Xiaogang Shu

ORCID: 0000-0002-7188-5892
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About
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Research Areas
  • Cancer, Lipids, and Metabolism
  • Diet and metabolism studies
  • Cancer-related molecular mechanisms research
  • Radiomics and Machine Learning in Medical Imaging
  • Colorectal Cancer Screening and Detection
  • Metabolomics and Mass Spectrometry Studies
  • Air Quality Monitoring and Forecasting
  • Cancer, Hypoxia, and Metabolism
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Climate Change and Health Impacts
  • Air Quality and Health Impacts

Union Hospital
2025

Huazhong University of Science and Technology
2023-2025

Union Hospital
2023

There is growing evidence that sleep deprivation promotes cancer progression. In addition, colon patients often experience due to factors such as pain and side effects of treatment. The occurrence liver metastases an important factor in the mortality patients. However, relationship between from has not been elucidated. A metastasis model was constructed evaluate effect on cancer. Subsequently, mice feces were collected for untargeted metabolomics screen identify key mediator, Kynurenic acid...

10.1016/j.molmet.2025.102109 article EN cc-by Molecular Metabolism 2025-02-06

Accurately predicting survival in patients with early hepatocellular carcinoma (HCC) is essential for making informed decisions about treatment and prognosis. Herein, we have developed a machine learning (ML) model that can predict patient guide decisions. We obtained demographic information, tumor characteristics, details from the SEER database. To analyze data, employed Cox proportional hazards (CoxPH) as well 3 ML algorithms: neural network multitask logistic regression (N-MLTR),...

10.1097/md.0000000000035892 article EN cc-by-nc Medicine 2023-11-10

We screened key angiogenesis-related lncRNAs based on colon adenocarcinoma (COAD) to construct a RiskScore model for predicting COAD prognosis and help reveal the pathogenesis of as well optimize clinical treatment.

10.2174/0109298673277243231108071620 article EN Current Medicinal Chemistry 2023-11-14
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