Literature DB >> 28216224

Targeted proteomics driven verification of biomarker candidates associated with breast cancer aggressiveness.

Iva Procházková1, Juraj Lenčo2, Alena Fučíková2, Jiří Dresler3, Lenka Čápková1, Roman Hrstka4, Rudolf Nenutil4, Pavel Bouchal5.   

Abstract

Breast cancer is the most common and molecularly relatively well characterized malignant disease in women, however, its progression to metastatic cancer remains lethal for 78% of patients 5years after diagnosis. Novel markers could identify the high risk patients and their verification using quantitative methods is essential to overcome genetic, inter-tumor and intra-tumor variability and translate novel findings into cancer diagnosis and treatment. We recently identified 13 proteins associated with estrogen receptor, tumor grade and lymph node status, the key factors of breast cancer aggressiveness, using untargeted proteomics. Here we verified these findings in the same set of 96 tumors using targeted proteomics based on selected reaction monitoring with mTRAQ labeling (mTRAQ-SRM), transcriptomics and immunohistochemistry and validated in 5 independent sets of 715 patients using transcriptomics. We confirmed: (i) positive association of anterior gradient protein 2 homolog (AGR2) and periostin (POSTN) and negative association of annexin A1 (ANXA1) with estrogen receptor status; (ii) positive association of stathmin (STMN1), cofilin-1 (COF1), plasminogen activator inhibitor 1 RNA-binding protein (PAIRBP1) and negative associations of thrombospondin-2 (TSP2) and POSTN levels with tumor grade; and (iii) positive association of POSTN, alpha-actinin-4 (ACTN4) and STMN1 with lymph node status. This study highlights a panel of gene products that can contribute to breast cancer aggressiveness and metastasis, the understanding of which is important for development of more precise breast cancer treatment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Estrogen receptor; Lymph node; Selected reaction monitoring; Tumor grade; mTRAQ

Mesh:

Substances:

Year:  2017        PMID: 28216224     DOI: 10.1016/j.bbapap.2017.02.012

Source DB:  PubMed          Journal:  Biochim Biophys Acta Proteins Proteom        ISSN: 1570-9639            Impact factor:   3.036


  8 in total

Review 1.  Employing proteomics to understand the effects of nutritional intervention in cancer treatment.

Authors:  Monica M Schroll; Amanda B Hummon
Journal:  Anal Bioanal Chem       Date:  2018-07-04       Impact factor: 4.478

2.  Early lineage segregation of multipotent embryonic mammary gland progenitors.

Authors:  Aline Wuidart; Alejandro Sifrim; Marco Fioramonti; Shigeru Matsumura; Audrey Brisebarre; Daniel Brown; Alessia Centonze; Anne Dannau; Christine Dubois; Alexandra Van Keymeulen; Thierry Voet; Cédric Blanpain
Journal:  Nat Cell Biol       Date:  2018-05-21       Impact factor: 28.824

3.  Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry.

Authors:  Pavel Bouchal; Olga T Schubert; Jakub Faktor; Lenka Capkova; Hana Imrichova; Karolina Zoufalova; Vendula Paralova; Roman Hrstka; Yansheng Liu; Holger Alexander Ebhardt; Eva Budinska; Rudolf Nenutil; Ruedi Aebersold
Journal:  Cell Rep       Date:  2019-07-16       Impact factor: 9.423

Review 4.  Role of ACTN4 in Tumorigenesis, Metastasis, and EMT.

Authors:  Dmitri Tentler; Ekaterina Lomert; Ksenia Novitskaya; Nikolai A Barlev
Journal:  Cells       Date:  2019-11-13       Impact factor: 6.600

Review 5.  Breast cancer in the era of integrating "Omics" approaches.

Authors:  Claudia Rossi; Ilaria Cicalini; Maria Concetta Cufaro; Ada Consalvo; Prabin Upadhyaya; Gianluca Sala; Ivana Antonucci; Piero Del Boccio; Liborio Stuppia; Vincenzo De Laurenzi
Journal:  Oncogenesis       Date:  2022-04-14       Impact factor: 6.524

Review 6.  The mechanobiome: a goldmine for cancer therapeutics.

Authors:  Eleana Parajón; Alexandra Surcel; Douglas N Robinson
Journal:  Am J Physiol Cell Physiol       Date:  2020-11-11       Impact factor: 4.249

7.  Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer.

Authors:  Ehwang Song; Yuqian Gao; Chaochao Wu; Tujin Shi; Song Nie; Thomas L Fillmore; Athena A Schepmoes; Marina A Gritsenko; Wei-Jun Qian; Richard D Smith; Karin D Rodland; Tao Liu
Journal:  Sci Data       Date:  2017-07-19       Impact factor: 6.444

8.  Thrombospondin-2 stimulates MMP-9 production and promotes osteosarcoma metastasis via the PLC, PKC, c-Src and NF-κB activation.

Authors:  Ju-Fang Liu; Po-Chun Chen; Tsung-Ming Chang; Chun-Han Hou
Journal:  J Cell Mol Med       Date:  2020-10-06       Impact factor: 5.310

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.