Results 251 to 260 of about 35,471,630 (314)

The influence of ROS1 fusion partners and resistance mechanisms in ROS1‐TKI‐treated non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
This real‐world study of ROS1+ NSCLC highlights fusion diversity, treatment outcomes with crizotinib and lorlatinib, and in vitro experiments with resistance mechanisms. G2032R drives strong resistance to ROS1‐targeted TKIs, especially lorlatinib. Fusion partner location does not affect overall survival to crizotinib or lorlatinib. Findings support the
Fenneke Zwierenga, Christa Dijkhuizen, Patrick Korthuis, Wim Timens, Harry Groen, Jeroen Hiltermann, Anke van den Berg, Lyndsay Drayer, Anthonie van der Wekken   +8 more
wiley   +1 more source

Validating adverse events in administrative healthcare data in ireland: a retrospective chart review study. [PDF]

BMC Health Serv Res
Connolly A, Unbeck M, Bane F, Bail K, Craig M, Matthews A, Staines A, Kirwan M.   +7 more
europepmc   +1 more source

Hypomethylating agents increase L1 retroelement expression without inducing novel insertions in myeloid malignancies

Molecular Oncology, EarlyView.
We investigated whether hypomethylating agents (HMAs) used in myeloid malignancies induce somatic retrotransposition. Our findings indicate that HMA treatment increases L1‐encoded protein expression but does not lead to detectable de novo retrotransposition events in either patient samples or cell lines.
Šárka Pavlová, Hana Svozilová, Marcela Krzyžánková, Radim Sonnek, Anastasiya Volakhava, Anastasia Smirnova, Tatiana Grigoreva, Zuzana Jašková, Hana Synáčková, Dennis Wahl, Michaela Bilčíková, Libor Červinek, Šárka Pospíšilová, Ilgar Mamedov, Karla Plevová   +14 more
wiley   +1 more source

Dedication: Michael P. McNulty [PDF]

, 2016
Roger Williams University Law Review Staff
core   +1 more source

Effects of non-pharmacological interventions on nutrition and immune status of nasopharyngeal carcinoma patients during chemoradiotherapy: a systematic review and meta-analysis protocol. [PDF]

BMJ Open
Xia L, Hayashi N, Ota E, Qi L, Yan B.
europepmc   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

Implementing relational continuity in general practice-understanding who needs it, when, to what extent, how and why: a realist review protocol. [PDF]

BMJ Open
Tzortziou Brown V, Park S, Mahtani KR, Taylor S, Owen-Boukra EC, Taylor J, Richards O, Begum S, Wong G.   +8 more
europepmc   +1 more source

The tumor–microbe connection

Molecular Oncology, EarlyView.
Tumor‐associated bacteria (TAB) dynamically influence cancer biology by modulating tumor progression, metastatic spread, and therapeutic efficacy. Their presence redefines the tumor microenvironment (TME) as a microbial–host interface, yet mechanistic insights remain limited. Understanding TAB colonization routes, functional impacts, and crosstalk with
Gerlanda Vella, Maria Rescigno
wiley   +1 more source

Re: Uniportal versus Biportal Endoscopic Decompression for the Treatment of Lumbar Spinal Stenosis: A Systematic Review and Updated Meta-Analysis. [PDF]

Global Spine J
Abudayeh AH, Fishchenko IV.
europepmc   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

Molecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin, Kjersti Tjensvoll, Karin Hestnes Edland, Satu Oltedal, Herish Garresori, Bjørnar Gilje, Saga Ekedal, Trygve Eftestøl, Jan Terje Kvaløy, Filip Janku, Oddmund Nordgård   +10 more
wiley   +1 more source