Literature DB >> 28474731

A New Gene Expression Signature for Triple Negative Breast Cancer Using Frozen Fresh Tissue before Neoadjuvant Chemotherapy.

Sandra Karina Santuario-Facio1,2, Servando Cardona-Huerta3, Yadira Xitlalli Perez-Paramo4, Victor Trevino5, Francisco Hernandez-Cabrera6, Augusto Rojas-Martinez2,1, Grecia Uscanga-Perales7, Jorge Luis Martinez-Rodriguez8,3, Lizeth Martinez-Jacobo7, Gerardo Padilla-Rivas7, Gerardo Muñoz-Maldonado9, Juan Francisco Gonzalez-Guerrero8, Javier Valero-Gomez3, Ana Lorena Vazquez-Guerrero3, Herminia Guadalupe Martinez-Rodriguez7, Alvaro Barboza-Quintana3, Oralia Barboza-Quintana10, Raquel Garza-Guajardo10, Rocio Ortiz-Lopez2,1.   

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer tumors. Comparisons between TNBC and non-triple negative breast cancer (nTNBC) may help to differentiate key components involved in TNBC neoplasms. The purpose of the study was to analyze the expression profile of TNBC versus nTNBC tumors in a homogeneous population from northeastern Mexico. A prospective study of 50 patients was conducted (25 TNBC and 25 nTNBC). Clinic parameters were equally distributed for TNBC and nTNBC: age at diagnosis (51 vs 47 years, p=0.1), glucose levels (107 mg/dl vs 104 mg/dl, p=0.64), and body mass index (28 vs 29, p=0.14), respectively. Core biopsies were collected for histopathological diagnosis and gene expression analyses. Total RNA was isolated and expression profiling was performed. 40 genes showed differential expression pattern in TNBC tumors. Among these, 9 over-expressed genes (PRKX/PRKY, UGT8, HMGA1, LPIN1, HAPLN3, and ANKRD11), and one under-expressed (ANX9) gene are involved in general metabolism. Based on this biochemical peculiarity, and the over-expression of BCL11A and FOXC1 (involved in tumor growth and metastasis, respectively) we validated by qPCR the expression profile of 7 genes out of the signature. In this report, a new gene signature for TNBC is proposed. To our knowledge, this is the first TNBC signature which describes genes involved in general metabolism. The findings may be pertinent for Mexican patients and require to be evaluated in further ethnic groups and populations.

Entities:  

Keywords:  Gene signature; Mexico; Obesity; Triple negative breast cancer; metabolism

Mesh:

Year:  2017        PMID: 28474731      PMCID: PMC5469719          DOI: 10.2119/molmed.2016.00257

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  36 in total

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2.  Genes associated with breast cancer metastatic to bone.

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Journal:  Oncogene       Date:  2011-11-28       Impact factor: 9.867

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Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

5.  HMGA1: a master regulator of tumor progression in triple-negative breast cancer cells.

Authors:  Sandeep N Shah; Leslie Cope; Weijie Poh; Amy Belton; Sujayita Roy; C Conover Talbot; Saraswati Sukumar; David L Huso; Linda M S Resar
Journal:  PLoS One       Date:  2013-05-02       Impact factor: 3.240

6.  Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures.

Authors:  Thomas Karn; Lajos Pusztai; Uwe Holtrich; Takayuki Iwamoto; Christine Y Shiang; Marcus Schmidt; Volkmar Müller; Christine Solbach; Regine Gaetje; Lars Hanker; Andre Ahr; Cornelia Liedtke; Eugen Ruckhäberle; Manfred Kaufmann; Achim Rody
Journal:  PLoS One       Date:  2011-12-29       Impact factor: 3.240

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Authors:  Tomasz B Owczarek; Jarosław Suchanski; Bartosz Pula; Alicja M Kmiecik; Marek Chadalski; Aleksandra Jethon; Piotr Dziegiel; Maciej Ugorski
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

9.  Integrated microRNA and mRNA signatures associated with survival in triple negative breast cancer.

Authors:  Luciano Cascione; Pierluigi Gasparini; Francesca Lovat; Stefania Carasi; Alfredo Pulvirenti; Alfredo Ferro; Hansjuerg Alder; Gang He; Andrea Vecchione; Carlo M Croce; Charles L Shapiro; Kay Huebner
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

10.  The Insulin-like Growth Factor Axis, Adipokines, Physical Activity, and Obesity in Relation to Breast Cancer Incidence and Recurrence.

Authors:  Steven S Coughlin; Selina A Smith
Journal:  Cancer Clin Oncol       Date:  2015
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  18 in total

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Review 2.  Lipin-1, a Versatile Regulator of Lipid Homeostasis, Is a Potential Target for Fighting Cancer.

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4.  Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration.

Authors:  Thilde Terkelsen; Francesco Russo; Pavel Gromov; Vilde Drageset Haakensen; Søren Brunak; Irina Gromova; Anders Krogh; Elena Papaleo
Journal:  Breast Cancer Res       Date:  2020-06-30       Impact factor: 6.466

5.  Statistical representation models for mutation information within genomic data.

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6.  A Predictor of Pathological Complete Response to Neoadjuvant Chemotherapy Stratifies Triple Negative Breast Cancer Patients with High Risk of Recurrence.

Authors:  Marcia V Fournier; Edward C Goodwin; Joan Chen; John C Obenauer; Susan H Tannenbaum; Adam M Brufsky
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Journal:  Blood       Date:  2021-04-29       Impact factor: 25.476

8.  Ensemble outlier detection and gene selection in triple-negative breast cancer data.

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Journal:  BMC Bioinformatics       Date:  2018-05-04       Impact factor: 3.169

9.  Trimodal distribution of arylamine N-acetyltransferase 1 mRNA in breast cancer tumors: association with overall survival and drug resistance.

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Journal:  BMC Genomics       Date:  2018-07-03       Impact factor: 3.969

10.  Transcriptome Analysis Reveals MFGE8-HAPLN3 Fusion as a Novel Biomarker in Triple-Negative Breast Cancer.

Authors:  Meng-Yuan Wang; Man Huang; Chao-Yi Wang; Xiao-Ying Tang; Jian-Gen Wang; Yong-De Yang; Xin Xiong; Chao-Wei Gao
Journal:  Front Oncol       Date:  2021-06-15       Impact factor: 6.244

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