The SLC25A45-TML Axis as a Biological Foundation for a Multivariable Plasma Metabolite Signature for High-Precision Prostate Cancer Detection
Background: Prostate cancer remains a significant global health burden, yet current diagnostic reliance on PSA screening is heavily hampered by limited specificity and high rates of overdiagnosis. Methods: To address this clinical bottleneck, we utilized a highly sensitive Complete360®-MyMeta targeted-metabolomics platform to perform high-resolution profiling of 43 metabolites across the carnitine, polyamine, and methylation networks in plasma from a discovery cohort of all-stage (I–IV) PCa patients and healthy controls. Results: Our analysis identified 28 significantly altered metabolites (p < 0.05), revealing profound systemic metabolic reprogramming characterized by the depletion of circulating TML and putrescine, alongside the elevation of L-acetylcarnitine and sarcosine. These systemic shifts are consistent with a localized tumoral “metabolic sink”, wherein upregulated mitochondrial TML import via the SLC25A45 transporter actively fuels fatty acid oxidation, while parallel androgen signaling drives massive polyamine synthesis. Translating these mechanistic insights into a clinical tool, we developed a multivariable diagnostic signature utilizing mathematically stable bipartite metabolic ratios. An optimized, cross-validated model combining L-acetylcarnitine/TML and sarcosine/putrescine effectively mitigated physiological noise to achieve robust diagnostic separation, yielding an area under the curve (AUC) of 0.99. Conclusions: Ultimately, this study provides a discovery-phase proof-of-concept for the SLC25A45-TML axis as a mechanistically grounded, stage-independent liquid biopsy, offering a rational, non-invasive framework to significantly improve PCa detection.
Authors
- Naseruddin Höti (ORCID: https://orcid.org/0000-0001-8394-8865)
- Liang Zhao (ORCID: https://orcid.org/0000-0002-2126-6778)
- Raghothama Chaerkady
- Morgan Fair
- Anirudh Kashyap
- Eric Zhao
- Xiaonan Kang (ORCID: https://orcid.org/0009-0007-5942-1204)
- Qing Wang (ORCID: https://orcid.org/0000-0002-7979-766X)
Institutions
- University of Maryland, Baltimore (US)
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Focused Photonics (China) (CN)
- Complete Omics (United States) (US)
Publication Details
- Journal
- Cancers
- Published
- 2026-05-12
- DOI
- https://doi.org/10.3390/cancers18101571
- Primary Topic
- Polyamine Metabolism and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Commission of Shanghai Municipality