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Full-Text Articles in Genetics and Genomics
Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan
Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan
Articles, Abstracts, and Reports
Metabolic reprogramming and its molecular underpinnings are critical to unravel the duality of cancer cell function and chemo-resistance. Here, we use a constraints-based integrated approach to delineate the interplay between metabolism and epigenetics, hardwired in the genome, to shape temozolomide (TMZ) resistance. Differential metabolism was identified in response to TMZ at varying concentrations in both the resistant neurospheroidal (NSP) and the susceptible (U87MG) glioblastoma cell-lines. The genetic basis of this metabolic adaptation was characterized by whole exome sequencing that identified mutations in signaling pathway regulators of growth and energy metabolism. Remarkably, our integrated approach identified rewiring in glycolysis, TCA cycle, …
Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib
Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib
Articles, Abstracts, and Reports
The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons. First, such biomarkers find practical application in a clinical context for the treatment of patients. Second, interrogation of the biomarkers themselves is assumed to lead to novel insights of disease mechanisms and the underlying molecular processes that cause the pathological behavior. For breast cancer, many signatures based on gene expression values have been reported to be associated with overall survival. Consequently, such signatures have been used for suggesting biological explanations of breast cancer and drug mechanisms. In this paper, we demonstrate for a large …