|
1
|
Kandimalla R, Wang W, Yu F, Zhou N, Gao F, Spillman M, Moukova L, Slaby O, Salhia B, Zhou S, Wang X, Goel A. OCaMIR-A Noninvasive, Diagnostic Signature for Early-Stage Ovarian Cancer: A Multi-cohort Retrospective and Prospective Study. Clin Cancer Res 2021; 27:4277-4286. [PMID: 34035068 DOI: 10.1158/1078-0432.ccr-21-0267] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/08/2021] [Accepted: 05/17/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Due to the lack of effective screening approaches and early detection biomarkers, ovarian cancer has the highest mortality rates among gynecologic cancers. Herein, we undertook a systematic biomarker discovery and validation approach to identify microRNA (miRNA) biomarkers for the early detection of ovarian cancer. EXPERIMENTAL DESIGN During the discovery phase, we performed small RNA sequencing in stage I high-grade serous ovarian cancer (n = 31), which was subsequently validated in multiple, independent data sets (TCGA, n = 543; GSE65819, n = 87). Subsequently, we performed multivariate logistic regression-based training in a serum data set (GSE106817, n = 640), followed by its independent validation in three retrospective data sets (GSE31568, n = 85; GSE113486, n = 140; Czech Republic cohort, n = 192) and one prospective serum cohort (n = 95). In addition, we evaluated the specificity of OCaMIR, by comparing its performance in several other cancers (GSE31568 cohort, n = 369). RESULTS The OCaMIR demonstrated a robust diagnostic accuracy in the stage I high-grade serous ovarian cancer patients in the discovery cohort (AUC = 0.99), which was consistently reproducible in both stage I (AUC = 0.96) and all stage patients (AUC = 0.89) in the TCGA cohort. Logistic regression-based training and validation of OCaMIR achieved AUC values of 0.89 (GSE106817), 0.85 (GSE31568), 0.86 (GSE113486), and 0.82 (Czech Republic cohort) in the retrospective serum validation cohorts, as well as prospective validation cohort (AUC = 0.92). More importantly, OCaMIR demonstrated a significantly superior diagnostic performance compared with CA125 levels, even in stage I patients, and was more cost-effective, highlighting its potential role for screening and early detection of ovarian cancer. CONCLUSIONS Small RNA sequencing identified a robust noninvasive miRNA signature for early-stage serous ovarian cancer detection.
Collapse
Affiliation(s)
- Raju Kandimalla
- Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas
| | - Wei Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, P.R. China.,Department of Gynecology, Huzhou Maternity & Child Health Care Hospital, Huzhou, P.R. China
| | - Fan Yu
- Department of Laboratory Medicine, West China Second Hospital, Sichuan University, Chengdu, P.R. China
| | - Nianxin Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE & State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P.R. China
| | - Feng Gao
- The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China
| | - Monique Spillman
- Department of Obstetrics and Gynecology, Baylor University Medical Center, Dallas, Texas
| | - Lucie Moukova
- Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ondrej Slaby
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Bodour Salhia
- Department of Translational Genomics, University of Southern California, Los Angeles, California
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE & State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P.R. China.
| | - Xin Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, P.R. China. .,Shenzhen Research Institute, City University of Hong Kong, Shenzhen, P.R. China
| | - Ajay Goel
- Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas. .,Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Duarte, California
| |
Collapse
|