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 (4/4 displayed)

  • 2021Association between Genetic Polymorphisms of miR-1307, miR- 1269, miR-3117 and Breast Cancer Risk in a Sample of South East Iranian Women.6citations
  • 2020Evaluating the Possible Association between PD-1 (Rs11568821, Rs2227981, Rs2227982) and PD-L1 (Rs4143815, Rs2890658) Polymorphisms and Susceptibility to Breast Cancer in a Sample of Southeast Iranian Women.17citations
  • 2012Strength performance of fly ash and slag mixtures using gypsum2citations
  • 2009Strength optimization of novel binder containing plasterboard gypsum wastecitations

Places of action

Chart of shared publication
Kiumarsi, M.
2 / 2 shared
Sattarifard, H.
2 / 2 shared
Bahari, G.
2 / 3 shared
Hashemi, M.
2 / 3 shared
Sarabandi, S.
2 / 2 shared
Sadeghi Pouya, Homayoon
2 / 15 shared
Ganjian, Eshmaiel
2 / 52 shared
Claisse, Peter A.
2 / 16 shared
Chart of publication period
2021
2020
2012
2009

Co-Authors (by relevance)

  • Kiumarsi, M.
  • Sattarifard, H.
  • Bahari, G.
  • Hashemi, M.
  • Sarabandi, S.
  • Sadeghi Pouya, Homayoon
  • Ganjian, Eshmaiel
  • Claisse, Peter A.
OrganizationsLocationPeople

article

Association between Genetic Polymorphisms of miR-1307, miR- 1269, miR-3117 and Breast Cancer Risk in a Sample of South East Iranian Women.

  • Kiumarsi, M.
  • Sattarifard, H.
  • Karami, S.
  • Bahari, G.
  • Hashemi, M.
  • Sarabandi, S.
Abstract

<h4>Introduction</h4>MicroRNAs (miRNAs) play an essential role in the susceptibility and development of cancer cells.<h4>Objective</h4>Examining the dependency of breast cancer risk with genetic polymorphisms of miR-1307, miR-1269, and miR-3117 in a sample of Iranian women (southeast region).<h4>Methods</h4>The case-control study consisted of 520 individuals (260 diagnosed BC patients, 260 healthy individuals). The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used for genotyping of miR-1307 rs7911488, miR-1269 rs73239138, and miR-3117 (rs4655646 and rs7512692) polymorphisms.<h4>Results and conclusion</h4>This study provided evidence that miR-1307 rs7911488 polymorphism significantly reduced the risk of BC in heterozygous AG genotype, as well as dominant (AG+GG) genotype and G allele. A significant correlation was found between dominant (AA+AG) genotype, the A allele and protection against BC due to miR-1269 rs73239138 in the sample of study. In contrast, our findings suggested that AG genotype and G allele of miR-3117 rs4655646 polymorphism could increase BC's susceptibility among the southeastern Iranian females. The miR-3117 rs7512692 variant also increased the risk of BC in codominant, dominant and recessive models, as well as the T allele. The possible dependency of miR-1307, miR-1269, and miR-3117 variants with patients' clinicopathological characteristics and BC was also studied. It was concluded that there is a correlation between miR-3117 rs7512692 variant and tumor grade (p=0.031); also, a correlation between miR-1269 rs73239138 variant and progesterone receptor status (p=0.006). The current investigation revealed that miR-1307, miR-1269, and miR-3117 polymorphisms might play a crucial role in the Iranian population's vulnerability to BC.<br />.

Topics
  • impedance spectroscopy
  • susceptibility