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A Bibliometric Analysis of AI Trends in the AEC Industry
(Preprints, 2025-09) Adewale, B. A.; Ene, Vincent Onyedikachi; Aigbavboa, Clinton Ohis
This study employs a comprehensive bibliometric analysis to examine the evolving landscape of Artificial Intelligence (AI) research within the Architecture, Engineering, and Construction (AEC) industry over the past decade. Through systematic analysis of 68 publications from the Scopus database, utilizing co-authorship networks, citation analysis, and keyword co-occurrence mapping, the research reveals significant patterns and trends in AI adoption and research focus. The findings indicate a rapid growth in research output, with China, the United States, and the United Kingdom emerging as leading contributors. The analysis identifies four primary research clusters: AI integration across AEC processes, building lifecycle applications, digital technologies convergence, and automation techniques. A temporal evolution is observed, transitioning from basic automation to sophisticated applications involving machine learning, digital twins, and deep learning. The study highlights geographical disparities in research contributions and emphasizes the need for standardization in AI implementation. By providing insights into research trends, collaborative networks, and evolving focus areas, this analysis contributes to a deeper understanding of AI's role in transforming the AEC industry. The findings can guide future research directions, inform industry practitioners about emerging technologies, and support policymakers in developing frameworks for AI adoption in construction, ultimately facilitating more effective and responsible integration of AI technologies in AEC practices.
A censorious appraisal of the oil well acidizing corrosion inhibitors
(Journal of Petroleum Science and Engineering 215, 2022) Solomon, Moses M.; Uzoma, Ifeanyi E.; Olugbuyiro, Joseph A.O.; Ademosun, Olabisi T.
Well acidizing is a common stimulation technique for maximizing the output of oil reservoirs. It helps to overcome the low permeability of wellbore by creating new flow channels or enlarging old ones. Corrosion challenge is encountered during the process since tubings are metallic. Corrosion inhibitors are the defence mechanism used in mitigating corrosion problem during acidizing. This review has identified and grouped acidizing corrosion inhibitors into organic-, and polymer-based. The performance of these inhibitors at temperatures of ≥60 ◦C and acid concentration of ≥15 wt% is considered. It is noted that greater percentage of studies revolve round the 60 ◦C. Above 100 ◦C, the number of scientific articles decreased considerably. Four classes of intensifiers for acidizing corrosion inhibitors have been identified: formic acid, potassium iodide, copper iodide, and antimony chloride. Their chemistries have been discussed. The research gaps identified include (i) scanty information on acidizing inhibitors at temperatures ≥150 ◦C, (ii) limited information on natural polymers and plant biomaterials as acidizing inhibitors, (iii) scanty information on the mechanism of inhibition at temperatures ≥150 ◦C, and (v) limited information on the composition of corrosion products under acidizing conditions. Thus, recommendations for future researches have been given.
A COMPUTATIONAL FRAMEWORK FOR PREDICTING COMPOUNDPROTEIN INTERACTION FOR PROSTATE CANCER THERAPEUTIC DISCOVERY
(Covenant University Ota, 2025-08) AGBI, Mayowa; Covenant University Dissertation
Prostate cancer (PCa) is a major public health issue globally. In sub-Saharan Africa, with its limited number of diagnostic and treatment resources, it accounts for high mortality. The conventional approach to drug discovery is lengthy, expensive, and often insufficient to address the complex treatment-resistant prostate cancers present. In this study, a deep learning computational framework to predict Compound-Protein Interactions (CPI) for prostate cancer drug discovery was developed. An end-to-end machine learning pipeline was implemented using curated datasets from Zenodo, ChEMBL, BindingDB, and UniProt. Molecular representations for compounds were constructed using 2048-bit Morgan fingerprints, dimensionally reduced to 200 via Principal Component Analysis (PCA), and for the proteins, 100-dimensional 3-mer Word2Vec embeddings were used. These features were fed into a double-input deep neural network that was optimized with binary-cross-entropy loss, the Adam optimizer, and dropout regularization. The model identified five novel bioactive compounds for targeting proteins of prostate cancer biomarkers. Model confidence was used to prioritize predicted interactions for AR, SRC, and EGFR. Molecular docking in PyRx and AutoDock Vina, followed by visualization in Discovery Studio supporting strong binding affinity (-7.2 to -10) and complementarity from the structural point of view, constituting therapeutic potential. An integration of molecular docking enriched translational value to the prediction. The results presented here point to a disease-specific platform for in silico drug discovery in prostate cancer. This study opens a very promising path toward giving priority to candidate compounds by coupling the deep learning with structure-based affirmation. It provides a very viable ground to be merged with experimental validation and combinatorial therapy design, thereby taking one step further into machine learning-assisted precision oncology.
