Literature DB >> 16170390

Differentiation of tumours of ductal and lobular origin: II. Genomics of invasive ductal and lobular breast carcinomas.

Gulisa Turashvili1, Jan Bouchal, George Burkadze, Zdenek Kolár.   

Abstract

Breast cancer is considered to be a multifactorial disorder caused by both genetic and non-genetic factors. Different histological types of breast cancer differ in response to treatment and may have a divergent clinical course. Breast tissue is heterogeneous, with components of epithelial, mesenchymal, endothelial and lymphopoietic derivation. The genetic heterogeneity of invasive breast cancer is reflected by the wide spectrum of histological types and differentiation grades. Nevertheless, the influences of these cell types on the tumour's total pattern of gene expression can be estimated analytically. Microarrays permit total tissue analysis and provide a stable molecular portrait of tumours. Some investigations suggest differences in the gene expression profiling for ductal and lobular carcinomas. It has been reported that inactivating mutations of the E-cadherin gene are very frequent in infiltrating lobular breast carcinomas. Other than altered expression of E-cadherin, little is known about the underlying biology that distinguishes ductal and lobular tumour subtypes. However, about 8 genes have been identified differentially which are expressed in lobular and ductal cancers: E-CD, survivin, cathepsin B, TPI1, SPRY1, SCYA14, TFAP2B, and thrombospondin 4, osteopontin, HLA-G, and CHC1. Expression profiling of breast cancers can be used diagnostically to distinguish individual histologic subclassifications and may guide the selection of target therapeutics. However, future approaches will need to include methods for high throughput clinical validation and the ability to analyze microscopic samples.

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Year:  2005        PMID: 16170390     DOI: 10.5507/bp.2005.006

Source DB:  PubMed          Journal:  Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub        ISSN: 1213-8118            Impact factor:   1.245


  9 in total

1.  Association between CCNE1 polymorphisms and the risk of breast cancer in a sample of southeast Iranian population.

Authors:  Shadi Amininia; Mohammad Hashemi; Mahboubeh Ebrahimi; Mohammad Ali Mashhadi; Seyed Mehdi Hashemi; Mohsen Taheri; Saeid Ghavami
Journal:  Med Oncol       Date:  2014-08-27       Impact factor: 3.064

2.  FEN1 -69G>A and +4150G>T polymorphisms and breast cancer risk.

Authors:  Maryam Rezaei; Mohammad Hashemi; Sara Sanaei; Mohammad Ali Mashhadi; Seyed Mehdi Hashemi; Gholamreza Bahari; Mohsen Taheri
Journal:  Biomed Rep       Date:  2016-08-08

3.  ADAM33 gene silencing by promoter hypermethylation as a molecular marker in breast invasive lobular carcinoma.

Authors:  Gerusa G Seniski; Anamaria A Camargo; Daniela F Ierardi; Edneia A S Ramos; Mariana Grochoski; Enilze S F Ribeiro; Iglenir J Cavalli; Fabio O Pedrosa; Emanuel M de Souza; Silvio M Zanata; Fabrício F Costa; Giseli Klassen
Journal:  BMC Cancer       Date:  2009-03-06       Impact factor: 4.430

Review 4.  Thrombospondins in cancer.

Authors:  S Kazerounian; K O Yee; J Lawler
Journal:  Cell Mol Life Sci       Date:  2008-03       Impact factor: 9.261

5.  Association between Programmed Cell Death 6 Interacting Protein Insertion/Deletion Polymorphism and the Risk of Breast Cancer in a Sample of Iranian Population.

Authors:  Mohammad Hashemi; Javad Yousefi; Seyed Mehdi Hashemi; Shadi Amininia; Mahboubeh Ebrahimi; Mohsen Taheri; Saeid Ghavami
Journal:  Dis Markers       Date:  2015-05-03       Impact factor: 3.434

6.  Age at diagnosis and breast cancer survival in iran.

Authors:  Fatemeh Asadzadeh Vostakolaei; Mireille J M Broeders; Nematollah Rostami; Jos A A M van Dijck; Ton Feuth; Lambertus A L M Kiemeney; André L M Verbeek
Journal:  Int J Breast Cancer       Date:  2012-11-22

7.  APOBEC3 Deletion is Associated with Breast Cancer Risk in a Sample of Southeast Iranian Population.

Authors:  Maryam Rezaei; Mohammad Hashemi; Seyed Mehdi Hashemi; Mohammad Ali Mashhadi; Mohsen Taheri
Journal:  Int J Mol Cell Med       Date:  2015

8.  Association between hTERT polymorphisms and the risk of breast cancer in a sample of Southeast Iranian population.

Authors:  Mohammad Hashemi; Shadi Amininia; Mahboubeh Ebrahimi; Seyed Mehdi Hashemi; Mohsen Taheri; Saeid Ghavami
Journal:  BMC Res Notes       Date:  2014-12-10

9.  Evaluating the Association between CCR5delta32 Polymorphism (rs333) and the Risk of Breast Cancer in a Cohort of Iranian Population.

Authors:  Amir Tajbakhsh; Zahra Farjami; Abolfazl Nesaei-Bajestani; Fahimeh Afzaljavan; Mahdi Rivandi; Atefeh Moezzi; Soheila Abedini; Mahla Asghari; Mohammad Mahdi Kooshyar; Fatemeh Homaei Shandiz; Alireza Pasdar
Journal:  Iran J Public Health       Date:  2021-03       Impact factor: 1.429

  9 in total

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