·63; p=0·044) and grade 3–4 adverse events (5·31, 3·08–9·15; p<0·0001), whereas the addition of immune checkpoint blockade in the neoadjuvant setting was not associated with increased incidence of treatment-related death (1·11, 95% CI 0·38–3·29; p=0·84) or grade 3–4 adverse events (1·17, 0·90–1·51; p=0·23). The addition of immune checkpoint blockade to perioperative therapy was associated with an increase in grade 3–4 treatment-related adverse events and adverse events leading to treatment discontinuation. These findings provide safety insights for further clinical trials assessing neoadjuvant or adjuvant immune checkpoint blockade therapy. Clinicians should closely monitor patients for treatment-related adverse events to prevent treatment discontinuations and morbidity from these therapies in earlier-stage settings. None.

Background In metastatic urothelial carcinoma (mUC), predictive biomarkers that correlate with response to immune checkpoint inhibitors (ICIs) are lacking. Here, we interrogated genomic and clinical features associated with response to ICIs in mUC. Methods Sixty two mUC patients treated with ICI who had targeted tumour sequencing were studied. We examined associations between candidate biomarkers and clinical benefit (CB, any objective reduction in tumour size) versus no clinical benefit (NCB, no change or objective increase in tumour size). Both univariable and multivariable analyses for associations were conducted. A comparator cohort of 39 mUC patients treated with taxanes was analysed by using the same methodology. Results Nine clinical and seven genomic factors correlated with clinical outcomes in univariable analysis in the ICI cohort. Among the 16 factors, neutrophil-to-lymphocyte ratio (NLR) ≥5 (OR = 0.12, 95% CI, 0.01–1.15), visceral metastasis (OR = 0.05, 95% CI, 0.01–0.43) and single-nucleotide variant (SNV) count < 10 (OR = 0.04, 95% CI, 0.006–0.27) were identified as independent predictors of NCB to ICI in multivariable analysis (c-statistic = 0.90). None of the 16 variables were associated with clinical benefit in the taxane cohort. Conclusions This three-factor model includes genomic (SNV count >9) and clinical (NLR <5, lack of visceral metastasis) variables predictive for benefit to ICI but not taxane therapy for mUC. External validation of these hypothesis-generating results is warranted to enable use in routine clinical care.

A survey of more than 32,000 cancers in the GENIE registry detected differences in the distribution of KRAS G12C mutations in various cancer types and in men and women of different racial groups. With the emerging availability of agents capable of targeting particular mutant alleles (e.g., sotorasib), tumor mutation analysis is increasing in importance for choosing the right treatment.

Background Genomic alterations in 8 genes are now the targets of FDA-approved therapeutics in non-small cell lung cancer (NSCLC), but their distribution according to genetic ancestry, sex, histology, and smoking is not well established. Methods Using multi-institutional genetic testing data from GENIE, we characterize the distribution of targetable genomic alterations in 8 genes among 8675 patients with NSCLC (discovery cohort: DFCI, N = 3115; validation cohort: Duke, Memorial Sloan Kettering Cancer Center, Vanderbilt, N = 5560). For the discovery cohort, we impute genetic ancestry from tumor-only sequencing and identify differences in the frequency of targetable alterations across ancestral groups, smoking pack-years, and histologic subtypes. Results We identified variation in the prevalence of KRAS G12C , sensitizing EGFR mutations, MET alterations, ALK , and ROS1 fusions according to the number of smoking pack-years. A novel method for computing continental (African, Asian, European) and Ashkenazi Jewish ancestries from panel sequencing enables quantitative analysis of the correlation between ancestry and mutation rates. This analysis identifies a correlation between Asian ancestry and EGFR mutations and an anti-correlation between Asian ancestry and KRAS G12C mutation. It uncovers 2.7-fold enrichment for MET exon 14 skipping mutations and amplifications in patients of Ashkenazi Jewish ancestry. Among never/light smokers, targetable alterations in LUAD are significantly enriched in those with Asian (80%) versus African (49%) and European (55%) ancestry. Finally, we show that 5% of patients with squamous cell carcinoma (LUSC) and 17% of patients with large cell carcinoma (LCLC) harbor targetable alterations. Conclusions Among patients with NSCLC, there was significant variability in the prevalence of targetable genomic alterations according to genetic ancestry, histology, and smoking. Patients with LUSC and LCLC have 5% rates of targetable alterations supporting consideration for sequencing in those subtypes.

