scholarly journals Pan-cancer analysis of SETD2 mutation and its association with the efficacy of immunotherapy

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mingdong Lu ◽  
Bin Zhao ◽  
Mengshan Liu ◽  
Le Wu ◽  
Yingying Li ◽  
...  
Keyword(s):  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Critical Role ◽  
The Cancer Genome Atlas ◽  
Genomic Integrity ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Cancer Genome Atlas ◽  
Pan Cancer ◽  
Genome Atlas

AbstractHistone methyltransferase SETD2 plays a critical role in maintaining genomic integrity and stability. Here, we investigated the characteristics of SETD2 somatic mutation in the cancer genome atlas pan-cancer cohort. Our data revealed that, compared with SETD2 nonmutant patients, SETD2 mutant patients had higher tumor mutation burden and microsatellite instability. In addition, the transcriptions of most genes related to immune activities were upregulated in patients with SETD2 mutant tumors. Further examination of cancer patients treated with immune checkpoint inhibitors suggested SETD2 mutation was associated with favorable clinical outcomes. These results have implication for the personalization of cancer immunotherapy.

Comprehensive assessment of PD-L1 and PD-L2 dysregulation in gastrointestinal cancers

Epigenomics ◽  
2020 ◽  
Author(s):  
Qijie Zhao ◽  
Jinan Guo ◽  
Yueshui Zhao ◽  
Jing Shen ◽  
Parham Jabbarzadeh Kaboli ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Signaling Pathways ◽  
Underlying Mechanism ◽  
Comprehensive Analysis ◽  
The Cancer Genome Atlas ◽  
Gastrointestinal Cancers ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Background: PD-L1 and PD-L2 are ligands of PD-1. Their overexpression has been reported in different cancers. However, the underlying mechanism of PD-L1 and PD-L2 dysregulation and their related signaling pathways are still unclear in gastrointestinal cancers. Materials & methods: The expression of PD-L1 and PD-L2 were studied in The Cancer Genome Atlas and Genotype-Tissue Expression databases. The gene and protein alteration of PD-L1 and PD-L2 were analyzed in cBioportal. The direct transcription factor regulating PD-L1/ PD-L2 was determined with ChIP-seq data. The association of PD-L1/PD-L2 expression with clinicopathological parameters, survival, immune infiltration and tumor mutation burden were investigated with data from The Cancer Genome Atlas. Potential targets and pathways of PD-L1 and PD-L2 were determined by protein enrichment, WebGestalt and gene ontology. Results: Comprehensive analysis revealed that PD-L1 and PD-L2 were significantly upregulated in most types of gastrointestinal cancers and their expressions were positively correlated. SP1 was a key transcription factor regulating the expression of PD-L1. Conclusion: Higher PD-L1 or PD-L2 expression was significantly associated with poor overall survival, higher tumor mutation burden and more immune and stromal cell populations. Finally, HIF-1, ERBB and mTOR signaling pathways were most significantly affected by PD-L1 and PD-L2 dysregulation. Altogether, this study provided comprehensive analysis of the dysregulation of PD-L1 and PD-L2, its underlying mechanism and downstream pathways, which add to the knowledge of manipulating PD-L1/PD-L2 for cancer immunotherapy.

scholarly journals Comparison of commonly used solid tumor targeted gene sequencing panels for estimating tumor mutation burden shows analytical and prognostic concordance within the cancer genome atlas cohort

2020 ◽  
Vol 8 (1) ◽  
pp. e000613
Author(s):  
Nicholas Bevins ◽  
Shulei Sun ◽  
Zied Gaieb ◽  
John A Thorson ◽  
Sarah S Murray
Keyword(s):  
Solid Tumor ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Tumor Mutation Burden ◽  
Whole Exome ◽  
Mutation Burden ◽  
Cancer Genome Atlas ◽  
Gene Panels ◽  
The Impact ◽  
Genome Atlas

