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@article{1836781,
author = {Kandimalla, R. and Wang, W. and Yu, F. and Zhou, N. X. and Gao, F. and Spillman, M. and Mouková, Lucie and Slabý, Ondřej and Salhia, B. and Zhou, S. T. and Wang, X. and Goel, A.},
article_location = {Philadelphia},
article_number = {15},
doi = {http://dx.doi.org/10.1158/1078-0432.CCR-21-0267},
keywords = {OCaMIR; Early-Stage Ovarian Cancer},
language = {eng},
issn = {1078-0432},
journal = {Clinical cancer research},
title = {OCaMIR-A Noninvasive, Diagnostic Signature for Early-Stage Ovarian Cancer: A Multi-cohort Retrospective and Prospective Study},
url = {https://aacrjournals.org/clincancerres/article/27/15/4277/671554/OCaMIR-A-Noninvasive-Diagnostic-Signature-for},
volume = {27},
year = {2021}
}
TY - JOUR
ID - 1836781
AU - Kandimalla, R. - Wang, W. - Yu, F. - Zhou, N. X. - Gao, F. - Spillman, M. - Mouková, Lucie - Slabý, Ondřej - Salhia, B. - Zhou, S. T. - Wang, X. - Goel, A.
PY - 2021
TI - OCaMIR-A Noninvasive, Diagnostic Signature for Early-Stage Ovarian Cancer: A Multi-cohort Retrospective and Prospective Study
JF - Clinical cancer research
VL - 27
IS - 15
SP - 4277-4286
EP - 4277-4286
PB - AMER ASSOC CANCER RESEARCH
SN - 10780432
KW - OCaMIR
KW - Early-Stage Ovarian Cancer
UR - https://aacrjournals.org/clincancerres/article/27/15/4277/671554/OCaMIR-A-Noninvasive-Diagnostic-Signature-for
N2 - 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 microRN A (mi RNA) 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 regressionbased 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 OCalvIIR 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 ] (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.
ER -
KANDIMALLA, R., W. WANG, F. YU, N. X. ZHOU, F. GAO, M. SPILLMAN, Lucie MOUKOVÁ, Ondřej SLABÝ, B. SALHIA, S. T. ZHOU, X. WANG and A. GOEL. OCaMIR-A Noninvasive, Diagnostic Signature for Early-Stage Ovarian Cancer: A Multi-cohort Retrospective and Prospective Study. \textit{Clinical cancer research}. Philadelphia: AMER ASSOC CANCER RESEARCH, 2021, vol.~27, No~15, p.~4277-4286. ISSN~1078-0432. Available from: https://dx.doi.org/10.1158/1078-0432.CCR-21-0267.
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