Shixuan Li

ORCID: 0000-0003-3532-8789
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Research Areas
  • Cancer-related molecular mechanisms research
  • Cancer Genomics and Diagnostics
  • Ecology and Vegetation Dynamics Studies
  • Plant Ecology and Soil Science
  • Ferroptosis and cancer prognosis
  • RNA modifications and cancer
  • Circular RNAs in diseases
  • Species Distribution and Climate Change
  • Wildlife Ecology and Conservation
  • Forest, Soil, and Plant Ecology in China

East China Normal University
2025

Jinan University
2020

Climate change is compelling species to seek refuge at higher elevations and latitudes. While researchers commonly study these migrations using discontinuous elevational transects, this methodology may introduce significant biases into our understanding of movement. These potential could lead flawed biodiversity conservation policies if left unexamined. To address concern, we utilized distribution data from a novel continuous transect evaluate the accuracy methods. Our analysis focused on...

10.3390/plants14020283 article EN cc-by Plants 2025-01-20

To evaluate the prognostic significance of Naples Prognostic Score (NPS) in patients with locally advanced non-small cell lung cancer (NSCLC) after neoadjuvant chemotherapy and surgery. A retrospective review was done 126 NSCLC who were surgically treated Affiliated Hospital Weifang Medical University. from September 2012 to April 2019. According neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte (LMR), albumin, total cholesterol before chemotherapy, NPS divided into separate...

10.3389/fimmu.2025.1578896 article EN cc-by Frontiers in Immunology 2025-05-22

LINC00355 has been reported aberrantly over-expressed and associated with poor prognosis in various types of cancer. However, reports regarding the effect on lung squamous cell carcinoma (SCC) are rare. This study aimed to explore function development progression SCC reveal underlying mechanism. The expression subcellular location were determined by qRT-PCR RNA-FISH, respectively. growth was analyzed CCK-8 assay, transwell invasion, wound healing, colony formation, flow cytometry assays....

10.1590/1414-431x20209317 article EN cc-by Brazilian Journal of Medical and Biological Research 2020-01-01

Abstract Background Integrating phenotypic and genotypic information to improve prognostic prediction is under active investigation for lung adenocarcinoma (LUAD). In this study, we developed a new model event-free survival (EFS) recurrence-free (RFS) based on the combination of clinicopathologic variables, gene expression, mutation data. Methods We enrolled total 408 patients from Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) project study. pre-selected expression or features...

10.1186/s12957-020-02025-0 article EN cc-by World Journal of Surgical Oncology 2020-09-19
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