Drug resistance biomarkers in ovarian cancer: a bibliometric study from 2017 to 2022
- Sindy Cabarca 1,2, Carmen Ili 1, Carlos Vanegas 2, Laura Gil 2,3, Melba Vertel-Morrinson 2,4, Priscilla Brebi 1
- Sindy Cabarca 1,2, Carmen Ili 1, Carlos Vanegas 2
- 1Millennium 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.
- 2Grupo de Investigación Estadística y Modelamiento Matemático Aplicado (GEMMA), Departamento de Matemáticas, Facultad de Educación y Ciencias, Universidad de Sucre, Sincelejo, Colombia.
- 3Semillero de Investigación (SIMICRO), Departamento de Biología, Facultad de Ciencias Naturales, exactas y de la educación, Universidad del Cauca, Popayán, Colombia.
- 4Doctorado en Ciencia y Tecnología de Alimentos - Universidad de Córdoba, Montería, Colombia.
- 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.
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