Robust Metabolic Transcriptional Components in 34,494 Patient-Derived Samples and Cell Lines

• DOI: 10.2139/ssrn.3720003
• Publication Date: 2020-11-04T03:02:24Z
• Authors: Vincent Christiaa...; Carlos G. Urzúa-T...; Arkajyoti Bhattac...; Marthe T.C. Walvoort; Mathilde Jalving; Steven de Jong; Rudolf S.N. Fehrmann
• Keywords: 0301 basic medicine; 0303 health sciences; 03 medical and health sciences; 3. Good health

Patient-derived bulk expression profiles of cancers can provide insight into transcriptional changes that underlie reprogrammed metabolism in cancer. However, these represent the average pattern all heterogeneous tumor and non-tumor cells present biopsy. Therefore, subtle footprints metabolic processes be concealed by other biological experimental artifacts. We therefore performed consensus Independent Component Analyses (c-ICA) with 34,494 patient-derived biopsies, non-cancer tissues cell lines. c-ICA enabled us to create a landscape which many robust components (mTCs) their activation score individual samples were defined. Here we demonstrate this used explore associations between drug sensitivities, patient outcomes, composition immune microenvironment. The explored at http://www.themetaboliclandscapeofcancer.com.