International Journal of Molecular Sciences (Jul 2024)

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

  • Miguel González-Woge,
  • Laura Contreras-Espinosa,
  • José Antonio García-Gordillo,
  • Sergio Aguilar-Villanueva,
  • Enrique Bargallo-Rocha,
  • Paula Cabrera-Galeana,
  • Tania Vasquez-Mata,
  • Ximena Cervantes-López,
  • Diana Sofía Vargas-Lías,
  • Rogelio Montiel-Manríquez,
  • Luis Bautista-Hinojosa,
  • Rosa Rebollar-Vega,
  • Clementina Castro-Hernández,
  • Rosa María Álvarez-Gómez,
  • Inti Alberto De La Rosa-Velázquez,
  • José Díaz-Chávez,
  • Francisco Jiménez-Trejo,
  • Cristian Arriaga-Canon,
  • Luis Alonso Herrera

DOI
https://doi.org/10.3390/ijms25158077
Journal volume & issue
Vol. 25, no. 15
p. 8077

Abstract

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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.

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