High rate of high-risk human papillomavirus among benign and breast cancer patients in Ethiopia.

INTRODUCTION: There have been numerous studies that showed the presence of human papillomavirus (HPV) in breast cancer; nonetheless, there is ongoing debate regarding their association. Given few studies in Ethiopia, we aimed to investigate the magnitude of HPV infection in Ethiopian breast cancer patients. METHODS: A total of 120 formalin-fixed paraffin-embedded (FFPE) tissue blocks were obtained, and basic demographic, clinical, and histological data were collected from medical records. DNA was extracted from archived FFPE breast tissue specimens using GeneRead DNA FFPE Kit. The AnyplexTM II HPV28 Detection Kit (Seegene, Korea) was used to detect HPV by following the manufacturer's instructions. The SPSS Version 25 was used to enter and analyze data. RESULTS: Among the 120 study participants; HPV (both high-risk and low-risk) was detected in 20.6% of breast cancer and 29.6% of non-malignant breast tumors. The most common genotype was the high-risk HPV 16 genotype. The frequency of HPV was nearly 10-fold higher in estrogen receptor-positive than ER-negative breast cancer. The percentage of HPV in the luminal (luminal A and luminal B) breast cancer subtypes was also much higher than in the non-luminal subtypes (HER-2 enriched and triple-negative breast cancer). CONCLUSION: This study did not find a significant difference in HPV expression between breast cancer and non-malignant breast tumors; however, the higher percentage of HPV in ER-positive compared to ER-negative breast cancer warrants further attention.

High rate of non-vaccine targeted high-risk HPV genotypes circulate among women in Eastern Ethiopia.

The World Health Organization [WHO] recommends a genotype-specific human papillomavirus [HPV] vaccination as a primary prevention strategy to control the burden of cervical cancer globally. In Ethiopia, where the non-vaccine-targeted HPV genotypes have not been adequately studied, a vaccination initiative was launched in 2018 targeting HPV-6,-11, -16, and -18 for girls aged 14-18 years. The co-existence of both vaccine-targeted and non-targeted genotypes is a serious concern, as it can accelerate cancer progression. Therefore, this study was conducted to determine the prevalence of non-vaccine-targeted HPV genotypes and assess the level of multiple infections with other genotypes in eastern Ethiopia. A health facility-based cross-sectional study including 110 women with positive HPV DNA results was conducted from April to August 2021. A structured questionnaire to collect demographic and clinical data was used. Cervical swabs were collected using L-shaped FLOQSwabs. Women's cytological profile was determined based on Pap smear test results. An automated nucleic acid extraction system using STARMag 96 ProPrep Universal Extraction Kit was utilized following the manufacturer's protocol. An amplification assay in real-time was employed to amplify and identify the HPV Late 1 [L1] gene, which is utilized for genotyping purposes. Following this, the collected data was entered into Epi data version 3.1 software, and the analysis was performed using STATA version 14. A total of 110 women [age range 30-60 years, mean age = 36.5 years and SD ± 6.9] had positive HPV DNA results and were included in the study. Among these, 108 women had valid co-testing [Pap test and HPV DNA test] results for further analysis, and the results of the remaining 2 women were rejected. Overall, the prevalence of non-vaccine-targeted HPV was 56 (51.8%, 95%CI [0.42, 0.61]), of which 28 women (25.4%, 95%CI [0.18, 0.34]) had a single non-vaccine HPV genotype infection. The remaining 29 women (26.4%, 95% CI: 0.190-0.355) experienced multiple infections. The non-vaccine-targeted genotypes of HPV-35 accounted for 11 cases (10%, 95%CI [0.06, 0.17]), HPV-68 was detected in 9 women (8.2%, 95%CI [0.04, 0.15]), HPV-56 and HPV-66 were both found in 8 cases each (7.3%, 95%CI [0.04, 0.14]) of the total. In addition, out of these 108 women, 93 (86.1%, 95%CI [0.78, 0.91]) had low-grade squamous intraepithelial lesions, 13 (12%, 95%CI [0.07, 0.20]) no intraepithelial lesion or malignancy, and two (1.9%, 95%CI [0.01, 0.07]) high-grade squamous intraepithelial lesions. Furthermore, there was no statistical difference [p = 0.755] between vaccine-targeted and non-vaccine-targeted genotypes as the primary cause of cervical lesions. In conclusion, the findings of the present study highlight the existence of a notable prevalence of multiple infections caused by non-vaccine-targeted HPV genotypes. Therefore, it is recommended that both the Federal and regional health bureaus to evaluate the range of hr HPV genotypes protected by the current HPV vaccine and explore the option of transitioning from the quadrivalent HPV vaccine to a novavalent vaccine that includes seven high-risk HPV genotypes.

