KRAS and MT-CO1 genes in colorectal cancer: a molecular investigation.

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. The tumor suppressor gene MT-CO1, and Kristen Rat Sarcoma Virus (KRAS), an oncogene are primarily responsible for controlling cell apoptosis, cell cycle arrest, and cell proliferation, and any irregularities in these genes could lead to cancer. This study aims to examine the expression of KRAS and MT-CO1 in CRC biopsy specimens and investigate their relationship with one another in CRC patients residing in the Erbil city of Kurdistan Region, Iraq. The study involved categorizing 42 sets of colorectal cancer tissues and their corresponding controls based on their types and patients' clinical characteristics. The expression of KRAS and MT-CO1 in the samples was assessed using Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR), with statistical significance set at p<0.05. The expression of KRAS was found to be significantly higher in CRC compared to the control (n=42, p=0.0001). On the other hand, the expression of MT-CO1 did not exhibit significant differences compared to the control group with a p-value of 0.12. Furthermore, the Chi-square and correlation analysis results depicted that MT-CO1 expression negatively correlates with KRAS expression (p= 0.0001, r= -0.047) in CRC tissues. In conclusion, the variation in the expression of KRAS and MT-CO1, and their correlations could potentially serve as a good indicator in the detection and prognosis of CRC, which might lead to better translational research on the same. However, for a better understanding of the underlying mechanisms, further analysis is required.

Exonic sequencing and MLH3 gene expression analysis of breast cancer patients.

Breast cancer is the most common cancer in women worldwide. Detection of breast cancer susceptibility genes is an important issue. Also, MLH3 is a DNA mismatch repair gene and mutation in this gene is harmful in different cancers. This study aimed to use exome sequencing to uncover previously undetected breast cancer-predisposing variants. Also, we investigated the MLH3 gene expression of breast cancer patients which can be a breast cancer susceptibility gene. A total of 80 samples including 40 paired normal and cancer tissue samples were collected at Zheen International Hospital, Erbil, Iraq. Exome sequencing was used to identify mutations. Different in silico tools were used to predict the effect of mutation on the structural features or protein function. Real-time PCR was used for assessing the expression of MLH3 in breast cancer patients. We identified 26 variants in breast cancer patients, 22 inherited variants were found in MLH3, CHECK2, BRCA1, BRCA2, BLM, TP53, MSH6, NBN and PTEN genes and 4 somatic variants were found in PALB2, RAD50 and RBM10 genes. It was found that the expression of the MLH3 gene in tumor samples was significantly down-regulated compared with normal tissues. Statistically, high significance was found. The decreased expression of MLH3 was significant in all ranges of ages and all breast cancer types. Also, the expression of MLH3 decreased significantly in patients with breast cancer grades of II and III. In conclusion, MLH3 can be used as a susceptibility gene especially in grades II and III of breast cancer.

Expression patterns of LncRNA-GAS5 and its target APOBEC3C gene through miR-103 in breast cancer patients.

Early diagnosis of breast cancer can increase the survivability of the patients and the patient's quality of life. There is growing evidence demonstrating the active role of LncRNA-GAS5 and miR-103 in cancer biology. APOBEC enzymes are important players in immunity and may contribute to carcinogenesis. Mutation and expression alteration in the APOBEC gene family was found to have a strong correlation with breast cancer risk. This study aimed to evaluate the expression level of lncRNA-GAS5 and its target APOBEC3C in women with breast cancer through expression evaluation of miR-103. Moreover, the interaction between lncRNA-GAS5 and miR-103 was studied. In the present study, forty paired tumor and normal samples classified based on breast cancer subtypes and clinical features of patients were analyzed using gene expression studies. Immunohistochemical analysis of the gene products was performed to classify tumors. The RNA samples were extracted from breast tissue. Real-time PCR was conducted for APOBEC3C and Lnc-RNA GAS5 expression. In addition, miR-103a miScript Primer Assay was utilized for the expression of miR-103-5p. It was revealed that the expression level of APOBEC3C and lncRNA-GAS5 were significantly down-regulated; however, the miRNA-103 expression level was significantly up-regulated. GAS5 expression was positively correlated with APOBEC3C expression and negatively correlated with miR-103 expression. In conclusion, we observed down-regulation of APOBEC3C and LncRNA-GAS5 and up-regulation of miRNA 103 in breast cancer patients. The expression of GAS5 may provide a new potential treatment target for breast cancer. To clarify the role of these molecules in the cellular signaling pathways, further studies are required.

A Novel ß0-Thalassemia Mutation, HBB: c.356_357delTT [Codon 118 (-TT)] in an Iraqi Kurd.

We report a novel frameshift ß-thalassemia (ß-thal) mutation due to a two-nucleotide deletion at codon 118 of the ß-globin gene (HBB: c.356_357delTT) in a 4-year-old Iraqi Kurd female presenting as transfusion-dependent ß-thal. This frameshift mutation, unlike many others involving the third exon, behaved as a recessive ß0 defect and not as dominant ß-thal mutation.

