Unlocking the future of breast cancer biomarkers: A bibliometric perspective

Abstract Background Breast cancer remains one of the most prevalent malignancies affecting women worldwide. Biomarkers play a pivotal role in enhancing diagnostic, prognostic, and therapeutic strategies for personalized patient management. This study conducts a bibliometric analysis of breast cancer biomarker research from 1981 to 2025 to identify key research trends, thematic clusters, and emerging areas. Methods A total of 752 publications were retrieved from the Web of Science Core Collection using keywords related to breast cancer and biomarker types, including molecular, protein, serum, and genetic markers. Bibliometric tools such as R programming and Biblioshiny were employed to analyze publication trends, keyword co-occurrences, and thematic clusters. Results The study identified a 3.2% annual growth rate in publications, with China, the USA, and India as the leading contributors. Research articles constituted 86.9% of the publications. Thematic analysis highlighted “proteomics” and “angiogenesis” as emerging research areas, while extensively studied topics included “EGFR” and “cholesterol.” The most central cluster encompassed “breast cancer, biomarkers, and metastasis,” while motor themes included “prognosis, diagnosis, and colorectal cancer.” Niche topics, such as “lncRNA and tumor,” represented isolated but developed research areas. Conclusions Key challenges included a lack of standardized validation protocols and slow clinical integration of biomarkers. The evolving landscape of breast cancer biomarker research underscores the need for multi-omics approaches and AI-driven analytics to accelerate biomarker discovery and clinical translation. Addressing challenges in validation and adoption will be crucial for improving patient outcomes.

Authors

Institutions

Publication Details

Journal
Revista română de medicină de laborator
Published
2025-10-01
DOI
https://doi.org/10.2478/rrlm-2025-0025
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unlocking the future of breast cancer biomarkers: A bibliometric perspective

Gamze Demirel
Revista română de medicină de laborator
Cancer, Lipids, and Metabolism
article

Unlocking the future of breast cancer biomarkers: A bibliometric perspective

Gamze Demirel
article en

Abstract

Abstract Background Breast cancer remains one of the most prevalent malignancies affecting women worldwide. Biomarkers play a pivotal role in enhancing diagnostic, prognostic, and therapeutic strategies for personalized patient management. This study conducts a bibliometric analysis of breast cancer biomarker research from 1981 to 2025 to identify key research trends, thematic clusters, and emerging areas. Methods A total of 752 publications were retrieved from the Web of Science Core Collection using keywords related to breast cancer and biomarker types, including molecular, protein, serum, and genetic markers. Bibliometric tools such as R programming and Biblioshiny were employed to analyze publication trends, keyword co-occurrences, and thematic clusters. Results The study identified a 3.2% annual growth rate in publications, with China, the USA, and India as the leading contributors. Research articles constituted 86.9% of the publications. Thematic analysis highlighted “proteomics” and “angiogenesis” as emerging research areas, while extensively studied topics included “EGFR” and “cholesterol.” The most central cluster encompassed “breast cancer, biomarkers, and metastasis,” while motor themes included “prognosis, diagnosis, and colorectal cancer.” Niche topics, such as “lncRNA and tumor,” represented isolated but developed research areas. Conclusions Key challenges included a lack of standardized validation protocols and slow clinical integration of biomarkers. The evolving landscape of breast cancer biomarker research underscores the need for multi-omics approaches and AI-driven analytics to accelerate biomarker discovery and clinical translation. Addressing challenges in validation and adoption will be crucial for improving patient outcomes.

Revista română de medicină de laboratorVol. 33(4)
Selçuk University (TR)
Openalex Percentile: Top 55%
Cancer, Lipids, and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.