A MULTI-DOCUMENT SUMMARIZATION APPROACH FOR QUERY-DRIVEN NON-FACTOID QUESTION-ANSWERING SYSTEM
(Covenant University Ota, 2025-07) EFOSA-ZUWA, Emmanuel Temidire; Covenant University Dissertation
In Natural Language Processing (NLP), Question Answering Systems (QAS) are essential for facilitating efficient access to relevant information. Traditional QAS approaches typically involve decomposing user queries, retrieving relevant documents, and ranking potential answers, often struggle with non-factoid questions that require detailed, context-rich responses synthesized from multiple sources. While existing research has focused heavily on passage selection and ranking, many methods fail to produce a coherent answer, leaving the challenge of multi-source summarization largely unresolved. This study presents a transfer learning-based QAS framework that addresses non-factoid queries through multi-source summarization. The framework follows a multi-stage methodology incorporating question paraphrasing, contradiction detection, sentence embedding and pruning, and a hybrid approach combining extractive and abstractive summarization techniques. Quantitative and qualitative analyses were conducted using benchmark datasets, including WikiHow QA and PubMedQA to evaluate its effectiveness. The proposed system achieved strong quantitative results, with scores on WikiHow QA (ROUGE-1: 34.10, ROUGE-2: 12.30, ROUGE-L: 32.10, BLEU: 25.14, BERTScore: 95.17) and PubMedQA (ROUGE-1: 42.30, ROUGE-2: 16.10, ROUGE-L: 33.40, BLEU: 31.66, BERTScore: 95.72), demonstrating its ability to generate accurate and contextually relevant answers. Qualitative evaluations also yielded promising outcomes, with average ratings of 4.37 for information, 4.16 for conciseness, 4.20 for readability, and 4.01 for correctness on a 5-point scale, confirming the model’s effectiveness in delivering accurate and comprehensible responses. This transfer learning-based QAS framework contributes meaningfully to advancements in NLP and offers valuable support for researchers and developers working on intelligent, explainable, and practical question answering systems.
A possible role of urinary genotoxic Escherichia coli in prostate cancer in Nigerian patients
(BMC Research Notes, 2025) Akinpelu, Sharon O.; Olasehinde, Grace I.; Akinnola, Olayemi O.
Objective Infection and inflammation are potential initiating factors for the development and progression of prostate cancer. This study investigated the presence of bacterial genotoxins; colibactin (clb) and cytolethal distending toxin (cdt) in Escherichia coli isolated from urine samples of individuals diagnosed with prostate cancer as well as those with benign prostatic hyperplasia. E. coli was isolated from urine samples from prostate cancer patients (cases, n = 30) and men with benign prostate hyperplasia (controls, n = 40). The presence of colibactin (clb) and cytolethal distending toxin (cdt) genes was evaluated in E. coli isolates using polymerase chain reaction. Results The frequency of E. coli was 36.0% of prostate cancer patients and 30.0% of controls, respectively (p = 0.557). Furthermore, there was a higher occurrence of the clb gene in cases compared to controls (36.4% vs. 8.3%). Cytolethal distending toxin (cdt) gene was absent in all isolates examined. The analysis revealed no significant relationship between the selected genotoxins and prostate cancer (p = 0.104). The Gleason grade of the cancer was not a major determinant in the occurrence of clb within the cancer cases. The present study is the first report investigating bacterial genotoxins in urine samples of Nigerian prostate cancer patients. Our findings showed no association between bacterial genotoxins and prostate cancer. Additional investigations are warranted to further investigate the role of bacterial genotoxins in prostate cancer development.
A review of sustainable housing preferences and affordability
(7th International Conference on Science and Sustainable Development and Workshop, 2024) Mushanga, S.; OLOKE, Olayinka C.; Olukanni, D. O.
