Genomic aberration of chromatin regulatory BAF complex as predictive biomarker for immunotherapy in gastrointestinal adenocarcinoma.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 4035-4035
Author(s):  
Changsong QI ◽  
Sai Ge ◽  
Zhi Peng ◽  
Xiaotian Zhang ◽  
Yu Xu ◽  
...  
Keyword(s):  
Transcriptional Activation ◽  
Cancer Cell Line ◽  
Predictive Biomarker ◽  
The Cancer Genome Atlas ◽  
Genomic Aberration ◽  
Baf Complex ◽  
Mutational Burden ◽  
Positive Rate ◽  
Cancer Genome Atlas ◽  
Immune Related Genes

4035 Background: SNF/SWI, a large ATP-dependent chromatin remodeling complex, is required for transcriptional activation of genes normally repressed by chromatin, and critical to tumor initiation and progression. Here, we analyzed the predictive utility of the mutations of the SNF/SWI members involved in BAF and PBAF complexes, and sought to explore the potential mechanisms. Methods: Clinical, genomic, transcriptional, and immunohistochemical data from immunotherapeutic cohort (MSKCC, n=185), Cancer Cell Line Encyclopedia (CCLE, n=92), The Cancer Genome Atlas (TCGA, n=925), and 3D Medicines database (3DMed, n=1812) were analyzed to explore the predictive effect of genomic aberration of BAF complex on the benefit from immunotherapy in patients with gastrointestinal adenocarcinoma. Results: In the MSKCC cohort involving 185 patients with gastrointestinal adenocarcinoma, the mutation of any member involved in BAF complex ( ARID1A, ARID1B, SMARCA4, SMARCB1, and SMARCD1) was significantly associated with prolonged OS of ICI treatment (HR 0.53, 95%CI 0.31-0.90, P=0.019), instead of the mutations of PBAF members including PBRM1 and ARID2. In addition, BAF mutation was not linked with better prognosis in TCGA database, indicating its predictive, not prognostic efficacy of immunotherapy. BAF-mutated samples exhibited higher tumour mutational burden (TMB, P<0.05, Table), and increased mRNA expression of immune-related genes including chemokines and granzyme A. In the 3DMed cohort where tumour samples received both genomic sequencing and PD-L1 immunohistochemical staining, BAF mutation was associated with higher PD-L1 positive rate in tumour cells (P<0.05, Table). Conclusions: Genomic aberration of members in chromatin regulatory BAF complex may serve as a predictive, not prognostic biomarker of ICI benefit in patients with gastrointestinal adenocarcinoma, partially underlying the mechanisms including higher mutational burden, transcription of immune-related genes, and protein-level PD-L1 expression. [Table: see text]

Association between PD-L1 variants and PD-L1 expression: A pan-cancer analysis.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13661-e13661
Author(s):  
Xiang Wang ◽  
Ding Zhang ◽  
Guoqiang Wang ◽  
Anqi Duan ◽  
Xiang Ruan ◽  
...  
Keyword(s):  
Copy Number ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarker ◽  
Copy Number Gain ◽  
The Cancer Genome Atlas ◽  
Missense Mutations ◽  
Nonsense Mutations ◽  
Positive Rate ◽  
Cancer Genome Atlas ◽  
Copy Number Amplification

