Results 301 to 310 of about 55,098,274 (381)
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine+10 more
wiley +1 more source
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte+10 more
wiley +1 more source
Machine learning model for predicting recurrence following intensity-modulated radiation therapy in nasopharyngeal carcinoma. [PDF]
Wang M, Yao Q, Zhu W, Xiao N, Dai L.
europepmc +1 more source
Debt-for-Nature Swaps: Environmental Investments Using Taxpayer Funds Without Adequate Remedies for Expropriation [PDF]
Model, Rosanne
core +2 more sources
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song+11 more
wiley +1 more source
Recommendations for reporting regression-based norms and the development of free-access tools to implement them in practice. [PDF]
Blagus R+4 more
europepmc +1 more source
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton+17 more
wiley +1 more source
Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning. [PDF]
Shang S+5 more
europepmc +1 more source