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Prognostic Significance of Hypoxia Meta-Signatures in HNSCC and BC

Explore the predictive value of hypoxia meta-signatures derived in datasets for head and neck squamous cell carcinoma (HNSCC) and breast cancer (BC). The Hazard Ratio (HR) for Metastases-Free Survival (MFS) and Recurrence-Free Survival (RFS) is analyzed using Cox multivariate analysis. The study includes NKI and GSE2034 datasets, depicting cumulative forest plots with confidence limits. Significant HR values are highlighted in red. The plots demonstrate the impact of the hypoxia meta-signatures in predicting patient outcomes. Refer to Materials and Methods for detailed information on the analysis methodology.

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Prognostic Significance of Hypoxia Meta-Signatures in HNSCC and BC

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  1. A B HMS derived in HNSCC HMS derived in BC c) HR for MFS [NKI data] HR for MFS [NKI data] C D HMS derived in HNSCC HMS derived in BC HR for RFS [GSE2034 data] HR for RFS [GSE2034 data] Figure S5. Prognostic significance of hypoxia meta-signatures (HMS) derived in HNSCC and BC datasets. Cumulative forest plots of Hazard Ratio (HR) and 95% confidence limits of the MHS score in a Cox multivariate analysis including other clinical prognostic factors are shown. Signatures are tested on the NKI (A, B) and GSE2034 (C, D) datasets (Table 1); metastases-free survival , MFS, and recurrence-free survival, RFS, are considered respectively. HR are shown in red, the black dots are the HRs for the permuted list. For details on the methods used to build these plots see Materials and Methods. The control shown at the bottom of the plots is the average HR when randomly sampling a number of genes equal to the full signature (x100 times). Seed choice was A in Table S1.

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