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Supplementary Tables 1-3, Figures 1-6 from Gene Expression Signatures Predictive of Bevacizumab/Erlotinib Therapeutic Benefit in Advanced Nonsquamous Non–Small Cell Lung Cancer Patients (SAKK 19/05 trial)

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posted on 2023-03-31, 19:02 authored by Anca Franzini, Florent Baty, Ina I. Macovei, Oliver Dürr, Cornelia Droege, Daniel Betticher, Bogdan D. Grigoriu, Dirk Klingbiel, Francesco Zappa, Martin H. Brutsche

Supplementary Tables 1-3, Figures 1-6. Supplementary Table 1: Statistical analysis of differences between the study group and the remaining group of patients for several variables. Supplementary Table 2: Primers used for the RT-qPCR assays. Supplementary Table 3: Leave-one-out cross-validation of the angiogenesis-associated and hypoxia gene signatures. Supplementary Figure 1: Average gene expression levels for the top 10-ranked angiogenesis signature calculated based on the microarray data (N = 42 patients) for low (Cluster A1), high (Cluster A2) and medium (Cluster A3) risk patients. Supplementary Figure 2: Average gene expression levels for the top 10-ranked hypoxia response signature calculated based on the microarray data (N = 42 patients). Supplementary Figure 3: Hierarchical clustering of top 10-ranked hypoxia-response genes significantly associated with TS, showing gene expression variation among patients. The heat map represents relative intensity values of gene expression levels. Supplementary Figure 4: Hierarchical clustering of top 10-ranked hypoxia-response genes significantly associated with OS, showing gene expression variation among patients. The heat map represents relative intensity values of gene expression levels. Supplementary Figure 5: Optimized between-group classification (OBC) sensitivity analysis for angiogenesis-associated signature (A) and hypoxia-response signature predictive of TTP under BE. Supplementary Figure 6: Association between the expression of 10-gene hypoxia-response signature predictive of TTP under BE in our study, and PFS of second line sorafenib-treated patients enrolled in the BATTLE-1 trial,1 GEO accession number: GSE33072;2 P = 0.0186, calculated by log-tank test.

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ARTICLE ABSTRACT

Purpose: We aimed to identify gene expression signatures associated with angiogenesis and hypoxia pathways with predictive value for treatment response to bevacizumab/erlotinib (BE) of nonsquamous advanced non–small cell lung cancer (NSCLC) patients.Experimental Design: Whole-genome gene expression profiling was performed on 42 biopsy samples (from SAKK 19/05 trial) using Affymetrix exon arrays, and associations with the following endpoints: time-to-progression (TTP) under therapy, tumor-shrinkage (TS), and overall survival (OS) were investigated. Next, we performed gene set enrichment analyses using genes associated with the angiogenic process and hypoxia response to evaluate their predictive value for patients' outcome.Results: Our analysis revealed that both the angiogenic and hypoxia response signatures were enriched within the genes predictive of BE response, TS, and OS. Higher gene expression levels (GEL) of the 10-gene angiogenesis-associated signature and lower levels of the 10-gene hypoxia response signature predicted improved TTP under BE, 7.1 months versus 2.1 months for low versus high-risk patients (P = 0.005), and median TTP 6.9 months versus 2.9 months (P = 0.016), respectively. The hypoxia response signature associated with higher TS at 12 weeks and improved OS (17.8 months vs. 9.9 months for low vs. high-risk patients, P = 0.001).Conclusions: We were able to identify gene expression signatures derived from the angiogenesis and hypoxia response pathways with predictive value for clinical outcome in advanced nonsquamous NSCLC patients. This could lead to the identification of clinically relevant biomarkers, which will allow for selecting the subset of patients who benefit from the treatment and predict drug response. Clin Cancer Res; 21(23); 5253–63. ©2015 AACR.See related commentary by Cascone and Heymach, p. 5188

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