ReviewNPJ breast cancer2025
Bridging the gap: ctDNA, genomics, and equity in breast cancer care.
Review in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Fecal Immunochemical Test and Multitarget Stool DNA Testing for Colorectal Cancer Screening in Real-World Practice: A Literature Review.Journal of clinical medicine · 2026Review
- The Transformative Potential of Liquid Biopsies and Circulating Tumor DNA (ctDNA) in Modern Oncology.Diagnostics (Basel, Switzerland) · 2026Review
- The Role of Androgen Receptor and Antiandrogen Therapy in Breast Cancer: A Scoping Review.Current oncology (Toronto, Ont.) · 2026Review
- Aligning awareness, systems and policy to increase equitable access to genomically driven cancer care.BMJ oncology · 2026Review
- Circulating Tumor DNA in Breast Cancer: A Liquid Biopsy Revolution for Non-Invasive Genomic Profiling and Clinical Decision-Making.Breast cancer : basic and clinical research · 2026Review
- Circular RNAs in Plasma and Beyond: Potential Biomarkers for Breast Cancer.Oncology research · 2026Review
- MOTLAB: A Weighted Multi-Omics Transfer Learning Approach to Mitigate Breast Cancer Racial Disparities.bioRxiv : the preprint server for biology · 2025Article
- Circulating DNA tumor fraction as a biomarker for advanced breast cancer.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circulating tumor DNA (ctDNA) has emerged as a powerful tool in precision oncology, offering a noninvasive approach to tumor profiling, minimal residual disease (MRD), and treatment monitoring. In breast cancer, ctDNA has shown promise in both metastatic and early-stage settings. However, its application and benefits have not been equitably realized across all populations. In this review, we examined the current evidence on ctDNA detection, assay performance, and clinical utility specifically within racially, ethnically, and geographically underrepresented populations. We synthesized data from genomic studies, ctDNA-based trials, and implementation research to identify disparities in ctDNA levels, mutational profiles, testing utilization, and access to genotype-matched therapies. These disparities were further compounded by structural barriers such as insurance coverage, geographic access, and limited inclusion in clinical research. Global data from low- and middle-income countries reinforced both the feasibility and the challenges of ctDNA implementation in resource-constrained settings. While ctDNA holds considerable potential to personalize breast cancer care, our findings underscore the urgent need to integrate equity into its validation, clinical application, and policy development to avoid perpetuating existing disparities.
Identifiers
What OpenQuestion 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 OpenQuestion graph.