BackgroundTumor mutation burden (TMB) is a biomarker frequently reported by clinical laboratories, which is derived by quantifying of the number of single nucleotide or indel variants (mutations) identified by next-generation sequencing of tumors. TMB values can inform prognosis or predict the response of a patient’s tumor to immune checkpoint inhibitor therapy. Methods for the calculation of TMB are not standardized between laboratories, with significant variables being the gene content of the panels sequenced and the inclusion or exclusion of synonymous variants in the calculations. The impact of these methodological differences has not been investigated and the concordance of reported TMB values between laboratories is unknown.MethodsSequence variant lists from more than 9000 tumors of various types were downloaded from The Cancer Genome Atlas. Variant lists were filtered to include only appropriate variant types (ie, non-synonymous only or synonymous and non-synonymous variants) within the genes found in five commonly used targeted solid tumor gene panels as well as an in-house gene panel. Calculated TMB was paired with corresponding overall survival (OS) data of each patient.ResultsRegression analysis indicates high concordance of TMB as derived from the examined panels. TMB derived from panels was consistently and significantly lower than that derived from a whole exome. TMB, as derived from whole exome or the examined panels, showed a significant correlation with OS in the examined data.ConclusionsTMB derived from the examined gene panels was analytically equivalent between panels, but not between panels and whole-exome sequencing. Correlation between TMB and OS is significant if TMB method-specific cut-offs are used. These results suggest that TMB values, as derived from the gene panels examined, are analytically and prognostically equivalent.

RNF43 mutations to predict survival from treatment with immune checkpoint inhibitors and are associated with a high tumor mutation burden in bladder cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16528-e16528
Author(s):  
Liping Li ◽  
Mengmei Yang ◽  
Mengli Huang
Keyword(s):  
Bladder Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Negative Regulator ◽  
Wilcoxon Test ◽  
Wild Type ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
The Impact

e16528 Background: Immune checkpoint inhibitors (ICIs) targeting PD-1/L1 have been approved as first-line treatment for cisplatin-ineligible patients and as second-line therapy for patients with metastatic urothelial carcinoma of the bladder. Biomarkers can help select patients who are more likely to response to ICIs. RNF43 is an E3 ubiquitin ligase that acts as a negative regulator of Wnt/β-catenin signaling pathway. In colorectal cancer (CRC) patients treated with immune checkpoint inhibitors (ICIs), RNF43 mutations predicted longer overall survival (OS). The impact of RNF43 mutations on the efficiency of ICIs in bladder cancer(BLC) remains to be explored. Methods: We downloaded the mutation and clinical data of 211 BLC patients treated with ICIs from the immunotherapeutic cohort published by Samstein et al. (2019). OS analyses were conducted using Kaplan-Meier curves and log-rank tests. Wilcoxon test was used for the comparison of TMB. We also downloaded a TCGA cohort for prognostic analysis. The correlations between RNF43 and immune infiltrates were analyzed in the TIMER2.0 database. Statistical significance was set at p = 0.05. Results: RNF43 mutations were identified in 4.3%(9/211) and 3%(13/438) BLC patients in the immunotherapeutic and TCGA cohort, respectively. In the immunotherapeutic cohort, patients with RNF43 mutations had significantly longer OS (25 months vs 8 months; p = 0.015) and higher tumor mutation burden(TMB, 42.3 vs 7.9; p = 3.15E-06) than RNF43-wild-type patients. Different from this, no significant difference was found in OS between RNF43-mutant and RNF43-wild-type BLC patients with standard treatment in the TCGA cohort (p = 0.696). These results indicated that RNF43 was not a prognostic factor but a predictive biomarker of survival in BLC treated with ICIs. No difference was observed in subsets of immune cells between RNF43-mutant and the RNF43-wide-type BLC patients, including neutrophils, macrophages, CD8+ T cells, Tregs, B cells and NK cells. Conclusions: RNF43 mutations may be a predictor of survival benefit from ICIs in bladder cancer and correlated with higher TMB. Further studies in other ICI-treated cohorts are needed to confirm these results.

scholarly journals Molecular Correlates of Metastasis by Systematic Pan-Cancer Analysis Across The Cancer Genome Atlas

2018 ◽  
Vol 17 (2) ◽  
pp. 476-487 ◽  
Author(s):  
Fengju Chen ◽  
Yiqun Zhang ◽  
Sooryanarayana Varambally ◽  
Chad J. Creighton
Keyword(s):  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Pan Cancer ◽  
Genome Atlas

scholarly journals PR/SET Domain Family and Cancer: Novel Insights from the Cancer Genome Atlas

