Results 281 to 290 of about 2,264,527 (364)

Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis. [PDF]

BMC Cancer
Ahmad S, Zafar I, Shafiq S, Sehar L, Khalil H, Matloob N, Hina M, Muntaha ST, Khan H, Khan NU, Rana S, Unar A, Azmat M, Shafiq M, Jardan YAB, Dauelbait M, Bourhia M.   +16 more
europepmc   +1 more source

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

Molecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul, François Guillonneau, Odile Blanchet, Hamza Lasla, Audrey Rousseau, Catherine Guette, Alice Boissard, Cécile Henry, Morgan Dhondt, Pascal Jézéquel, Philippe Menei, Jean‐Michel Lemée   +11 more
wiley   +1 more source

Content-Based Histopathological Image Retrieval. [PDF]

Sensors (Basel)
Nuñez-Fernández C, Farias H, Solar M.
europepmc   +1 more source

Evaluation and modification of tumor cell isolation techniques from malignant effusions for rapid drug sensitivity testing

Molecular Oncology, EarlyView.
Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef, Hana Barhom, Sumit Chatterji, Netta Hecht, Oran Warhaftig, Iris Kamer, Oranit Zadok, Jair Bar, Limor Broday, Amir Onn, Michael Peled   +10 more
wiley   +1 more source

Research on the optimization model of anti-breast cancer candidate drugs based on machine learning. [PDF]

Front Genet
Dong Z, Chen H, Yang Y, Hao H.
europepmc   +1 more source

Cytomegalovirus infection is common in prostate cancer and antiviral therapies inhibit progression in disease models

Molecular Oncology, EarlyView.
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon, Moa Stenudd, Margherita Zamboni, Kanar Alkass, Carl‐Johan Eriksson, Lars Pedersen, Alrik Schörling, Anna Thoss, Anders Bergh, Pernilla Wikström, Hans‐Olov Adami, Henrik Toft Sørensen, Henrik Druid, Jonas Frisén   +13 more
wiley   +1 more source

Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm. [PDF]

Sensors (Basel)
Teng H, Wang Y, Li W, Chen T, Liu Q.
europepmc   +1 more source

Integrative miRNOMe profiling reveals the miR‐195‐5p–CHEK1 axis and its impact on luminal breast cancer outcomes

Molecular Oncology, EarlyView.
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková, Marie Ehrlichová, Alžběta Spálenková, Ivona Krus, Simona Šůsová, Viktor Hlaváč, Vlasta Němcová, Renata Koževnikovová, Markéta Trnková, David Vrána, Jiří Gatěk, Kateřina Kopečková, Marcela Mrhalová, Soňa Měšťáková, Pavel Souček   +14 more
wiley   +1 more source

Risk assessment of industrial chemicals towards salmon species amalgamating QSAR, q-RASAR, and ARKA framework. [PDF]

Toxicol Rep
Bhattacharyya P, Das S, Ojha PK.
europepmc   +1 more source

Enhancing SLAM algorithm with Top-K optimization and semantic descriptors. [PDF]

Sci Rep
Jiang Y, Wu Y, Zhao B.
europepmc   +1 more source