Evidence map›Paper›PMID 41133000›Full record

ReviewTranslational lung cancer research2025

Metabolite biomarkers in lung cancer: unlocking the potential of body fluid analysis for early detection and prognosis-a narrative review.

Su Min Kim, Jiyeon Yoon, Jing Zhang, Seong Eun Lee, Bon Jeong Ku, Junyoung O Park, Chaeuk Chung, Jun Young Heo, Yea Eun Kang, Da Hyun Kang

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 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. 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

10 authors.

Su Min Kim *Research Center for Endocrine and Metabolic Disease, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Jiyeon Yoon *Research Center for Endocrine and Metabolic Disease, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Jing ZhangResearch Center for Endocrine and Metabolic Disease, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Seong Eun LeeResearch Center for Endocrine and Metabolic Disease, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Bon Jeong KuDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Junyoung O ParkDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, USA.
Chaeuk ChungDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Jun Young HeoDepartment of Biochemistry, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.
Yea Eun KangResearch Center for Endocrine and Metabolic Disease, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-2012-3716
Da Hyun KangDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-3495-0931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Lung cancer is a leading cause of cancer-related mortality, due to delayed diagnosis and the complexity of selecting the optimal treatment method, given the genetic diversity and heterogeneity of the disease. Traditional invasive techniques, such as tissue biopsy, carry risks of severe complications and are often costly. Therefore, there is increasing interest in non-invasive alternatives, particularly liquid biopsy. This review aims to propose promising circulating metabolite biomarkers for lung cancer and their clinical applications. Methods: A PubMed search [2014-2024] was conducted, focusing on fluid-based, non-invasive samples such as blood, urine, pleural effusion, and bronchoalveolar lavage fluid. Only English-language articles relevant to lung cancer metabolomics were included. Key Content and Findings: Analysis of altered metabolites in lung cancer patients revealed significant metabolic pathway enrichments. Upregulated pathways included arginine biosynthesis and alanine, aspartate, and glutamate metabolism, while downregulated pathways involved valine, leucine, and isoleucine biosynthesis and fatty acid metabolism. Metabolite biomarker changes across multiple body fluids were identified when comparing lung cancer patients to healthy controls. In blood, choline, serine, and threonine levels were reduced, whereas tryptophan and tyrosine were elevated. Pleural effusion exhibited decreased oleic acid and ceramide, urine showed increased creatine riboside (CR) and N-acetylneuraminic acid (NANA), and bronchoalveolar lavage fluid (BALF) revealed reductions in glycine and glycerol, highlighting distinct metabolic alterations associated with lung cancer. Conclusions: Circulating metabolite biomarkers offer a promising, non-invasive approach for early lung cancer detection and personalized treatment strategies. Their accessibility and safety provide a viable alternative to invasive biopsies. Further clinical validation is essential to integrate these biomarkers into practice.

Indexed as

diagnosisLung cancermetabolitenon-invasive biomarkerprognosis

Identifiers

PMID41133000
PMCPMC12541831

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Registered trials

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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.