Evaluation of Oral Potentially Malignant Disorders (OPMDs) with STRATICYTE™
Summary
The purpose of this study is to validate the ability of the STRATICYTE™ predictive model to predict the transformation of oral potentially malignant disorders (OPMDs) to oral squamous cell carcinoma (OSCC) in a retrospective cohort of patients who received biopsies.
Detailed description
The study objectives are to: 1. Evaluate STRATICYTE™ sensitivity and specificity in a cohort of patients that meet the inclusion/exclusion criteria. 2. Identify patient and clinical characteristics influencing the sensitivity and specificity of the STRATICYTE™ model. 3. Estimate the correlation between STRATICYTE™ outcome and time to a positive diagnosis of oral cancer.
Arms & interventions
- OtherSTRATICYTE™ Test
Assessment for risk of progression to oral cancer
Outcome measures
Primary
Sensitivity and Specificity
Standard measures of accuracy calculated using cross-tabulation of predicted risk category and confirmed cancer progression over a 5-year period from biopsy
Time frame: 5 years
Survival analysis
Kaplan-Meier analyses to compare time to a positive diagnosis of oral cancer between patients/biopsies with a STRATICYTE™ classification of Low- and Elevated-Risk.
Time frame: 5 years
Secondary
AUC
Time frame: 5 years
C-index (Harrell's)
Time frame: 5 years
Eligibility criteria
Study locations (5)
The University of Alabama at Birmingham
Birmingham, Alabama, 35233
Loma Linda University
Loma Linda, California, 92350
Minnesota Oral and Facial Surgery
Minneapolis, Minnesota, 55415
MD Anderson Cancer Cetner
Houston, Texas, 44907
UTHealth Houston School of Dentistry
Houston, Texas, 77054
References
- Hwang JTK, Dammling C, McCord C, McGuire T, Park EP, Filkowski J, Shaw E, McMullen S, Nwigwe A, Ekwaru JP, McGaw WT, Lung KE, Seikaly H, Renick B, Lin DM, Morlandt A, Pritzker KH, Darling MR. External Validation of Straticyte, a Quantitative Biomarker-Based Risk Assay in Predicting Oral Cancer. J Maxillofac Oral Surg. 2025 Oct;24(5):1351-1357. doi: 10.1007/s12663-024-02362-7. Epub 2024 Oct 29.(PubMed)
- Ralhan R, Desouza LV, Matta A, Tripathi SC, Ghanny S, Datta Gupta S, Bahadur S, Siu KW. Discovery and verification of head-and-neck cancer biomarkers by differential protein expression analysis using iTRAQ labeling, multidimensional liquid chromatography, and tandem mass spectrometry. Mol Cell Proteomics. 2008 Jun;7(6):1162-73. doi: 10.1074/mcp.M700500-MCP200. Epub 2008 Mar 13.(PubMed)
- Ralhan R, Desouza LV, Matta A, Tripathi SC, Ghanny S, Dattagupta S, Thakar A, Chauhan SS, Siu KW. iTRAQ-multidimensional liquid chromatography and tandem mass spectrometry-based identification of potential biomarkers of oral epithelial dysplasia and novel networks between inflammation and premalignancy. J Proteome Res. 2009 Jan;8(1):300-9. doi: 10.1021/pr800501j.(PubMed)
- Tripathi SC, Matta A, Kaur J, Grigull J, Chauhan SS, Thakar A, Shukla NK, Duggal R, DattaGupta S, Ralhan R, Siu KW. Nuclear S100A7 is associated with poor prognosis in head and neck cancer. PLoS One. 2010 Aug 3;5(8):e11939. doi: 10.1371/journal.pone.0011939.(PubMed)
- Kaur J, Matta A, Kak I, Srivastava G, Assi J, Leong I, Witterick I, Colgan TJ, Macmillan C, Siu KW, Walfish PG, Ralhan R. S100A7 overexpression is a predictive marker for high risk of malignant transformation in oral dysplasia. Int J Cancer. 2014 Mar 15;134(6):1379-88. doi: 10.1002/ijc.28473. Epub 2013 Oct 8.(PubMed)
- Hwang JT, Gu YR, Shen M, Ralhan R, Walfish PG, Pritzker KP, Mock D. Individualized five-year risk assessment for oral premalignant lesion progression to cancer. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017 Mar;123(3):374-381. doi: 10.1016/j.oooo.2016.11.004. Epub 2016 Nov 22.(PubMed)