Results 141 to 143 of about 39,735 (143)

Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring

iMetaOmics, EarlyView.
The PANDA pipeline for colorectal cancer (CRC) analysis integrates metabolomic data from LC‐MS with machine learning techniques to classify CRC stages and predict biomarkers. Initially, the raw metabolomic data is processed using partial least squares discriminant analysis (PLS‐DA) to reduce dimensionality and highlight key features.
Rui Xu, Hyein Jung, Fouad Choueiry, Shiqi Zhang, Rachel Pearlman, Heather Hampel, Ning Jin, Jieli Li, Jiangjiang Zhu   +8 more
wiley   +1 more source

EP300 Modulates MCM8 Transcription and Augments the Malignant Phenotype of Hepatitis B Virus–Positive Hepatocellular Carcinoma Cells

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Chronic infection with the hepatitis B virus (HBV) remains one of the primary drivers of the development of hepatocellular carcinoma (HCC), a highly aggressive malignancy with a grim prognosis. This study focused on the role of E1A‐binding protein p300 (EP300) in the malignant phenotype of HBV‐positive HCC cells and its functional mechanism ...
Fang Xue, Tian‐Feng Sun
wiley   +1 more source

Monotropein Induced Ferroptosis to Alleviate the Progression of Hepatocellular Carcinoma via Regulating Nrf2/HO‐1/GPX4 Axis

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Hepatocellular carcinoma (HCC) exhibits a high global morbidity rate and ranks as the fourth leading cause of cancer‐related mortality worldwide. In response to the urgent need for effective HCC treatments, naturally occurring, botanical‐driven compounds have gained increasing attention.
Bing Shi, Yan‐Ping Li, Zhuo Gan, Pan Chen   +3 more
wiley   +1 more source