Integration of proteomics into systems biology of cancer [PDF]
WIREs Systems Biology and Medicine, 2012 AbstractDeciphering the complexity and heterogeneity of cancer, benefits from integration of proteomic level data into systems biology efforts. The opportunities available as a result of advances in proteomic technologies, the successes to date, and the challenges involved in integrating diverse datasets are addressed in this review.
Mark J. Schliekelman +3 more
openaire +3 more sources
Tumor microenvironment mimicking 3D models unveil the multifaceted effects of SMAC mimetics
iScience, 2023 Summary: Small molecule IAP antagonists - SMAC mimetics (SM) - are being developed as an anticancer therapy. SM therapy was demonstrated not only to sensitize tumor cells to TNFα-mediated cell death but also to exert immunostimulatory properties.
Catarina Pinto +9 more
doaj
Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential mechanism [PDF]
Seminars in Cancer Biology 30 (2015) 42-51, 2013 Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial increase of network plasticity is followed by a decrease of plasticity at late stages of tumor development. The fluctuating intensity of stress factors, like hypoxia, inflammation
arxiv +1 more source
The Cancer Microbiome: Distinguishing Direct and Indirect Effects Requires a Systemic View [PDF]
, 2020 The collection of microbes that live in and on the human body - the human microbiome - can impact on cancer initiation, progression, and response to therapy, including cancer immunotherapy.
Mitchell, Amir, Xavier, Joao B.
core +1 more source
Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks [PDF]
, 2014 Recent tumor genome sequencing confirmed that one tumor often consists of multiple cell subpopulations (clones) which bear different, but related, genetic profiles such as mutation and copy number variation profiles. Thus far, one tumor has been viewed as a whole entity in cancer functional studies.
arxiv +1 more source
Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks [PDF]
arXiv, 2023 The vast amount of sequencing data presently available allow the scientific community to explore a range of genetic variables that may drive and progress cancer. A myriad of predictive tools has been proposed, allowing researchers and clinicians to compare and prioritize driver genes and mutations and their relative pathogenicity.
arxiv
Pioneer factors in development and cancer
iScience, 2021 Summary: Transcription factors (TFs) are essential mediators of epigenetic regulation and modifiers of penetrance. Studies from the past decades have revealed a sub-class of TF that is capable of remodeling closed chromatin states through targeting ...
Benjamin D. Sunkel, Benjamin Z. Stanton
doaj
Exposing The Cancer Genome Atlas (TCGA) as a SPARQL endpoint [PDF]
, 2011 Automated discovery of candidate biomarkers from multiple databases has been the central challenge in the Life Sciences in general and in the study of systemic processes such as those documented by The Cancer Genome Atlas (TCGA) in particular. &
Helena Deus
core +2 more sources
RUNX1 colludes with NOTCH1 to reprogram chromatin in T cell acute lymphoblastic leukemia
iScience, 2023 Summary: Runt-related transcription factor 1 (RUNX1) is oncogenic in diverse types of leukemia and epithelial cancers where its expression is associated with poor prognosis. Current models suggest that RUNX1 cooperates with other oncogenic factors (e.g.,
Rashedul Islam +8 more
doaj
Three facets of mathematical cancer biology research [PDF]
arXiv, 2023 Cancer, as the uncontrollable cell growth, is related to many branches of biology. In this review, we will discuss three mathematical approaches for studying cancer biology: population dynamics, gene regulation, and developmental biology. If we understand all biochemical mechanisms of cancer cells, we can directly calculate how the cancer cell ...
arxiv