Results 201 to 210 of about 6,612,455 (253)

A Cost-per-Responder Analysis of Ritlecitinib vs Baricitinib in Severe Alopecia Areata. [PDF]

J Health Econ Outcomes Res
Cha-Silva AS, Zhang KH, Graham CN, Kurosky SK, Tran H, Law EH, Song EJ.   +6 more
europepmc   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

Novel uveal melanoma patient-derived cell line and organoid models show increased treatment resistance compared with commercially available cell lines. [PDF]

Melanoma Res
Dalvin LA, Burr SD, Miley DR, Ong H, Armitage JA.   +4 more
europepmc   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

From Ebola to Hantavirus: Spain's Preparedness for High-Consequence Infectious Diseases. [PDF]

Lancet Reg Health Eur
Diago-Navarro E, García-Vaz C, Fanjul G, Naniche D, Almuedo-Riera A, Bassat Q.   +5 more
europepmc   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Safety and Efficacy of a Sandwich Total Neoadjuvant Therapy Strategy for Low-Risk Distal Locally Advanced Rectal Cancer: Results From the TESS Phase II Trial. [PDF]

MedComm (2020)
Liu S, Lv G, Xu G, Wang X, Zhuang Y, Bai S, Yu H, Wu X, Ye Y, Luo H, Xu S, Wang Q, Chang H, Cai P, Pan Z, Gao Y, Chen G, Xiao W.   +17 more
europepmc   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Transfer learning for T-cell response prediction. [PDF]

BMC Bioinformatics
Stadelmaier J, Malone B, Eggeling R.
europepmc   +1 more source