Estrogen Receptor Gene Polymorphism as a Possible Genetic Risk Factor for Treatment Response in ER-Positive Breast Cancer Patients.

Estrogen receptor-α (ESR1) single nucleotide polymorphisms (SNPs) have been related to breast cancer (BC) susceptibility. In this retrospective study we investigated ESR1 SNPs in association with survival and treatment response in BC patients. Seven ESR1 SNPs were genotyped using TaqMan probe assay in 100 formalin-fixed paraffin embedded blocks of Egyptian ER+BC patients. Log-binomial regression was used to assess the association of 5 ESR1 SNPs with relative risk of non-response to adjuvant-hormonal treatment. We compared the performance of five machine learning classification models for prediction of treatment response. Predictive models were developed using rs1801132, rs2228480, and rs9322354 that were significantly associated with increased risk for non-response along with the relevant clinical features. Survival analysis was performed to detect prognostic significance of ESR1 SNPs in ESR+BC patients. rs1801132 (C), rs2228480 (A), and rs9322354 (G) minor alleles significantly increased the risk of non-response to tamoxifen by more than 81, 84, and 117%, respectively, in ER+BC patients on anthracycline/anthracycline-taxanes-based chemotherapy. Multivariate Cox regression survival analysis revealed that rs1801132 (C) and large tumor size were independent predictors for poor survival outcome in ER+BC. The best response predictive model was a combination random forest, K-nearest neighbor, and decision tree having an area under the curve of 0.94 and an accuracy of 90.8%. Our proposed predictive model based on ESR1 rs1801132, rs2228480, and rs9322354 SNPs represents a promising genetic risk stratification for selection patients who could benefit from tamoxifen therapy in such a way that might facilitate personalized medicine required to improve ER+BC patients' outcome.

Impact of nano-conjugate on Drosophila for early diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is an irreversible neurodegenerative disease. Recent identification of AD biomarkers has led to the diagnosis of AD before the onset of dementia. It has been shown that Drosophila melanogaster is a valuable model for studying human neurodegeneration, including AD. According to its properties, curcumin shows promising potential for the diagnosis of AD. In order to improve its use, new formulations, including nanotechnology-based delivery systems, have been applied. The current study aims to diagnose AD by detecting the accumulation of amyloid beta-peptide via carbon-dot-curcumin nanoparticle conjugation in Drosophila. The accumulation of amyloid beta-peptide has been detected via the conjugate using the fluorescence imaging technique. These results suggest that carbon-dot-curcumin nanoparticle conjugation could be used as a diagnostic tool for AD.

Whole-genome sequencing of human Pegivirus variant from an Egyptian patient co-infected with hepatitis C virus: a case report.

BACKGROUND: Human pegivirus (HPgV) is structurally similar to hepatitis C virus (HCV) and was discovered 20 years ago. Its distribution, natural history and exact rule of this viral group in human hosts remain unclear. Our aim was to determine, by deep next-generation sequencing (NGS), the entire genome sequence of HPgV that was discovered in an Egyptian patient while analyzing HCV sequence from the same patient. We also inspected whether the co-infection of HCV and HPgV will affect the patient response to HCV viral treatment. To the best of our knowledge, this is the first report for a newly isolated HPgV in an Egyptian patient who is co-infected with HCV. CASE PRESENTATION: The deep Next Generation Sequencing (NGS) technique was used to detect HCV sequence in hepatitis C patient's plasma. The results revealed the presence of HPgV with HCV. This co-infection was confirmed using conventional PCR of the HPgV 5' untranslated region. The patient was then subjected to direct-acting-antiviral treatment (DAA). At the end of the treatment, the patient showed a good response to the HCV treatment (i.e., no HCV-RNA was detected in the plasma), while the HPgV-RNA was still detected. Sequence alignment and phylogenetic analyses demonstrated that the detected HPgV was a novel isolate and was not previously published. CONCLUSION: We report a new variant of HPgV in a patient suffering from hepatitis C viral infection.

An insight into synthesis and antitumor activity of citrate and gallate stabilizing gold nanospheres.

Both gallic and citrate are well-established antioxidants that show promise as new selective anti-cancer drugs. Gold nanoparticles (AuNPs) as well can be developed as flexible and nontoxic nano-carriers for anti-cancer drugs. This article evaluating the efficiency and biocompatibility of gallic acid and citrate capping gold nanoparticles to be used as anti-cancer drug. The biosafety and therapeutic efficiency of prepared nano-formulations were tested on Hela and normal BHK cell line. Gold nanospheres coated with citrate and gallate were synthesized via wet chemical reduction method. The prepared nano-formulations, citrate and gallate coated gold nanospheres (Cit-AuNPs and Ga-AuNPs), were characterized with respect to their morphology, FTIR spectra, and physical properties. In addition, to assess their cytotoxicity, cell cycle arrest and flow cytometry to measure biological response were performed. Cit-Au NPs and Ga-Au NPs were shown to significantly reduce the viability of Hela cancer cells. Both G0/G cell cycle arrest and comet assay results showed that genotoxic effect was induced in Hela cells by Cit-Au NPs and Ga-Au NPs. The results of this study showed that Cit-Au NPs and Ga-AuNPs inhibit the growth of metastatic cervical cancer cells, which could have therapeutic implications.

