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Peer-reviewedCC BY 4.0Hereditas

Identification and validation of RNA-binding protein-associated biomarkers in esophageal cancer

  • Jie Gao1
  • Rizhu Li2
  • Xiangsheng Wu2
  • Xueping Feng1
  1. 1School of Basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi 533000 PR China
  2. 2School of Clinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi 533000 PR China
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Abstract

Background: Esophageal cancer (ESCA) is highly prevalent globally, but the role of RNA-binding proteins (RBPs) in it remains unclear.

Methods: ESCA datasets were analyzed to identify differentially expressed genes (DEGs). Candidates were derived by intersecting DEGs with RBP-related genes and validated via machine learning, expression analysis, and receiver operating characteristic (ROC) curves. Prognostic value, functional enrichment, immune microenvironment, regulatory networks, drug prediction, and Eca-109 cell validation were assessed.

Results: Four biomarkers (CDC20, COL7A1, DNMT3B, UBE2T) were confirmed. Low UBE2T/DNMT3B correlated with better survival. In addition, CDC20/UBE2T were linked to DNA replication; COL7A1/DNMT3B to olfactory transduction. Immune analysis showed 15 cell types differed significantly, with most chemokines negatively correlating with biomarkers.

Conclusions: COL7A1, DNMT3B, and UBE2T were associated with transcription factor TET1. The four biomarkers corresponded to 79, 26, 67, and 23 targeted drugs, respectively, and all were highly expressed in Eca-109 cells, advancing insights into RBP-related mechanisms in ESCA.

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s41065-026-00726-2.

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Cite

BibTeXRIS
BibTeX
@article{gao2026identification,
  title = {{Identification and validation of RNA-binding protein-associated biomarkers in esophageal cancer}},
  author = {Jie Gao and Rizhu Li and Xiangsheng Wu and Xueping Feng},
  journal = {Hereditas},
  year = {2026},
  month = aug,
  doi = {10.1186/s41065-026-00726-2},
  url = {https://doi.org/10.1186/s41065-026-00726-2},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Identification and validation of RNA-binding protein-associated biomarkers in esophageal cancer
AU  - Jie Gao
AU  - Rizhu Li
AU  - Xiangsheng Wu
AU  - Xueping Feng
PY  - 2026
DA  - 2026/08/07
JO  - Hereditas
DO  - 10.1186/s41065-026-00726-2
UR  - https://doi.org/10.1186/s41065-026-00726-2
AB  - Background: Esophageal cancer (ESCA) is highly prevalent globally, but the role of RNA-binding proteins (RBPs) in it remains unclear.  Methods: ESCA datasets were analyzed to identify differentially expressed genes (DEGs). Candidates were derived by intersecting DEGs with RBP-related genes and validated via machine learning, expression analysis, and receiver operating characteristic (ROC) curves. Prognostic value, functional enrichment, immune microenvironment, regulatory networks, drug prediction, and Eca-109 cell validation were assessed.  Results: Four biomarkers (CDC20, COL7A1, DNMT3B, UBE2T) were confirmed. Low UBE2T/DNMT3B correlated with better survival. In addition, CDC20/UBE2T were linked to DNA replication; COL7A1/DNMT3B to olfactory transduction. Immune analysis showed 15 cell types differed significantly, with most chemokines negatively correlating with biomarkers.  Conclusions: COL7A1, DNMT3B, and UBE2T were associated with transcription factor TET1. The four biomarkers corresponded to 79, 26, 67, and 23 targeted drugs, respectively, and all were highly expressed in Eca-109 cells, advancing insights into RBP-related mechanisms in ESCA.  Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s41065-026-00726-2.
SN  - 0018-0661
SN  - 1601-5223
ER  -