The review examined the potential connections between sustainable housing, and sustainable affordability of such housing while meeting the housing preferences of various households. It is widely known that many lower-income countries are facing a housing crisis, and it is crucial to address this issue by providing affordable housing that meets individual needs while also promoting environmentally friendly living. This review paper Is centered on the research question: How can sustainable housing be made more affordable and accessible to all households while meeting their housing preferences? A qualitative study of 66 publications from 2019 to September 2023 found that sustainable housing offers ecological and energy-efficient benefits, but there are barriers to scaling up these models, including economic, cultural, and legal challenges. Housing preferences are influenced by factors such as cost, location, and amenities, with affordability being a significant concern. While environmental and economic sustainability can positively impact housing prices in turn affect the affordability of such housing, the initial investment costs can be challenging for lower-middle-income households. The review further established that Sustainable housing, housing preference, and affordability are broad topics that have been explored by many researchers. However, there are still some research gaps that need to be addressed. There is a significant gap in how sustainable housing can be made affordable to all households while meeting their housing preference hence the need to explore the intersection between sustainable housing, housing preference, and affordability by carrying out empirical research to identify ways in which sustainable housing can be designed and built to meet the needs and preferences of low-income households while remaining affordable.
A ReviewofNovelCancerTherapeuticsandCurrent Research Trends
(Wiley The Scientific World Journal Volume 2025, 2025) Oluwajembola, Abimbola Mary; Zakari, Suleiman; Cleanclay, Wisdom D.; Ayeni, Timothy; Adebosoye, Adewale; Okoh, Olayinka S.; Folamade, Joshua; Bawa, Inalegwu; Ogunlana, OlubankeOlujoke
The uncheckedgrowthandspreadofaberrantcellsdescribeawidelydiversecollectionofdisordersthatcollectivelyconstitute cancer. Conventionaltherapiesforcancer,includingradiationtherapy,chemotherapy,andsurgery,haveincreasedthechances of survivalsignificantly inmostpatients.Thesetraditionalmethodsusuallyresultinlowtumorortumorcellspecificity, significant systemictoxicity,andthedevelopmentofdrugresistance.Thisreviewsummarizesupdatesincancertherapy,some of whichincludecutting-edgetherapiesrepresentedbyCAR-Ttherapy,targetedtherapies,genetherapy,arginine-depriving therapy, mitochondria-targetedtherapies,neutrophil-targetedtherapies,andthelatestPROTACtechnologyforproteolysis- targeting chimera.Ithasemphasizedmechanismsunderlyingthesenewtherapeuticstrategiesandtheirtranslationalpotential for treatinghumancancers.Wefurtherdiscuss,foreachapproach,thechallenges,limitations,sideeffects, anddelivery systems. Thereviewproceedswithadynamicchangeinthelandscapeofcancerresearchinbiology,wheremachinelearning and artificial intelligenceareincreasinglyimportanttoimproveourunderstandingofthemechanismsofcancerandtreatment responses. Wealsodescribethepotentialofstemcelltherapy,metabolomics,andnoveldrugdeliverysystemstowardbetter patient outcomes.Thepaperpullstogethersomeofthecurrentresearch findings andresultsofclinicaltrialsinnew therapeutic developmentsandemergingareasofresearchthatholdoutexcitingpromisesforthefutureprogressofcancer treatment
A Snapshot of Nigeria’s Biodiversity Loss: Architectural Implications
(Preprints, 2024-08) Babalola, Daniel Olatunde; Ndimako, Onyedikachukwu; Nduka-Kalu, Chidinma
Biodiversity loss poses a significant threat to ecosystems and human well-being globally, with Nigeria no exception. This article delves into the architectural implications of biodiversity loss in Nigeria, exploring the multifaceted factors contributing to this phenomenon and its ramifications for architectural practice. The discussion encompasses the adverse impacts of deforestation, pollution, and climate change on Nigeria's rich biodiversity and the challenges and opportunities they present for architects. Through examining case studies and examples, the article highlights innovative architectural projects that address biodiversity loss while promoting sustainable design principles. Moreover, it elucidates the importance of interdisciplinary collaboration between architects, biologists, and policymakers in developing effective mitigation and adaptation strategies. Ultimately, this article underscores the urgent need for architects to integrate biodiversity conservation into their practices and advocates for policy interventions that prioritise the preservation of Nigeria's natural heritage.
