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A hedgehog pathway-dependent gene signature is associated with poor clinical outcomes in Luminal A breast cancer.
Rudolph, M; Sizemore, S T; Lu, Y; Teng, K Y; Basree, M M; Reinbolt, R; Timmers, C D; Leone, G; Ostrowski, M C; Majumder, S; Ramaswamy, B.
Afiliación
  • Rudolph M; Division of Medical Oncology, The Ohio State University, Columbus, OH, USA.
  • Sizemore ST; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Lu Y; Department of Radiation Oncology, The Ohio State University, Columbus, OH, USA.
  • Teng KY; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Basree MM; Department of Pathology, Jinan University, Guangzhou, China.
  • Reinbolt R; Department of Pathology, The Ohio State University, Columbus, OH, USA.
  • Timmers CD; University of Pikeville Kentucky College of Osteopathic Medicine, Pikeville, KY, USA.
  • Leone G; Department of Internal Medicine, The Ohio State University, Columbus, OH, USA.
  • Ostrowski MC; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Majumder S; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Ramaswamy B; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
Breast Cancer Res Treat ; 169(3): 457-467, 2018 Jun.
Article en En | MEDLINE | ID: mdl-29464534
ABSTRACT

PURPOSE:

High expression of glioma-associated oncogene homolog-1 (GLI1) is associated with poor prognosis in estrogen receptor (ER) positive breast cancers. We sought to define a GLI1-dependent gene signature in ER-positive tumors that could further stratify patients at higher risk for disease recurrence and potentially lead to novel combination therapies.

METHODS:

We identified an inverse correlation between GLI1 expression and distant disease-free survival (DFS) using a dataset developed at MD Anderson Cancer Center (Hatzis dataset) containing clinical data from 508 breast cancer patients. Using a qPCR-based microarray platform, we identified genes differentially regulated by GLI1 in MCF7 cells and then determined if expression of these genes correlated with GLI1 expression in patient tumor samples. Statistical comparison between the groups was performed by ANOVA. Direct comparison of two groups was done by a two-tailed t test. Correlations between variables were done by Pearson's method.

RESULTS:

Expression of GLI1 and its target genes correlated significantly with worse distant DFS in breast cancer patients with Luminal A molecular subtype. Particularly, co-expression of GLI1 with EGFR and/or SNAI1, two of the identified GLI1 targets, was predictive of worse distant DFS in this subtype. Furthermore, patients with Luminal A tumors with a high GLI1 signature had a shorter distant DFS compared to the Luminal B subtype and the outcome for this group was comparable to patients with HER2-positive or basal-like tumors.

CONCLUSION:

We have identified a novel GLI1 gene signature that is associated with worse clinical outcomes among the patients with Luminal A subtype of breast cancer.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Transducción de Señal / Regulación Neoplásica de la Expresión Génica / Proteínas Hedgehog Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Transducción de Señal / Regulación Neoplásica de la Expresión Génica / Proteínas Hedgehog Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Año: 2018 Tipo del documento: Article