Evidence map›Paper›PMID 27054117›Full record

ArticleCell journal2016

Characterization of Common Chromosomal Translocations and Their Frequencies in Acute Myeloid Leukemia Patients of Northwest Iran.

Elnaz Amanollahi Kamaneh, Karim Shams Asenjan, Aliakbar Movassaghpour Akbari, Parvin Akbarzadeh Laleh, Hadi Chavoshi, Jamal Eivazi Ziaei, Alireza Nikanfar, Iraj Asvadi Kermani, Ali Esfahani

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Article in Cell journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 72% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Analytical study ofFrontiers in pediatrics · 2022
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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Elnaz Amanollahi KamanehHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Karim Shams AsenjanHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Aliakbar Movassaghpour AkbariHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Parvin Akbarzadeh LalehDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Hadi ChavoshiHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Jamal Eivazi ZiaeiHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Alireza NikanfarHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Iraj Asvadi KermaniHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ali EsfahaniHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetection of chromosomal translocations has an important role in diagnosis and treatment of hematological disorders. We aimed to evaluate the 46 new cases of de novo acute myeloid leukemia (AML) patients for common translocations and to assess the effect of geographic and ethnic differences on their frequencies. MATERIALS AND

methodsIn this descriptive study, reverse transcriptase-polymerase chain reaction (RT-PCR) was used on 46 fresh bone marrow or peripheral blood samples to detect translocations t (8; 21), t (15; 17), t (9; 11) and inv (16). Patients were classified using the French-American-British (FAB) criteria in to eight sub-groups (M0-M7). Immunophenotyping and biochemical test results of patients were compared with RT-PCR results.

resultsOur patients were relatively young with a mean age of 44 years. AML was relatively predominant in female patients (54.3%) and most of patients belonged to AML-M2. Translocation t (8; 21) had the highest frequency (13%) and t (15; 17) with 2.7% incidence was the second most frequent. CD19 as an immunophenotypic marker was at a relatively high frequency (50%) in cases with t (8; 21), and patients with this translocation had a specific immunophenotypic pattern of complete expression of CD45, CD38, CD34, CD33 and HLA-DR.

conclusionSimilarities and differences of results in Iran with different parts of the world can be explained with ethnic and geographic factors in characterizations of AML. Recognition of these factors especially in other comprehensive studies may aid better diagnosis and management of this disease.

Indexed as

Acute Myeloid LeukemiaChromosomal TranslocationIran

Identifiers

PMID27054117
PMCPMC4819384
OpenAlexW3011163854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.