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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.

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

OBJECTIVE Surgical treatment of locally advanced non-small cell lung cancer including single or multilevel N2 remains a matter of debate. Several trials demonstrate that selected patients benefit from surgery if R0 resection is achieved. We aimed to assess resectability and outcome of patients with locally advanced clinical T3/T4 (American Joint Committee on Cancer 8th edition) tumors after induction treatment followed by surgery in a pooled analysis of 3 prospective multicenter trials. METHODS A total of 197 patients with T3/T4 non-small cell lung cancer of 368 patients with stage III non-small cell lung cancer enrolled in the Swiss Group for Clinical Cancer Research 16/96, 16/00, 16/01 trials were treated with induction chemotherapy or chemoradiation therapy followed by surgery, including extended resections. Univariable and multivariable analyses were applied for analysis of outcome parameters. RESULTS Patients' median age was 60 years, and 67% were male. A total of 38 of 197 patients were not resected for technical (81%) or medical (19%) reasons. A total of 159 resections including 36 extended resections were performed with an 80% R0 and 13.2% pathological complete response rate. The 30- and 90-day mortality were 3% and 7%, respectively, without a difference for extended resections. Morbidity was 32% with the majority (70%) of minor grading complications. The 3-, 5-, and 10-year overall survivals for extended resections were 61% (95% confidence interval, 43-75), 44% (95% confidence interval, 27-59), and 29.5% (95% confidence interval, 13-48), respectively. R0 resection was associated with improved overall survival (hazard ratio, 0.41; P

The objectives were to describe patients' experiences of cancer care in Switzerland and explore the variation of these experiences by type of cancer. The Swiss Cancer Patient Experiences (SCAPE) study was a cross-sectional, multicentre survey conducted in 2018. Adult patients (n = 7145) with breast, prostate, lung, colorectal, skin or haematological cancer from four large hospitals in French-speaking Switzerland were invited to complete a survey. Logistic regressions were used to assess whether experiences varied according to cancer type, adjusting for confounders. Of the 3121 persons who returned the survey (44% response rate), 2755 reporting an eligible cancer were included in the analyses. Participants' average score for overall care was 8.5 out of a maximum score of 10. Higher rates of positive experiences were found for nurse consultations (94%), diagnostic tests (85%) and inpatient care (82%). Lower positive responses were reported for support for people with cancer (70%), treatment decisions (66%), diagnosis (65%) and home care (55%). We observed non-systematic differences in experiences of care by cancer type. This large study identified that cancer patient experiences can be improved in relation to communication, information and supportive care aspects. Improvement efforts should target these areas of care to enhance responsiveness of cancer care.