Table_S1_Lai.docx (26.54 kB)

Table S1. The statistical difference of 28 miRNAs between 5 IDC pools and 3 HCs pools at the screening cohort

dataset

posted on 2021-07-23, 08:11 authored by Yongging Lai, Xuan Chen, Xinji Li, Jingyao Wang, Liwen Zhao, Xiqi Peng, Chunduo Zhang, Kaihao Liu, Guocheng Huang

Abstract:

Background: Breast cancer, especially invasive ductal carcinoma (IDC), is the cause of a great clinical burden. MicroRNA (miRNA) could be considered as a non-invasive biomarkers for IDC diagnosis.

Methods: 260 participants (135 IDC patients and 125 healthy controls (HCs)) were enrolled in a three-cohort study. The expression of 28 miRNAs in serum were detected with quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Bioinformatic analysis was used for predicting the target genes of 3 selected miRNAs..

Results: The expression level of 7 miRNAs (miR-9-5p, miR-34b-3p, miR-1-3p, miR-146a-5p, miR-20a-5p, miR-34a-5p, miR-125b-5p) were discrepant at the validation cohort. Through statistical test, a three-miRNA panel (miR-9-5p, miR-34b-3p, miR-146a-5p) was significant for IDC diagnosis (AUC=0.880, sensitivity = 86.25%, specificity = 81.25%).

Conclusion: The three-miRNA panel in serum could be used as a non-invasive biomarker in the diagnosis of IDC