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10.1038/srep10979

http://scihub22266oqcxt.onion/10.1038/srep10979
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C4455286!4455286!26042604
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suck abstract from ncbi


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pmid26042604      Sci+Rep 2015 ; 5 (ä): ä
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  • Pathway-based gene signatures predicting clinical outcome of lung adenocarcinoma #MMPMID26042604
  • Chang YH; Chen CM; Chen HY; Yang PC
  • Sci Rep 2015[]; 5 (ä): ä PMID26042604show ga
  • Lung adenocarcinoma is often diagnosed at an advanced stage with poor prognosis. Patients with different clinical outcomes may have similar clinico-pathological characteristics. The results of previous studies for biomarkers for lung adenocarcinoma have generally been inconsistent and limited in clinical application. In this study, we used inverse-variance weighting to combine the hazard ratios for the four datasets and performed pathway analysis to identify prognosis-associated gene signatures. A total of 2,418 genes were found to be significantly associated with overall survival. Of these, a 21-gene signature in the HMGB1/RAGE signalling pathway and a 31-gene signature in the clathrin-coated vesicle cycle pathway were significantly associated with prognosis of lung adenocarcinoma across all four datasets (all p-values?
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