Literature DB >> 27498393

Quantitative proteomics revealed novel proteins associated with molecular subtypes of breast cancer.

Shankar Suman1, Trayambak Basak2, Prachi Gupta1, Sanjay Mishra1, Vijay Kumar3, Shantanu Sengupta2, Yogeshwer Shukla4.   

Abstract

UNLABELLED: The early diagnosis and successful treatment of breast cancer (BC) is still a challenging task due to the diverse origin and functional heterogeneity of cancer cells. The heterogeneity of BC may likely to explained by molecular BC subtypes, comprises Luminal-A (LA), Luminal-B (LB), Triple-negative (TN) and HER2-positive (HP), which are governed by a variety of cancer associated pathways. To identify protein signatures in different BC subtypes, we performed isobaric tag for absolute and relative quantitation (iTRAQ) of enriched blood plasma samples of BC subtypes (N=32) and healthy subjects (N=8). After analyses of data, 58 proteins were found to be modulated in BC subtypes from healthy subjects (p<0.05) and among these; Fibronectin (FN1), Alpha-2-macroglobulin (A2M), and Complement component-4-binding protein-alpha (C4BPA) and Complement factor-B (CFB) were selected for validation in BC subtypes and healthy subjects in the independent set of blood plasma (N=100) and tissue samples (N=25). Statistical analysis showed the significant modulation of FN1 and C4BPA in LB, and A2M in TN patients in both plasma as well as tissues comparatively control (p<0.05). Further, FN1 and C4BPA in LB subtype revealed a good diagnostic accuracy in plasma level validation. The receiver operating characteristic (ROC) curve and regression analysis demonstrated that these proteins with associated criterion of expression could act as discriminating signatures among BC subtypes with diagnostic and prognostic relevance. SIGNIFICANCE: The heterogeneity of breast cancer (BC) has gained many challenges for successful management of BC, thus, the delineating proteomic alterations BC subtypes may provide great clinical values in diagnostic, prognostic and therapeutics of BC. The findings from the present quantitative proteomic study have deciphered the altered proteomic patterns and their possible molecular interactions in each BC subtype. The study showed a strong association of FN1, A2M, C4BPA and CFB in molecular subtypes of BC, in which, C4BPA and A2M demonstrated a potent signature in blood plasma and tissue samples of LB and TN subtypes in BC patients, respectively. The findings also revealed the altered level expressions of these selected proteins could classify BC subtypes through plasma and tissue based expression analysis in patients and control samples. Hence, these proteins could have clinical importance for the diagnosis and prognosis purposes among molecular BC subtypes.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alpha-2-macroglobulin; BC subtypes; Complement component-4-binding protein-alpha; Complement factor-B; Fibronectin; iTRAQ

Mesh:

Substances:

Year:  2016        PMID: 27498393     DOI: 10.1016/j.jprot.2016.07.033

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  13 in total

Review 1.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

2.  High-throughput Proteomic Profiling of Male Breast Cancer Tissue.

Authors:  Eleni Zografos; Stavros C Proikakis; Athanasios K Anagnostopoulos; Anna-Maria Korakiti; Flora Zagouri; Maria Gazouli; George T Tsangaris
Journal:  Cancer Genomics Proteomics       Date:  2022 Mar-Apr       Impact factor: 4.069

3.  Acquisition of Invasiveness by Breast Adenocarcinoma Cells Engages Established Hallmarks and Novel Regulatory Mechanisms.

Authors:  Hanaa Mousa; Mahmoud Elgamal; Reham Ghazal Marei; Nazariy Souchelnytskyi; Kah-Wai Lin; Serhiy Souchelnytskyi
Journal:  Cancer Genomics Proteomics       Date:  2019 Nov-Dec       Impact factor: 4.069

4.  Tumor tissue protein signatures reflect histological grade of breast cancer.

Authors:  Petter Skoog; Mattias Ohlsson; Mårten Fernö; Lisa Rydén; Carl A K Borrebaeck; Christer Wingren
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

5.  Proteomic analysis of cerebrospinal fluid in pediatric acute lymphoblastic leukemia patients: a pilot study.

Authors:  Linghong Guo; Honghong Ren; Hao Zeng; Yanqiu Gong; Xuelei Ma
Journal:  Onco Targets Ther       Date:  2019-05-17       Impact factor: 4.147

6.  Protein Corona Gold Nanoparticles Fingerprinting Reveals a Profile of Blood Coagulation Proteins in the Serum of HER2-Overexpressing Breast Cancer Patients.

Authors:  María Del Pilar Chantada-Vázquez; Antonio Castro López; María García-Vence; Benigno Acea-Nebril; Susana B Bravo; Cristina Núñez
Journal:  Int J Mol Sci       Date:  2020-11-10       Impact factor: 5.923

Review 7.  Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review.

Authors:  Christina Jane Vellan; Jaime Jacqueline Jayapalan; Boon-Koon Yoong; Azlina Abdul-Aziz; Sarni Mat-Junit; Perumal Subramanian
Journal:  Int J Mol Sci       Date:  2022-02-14       Impact factor: 5.923

Review 8.  Recent advances of transcriptomics and proteomics in triple-negative breast cancer prognosis assessment.

Authors:  Yuan Li; Xiangyi Kong; Zhongzhao Wang; Lixue Xuan
Journal:  J Cell Mol Med       Date:  2022-02-11       Impact factor: 5.310

9.  Detection and benchmarking of somatic mutations in cancer genomes using RNA-seq data.

Authors:  Alexandre Coudray; Anna M Battenhouse; Philipp Bucher; Vishwanath R Iyer
Journal:  PeerJ       Date:  2018-07-31       Impact factor: 2.984

10.  The plasma peptides of breast versus ovarian cancer.

Authors:  Jaimie Dufresne; Pete Bowden; Thanusi Thavarajah; Angelique Florentinus-Mefailoski; Zhuo Zhen Chen; Monika Tucholska; Tenzin Norzin; Margaret Truc Ho; Morla Phan; Nargiz Mohamed; Amir Ravandi; Eric Stanton; Arthur S Slutsky; Claudia C Dos Santos; Alexander Romaschin; John C Marshall; Christina Addison; Shawn Malone; Daren Heyland; Philip Scheltens; Joep Killestein; Charlotte Teunissen; Eleftherios P Diamandis; K W M Siu; John G Marshall
Journal:  Clin Proteomics       Date:  2019-12-23       Impact factor: 3.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.