Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 41 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Construction of a five-gene prognostic model involving T cell exhaustion and metabolic reprogramming for predicting hepatocellular carcinoma risk using LASSO: insights into immune infiltration and drug sensitivity

  • Shaogang Wang
  • Ying Chen
  • Yu Mao
  • Zhijian Chen
  • Xueqin Zhang
  • Tao Zhang
Open at sourcePDFDOICite

Related

  1. Chronic Microcystin-LR Exposure Induces Colorectal Inflammation Associated with Macrophage Infiltration and HIF-1α-Related Glycolytic Reprogramming
    Yan Tang, Xiaodie Zhou, Langyi Li +2
    ToxicsPeer-reviewedCC BYFull textPharmacology & toxicologyEurope PMC
  2. A kbhb-associated prognostic signature identifies TTLL12 as a promoter of lung adenocarcinoma progression associated with M2 macrophage infiltration.
    Sixuan Wu, Yi Xun, Yiling Jiang +1
    Biology directPeer-reviewedCC BY-NC-NDFull textOncologyEurope PMCPMC
  3. Preoperative Zinc Deficiency as a Novel Prognostic Predictor for Postoperative Recurrence in Hepatocellular Carcinoma
    NutrientsPeer-reviewedCC BYFull textNutritionEurope PMC
  4. Palmatine Induces TNNT1 Ubiquitination and Degradation to Potentiate Ferroptosis Sensitivity in Hepatocellular Carcinoma
    Xiaokang Wang, Fanci Xie, Chunhua Wang +4
    Journal of Clinical and Translational HepatologyPeer-reviewedCC BY-NCFull textGeneral medicineEurope PMC
  5. Culture Dimensionality Shapes Drug Sensitivity to Kinase Inhibitor Combinations with Epigenetic or Metabolic Inhibition in a Hepatocellular Carcinoma Model
    Claudia Kunst, Tobias Schilling, Cedric Arling +4
    BiomedicinesPeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{wang2026construction,
  title = {{Construction of a five-gene prognostic model involving T cell exhaustion and metabolic reprogramming for predicting hepatocellular carcinoma risk using LASSO: insights into immune infiltration and drug sensitivity}},
  author = {Shaogang Wang and Ying Chen and Yu Mao and Zhijian Chen and Xueqin Zhang and Tao Zhang},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-68150-0},
  url = {https://www.nature.com/articles/s41598-026-68150-0},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Construction of a five-gene prognostic model involving T cell exhaustion and metabolic reprogramming for predicting hepatocellular carcinoma risk using LASSO: insights into immune infiltration and drug sensitivity
AU  - Shaogang Wang
AU  - Ying Chen
AU  - Yu Mao
AU  - Zhijian Chen
AU  - Xueqin Zhang
AU  - Tao Zhang
PY  - 2026
DA  - 2026/10/22
JO  - Scientific Reports
DO  - 10.1038/s41598-026-68150-0
UR  - https://www.nature.com/articles/s41598-026-68150-0
SN  - 2045-2322
ER  -