A STUDY OF BIOPHILIC DESIGN STRATEGIES FOR THE DESIGN OF A CONDOMINIUM IN PORT HARCOURT, NIGERIA
(Covenant University Ota, 2025-05) LEBELE-ALAWA, Gold Tonubari; Covenant University Dissertation
Urbanization in Port Harcourt, Nigeria, has significantly increased the demand for high-density residential solutions, particularly condominiums. However, many of these developments tend to neglect the significance of nature-centric design strategies, which are crucial for occupant well-being. Biophilic design—an approach that incorporates natural elements into architectural spaces—presents an effective solution for enhancing the quality of life in urban settings. This study explored the relevance and impacts of biophilic design strategies within high-rise condominiums in Port Harcourt. Its objectives include identifying effective biophilic elements, evaluating their application, and assessing their effect on resident satisfaction and well-being. Utilizing a mixed-methods approach, the research integrated a literature review, case studies, observational analysis, and structured surveys across selected condominium developments. The findings highlighted a prevalent underutilization of biophilic features such as natural lighting, ventilation, green spaces, and water elements. Nevertheless, in instances where these features were implemented, they positively influenced thermal comfort, psychological wellness, and overall user satisfaction. The study concluded with a proposal for a context-sensitive biophilic condominium design that aligns with the climatic and urban realities of Port Harcourt. Recommendations were made to promote policy-driven biophilic adoption and culturally adaptive sustainable architecture, aiming to improve urban residential quality while aligning with global sustainability objectives.
Abstract 1310: Social determinants of migrant health factors impacting prostate cancer care and survivorship among sub-Saharan African immigrant men diagnosed with prostate cancer
(Volume 84, Issue 6_Supplement POSTER PRESENTATIONS - PROFFERED ABSTRACTS, 2024-03-15) Kaninjing, Ernest; Asiedu, Gladys; Voorhis, Kaitlin Va; Young, Mary Ellen; Erefah, Ebenezer; Agboola, Emmanuel; Odedina, Folakemi; Dronca, Roxana S.; Ashing, Kimlin; Rotimi, Solomon; Ngufor, Che; Merriweather, Arnola; McCall, John; Hill, Anthony
Abstract 2230: Connecting Black men to point of prostate cancer diagnosis (PPCD) support using precision intervention based on Virtual Reality Assistant (ViRA)
(Volume 84, Issue 6_Supplement POSTER PRESENTATIONS - PROFFERED ABSTRACTS, 2024-03-15) Odedina, Folakemi T.; Ngufor, Che; Merriweather, Arnold; Pereira, Deidre; Dronca, Roxana S.; Kaninjing, Ernest; Ashing, Kimlin; Rotimi, Solomon; Gordon, Vinessa
Background: The point of prostate cancer (CaP) diagnosis (PPCD) instantly leads to a life changing experience for Black men, with diverse emotional reactions that includes fear, denial, overwhelmingness, cancer fatalism etc. Black men diagnosed with CaP expressed several needs at the PPCD, including time to reflect on the diagnosis, being comfortable, emotional support, psycho-oncology support and social determinants of health (SDOH) navigation. Given that Black men are diverse in terms of their needs at the PPCD, precision intervention is needed to support them. Aim: The aim was to develop, implement, and establish the acceptance and usability of a Virtual Reality Assistant (ViRA) that will provide precision intervention tailored to the needs of Black men at the PPCD. This study is one of the five iCCaRE for Black Men projects focused on survivorship care. Methodology: The development of the ViRA was guided by CaP survivors through qualitative study. Reflective, analytic, and interpretive memos were used to generate action plans for the development of the ViRA. Based on a comprehensive PPCD ViRA intervention guide created by the team, the ViRA prototype was developed with mobile immersive technologies that integrated SDOH navigation, standard CaP psycho oncology support and emotional support. The goal was to have the intervention personalized to everyone based on participant-provided information. Alpha testing of the ViRA is ongoing and will be completed on November 20, 2023. Participants are three prostate cancer survivors and three clinicians. The assessments will confirm the accuracy of the ViRA predictions and the functionality of the ViRA. Results: We developed the ViRA SDOH screening and navigation tool to identify participants’ needs and appropriately connect them with relevant support services and resources in their communities. The emotional support intervention was based on four CaP survivors as virtual reality avatars, providing empathetic rapport through self disclosure and sharing of survivorship stories in different settings (home, clinic, barbershop etc). The psycho-oncology support intervention was developed with the guidance of a psycho-oncologist, with her avatar providing psychoeducation about the PPCD experience, reify and concretize the PPCD experience, and foster hope using the basic tenets of Problem-Solving Therapy. The results of the alpha testing and the modified ViRA will be presented during the conference. Conclusion: Meeting the needs of Black men at the PPCD requires a personalized and decentralized approach, which would allow Black men to access support anywhere. The presentation will unveil the iCCaRE ViRA, a smart and connected personalized AR enabled intervention that will deliver SDOH navigation, CaP psycho-oncology support and emotional support tailored to the needs of Black men.
