Your browser doesn't support javascript.
loading
Identifying High-Risk Triple-Negative Breast Cancer Patients by Molecular Subtyping.
Hartung, Carolin; Porsch, Martin; Stückrath, Kathrin; Kaufhold, Sandy; Staege, Martin S; Hanf, Volker; Lantzsch, Tilmann; Uleer, Christoph; Peschel, Susanne; John, Jutta; Pöhler, Marleen; Weigert, Edith; Buchmann, Jörg; Bürrig, Karl-Friedrich; Schüler, Kathleen; Bethmann, Daniel; Große, Ivo; Kantelhardt, Eva Johanna; Thomssen, Christoph; Vetter, Martina.
Afiliação
  • Hartung C; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Porsch M; Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Stückrath K; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Kaufhold S; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Staege MS; Department of Surgical and Conservative Pediatrics and Adolescent Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Hanf V; Department of Gynecology, Nathanstift, Hospital Fürth, Fürth, Germany.
  • Lantzsch T; Department of Gynecology, Hospital St. Elisabeth and St. Barbara, Halle (Saale), Germany.
  • Uleer C; Gynäkologisch-Onkologische Praxis, Hildesheim, Germany.
  • Peschel S; Department of Gynecology, St. Bernward Hospital, Hildesheim, Germany.
  • John J; Department of Gynecology, Helios Hospital Hildesheim, Hildesheim, Germany.
  • Pöhler M; Department of Gynecology, Asklepios Hospital Goslar, Goslar, Germany.
  • Weigert E; Institute of Pathology, Hospital Fürth, Fürth, Germany.
  • Buchmann J; Institute of Pathology, Hospital Martha-Maria, Halle (Saale), Germany.
  • Bürrig KF; Institute of Pathology Hildesheim, Hildesheim, Germany.
  • Schüler K; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Bethmann D; Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Große I; Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Kantelhardt EJ; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany.
  • Thomssen C; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Vetter M; Department of Gynecology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Breast Care (Basel) ; 16(6): 637-647, 2021 Dec.
Article em En | MEDLINE | ID: mdl-35082572
ABSTRACT

INTRODUCTION:

Triple-negative breast cancer (TNBC) is considered the most aggressive type of breast cancer (BC) with limited options for therapy. TNBC is a heterogeneous disease and tumors have been classified into TNBC subtypes using gene expression profiling to distinguish basal-like 1, basal-like 2, immunomodulatory, mesenchymal, mesenchymal stem-like, luminal androgen receptor (LAR), and one nonclassifiable group (called unstable).

OBJECTIVES:

The aim of this study was to verify the clinical relevance of molecular subtyping of TNBCs to improve the individual indication of systemic therapy. PATIENTS AND

METHODS:

Molecular subtyping was performed in 124 (82%) of 152 TNBC tumors that were obtained from a prospective, multicenter cohort including 1,270 histopathologically confirmed invasive, nonmetastatic BCs (NCT01592825). Treatment was guideline-based. TNBC subtypes were correlated with recurrence-free interval (RFI) and overall survival (OS) after 5 years of observation.

RESULTS:

Using PAM50 analysis, 87% of the tumors were typed as basal with an inferior clinical outcome compared to patients with nonbasal tumors. Using the TNBCtype-6 classifier, we identified 23 (15%) of TNBCs as LAR subtype. After standard adjuvant or neoadjuvant chemotherapy, patients with LAR subtype showed the most events for 5-year RFI (66.7 vs. 80.6%) and the poorest probability of 5-year OS (60.0 vs. 84.4%) compared to patients with non-LAR disease (RFI adjusted hazard ratio [aHR] = 1.87, 95% confidence interval [CI] 0.69-5.05, p = 0.211; OS aHR = 2.74, 95% CI 1.06-7.10, p = 0.037).

CONCLUSION:

Molecular analysis and subtyping of TNBC may be relevant to identify patients with LAR subtype. These cancers seem to be less sensitive to conventional chemotherapy, and new treatment options, including androgen receptor-blocking agents and immune checkpoint inhibitors, have to be explored.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Risk_factors_studies Idioma: En Revista: Breast Care (Basel) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Risk_factors_studies Idioma: En Revista: Breast Care (Basel) Ano de publicação: 2021 Tipo de documento: Article