A bibliometric analysis of post-translational modifications in esophageal cancer based on the Web of Science Core

Fan Gao1, Xiaokang Gong1

  • 1Department of Thoracic Surgery, The Second Affiliated Hospital of The Air Force Medical University, Xi'an, China.

Abstract

Insights

This bibliometric analysis maps esophageal cancer (EC) post-translational modification (PTM) research, revealing methylation and phosphorylation as key areas. It identifies 11 novel prognostic genes for EC, paving the way for targeted therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Esophageal cancer (EC) is a lethal malignancy with limited treatment options.
  • Post-translational modifications (PTMs) are crucial in EC development, progression, and treatment resistance.
  • Existing EC PTM research is fragmented, lacking a systematic overview and identification of knowledge gaps.

Purpose of the Study:

  • To quantitatively map the global research landscape of EC PTMs over 26 years (2000-2026).
  • To analyze publication trends, geographic distribution, research hotspots, and under-researched areas in EC PTM.
  • To identify potential prognostic candidate genes for future EC research.

Main Methods:

  • Bibliometric analysis of 1,963 EC PTM articles from Web of Science Core Collection (2000-2026).
  • Data analysis using R/Bibliometrix and VOSviewer.
  • Cross-referencing PTMs and genes with PTMD and TCGA-ESCA databases to identify novel candidates.

Main Results:

  • Research followed three phases: nascent growth (2000-2011), expansion (2012-2019), and maturation (2020-2026).
  • China led publications (69.7%). Methylation and phosphorylation were dominant PTMs, while glycosylation and sulfation were underrepresented.
  • STAT3 was the most studied gene; 11 unstudied PTM-related genes showed differential expression and prognostic significance.

Conclusions:

  • This study provides a quantitative overview of EC PTM research, highlighting advances in methylation-based liquid biopsies and STAT3 inhibitors.
  • Knowledge gaps persist regarding multi-PTM crosstalk and under-explored modifications.
  • The 11 identified candidate genes offer a preclinical research pipeline; diversified research and international collaboration are crucial for clinical impact.

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