Discovering the anticancer potential of non-oncology drugs by systematic viability profiling
SM Corsello, RT Nagari, RD Spangler, J Rossen… - Nature cancer, 2020 - nature.com
Anticancer uses of non-oncology drugs have occasionally been found, but such discoveries
have been serendipitous. We sought to create a public resource containing the growth …
have been serendipitous. We sought to create a public resource containing the growth …
[HTML][HTML] Integrative molecular characterization of sarcomatoid and rhabdoid renal cell carcinoma
Z Bakouny, DA Braun, SA Shukla, W Pan, X Gao… - Nature …, 2021 - nature.com
Sarcomatoid and rhabdoid (S/R) renal cell carcinoma (RCC) are highly aggressive tumors
with limited molecular and clinical characterization. Emerging evidence suggests immune …
with limited molecular and clinical characterization. Emerging evidence suggests immune …
[PDF][PDF] A modular master regulator landscape controls cancer transcriptional identity
Despite considerable efforts, the mechanisms linking genomic alterations to the
transcriptional identity of cancer cells remain elusive. Integrative genomic analysis, using a …
transcriptional identity of cancer cells remain elusive. Integrative genomic analysis, using a …
Mechanistic and data-driven models of cell signaling: Tools for fundamental discovery and rational design of therapy
A full understanding of cell signaling processes requires knowledge of protein structure–
function relationships, protein–protein interactions, and the abilities of pathways to control …
function relationships, protein–protein interactions, and the abilities of pathways to control …
[HTML][HTML] Proteomic and phosphoproteomic measurements enhance ability to predict ex vivo drug response in AML
Abstract Acute Myeloid Leukemia (AML) affects 20,000 patients in the US annually with a
five-year survival rate of approximately 25%. One reason for the low survival rate is the high …
five-year survival rate of approximately 25%. One reason for the low survival rate is the high …
Gene expression has more power for predicting in vitro cancer cell vulnerabilities than genomics
Achieving precision oncology requires accurate identification of targetable cancer
vulnerabilities in patients. Generally, genomic features are regarded as the state-of-the-art …
vulnerabilities in patients. Generally, genomic features are regarded as the state-of-the-art …
[PDF][PDF] Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia
Acute myeloid leukemia is a poor-prognosis cancer commonly stratified by genetic
aberrations, but these mutations are often heterogeneous and fail to consistently predict …
aberrations, but these mutations are often heterogeneous and fail to consistently predict …
[HTML][HTML] Gene expression-based prediction of pazopanib efficacy in sarcoma
CE Heilig, A Laßmann, SS Mughal, A Mock… - European Journal of …, 2022 - Elsevier
Background The multi-receptor tyrosine kinase inhibitor pazopanib is approved for the
treatment of advanced soft-tissue sarcoma and has also shown activity in other sarcoma …
treatment of advanced soft-tissue sarcoma and has also shown activity in other sarcoma …
Integrative Molecular Characterization of Sarcomatoid and Rhabdoid Renal Cell Carcinoma Reveals Determinants of Poor Prognosis and Response to Immune …
Z Bakouny, DA Braun, SA Shukla, W Pan, X Gao… - bioRxiv, 2020 - biorxiv.org
Sarcomatoid and rhabdoid (S/R) renal cell carcinoma (RCC) are highly aggressive tumors
with limited molecular and clinical characterization. Emerging evidence suggests immune …
with limited molecular and clinical characterization. Emerging evidence suggests immune …
Inferring context-specific essentiality networks using large-scale CRISPR-KO screens
PH Weidemüller - 2024 - repository.cam.ac.uk
Large-scale genome-wide CRISPR knockout screens, such as the ones from DepMap and
Project Score, revealed that a lot of genes are essential, ie required, in only a subset of cell …
Project Score, revealed that a lot of genes are essential, ie required, in only a subset of cell …