Abstract 3455: Prevalence of monoclonal gammopathy of undetermined significance (MGUS) in a Western Nigerian population
(Volume 84, Issue 6_Supplement POSTER PRESENTATIONS - PROFFERED ABSTRACTS, 2024-03-15) Vachon, Celine M; Allmer, Cristine; Moonen, Danelle; Norman, Aaron; Cook, Joselle; Slager, Susan; Rotimi, Oluwakemi A.; De Campos, Opeyemi C; Dokumu, Titilope M.; Murray, David; Kumar, Shaji; Brown, Elizabeth; Baughnm, Linda B; Rotimi, Solomon
Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant condition characterized by plasma cell production of monoclonal (M) protein and is a requisite precursor to multiple myeloma (MM). African American (AA) individuals have a two-fold higher incidence of MGUS and MM compared to White individuals. However, data are limited on individuals from Africa, especially using sensitive MGUS detection methods. We examined the prevalence of MGUS in a sample of the general population in Nigeria. Individuals aged 40 and over (n=343) were recruited through health promotion events in Ado-Odo Ota Local Government Area of Ogun State, Nigeria, and provided informed consent, a blood sample, and a short questionnaire. Serum was screened at Mayo Clinic for heavy chain (HC)-MGUS using the matrix-assisted laser desorption/ionization-time of flight (Mass-Fix) assay, which has high sensitivity for detection of M-proteins; serum free light chains (FLC) were also measured. FLC was abnormal if the kappa (>0.26 mg/dL) or lambda (>0.33 mg/dL) light chain (LC) was elevated and FLC ratio (kappa/lambda) was outside the reference range (0.26-3.10). LC-MGUS was defined as an abnormal FLC in the absence of a HC. Age- and sex adjusted prevalence rates were directly standardized to 2010 United States (US) population for comparison to published studies. Logistic regression was used to examine the association of age, sex, and BMI with HC-MGUS. The mean age of participants was 55 years (SD=10.9), and 74.6% were female. Of these, 216 (63%) had both parents from the Yoruba tribe, 89 (26%) from the Igbo tribe and 38 (11%) from other tribes. Overall, 33 participants (9.6%) had HC-MGUS, with 8 (2.3%) having an M protein above 0.2 g/dL; 6 (1.7%) had LC-MGUS. HC-MGUS was predominantly IgG isotype (48.5%), followed by IgA (27.3%), biclonal (15.2%) and IgM (9.0%). Prevalence of HC-MGUS was 8.3% for ages 40-49, 7.7% ages 50-69 and 22% ages 70 and above. Standardized to the US population, age and sex adjusted MGUS prevalence ages 50 and older was 17.3% (95% CI: 9.8%-24.9%) and HC-MGUS was 14.7% (95% CI: 7.7% 21.8%), similar to previously published rates of HC-MGUS using Mass-Fix screening of AA individuals (16.5%, 95% CI: 12.2%-20.8%) (PMID: 35316833). In models that included age, sex and BMI, older age was positively associated with HC-MGUS (OR=3.1, 95% CI: 1.1-8.7 for ages 70+ compared to <50), while female sex (OR=0.53, 95% CI: 0.24-1.2) and overweight/obesity (OR=0.34, 95% CI: 0.16-0.75 for BMI > 25 vs. <25) were inversely associated with HC-MGUS. We observed similar prevalence of HC MGUS at ages 50 and above among Western Nigerian and AA populations when screened using mass-spectrometry. Older age was positively associated with HC MGUS while overweight and obesity were inversely associated. Studies of MGUS in indigenous African populations may provide insight to unique cancer risk factors compared to other populations.
Abstract 4343: Revealing ovarian cancer copy number variation in single cells
(American Association for Cancer Research Cancer Res (2024) 84 (6_Supplement): 4343, 2024-03-15) Jin, Yuxin; Bassiouni, Rania; Rania, Lee D.; Qian, Jing; Rotimi, Solomon; Webb, Michelle G.; Rajpara, Seeta; Craig, David W.; Roman, Lynda D.; Carpten, John D.
