Login / Signup

The Expression Profiles of lncRNAs Are Associated with Neoadjuvant Chemotherapy Resistance in Locally Advanced, Luminal B-Type Breast Cancer.

Miguel A Gonzalez-WogeLaura Contreras-EspinosaJosé Antonio García-GordilloSergio Aguilar-VillanuevaEnrique Bargallo-RochaPaula Cabrera-GaleanaTania Vasquez-MataXimena Cervantes-LópezDiana Sofía Vargas-LíasRogelio Montiel-ManríquezLuis Bautista-HinojosaRosa G Rebollar-VegaClementina Castro-HernándezRosa María Álvarez-GómezInti Alberto De La Rosa-VelázquezJose Diaz-ChavezFrancisco Jiménez-TrejoCristian Arriaga-CanonLuis Alonso Herrera-Montalvo
Published in: International journal of molecular sciences (2024)
lncRNAs are noncoding transcripts with tissue and cancer specificity. Particularly, in breast cancer, lncRNAs exhibit subtype-specific expression; they are particularly upregulated in luminal tumors. However, no gene signature-based laboratory tests have been developed for luminal breast cancer identification or the differential diagnosis of luminal tumors, since no luminal A- or B-specific genes have been identified. Particularly, luminal B patients are of clinical interest, since they have the most variable response to neoadjuvant treatment; thus, it is necessary to develop diagnostic and predictive biomarkers for these patients to optimize treatment decision-making and improve treatment quality. In this study, we analyzed the lncRNA expression profiles of breast cancer cell lines and patient tumor samples from RNA-Seq data to identify an lncRNA signature specific for luminal phenotypes. We identified an lncRNA signature consisting of LINC01016, GATA3-AS1, MAPT-IT1, and DSCAM-AS1 that exhibits luminal subtype-specific expression; among these lncRNAs, GATA3-AS1 is associated with the presence of residual disease (Wilcoxon test, p < 0.05), which is related to neoadjuvant chemotherapy resistance in luminal B breast cancer patients. Furthermore, analysis of GATA3-AS1 expression using RNA in situ hybridization (RNA ISH) demonstrated that this lncRNA is detectable in histological slides. Similar to estrogen receptors and Ki67, both commonly detected biomarkers, GATA3-AS1 proves to be a suitable predictive biomarker for clinical application in breast cancer laboratory tests.
Keyphrases