Application of Metabolomics in the Early Diagnosis and Precise Treatment of Oral Squamous Cell Carcinoma

doi:10.13701/j.cnki.kqyxyj.2022.03.001

Abstract

Abstract: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors of the head and neck. Currently the 5-year survival rate of the patients is only about 60%. Difficulties for early diagnosis and precise treatment are important factors for its poor prognosis. One of the reasons is the lack of relevant tumor biomarkers for early screening and precise diagnosis. Researches have shown that, similar to other malignant tumors, OSCC also undergone significant metabolic reprogramming. Therefore, for altered obtaining changed metabolic enzymes and metabolites by metabolomics may be helpful for early screening and precise diagnosis of OSCC. This review shows the findings of metabolomics related to OSCC in recent years and hope to present new ideas or methods for improving the early diagnosis and precise therapy of OSCC patients,and advancing their survival rate.

Key words: oral squamous cell carcinoma, metabolites, early screening, precise diagnosis and treatment

HU Qingang, NI Yanhong, WANG Yuhan. Application of Metabolomics in the Early Diagnosis and Precise Treatment of Oral Squamous Cell Carcinoma[J]. Journal of Oral Science Research, 2022, 38(3): 207-211.

References

[1] Chakraborty D, Natarajan C, Mukherjee A. Advances in oral cancer detection[J]. Adv Clin Chem, 2019, 91:181-200.
[2] Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2021[J]. CA Cancer J Clin, 2021, 71(1):7-33.
[3] Grafton-Clarke C, Chen KW, Wilcock J, Diagnosis and referral delays in primary care for oral squamous cell cancer: a systematic review [J]. Br J Gen Pract, 2019, 69(679):e112-e126.
[4] Madhura MG, Rao RS, Patil S, et al. Advanced diagnostic aids for oral cancer [J]. Dis Mon, 2020, 66(12):101034.
[5] Steigen SE, Søland TM, Nginamau ES, et al. Grading of oral squamous cell carcinomas-Intra and interrater agreeability: Simpler is better?[J]. J Oral Pathol Med, 2020, 49(7):630-635.
[6] Martínez-Reyes I, Chandel NS. Caner medtabolism: looking forward[J]. Nat Rev Cancer, 2021, 21(10):669-680.
[7] Patti GJ, Yanes O, Siuzdak G. Innovation: metabolomics: the apogee of the omics trilogy[J]. Nat Rev Mol Cell Biol, 2012, 13(4):263-269.
[8] Zhang L, Zhang Z, Yu Z. Identification of a novel glycolysis-related gene signature for predicting metastasis and survival in patients with lung adenocarcinoma [J]. J Transl Med, 2019, 17(1): 423.
[9] Yu L, Lu M, Jia D, et al. Modeling the genetic regulation of cancer metabolism: interplay between glycolysis and oxidative phosphorylation[J]. Cancer Res, 2017, 77(7):1564-1574.
[10] Harshani JM, Yeluri S, Guttikonda VR. Glut-1 as a prognostic biomarker in oral squamous cell carcinoma [J]. J Oral Maxillofac Pathol, 2014, 18(3):372-378.
[11] Guduguntla P, Guttikonda VR. Estimation of serum pyruvic acid levels in oral squamous cell carcinoma [J]. J Oral Maxillofac Pathol, 2020, 24(3): 585.
[12] Gholizadeh N, Alipanahi Ramandi M, Motiee-Langroudi M, et al. Serum and salivary levels of lactate dehydrogenase in oral squamous cell carcinoma, oral lichen planus and oral lichenoid reaction [J]. BMC Oral Health, 2020, 20(1): 314.
[13] Chou CH, Chiang CF, Yang CC, et al. miR-31-NUMB cascade modulates monocarboxylate transporters to increase oncogenicity and lactate production of oral carcinoma cells [J]. Int J Mol Sci, 2021, 22(21):11731.
[14] Zhang Z, Gao Z, Rajthala S, et al. Metabolic reprogramming of normal oral fibroblasts correlated with increased glycolytic metabolism of oral squamous cell carcinoma and precedes their activation into carcinoma associated fibroblasts [J]. Cell Mol Life Sci, 2020, 77(6):1115-1133.
[15] Fahy E, Subramaniam S, Murphy RC, et al. Update of the LIPID MAPS comprehensive classification system for lipids [J]. J Lipid Res, 2009, 50 Suppl: S9-S14.
[16] Guri Y, Colombi M, Dazert E, et al. mTORC2 promotes tumorigenesis via lipid synthesis [J]. Cancer Cell, 2017, 32(6):807-823. e12.
[17] Cheng C, Geng F, Cheng X, et al. Lipid metabolism reprogramming and its potential targets in cancer [J]. Cancer Commun (Lond), 2018, 38(1):27.
