Journal of Personalized Medicine (Feb 2022)

MicroRNAs as Predictors of Future Uterine Malignancy in Endometrial Hyperplasia without Atypia

  • Chiao-Yun Lin,
  • Ren-Chin Wu,
  • Lan-Yan Yang,
  • Shih-Ming Jung,
  • Shir-Hwa Ueng,
  • Yun-Hsin Tang,
  • Huei-Jean Huang,
  • Hsiu-Jung Tung,
  • Cheng-Tao Lin,
  • Hsuan-Yu Chen,
  • Angel Chao,
  • Chyong-Huey Lai

DOI
https://doi.org/10.3390/jpm12020311
Journal volume & issue
Vol. 12, no. 2
p. 311

Abstract

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The histological criteria for classifying endometrial hyperplasia (EH) are based on architectural crowding and nuclear atypia; however, diagnostic agreement among pathologists is poor. We investigated molecular biomarkers of endometrial cancer (EC) risk in women with simple hyperplasia or complex hyperplasia without atypia (SH/CH-nonA). Forty-nine patients with EC preceded by SH/CH-nonA were identified, of which 23 were excluded (15 with complex atypical hyperplasia (CAH), six not consenting, one with a diagnosis p 4) between the control (n = 12) and case (n = 6) patients. Multiplex RT-qPCR for the 20 miRNAs in the expanded cohort (94 control and 25 case patients) led to the validation of miR-30a-3p (p = 0.0009), miR-141 (p p p p < 0.001, Fisher’s exact test). A combination of complete PTEN loss and miR-200a provided optimal prediction performance (sensitivity = 0.760; specificity = 1.000; positive predictive value = 1.000; negative predictive value = 0.937; accuracy = 0.947). MiR-30a-3p, miR-141, miR-200a, miR-200b, and complete PTEN loss may be useful tissue biomarkers for predicting EC risk among patients with SH/CH-nonA.

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