Evidence map›Paper›PMID 42178335›Full record

ArticleScientific reports2026

NMR-based metabolomics analysis in breast cancer patients from Saudi Arabia: a pilot study.

Muhammad Ikram Ullah, Shazia Rashid, Aisha Tahir, Ayman Ali Mohammed Alameen, Aisha Farhana, Tarig Mohamed Fadl Elmula, Ziad H Al-Oanzi

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Muhammad Ikram UllahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, 72388, Sakaka, Aljouf, Saudi Arabia. mikramullah@ju.edu.sa.
Shazia RashidDepartment of Biochemistry, King Abdulaziz Specialist Hospital, 72345, Sakaka, Aljouf, Saudi Arabia.
Aisha TahirDepartment of Biochemistry, University of Health Sciences, KSK Campus, Lahore, 54600, Pakistan.
Ayman Ali Mohammed AlameenDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, 72388, Sakaka, Aljouf, Saudi Arabia.
Aisha FarhanaDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, 72388, Sakaka, Aljouf, Saudi Arabia.
Tarig Mohamed Fadl ElmulaCollege of Medical and Health Sciences, Liwa University, Abu Dhabi, 41009, United Arab Emirates.
Ziad H Al-OanziDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, 72388, Sakaka, Aljouf, Saudi Arabia.

Funding

Al Jouf University DGSSR-2024-01-01171
6 · The paper itself

Abstract

In breast cancer (BC), metabolomic profiles have largely focused on Western and East Asian groups, with limited data from the Middle East. Population-specific studies are required to better understand metabolite alterations due to regional, environmental and genetic heterogeneity. This exploratory pilot study aimed to evaluate serum metabolic alterations in breast cancer patients and their associations with disease stage using NMR-based metabolomics in the Saudi Arabian cohort. A total of 30 female breast cancer patients and 30 healthy controls were included. Patient samples showed higher levels of ketoglutarate, glutamine, lipids, and branched-chain amino acids, while acetate, creatine, and glucose were lower in the patient group (all FDR q < 0.05). Ketoglutarate (AUC = 0.85), glutamine (AUC = 0.84), and lipids (AUC = 0.82) demonstrated discriminatory ability. A combined model incorporating acetate and ketoglutarate achieved an AUC of 0.91. With advancing disease stage, lactate (p-trend = 0.005), leucine (p-trend = 0.044), and glutamate (p-trend = 0.033) showed decreasing trends. Lactate, choline, and glucose were each independently associated with more advanced disease in multivariable models. Unsupervised principal component analysis (PCA), supervised partial least squares-discriminant analysis (PLS-DA), and orthogonal PLS-DA (OPLS-DA) showed metabolic separation between patients and controls. Permutation testing indicated that class separation exceeded random classification; however, overfitting remains possible due to reliance on internal validation. The negative Q² value (- 0.577) indicates poor predictive generalizability. In conclusion, this study identifies candidate metabolite signatures associated with breast cancer in a Saudi cohort. These findings require validation in independent cohorts before clinical application.

Indexed as

Breast NeoplasmsMetabolomeMetabolomicsAdultCase-Control StudiesFemaleHumansMagnetic Resonance SpectroscopyMiddle AgedPilot ProjectsSaudi ArabiaBreast cancerCandidate metabolitesMetabolomicsNMR spectroscopy

Identifiers

PMID42178335
PMCPMC13429682

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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.