Decreased Circulating Glutamine and Myo-Inositol in Cervical Cancer: Exploratory NMR Metabolomics and Internal Discrimination Using Their Additive Feature (MQ)
Background: Cervical cancer is accompanied by metabolic reprogramming, but circulating NMR metabolite signatures require rigorous statistical assessment before clinical interpretation. Methods: Serum metabolite concentrations were analyzed in 33 cervical cancer (CC) cases and 31 normal controls (NC). Group differences across 35 primary metabolites were assessed using Welch’s t-test with Benjamini–Hochberg false-discovery-rate (FDR) control; Mann–Whitney tests were used as distribution-robust sensitivity analyses. Age-adjusted linear models with HC3 robust standard errors were fitted for each primary metabolite (primary analysis: raw concentrations; sensitivity analysis: log2-transformed concentrations), with FDR correction across the 35 models. MQ was defined as [glutamine] + [myo-inositol]. ROC discrimination was summarized using stratified-bootstrap 95% confidence intervals, and paired DeLong testing compared MQ with glutamine. Results: Glutamine (CC 229.7 ± 102.2 μM; NC 434.8 ± 123.8 μM) and myo-inositol (CC 18.3 ± 8.8 μM; NC 35.8 ± 11.0 μM) were lower in CC, and both remained significant after age adjustment and FDR correction. Within CC, serum glutamine was strongly inversely correlated with tumor length (Spearman ρ = −0.94, n = 31; exploratory, requires independent replication). Apparent ROC AUCs were 0.906 for glutamine, 0.889 for myo-inositol, and 0.919 for MQ. The paired DeLong comparison of MQ versus glutamine was not statistically significant (AUC difference 0.0132; approximate 95% CI −0.0031 to 0.0295; p = 0.113). Repeated cross-validation is reported as within-cohort resampling performance and not independent validation. Conclusions: The findings support lower circulating glutamine and myo-inositol in this cohort. MQ is an exploratory additive feature without demonstrated superiority over glutamine alone; external validation and adjustment for additional clinical confounders are required.
Authors
- Dinesh Kumar (ORCID: https://orcid.org/0000-0001-8079-6739)
- Dibyendu Banerjee (ORCID: https://orcid.org/0000-0003-4244-9714)
- Shuchi Agrawal (ORCID: https://orcid.org/0000-0002-1847-5472)
- Preeti Agarwal (ORCID: https://orcid.org/0000-0001-8107-8501)
- Amro Abd Al Fattah Amara (ORCID: https://orcid.org/0000-0003-4629-5476)
- Nitu Nigam (ORCID: https://orcid.org/0000-0002-5426-1527)
- Arti Gupta (ORCID: https://orcid.org/0000-0002-8635-8761)
- Nisha Singh (ORCID: https://orcid.org/0009-0001-5409-6488)
- Pragati Gupta (ORCID: https://orcid.org/0009-0001-5346-607X)
- Sanjay Nigam (ORCID: https://orcid.org/0009-0001-4986-4219)
- Praveen Kumar (ORCID: https://orcid.org/0009-0004-7859-4192)
Institutions
- Dr. Ram Manohar Lohia Avadh University (IN)
- Central Drug Research Institute (IN)
- Rama University (IN)
- King George's Medical University (IN)
- City of Scientific Research and Technological Applications (EG)
- Centre of Biomedical Research (IN)
- Academy of Scientific and Innovative Research (IN)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-11-04
- DOI
- https://doi.org/10.3390/diagnostics16213639
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00