Evidence map›Paper›PMID 42457245›Full record

ArticleJournal of proteome research2026

Serum 1H NMR-Based Untargeted Metabolomics for Noninvasive Early Detection of Breast Cancer.

Akbar Ali, Tengku Ahmad Damitri Al Astani Tengku Din, Maulidiani Maulidiani, Heba Mohammed Arafat, Wan Faiziah Wan Abdul Rahman, Maya Mazuwin Yahya, Suhaini Kadiman, Ras Azira Binti Ramli, Wan Norlina Wan Azman

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Akbar AliDepartment of Chemical Pathology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian16150, Kelantan, Malaysia.ORCID 0009-0003-6543-3122
Tengku Ahmad Damitri Al Astani Tengku DinORCID 0000-0003-3265-1679
Maulidiani MaulidianiFaculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus21030, Terengganu, Malaysia.
Heba Mohammed ArafatDepartment of Chemical Pathology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian16150, Kelantan, Malaysia.
Wan Faiziah Wan Abdul RahmanDepartment of Pathology, School of Medical Science, Health Campus, Universiti Sains Malaysia, Kubang Kerian16150, Kelantan, Malaysia.
Maya Mazuwin YahyaDepartment of Surgery, School of Medical Science, Health Campus, Universiti Sains Malaysia, Kubang Kerian16150, Kelantan, Malaysia, Maya Mazuwin Yahya.
Suhaini KadimanAnesthesia and Intensive Care Unit, National Heart Institute, Kuala Lumpur50400, Malaysia.
Ras Azira Binti RamliFaculty of Medicine Universiti Sultan Zainal Abidin , Kuala Terengganu20400, Terengganu, Malaysia.
Wan Norlina Wan AzmanDepartment of Chemical Pathology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian16150, Kelantan, Malaysia.

Funding

School of Medical Sciences, Universiti Sains Malaysia 203/PPSP/6171345
6 · The paper itself

Abstract

Breast cancer (BC) is the most common malignancy among women, and late-stage presentation remains common in Asia, highlighting the need for affordable and minimally invasive adjuncts to imaging. This study evaluated whether fasting serum 1H NMR metabolomics could distinguish Malaysian women with newly diagnosed treatment-naïve BC from healthy controls and identify perturbed metabolic pathways. After spectral quality control exclusion, 101 participants were analyzed (BC, n = 44; control, n = 57). PCA and oOPLS-DA showed group separation, and 14 metabolites were deferred significantly after false discovery rate correction. Endogenous metabolites evaluated in BC included 3-hydroxybutyrate, citrate, glutamine, malonate, phenylalanine, dimethyl sulfone, myo-inositol, and L-carnitine, and the levels of formate, tyrosine, histamine, and p-hydroxyphenylacetate were reduced. Acetylsalicylate and salicylate were classified as exogenous aspirin-related markers and were excluded from the endogenous biomarker panel. Pathway analysis indicated disruptions in the tricarboxylic acid (TCA) cycle, glyoxylate/dicarboxylate metabolism, butanoate metabolism, and amino acid pathways. Metabolite-based classifiers achieved 0.901 accuracy on an internal held-out test partition (AUC 0.942) and 0.902 ± 0.061 accuracy in repeated stratified 5-fold cross-validation. These internally validated findings define a BC-associated serum metabolomic signature in a Southeast Asian cohort and warrant independent external validation.

Indexed as

Biomarkers, TumorBreast NeoplasmsEarly Detection of CancerMetabolomeMetabolomicsProton Magnetic Resonance Spectroscopy3-Hydroxybutyric AcidAdultFemaleFormatesGlutamineHumansMalonatesMetabolic Networks and PathwaysMiddle AgedPhenylacetates3-Hydroxybutyric AcidBiomarkers, TumorFormatesGlutamineMalonatesPhenylacetates1H NMR spectroscopybiomarkersbreast cancermachine learningserum metabolomics

Identifiers

PMID42457245
PMCPMC13459532

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.