Results 211 to 220 of about 4,757,028 (307)
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Photoactivation in Chemotherapeutic Compounds for Cancer Treatment: Opportunities Beyond Photodynamic Therapy. [PDF]
Mbugua SN, Nyawade EA.
europepmc +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Resveratrol for Cancer Treatment: Effects on Metabolism and Immune Cells. [PDF]
Bao R, Wang T, Jiang W.
europepmc +1 more source
E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov +3 more
wiley +1 more source
Japanese gastric cancer treatment guidelines 2025 (7th edition). [PDF]
Japanese Gastric Cancer Association.
europepmc +1 more source
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Machine learning application in colon cancer treatment outcome prediction. [PDF]
Ghasemi H +8 more
europepmc +1 more source

