Evidence mapPaperPMID 39710659Full record

ArticleBMC cancer2024

Circulating tumor DNA detection improves relapse prediction in epithelial ovarian cancer.

Ying Zhang, Yanfang Guan, Xiao Xiao, Sicong Xu, Shan Zhu, Dongyan Cao, Mei Yu, Peng Peng, Jing Wang, Yongjun Wang and 10 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
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

20 authors.

Ying Zhang *Department of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanfang Guan *Geneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Xiao Xiao *Genomics Institute, Geneplus-Shenzhen, Shenzhen, 518118, China.
Sicong XuGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Shan ZhuDepartment of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dongyan CaoDepartment of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Mei YuDepartment of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Peng PengDepartment of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing WangDepartment of Gynecology Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Yongjun WangDepartment of Obstetrics and Gynecology, Peking University International Hospital, Beijing, China.
Rutie YinDepartment of Obstetrics and Gynecology, West China Second Hospital of Sichuan University, Chengdu, China.
Jianting GuoGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Wei GaoGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Pansong LiGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Jing BaiGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Yuhua GongGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Xuefeng XiaGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Xin YiGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China.
Ling YangGeneplus-Beijing Institute, Peking University Medical Industrial, 9th Floor, No.6 Building, Park, Zhongguancun Life Science Park, Beijing, China. yangl@geneplus.org.cn.
Yang XiangDepartment of Obstetrics and Gynecology, National Clinical Research Centre for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. xiangy@pumch.cn.

Funding

Capital's Funds for Health Improvement and Research No.2022-1-4011National High Level Hospital Clinical Research Funding 2022-PUMCH-B-083
6 · The paper itself

Abstract

backgroundEpithelial ovarian cancer (EOC) is a lethal form of gynecological malignancy. Some EOC patients experience relapse after standard primary debulking surgery (PDS) and adjuvant chemotherapy (ACT). Identifying molecular residual disease (MRD) by circulating tumor DNA (ctDNA) detection can timely signal the potential for relapse. However, research on the usage of ctDNA for MRD detection in EOC is limited.

methodsFifty-one EOC patients who received standard PDS and ACT were included. Targeted sequencing based on a panel of 1021 cancer-related genes, along with further validation using Enrich-rare-mutation sequencing, was performed on tumor tissues acquired during PDS and on plasma samples collected before and after PDS/ACT to identify variants reflecting tumor signals.

resultsPost-surgery MRD was associated with relapse (Log-rank p = 0.0006) and was identified as an independent prognostic factor (HR, 3.4; 95% CI, 1.02-11.42; p = 0.047). The negative and positive predictive values were 0.83 and 0.62 respectively. Additionally, post-surgery MRD outperformed CA125 in predicting relapse, and integrating both parameters could provide more accurate risk stratification. Post-ACT MRD detection identified the patients with ctDNA clearance who were still at risk of relapse. Furthermore, baseline ctDNA detection could help determine patients who are not suitable for further tests after surgery.

conclusionsPost-surgery MRD is superior to CA125 in predicting relapse in EOC. Patients exhibiting transient ctDNA clearance, as evaluated by post-ACT MRD, may require longitudinal monitoring. Baseline ctDNA detection could help determine whether post-surgery ctDNA monitoring should be performed.

Indexed as

Carcinoma, Ovarian EpithelialCirculating Tumor DNANeoplasm Recurrence, LocalNeoplasm, ResidualOvarian NeoplasmsAdultAgedBiomarkers, TumorChemotherapy, AdjuvantCytoreduction Surgical ProceduresFemaleHumansMiddle AgedPrognosisBiomarkers, TumorCirculating Tumor DNACA125Circulating tumor DNAEpithelial ovarian cancerMolecular residual diseaseRelapse

Identifiers

PMID39710659
PMCPMC11663307

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.