Microarrays Research - Experiments, Designs, Statistics, Analysis, Software

Microarrays Research Today is a free monthly online journal that collates and summarizes the latest research about Microarrays, including details on experiments, designs, statistics, analysis, software.


Microarrays Research Today

Home

View Latest Issue

Information About Microarrays

Books on Microarrays

Advertising in Research Today

View Other Research Today Publications



Phenotypic characterization of BRCA1 and BRCA2 tumors based in a tissue microarray study with 37 immunohistochemical markers.

Palacios J, Honrado E, Osorio A, Cazorla A, Sarrió D, Barroso A, Rodríguez S, Cigudosa JC, Diez O, Alonso C, Lerma E, Dopazo J, Rivas C, Benítez J

Breast and Gynaecological Cancer Laboratory, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.

Familial breast cancers that are associated with BRCA1 or BRCA2 germline mutations differ in both their morphological and immunohistochemical characteristics. To further characterize the molecular difference between genotypes, the authors evaluated the expression of 37 immunohistochemical markers in a tissue microarray (TMA) containing cores from 20 BRCA1, 14 BRCA2, and 59 sporadic age-matched breast carcinomas. Markers analyzed included, amog others, common markers in breast cancer, such as hormone receptors, p53 and HER2, along with 15 molecules involved in cell cycle regulation, such as cyclins, cyclin dependent kinases (CDK) and CDK inhibitors (CDKI), apoptosis markers, such as BCL2 and active caspase 3, and two basal/myoepithelial markers (CK 5/6 and P-cadherin). In addition, we analyzed the amplification of CCND1, CCNE, HER2 and MYC by FISH.Unsupervised cluster data analysis of both hereditary and sporadic cases using the complete set of immunohistochemical markers demonstrated that most BRCA1-associated carcinomas grouped in a branch of ER-, HER2-negative tumors that expressed basal cell markers and/or p53 and had higher expression of activated caspase 3. The cell cycle proteins associated with these tumors were E2F6, cyclins A, B1 and E, SKP2 and Topo IIalpha. In contrast, most BRCA2-associated carcinomas grouped in a branch composed by ER/PR/BCL2-positive tumors with a higher expression of the cell cycle proteins cyclin D1, cyclin D3, p27, p16, p21, CDK4, CDK2 and CDK1. In conclusion, our study in hereditary breast cancer tumors analyzing 37 immunohistochemical markers, define the molecular differences between BRCA1 and BRCA2 tumors with respect to hormonal receptors, cell cycle, apoptosis and basal cell markers.

Published 16 March 2005 in Breast Cancer Res Treat, 90(1): 5-14.
Full-text of this article is available online (may require subscription).

Place a permanent text-link or advertisement here for just US$15.

© 2004-2008 Microarrays Research Today. All Rights Reserved.



Microarrays Research Today Archive:

Volume 1 (2004)
  Issue 1 (June)
  Issue 2 (July)
  Issue 3 (August)
  Issue 4 (September)
  Issue 5 (October)
  Issue 6 (November)
  Issue 7 (December)

Volume 2 (2005)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 3 (2006)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 4 (2007)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 5 (2008)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)



Microarrays Books

Promoter and CpG Island Microarrays (Nuts & Bolts series)

Promoter and CpG Island Microarrays (Nuts & Bolts series)