J 2024

Human Endogenous Retroviruses in Breast Cancer: Altered Expression Pattern Implicates Divergent Roles in Carcinogenesis

ZAVESKY, Ludek, Eva JANDÁKOVÁ, Vít WEINBERGER, Luboš MINÁŘ, Milada KOHOUTOVA et. al.

Basic information

Original name

Human Endogenous Retroviruses in Breast Cancer: Altered Expression Pattern Implicates Divergent Roles in Carcinogenesis

Authors

ZAVESKY, Ludek, Eva JANDÁKOVÁ, Vít WEINBERGER, Luboš MINÁŘ, Milada KOHOUTOVA and Ondrej SLANAR

Edition

Oncology, Basel, Karger, 2024, 0030-2414

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30204 Oncology

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.500 in 2022

Organization unit

Faculty of Medicine

UT WoS

001243070800001

Keywords in English

Breast cancer; Human endogenous retroviruses; ERVW-1; ERVFRD-1; ERVV-1; ERV3-1; ERVH48-1; ERVMER34-1; ERVK13-1; ERVK3-1; HCP5

Tags

International impact, Reviewed
Změněno: 2/7/2024 09:53, Mgr. Tereza Miškechová

Abstract

V originále

Introduction: Breast cancer is the most common cancer and the leading cause of cancer death in women. Recent research indicates that human endogenous retroviruses (HERVs) may be linked to carcinogenesis, but the data remain controversial. Methods: HERVs' expression was evaluated to show the differences between breast cancer and control samples, and their associations with clinicopathological parameters. Gene expression of 12 HERVs, i.e., ERVE-4, ERVW-1, ERVFRD-1, ERVV-1, ERV3-1, ERVH48-1, ERVMER34-1, ERVK-7, ERVK13-1, ERVK11-1, ERVK3-1, and HCP5, was analyzed by qPCR and/or TCGA datasets for breast cancer. Results: ERV3-1, ERVFRD-1, ERVH48-1, and ERVW-1 provided data to support their tumor suppressor roles in breast cancer. ERV3-1 evinced the best performing diagnostic data based on qPCR, i.e., AUC: 0.819 (p < 0.0001), sensitivity of 72.41%, and specificity of 89.66%. Lower levels of ERV3-1 were noted in advanced stage and higher grades, and significant negative association was found in relation to Ki-67 levels. Oncogenic roles may be inferred for ERVK13-1, ERVV-1, and ERVMER34-1. Data for ERVK-7, ERVE-4, ERVK11-1, and HCP5 remain inconclusive. Conclusion: Differential HERV expression may be applicable to evaluate novel biomarkers for breast cancer. However, more research is needed to reveal their real clinical impact, the biological roles, and regulatory mechanisms in breast carcinogenesis. (c) 2024 The Author(s).Published by S. Karger AG, Basel