Drug resistance biomarkers in ovarian cancer: a bibliometric study from 2017 to 2022

  • 0Millennium Institute on Immunology and Immunotherapy. Laboratory of Integrative Biology (LIBi), Centro de Excelencia en Medicina Traslacional (CEMT), Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco, Chile.

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Summary

This summary is machine-generated.

This bibliometric analysis identifies key research trends and potential biomarkers for drug resistance in ovarian cancer. It highlights leading institutions and journals, proposing BCL-2, CHRF, and SNAIL as promising indicators for improved patient outcomes.

Area Of Science

  • Oncology
  • Biomedical Research
  • Bibliometrics

Background

  • Ovarian cancer has a high mortality rate, largely due to late diagnosis and chemoresistance.
  • Identifying reliable biomarkers for chemoresistance is crucial for improving patient outcomes.
  • This study focuses on the scientific literature concerning drug resistance biomarkers in ovarian cancer from 2017-2022.

Purpose Of The Study

  • To conduct a bibliometric analysis of research on drug resistance biomarkers in ovarian cancer.
  • To identify leading contributors, institutions, and journals in this field.
  • To uncover emerging research trends and potential novel biomarkers for chemoresistance.

Main Methods

  • A systematic search was performed using "drug resistance biomarker" AND "ovarian cancer" in PubMed.
  • Literature published in English between 2017 and 2022 was analyzed.
  • The Bibliometrix tool in R was used for bibliometric analysis, including various publication types.

Main Results

  • 335 articles were analyzed, with the United States and China as top contributors.
  • Huazhong University of Science and Technology and UT MD Anderson Cancer Center were leading institutions.
  • Key research themes included gene expression, prognosis, and specific biomarkers like BCL-2, CHRF, SNAIL, miR-363, iASPP, ALDH1, Fzd7, and EZH2.

Conclusions

  • This bibliometric analysis provides a comprehensive overview of ovarian cancer drug resistance research.
  • It facilitates the identification of collaborative networks and future research directions.
  • Proposed biomarkers warrant further investigation for clinical application in ovarian cancer therapy.