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Mohammadjavad Hosseinpoor, Hamid Parvin, Samad Nejatian, Vahideh Rezaee, Karamollah Bagherifard,
Volume 10, Issue 1 (4-2020)
Abstract

Background & Objective: Nowadays, in medical sciences, the amount of data on symptoms of people affected with various illnesses on one hand, and finding assistive techniques for the diagnosis of those diseases on the other, has been widespread. Consequently, the analysis and consideration of all factors involved in a disease are often challenging. Thus, a mechanized system to help discover the rules, identify patterns, and predict future events is absolutely needed. In this research, we intend to use a multi-objective algorithm to provide a method capable of detecting, extract sequences of variable-length from the genome, and count the interactions among them. In fact, these regulatory elements could play a significant role in the incidence and exacerbation of cancer.
Material & Methods: In this research, a proposed method for the detection of regulatory elements in the genome of a breast cancer patient has been used. The proposed method is implemented in MATLAB software. Also, to measure the performance and effectiveness of the suggested method, the proposed algorithm is implemented on HiC dataset, regarding patients with breast cancer in two blood cells GM12878 and CD34+ introduced by Mifsud et al.
Results: The results of implementing the proposed method are compared with the HiCUP method. The results show that the MSARE method has a better performance in detecting regulatory elements compared to the HiCUP method.
Conclusion: Experimental studies have shown that the two promoters BLC6 and HOTTIP discovered by the proposed method have had a significant effect on the incidence and severity of breast cancer in both blood cells GM12878 and CD34+.
 
Davod Borji, Dr Nooshin Banaee Rezaeeyeh, Hassan Ali Nedaie,
Volume 10, Issue 4 (11-2020)
Abstract

Background & objective: The aim of this study is to evaluate the feasibility of using electron therapy as main treatment modality of mastectomy patients and determine the absorbed dose of lung and heterogeneity and conformity indexes of breast region in this technique and compare it with the conventional method of applying tangential photon beams.
Materials & methods: In this study, the CT images of 10 mastectomy patients were used. The CT images were imported into Monaco treatment planning system. Targets and organs at risk were contoured by a radiation oncologist. Then, for each patient, two treatment plans were designed: one with photon fields and the other with electron fields. The prescription dose for each plan was 50 Gy and the plans were designed in a way to deliver 90% of prescription to at least 90% of target volume. Conformity and heterogeneity indexes and absorbed dose of lung were then evaluated and compared.
Results: Comparing the obtained data, it was shown that photon fields provided better conformity and heterogeneity compared to electron fields. Also, due to the different irradiation angles of photon and electron fields, in most patients, photon fields led to lower absorbed dose of lung.
Conclusion: The results of this study showed that in terms of sparing lung and delivering a homogeneous and conformal dose to tumor, radiotherapy of mastectomy cases with tangential photon fields have better results compared to electron therapy.
 

Niloofar Agharezaee, Flora Forouzesh,
Volume 12, Issue 4 (11-2022)
Abstract

Background & Objective: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global infection and a continuing pandemic. Symptoms have been associated with age, biological sex, and other previous present health situations.
The aim of this study was to make a genetic comparison between the SARS-CoV-2, SARS-CoV, and Middle East Respiratory Syndrome (MERS)-CoV using phylogenetic methods.
Materials & Methods: In this review study, previously published papers were collected from 2010 to 2020 using electronic sources in reliable databases such as Scopus, PubMed, ISI, Google Scholar, and Science Direct. Then, we performed the bioinformatics study. For sequences alignment, analysis, and phylogenetic construction, all sequences from SARS-CoV-2, SARS-CoV, and MERS-CoV were obtained from the GeneBank database.
Results: Eighty percent of SARS-CoV and 50% of MERS-CoV RNA sequences shared with SARS-CoV-2 RNA and SARS-CoV-2 show additional genomic regions. The phylogenetic analysis of the full-length genome sequence shows that SARS-CoV-2 has the highest similarity with SARS-CoV, but it has a lower similarity with MERS-CoV. Considering the close relationship between SARS-2 and SARS, the examination of the amino-corrosive translocation of completely different proteins may prove that there are fundamental and utilitarian differences between SARS-2 and SARS.
Conclusion: Although COVID-19 pathogenicity is not well known, MERS-CoV and SARS-CoV pathogenesis still can be the best source of COVID-19 information. The global effect of this new epidemic is yet uncertain. So, analyzing genome sequencing is important for epidemiological, clinical, and experimental studies.



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