Results 171 to 180 of about 28,926,907 (345)
Three-gene risk model in papillary renal cell carcinoma: a robust likelihood-based survival analysis
Yutao Wang +12 more
openalex +2 more sources
28P 3-year follow-up analysis of disease-free survival in CheckMate 274 by PD-L1 expression using tumor cell and combined positive scoring algorithms [PDF]
F. Stenner-Liewen +14 more
openalex +1 more source
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Secondary Cancer after Androgen Deprivation Therapy in Prostate Cancer: A Nationwide Study
Purpose: Androgen signaling is associated with various secondary cancer, which could be promising for potential treatment using androgen deprivation therapy (ADT). This study investigated whether ADT use was associated with secondary cancers other than
Jae Heon Kim +3 more
doaj +1 more source
Landmark mediation survival analysis using longitudinal surrogate
Jie Zhou +4 more
openalex +1 more source
Investigating the post-complaint period by means of survival analysis [PDF]
Larivière, Bart, Van den Poel, Dirk
core +2 more sources
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
In Flight Cardiac Arrest (IFCA) Survival: A Concept Analysis
Manjushambika Rajagopal
openalex +2 more sources
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa +14 more
wiley +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source

