Literature DB >> 23076779

Serum protein levels following surgery in breast cancer patients: a protein microarray approach.

Luis G Perez-Rivas1, Jose M Jerez, Cristina E Fernandez-De Sousa, Vanessa de Luque, Cristina Quero, Bella Pajares, Leonardo Franco, Alfonso Sanchez-Muñoz, Nuria Ribelles, Emilio Alba.   

Abstract

Surgery is the primary treatment for non-metastatic breast cancer. However, the risk of early recurrence remains after surgical removal of the primary tumor. Recurrence is suggested to result from hidden micrometastatic foci, which are triggered to escape from dormancy by surgical resection of the primary tumor. In this study, we focused on the differential impact of breast surgery on the serum profiles of early breast cancer patients and healthy women. Serum samples from invasive breast cancer patients, in situ carcinoma breast cancer patients and healthy women were analyzed using reverse phase protein array technology. Samples were collected prior to breast surgery and 24 h following breast surgery. Both the expression level and the velocity of 42 serum proteins were quantified and compared among groups. We found that surgery increased the concentration of several proteins (CSF1, THSB2, IL6, IL7, IL16, FasL and VEGF-B) in the overall population. Compared with healthy women and patients with non-invasive tumors, invasive tumor patients exhibited higher preoperative levels of several serum proteins, such as αFP, IFNβ1, VEGF-A, IL18, E-cadherin or CD31, and lower postoperative levels of TNFα and IL5. Similarly, we detected significant surgery-induced changes in the velocity of VEGF-A and IL16 accumulation in samples derived from invasive breast cancer patients. In conclusion, breast surgery induced distinct changes in the concentrations and dynamics of serum proteins in invasive breast cancer patients compared with healthy women and non-invasive tumor patients.

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Year:  2012        PMID: 23076779     DOI: 10.3892/ijo.2012.1667

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  10 in total

1.  The Breast Cancer to Bone (B2B) Metastases Research Program: a multi-disciplinary investigation of bone metastases from breast cancer.

Authors:  Nigel T Brockton; Stephanie J Gill; Stephanie L Laborge; Alexander H G Paterson; Linda S Cook; Hans J Vogel; Carrie S Shemanko; David A Hanley; Anthony M Magliocco; Christine M Friedenreich
Journal:  BMC Cancer       Date:  2015-07-10       Impact factor: 4.430

2.  A microRNA signature associated with early recurrence in breast cancer.

Authors:  Luis G Pérez-Rivas; José M Jerez; Rosario Carmona; Vanessa de Luque; Luis Vicioso; M Gonzalo Claros; Enrique Viguera; Bella Pajares; Alfonso Sánchez; Nuria Ribelles; Emilio Alba; José Lozano
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

Review 3.  Reduction of breast cancer relapses with perioperative non-steroidal anti-inflammatory drugs: new findings and a review.

Authors:  Michael Retsky; Romano Demicheli; William J M Hrushesky; Patrice Forget; Marc De Kock; Isaac Gukas; Rick A Rogers; Michael Baum; Vikas Sukhatme; Jayant S Vaidya
Journal:  Curr Med Chem       Date:  2013       Impact factor: 4.530

Review 4.  Levels of soluble E-cadherin in breast, gastric, and colorectal cancers.

Authors:  Ombretta Repetto; Paolo De Paoli; Valli De Re; Vincenzo Canzonieri; Renato Cannizzaro
Journal:  Biomed Res Int       Date:  2014-09-16       Impact factor: 3.411

5.  Plasma levels and diagnostic utility of VEGF, MMP-9, and TIMP-1 in the diagnosis of patients with breast cancer.

Authors:  Sławomir Ławicki; Monika Zajkowska; Edyta Katarzyna Głażewska; Grażyna Ewa Będkowska; Maciej Szmitkowski
Journal:  Onco Targets Ther       Date:  2016-02-24       Impact factor: 4.147

Review 6.  Protein Array-based Approaches for Biomarker Discovery in Cancer.

Authors:  Yi Huang; Heng Zhu
Journal:  Genomics Proteomics Bioinformatics       Date:  2017-04-07       Impact factor: 7.691

Review 7.  Breast cancer and the black swan.

Authors:  Michael Retsky; Romano Demicheli; William Hrushesky; Ted James; Rick Rogers; Michael Baum; Jayant S Vaidya; Osaro Erhabor; Patrice Forget
Journal:  Ecancermedicalscience       Date:  2020-05-28

8.  Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.

Authors:  Dong Li; Yi Yin; Muqun He; Jianfeng Wang
Journal:  Med Sci Monit       Date:  2021-02-14

9.  Mendelian randomization analyses of genetically predicted circulating levels of cytokines with risk of breast cancer.

Authors:  Shen Li; Yan Xu; Yao Zhang; Lili Nie; Zhihua Ma; Ling Ma; Xiaoyu Fang; Xiangyu Ma
Journal:  NPJ Precis Oncol       Date:  2020-09-01

10.  Landscape Analysis of Matrix Metalloproteinases Unveils Key Prognostic Markers for Patients With Breast Cancer.

Authors:  Tianyi Cheng; Peiying Chen; Jingyi Chen; Yingtong Deng; Chen Huang
Journal:  Front Genet       Date:  2022-01-06       Impact factor: 4.599

  10 in total

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