Unknown

Dataset Information

0

Development and validation of a hypoxia-related prognostic signature for breast cancer.


ABSTRACT: Hypoxia, an important component of the tumor microenvironment, plays a crucial role in the occurrence and progression of cancer. However, to the best of our knowledge, a systematic analysis of a hypoxia-related prognostic signature for breast cancer is lacking and is urgently required. Therefore, in the present study, RNA-seq data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and served as a discovery cohort. Cox proportional hazards regression analysis was performed to construct a 14-gene prognostic signature (PFKL, P4HA2, GRHPR, SDC3, PPP1R15A, SIAH2, NDRG1, BTG1, TPD52, MAFF, ISG20, LALBA, ERRFI1 and VHL). The hypoxia-related signature successfully predicted survival outcomes of the discovery cohort (P<0.001 for the TCGA dataset). Three independent Gene Expression Omnibus databases (GSE10886, GSE20685 and GSE96058) were used as validation cohorts to verify the value of the predictive signature (P=0.007 for GSE10886, P=0.021 for GSE20685, P<0.001 for GSE96058). In the present study, a robust predictive signature was developed for patients with breast cancer, and the findings revealed that the 14-gene hypoxia-related signature could serve as a potential prognostic biomarker for breast cancer.

SUBMITTER: Wang J 

PROVIDER: S-EPMC7377061 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Development and validation of a hypoxia-related prognostic signature for breast cancer.

Wang Jianxin J   Wang Yuquan Y   Xing Ping P   Liu Qianqi Q   Zhang Cong C   Sui Yang Y   Wu Changjun C  

Oncology letters 20200616 2


Hypoxia, an important component of the tumor microenvironment, plays a crucial role in the occurrence and progression of cancer. However, to the best of our knowledge, a systematic analysis of a hypoxia-related prognostic signature for breast cancer is lacking and is urgently required. Therefore, in the present study, RNA-seq data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and served as a discovery cohort. Cox proportional hazards regression analysis was perform  ...[more]

Similar Datasets

| S-EPMC6014579 | biostudies-literature
| S-EPMC6997532 | biostudies-literature
| S-EPMC7461324 | biostudies-literature
| S-EPMC7695418 | biostudies-literature
| S-EPMC8012854 | biostudies-literature
| S-EPMC8110424 | biostudies-literature
| S-EPMC9250441 | biostudies-literature
| S-EPMC8188560 | biostudies-literature
| S-EPMC8505699 | biostudies-literature
| S-EPMC7433810 | biostudies-literature