The expression of matrix metalloproteinase 2, 9 and 11 in Ethiopian breast cancer patients.

INTRODUCTION: Matrix metalloproteinases (MMPs) play a pathophysiological role in cancer initiation and progression. Numerous studies have examined an association between MMP-2, MMP-9, and MMP-11 expression and clinicopathological characteristics of breast cancer (BC); however, no research has been done on the MMP expression levels in BC cases from Ethiopia. MATERIALS AND METHODS: A total of 58 formalin-fixed paraffin-embedded breast tissue samples encompassing 16 benign breast tumors and 42 BC were collected. The RNA was extracted and quantitative reverse-transcription PCR was performed. GraphPad Prism version 8.0.0 was used for statistical analysis. RESULTS: The MMP-11 expression levels were significantly higher in breast cancer cases than in benign breast tumors (P = 0.012). Additionally, BC cases with positive lymph nodes and ER-positive receptors had higher MMP-11, MMP-9, and MMP-2 expression than cases with negative lymph nodes and ER-negative, respectively. The MMP-11 and MMP-9 expressions were higher in grade III and luminal A-like tumors than in grade I-II and other subtypes, respectively. CONCLUSION: The MMP-11 expression was higher in BC than in benign breast tumors. Additionally, MMP-11, MMP-9, and MMP-2 were higher in BC with positive lymph nodes and estrogen receptors. Our findings suggest an important impact of MMPs in BC pathophysiology, particularly MMP-11.

Low level of HIV-1C integrase strand transfer inhibitor resistance mutations among recently diagnosed ART-naive Ethiopians.

With the widespread use of Integrase strand transfer inhibitors (INSTIs), surveillance of HIV-1 pretreatment drug resistance is critical in optimizing antiretroviral treatment efficacy. However, despite the introduction of these drugs, data concerning their resistance mutations (RMs) is still limited in Ethiopia. Thus, this study aimed to assess INSTI RMs and polymorphisms at the gene locus coding for Integrase (IN) among viral isolates from ART-naive HIV-1 infected Ethiopian population. This was a cross-sectional study involving isolation of HIV-1 from plasma of 49 newly diagnosed drug-naive HIV-1 infected individuals in Addis-Ababa during the period between June to December 2018. The IN region covering the first 263 codons of blood samples was amplified and sequenced using an in-house assay. INSTIs RMs were examined using calibrated population resistance tool version 8.0 from Stanford HIV drug resistance database while both REGA version 3 online HIV-1 subtyping tool and the jumping profile Hidden Markov Model from GOBICS were used to examine HIV-1 genetic diversity. Among the 49 study participants, 1 (1/49; 2%) harbored a major INSTIs RM (R263K). In addition, blood specimens from 14 (14/49; 28.5%) patients had accessory mutations. Among these, the M50I accessory mutation was observed in a highest frequency (13/49; 28.3%) followed by L74I (1/49; 2%), S119R (1/49; 2%), and S230N (1/49; 2%). Concerning HIV-1 subtype distribution, all the entire study subjects were detected to harbor HIV-1C strain as per the IN gene analysis. This study showed that the level of primary HIV-1 drug resistance to INSTIs is still low in Ethiopia reflecting the cumulative natural occurrence of these mutations in the absence of selective drug pressure and supports the use of INSTIs in the country. However, continues monitoring of drug resistance should be enhanced since the virus potentially develop resistance to this drug classes as time goes by.