Long non-coding RNAs as novel prognostic biomarkers for breast cancer in Egyptian women.

Breast cancer (BC), the most common type of malignant tumor, is the leading cause of death, having the highest incidence rate among women. The lack of early diagnostic tools is one of the clinical obstacles for BC treatment. The current study was designed to evaluate a panel of long non-coding RNAs (lncRNAs) BC040587, HOTAIR, MALAT1, CCAT1, CCAT2, PVT1, UCA1, SPRY4-IT1, PANDAR, and AK058003-and two mRNAs (SNCG, BDNF) as novel prognostic biomarkers for BC. This study was ethically approved by the Institutional Review Board of the National Cancer Institute, Cairo University. Our study included 75 women recently diagnosed with BC and 25 healthy women as normal controls. Patients were divided into three groups: 24 with benign breast diseases, 28 with metastatic breast cancer (MBC, stage IV), and 23 with non-metastatic breast cancer (NMBC, stage III). LncRNA and mRNA expression levels were measured in patient plasma using quantitative real-time PCR. We found that 10 lncRNAs (BCO40587, HOTAIR, PVT1, CCAT2, PANDAR, CCAT1, UCA1, SPRY4-IT1, AK058003, and MALAT1) and both mRNAs demonstrated at least a 2-fold change in expression with a more than 95% probability of significance. BCO40587 and SNCG were significantly up-regulated in MBC and NMBC patients (3.2- and 4-fold, respectively) compared with normal controls. The expression of UCA1 was repressed by 1.78-fold in MBC and NMBC patients compared with those with benign diseases. SPRY4-IT1 was down-regulated by 1.45-fold in MBC patients compared with NMBC and benign disease patients. Up-regulation of lncRNAs plays an important role in BC development. SNCG and BCO40587 may be potential prognostic markers for BC.The organization number is IORG0003381 (IRB No: IRB00004025).

Her2/EGFR-PDGFR pathway aberrations associated with tamoxifen response in metastatic breast cancer patients.

BACKGROUND: Metastatic breast cancer (MBC) is a major health problem worldwide. Some patients improve on tamoxifen and others do not respond to treatment. Therefore, the aim of the current study is to assess genetic aberrations in the Her2/EGFR-PDGFR pathway associated with tamoxifen response in MBC patients. METHODS: This is a retrospective cohort study, including 157 hormone receptors positive, locally recurrent inoperable and/or MBC patients on tamoxifen treatment. Patients were categorized into 78 (49.7%) tamoxifen responders and 79 (50.3%) tamoxifen non-responder patients. Genetic aberrations of 84 genes involved in the Her2/EGFR-PDGFR pathway were assessed in the tumor tissue samples obtained from the patients using SA-Bioscience assay. The identified panel was correlated to patients' response to treatment, to detect the differentially expressed genes in tamoxifen responders and non-responders. RESULTS: One hundred twenty-three (78.3%) patients were estrogen receptor (ER) and progesterone receptor (PR) positive, 108 (68.8%) were ER only positive, and 78 (49.7%) were PR only positive. There were 56 genes overexpressed in the refractory group compared to responders. However, only five out of these 56 genes, Janus kinase 1 (JAK1), collagen type I alpha 1 (COL1A1), GRB2-associated binding protein 1 (GAB1), fibronectin-1 (FN1), and MAP kinase-interacting serine/threonine-protein kinase (MKNK1), showed statistical significance between the two groups. Patients with bone metastasis showed a better response to treatment compared to those with metastatic deposits in other sites such as visceral metastasis (P < 0.005). CONCLUSIONS: Genetic profiling using simple quantitative real-time polymerase chain reaction (qRT-PCR) protocols could be used to assess response to tamoxifen treatment in MBC patients. According to our data, a five-gene panel in the EGFR pathway (JAK1, COL1A1, GAB1, FN1 and MKNK1) could be used to categorize MBC patients into groups according to treatment response.

Genome sequencing of SARS-CoV-2 in a cohort of Egyptian patients revealed mutation hotspots that are related to clinical outcomes.

