Evidence map›Paper›PMID 40666090›Full record

ReviewFrontiers in oncology2025

Clinical utility of various liquid biopsy samples for the early detection of ovarian cancer: a comprehensive review.

Yueqi Feng, Wanjun Yang, Jingyu Zhu, Shirui Wang, Ningjuan Wu, Hanzhi Zhao, Xiaofeng Yang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yueqi FengDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Wanjun YangDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jingyu ZhuDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shirui WangDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ningjuan WuDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Hanzhi ZhaoSchool of Medicine, Northwest University, Xi'an, Shaanxi, China.
Xiaofeng YangDepartment of Gynecology and Obstetrics, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is a highly lethal gynecologic malignancy because of the absence of specific early symptoms and reliable biomarkers, most OC patients are often diagnosed at advanced stages, resulting in poor prognosis. Traditional tissue biopsy and serological biomarkers like CA125 have limited clinical application. Therefore, there is an urgent demand for effective diagnostic and screening tools in clinical practice. Liquid biopsy is a non-invasive method for early cancer detection by analyzing tumor-associated components shed into different body fluids, for example, circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), cell-free RNA, proteins, and metabolites. Increasing evidence has demonstrated that liquid biopsy is promising for detecting cancer at an early stage. In this review, we outline the results for the utility of each liquid biopsy fluid, including serum/plasma, urine, cervical/vaginal sample, uterine lavage, and summarize the advantages and current constraints associated with their application in clinical settings. Future directions and challenges are also highlighted, along with areas where more research is warranted.

Indexed as

biomarkersearly detectionliquid biopsymulti-omicsovarian cancer

Identifiers

PMID40666090
PMCPMC12259431

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.