Saliva is superior over nasopharyngeal swab for detecting SARS-CoV2 in COVID-19 patients.

Scaling up of diagnostic capacity is needed to mitigate the global pandemic of SARS-CoV2. However, there are challenges including shortage of sample collection swabs and transport medium. Saliva has been recommended as a simple, low-cost, non-invasive option. However, data from different populations and settings are limited. Here, we showed that saliva could be a good alternative sample to diagnose COVID-19 patients. Pair of NPS-saliva samples was collected from 152 symptomatic; confirmed COVID-19 patients, and compared their positivity rate, viral load, and duration of viral shedding. From 152 patients, 80 (52.63%) tested positive and 72 (47.37%) were negative for SARSA-CoV2 in NPS sample. In saliva, 129 (92.14%) were tested positive and 11 (7.86%) were negative on the day of admission to hospital. The overall percent agreement of RT-PCR result of Saliva to NPS was 70% (196/280). A comparison of viral load from 72 NPS-saliva pair samples on day of admission shows saliva contains significantly higher viral load (P < 0.001). In conclusion, saliva has higher yield in detecting SARS-CoV2, and COVID-19 patients show higher viral load and prolonged period of viral shedding in saliva. Therefore, we recommend saliva as a better alternative sample to NPS to diagnose COVID-19 patients.

Whole-Genome Sequences of SARS-CoV-2 Isolates from Ethiopian Patients.

Three complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Ethiopian patients were compared with deposited global genomes. Two genomes belonged to genetic group 20A/B.1/GH, and the other belonged to genetic group 20A/B.1.480/GH. Enhancing genomic capacity is important to investigate the transmission and to monitor the evolution and mutational patterns of SARS-CoV-2 in this country.

Evaluation of sample pooling for screening of SARS CoV-2.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has revealed the global public health importance of robust diagnostic testing. To overcome the challenge of nucleic acid (NA) extraction and testing kit availability, an efficient method is urgently needed. OBJECTIVES: To establish an efficient, time and resource-saving and cost-effective methods, and to propose an ad hoc pooling approach for mass screening of SARS-CoV-2. METHODS: We evaluated pooling approach on both direct clinical and NA samples. The standard reverse transcriptase polymerase chain reaction (RT-PCR) test of the SARS CoV-2 was employed targeting the nucleocapsid (N) and open reading frame (ORF1ab) genomic region of the virus. The experimental pools were created using SARS CoV-2 positive clinical samples and extracted RNA spiked with up to 9 negative samples. For the direct clinical samples viral NA was extracted from each pool to a final extraction volume of 200µL, and subsequently both samples tested using the SARS CoV-2 RT-PCR assay. RESULTS: We found that a single positive sample can be amplified and detected in pools of up to 7 samples depending on the cycle threshold (Ct) value of the original sample, corresponding to high, and low SARS CoV-2 viral copies per reaction. However, to minimize false negativity of the assay with pooling strategies and with unknown false negativity rate of the assay under validation, we recommend pooling of 4/5 in 1 using the standard protocols of the assay, reagents and equipment. The predictive algorithm indicated a pooling ratio of 5 in 1 was expected to retain accuracy of the test irrespective of the Ct value samples spiked, and result in a 137% increase in testing efficiency. CONCLUSIONS: The approaches showed its concept in easily customized and resource-saving manner and would allow expanding of current screening capacities and enable the expansion of detection in the community. We recommend clinical sample pooling of 4 or 5 in 1. However, we don't advise pooling of clinical samples when disease prevalence is greater than 7%; particularly when sample size is large.