e13661 Background: Programmed cell death-1 (PD-L1) expression has become a predictive biomarker of response to immune checkpoint inhibitors (ICIs) in several types of solid tumors. Patients with high expression of PD-L1 can benefit more from immunotherapy. However, whether PD-L1 variants would influence the PD-L1 expression has not been fully studied. Methods: Patients with both mutation and immunohistochemistry results for PD-L1 expression from our dataset was analyzed. Patients with both mutation and RNA expression data were obtained from The Cancer Genome Atlas (TCGA) and also analyzed. Results: In our dataset, 10002 patients were included in the analysis. 101 (1%) patients harbored PD-L1 variants, including 24 with single nucleotide variant (SNV), 1 with fusion, 3 with copy-number reduction, 59 with copy-number gain, and 16 germline SNV. The PD-L1 positive rate was 42% in patients with SNV, 100% in fusion, 0% in copy-number reduction, 78% in copy-number gain, 19% in germline SNV and 39% in patients without PD-L1 variants. 32 studies of 10071 patients from TCGA were included for analysis. 244 (2.22%) patients harboring PD-L1 variants, including 2 with frame shift mutations, 3 with nonsense mutations, 38 with missense mutations, 2 with splices, 3 with fusions, 83 with copy-number reduction and 118 with copy-number amplification. The PD-L1 expression in patients with PD-L1 variants was significantly higher than patients without PD-L1 variants (P < 0.001). Further analysis among PD-L1 variants groups showed that PD-L1 fusion and amplification were associated with higher PD-L1 expression. Conclusions: Our results suggested that the PD-L1 expression was associated with PD-L1 variants. Patients with PD-L1 fusion and copy-number amplification was associated with higher PD-L1 expression, while PD-L1 germline SNV and copy-number deletion was associated with lower PD-L1 expression.Our results suggested that the PD-L1 expression was associated with PD-L1 variants. Patients with PD-L1 fusion and copy-number amplification was associated with higher PD-L1 expression, while PD-L1 germline SNV and copy-number deletion was associated with lower PD-L1 expression.

scholarly journals Effect of Different Expression of Immune-Related lncRNA on Colon Adenocarcinoma and Its Relation to Prognosis

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Meiwei Mu ◽  
Yi Tang ◽  
Zheng Yang ◽  
Yuling Qiu ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Cox Regression ◽  
Colon Adenocarcinoma ◽  
The Cancer Genome Atlas ◽  
Risk Scores ◽  
Future Research ◽  
Sequencing Data ◽  
Tissue Samples ◽  
Gene Sets ◽  
Cancer Genome Atlas ◽  
Immune Related Genes

Objective. To explore the expression of immune-related lncRNAs in colon adenocarcinoma and find out the effect on how these lncRNAs influence the development and prognosis of colon adenocarcinoma. Method. Transcriptome data of colon adenocarcinoma from The Cancer Genome Atlas (TCGA) were downloaded, and gene sets “IMMUNE RESPONSE” and “IMMUNE SYSTEM PROCESS” were sought from the Molecular Signatures Database (MSigDB). The expression of immune-related genes was extracted that were immune-related mRNAs. Then, the immune-related lncRNAs were sought out by utilizing of the above data. Clinical traits were combined with immune-related lncRNAs, so that prognostic-related lncRNAs were identified by Cox regression. Multivariate Cox regression was built to calculate risk scores. Relationships between clinical traits and immune-related lncRNAs were also calculated. Result. A total of 480 colorectal adenocarcinoma patients and 41 normal control patients’ transcriptome sequencing data of tissue samples were obtained from TCGA database. 918 immune-related lncRNAs were screened. Cox regression showed that 34 immune-related lncRNAs were associated with colon adenocarcinoma prognosis. Seven lncRNAs were independent risk factors. Conclusion. This study revealed that some lncRNAs can affect the development and prognosis of colon adenocarcinoma. It may provide new theory evidence of molecular mechanism for the future research and molecular targeted therapy of colon adenocarcinoma.

scholarly journals Data mining of immune-related prognostic genes in metastatic melanoma microenvironment

2020 ◽  
Vol 40 (11) ◽  
Author(s):  
Wei Han ◽  
Biao Huang ◽  
Xiao-Yu Zhao ◽  
Guo-Liang Shen
Keyword(s):  
Gene Expression ◽  
Tumor Microenvironment ◽  
Metastatic Melanoma ◽  
Interaction Network ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Protein Protein Interaction ◽  
Subtype Identification ◽  
Cancer Genome Atlas ◽  
Immune Related Genes

