Team IDs Age- and Sex-Specific Non-Small Cell Lung Cancer Recurrence Signatures
Mostertz, Stevenson, et al., JAMA
A Duke University research team combined gene expression data for 787 non-small cell lung cancer tumors from four previously published studies to come up with gene expression profiles corresponding to higher or lower risk of cancer recurrence in subsets of NSCLC patients. When they combined clinical and gene expression data, they found that recurrence risk was associated with different pathways depending on patient age and sex, with patients 70 years and older showing distinct high- and low- risk profiles compared to younger patients and men and women showing further stratified pathway activation.
High-Throughput Method Gives Genetic Interaction Data From Cell Morphology, Screening Experiments
Nir, Bakal, et al., Genome Research
Researchers from the Massachusetts Institute of Technology and Harvard University demonstrate that they can tease apart within- and between- pathway interactions for the Rho G-protein signaling pathway using a computational method that translates morphological data from cell imaging experiments into information on genetic interactions in individual Drosophila cells being screened using RNA interference. The approach relies on a classification model that incorporated morphological information on nearly 150 geometric features as well as several status features for each cell.
