Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identification of MicroRNAs Associated with Histological Grade in Early-Stage Invasive Breast Cancer

Sasagu Kurozumi
* ,
Naohiko Seki
ORCID logo ,
Eriko Narusawa
,
Chikako Honda
,
Shoko Tokuda
,
Yuko Nakazawa
,
Takehiko Yokobori
ORCID logo ,
Ayaka Katayama
,
Nigel P Mongan
ORCID logo ,
Emad A Rakha
,
Tetsunari Oyama
,
Takaaki Fujii
,
Ken Shirabe
,
Jun Horiguchi
Version 1 : Received: 23 November 2023 / Approved: 23 November 2023 / Online: 23 November 2023 (14:29:39 CET)

A peer-reviewed article of this Preprint also exists.

Kurozumi, S.; Seki, N.; Narusawa, E.; Honda, C.; Tokuda, S.; Nakazawa, Y.; Yokobori, T.; Katayama, A.; Mongan, N.P.; Rakha, E.A.; Oyama, T.; Fujii, T.; Shirabe, K.; Horiguchi, J. Identification of MicroRNAs Associated with Histological Grade in Early-Stage Invasive Breast Cancer. Int. J. Mol. Sci. 2024, 25, 35. Kurozumi, S.; Seki, N.; Narusawa, E.; Honda, C.; Tokuda, S.; Nakazawa, Y.; Yokobori, T.; Katayama, A.; Mongan, N.P.; Rakha, E.A.; Oyama, T.; Fujii, T.; Shirabe, K.; Horiguchi, J. Identification of MicroRNAs Associated with Histological Grade in Early-Stage Invasive Breast Cancer. Int. J. Mol. Sci. 2024, 25, 35.

Abstract

This study aimed to identify microRNAs associated with histological grade using comprehensive microRNA analysis data obtained by next-generation sequencing in early-stage invasive breast cancer. RNA-seq data from normal breast and breast cancer samples were compared to identify candidate microRNAs with different expressions using bioinformatics. A total of 108 microRNAs were significantly differentially expressed between normal breast and breast cancer tissues. Using clinicopathological information and microRNA sequencing data of 430 patients with breast cancer from The Cancer Genome Atlas (TCGA), the differences in candidate microRNAs between low- and high-grade cases were compared. Comparing the expression of the 108 microRNAs between low- and high-grade cases, 25 and 18 microRNAs were significantly upregulated and downregulated, respectively, in high-grade cases. Clustering analysis of the TCGA cohort using these 43 microRNAs identified two groups strongly predictive of histological grade. miR-3677 is a microRNA upregulated in high-grade breast cancer. The outcome analysis revealed that patients with high miR-3677 expression had a significantly worse prognosis than those with low miR-3677 expression. This study showed that microRNAs were associated with histological grade in early-stage invasive breast cancer. These findings contribute to the elucidation of a new mechanism of breast cancer growth regulated by specific microRNAs.

Keywords

invasive breast cancer; histological grade; microRNA

Subject

Medicine and Pharmacology, Oncology and Oncogenics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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