Abstract Skin cutaneous melanoma (SKCM) is one of the most deadly malignancies. Although immunotherapies showed the potential to improve the prognosis for metastatic melanoma patients, only a small group of patients can benefit from it. Therefore, it is urgent to investigate the tumor microenvironment in melanoma as well as to identify efficient biomarkers in the diagnosis and treatments of SKCM patients. A comprehensive analysis was performed based on metastatic melanoma samples from the Cancer Genome Atlas (TCGA) database and ESTIMATE algorithm, including gene expression, immune and stromal scores, prognostic immune-related genes, infiltrating immune cells analysis and immune subtype identification. Then, the differentially expressed genes (DEGs) were obtained based on the immune and stromal scores, and a list of prognostic immune-related genes was identified. Functional analysis and the protein–protein interaction network revealed that these genes enriched in multiple immune-related biological processes. Furthermore, prognostic genes were verified in the Gene Expression Omnibus (GEO) databases and used to predict immune infiltrating cells component. Our study revealed seven immune subtypes with different risk values and identified T cells as the most abundant cells in the immune microenvironment and closely associated with prognostic outcomes. In conclusion, the present study thoroughly analyzed the tumor microenvironment and identified prognostic immune-related biomarkers for metastatic melanoma.

scholarly journals Molecular basis of distinct oestrogen responses in endometrial and breast cancer

2019 ◽  
Vol 26 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Eva Baxter ◽  
Karolina Windloch ◽  
Greg Kelly ◽  
Jason S Lee ◽  
Frank Gannon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Transcriptional Activation ◽  
The Cancer Genome Atlas ◽  
Breast Cancers ◽  
Oestrogen Receptor Alpha ◽  
Limited Success ◽  
Cancer Genome Atlas ◽  
Using Data ◽  
Oestrogen Signalling

Up to 80% of endometrial and breast cancers express oestrogen receptor alpha (ERα). Unlike breast cancer, anti-oestrogen therapy has had limited success in endometrial cancer, raising the possibility that oestrogen has different effects in both cancers. We investigated the role of oestrogen in endometrial and breast cancers using data from The Cancer Genome Atlas (TCGA) in conjunction with cell line studies. Using phosphorylation of ERα (ERα-pSer118) as a marker of transcriptional activation of ERα in TCGA datasets, we found that genes associated with ERα-pSer118 were predominantly unique between tumour types and have distinct regulators. We present data on the alternative and novel roles played by SMAD3, CREB-pSer133 and particularly XBP1 in oestrogen signalling in endometrial and breast cancer.

Identification of predictive biomarker for immunotherapy by associating with CD8+T cell Infiltration in lung adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21177-e21177
Author(s):  
Puyuan Xing ◽  
Teng Li ◽  
Han Wang ◽  
Lin Yang ◽  
Guoqiang Wang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Predictive Biomarkers ◽  
Tumor Infiltrating Lymphocytes ◽  
Predictive Performance ◽  
Predictive Biomarker ◽  
Pooled Analysis ◽  
The Cancer Genome Atlas ◽  
T Cell Infiltration ◽  
Or Groups ◽  
Cancer Genome Atlas

