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.

Základní údaje

Originální název

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

Autoři

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

Vydání

Oncology, Basel, Karger, 2024, 0030-2414

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30204 Oncology

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 3.500 v roce 2022

Organizační jednotka

Lékařská fakulta

UT WoS

001243070800001

Klíčová slova anglicky

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

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 2. 7. 2024 09:53, Mgr. Tereza Miškechová

Anotace

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