Cargando…

Mining TCGA database for gene expression in ovarian serous cystadenocarcinoma microenvironment

BACKGROUND: Ovarian cancer is one of the leading causes of female deaths worldwide. Ovarian serous cystadenocarcinoma occupies about 90% of it. Effective and accurate biomarkers for diagnosis, outcome prediction and personalized treatment are needed urgently METHODS: Gene expression profile for OSC...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xu, Youzheng, Xu, Yixin, Wang, Chun, Xia, Baoguo, Mu, Qingling, Luan, Shaohong, Fan, Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103916/ https://www.ncbi.nlm.nih.gov/pubmed/33987033 http://dx.doi.org/10.7717/peerj.11375

Ejemplares similares

Gene Expression Subtyping Reveals Immune alterations:TCGA Database for Prognosis in Ovarian Serous Cystadenocarcinoma
por: Feng, Chunxia, et al.
Publicado: (2021)

Mining TCGA database for tumor mutation burden and their clinical significance in bladder cancer
por: Lv, Jia, et al.
Publicado: (2020)

Gastric metastasis of ovarian serous cystadenocarcinoma
por: Yang, Shiqiang
Publicado: (2018)

Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets
por: Ren, Na, et al.
Publicado: (2020)

Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases
por: Zheng, Qiangqiang, et al.
Publicado: (2021)

Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis
por: Wan, Ying, et al.
Publicado: (2020)

Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets
por: Xiao, Huiting, et al.
Publicado: (2021)

Serous cystadenocarcinoma of the spleen
por: Chou, Chung Kuao, et al.
Publicado: (2017)

Mining TCGA database for genes of prognostic value in glioblastoma microenvironment
por: Jia, Di, et al.
Publicado: (2018)

Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets
por: Wu, Meijing, et al.
Publicado: (2020)

Machine learning analysis of TCGA cancer data
por: Liñares-Blanco, Jose, et al.
Publicado: (2021)

Mining TCGA database for prognostic genes in head and neck squamous cell carcinoma microenvironment
por: Ran, Qiu-Chi, et al.
Publicado: (2021)

Identification of metastasis and prognosis-associated genes for serous ovarian cancer
por: Yang, Yijun, et al.
Publicado: (2020)

Mining TCGA database for genes of prognostic value in gastric cancer microenvironment
por: Lan, Qingzhi, et al.
Publicado: (2020)

Prognostic values of GPNMB identified by mining TCGA database and STAD microenvironment
por: Yao, Kunhou, et al.
Publicado: (2020)

A multiomics comparison between endometrial cancer and serous ovarian cancer
por: Zhong, Hui, et al.
Publicado: (2020)

Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma
por: Deng, Zhenfeng, et al.
Publicado: (2019)

Next-generation sequencing shows the genomic features of ovarian clear cell cancer and compares the genetic architectures of high-grade serous ovarian cancer and clear cell carcinoma in ovarian and endometrial tissues
por: Gan, Meifu, et al.
Publicado: (2023)

Characterization of bidirectional gene pairs in The Cancer Genome Atlas (TCGA) dataset
por: Tu, Juchuanli, et al.
Publicado: (2019)

Mining of prognosis-related genes in cervical squamous cell carcinoma immune microenvironment
por: Ma, Jiong, et al.
Publicado: (2020)

Feature screening for survival trait with application to TCGA high-dimensional genomic data
por: Wang, Jie-Huei, et al.
Publicado: (2022)

Expression of hormone receptors predicts survival and platinum sensitivity of high-grade serous ovarian cancer
por: Tan, Jiahong, et al.
Publicado: (2021)

TRPs in Ovarian Serous Cystadenocarcinoma: The Expression Patterns, Prognostic Roles, and Potential Therapeutic Targets
por: Zhang, Cheng, et al.
Publicado: (2022)

Comprehensive genomic analysis of microenvironment phenotypes in ovarian cancer
por: Wang, Jingshu, et al.
Publicado: (2020)

A functional methylation signature to predict the prognosis of Chinese lung adenocarcinoma based on TCGA
por: Wang, Ke, et al.
Publicado: (2021)

Identification of tumor microenvironment-related genes in lower-grade gliomas by mining TCGA database
por: Liang, Huaizhen, et al.
Publicado: (2020)

Increased Expression of LYNX1 in Ovarian Serous Cystadenocarcinoma Predicts Poor Prognosis
por: Liu, Hui, et al.
Publicado: (2020)

An Immune-Related Gene-Based Signature as Prognostic Tool in Ovarian Serous Cystadenocarcinoma
por: Shi, Fengjuan, et al.
Publicado: (2021)

Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
por: Wang, Yuanyong, et al.
Publicado: (2019)

Comprehensive analysis of the expression of sodium/potassium-ATPase α subunits and prognosis of ovarian serous cystadenocarcinoma
por: Huang, Wei, et al.
Publicado: (2020)

Pancreatic serous cystadenocarcinoma with invasive growth into the colon and spleen
por: Cho, Wontae, et al.
Publicado: (2011)

Integrated genomic analyses of lung squamous cell carcinoma for identification of a possible competitive endogenous RNA network by means of TCGA datasets
por: Ning, Pengbo, et al.
Publicado: (2018)

KRT19 is a Promising Prognostic Biomarker and Associates with Immune Infiltrates in Serous Ovarian Cystadenocarcinoma
por: Sun, Zhe, et al.
Publicado: (2023)

Elevated CDK5R1 predicts worse prognosis in hepatocellular carcinoma based on TCGA data
por: Zeng, Zhili, et al.
Publicado: (2021)

Novel Driver Strength Index highlights important cancer genes in TCGA PanCanAtlas patients
por: Belikov, Aleksey V., et al.
Publicado: (2022)

Comprehensive characterization of the alternative splicing landscape in ovarian cancer reveals novel events associated with tumor-immune microenvironment
por: Sun, Dan, et al.
Publicado: (2022)

Estimation of Prognostic Marker Genes by Public Microarray Data in Patients with Ovarian Serous Cystadenocarcinoma
por: Yang, San-Duk, et al.
Publicado: (2016)

A Five-Gene Expression Signature Predicts Clinical Outcome of Ovarian Serous Cystadenocarcinoma
por: Liu, Li-Wei, et al.
Publicado: (2016)

Expression of Yes-associated protein 1 and its clinical significance in ovarian serous cystadenocarcinoma
por: Cho, Sang Yeon, et al.
Publicado: (2017)

Development and Validation of an RNA-Binding Protein-Based Prognostic Model for Ovarian Serous Cystadenocarcinoma
por: He, Yunan, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_cark5e15j1d06ooo3snuver66m