Evidence map›Paper›PMID 37391812›Full record

ReviewBiomarker research2023

Cancer metabolites: promising biomarkers for cancer liquid biopsy.

Wenxiang Wang, Zhiwei Rong, Guangxi Wang, Yan Hou, Fan Yang, Mantang Qiu

Open access · goldAbstract readReview
In one paragraph

Review in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
13.9field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
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  6. A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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11 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Wenxiang WangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
Zhiwei RongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100191, China.
Guangxi WangInstitute of Systems Biomedicine, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, 100191, China.
Yan HouDepartment of Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Fan YangDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China. yangfan@pkuph.edu.cn.
Mantang QiuDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China. qiumantang@163.com.
Peking University · CNPeking University People's Hospital · CN

Funding

Beijing Natural Science Foundation L222021National Natural Science Foundation of China 82102692National Natural Science Foundation of China 82173386National Natural Science Foundation of China 82173615
6 · The paper itself

Abstract

Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications.

Indexed as

BiomarkersCancer diagnosisCirculating metabolitesLiquid biopsy

Identifiers

PMID37391812
PMCPMC10311880
OpenAlexW4382786346

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.