iTRAQ-Based Quantitative Proteomic Analysis Strengthens Transcriptomic Subtyping of Triple-Negative Breast Cancer Tumors.

Autor: Jézéquel P; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; Unité Mixte de Génomique du Cancer, Institut de Cancérologie de l'Ouest - René Gauducheau, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; INSERM U1232, 44007, Nantes Cedex, France.; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France., Guette C; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France.; Institut de Cancérologie de l'Ouest-Paul Papin, 49055, Angers Cedex, France., Lasla H; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France., Gouraud W; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; Unité Mixte de Génomique du Cancer, Institut de Cancérologie de l'Ouest - René Gauducheau, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France., Boissard A; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France.; Institut de Cancérologie de l'Ouest-Paul Papin, 49055, Angers Cedex, France., Guérin-Charbonnel C; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; Unité Mixte de Génomique du Cancer, Institut de Cancérologie de l'Ouest - René Gauducheau, Bd Jacques Monod, 44805, Saint Herblain Cedex, France.; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France., Campone M; INSERM U1232, 44007, Nantes Cedex, France.; SIRIC ILIAD, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France.; Oncologie Médicale, Institut de Cancérologie de l'Ouest-René Gauducheau, 44805, Saint Herblain Cedex, France.
Jazyk: angličtina
Zdroj: Proteomics [Proteomics] 2019 Nov; Vol. 19 (21-22), pp. e1800484. Date of Electronic Publication: 2019 May 07.
DOI: 10.1002/pmic.201800484
Abstrakt: Heterogeneity and lack of targeted therapies represent the two main impediments to precision treatment of triple-negative breast cancer (TNBC). Therefore, molecular subtyping and identification of therapeutic pathways are required to optimize medical care. The aim of the present study is to define robust TNBC subtypes with clinical relevance by means of proteomics and transcriptomics. As a first step, unsupervised analyses are conducted in parallel on proteomics and transcriptomics data of 83 TNBC tumors. Proteomics data unsupervised analysis did not permit separation of TNBC into different subtypes, whereas transcriptomics data are able to clearly and robustly identify three subtypes: molecular apocrine (C1), basal-like immune-suppressed (C2), and basal-like immune response (C3). Supervised analysis of proteomics data are then conducted based on transcriptomics subtyping. Thirty out of 62 proteins differentially expressed between C1, C2, and C3 belonged to biological categories which characterized these TNBC clusters: luminal and androgen-regulated proteins (C1), basal, invasion, and extracellular matrix (C2), and basal and immune response (interferon pathway and immunoglobulins) (C3). Although proteomics unsupervised analysis of TNBC tumors is unsuccessful at identifying clusters, the integrated approach is promising. Identification and measurement of 30 proteins strengthen subtyping of TNBC based on robust transcriptomics unsupervised analysis.
(© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Databáze: MEDLINE
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