Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020The Dilemma of TP53 Codon 72 Polymorphism (rs1042522) and Breast Cancer Risk7citations

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Vahednia, Elham
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Rivandi, Mahdi
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Ghasemian, Saeed Zarif
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Tehrani, Negin Chaeichi
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Abavisani, Mohammad
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Afzaljavan, Fahimeh
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2020

Co-Authors (by relevance)

  • Vahednia, Elham
  • Rivandi, Mahdi
  • Ghasemian, Saeed Zarif
  • Tehrani, Negin Chaeichi
  • Abavisani, Mohammad
  • Afzaljavan, Fahimeh
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article

The Dilemma of TP53 Codon 72 Polymorphism (rs1042522) and Breast Cancer Risk

  • Vahednia, Elham
  • Rivandi, Mahdi
  • Ghasemian, Saeed Zarif
  • Tehrani, Negin Chaeichi
  • Abavisani, Mohammad
  • Khayami, Reza
  • Afzaljavan, Fahimeh
Abstract

<p>Objective: Mutations of TP53 as a tumor suppressor gene are frequently observed in different types of cancer. A codon 72 polymorphism located on exon 4 with two alleles encoding either Proline (CCC) or Arginine (CGC) has been indicated as a common variation in association with cancers. Controversial results have been reported regarding the association of allelic polymorphism of codon 72 of TP53 gene and breast cancer risk in Iranian patients. Therefore, a case-control study was designed. A meta-analysis was also carried out to provide evidence of association between this variation and breast cancer in Iran, based on all available published data.</p><p>Materials and Methods: In this case-control study, blood sample of 622 participants, including 308 breast cancer cases and 314 controls were collected. Genotyping for rs1042522 was conducted by Allele Specific polymerase chain reaction (AS-PCR). In order to set a meta-analysis study, PubMed, Scopus and ISI Web of Knowledge and Persian databases were searched to explore relevant studies, published up to September 2018, containing information on TP53 polymorphism and the risk of breast cancer in Iran. Statistical analysis was performed using SPSS 16.0 and MetaGenyo.</p><p>Results: All retrieved available data as well as the results of our current study were consisted of 1965 breast cancer cases and 1999 healthy controls. No significant difference was observed in allele frequencies between groups (P=0.90) in our study. The cumulative results did not also show any association between rs1042522 and breast cancer risk on the dominant (P=0.61) and recessive (P=0.89) models.</p><p>Conclusion: These findings cannot support contribution of rs1042522 polymorphism to breast cancer risk in an Iranian population. Future larger studies may help confirm this finding with a greater power.</p>

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