2013
DOI: 10.1371/journal.pone.0082241
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Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer

Abstract: In the last decade, optimized treatment for non-small cell lung cancer had lead to improved prognosis, but the overall survival is still very short. To further understand the molecular basis of the disease we have to identify biomarkers related to survival. Here we present the development of an online tool suitable for the real-time meta-analysis of published lung cancer microarray datasets to identify biomarkers related to survival. We searched the caBIG, GEO and TCGA repositories to identify samples with pub… Show more

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Cited by 1,579 publications
(1,636 citation statements)
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References 43 publications
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“…To investigate the role of PHB in the breast cancer cell growth, plasmids encoding PHB were transfected into ER-positive breast cancer cell lines MCF-7 and T47D, and cells were collected at different time points (24,48, or 72 h) to determine cell survival rates. As shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To investigate the role of PHB in the breast cancer cell growth, plasmids encoding PHB were transfected into ER-positive breast cancer cell lines MCF-7 and T47D, and cells were collected at different time points (24,48, or 72 h) to determine cell survival rates. As shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Kaplan-Meier survival analyses for disease outcomes were performed using the online database (www.kmplot.com) and the percentiles of the patients between the upper and lower quartiles were auto-selected based on the computed best performing thresholds as cutoffs. 24 …”
Section: Clinical Samples and Survival Analysismentioning
confidence: 99%
“…Interestingly, TP53 was also found highly expressed in TLR7 hi patients (Figure 7D). We then searched for correlation between the level of gene expression and survival of adenocarcinoma lung cancer patients, using the public software KM plotter 13 . High expression of KRT-7 and KRT-19, as well as that of NME1 and TP53, significantly correlated with poor clinical outcome (Figure 7E).…”
Section: Resultsmentioning
confidence: 99%
“…We used a previously established lung cancer microarray database33 that contains 2,437 samples measured using Affymetrix HGU133 microarrays (1,800 samples from GEO, http://www.ncbi.nlm.nih.gov/geo/), 504 samples from CaArray project, http://cabig.cancer.gov/ and 133 samples from the TCGA repository). Gene chips were normalized with the MAS5 algorithm by the Affy Bioconductor library.…”
Section: Methodsmentioning
confidence: 99%