Results 201 to 210 of about 19,155,994 (294)

CohortSymmetry: An R package to perform sequence symmetry analysis using the OMOP common data model

Chen X, Stanford T, Guo Y, Raventós B, Du M, Li X, Lam A, Corby G, Mercadé-Besora N, Alcalde-Herraiz M, López-Güell K, Delmestri A, Man WY, Prieto-Alhambra D, Burn E, Català M, Pratt N, Jödicke A, Newby D.   +18 more
europepmc   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets. [PDF]

Sci Data
Graefe ASL, Hübner MR, Rehburg F, Sander S, Klopfenstein SAI, Alkarkoukly S, Grönke A, Weyersberg A, Danis D, Zschüntzsch J, Nyoungui EF, Wiegand S, Kühnen P, Robinson PN, Beyan O, Thun S.   +15 more
europepmc   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience. [PDF]

JCO Clin Cancer Inform
McDowell BD, O'Rorke MA, Schroeder MC, Chrischilles EA, Spinka CM, Waitman LR, Anuforo K, Araya A, Bah H, Barlocker J, Chandaka S, Cowell LG, Geary CR, Gupta S, Horne BD, Knosp BM, Lai AM, Mandhadi V, Mohammad Mosa AS, Reeder P, Ryu G, Shukwit B, Smith C, Stoddard AJ, Syed M, Syed S, Taylor BW, VanWormer JJ.   +27 more
europepmc   +1 more source

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

Molecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov, Shiva Krishna Katkam, Zhefan Wang, Venkateshwar G. Keshamouni   +3 more
wiley   +1 more source

Investigating persistent measles dynamics associated with population immunity in Chad: a national secondary data model analysis from 2011 to 2025. [PDF]

IJID Reg
Paluku GK, Masresha BG, Mbaïlamen AD, Mbaihol T, El-Hafiz DM, Vincent T, Tamuzi JL, Katoto PD, Wiysonge CS, Anya BM.   +9 more
europepmc   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source

Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.

JMIR Med Inform
Tou S, Matsumoto K, Hashinokuchi A, Kinoshita F, Nohara Y, Yamashita T, Wakata Y, Takenaka T, Soejima H, Yoshizumi T, Nakashima N, Kamouchi M.   +11 more
europepmc   +1 more source

Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model. [PDF]

Sensors (Basel)
Klir S, Lerch J, Benkner S, Khanh TQ.
europepmc   +1 more source