Literature DB >> 23436753

Shotgun proteomics of archival triple-negative breast cancer samples.

Angelo Gámez-Pozo1, Nuria Ibarz Ferrer, Eva Ciruelos, Rocío López-Vacas, Fernando García Martínez, Enrique Espinosa, Juan Ángel Fresno Vara.   

Abstract

PURPOSE: Triple-negative breast cancer (TNBC) accounts for 15-20% of all breast cancers, and has a worse prognosis compared with hormone receptor-positive disease. Its unfavorable outcome and the lack of hormonal receptors determine the use of adjuvant chemotherapy as part of the standard treatment for these tumors, although several studies have documented that the current standard combination chemotherapy is suboptimal. Therefore, a new functional taxonomy of breast cancer and new targets for therapeutic development are urgently needed. EXPERIMENTAL
DESIGN: In this study, we have analyzed the proteome of TNBC applying a high-throughput proteomics approach to routinely archived formalin-fixed, paraffin-embedded tumor tissues.
RESULTS: We have been able to identify and quantify more than 1000 protein groups. Some of these proteins are of outstanding interest in the biology and clinical management of this disease, such as CD44 and PARP1. Moreover, we have characterized some signaling pathways that could be related to TNBC genesis and development. CONCLUSION AND CLINICAL RELEVANCE: Our results open up new avenues for the use of proteomics technologies in clinically relevant studies using archival samples. Shotgun LC-MS/MS studies could serve to discover new biomarkers and may provide clues to the genesis of TNBC and underlying molecular alterations.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23436753     DOI: 10.1002/prca.201200048

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  12 in total

1.  Genetic Profile and Functional Proteomics of Anal Squamous Cell Carcinoma: Proposal for a Molecular Classification.

Authors:  Lucía Trilla-Fuertes; Ismael Ghanem; Angelo Gámez-Pozo; Joan Maurel; Laura G-Pastrián; Marta Mendiola; Cristina Peña; Rocío López-Vacas; Guillermo Prado-Vázquez; Elena López-Camacho; Andrea Zapater-Moros; Victoria Heredia; Miriam Cuatrecasas; Pilar García-Alfonso; Jaume Capdevila; Carles Conill; Rocío García-Carbonero; Ricardo Ramos-Ruiz; Claudia Fortes; Carlos Llorens; Paolo Nanni; Juan Ángel Fresno Vara; Jaime Feliu
Journal:  Mol Cell Proteomics       Date:  2020-02-27       Impact factor: 5.911

2.  Prediction of Recurrence and Survival for Triple-Negative Breast Cancer (TNBC) by a Protein Signature in Tissue Samples.

Authors:  Mario Campone; Isabelle Valo; Pascal Jézéquel; Marie Moreau; Alice Boissard; Loic Campion; Delphine Loussouarn; Véronique Verriele; Olivier Coqueret; Catherine Guette
Journal:  Mol Cell Proteomics       Date:  2015-07-24       Impact factor: 7.381

3.  Combined phosphoproteomics and bioinformatics strategy in deciphering drug resistant related pathways in triple negative breast cancer.

Authors:  Xinyu Deng; Morris Kohanfars; Huan Ming Hsu; Puneet Souda; Joe Capri; Julian P Whitelegge; Helena R Chang
Journal:  Int J Proteomics       Date:  2014-11-13

4.  Prediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics.

Authors:  Angelo Gámez-Pozo; Lucía Trilla-Fuertes; Guillermo Prado-Vázquez; Cristina Chiva; Rocío López-Vacas; Paolo Nanni; Julia Berges-Soria; Jonas Grossmann; Mariana Díaz-Almirón; Eva Ciruelos; Eduard Sabidó; Enrique Espinosa; Juan Ángel Fresno Vara
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

5.  Quantitative proteomic analysis of formalin-fixed, paraffin-embedded clear cell renal cell carcinoma tissue using stable isotopic dimethylation of primary amines.

Authors:  J Weißer; Z W Lai; P Bronsert; M Kuehs; V Drendel; S Timme; S Kuesters; C A Jilg; U F Wellner; S Lassmann; M Werner; M L Biniossek; O Schilling
Journal:  BMC Genomics       Date:  2015-07-29       Impact factor: 3.969

6.  Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.

Authors:  Jürgen Cox; Marco Y Hein; Christian A Luber; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-06-17       Impact factor: 5.911

7.  Critical comparison of sample preparation strategies for shotgun proteomic analysis of formalin-fixed, paraffin-embedded samples: insights from liver tissue.

Authors:  Alessandro Tanca; Marcello Abbondio; Salvatore Pisanu; Daniela Pagnozzi; Sergio Uzzau; Maria Filippa Addis
Journal:  Clin Proteomics       Date:  2014-07-08       Impact factor: 3.988

8.  Urothelial cancer proteomics provides both prognostic and functional information.

Authors:  Guillermo de Velasco; Lucia Trilla-Fuertes; Angelo Gamez-Pozo; Maria Urbanowicz; Gustavo Ruiz-Ares; Juan M Sepúlveda; Guillermo Prado-Vazquez; Jorge M Arevalillo; Andrea Zapater-Moros; Hilario Navarro; Rocio Lopez-Vacas; Ray Manneh; Irene Otero; Felipe Villacampa; Jesus M Paramio; Juan Angel Fresno Vara; Daniel Castellano
Journal:  Sci Rep       Date:  2017-11-17       Impact factor: 4.379

9.  Functional proteomics outlines the complexity of breast cancer molecular subtypes.

Authors:  Angelo Gámez-Pozo; Lucía Trilla-Fuertes; Julia Berges-Soria; Nathalie Selevsek; Rocío López-Vacas; Mariana Díaz-Almirón; Paolo Nanni; Jorge M Arevalillo; Hilario Navarro; Jonas Grossmann; Francisco Gayá Moreno; Rubén Gómez Rioja; Guillermo Prado-Vázquez; Andrea Zapater-Moros; Paloma Main; Jaime Feliú; Purificación Martínez Del Prado; Pilar Zamora; Eva Ciruelos; Enrique Espinosa; Juan Ángel Fresno Vara
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

10.  Evaluation of Protein Purification Techniques and Effects of Storage Duration on LC-MS/MS Analysis of Archived FFPE Human CRC Tissues.

Authors:  Sophia C Rossouw; Hocine Bendou; Renette J Blignaut; Liam Bell; Jonathan Rigby; Alan Christoffels
Journal:  Pathol Oncol Res       Date:  2021-05-03       Impact factor: 3.201

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