ArticleAnnals of surgical oncology2025
Mapping Knowledge Landscapes and Themes Trends of Breast Cancer Stem Cells: A Comprehensive Data-Mining-Based Study.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Mapping thirty years of tumour-microenvironment-driven drug resistance in breast cancer: a global bibliometric analysis.Discover oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer, one of the most prevalent malignancies affecting women, poses significant treatment challenges due to the presence of breast cancer stem cells (BCSCs), which may contribute to treatment resistance, recurrence, and metastasis. Targeting BCSCs is increasingly seen as a promising therapeutic approach and a series of BCSC-related studies have been published recently. Nevertheless, no study has yet employed bibliometric analysis to examine the overall landscape of BCSC research. MATERIALS AND
methodsAll BCSC-related papers published between 1998 and 2023 were extracted from Web of Science Core Collection database. Bibliometric analysis was conducted by using VOSviewer, CiteSpace, and two online platforms.
resultsA sum of 1771 papers including 1502 research articles and 269 review papers were ultimately included. The annual number of papers related to BCSCs has increased with the year, and the average annual growth rate during 1998 and 2023 was 18.4%. China and the USA undoubtedly dominate on a global scale, accounting for more than three-fifths of all publications. The University of Michigan System has published the most papers in this area. On the basis of the results from highly cited studies and high-frequency keywords, the research hotspots of BCSCs currently focus on domains including stemness and membrane biomarkers, key signaling pathways and molecules, therapeutic targeting and plasticity, therapeutic resistance, tumor characteristics, and microenvironment. In addition, the findings from keywords co-occurrence and burst analysis implied that research areas such as ferroptosis, GLI1, molecular docking, glycolysis, tumor microenvironment, copper, RUNX2, hyaluronic acid, cytokines, NANGO, long non-coding RNAs, triple-negative breast cancer, nanoparticles, Hippo pathway, and T cells warrant ongoing attention in the future. Additionally, TGFB1, STAT3, MYC, GAPDH, and INS were identified as the top five genes receiving the highest research focus within BCSC studies.
conclusionsThis is the first study to comprehensively map the current state and global emerging trends in BCSC research through a bibliometric analysis. These findings provide a comprehensive overview of BCSC research and may serve as a useful reference for scholars and policymakers to identify emerging trends and prioritize future research directions in this field.
Indexed as
Identifiers
40268846What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.