While the mutational and transcriptional landscapes of renal cell carcinoma (RCC) are well-known, the epigenome is poorly understood. We characterize the epigenome of clear cell (ccRCC), papillary (pRCC), and chromophobe RCC (chRCC) by using ChIP-seq, ATAC-Seq, RNA-seq, and SNP arrays. We integrate 153 individual data sets from 42 patients and nominate 50 histology-specific master transcription factors (MTF) to define RCC histologic subtypes, including EPAS1 and ETS-1 in ccRCC, HNF1B in pRCC, and FOXI1 in chRCC. We confirm histology-specific MTFs via immunohistochemistry including a ccRCC-specific TF, BHLHE41. FOXI1 overexpression with knock-down of EPAS1 in the 786-O ccRCC cell line induces transcriptional upregulation of chRCC-specific genes, TFCP2L1 , ATP6V0D2 , KIT , and INSRR , implicating FOXI1 as a MTF for chRCC. Integrating RCC GWAS risk SNPs with H3K27ac ChIP-seq and ATAC-seq data reveals that risk-variants are significantly enriched in allelically-imbalanced peaks. This epigenomic atlas in primary human samples provides a resource for future investigation. The epigenomic landscape of renal cell carcinoma (RCC) remains to be explored. Here, integrative epigenomic analysis of primary human RCC samples and RCC GWAS risk SNPs identifies transcription-factor specific subtypes and enrichment of risk variants in allelically-imbalanced peaks.

Tuberous sclerosis complex (TSC) is an autosomal dominant tumor suppressor syndrome, characterized by tumor development in multiple organs, including renal angiomyolipoma. Biallelic loss of TSC1 or TSC2 is a known genetic driver of angiomyolipoma development, however, whether an altered transcriptional repertoire contributes to TSC-associated tumorigenesis is unknown. RNA-seq analyses showed that MITF A isoform ( MITF-A ) was consistently highly expressed in angiomyolipoma, immunohistochemistry showed microphthalmia-associated transcription factor nuclear localization, and Chromatin immuno-Precipitation Sequencing analysis showed that the MITF-A transcriptional start site was highly enriched with H3K27ac marks. Using the angiomyolipoma cell line 621-101, MITF knockout ( MITF.KO ) and MITF-A overexpressing ( MITF.OE ) cell lines were generated. MITF.KO cells showed markedly reduced growth and invasion in vitro, and were unable to form xenografted tumors. In contrast, MITF.OE cells grew faster in vitro and as xenografted tumors compared to control cells. RNA-Seq analysis showed that both ID2 and Cysteine-rich angiogenic inducer 61 ( CYR61 ) expression levels were increased in the MITF.OE cells and reduced in the MITF.KO cells, and luciferase assays showed this was due to transcriptional effects. Importantly, CYR61 overexpression rescued MITF.KO cell growth in vitro and tumor growth in vivo. These findings suggest that MITF-A is a transcriptional oncogenic driver of angiomyolipoma tumor development, acting through regulation of CYR61 .