The mortality rate associated with ovarian cancer (OvCa) is disproportionately high in comparison to its incidence rate. This is partly due to the heterogeneous nature of the disease, which reduces treatment efficacy and contributes to high rates of relapse and chemotherapy resistance. Most OvCa are epithelial in origin and can be classified into four main subtypes: serous, mucinous, endometrioid, and clear cell. Of these, high grade serous ovarian cancer (HGSOC) is the deadliest. Epithelial ovarian carcinomas (EOC) typically exhibit widespread chromosomal and arm-level copy number abnormalities across most of the genome; in HGSOC, focal amplifications and microdeletions are especially prevalent and indicative of high genomic instability. To understand the heterogeneity of aneuploidy in EOC and HGSOC, we performe single-cell whole genome sequencing on four EOC samples: two HGSOC, one clear cell, and one mixed clear cell and endometrioid. All samples were late stage and treatment naïve, and one sample had a known BRCA2 mutation. Sequencing data was processed by two complementary methods to call copy number alterations. First, we used the Cell Ranger DNA pipeline (10x Genomics) to align cell-identified sequencing reads to human reference genome GRCh38 for coverage-based copy number estimation. Resulting copy number calls were cleaned up for mappability, quality, and noisiness. Each sample was then subject to clustering and subclustering analysis using maximum likelihood genetic clustering algorithms. All samples exhibited a high level of aneuploidy, including characteristic alterations known to be associated with EOC. Two tumors contained readily distinguishable clonal populations, and all samples contained main tumor clones that could be further divided by unique subclonal characteristics. Evidence of polyploidy was also seen in all four specimens, with some tumor clusters exhibiting triploid and tetraploid baselines. In parallel, sequencing data was analyzed by the Copy-number Haplotype Inference in Single-cell by Evolutionary Links (CHISEL) algorithm. CHISEL utilizes both binned read depth ratio and B-allele frequency data to determine allele- and haplotype-specific copy numbers in single cells. Results from CHISEL confirmed the copy number calls from Cell Ranger DNA, and revealed widespread loss of heterozygosity in all samples. These findings were corroborated with allele-specific copy number data derived from matched tumor-normal whole exome sequencing. Furthermore, CHISEL detected polyploidy in one-third of the tumor cells with no preference for the A or B alleles. Overall, our findings highlight that the known heterogeneity of ovarian cancer extends to the level of aneuploidy and CNAs, shedding light on factors which pose significant barriers to effective personalized medicine implementation.
Abstract 6346: The chromatin remodeler SMARCA5 selectively shapes nuclear receptor signaling in African American prostate cancer
(Cancer Res (2025) 85 (8_Supplement_1):, 2025-04-15) Hussain, Shahid; Nayak, Debasis; Wani, Sajad A.; Elhussin, Isra; Freeman, Michael R.; Coss, Christopher C.; Rotimi, Solomon O; Murphy, Adam R.; Yates. Clayton; Campbell, Moray J.
Motif enrichment in H3K27ac revealed significant differences with Helix-Loop-Helix motifs enriched in RC43N compared to HPr1AR; and STAT motifs enriched in RC43T compared to LNCaP. Similarly, nuclear receptor (NR) motifs were distinct with vitamin D receptor (VDR) and orphan receptors (e.g., RORG) enriched in RC43T compared to LNCaP. Next we up-regulated SMARCA5’s using dCas9-VP64-activator in the same cells and tested the impact on gene expression with RNA-Seq following treatment with the VDR ligand (1, 25(OH)2D3, 100nM). SMARCA5 regulated ∼1200 genes in both RC43T and RC77T, and only ∼200 genes in LNCaP. The SMARCA5-dependent genes in AA PCa cells models were significantly enriched for luminal-differentiation genes. Likewise, in the AA compared to EA PCa models, GSEA analyses revealed enrichment for inflammation responses, and distinct NR signaling, such as progesterone signaling. Likewise LISA analyses revealed enrichment in the SMARCA5-dependent genes in AA PCa for progesterone signaling. Finally, we also identified a subset of miRNA related to differentiation that were uniquely regulated in AA PCa models by 1, 25(OH)2D3 and a significant number were also SMARCA5-dependent. Ongoing studies are addressing the effect of SMARCA5 on chromatin accessibility using ATAC-Seq. Overall, these studies support the concept the epigenome is shaped by genomic ancestry. The epigenomic-regulator SMARCA5 is significantly downregulated in AA PCa and impacts NRs, including VDR signaling. These findings suggest that African ancestry shapes SMARCA5 functions, NR signaling, and tumor outcomes.
