Results 91 to 100 of about 277,677 (243)
International Journal of General Medicine, 2022 Background Tumor immune cell infiltration is closely associated with the occurrence and development of tumors. Collagen triple helix repeats containing 1 (CTHRC1), a regulator of collagen expression and cell migration, is involved in the metastasis and ...
Zejun Wang +8 more
semanticscholar +1 more source
Epigenetics, 2022 Leukocyte cell proportion changes affect the detection of cancer-associated aberrant DNA methylation alterations in peripheral blood samples. We aimed to detect cellular DNA methylation changes in ovarian cancer (OVC) blood samples avoiding the above ...
Hongdong Li +7 more
doaj +1 more source
Integrative Pan-Cancer Analysis of RNMT: a Potential Prognostic and Immunological Biomarker [PDF]
arXiv, 2022 Background: RNA guanine-7 methyltransferase (RNMT) is one of the main regulators of N7-methylguanosine, and the deregulation of RNMT correlated with tumor development and immune metabolism. However, the specific function of RNMT in pan-cancer remains unclear.
arxiv
A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer
Advanced Science, EarlyView.The hierarchical organization of the eukaryotic genome is vital for nuclear function, and disruptions from genetic mutations can alter this 3D architecture. Cataloging thousands of interchromosomal translocations, structural variants, and single nucleotide polymorphisms, their impact on 3D genome organization is revealed. The scoring algorithm, 3DFunc,
Li Tang +6 more
wiley +1 more source
Whole-exome mutational landscape of neuroendocrine carcinomas of the gallbladder
Signal Transduction and Targeted Therapy, 2021 Neuroendocrine carcinoma (NEC) of the gallbladder (GB-NEC) is a rare but extremely malignant subtype of gallbladder cancer (GBC). The genetic and molecular signatures of GB-NEC are poorly understood; thus, molecular targeting is currently unavailable. In
Fatao Liu +16 more
doaj +1 more source
Pre-screening breast cancer with machine learning and deep learning [PDF]
arXiv, 2023 We suggest that deep learning can be used for pre-screening cancer by analyzing demographic and anthropometric information of patients, as well as biological markers obtained from routine blood samples and relative risks obtained from meta-analysis and international databases.
arxiv
Advanced Science, EarlyView.This study presents a novel polyphenol‐nanozyme‐armored probiotic system (ECA@EcN) for enhanced treatment of inflammatory bowel disease (IBD). By integrating chitosan‐modified epigallocatechin gallate (EGCG‐CS) with gold nanozymes, the system effectively scavenges ROS, improves probiotic viability, and restores gut microbiota balance.
Yong Zhu +12 more
wiley +1 more source
Challenges in identifying cancer genes by analysis of exome sequencing data. [PDF]
, 2016 Massively parallel sequencing has permitted an unprecedented examination of the cancer exome, leading to predictions that all genes important to cancer will soon be identified by genetic analysis of tumours.
Bandyopadhyay, Sourav +6 more
core +1 more source
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Advanced Science, EarlyView.Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai +5 more
wiley +1 more source
Comprehensive genomic characterization of cutaneous malignant melanoma cell lines derived from metastatic lesions by whole-exome sequencing and SNP array profiling. [PDF]
PLoS ONE, 2013 Cutaneous malignant melanoma is the most fatal skin cancer and although improved comprehension of its pathogenic pathways allowed to realize some effective molecular targeted therapies, novel targets and drugs are still needed.
Ingrid Cifola +7 more
doaj +1 more source