Results 161 to 170 of about 678,951 (271)

Guideline-concordance along the cancer care continuum and breast cancer mortality by race and ethnicity: a SEER-Medicare study. [PDF]

Cancer Causes Control
Herbach EL, Carnahan RM, McCullough LE, McDowell BD, Curran M, Wang K, Lizarraga IM, Charlton ME, Nash SH.   +8 more
europepmc   +1 more source

Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen Exposure

Advanced Science, EarlyView.
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian‐Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao‐Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y. Liu, Beibei Huang, Frank R. Rojas, Parra Cuentas. Edwin Roger, Ou Shi, Monique B. Nilsson, Alissa Poteete, Khaja B. Khan, Wei Lu, Luisa M. Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I. Wistuba, Zhubo Wei, Linghua Wang, Don L. Gibbons, Ken Chen, Alexandre Reuben, Jason M. Schenkel, John V. Heymach, Chao Cheng, Jia Wu, Jianjun Zhang   +34 more
wiley   +1 more source

Concordance Analysis of ALEX-2, ImmunoCAP, and Prick Test for Respiratory Allergies in Lima, Peru. [PDF]

Immun Inflamm Dis
Galván CA, Durán R, Larco JI, Gomez de la Torre JC.   +3 more
europepmc   +1 more source

TRIM38 Suppresses Breast Cancer Progression via Modulating SQSTM1 Ubiquitination and Autophagic Flux

Advanced Science, EarlyView.
TRIM38, an E3 ubiquitin ligase, suppresses breast cancer progression by inhibiting proliferation, migration, and invasion. Downregulated in breast tumor, its loss correlates with poor prognosis. Mechanistically, TRIM38 mediates K63‐linked ubiquitination of SQSTM1/p62 at K420, disrupting SQSTM1‐LC3 interaction and blocking autophagic flux.
Shan Jiang, Lijuan Wang, Dianwen Han, Peng Su, Bing Chen, Wenjing Zhao, Tong Chen, Ning Zhang, Xiaolong Wang, Yiran Liang, Yaming Li, Chen Li, Xi Chen, Dan Luo, Qifeng Yang   +14 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Solution to an open problem about a transformation on the space of copulas

Dependence Modeling, 2014
Durante Fabrizio, Fernández-Sánchez Juan, Trutschnig Wolfgang   +2 more
doaj   +1 more source

Language concordance in the digital collection of patient-reported outcome measures. [PDF]

JAMIA Open
Liu JB, Dacier BM, Dragonetti BM, Meyers PM, Sisodia RC, Park LH, Pusic AL, Ortega G.   +7 more
europepmc   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

Pretreatment circulating tumor DNA and tissue genomic profiling concordance in ovarian cancer: a prospective observational study of influencing factors and clinical implications. [PDF]

Ther Adv Med Oncol
Su H, Fan R, Tian M, Li Y, Wang Y, Wang T, Wang S, Wan X, Feng F.   +8 more
europepmc   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source