2018 ◽  
Vol 19 (10) ◽  
pp. 3250 ◽  
Author(s):  
Anna Sorrentino ◽  
Antonio Federico ◽  
Monica Rienzo ◽  
Patrizia Gazzerro ◽  
Maurizio Bifulco ◽  
...  
Keyword(s):  
Family Members ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Driver Gene ◽  
Rna Seq ◽  
Set Domain ◽  
Primary Tumors ◽  
Cancer Genome Atlas ◽  
Pan Cancer ◽  
Genome Atlas

The PR/SET domain gene family (PRDM) encodes 19 different transcription factors that share a subtype of the SET domain [Su(var)3-9, enhancer-of-zeste and trithorax] known as the PRDF1-RIZ (PR) homology domain. This domain, with its potential methyltransferase activity, is followed by a variable number of zinc-finger motifs, which likely mediate protein–protein, protein–RNA, or protein–DNA interactions. Intriguingly, almost all PRDM family members express different isoforms, which likely play opposite roles in oncogenesis. Remarkably, several studies have described alterations in most of the family members in malignancies. Here, to obtain a pan-cancer overview of the genomic and transcriptomic alterations of PRDM genes, we reanalyzed the Exome- and RNA-Seq public datasets available at The Cancer Genome Atlas portal. Overall, PRDM2, PRDM3/MECOM, PRDM9, PRDM16 and ZFPM2/FOG2 were the most mutated genes with pan-cancer frequencies of protein-affecting mutations higher than 1%. Moreover, we observed heterogeneity in the mutation frequencies of these genes across tumors, with cancer types also reaching a value of about 20% of mutated samples for a specific PRDM gene. Of note, ZFPM1/FOG1 mutations occurred in 50% of adrenocortical carcinoma patients and were localized in a hotspot region. These findings, together with OncodriveCLUST results, suggest it could be putatively considered a cancer driver gene in this malignancy. Finally, transcriptome analysis from RNA-Seq data of paired samples revealed that transcription of PRDMs was significantly altered in several tumors. Specifically, PRDM12 and PRDM13 were largely overexpressed in many cancers whereas PRDM16 and ZFPM2/FOG2 were often downregulated. Some of these findings were also confirmed by real-time-PCR on primary tumors.

scholarly journals The Predictive Efficacy of Tumor Mutation Burden (TMB) on Nonsmall Cell Lung Cancer Treated by Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhang Nan ◽  
Wang Guoqing ◽  
Yu Xiaoxu ◽  
Mi Yin ◽  
He Xin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Systematic Review ◽  
Cell Lung Cancer ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Nonsmall Cell Lung Cancer ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Nsclc Patients

Background. Nonsmall cell lung cancer (NSCLC) is the most common type of lung cancer, and the majority of NSCLC patients are diagnosed at the advanced stage. Chemotherapy is still the main treatment at present, and the overall prognosis is poor. In recent years, immunotherapy has developed rapidly. Immune checkpoint inhibitors (ICIs) as the representative have been extensively applied for treating various types of cancers. Tumor mutation burden (TMB) as a potential biomarker is used to screen appropriate patients for treatment of ICIs. To verify the predictive efficacy of TMB, a systematic review and meta-analysis were conducted to explore the association between TMB and ICIs. Method. PubMed, EMBASE, Cochrane Library, and son on were systematically searched from inception to April 2020. Objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were estimated. Results. A total of 11 studies consisting of 1525 nonsmall cell lung cancer (NSCLC) patients were included. Comparison of high and low TMB: pooled HRs for OS, 0.57 (95% CI 0.32 to 0.99; P = 0.046 ); PFS, 0.48 (95% CI 0.33 to 0.69; P < 0.001 ); ORR, 3.15 (95% CI 2.29 to 4.33; P < 0.001 ). Subgroup analysis values: pooled HRs for OS, 0.75 (95% CI 0.29 to 1.92, P = 0.548 ) for blood TMB (bTMB), 0.44 (95% CI 0.26 to 0.75, P = 0.003 ) for tissue TMB (tTMB); for PFS, 0.54 (95% CI 0.29 to 0.98, P = 0.044 ) and 0.43 (95% CI 0.26 to 0.71, P = 0.001 ), respectively. Conclusions. These findings imply that NSCLC patients with high TMB possess significant clinical benefits from ICIs compared to those with low TMB. As opposed to bTMB, tTMB was thought more appropriate for stratifying NSCLC patients for ICI treatment.

Sign in / Sign up

Export Citation Format

Share Document