Literature DB >> 16470630

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium.

Gernot Hudelist1, Christian F Singer, Kerstin I D Pischinger, Klaus Kaserer, Mahmood Manavi, Ernst Kubista, Klaus F Czerwenka.   

Abstract

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.

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Year:  2006        PMID: 16470630     DOI: 10.1002/pmic.200500129

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  16 in total

1.  Proteomic analysis of haptoglobin and amyloid A protein levels in patients with vivax malaria.

Authors:  Young Yil Bahk; Byoung-Kuk Na; Shin-Hyeong Cho; Jung-Yeon Kim; Kook-Jin Lim; Tong-Soo Kim
Journal:  Korean J Parasitol       Date:  2010-09-16       Impact factor: 1.341

Review 2.  Expression profiling of the mouse early embryo: reflections and perspectives.

Authors:  Minoru S H Ko
Journal:  Dev Dyn       Date:  2006-09       Impact factor: 3.780

3.  Proteomic studies in breast cancer (Review).

Authors:  Xian-Ju Qin; Bruce X Ling
Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

Review 4.  Molecular screening for breast cancer prevention, early detection, and treatment planning: combining biomarkers from DNA, RNA, and protein.

Authors:  Katherine Stemke-Hale; Bryan Hennessy; Gordon B Mills; Rahul Mitra
Journal:  Curr Oncol Rep       Date:  2006-11       Impact factor: 5.075

5.  A serum protein profile predictive of the resistance to neoadjuvant chemotherapy in advanced breast cancers.

Authors:  Seok-Won Hyung; Min Young Lee; Jong-Han Yu; Byunghee Shin; Hee-Jung Jung; Jong-Moon Park; Wonshik Han; Kyung-Min Lee; Hyeong-Gon Moon; Hui Zhang; Ruedi Aebersold; Daehee Hwang; Sang-Won Lee; Myeong-Hee Yu; Dong-Young Noh
Journal:  Mol Cell Proteomics       Date:  2011-07-28       Impact factor: 5.911

6.  Serum proteomic profiling and haptoglobin polymorphisms in patients with GVHD after allogeneic hematopoietic cell transplantation.

Authors:  Joseph McGuirk; Gang Hao; Weijian Hou; Sunil Abhyankar; Casey Williams; Weisi Yan; Jianda Yuan; Xiuqin Guan; Robert Belt; Shaun Dejarnette; Jeffery Wieman; Ying Yan
Journal:  J Hematol Oncol       Date:  2009-04-20       Impact factor: 17.388

7.  Targeted glycoproteomic identification of biomarkers for human breast carcinoma.

Authors:  Karen L Abbott; Kazuhiro Aoki; Jae-Min Lim; Mindy Porterfield; Rachelle Johnson; Ruth M O'Regan; Lance Wells; Michael Tiemeyer; Michael Pierce
Journal:  J Proteome Res       Date:  2008-02-14       Impact factor: 4.466

Review 8.  Breast tumor metastasis: analysis via proteomic profiling.

Authors:  Steve Goodison; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2008-06       Impact factor: 3.940

9.  Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.

Authors:  Arzu Umar; Hyuk Kang; Annemieke M Timmermans; Maxime P Look; Marion E Meijer-van Gelder; Michael A den Bakker; Navdeep Jaitly; John W M Martens; Theo M Luider; John A Foekens; Ljiljana Pasa-Tolić
Journal:  Mol Cell Proteomics       Date:  2009-03-27       Impact factor: 5.911

10.  A Comparison of the Proteomic Expression in Pooled Saliva Specimens from Individuals Diagnosed with Ductal Carcinoma of the Breast with and without Lymph Node Involvement.

Authors:  Charles F Streckfus; Karen A Storthz; Lenora Bigler; William P Dubinsky
Journal:  J Oncol       Date:  2009-12-20       Impact factor: 4.375

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