e21177 Background: Tumor immune microenvironment (TIME) has been proved associated with response to immunotherapy(I/O). We hypothesized that screening potential mutation pattern which could significantly impact the tumor infiltrating lymphocytes(TILs) can help us to identify predictive biomarkers for I/O in Lung adenocarcinoma(LUAD). Methods: Multiple-dimensional data from The Cancer Genome Atlas LUAD cohort (n = 514) was used for building a mathematical model beween mutation signature and CD8+TIL score (based on MCP-counter). An independent public validation cohort (cohort 1: LUAD, n = 598) were used to assess the immunotherapeutic predictive performance of the potential mutation patterns. Results: Top 100 gene associated with CD8+TIL score were selected based on MC+ model which can provides the minimum non-convexity of the penalized loss given the level of bias. Seven TIME genes (SPTA1 coef 0.09; MET coef 0.02; HSD3B1 coef -0.00; STAT4 coef -0.01; EGFR coef -0.08; PIK3CB coef -0.08; KEAP1 coef -0.24) were generated by taking the intersection of the top 100 mutant genes and FoundationOne (F1) CDx NGS 315 genes panel and verified in cohort 1. Survival analysis showed that SPTA1mt was the only one that associated with both significantly longer PFS (median PFS 3.15 vs 2.89 months; HR 0.65; 95% CI 0.45 to 0.93; p = 0.02) and OS (median PFS 15.08 vs 7.36 months; HR 0.59; 95% CI 0.40 to 0.88; p = 0.01) for patients who received I/O compared with chemotherapy(CT) among seven TIME genes. In order to test our hypothesis fully, a pooled analysis of SPTA1mt (a core positive predictors of CD8+TILs) and KEAP1mt (a core negative predictors for CD8+TILs ) were conducted and yielded that co occurrence of SPTA1mt and KEAP1mt had a compound effects for TIME. The validation showed that co mutation with SPTA1mt was accompanied by an decrease HR for I/O vs. CT in both PFS (HR S+K vs. K only 0.59 vs 1.56) and OS (HR S+K vs. K only 0.39 vs 0.80) for KEAP1mt patients. Conclusions: Our data show that it is feasible to identify individuals or groups of individual with specific mutations to immunotherapy responses from TIME view. SPTA1mt was a core predictors for higher CD8+ TILs and can be identified as a predictive biomarker for benefit from I/O compared with CT. Prospective studies are warranted for further investigation.

scholarly journals Utility of a custom designed next generation DNA sequencing gene panel to molecularly classify endometrial cancers according to The Cancer Genome Atlas subgroups

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Eirwen M. Miller ◽  
Nicole E. Patterson ◽  
Gregory M. Gressel ◽  
Rouzan G. Karabakhtsian ◽  
Michal Bejerano-Sagie ◽  
...  
Keyword(s):  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Targeted Sequencing ◽  
Molecular Subgroups ◽  
Mutational Burden ◽  
Tumor Mutational Burden ◽  
Cancer Genome Atlas ◽  
Endometrial Cancers ◽  
Grade 3 ◽  
Genome Atlas

Abstract Background The Cancer Genome Atlas identified four molecular subgroups of endometrial cancer with survival differences based on whole genome, transcriptomic, and proteomic characterization. Clinically accessible algorithms that reproduce this data are needed. Our aim was to determine if targeted sequencing alone allowed for molecular classification of endometrial cancer. Methods Using a custom-designed 156 gene panel, we analyzed 47 endometrial cancers and matching non-tumor tissue. Variants were annotated for pathogenicity and medical records were reviewed for the clinicopathologic variables. Using molecular characteristics, tumors were classified into four subgroups. Group 1 included patients with > 570 unfiltered somatic variants, > 9 cytosine to adenine nucleotide substitutions per sample, and < 1 cytosine to guanine nucleotide substitution per sample. Group 2 included patients with any somatic mutation in MSH2, MSH6, MLH1, PMS2. Group 3 included patients with TP53 mutations without mutation in mismatch repair genes. Remaining patients were classified as group 4. Analyses were performed using SAS 9.4 (SAS Institute Inc., Cary, North Carolina, USA). Results Endometrioid endometrial cancers had more candidate variants of potential pathogenic interest (median 6 IQR 4.13 vs. 2 IQR 2.3; p < 0.01) than uterine serous cancers. PTEN (82% vs. 15%, p < 0.01) and PIK3CA (74% vs. 23%, p < 0.01) mutations were more frequent in endometrioid than serous carcinomas. TP53 (18% vs. 77%, p < 0.01) mutations were more frequent in serous carcinomas. Visual inspection of the number of unfiltered somatic variants per sample identified six grade 3 endometrioid samples with high tumor mutational burden, all of which demonstrated POLE mutations, most commonly P286R and V411L. Of the grade 3 endometrioid carcinomas, those with POLE mutations were less likely to have risk factors necessitating adjuvant treatment than those with low tumor mutational burden. Targeted sequencing was unable to assign samples to microsatellite unstable, copy number low, and copy number high subgroups. Conclusions Targeted sequencing can predict the presence of POLE mutations based on the tumor mutational burden. However, targeted sequencing alone is inadequate to classify endometrial cancers into molecular subgroups identified by The Cancer Genome Atlas.