BackgroundImmune checkpoint inhibitors (ICI) induce a range of immune-related adverse events (irAEs) with various degrees of severity. While clinical experience with ICI retreatment following clinically significant irAEs is growing, the safety and efficacy are not yet well characterized.MethodsThis multicenter retrospective study identified patients with metastatic renal cell carcinoma treated with ICI who had >1 week therapy interruption for irAEs. Patients were classified into retreatment and discontinuation cohorts based on whether or not they resumed an ICI. Toxicity and clinical outcomes were assessed descriptively.ResultsOf 499 patients treated with ICIs, 80 developed irAEs warranting treatment interruption; 36 (45%) of whom were restarted on an ICI and 44 (55%) who permanently discontinued. Median time to initial irAE was similar between the retreatment and discontinuation cohorts (2.8 vs 2.7 months, p=0.59). The type and grade of irAEs were balanced across the cohorts; however, fewer retreatment patients required corticosteroids (55.6% vs 84.1%, p=0.007) and hospitalizations (33.3% vs 65.9%, p=0.007) for irAE management compared with discontinuation patients. Median treatment holiday before reinitiation was 0.9 months (0.2–31.6). After retreatment, 50% (n=18/36) experienced subsequent irAEs (12 new, 6 recurrent) with 7 (19%) grade 3 events and 13 drug interruptions. Median time to irAE recurrence after retreatment was 2.8 months (range: 0.3–13.8). Retreatment resulted in 6 (23.1%) additional responses in 26 patients whose disease had not previously responded. From first ICI initiation, median time to next therapy was 14.2 months (95% CI 8.2 to 18.9) and 9.0 months (5.3 to 25.8), and 2-year overall survival was 76% (95%CI 55% to 88%) and 66% (48% to 79%) in the retreatment and discontinuation groups, respectively.ConclusionsDespite a considerable rate of irAE recurrence with retreatment after a prior clinically significant irAE, most irAEs were low grade and controllable. Prospective studies are warranted to confirm that retreatment enhances survival outcomes that justify the safety risks.

Small-cell lung cancer (SCLC) has traditionally been considered a recalcitrant cancer with a dismal prognosis, with only modest advances in therapeutic strategies over the past several decades. Comprehensive genomic assessments of SCLC have revealed that most of these tumours harbour deletions of the tumour-suppressor genes TP53 and RB1 but, in contrast to non-small-cell lung cancer, have failed to identify targetable alterations. The expression status of four transcription factors with key roles in SCLC pathogenesis defines distinct molecular subtypes of the disease, potentially enabling specific therapeutic approaches. Overexpression and amplification of MYC paralogues also affect the biology and therapeutic vulnerabilities of SCLC. Several other attractive targets have emerged in the past few years, including inhibitors of DNA-damage-response pathways, epigenetic modifiers, antibody–drug conjugates and chimeric antigen receptor T cells. However, the rapid development of therapeutic resistance and lack of biomarkers for effective selection of patients with SCLC are ongoing challenges. Emerging single-cell RNA sequencing data are providing insights into the plasticity and intratumoural and intertumoural heterogeneity of SCLC that might be associated with therapeutic resistance. In this Review, we provide a comprehensive overview of the latest advances in genomic and transcriptomic characterization of SCLC with a particular focus on opportunities for translation into new therapeutic approaches to improve patient outcomes.Traditionally, patients with small-cell lung cancer (SCLC), a malignancy with a dismal prognosis, have had limited treatment options. Over the past few years, advances in the molecular characterization of SCLC have revealed novel therapeutic targets. The authors of this Review summarize these findings and discuss emerging opportunities and challenges for their translation into new treatment approaches.

The genome of a cell is continuously battered by a plethora of exogenous and endogenous processes that can lead to damaged DNA. Repair mechanisms correct this damage most of the time, but failure to do so leaves mutations. Mutations do not occur in random manner, but rather typically follow a more or less specific pattern due to known or imputed mutational processes. Mutational signature analysis is the process by which the predominant mutational process can be inferred for a cancer and can be used in several contexts to study both the genesis of cancer and its response to therapy. Recent pan-cancer genomic efforts such as “The Cancer Genome Atlas” have identified numerous mutational signatures that can be categorized into single base substitutions, doublet base substitutions, or small insertions/deletions. Understanding these mutational signatures as they occur in non-small lung cancer could improve efforts at prevention, predict treatment response to personalized treatments, and guide the development of therapies targeting tumor evolution. For non-small cell lung cancer, several mutational signatures have been identified that correlate with exposures such as tobacco smoking and radon and can also reflect endogenous processes such as aging, APOBEC activity, and loss of mismatch repair. Herein, we provide an overview of the current knowledge of mutational signatures in non-small lung cancer. This article provides an overview of the current knowledge of mutational signatures in non-small lung cancer.