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- W2104375927 endingPage "19" @default.
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- W2104375927 abstract "Recent advances in the molecular classification of lung carcinomas and the identification of causative genetic alterations will likely lead to improvements in the diagnosis and treatment of patients with lung cancer. It is now possible to identify gene expression profiles that associate with patient outcome in lung carcinomas, in particular adenocarcinoma. Furthermore, patient survival has been shown to correlate with lung cancer oligonucleotide microarray expression profiles. Large-scale microarray technology may allow for the identification of useful biomarkers for early cancer detection. Oligonucleotide microarray data can be optimized by relating them to protein expression levels in tissue microarrays, by annotation with mutational data, and with results of testing for post-translational modification of cellular proteins. These data may be useful in tailoring chemotherapeutic protocols to individual tumors and identifying new targets for therapeutic intervention." @default.
- W2104375927 created "2016-06-24" @default.
- W2104375927 creator A5040851143 @default.
- W2104375927 creator A5056373767 @default.
- W2104375927 creator A5090814068 @default.
- W2104375927 date "2004-02-01" @default.
- W2104375927 modified "2023-10-17" @default.
- W2104375927 title "Molecular classification and molecular genetics of human lung cancers" @default.
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- W2104375927 doi "https://doi.org/10.1053/j.seminoncol.2003.12.009" @default.
- W2104375927 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/14981576" @default.