scholarly journals Clinical Significance of a Novel Tumor Progression-Associated Immune Signature in Colorectal Adenocarcinoma

2021 ◽  
Vol 9 ◽  
Author(s):  
Rui Mao ◽  
Fan Yang ◽  
Zheng Wang ◽  
Chenxin Xu ◽  
Qian Liu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Colorectal Adenocarcinoma ◽  
The Cancer Genome Atlas ◽  
Screening Criteria ◽  
Immune Genes ◽  
Qrt Pcr ◽  
Reverse Transcription Pcr ◽  
Risk Patients ◽  
Cancer Genome Atlas ◽  
Immune Related Genes

BackgroundSome colorectal adenocarcinoma (CRC) patients are susceptible to recurrence, and they rapidly progress to advanced cancer stages and have a poor prognosis. There is an urgent need for efficient screening criteria to identify patients who tend to relapse in order to treat them earlier and more systematically.MethodsWe identified two groups of patients with significantly different outcomes by unsupervised cluster analysis of GSE39582 based on 101 significantly differentially expressed immune genes. To develop an accurate and specific signature based on immune-related genes to predict the recurrence of CRC, a multivariate Cox risk regression model was constructed with a training cohort composed of 519 CRC samples. The model was then validated using 129, 292, and 446 samples in the real-time quantitative reverse transcription PCR (qRT-PCR), test, and validation cohorts, respectively.ResultsThis classification system can also be used to predict the prognosis in clinical subgroups and patients with different mutation states. Four independent datasets, including qRT-PCR and The Cancer Genome Atlas (TCGA), demonstrated that they can also be used to accurately predict the overall survival of CRC patients. Further analysis suggested that high-risk patients were characterized by worse effects of chemotherapy and immunotherapy, as well as lower immune scores. Ultimately, the signature was identified as an independent prognostic factor.ConclusionThe signature can accurately predict recurrence and overall survival in patients with CRC and may serve as a powerful prognostic tool to further optimize cancer immunotherapy.

scholarly journals Inducing multiple antibodies to treat squamous cell esophageal carcinoma

2020 ◽  
Author(s):  
Isamu Hoshino ◽  
Yoshihiro Nabeya ◽  
Nobuhiro Takiguchi ◽  
Hisashi Gunji ◽  
Fumitaka Ishige ◽  
...  
Keyword(s):  
Tumor Markers ◽  
Squamous Cell ◽  
The Cancer Genome Atlas ◽  
Gene Expressions ◽  
Detection Rates ◽  
Disease Prognosis ◽  
Positive Rate ◽  
Antibody Induction ◽  
Cancer Genome Atlas ◽  
Positive Results

Abstract Background The positive response and the clinical usefulness of 14 serum antibodies in patients with esophageal squamous cell carcinoma (ESCC) were examined in this study. The Cancer Genome Atlas (TCGA) was used to investigate the frequency of gene expressions, mutations, and amplification of these 14 antigens and also the possible effects of antibody induction. Methods Blood serum derived from 85 patients with ESCC was collected and analyzed for the 14 antibodies using ELISA. The prognosis between positive and negative antibodies were then compared. The antibody panel included galectin1, HCA25a, HCC-22-5, and HSP70. Results Patient serum was positive for all antibodies, except VEGF, with the positive rates ranging from 1.18% to 10.59%. Positive rates for galectin1, HCA25a, HCC-22-5, and HSP70 were >10%. TCGA data revealed that all antigen-related genes had little or no mutation or amplification, and hence an increase in gene expression affected antibody induction. The positive results from the panel accounted for the positive rate comparable to the combination of CEA and SCC. No significant association was observed between the presence of antibodies and disease prognosis. Conclusions The detection rates of galectin1, HCA25a, HCC-22-5, and HSP70 were 10% higher in patients with ESCC. Gene overexpression may be involved in such antibody production. These four antibodies were applied as a panel in comparison with conventional tumor markers. Moreover, it was confirmed that the combination of this panel and the conventional tumor markers significantly improved the positive rate.

