Jing Li

ORCID: 0009-0006-0185-7710
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About
Contact & Profiles
Research Areas
  • Eosinophilic Esophagitis
  • IL-33, ST2, and ILC Pathways
  • RNA modifications and cancer
  • Lung Cancer Treatments and Mutations
  • Cancer-related molecular mechanisms research
  • Esophageal Cancer Research and Treatment
  • Circular RNAs in diseases
  • Cytokine Signaling Pathways and Interactions

Zhengzhou University
2023-2024

<p>Supplementary Figure S2 shows the ROC curve analysis of anti-FDX1 autoantibody in different clinical subgroups NSCLC versus NC.</p>

10.1158/1055-9965.28523194 preprint EN cc-by 2025-03-03

<p>Supplementary Figure S4 shows the mRNA expression level of FDX1 in LUAD and LUSC patients based on GEPIA database.</p>

10.1158/1055-9965.28523188 preprint EN cc-by 2025-03-03

<p>Supplementary Figure S1 shows the protein expression level of FDX1 in A549 and PC-9 cells by western blotting analysis.</p>

10.1158/1055-9965.28523200 preprint EN cc-by 2025-03-03

<div>AbstractBackground:<p>Autoantibodies can be readily identified prior to biopsy and may serve as valuable biomarkers for cancer detection. Ferredoxin 1 (FDX1) is a key regulator in the process of cuproptosis affects prognosis lung cancer. In this study, we investigated whether anti-FDX1 autoantibody could novel biomarker detection non–small cell (NSCLC).</p>Methods:<p>A total 1,155 plasma samples were divided into verification validation groups. The expression...

10.1158/1055-9965.c.7700614 preprint EN 2025-03-03

<p>Supplementary Figure S3 shows the ROC curve analysis of anti-FDX1 autoantibody in different clinical subgroups NSCLC versus BPN</p>

10.1158/1055-9965.28523191 preprint EN cc-by 2025-03-03

Autoantibodies can be readily identified prior to biopsy and may serve as valuable biomarkers for cancer detection. Ferredoxin 1 (FDX1) is a key regulator in the process of cuproptosis affects prognosis lung cancer. In this study, we investigated whether anti-FDX1 autoantibody could novel biomarker detection non-small cell (NSCLC).

10.1158/1055-9965.epi-24-1096 article EN Cancer Epidemiology Biomarkers & Prevention 2024-12-19
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