[HTML][HTML] Identifying epistasis in cancer genomes: a delicate affair

J van de Haar, S Canisius, KY Michael, EE Voest… - Cell, 2019 - cell.com
Recent studies of the tumor genome seek to identify cancer pathways as groups of genes in
which mutations are epistatic with one another or, specifically," mutually exclusive." Here, we …

Data integration and predictive modeling methods for multi-omics datasets

M Kim, I Tagkopoulos - Molecular omics, 2018 - pubs.rsc.org
Translating data to knowledge and actionable insights is the Holy Grail for many scientific
fields, including biology. The unprecedented massive and heterogeneous data have created …

Combinatorial CRISPR screen identifies fitness effects of gene paralogues

NA Thompson, M Ranzani, L van der Weyden… - Nature …, 2021 - nature.com
Genetic redundancy has evolved as a way for human cells to survive the loss of genes that
are single copy and essential in other organisms, but also allows tumours to survive despite …

Harnessing synthetic lethality to predict the response to cancer treatment

JS Lee, A Das, L Jerby-Arnon, R Arafeh… - Nature …, 2018 - nature.com
While synthetic lethality (SL) holds promise in developing effective cancer therapies, SL
candidates found via experimental screens often have limited translational value. Here we …

Predicting synthetic lethal interactions using heterogeneous data sources

H Liany, A Jeyasekharan, V Rajan - Bioinformatics, 2020 - academic.oup.com
Motivation A synthetic lethal (SL) interaction is a relationship between two functional entities
where the loss of either one of the entities is viable but the loss of both entities is lethal to the …

CSSLdb: Discovery of cancer-specific synthetic lethal interactions based on machine learning and statistic inference

Y Dou, Y Ren, X Zhao, J Jin, S Xiong, L Luo… - Computers in Biology …, 2024 - Elsevier
Synthetic lethality (SL) occurs when the inactivation of two genes results in cell death while
the inactivation of either gene alone is non-lethal. SL-based therapy has become a …

Oncogenomic portals for the visualization and analysis of genome-wide cancer data

K Klonowska, K Czubak, M Wojciechowska… - …, 2015 - pmc.ncbi.nlm.nih.gov
Somatically acquired genomic alterations that drive oncogenic cellular processes are of
great scientific and clinical interest. Since the initiation of large-scale cancer genomic …

Synthetic dosage lethality in the human metabolic network is highly predictive of tumor growth and cancer patient survival

W Megchelenbrink, R Katzir, X Lu… - Proceedings of the …, 2015 - National Acad Sciences
Synthetic dosage lethality (SDL) denotes a genetic interaction between two genes whereby
the underexpression of gene A combined with the overexpression of gene B is lethal. SDLs …

A road map to personalizing targeted cancer therapies using synthetic lethality

S Parameswaran, D Kundapur, FS Vizeacoumar… - Trends in Cancer, 2019 - cell.com
Targeted therapies rely on the genetic and epigenetic status of the tumor cells and are seen
as the most promising approach to treat cancer today. However, current targeted therapies …

Combination of niraparib, cisplatin and twist knockdown in cisplatin-resistant ovarian cancer cells potentially enhances synthetic lethality through ER-stress mediated …

E Bahar, JY Kim, DC Kim, HS Kim, H Yoon - International journal of …, 2021 - mdpi.com
Poly (ADP-ribose) polymerase 1 inhibitors (PARPi) are used to treat recurrent ovarian
cancer (OC) patients due to greater survival benefits and minimal side effects, especially in …