BACKGROUND: Severe acute respiratory syndrome-2 (SARS-CoV-2) exhibits a broad spectrum of clinical manifestations. Despite the fact that SARS-CoV-2 has slower evolutionary rate than other coronaviruses, different mutational hotspots have been identified along the SARS-CoV-2 genome. METHODS: We performed whole-genome high throughput sequencing on isolates from 50 Egyptian patients to see if the variation in clinical symptoms was related to mutations in the SARS-CoV-2 genome. Then, we investigated the relationship between the observed mutations and the clinical characteristics of the patients. RESULTS: Among the 36 most common mutations, we found two frameshift deletions linked to an increased risk of shortness of breath, a V6 deletion in the spike glycoprotein's signal peptide region linked to an increased risk of fever, longer fever duration and nasal congestion, and L3606-nsp6 deletion linked to a higher prevalence of cough and conjunctival congestion. S5398L nsp13-helicase was linked to an increased risk of fever duration and progression. The most common mutations (241, 3037, 14,408, and 23,403) were not linked to clinical variability. However, the E3909G-nsp7 variant was more common in children (2-13 years old) and was associated with a shorter duration of symptoms. The duration of fever was significantly reduced with E1363D-nsp3 and E3073A-nsp4. CONCLUSIONS: The most common mutations, D614G/spike-glycoprotein and P4715L/RNA-dependent-RNA-polymerase, were linked to transmissibility regardless of symptom variability. E3909G-nsp7 could explain why children recover so quickly. Nsp6-L3606fs, spike-glycoprotein-V6fs, and nsp13-S5398L variants may be linked to clinical symptom worsening. These variations related to host-virus interactions might open new therapeutic avenues for symptom relief and disease containment.

Characterization of the SARS-CoV-2 genomes in Egypt in first and second waves of infection.

At Wuhan, in December 2019, the SRAS-CoV-2 outbreak was detected and it has been the pandemic worldwide. This study aims to investigate the mutations in sequence of the SARS-CoV-2 genome and characterize the mutation patterns in Egyptian COVID-19 patients during different waves of infection. The samples were collected from 250 COVID-19 patients and the whole genome sequencing was conducted using Next Generation Sequencing. The viral sequence analysis showed 1115 different genome from all Egyptian samples in the second wave mutations including 613 missense mutations, 431 synonymous mutations, 25 upstream gene mutations, 24 downstream gene mutations, 10 frame-shift deletions, and 6 stop gained mutation. The Egyptian genomic strains sequenced in second wave of infection are different to that of the first wave. We observe a shift of lineage prevalence from the strain B.1 to B.1.1.1. Only one case was of the new English B.1.1.7. Few samples have one or two mutations of interest from the Brazil and South Africa isolates. New clade 20B appear by March 2020 and 20D appear by May 2020 till January 2021.

Genomic characterization of SARS-CoV-2 in Egypt.

Introduction: The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread throughout the globe, causing a pandemic. In Egypt over 115,000 individuals were infected so far. Objective: In the present study, the objective is to perform a complete genome sequence of SAR-CoV2 isolated from Egyptian coronavirus disease (COVID-19) patients. Methods: Nasopharyngeal swabs were collected from 61 COVID-19 patients who attended at National Cancer Institute, Kasr Al-Aini Hospital and the army hospital. Viral RNA was extracted and whole genomic sequencing was conducted using Next Generation Sequencing. Results: In all cases, the sequenced virus has at least 99% identity to the reference Wuhan 1. The sequence analysis showed 204 distinct genome variations including 114 missense mutations, 72 synonymous mutations, 1 disruptive in-frame deletion, 7 downstream gene mutations, 6 upstream gene mutations, 3 frame-shift deletions, and 1 in-frame deletion. The most dominant clades were G/GH/GR/O and the dominant type is B. Conclusion: The whole genomic sequence of SARS-CoV2 showed 204 variations in the genomes of the Egyptian isolates, where the Asp614Gly (D614G) substitution is the most common among the samples (60/61). So far, there were no strikingly variations specific to the Egyptian population, at least for this set of samples.

The possible role of Dickkopf-1, Golgi protein- 73 and Midkine as predictors of hepatocarcinogenesis: a review and an Egyptian study.

Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. The use of alpha fetoprotein (AFP) alone was not an accurate biomarker for HCC despite its high specificity. Therefore, we assessed the possible role of serum biomarkers that have been mentioned briefly in previous studies on Egyptian patients ion top of HCV. However these studies included small number of patients and did not assess the different stages of hepatocarcinogenesis. In the current study we assessed 1) the expression levels of Golgi protein 37(GP73),Midkine (MDK) and Dickkopf-1(DKK-1) proteins separately and in combination at different stages of hepatocarcinogenesis. GP73, MDK and DKK-1 proteins were assessed in 238 individuals divided into 4 groups (HCC, chronic HCV, and chronic HCV with cirrhosis and healthy subjects as a control) Serum levels of GP73, MDK, and DKK-1 were assessed in all subjects by ELISA. Serum levels of the studied markers were significantly higher in HCC compared to other groups (p < 0.001). The ROC curve analysis for the studied markers showed 1) 88.5% sensitivity, 80.6% specificity, 69% PPV, 93.5% NPV and (AUC 0.91)for MDK; 2) 93.6%, 86.9%, 77.7%, 96.5% for DKK-1. 3) 91%, 85%, 74.7%, 95% (AUC 0.96) for GP73 and 4) 74.4%, 84.4%, 69.9%, 87.1% (AUC 0.81) for AFP. Serum levels of GP73, MDK, and DKK-1 are comparable to AFP as promising predictor biomarkers for HCC patients from Egypt. A two markers panel including Gp73 and DKK-1 showed the highest specificity and sensitivity among different markers combinations.