Evidence map›Paper›PMID 40178300›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Performance of Liquid Biopsy-Based Multi-Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE-I).

Zheng Feng, Huijuan Ge, Jingshu Wang, Yanan Wang, Xiaoran Sun, Bo Yang, Siyu Cao, Chenlian Quan, Qinhao Guo, Yusheng Han and 8 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Review
  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

18 authors.

Zheng FengDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Huijuan GeDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Jingshu WangBurning Rock Biotech, Guangdong, 510300, China.
Yanan WangBurning Rock Biotech, Guangdong, 510300, China.
Xiaoran SunBurning Rock Biotech, Guangdong, 510300, China.
Bo YangBurning Rock Biotech, Guangdong, 510300, China.
Siyu CaoDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Chenlian QuanDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Qinhao GuoDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yusheng HanBurning Rock Biotech, Guangdong, 510300, China.
Feidie DuanBurning Rock Biotech, Guangdong, 510300, China.
Fang LiuBurning Rock Biotech, Guangdong, 510300, China.
Jing ZhaoBurning Rock Biotech, Guangdong, 510300, China.
Guoqiang WangBurning Rock Biotech, Guangdong, 510300, China.
Yuzi ZhangBurning Rock Biotech, Guangdong, 510300, China.
Shangli CaiBurning Rock Biotech, Guangdong, 510300, China.
Xiaohua WuDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Hao WenDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.ORCID https://orcid.org/0000-0002-9587-8742

Funding

General Project of Natural Science Foundation of Shanghai 21ZR1415000
6 · The paper itself

Abstract

Liquid biopsy is a promising approach for early detection of gynecological malignancies. In the PERCEIVE-I study, gynecological Cancer cases (n = 249) and age-matched non-cancer controls (n = 249) are randomly divided into training and test sets at a 1:1 ratio. Data derived from multi-omics assays are obtained including a cell-free DNA methylation panel targeting ≈490 000 CpG sites, a mutation panel comprising 168 genes, and eight tumor protein markers. The results showed that the methylation model outperformed the protein and mutation models, demonstrating higher sensitivity (77.2%) while maintaining similar specificity. The multi-omics model combining methylation and protein markers achieved improved sensitivity (81.9%) with a good specificity (96.9%). The sensitivity varied across different stages, ranging from 66.7% to 100%. The model accurately identified the tissue of origin in 72.1% of cases. The superior performance of the methylation model highlights the potential of integrating multi-omics for non-invasive early detection of gynecological malignancies.

Indexed as

Biomarkers, TumorEarly Detection of CancerGenital Neoplasms, FemaleAdultAgedDNA MethylationFemaleHumansLiquid BiopsyMiddle AgedMultiomicsProspective StudiesSensitivity and SpecificityBiomarkers, Tumorcancer detectiongynecological malignancyliquid biopsymethylation

Identifiers

PMID40178300
PMCPMC12120774

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.