Additional Supporting Information may be found in the online version of this article.

IJC_25568_sm_suppinfofigures.pdf582KSupplementary Figure S1. Schematic illustration of the strategy used to identify potential serum biomarkers for NSCLC. The diagram represents integration of CL1-0 and CL1-5 secretome datasets with the GDS1650 pulmonary adenocarcinoma tissue transcriptome dataset. The CL1-0 and CL1-5 secretome datasets contain 1096 and 1830 proteins, while the GDS1650 transcriptome dataset contains 285 unique genes with tumor/normal ratio > 4-fold. In total, 35 potential biomarkers are presented in single or both secretome datasets. Supplementary Figure S2. The relationship between cytoplasmic and nuclear expression of KPNA2. The cytoplasmic KPNA2 expression was positively correlated to nuclear KPNA2 expression in 66 NSCLC tumor tissues. Spearman correlation coefficient= 0.518 , p<0.001. IHC score, (score of overall percentage of stained cells × score of median intensity staining) ×100. Supplementary Figure S3. Comparison of lung cancer cell lines secretomes used in the current study (Wang et al.) with four other lung cancer cell lines secretomes (Planque et al.) (a) The overlap of proteins identified from CL1-0, CL1-5 (Wang et al.) and H23 (Planque et al.) adenocarcinoma cell lines. (b) The overlap of proteins identified from CL1-0 and CL1-5 cell lines (Wang et al.), and four lung cancer cell lines with different histological backgrounds (Planque et al.).
IJC_25568_sm_suppinfotable.doc95KSupplementary Table S1. Immunohistochemical analysis of NBS1 expression in 38 NSCLC tumor tissues with positive nuclear KPNA2 stain.

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