Results 251 to 260 of about 12,866,402 (338)

Sudden unexpected death in infancy:A statistical analysis of certain socioeconomic factors

, 1968
Marie Valdés-Dapena, Leonard J. Birle, J. A. McGovern, James F. McGillen, F. Herbert Colwell   +4 more
openalex   +1 more source

ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee, Keyue Chen, Ryan Loke, Xiang Li, David Liubart, Golam T. Saffi, Jonathan T. S. Chow, Ché M. P. Melo, Lydia To, Leonardo Salmena   +9 more
wiley   +1 more source

Retraction: Risk factor analysis combined with deep learning in the risk assessment of overseas investment of enterprises. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Multiple factor analysis as a method of agricultural research.

, 1961
A.H.J. Liberg, J. Mol
openalex   +2 more sources

Raphin‐1 mediates the survival and sensitivity to radiation of pediatric‐type diffuse high‐grade glioma via phosphorylated eukaryotic initiation factor 2α‐dependent and ‐independent processes

Molecular Oncology, EarlyView.
Raphin‐1 reduces the survival of PED‐DHGG cells and enhances their radiation sensitivity through both PeIF2α‐dependent and PeIF2α‐independent mechanisms. Raphin‐1 sustains elevated levels of PeIF2α, contributing to its PeIF2α‐dependent effects. Additionally, raphin‐1 interacts with CReP to mediate a separate radiosensitizing pathway that operates ...
Karin Eytan, Moshe Leitner, Amos Toren, Shoshana Paglin, Michal Yalon   +4 more
wiley   +1 more source

Multimorbidity patterns in older adults from Northern Netherlands: comparing factor analysis and latent class analysis solutions. [PDF]

BMC Geriatr
Ogaz-González R, Zou Q, Du Y, Gutiérrez-Robledo LM, Escamilla-Santiago R, López-Cervantes M, Corpeleijn E.   +6 more
europepmc   +1 more source

Targeting carbonic anhydrase IX/XII prevents the anti‐ferroptotic effect of stromal lactic acid in prostate carcinoma

Molecular Oncology, EarlyView.
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella, Giuseppina Comito, Luigi Ippolito, Erica Pranzini, Marta Iozzo, Giulia Gangarossa, Francesca Virgilio, Silvia Bua, Alessio Nocentini, Giada Sandrini, Nicla Lorito, Marina Bacci, Gabriella Nesi, Pietro Spatafora, Sergio Serni, Claudiu T. Supuran, Andrea Morandi, Paola Chiarugi, Elisa Giannoni   +18 more
wiley   +1 more source

Intersecting Paths to Health: A Factor Analysis Approach to Socioeconomic and Environmental Determinants in Indiana. [PDF]

Int J Environ Res Public Health
Ghorbany S, Hu M, Yao S, Wang C, Sisk M, Nguyen QC, Zhang K.   +6 more
europepmc   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Adaptation and validation of the scale for the prevention and control of healthcare-associated infections among nursing students: an exploratory factor analysis approach. [PDF]

Front Public Health
Ramos-Meza CS, Castro-Vargas Y, Chihuantito-Abal LA, Gallegos Aparicio E, Caballero Aparicio S, Frisancho-Camero M, Del Castillo Estrada G.   +6 more
europepmc   +1 more source