Salivary protease spectrum biomarkers of oral cancer

Feng, Yun; Li, Qian; Jiao, Chen; Yi, Ping; Xu, Xin; Fan, Yujiang; Cui, Bomiao; Yu, Yu; Li, Xiaoying; Du, Ye; Chen, Qianming; Zhang, Lingling; Jiang, Jingjing; Zhou, Xuedong; Zhang, Ping

doi:10.1038/s41368-018-0032-z

Cited by 61 publications

(48 citation statements)

References 38 publications

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“…In addition to MMP-1, MMP-9 has also been suggested in several studies as a potential biomarker for OSCC [63][64][65][66][67]. Recently, Smriti et al used a commercial ELISA kit to evaluate salivary MMP-9 levels in 88 cases, including OSCC (n = 24), OPMD (n = 20), tobacco users (n = 22), and healthy controls (n = 22), collected from a hospital in India [66].…”

Section: Discussionmentioning

confidence: 99%

Verification of Saliva Matrix Metalloproteinase-1 as a Strong Diagnostic Marker of Oral Cavity Cancer

Chang

Chu

Liu

et al. 2020

Cancers

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Oral squamous cell carcinoma (OSCC) accounts for >90% of cases of oral cancer, including cancer at the lip and oral cavity and cancer at the oropharynx. Most OSCCs develop from oral potentially malignant disorders (OPMDs), which consist of heterogeneous lesions with different malignant transformation potentials that make early detection of OSCC a challenge. Using a targeted mass spectrometry-based assay to compare multiple candidate proteins, we previously identified matrix metalloproteinase-1 (MMP-1) as one of the most promising salivary OSCC biomarkers. To explore the clinical utility of MMP-1 in OSCC detection, we developed an in-house, sensitive enzyme-linked immunosorbent assay (ELISA) for measuring MMP-1 content, and tested it on saliva samples from 1160 subjects (313 healthy controls, and 578 OPMD and 269 OSCC patients) collected at two medical centers. Salivary MMP-1 levels measured by our in-house ELISA significantly discriminated OSCC patients from non-cancerous groups. A receiver operating characteristic curve analysis showed that MMP-1 was effective in separating non-cancer groups from patients with OSCCs at the oral cavity. Additionally, salivary MMP-1 levels in oral cavity cancer patients were highly correlated with tumor progression (tumor size, lymph node metastasis, and overall stage). Collectively, our results indicate that salivary MMP-1 is an effective biomarker for OSCC that can be sensitively detected using our newly developed ELISA. The newly developed MMP-1 ELISA may be used as a new adjunctive tool to aid in detecting and monitoring OSCC.

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Section: Discussionmentioning

confidence: 99%

Verification of Saliva Matrix Metalloproteinase-1 as a Strong Diagnostic Marker of Oral Cavity Cancer

Chang

Chu

Liu

et al. 2020

Cancers

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“…Given the AUC value, salivary MLT could present a satisfactory diagnostic tool for OSCC as a tumour biomarker alone or in along with some other molecules, such as kininogen 1, cathepsin V, kallikrein 5 or matrix metalloproteinase 1 [48][49][50]. However, larger prospective studies are needed to evaluate the clinical use of MLT as an OSCC biomarker.…”

Section: Discussionmentioning

confidence: 99%

Salivary Melatonin in Oral Squamous Cell Carcinoma Patients: A Cross-sectional Study

Salarić

Karmelić

Lovrić

et al. 2020

Preprint

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BACKGROUND: Around 55% of oral squamous cell carcinoma (OSCC) patients are diagnosed in the advanced stage. Poor sleep quality has been associated as a potential risk factor for several malignancies, including head and neck cancers. Melatonin’s role in circadian rhythm is well documented, as are its’ anti-oxidant, oncostatic and anti-inflammatory properties. The purpose of this study is to determine salivary melatonin (MLT) levels in OSCC patients, compare the salivary MLT levels with those in healthy individuals and compare the salivary and serum levels in OSCC patients. Furthermore, the aim is to evaluate sleep quality and to investigate the potential relationship between sleep quality and salivary MLT levels in OSCC patients. METHODS: Unstimulated and stimulated saliva were sampled from patients with T1N0M0 and T2N0M0 OSCC (N=34) and 33 sex and age matched healthy subjects. Serum samples were taken from 11 OSCC patients. Detailed medical history was taken before sampling and sleep quality measured using Pittsburgh Sleep Quality Index (PSQI) questionnaire. RESULTS: Melatonin levels in UWS and SWS were significantly higher in the OSCC group. Sleep quality was significantly lower in patients with OSCC (U=249.50; P = 0.0001). ROC analysis was found to be significant (P <0.001) in evaluating the MLT concentration limit in diagnosing OSCC. CONCLUSIONS: The expected relationship between sleep quality and salivary MLT levels in OSCC patients was not observed. Salivary melatonin could present a potential OSCC biomarker. However, larger prospective studies should validate the clinical utility of MLT as an OSCC biomarker.

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“… Elastic scattering spectroscopy biopsy Wavelength dependant light scattering Oral tissue NA 87.0 % Used in deciding the extent of surgical margins No secondary procedures Time-consuming Limited angular resolution - [ 25 ] 8. Enzyme assay ELISA Saliva Proteases NA Less sample volume Non-invasive Laborious method Lower accuracy 200-1000 [ 26 ] 9. Exfoliative biopsy Scraping and microscopic examination Oral epithelial cell linings Epidermal growth factor receptor (EGFR) 100 % Patient Compliant Low cost Minimal skills required Minimal instrumentation Chances of contamination and false-negative results Low sensitivity Inadequate sampling 600-2600 [ 27 , 28 ] 10.…”

Section: Techniques Used For Diagnosis Of Oral Cancermentioning

confidence: 99%

Oral cancer diagnosis and perspectives in India

Borse

Konwar

Buragohain

2020

Sensors International

230

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Globally, oral cancer is the sixth most common type of cancer with India contributing to almost one-third of the total burden and the second country having the highest number of oral cancer cases. Oral squamous cell carcinoma (OSCC) dominates all the oral cancer cases with potentially malignant disorders, which is also recognized as a detectable pre-clinical phase of oral cancer. Tobacco consumption including smokeless tobacco, betel-quid chewing, excessive alcohol consumption, unhygienic oral condition, and sustained viral infections that include the human papillomavirus are some of the risk aspects for the incidence of oral cancer. Lack of knowledge, variations in exposure to the environment, and behavioral risk factors indicate a wide variation in the global incidence and increases the mortality rate. This review describes various risk factors related to the occurrence of oral cancer, the statistics of the distribution of oral cancer in India by various virtues, and the socio-economic positions. The various conventional diagnostic techniques used routinely for detection of the oral cancer are discussed along with advanced techniques. This review also focusses on the novel techniques developed by Indian researchers that have huge potential for application in oral cancer diagnosis.

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Salivary protease spectrum biomarkers of oral cancer

Cited by 61 publications

References 38 publications

Verification of Saliva Matrix Metalloproteinase-1 as a Strong Diagnostic Marker of Oral Cavity Cancer

Verification of Saliva Matrix Metalloproteinase-1 as a Strong Diagnostic Marker of Oral Cavity Cancer

Salivary Melatonin in Oral Squamous Cell Carcinoma Patients: A Cross-sectional Study

Oral cancer diagnosis and perspectives in India

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