Research Paper Volume 13, Issue 15 pp 19486—19509

A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer

Identification of potential HRGs in TNBC. (A) Hypoxia ssGSEA scores were estimated in the METABRIC cohort. (B) WGCNA was applied with whole-transcriptome profiling data and hypoxia ssGSEA Z-scores. (C) The optimal soft threshold to confirm a scale free co-expression network. (D) A total of 47 non-grey modules were identified. (E) The pink module depicted the highest correlation (r = 0.64, p = 2e−24) with hypoxia. (F) Venn diagram suggested 788 hypoxia related genes in the three cohorts.

Figure 2. Identification of potential HRGs in TNBC. (A) Hypoxia ssGSEA scores were estimated in the METABRIC cohort. (B) WGCNA was applied with whole-transcriptome profiling data and hypoxia ssGSEA Z-scores. (C) The optimal soft threshold to confirm a scale free co-expression network. (D) A total of 47 non-grey modules were identified. (E) The pink module depicted the highest correlation (r = 0.64, p = 2e−24) with hypoxia. (F) Venn diagram suggested 788 hypoxia related genes in the three cohorts.