The Relevance of SNPs at 3'UTR Region of CASP7 and miR-371b-5p Associated Diseases: A Computational Analysis.

The process of genetically programmed cell death, or apoptosis, plays a crucialrolein cellular homeostasis and gene expression. Disruption of apoptosis may lead to aberrant immune responses, cancer, and neurodegenerative diseases. Single nucleotide polymorphisms (SNPs) present in various microRNA (miRNA) genes and targets being an alteration of miRNA activity resulting in human diseases. Evidence reported that SNPs increase/decrease the effectiveness of the interaction between miRNAs and their target genes associated with diseases. The primary purpose of this study is not only to identify miRSNPs on the CASP7 gene (caspase-7) and SNPs in miRNA genes targeting 3'UTR but also to evaluate the effect of thesegene variations in apoptosis and their associated diseases. We detected 120 miRNAs binding sites and 27 different SNPs in binding sites of miRNA in 3'UTR of the CASP7 gene by ten different online softwares. Interestingly, miR-371b-5p's binding site on CASP7 has an SNP (rs576198588, G/T) on CASP7 3'UTR, and its genomic sequence has an SNP (rs751339395, G/T) at the same nucleotide with rs576198588. Similarly, two other SNPs (rs774879764, C/G rs750389063, C/T) were identified at the first position binding site of miR-371b-5p. Here, miRSNP (rs576198588) at CASP7 3'UTR and SNP (rs751339395) at miR-371b-5p genomic sequence cross-matches at the same site of binding region. Besides, miR-371b-5p targets many apoptosis-related genes (HIP1, TRIAP1, GSKIP, NIN, DAP, CAAP1, XIAP, TMBIM1, TMBIM4, TNFRSF10A, RAD21, AKT1, BAG1, BAG4) even though it had no apoptosis correlated interaction demonstrated formerly. It assures that CASP7 could have a significant consequence on apoptosis through different pathways. Henceforth, this study was representing and signifying an influential connotation among miR-371b-5p and apoptosis via computational exploration and recommended to have better insight.

Novel SARS-CoV-2/COVID-19: Origin, pathogenesis, genes and genetic variations, immune responses and phylogenetic analysis.

In this review, we focused on the origins of the novel coronavirus (SARS-CoV-2), origin, pathogenesis, immune responses, genes and genetic variations, phylogenetic analyses, and potential therapeutic strategies to summarize approaches for developing broadly effective preventions and vaccines to cope COVID-19. Towards the end of 2019, SARS-CoV-2 has emerged in association with the SARS, later was named COVID-19 caused an environment of chaos worldwide and infected a massive number of lives. Since these epidemics or pandemics had spread to 210 countries and territories around the world and 2 international conveyances with 6,467,229 confirmed cases, including, 382,766 deaths, as of June 03, 2020 (https://www.worldometers.info/coronavirus/), hence the World Health Organization declared it as a global Public Health Emergency. There are no clinically approved vaccines or antiviral drugs available for either of new or old corona infections; thus, the development of effective therapeutic and preventive strategies that can be readily available to cope with these strains.

Genetic biomarkers: Potential roles in cancer diagnosis.

Biomarkers are indicators of pathogenic processes, typical biological processes, or pharmacological reactions to a therapy. It has several potential usages in cancer; differential diagnosis, prognosis, risk assessment, therapeutic response, and monitoring of disease progression. Recently, advances in oncomarkers raised significant opportunities for enhancing management of cancer. Chromosomal aberration, molecular impairment and epigenetic alteration might be applied to diagnose and prognose cancer and its epidemiology. Some oncomarkers are specific and highly sensitive for detection. An oncomarker might be used to see how the body reacts to an intervention or a situation. The present study represents a short review about various genetic oncomarkers with diagnostic and prognostic values.

Genomic characterization of a novel SARS-CoV-2.

A new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with human to human transmission and extreme human sickness has been as of late announced from the city of Wuhan in China. Our objectives were to mutation analysis between recently reported genomes at various times and locations and to characterize the genomic structure of SARS-CoV-2 using bioinformatics programs. Information on the variation of viruses is of considerable medical and biological impacts on the prevention, diagnosis, and therapy of infectious diseases. To understand the genomic structure and variations of the SARS-CoV-2. The study analyzed 95 SARS-CoV-2 complete genome sequences available in GenBank, National MicrobiologyData Center (NMDC) and NGDC Genome Warehouse from December-2019 until 05 of April-2020. The genomic signature analysis demonstrates that a strong association between the time of sample collection, location of sample and accumulation of genetic diversity. We found 116 mutations, the three most common mutations were 8782C>T in ORF1ab gene, 28144T>C in ORF8 gene and 29095C>T in the N gene. The mutations might affect the severity and spread of the SARS-CoV-2. The finding heavily supports an intense requirement for additional prompt, inclusive investigations that combine genomic detail, epidemiological information and graph records of the clinical features of patients with COVID-19.