scholarly journals Multiomics profile and prognostic gene signature of m6A regulators in uterine corpus endometrial carcinoma

2020 ◽  
Vol 11 (21) ◽  
pp. 6390-6401 ◽  
Author(s):  
Yizi Wang ◽  
Fang Ren ◽  
Zixuan Song ◽  
Xiaoying Wang ◽  
Xiaoxin Ma
Keyword(s):  
Endometrial Carcinoma ◽  
Gene Signature ◽  
Uterine Corpus ◽  
Prognostic Gene ◽  
Prognostic Gene Signature

scholarly journals A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12304
Author(s):  
Zhengyuan Wu ◽  
Leilei Chen ◽  
Chaojie Jin ◽  
Jing Xu ◽  
Xingqun Zhang ◽  
...  
Keyword(s):  
Cutaneous Melanoma ◽  
Immune Status ◽  
Immune Cell ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Tumor Cell Death ◽  
Prognostic Gene ◽  
Prognostic Gene Signature

Background Cutaneous melanoma (CM) is a life-threatening destructive malignancy. Pyroptosis significantly correlates with programmed tumor cell death and its microenvironment through active host-tumor crosstalk. However, the prognostic value of pyroptosis-associated gene signatures in CM remains unclear. Methods Gene profiles and clinical data of patients with CM were downloaded from The Cancer Genome Atlas (TCGA) to identify differentially expressed genes associated with pyroptosis and overall survival (OS). We constructed a prognostic gene signature using LASSO analysis, then applied immune cell infiltration scores and Kaplan-Meier, Cox, and pathway enrichment analyses to determine the roles of the gene signature in CM. A validation cohort was collected from the Gene Expression Omnibus (GEO) database. Results Four pyroptosis-associated genes were identified and incorporated into a prognostic gene signature. Integrated bioinformatics findings showed that the signature correlated with patient survival and was associated with tumor growth and metastasis. The results of Gene Set Enrichment Analysis of a risk signature indicated that several enriched pathways are associated with cancer and immunity. The risk signature for immune status significantly correlated with tumor stem cells, the immune microenvironment, immune cell infiltration and immune subtypes. The expression of four pyroptosis genes significantly correlated with the OS of patients with CM and was related to the sensitivity of cancer cells to several antitumor drugs. A signature comprising four genes associated with pyroptosis offers a novel approach to the prognosis and survival of patients with CM and will facilitate the development of individualized therapy.

scholarly journals Immune Landscape of the Tumor Microenvironment Identifies Prognostic Gene Signature CD4/CD68/CSF1R in Osteosarcoma

2020 ◽  
Vol 10 ◽  
Author(s):  
Yi-jiang Song ◽  
Yanyang Xu ◽  
Xiaojun Zhu ◽  
Jianchang Fu ◽  
Chuangzhong Deng ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Gene Signature ◽  
Prognostic Gene ◽  
Prognostic Gene Signature

scholarly journals Identification of a prognostic gene signature based on an immunogenomic landscape analysis of bladder cancer

2020 ◽  
Vol 24 (22) ◽  
pp. 13370-13382
Author(s):  
Yongwen Luo ◽  
Liang Chen ◽  
Qiang Zhou ◽  
Yaoyi Xiong ◽  
Gang Wang ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Gene Signature ◽  
Landscape Analysis ◽  
Prognostic Gene ◽  
Prognostic Gene Signature

575 Generation and Validation of a Prognostic Gene Signature for Esophageal Adenocarcinoma

2009 ◽  
Vol 136 (5) ◽  
pp. A-91
Author(s):  
Christopher J. Peters ◽  
Jonathan R. Rees ◽  
James S. Hardwick ◽  
Chunsheng Zhang ◽  
Richard H. Hardwick ◽  
...  
Keyword(s):  
Esophageal Adenocarcinoma ◽  
Gene Signature ◽  
Prognostic Gene ◽  
Prognostic Gene Signature

scholarly journals Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma

2020 ◽  
Author(s):  
Cankun Zhou ◽  
Chaomei Li ◽  
Fangli Yan ◽  
Yuhua Zheng
Keyword(s):  
Endometrial Carcinoma ◽  
Risk Score ◽  
Prognostic Model ◽  
Immune Cell ◽  
Gene Signature ◽  
Cancer Genome ◽  
Functional Enrichment ◽  
Immune Gene ◽  
Uterine Corpus ◽  
Immune Genes

Abstract Background: Uterine corpus endometrial carcinoma (UCEC) is a frequent gynecological malignancy with a poor prognosis especially when at an advanced stage. In the present study, we explored the potential of an immune-related gene signature to predict overall survival in UCEC patients.Methods: We analyzed expression data of 616 UCEC patients from The Cancer Genome Atlas database and the International Cancer Genome Consortium as well as immune genes from the ImmPort database and identified the signature. We constructed a transcription factor regulatory network based on Cistrome databases and performed functional enrichment and pathway analyses for the differentially expressed immune genes. Moreover, the prognostic value of 410 immune genes was determined using Cox regression analysis then constructed a prognostic model. Finally, we performed immune infiltration analysis using TIMER-generating immune cell content.Results: Results indicated that the immune cell microenvironment as well as the PI3K-Akt, and MARK signaling pathways were involved in UCEC development. The established prognostic model revealed a ten-gene prognosis signature , comprising PDIA3, LTA, PSMC4, TNF, SBDS, HDGF, HTR3E, NR3C1, PGR, and CBLC . This can be used as an independent tool to predict the prognosis of UCEC owing to the observed risk-score. In addition, levels of B cells and neutrophils were significantly correlated with the patient's risk score, and the expression of ten genes is associated with immune cell infiltrates.Conclusions: In summary, we present a 10-gene signature with the potential to predict the prognosis of UCEC. This is expected to guide future development of individualized treatment approaches.

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