Results 231 to 240 of about 266,299 (259)

Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells

FEBS Open Bio, EarlyView.
Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla, Martín M. Ledesma, Santiago A. Behr, Matías A. Pibuel, María L. Palanek, Daniel H. Grasso, Maria N. Garcia, Juan Garona, Silvina L. Lompardía, Elida Álvarez, Daniela L. Papademetrio   +10 more
wiley   +1 more source

Return to work and work abandonment in female breast cancer survivors: systematic review and meta-analysis protocol. [PDF]

BMJ Open
Vanzo AAF, Gutierres IG, Xavier-Neto AG, Laperche-Santos D, Resende H, Mendes GO, Oliveira SCS, Araujo ML, Medeiros KS, Cunha AACCD, Assad-Suzuki D.   +10 more
europepmc   +1 more source

Clinicopathologic characteristics and molecular landscape for pseudomyxoma peritonei of appendiceal origin. [PDF]

Ann Coloproctol
Yoon T, Shin SJ, Lee JM, Park EJ.
europepmc   +1 more source

High grade PanIN is associated with malignancy risk in IPMN patients. [PDF]

Pancreatology
Hunter MD, Habib JR, Hidalgo Salinas C, Levine JM, Mlouk K, Hewitt DB, Cohen NA, Morgan KA, Kluger MD, Cao W, Javed AA, Wolfgang CL, Sacks GD.   +12 more
europepmc   +1 more source

Incidence Trends of Early-Onset Colorectal Cancer in Germany: A Registry-Based Study From 2003 to 2023. [PDF]

Int J Cancer
Voigtländer S, Kajüter H, Wellmann I, Szentkirályi A, Holleczek B, Arndt V, Müller-Nordhorn J, ALSTER Working Group.   +7 more
europepmc   +1 more source

A Novel Preoperative Prediction Model Based on Deep Learning to Predict Neoplasm T Staging and Grading in Patients With Upper Tract Urothelial Carcinoma

Journal of Clinical Medicine, 2022
Objectives: To create a novel preoperative prediction model based on a deep learning algorithm to predict neoplasm T staging and grading in patients with upper tract urothelial carcinoma (UTUC).
Yuhui He, Ninghan Feng, Xuesong Li
exaly   +2 more sources