Onco‐multi‐OMICS approach: a new frontier in cancer research

S Chakraborty, MI Hosen, M Ahmed… - BioMed research …, 2018 - Wiley Online Library
The acquisition of cancer hallmarks requires molecular alterations at multiple levels
including genome, epigenome, transcriptome, proteome, and metabolome. In the past …

Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity

AB Pavel, D Sonkin, A Reddy - BMC Systems Biology, 2016 - Springer
Background High throughput technologies have been used to profile genes in multiple
different dimensions, such as genetic variation, copy number, gene and protein expression …

Integration of tumor genomic data with cell lines using multi-dimensional network modules improves cancer pharmacogenomics

JT Webber, S Kaushik, S Bandyopadhyay - Cell systems, 2018 - cell.com
Leveraging insights from genomic studies of patient tumors is limited by the discordance
between these tumors and the cell line models used for functional studies. We integrate …

Understanding genotype-phenotype effects in cancer via network approaches

YA Kim, DY Cho, TM Przytycka - PLoS computational biology, 2016 - journals.plos.org
Author Summary Cancer is now increasingly studied from the perspective of dysregulated
pathways, rather than as a disease resulting from mutations of individual genes. A pathway …

Cancer: More than a geneticist's Pandora's box

K Saxena, AR Subbalakshmi, P Kulkarni… - Journal of Biosciences, 2022 - Springer
Despite identical genetic constitution, a cancer cell population can exhibit phenotypic
variations termed as non-genetic/non-mutational heterogeneity. Such heterogeneity–a …

Interacting cancer machineries: cell signaling, lipid metabolism, and epigenetics

TW Grunt - Trends in Endocrinology & Metabolism, 2018 - cell.com
Cancer-specific perturbations of signaling, metabolism, and epigenetics can be a cause
and/or consequence of malignant transformation. Evidence indicates that these regulatory …

From cell lines to living biosensors: new opportunities to prioritize cancer dependencies using ex vivo tumor cultures

YY Tseng, JS Boehm - Current Opinion in Genetics & Development, 2019 - Elsevier
Precision cancer medicine is based on the ability to predict the dependencies of a given
tumor from its molecular makeup. These dependencies can be exploited with targeted …

Tumor-derived cell lines as molecular models of cancer pharmacogenomics

A Goodspeed, LM Heiser, JW Gray… - Molecular Cancer …, 2016 - AACR
Compared with normal cells, tumor cells have undergone an array of genetic and epigenetic
alterations. Often, these changes underlie cancer development, progression, and drug …

Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors

LM Sanders, R Chandra, N Zebarjadi… - Communications …, 2022 - nature.com
Cancer cell lines have been widely used for decades to study biological processes driving
cancer development, and to identify biomarkers of response to therapeutic agents …

Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

H Alkhatib, AM Rubinstein, S Vasudevan… - Genome medicine, 2022 - Springer
Background Drug resistance continues to be a major limiting factor across diverse anti-
cancer therapies. Contributing to the complexity of this challenge is cancer plasticity, in …