Evidence map›Paper›PMID 41799938›Full record

ReviewMedComm2026

Clinical Application of Peripheral Blood Biomarkers for Solid Tumors.

Xinru Tu, Mengyan Tu, Junfen Xu

Abstract readReview
In one paragraph

Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

3 authors.

Xinru TuDepartment of Gynecologic Oncology Women's Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China.
Mengyan TuDepartment of Gynecologic Oncology Women's Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China.
Junfen XuDepartment of Gynecologic Oncology Women's Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China.ORCID https://orcid.org/0000-0002-2377-0775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing emphasis on precision medicine in the management of solid tumors has underscored the limitations of traditional diagnostic approaches, which often lack sufficient sensitivity or rely on invasive procedures. In contrast, peripheral blood biomarkers provide a minimally invasive, dynamic, and potentially more accurate means for cancer detection and monitoring. The enhancement of detection technology has enabled the incorporation of an increasing number of biomarkers into exploratory clinical trials, which, in turn, have demonstrated immense clinical utility. However, numerous hurdles remain before these biomarkers can be applied in a real clinical setting. This review comprehensively summarizes the clinical utility of key blood-based biomarkers, including circulating tumor cells, circulating tumor DNA, extracellular vesicles, cell-free RNA, peripheral blood mononuclear cells, and proteins. We discuss their biological characteristics, detection methodologies, and recent advances in their clinical applications. Moreover, we highlight the emerging role of new technologies such as artificial intelligence (AI) in decoding complex data and facilitating clinical decision-making. It is expected to establish the overarching concept of the blood biomarker panel and to understand its comparative advantages, which are essential to realize its potential in precision oncology.

Indexed as

blood biomarkersmachine learningnoninvasive tumor detectionprecision oncology

Identifiers

PMID41799938
PMCPMC12960069

What OpenQuestion 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 OpenQuestion graph.