Shuxin Li

ORCID: 0009-0003-1477-4162
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About
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Research Areas
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Lung Cancer Research Studies
  • Ferroptosis and cancer prognosis
  • Pancreatic and Hepatic Oncology Research
  • MicroRNA in disease regulation
  • Caveolin-1 and cellular processes
  • Artificial Intelligence in Games
  • Cancer, Lipids, and Metabolism
  • Fluoride Effects and Removal
  • Epigenetics and DNA Methylation
  • Cancer, Hypoxia, and Metabolism
  • Cancer Cells and Metastasis
  • Hepatitis C virus research
  • Selenium in Biological Systems
  • Cancer therapeutics and mechanisms
  • Neuropeptides and Animal Physiology
  • Human Motion and Animation
  • Vitamin D Research Studies

Shanghai Jiao Tong University
2024-2025

Shanghai Cancer Institute
2024-2025

Capital Medical University
2023-2024

Northeast Agricultural University
2024

Kunming Medical University
2015

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive malignancies, with a notoriously dismal prognosis. As competitive inhibitor DNA synthesis, gemcitabine cornerstone drug for treating PDAC at all stages. The therapeutic effect gemcitabine, however, often hindered by resistance, and underlying mechanisms remain largely unknown. It unclear whether their response to chemotherapeutics regulated endocrine regulators, despite association between risk deregulation. Here,...

10.1096/fj.202302287rr article EN The FASEB Journal 2024-05-28

Small cell lung cancer (SCLC) stands as one of the most lethal malignancies, characterized by a grim diagnosis and prognosis. The emergence multi-drug resistance poses significant hurdle to effective therapy. Although previous studies have implicated long noncoding RNA LYPLAL1-DT in tumorigenesis SCLC, precise role highly expressed SCLC chemoresistance underlying mechanism remain inadequately understood.

10.1186/s12943-024-02145-1 article EN cc-by-nc-nd Molecular Cancer 2024-10-31

Abstract Endocrine receptors play an essential role in tumor metabolic reprogramming and represent a promising therapeutic avenue pancreatic ductal adenocarcinoma (PDAC). PDAC is characterized by nutrient-deprived microenvironment. To meet their ascendant energy demands, cancer cells can internalize extracellular proteins via macropinocytosis. However, the roles of endocrine macropinocytosis are not clear. In this study, we found that progesterone receptor (PGR), steroid-responsive nuclear...

10.1038/s41389-024-00512-7 article EN cc-by Oncogenesis 2024-02-29

Fluoride is one of the essential trace elements for body. However, excessive fluoride poses a major threat to human and animal health. Fluorosis may cause pathological damage duodenum, but underlying mechanism needs be further studied. This study was investigate effects long-term exposure sodium (0, 500, 1,000, 2,000 mg/kg) on duodenum chickens. The results showed that after NaF exposure, intestinal epithelial cells were disarranged, necrotic or even exfoliated, goblet mucus secretion...

10.1016/j.psj.2024.104408 article EN cc-by-nc-nd Poultry Science 2024-10-10

Small cell lung cancer (SCLC) is one of the most malignant tumors that has an extremely poor prognosis. RNA-binding protein (RBP) and long noncoding RNA (lncRNA) have been shown to be key regulators during tumorigenesis as well tumor progression. However, role RBP ELAVL4 lncRNA LYPLAL1-DT in SCLC remains unclear. In this study, we verified acts oncogenic was confirmed vitro vivo. Mechanistically, negatively regulates expression miR-204-5p, leading upregulation PFN2, thus, promoting...

10.1096/fj.202300314rr article EN The FASEB Journal 2023-09-07

Nash equilibrium (NE) is a widely adopted solution concept in game theory due to its stability property. However, we observe that the NE strategy might not always yield best results, especially against opponents who do adhere strategies. Based on this observation, pose new game-solving question: Can learn model can exploit any, even NE, opponent maximize their own utility? In work, make first attempt investigate problem through in-context learning. Specifically, introduce novel method,...

10.48550/arxiv.2408.05575 preprint EN arXiv (Cornell University) 2024-08-10
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