STANDARD_NAME	CHEN_LUNG_CANCER_SURVIVAL
SYSTEMATIC_NAME	M8526
COLLECTION	C2:CGP
MSIGDB_URL	https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/CHEN_LUNG_CANCER_SURVIVAL
NAMESPACE	HUMAN_GENE_SYMBOL
DESCRIPTION_BRIEF	Protein profiles associated with survival in lung adenocarcinoma.
DESCRIPTION_FULL	Morphologic assessment of lung tumors is informative but insufficient to adequately predict patient outcome. We previously identified transcriptional profiles that predict patient survival, and here we identify proteins associated with patient survival in lung adenocarcinoma. A total of 682 individual protein spots were quantified in 90 lung adenocarcinomas by using quantitative two-dimensional polyacrylamide gel electrophoresis analysis. A leave-one-out cross-validation procedure using the top 20 survival-associated proteins identified by Cox modeling indicated that protein profiles as a whole can predict survival in stage I tumor patients (P = 0.01). Thirty-three of 46 survival-associated proteins were identified by using mass spectrometry. Expression of 12 candidate proteins was confirmed as tumor-derived with immunohistochemical analysis and tissue microarrays. Oligonucleotide microarray results from both the same tumors and from an independent study showed mRNAs associated with survival for 11 of 27 encoded genes. Combined analysis of protein and mRNA data revealed 11 components of the glycolysis pathway as associated with poor survival. Among these candidates, phosphoglycerate kinase 1 was associated with survival in the protein study, in both mRNA studies and in an independent validation set of 117 adenocarcinomas and squamous lung tumors using tissue microarrays. Elevated levels of phosphoglycerate kinase 1 in the serum were also significantly correlated with poor outcome in a validation set of 107 patients with lung adenocarcinomas using ELISA analysis. These studies identify new prognostic biomarkers and indicate that protein expression profiles can predict the outcome of patients with early-stage lung cancer.
PMID	14573703
GEOID	
AUTHORS	Chen G,Gharib TG,Wang H,Huang CC,Kuick R,Thomas DG,Shedden KA,Misek DE,Taylor JM,Giordano TJ,Kardia SL,Iannettoni MD,Yee J,Hogg PJ,Orringer MB,Hanash SM,Beer DG
CONTRIBUTOR	Kate Stafford
CONTRIBUTOR_ORG	MSigDB Team
EXACT_SOURCE	Table 1
FILTERED_BY_SIMILARITY	
EXTERNAL_NAMES_FOR_SIMILAR_TERMS	
EXTERNAL_DETAILS_URL	
SOURCE_MEMBERS	AAT,ACTB,ACTG,ANXA1,ANXA8,ATP5D,CALU,ENO1B,EPHX1,FGF4,GFAP,GRK4,GRP78,GSTP1,HPRT,KRT1,KRT19,KRT7,KRT8,MYCN,P4HB,PBP,PDIR,PGAM1,PGK1,PKM2,PLCB3,RAB14,SOD2,TPI
GENE_SYMBOLS	SERPINA1,ACTB,ACTG1,ANXA1,ANXA8,ATP5F1D,CALU,,EPHX1,FGF4,GFAP,GRK4,HSPA5,GSTP1,HPRT1,KRT1,KRT19,KRT7,KRT8,MYCN,P4HB,PEBP1,PDIA5,PGAM1,PGK1,PKM,PLCB3,RAB14,SOD2,
FOUNDER_NAMES