Abstract 819: Feasibility of patient centered home care (PCHC) to reduce disparities in high-risk black men with advanced prostate cancer
(Volume 84, Issue 6_Supplement POSTER PRESENTATIONS - PROFFERED ABSTRACTS, 2024-03-15) Dronca, Roxana S.; Odedina, Folakemi; Ngufor, Che; Ashing, Kimlin; Kaninjing, Ernest; Rotimi, Solomon
The objective of our study is to evaluate the feasibility, acceptance, and impact of patient-centered home care (PCHC) on patient reported outcomes (PROs) and health related quality of life (HQoL) of black men with advanced prostate cancer (CaP). Meeting patients where they are and offering treatment in or closer to their homes reduce psychological distress and increase treatment compliance, especially for disadvantaged patients in rural areas, those on low incomes, with poor access to transport, elderly and people with disabilities. In 2023, Mayo Clinic has developed the Cancer Care Beyond Walls (CCBW) program, a cancer care delivery model that integrates virtual with in facility treatment and provides a package of care to support administration of cancer-directed therapy (chemotherapy, immunotherapy, hormonal therapy) and/or supportive care in the patients’ homes. Our study will assess if patients and families are comfortable with cancer therapy at home, what factors influences their decision, and use this data to inform our understanding of the proportion of the black men with advanced CaP who would be willing to receive and would benefit from this level of care at home. Patients with advanced CaP from our practice requiring active anti-cancer therapy are administered a brief questionnaire regarding preference for location of therapy at the infusion center or in the home, with perceived difficulties and advantages of each approach. A focus group session with prostate cancer survivor advocates is also conducted to capture patients’ thoughts, feelings, attitudes, and questions towards cancer treatments being administered at home versus a hospital setting. In addition, we are conducting an observational study of 20 patients with advanced prostate cancer receiving supportive care/symptom management and/or anti cancer therapy in the home as part of the Mayo Clinic CCBW Program to assess the safety of cancer directed therapy when administered at home by a home health provider with remote patient monitoring and command center support, and establish the impact of home cancer treatment administration on patient-reported function and global health/quality of life, patient-reported symptoms, clinical outcomes, and cost of care. Successful completion of the project will deliver data on patient understanding and acceptability of cancer care at home, strategies for overcoming barriers to care for underserved communities, and the foundation from which we discover, translate and apply new knowledge in administering personalized care to vulnerable populations.
Abstract 999: Spectrum of germline BRCA1/2 gene mutations in Nigerian breast cancer patients
(Cancer Res (2025) 85 (8_Supplement_1), 2025) Onyia, Abimbola F; Jibrin, Paul; Olatunji-Agunbiade, Temitope; Oyekan, Ademola; Lawal, AbdulRazzaq; Alabi, Adewumi; Sowunm, Anthonia C.; Aje, Eben A.; Ogunniyi, Oluwabusayo B.; Nkom, Ebenezer S.; De Campos, Opeyemi C; Rotimi, Oluwakemi A.; Oyelade, Jelili O.; Rotimi, Solomon O.
