Evidence map›Paper›PMID 36654951›Full record

ArticleGland surgery2022

The ctDNA-based postoperative molecular residual disease status in different subtypes of early-stage breast cancer.

Yang Yang, Jie Zhang, Jiao-Yang Li, Lu Xu, Si-Ning Wang, Jun-Qi Zhang, Zhou Xun, Yu Xia, Jian-Bo Cao, Yang Liu and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% 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, 8 citations in OpenAlex.

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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

18 authors at 3 institutions in 1 country.

Yang Yang *Medical College of Soochow University, Suzhou, China.
Jie Zhang *Department of Gynecology & Obstetrics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiao-Yang Li *Department of Ultrasound, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Lu Xu *Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Si-Ning WangMedical College of Soochow University, Suzhou, China.
Jun-Qi ZhangMedical College of Soochow University, Suzhou, China.
Zhou XunMedical College of Soochow University, Suzhou, China.
Yu XiaDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jian-Bo CaoDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yang LiuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Li-Yan ShiDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wei LiDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yong-Lei ShiGeneplus-Beijing Institute, Beijing, China.
Yuan-Ge HeGeneplus-Beijing Institute, Beijing, China.
De-Jian GuGeneplus-Beijing Institute, Beijing, China.
Zheng-Yuan YuDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Kai ChenDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jing LanDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is a highly heterogeneous disease. Early-stage, non-metastatic breast cancer is considered curable after definitive treatment. Early detection of tumor recurrence and metastasis through sensitive biomarkers is helpful for guiding clinical decision-making and early intervention in second-line treatment, which could improve patient prognosis and survival. Methods: In this real-world study, we retrospectively analyzed 82 patients with stages I to III breast cancer who had been analyzed by molecular residual disease (MRD) assay. A total of 82 tumor tissues and 224 peripheral blood samples were collected and detected by next-generation sequencing (NGS) based on a 1,021-gene panel in this study. Results: MRD positivity was detected in 18 of 82 patients (22.0%). The hormone receptor-/human epidermal growth factor receptor 2+ (HR-/HER2+) subgroup had the highest postoperative MRD detection rate at 30.8% (4/13). The Conclusions: This real-world study confirmed that patient samples of primary tumor tissue with different MRD status and molecular subtypes had differential genetic features, which may be used to predict patients at high risk for recurrence.

Indexed as

Early-stage breast cancergenetic featuresmolecular residual disease (MRD)molecular subtypes

Identifiers

PMID36654951
PMCPMC9840987
OpenAlexW4313248756

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.