High-performance methylated DNA markers for the detection of cervical lesions at risk of malignant progression in low- and middle-income countries

Author:

Fackler Mary Jo1,Pleas Madison1,Li Youran1,Soni Anushri1,Xing Deyin1,Cope Leslie1,Ali Syed1,Le Quang Van2,Nguyen Chu Van3,Pham Han Thi3,Duong Long Minh3,Berg Eunice Van Den4,Wadee Reubina4,Michelow Pamela4,Chen Wenlong Carl5,Joffe Maureen5,Fjeldbo Christina Santen6,Lyng Hiedi7,Sukumar Saraswati1

Affiliation:

1. Johns Hopkins University School of Medicine

2. Hanoi Medical University, National Cancer Hospital

3. National Cancer Hospital

4. University of the Witwatersrand, National Health Laboratory Service

5. University of the Witwatersrand

6. University of Oslo

7. Norwegian Radium Hospital, Oslo University Hospital

Abstract

Abstract Background Cervical cancer remains a leading cause of death, particularly in developing countries. WHO screening guidelines recommend Human Papilloma Virus (HPV) detection as a means to identify women at risk of developing cervical cancer. While HPV testing identifies those at risk, it does not specifically recognize individuals with neoplasia. We investigated whether a molecular test that quantitatively measures methylated DNA markers could identify high-risk lesions in the cervix with accuracy. Results Marker discovery was performed in TCGA-CESC Infinium Methylation 450K Array database, and the selected 5-gene panel was verified in three other public datasets. The panel was technically validated using Quantitative Multiplex-Methylation Specific PCR (QM-MSP) in tissue sections (N = 293) and cervical smears (N = 244) from the U. S., S. Africa, and Vietnam. The gene panel consisted of FMN2, EDNRB, ZNF671, TBXT, and MOS. Cervical tissue samples from U.S., South Africa, and Vietnam showed highly significant differential methylation in squamous cell carcinoma (SCC) with 100% sensitivity, 91–93% specificity, and a Receiver Operating Characteristic Area under the curve (ROC AUC) = 1.000 [CI 1.000 to 1.000], and cervical intraepithelial neoplasia 2/3 (CIN2/3) with 55–100% sensitivity, 91–96% specificity, and a ROC AUC ranging from 0.793 [CI 0.681 to 0.905] to 1.000 [CI 1.000 to 1.000] compared to normal. In cervical smears, the marker panel detected SCC at 87% sensitivity, 95% specificity, and ROC AUC = 0.925 [CI 0.878 to 0.974], and high-grade intraepithelial lesion (HSIL) at 74% sensitivity, 95% specificity, and a ROC AUC = 0.907 [CI 0.851 to 0.964] in an analysis of pooled data from the three countries. Similar to HPV-positive, HPV-negative cervical carcinomas were frequently hypermethylated for these markers. Conclusions This 5-marker panel detected SCC and CIN2/3 in cervical smears with a high level of sensitivity and specificity. Molecular tests with the ability to rapidly detect high-risk CIN3 + lesions will lead to timely treatment for those in need while preventing unnecessary procedures in women with low-risk lesions throughout the world. Validation of these markers in prospectively collected cervical smear cells followed by the development of a hypermethylated marker-based cervical cancer detection test is warranted.

Publisher

Research Square Platform LLC

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