Results 211 to 220 of about 1,386,700 (294)

Learning needs and experiences of hospital nurses in genetic medicine in a rural area of Japan: A cross-sectional questionnaire survey in Oita prefecture. [PDF]

Prev Med Rep
Tsukatani N, Shimada Y, Inoue M, Hatanaka A, Tominaga S, Ihara K.   +5 more
europepmc   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Genetic variants associated with ventricular arrhythmias during ajmaline test in Brugada syndrome. [PDF]

Europace
Audiat C, Pannone L, Sorgente A, Vergara P, Della Rocca DG, Eltsov I, Pappaert G, Overeinder I, Bala G, Almorad A, Ströker E, La Meir M, Gharaviri A, De Schutter E, Vlaeminck J, Helsen C, Uyttebroeck S, Van Dooren S, Pölsler L, Giron P, Brugada P, Sarkozy A, Chierchia GB, Sieira J, de Asmundis C.   +24 more
europepmc   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Echoes of eugenics: confronting its effects in indigenous genomics. [PDF]

Genetics
Sherman CA, Nataneli S, Claw KG, Mooney JA.   +3 more
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

First Report of Co-Occurring FGF14 (SCA27B) and RFC1 (CANVAS) Repeat Expansions in Two of Three Siblings with Late-Onset Cerebellar Ataxia. [PDF]

Cerebellum
Tsokkos T, Christodoulou K, Votsi C, Georghiou A, Christofides A, Constantinou A, Zamba-Papanicolaou E.   +6 more
europepmc   +1 more source

Genetic Library [PDF]

Journal of Genetic Counseling, 2001
openaire   +5 more sources

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +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