Mitchell E. Garber

TL;DR: Gene expression analysis promises to extend and refine standard pathologic analysis and make possible the subclassification of adenocarcinoma into subgroups that correlated with the degree of tumor differentiation as well as patient survival.

TL;DR: Three model-free approaches based on high Pearson correlation to a perfectly differentiating gene ('ideal discriminator method') are compared to identify biologically relevant differentially expressed genes that allow clear separation of groups in question.

TL;DR: The data suggest that the loss of PDCD4 expression is a prognostic factor in lung cancer and may correlate with tumour progression, and the relationship between PD CD4 expression and clinicopathological parameters was established.

TL;DR: In this paper, the p63 expression at mRNA transcript and protein levels in human lung cancers, including squamous cell lung carcinoma (SCC), adenocarcinoma, large cell lung cancer (LCLC), and small cell lung tumor (SCLC) or corresponding metastatic foci was determined.