ArticleNPJ breast cancer2021
Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer.
Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- A cfDNA fragmentomics-based machine learning model for predicting treatment response and recurrence in locally advanced rectal cancer after neoadjuvant chemoradiotherapy.The journal of liquid biopsy · 2026Article
- Revolutionizing lung cancer screening: the rise of artificial intelligence integrating circulating tumor markers.World journal of surgical oncology · 2026Review
- Impact of Clonal Hematopoiesis of Indeterminate Potential on Treatment Response and Tumor Microenvironment in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy.Journal of mammary gland biology and neoplasia · 2026Article
- Simulating cell-free chromatin using preclinical cancer models for liquid biopsy applications.iScience · 2025Article
- A Systematic Review of Advances in Plant-Based Phospholipid Liposomes in Breast Cancer Therapy: Characterization, Innovations, Clinical Applications, and Future Directions.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Maternal plasma cell-free DNA nucleosome footprints can reveal changes in gene expression profiles during pregnancy and pre-eclampsia.BMC pregnancy and childbirth · 2025Article
- Artificial intelligence and machine learning in cell-free-DNA-based diagnostics.Genome research · 2025Review
- Plasma Cell-Free DNA Concentration and Fragmentomes Predict Neoadjuvant Chemotherapy Response in Cervical Cancer Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Cell-free DNA Concentration as a Biomarker of Response and Recurrence in HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Nucleosome reorganisation in breast cancer tissues.Clinical epigenetics · 2024Article
- Review
- Integrative analyses of maternal plasma cell-free DNA nucleosome footprint differences reveal chromosomal aneuploidy fetuses gene expression profile.Journal of translational medicine · 2022Article
- Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey.Life (Basel, Switzerland) · 2021Review
- Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer.NPJ breast cancer · 2021Article
- A Deep-Learning Pipeline for TSS Coverage Imputation From Shallow Cell-Free DNA Sequencing.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method. The patients showed distinct nucleosome footprints at Transcription Start Sites (TSSs) compared with normal donors. In order to identify the footprints of cfDNA corresponding with the responses to neoadjuvant chemotherapy in patients, we mapped on nucleosome positions on cfDNA of patients with different responses: responders (pretreatment, n = 28; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 12) and nonresponders (pretreatment, n = 10; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 10). The coverage depth near TSSs in plasma cfDNA differed significantly between responders and nonresponders at pretreatment, and also after neoadjuvant chemotherapy treatment cycles. We identified 232 TSSs with differential footprints at pretreatment and 321 after treatment and found enrichment in Gene Ontology terms such as cell growth inhibition, tumor suppressor, necrotic cell death, acute inflammatory response, T cell receptor signaling pathway, and positive regulation of vascular endothelial growth factor production. These results suggest that cfDNA nucleosome footprints may be used to predict the efficacy of neoadjuvant chemotherapy for breast cancer patients and thus may provide help in decision making for individual patients.
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Registered trials
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