Results 181 to 190 of about 35,302 (251)

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago   +3 more
wiley   +1 more source

Validating COI eDNA Metabarcoding Primers for Detection of Subterranean Fauna. [PDF]

open access: yesMol Ecol Resour
van der Heyde M   +6 more
europepmc   +1 more source

MUC1 as a Survival Effector of Radiotherapy‐Induced Epithelial Hybrid States in Basal‐Like Breast Cancer

open access: yesInternational Journal of Cancer, EarlyView.
Basal‐like breast cancer (BLBC) is aggressive and often exhibits inherent or acquired resistance to radiotherapy (RT), a primary treatment option. RT resistance is underpinned by molecular alterations, many of which are poorly understood. Here, RT‐induced transcriptomic changes were analyzed using bulk and spatial sequencing in a BLBC mouse model and ...
Garyfallia Pantelaiou‐Prokaki   +12 more
wiley   +1 more source

Transcriptome‐Based Classification of Resected Pancreatic Ductal Adenocarcinoma Enhances Prognostic Modelling Accuracy of Overall Survival Following Adjuvant Treatment

open access: yesInternational Journal of Cancer, EarlyView.
Outcomes after resection of pancreatic ductal adenocarcinoma remain highly variable, and existing prognostic models lack sufficient accuracy. Here, the authors aimed to improve survival prediction by integrating transcriptome‐based subtyping into a validated clinical model and applying it to a multicenter real‐world cohort of fresh‐frozen resection ...
Marjolein F. Lansbergen   +20 more
wiley   +1 more source

Arbuscular mycorrhizal fungal community abundance, functions, and symbiotic interactions revealed by root metatranscriptomes

open access: yesiMetaOmics, EarlyView.
Paradigm shift: PCR‐free methods reveal 6–15‐fold higher arbuscular mycorrhizal (AM) fungal abundance than metabarcoding, exposing systematic underestimation across decades of research. Predictive power: AM fungal abundance serves as a community‐level trait that predicts crop yield under drought conditions.
Peilin Chen, John W. Taylor, Cheng Gao
wiley   +1 more source

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