AI Article Synopsis
- - Laryngeal cancer (LC) is a significant head and neck malignancy, representing 1% to 5% of new cancer cases, yet many patients are diagnosed at advanced stages, highlighting the need for better early diagnosis methods.
- - Researchers studied 39 LC patients and 53 healthy controls using blood samples and advanced mass spectrometry to identify specific metabolic markers associated with LC.
- - A promising biomarker panel, including compounds like arginine and proline, showed a high sensitivity (89.74%) and specificity (83.02%) for distinguishing LC patients from healthy individuals, suggesting a new approach for early diagnosis of the disease.
Article Abstract
Laryngeal cancer (LC) as one of common malignant tumors in the head and neck region accounted for 1% to 5% of new cancer cases and was ranked as the third otolaryngology cancer. However, some patients with LC were diagnosed at the advanced stage, which can cause delayed diagnosis and treatment. It is an urgent task to seek effective biomarkers for the early diagnosis of LC aimed at alleviating suffering.A combination of dried blood spot sampling and direct infusion mass spectrometry technology was applied to 39 patients with LC and 53 healthy individuals. Multiple algorithms towards 93 metabolites including amino acids and carnitine/acylcarnitines were run for selecting differential metabolites. Furthermore, leave-one-out cross-validation method was used to evaluate diagnostic performance of selected metabolite biomarkers.A biomarker panel consisting of arginine, proline, hexacosanoic carnitine, ornithine /citrulline, and 3-hydroxy-octadecenoylcarnitine exhibited potential to distinguish patients with LC from healthy individuals, with a sensitivity of 0.8974 and a specificity of 0.8302 in leave-one-out cross-validation model.The metabolomic analysis of LC patients is beneficial to screen disease-associated biomarkers and develop new diagnostic approaches.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878607 | PMC |
| http://dx.doi.org/10.1097/MD.0000000000028820 | DOI Listing |
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