Evidence map›Paper›PMID 33772032›Full record

ArticleNPJ breast cancer2021

Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer.

Xu Yang, Geng-Xi Cai, Bo-Wei Han, Zhi-Wei Guo, Ying-Song Wu, Xiaoming Lyu, Li-Min Huang, Yuan-Bin Zhang, Xin Li, Guo-Lin Ye and 1 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Article
  9. 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 · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Xu YangClinical Innovation and Research Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID http://orcid.org/0000-0003-2242-670X
Geng-Xi CaiDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, China.ORCID http://orcid.org/0000-0003-0575-4314
Bo-Wei HanInstitute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
Zhi-Wei GuoInstitute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
Ying-Song WuInstitute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
Xiaoming LyuDepartment of Laboratory Medicine, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0002-6243-3536
Li-Min HuangInstitute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
Yuan-Bin ZhangClinical Innovation and Research Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Xin LiClinical Innovation and Research Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China. xinli268@gmail.com.ORCID http://orcid.org/0000-0003-0958-1078
Guo-Lin YeDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, China. yglin@fsyyy.com.ORCID http://orcid.org/0000-0002-6922-3435
Xue-Xi YangInstitute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China. yxx1214@smu.edu.cn.ORCID http://orcid.org/0000-0002-3513-6501
Southern Medical University · CNThird Affiliated Hospital of Southern Medical University · CNFirst People's Hospital of Foshan · CNSouthern Medical University Shenzhen Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID33772032
PMCPMC7997954
OpenAlexW3139039534

What OpenQuestion holds

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Registered trials

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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.