Year: 2025 | Month: November | Volume: 12 | Issue: 11 | Pages: 356-382
DOI: https://doi.org/10.52403/ijrr.20251139
Bibliometric Analysis of Research Trends of Genomic Testing in Breast Cancer
Gideon Setiawan1, Maman Abdurahman1, Yohana Azhar1, Monty Priosodewo Soemitro1, Kiki A. Rizky1
1Oncology Surgery Division, Faculty of Medicine, Padjadjaran University, Bandung, West Java, Indonesia
Corresponding Author: Gideon Setiawan
ABSTRACT
Introduction: Breast cancer is complex and heterogeneous because mutations can occur at the epigenome, transcriptome, or genome level. Therefore, breast cancer detection must cover the entire genome to identify mutated genes and study the hormonal and biochemical aspects of tumor cells through specific biomarkers so that the proper and effective therapy method can be determined to treat breast cancer.
Methods: This study is a literature review through metadata taken from Scopus and PubMed with the keywords "breast cancer," "diagnostic," and "genomic," obtained from as many as 35A0. The analysis was carried out in stages with the help of Biblioshiny from Rstudio software, then continued with VOSviewer.
Results: The study results showed a shift in the research theme on diagnostic and therapeutic methods for breast cancer, which is increasingly directed towards DNA genomic tests and deep neural networks. In addition, mapping with VOSviewer yielded a blue cluster associated with research on genetic mutations and genetic testing for breast cancer, a yellow cluster related to research on in situ hybridization techniques and neoadjuvant treatment, a red cluster associated with research on breast cancer subtypes and genomic analysis, and a green cluster related to research on breast cancer diagnosis and MammaPrint.
Keywords: Breast Cancer, Gene Mutation, Endocrine Treatment, Chemotherapy, Genomic Testing, MammaPrint
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