Results 151 to 160 of about 1,906,656 (324)

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +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

MADGAN:A microbe-disease association prediction model based on generative adversarial networks

, 2023
Weixin Hu, Xiaoyu Yang, Lei Wang, Xianyou Zhu   +3 more
openalex   +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

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

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

Life’s Crucial 9 and NAFLD from association to SHAP-interpreted machine learning predictions [PDF]

Jianxin Xi, Yuguo Chen, Jie Chen, James Law, Zhongqi Fan, Guoyue Lv   +5 more
openalex   +1 more source

A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer

Molecular Oncology, EarlyView.
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla, Jana R. Crespo, Saioa Garcia‐Longarte, Marta Fidalgo, Sara del Palacio, Natalia Martin‐Martin, Onintza Carlevaris, Ianire Astobiza, Sonia Fernández‐Ruiz, Marc Guiu, Laura Bárcena, Isabel Mendizabal, Ana M. Aransay, Mariona Graupera, Roger R. Gomis, Arkaitz Carracedo   +15 more
wiley   +1 more source

Toward predictive R-loop computational biology: genome-scale prediction of R-loops reveals their association with complex promoter structures, G-quadruplexes and transcriptionally active enhancers [PDF]

, 2018
Vladimir A. Kuznetsov, Vladyslav Bondarenko, Thidathip Wongsurawat, Surya Pavan Yenamandra, Piroon Jenjaroenpun   +4 more
openalex   +1 more source

Prediction of circRNA‐miRNA Associations Based on Network Embedding [PDF]

, 2021
Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Ye Jin, Jin Liu, Wei Peng, Shirui Pan   +7 more
openalex   +1 more source