Serum metabolomics reveals distinctive signature of cancer staging in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common form of head and neck cancer. It is of great significance to search for biomarkers associated with OSCC progression through minimally invasive methods. Conductive polymer spray ionization mass spectrometry (CPSI-MS) was used to perform a rapid metabolic analysis of trace volume serum from OSCC and healthy controls. Key metabolites were identified by receiver operating characteristic (ROC) curves and further validated by desorption electrospray ionization mass spectrometry (DESI-MSI) and ultra–high performance liquid chromatography-tandem mass spectrometer (UHPLC-MS/MS). The study identified 125 metabolites that significantly differentiated early-stage OSCC from healthy controls. 47 metabolites showed an upward or downward trend in the OSCC staging (I-IV). Through ROC curve analysis and trend assessment of metabolite levels, 10 key metabolites associated with OSCC staging were pinpointed. KEGG pathway enrichment analysis showed that glycerophospholipid metabolism is closely related to OSCC staging. Representative serum metabolites were validated by DESI-MS and UHPLC-MS/MS at tissue level. Kaplan-Meier (KM) survival analysis showed that PC (40:6) was an independent prognostic factor for OSCC. We identified 10 metabolites associated with OSCC staging, and found that glycerophospholipid metabolism may promote the progression of OSCC. Moreover, the key metabolite PC(40:6) is closely related to the prognosis of OSCC.

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Publication Details

Journal
BMC Oral Health
Published
2025-11-24
DOI
https://doi.org/10.1186/s12903-025-07210-9
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Serum metabolomics reveals distinctive signature of cancer staging in oral squamous cell carcinoma

Xiaowei Song, Haoyue Yang, Linjuan Liu, Liu Liu et al.
BMC Oral Health
Metabolomics and Mass Spectrometry Studies
article

Serum metabolomics reveals distinctive signature of cancer staging in oral squamous cell carcinoma

Xiaowei Song, Haoyue Yang, Linjuan Liu, Liu Liu, Jianhong Li, Qingang Hu, Xihu Yang, Yongqin Yang, Wen Lu
article en

Abstract

Oral squamous cell carcinoma (OSCC) is the most common form of head and neck cancer. It is of great significance to search for biomarkers associated with OSCC progression through minimally invasive methods. Conductive polymer spray ionization mass spectrometry (CPSI-MS) was used to perform a rapid metabolic analysis of trace volume serum from OSCC and healthy controls. Key metabolites were identified by receiver operating characteristic (ROC) curves and further validated by desorption electrospray ionization mass spectrometry (DESI-MSI) and ultra–high performance liquid chromatography-tandem mass spectrometer (UHPLC-MS/MS). The study identified 125 metabolites that significantly differentiated early-stage OSCC from healthy controls. 47 metabolites showed an upward or downward trend in the OSCC staging (I-IV). Through ROC curve analysis and trend assessment of metabolite levels, 10 key metabolites associated with OSCC staging were pinpointed. KEGG pathway enrichment analysis showed that glycerophospholipid metabolism is closely related to OSCC staging. Representative serum metabolites were validated by DESI-MS and UHPLC-MS/MS at tissue level. Kaplan-Meier (KM) survival analysis showed that PC (40:6) was an independent prognostic factor for OSCC. We identified 10 metabolites associated with OSCC staging, and found that glycerophospholipid metabolism may promote the progression of OSCC. Moreover, the key metabolite PC(40:6) is closely related to the prognosis of OSCC.

BMC Oral HealthVol. 25(1)
Jiangsu University (CN), Shanghai Jiao Tong University (CN), Shanghai Ninth People's Hospital (CN), Affiliated Hospital of Jiangsu University (CN), Jinzhou Medical University (CN), Nanjing University (CN), Stanford University (US)
National Natural Science Foundation of China, Government of Jiangsu Province
Openalex Percentile: Top 68%
Metabolomics and Mass Spectrometry Studies
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