[18] Li H, Feng Z, He ML. Lipid metabolism alteration contributes to and maintains the properties of cancer stem cells [J]. Theranostics, 2020, 10(16):7053-7069.
[19] Acharya S, Rai P, Hallikeri K, et al. Serum lipid profile in oral squamous cell carcinoma: alterations and association with some clinicopathological parameters and tobacco use [J]. Int J Oral Maxillofac Surg, 2016, 45(6):713-720.
[20] Xiong Y, Si Y, Feng Y, et al. Prognostic value of lipid metabolism-related genes in head and neck squamous cell carcinoma [J]. Immun Inflamm Dis, 2021, 9(1): 196-209.
[21] Gao J, Tian G, Han X, et al. Twentyfour signature genes predict the prognosis of oral squamous cell carcinoma with high accuracy and repeatability[J]. Mol Med Rep, 2018, 17(2): 2982-2990.
[22] Hu Q, Peng J, Chen X, et al. Obesity and genes related to lipid metabolism predict poor survival in oral squamous cell carcinoma [J]. Oral Oncol, 2019, 89: 14-22.
[23] Sivanand S, Vander Heiden MG. Emerging roles for branched-chain amino acid metabolism in cancer[J]. Cancer Cell, 2020, 37(2):147-156.
[24] Luo Y, Li W, Ling Z, et al. ASCT2 overexpression is associated with poor survival of OSCC patients and ASCT2 knockdown inhibited growth of glutamine-addicted OSCC cells [J]. Cancer Med, 2020, 9(10):3489-3499.
[25] Huang CC, Tsai ST, Kuo CC, et al. Arginine deprivation as a new treatment strategy for head and neck cancer [J]. Oral Oncol, 2012, 48(12): 1227-1235.
[26] Fu Y, Ding L, Yang X, et al. Asparagine synthetase-mediated l-asparagine metabolism disorder promotes the perineural invasion of oral squamous cell carcinoma [J]. Front Oncol, 2021, 11: 637226.
[27] Wei J, Xie G, Zhou Z, et al. Salivary metabolite signatures of oral cancer and leukoplakia [J]. Int J Cancer, 2011, 129(9):2207-2217.
[28] Sridharan G, Ramani P, Patankar S, et al. Evaluation of salivary metabolomics in oral leukoplakia and oral squamous cell carcinoma [J]. J Oral Pathol Med, 2019, 48(4):299-306.
[29] Ishikawa S, Wong DTW, Sugimoto M, et al. Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions [J]. Clin Oral Investig, 2019, 23(9):3557-3563.
[30] Gupta A, Gupta S, Mahdi AA. ¹H NMR-derived serum metabolomics of leukoplakia and squamous cell carcinoma[J]. Clin Chim Acta, 2015, 441: 47-55.
[31] Musharraf SG, Shahid N, Naqvi SMA, et al. Metabolite profiling of preneoplastic and neoplastic lesions of oral cavity tissue samples revealed a biomarker pattern [J]. Sci Rep, 2016, 6:38985.
[32] Song X, Yang X, Narayanan R, et al. Oral squamous cell carcinoma diagnosed from saliva metabolic profiling [J]. Proc Natl Acad Sci U S A, 2020, 117(28):16167-16173.
[33] Hsu CW, Chen YT, Hsieh YJ, et al. Integrated analyses utilizing metabolomics and transcriptomics reveal perturbation of the polyamine pathway in oral cavity squamous cell carcinoma [J]. Anal Chim Acta, 2019, 1050:113-122.
[34] Askari M, Darabi M, Zare Mahmudabadi R, et al. Tissue fatty acid composition and secretory phospholipase-A2 activity in oral squamous cell carcinoma [J]. Clin Transl Oncol, 2015, 17(5): 378-383.
[35] Yang XH, Zhang XX, Jing Y, et al. Amino acids signatures of distance-related surgical margins of oral squamous cell carcinoma [J]. EBioMedicine, 2019, 48:81-91.
[36] Yang X, Song X, Zhang X, et al. In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma [J]. EBioMedicine, 2021, 70:103529.
[37] Lonneux M, Hamoir M, Reychler H, et al. Positron emission tomography with [18F] fluorodeoxyglucose improves staging and patient management in patients with head and neck squamous cell carcinoma: a multicenter prospective study [J]. J Clin Oncol, 2010, 28(7):1190-1195.
[38] Zuo L, Chen Z, Chen L, et al. Integrative analysis of metabolomics and transcriptomics data identifies prognostic biomarkers associated with oral squamous cell carcinoma [J]. Front Oncol, 2021, 11:750794.
[39] Ye G, Liu Y, Yin P, et al. Study of induction chemotherapy efficacy in oral squamous cell carcinoma using pseudotargeted metabolomics [J]. J Proteome Res, 2014, 13(4):1994-2004.
[40] Tsai CK, Lin CY, Kang CJ, et al. Nuclear magnetic resonance metabolomics biomarkers for identifying high risk patients with extranodal extension in oral squamous cell carcinoma [J]. J Clin Med, 2020, 9(4):951.