Literature DB >> 23639844

Complement C3f serum levels may predict breast cancer risk in women with gross cystic disease of the breast.

Aldo Profumo1, Rosa Mangerini, Alessandra Rubagotti, Paolo Romano, Gianluca Damonte, Pamela Guglielmini, Angelo Facchiano, Fabio Ferri, Francesco Ricci, Mattia Rocco, Francesco Boccardo.   

Abstract

Gross cystic disease (GCDB) is a breast benign condition predisposing to breast cancer. Cryopreserved sera from GCDB patients, some of whom later developed a cancer (cases), were studied to identify potential risk markers. A MALDI-TOF mass spectrometry analysis found several complement C3f fragments having a significant increased abundance in cases compared to controls. After multivariate analysis, the full-length form of C3f maintained a predictive value of breast cancer risk. Higher levels of C3f in the serum of women affected by a benign condition like GCDB thus appears to be correlated to the development of breast cancer even 20 years later. BIOLOGICAL SIGNIFICANCE: Increased complement system activation has been found in the sera of women affected by GCDB who developed a breast cancer, even twenty or more years later. C3f may predict an increased breast cancer risk in the healthy population and in women affected by predisposing conditions.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23639844     DOI: 10.1016/j.jprot.2013.04.029

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


  9 in total

1.  Profiling of Cross-Functional Peptidases Regulated Circulating Peptides in BRCA1 Mutant Breast Cancer.

Authors:  Jia Fan; Muy-Kheng M Tea; Chuan Yang; Li Ma; Qing H Meng; Tony Y Hu; Christian F Singer; Mauro Ferrari
Journal:  J Proteome Res       Date:  2016-04-26       Impact factor: 4.466

2.  The Plethora of Angiotensin-Converting Enzyme-Processed Peptides in Mouse Plasma.

Authors:  Margarita Semis; Gabriel B Gugiu; Ellen A Bernstein; Kenneth E Bernstein; Markus Kalkum
Journal:  Anal Chem       Date:  2019-05-07       Impact factor: 6.986

3.  Proteomic Analysis of Plasma Reveals Fat Mass Influences Cancer-Related Pathways in Healthy Humans Fed Controlled Diets Differing in Glycemic Load.

Authors:  Carly B Garrison; Yuzheng Zhang; Sandi L Navarro; Timothy W Randolph; Meredith A J Hullar; Mario Kratz; Marian L Neuhouser; Daniel Raftery; Paul D Lampe; Johanna W Lampe
Journal:  Cancer Prev Res (Phila)       Date:  2019-07-02

4.  Circulating proteolytic products of carboxypeptidase N for early detection of breast cancer.

Authors:  Yaojun Li; Yueguo Li; Tao Chen; Anna S Kuklina; Paul Bernard; Francisco J Esteva; Haifa Shen; Mauro Ferrari; Ye Hu
Journal:  Clin Chem       Date:  2013-10-21       Impact factor: 8.327

5.  Serum complement C3f and fibrinopeptide A are potential novel diagnostic biomarkers for non-alcoholic fatty liver disease: a study in Qingdao Twins.

Authors:  Yong-Ning Xin; Ning Geng; Zhong-Hua Lin; Ya-Zhou Cui; Hai-Ping Duan; Mei Zhang; Shi-Ying Xuan
Journal:  PLoS One       Date:  2014-09-24       Impact factor: 3.240

6.  Geena 2, improved automated analysis of MALDI/TOF mass spectra.

Authors:  Paolo Romano; Aldo Profumo; Mattia Rocco; Rosa Mangerini; Fabio Ferri; Angelo Facchiano
Journal:  BMC Bioinformatics       Date:  2016-03-02       Impact factor: 3.169

7.  The Activation of Prothrombin Seems to Play an Earlier Role than the Complement System in the Progression of Colorectal Cancer: A Mass Spectrometry Evaluation.

Authors:  Maider Beitia; Paolo Romano; Gorka Larrinaga; Jon Danel Solano-Iturri; Annalisa Salis; Gianluca Damonte; Marco Bruzzone; Marcello Ceppi; Aldo Profumo
Journal:  Diagnostics (Basel)       Date:  2020-12-11

8.  GeenaR: A Web Tool for Reproducible MALDI-TOF Analysis.

Authors:  Eugenio Del Prete; Angelo Facchiano; Aldo Profumo; Claudia Angelini; Paolo Romano
Journal:  Front Genet       Date:  2021-03-29       Impact factor: 4.599

9.  Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach.

Authors:  Julia Beretov; Valerie C Wasinger; Ewan K A Millar; Peter Schwartz; Peter H Graham; Yong Li
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

  9 in total

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