Evidence map›Paper›PMID 32908788›Full record

ArticleJournal of breast cancer2020

Analysis of Circulating Tumor DNA to Predict Neoadjuvant Therapy Effectiveness and Breast Cancer Recurrence.

Shuai Hao, Wuguo Tian, Jianjie Zhao, Yi Chen, Xiaohua Zhang, Bo Gao, Yujun He, Donglin Luo

Open access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 62% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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

8 authors at 1 institution in 1 country.

Shuai HaoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0003-4942-2215
Wuguo TianDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0001-6414-6808
Jianjie ZhaoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0003-0950-9623
Yi ChenDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-6919-5446
Xiaohua ZhangDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-2381-5240
Bo GaoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0002-9550-1339
Yujun HeDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0003-2203-7931
Donglin LuoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0000-0001-9329-0147
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeReal-time detection and intervention can be used as potential measures to markedly decrease breast cancer mortality. Assessment of circulating tumor DNA (ctDNA) may offer great benefits for the management of breast cancer over time. However, the use of ctDNA to predict the effectiveness of neoadjuvant treatment and recurrence of breast cancer has rarely been studied.

methodsWe prospectively recruited 31 breast cancer patients with 4 subtypes. Three time points were set in this study, including before any therapy (C1), during surgery (T), and six months after surgery (C2). We collected peripheral blood samples from all 31 patients at C1, tumor tissue from all 31 patients at T, and peripheral blood samples from 25 patients at C2. Targeted 727-gene panel sequencing was performed on ctDNA from all blood samples and tissue DNA from all tissue samples. Somatic mutations were detected and analyzed using a reference standard pipeline. Statistical analysis was performed to identify possible associations between ctDNA profiles and clinical outcomes.

resultsIn total, we detected 159, 271, and 70 somatic mutations in 30 C1 samples, 31 T samples, and 12 C2 samples, respectively. We identified specific genes, such as

conclusionOur study highlights the potential of ctDNA analysis at different timepoints for assessing tumor progression and treatment effectiveness, as well as prediction of breast cancer recurrence.

Indexed as

Breast neoplasmsCirculating tumor DNANeoadjuvant therapyRecurrence

Identifiers

PMID32908788
PMCPMC7462818
OpenAlexW3040722376

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.