Cutaneous melanoma mutation pathways and driver mutations as racially biased.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e22066-e22066
Author(s):  
Margaret I Sanchez ◽  
James Michael Grichnik
Keyword(s):  
Oxidative Damage ◽  
Racial Differences ◽  
Cutaneous Melanoma ◽  
The Cancer Genome Atlas ◽  
Driver Mutations ◽  
Racial Groups ◽  
Mutational Burden ◽  
Tumor Mutational Burden ◽  
Cancer Genome Atlas ◽  
Substitution Mutations

e22066 Background: Cutaneous melanoma (CM) demonstrates differences in its clinical prevalence in different racial groups. CM generally exhibits a high tumor mutational burden (TMB) and mutually exclusive driving mutations in NRAS, BRAF or KIT. TMB may be driven by different pathways including ultraviolet radiation (UVR), oxidation and deamination. UVR is the most common mutational signature found in CMs, but deamination and oxidation are also present. Methods: We analyzed 321 CMs exome data from The Cancer Genome Atlas network. BRAF, NRAS, KIT and those without (WT) were used to divide the melanomas. Germline SNPs with racial information (Caucasian, African and Asian) that were enriched in melanomas with a particular driving mutation were identified. Results: We compared the 3 racial groups across the 4 driving mutation types, Asian SNPs were significantly higher in KIT, African in WT and Caucasian in BRAF and NRAS. The melanomas were also evaluated by the type of substitution mutations including CC > TT for UV, G > T for oxidative damage and (G/A)C (G) > (G/A)T(G) for deamination. UV and deamination appeared inversely proportional, while oxidative damage appeared to be independent. UV signal was more prominent in BRAF and NRAS groups. KIT had a greater percentage of deamination while WT revealed more oxidative damage. We further compared UV and non-UV (CC > TT absence) KIT subgroups for racial differences. Asian SNPs were greatly increased in non-UV subgroup whereas Caucasian SNPs were in UV subgroup. Further, the non-UV KIT subgroup was divided into deamination and oxidative damage subgroups to compare racial differences. Deamination was significantly increased in Asians whereas oxidative damage was higher in Caucasians. In the case of the WT group, African SNPs were significantly higher in the non UV subgroup and were primarily correlated with oxidative damage. Conclusions: This study suggests that racial genetic background may predispose the distinctive mutational and genetic environments of melanoma development.

MEpurity: estimating tumor purity using DNA methylation data

2019 ◽  
Author(s):  
Bowen Liu ◽  
Xiaofei Yang ◽  
Tingjie Wang ◽  
Jiadong Lin ◽  
Yongyong Kang ◽  
...  
Keyword(s):  
Fundamental Property ◽  
Cancer Cell Line ◽  
The Cancer Genome Atlas ◽  
Supplementary Information ◽  
Estimation Methods ◽  
Normal Sample ◽  
Cancer Data ◽  
Tumor Purity ◽  
Cancer Genome Atlas ◽  
Beta Mixture Model

Abstract Motivation Tumor purity is a fundamental property of each cancer sample and affects downstream investigations. Current tumor purity estimation methods either require matched normal sample or report moderately high tumor purity even on normal samples. It is critical to develop a novel computational approach to estimate tumor purity with sufficient precision based on tumor-only sample. Results In this study, we developed MEpurity, a beta mixture model-based algorithm, to estimate the tumor purity based on tumor-only Illumina Infinium 450k methylation microarray data. We applied MEpurity to both The Cancer Genome Atlas (TCGA) cancer data and cancer cell line data, demonstrating that MEpurity reports low tumor purity on normal samples and comparable results on tumor samples with other state-of-art methods. Availability and implementation MEpurity is a C++ program which is available at https://github.com/xjtu-omics/MEpurity. Supplementary information Supplementary data are available at Bioinformatics online.

Sign in / Sign up

Export Citation Format

Share Document