Breast cancer (BC) is the leading cause of cancer-related deaths in Nigerian women, with triple-negative breast cancer (TNBC) being the most prevalent. The TNBC subtype is characterized by mutations in BRCA1 and BRCA2 genes, and germline pathogenic carriers of these mutations have an increased risk for BC. Despite these challenges, the prevalence and spectrum of BRCA1/2 pathogenic variants in the Nigerian population differ, and there is a margin in the local capacity to characterize these variations. Therefore, this study aimed to identify and characterize germline variations in BRCA 1/2 genes in Nigerian BC patients and healthy aged-matched controls to understand the genetic risk profiles of BC in this population. Forty-five BC patients were recruited across four major hospitals in Nigeria and aged-matched with 51 healthy female controls. DNA was extracted from blood samples, followed by targeted sequencing of BRCA 1/2 intronic and exonic regions using the Ampliseq for BRCA panel and the Illumina Miseq Platform. Variant calling was performed, and the clinical significance of identified variants was evaluated on the ClinVar and BRCA exchange databases. Variants of unknown significance (VUS) were assessed using known in silico prediction software, and haplotype analysis was carried out using the Haploview 4.2 software. Pathogenic variants were identified in 6.7% of cases, all exclusive to BC patients. These variants included two BRCA1 variants (3: c.133_134delAA (p.Lys45fs) and c.5324T>A (21: p.Met1775Lys), and one BRCA 2 variant (22: c.8817_8820del (p.Lys2939fs) all found in patients with the TNBC subtype. Additionally, 97 benign or likely benign BRCA1/2 variants were found in both BC and control groups, with notable variants such as the rs799917 identified as a surrogate indicator of ancestry. Eighteen VUS were identified, with four predicted to be damaging by three in silico prediction software. The results of haplotype analysis identified distinct BC haplotypes in Nigerian BC patients. The identification of BRCA1/2 pathogenic variants in Nigerian BC patients, especially those with TNBC, suggests a potential for targeted therapies, such as PARP inhibitors, to improve treatment outcomes in this population. This further highlights the need for increased population-specific screening and the integration of genetic screening into BC management strategies, which could facilitate early detection, personalized treatment plans, and genetic counseling for Nigerian BC patients.
Abstract 999: Spectrum of germline BRCA1/2 gene mutations in Nigerian breast cancer patients
(Cancer Res (2025) 85 (8_Supplement_1):, 2025-04-21) Onyia, Abimbola F.; Jibrin, Paul; Olatunji-Agunbiade, Temitope; Oyekan, Ademola; Lawal, AbdulRazzaq; Alabi, Adewumi; Sowunmi, Anthonia C.; Aje, Eben A.; Ogunniyi, Oluwabusayo B.; Nkom, Ebenezer S.; De Campos, Opeyemi C.; Rotimi, Oluwakemi A.; Oyelade, Jelili O.; Rotimi, Solomon O.
Breast cancer (BC) is the leading cause of cancer-related deaths in Nigerian women, with triple-negative breast cancer (TNBC) being the most prevalent. The TNBC subtype is characterized by mutations in BRCA1 and BRCA2 genes, and germline pathogenic carriers of these mutations have an increased risk for BC. Despite these challenges, the prevalence and spectrum of BRCA1/2 pathogenic variants in the Nigerian population differ, and there is a margin in the local capacity to characterize these variations. Therefore, this study aimed to identify and characterize germline variations in BRCA 1/2 genes in Nigerian BC patients and healthy aged-matched controls to understand the genetic risk profiles of BC in this population. Forty-five BC patients were recruited across four major hospitals in Nigeria and aged-matched with 51 healthy female controls. DNA was extracted from blood samples, followed by targeted sequencing of BRCA 1/2 intronic and exonic regions using the Ampliseq for BRCA panel and the Illumina Miseq Platform. Variant calling was performed, and the clinical significance of identified variants was evaluated on the ClinVar and BRCA exchange databases. Variants of unknown significance (VUS) were assessed using known in silico prediction software, and haplotype analysis was carried out using the Haploview 4.2 software. Pathogenic variants were identified in 6.7% of cases, all exclusive to BC patients. These variants included two BRCA1 variants (3: c.133_134delAA (p.Lys45fs) and c.5324T>A (21: p.Met1775Lys), and one BRCA 2 variant (22: c.8817_8820del (p.Lys2939fs) all found in patients with the TNBC subtype. Additionally, 97 benign or likely benign BRCA1/2 variants were found in both BC and control groups, with notable variants such as the rs799917 identified as a surrogate indicator of ancestry. Eighteen VUS were identified, with four predicted to be damaging by three in silico prediction software. The results of haplotype analysis identified distinct BC haplotypes in Nigerian BC patients. The identification of BRCA1/2 pathogenic variants in Nigerian BC patients, especially those with TNBC, suggests a potential for targeted therapies, such as PARP inhibitors, to improve treatment outcomes in this population. This further highlights the need for increased population-specific screening and the integration of genetic screening into BC management strategies, which could facilitate early detection, personalized treatment plans, and genetic counseling for Nigerian BC patients.
Acute oral toxicity and antimalarial studies of 7-[(7-methoxy- 4,5-dihydro-1H-benzo[g]indazol-3-yl)carbonyl]-2-phenyl- 5,6,7,8-tetrahydropyrazolo[1,5-a]pyrido[4,3-d]pyrimidin-9 (1H)-one in mouse models
(Scientific African, 2024) Oladejo, David O; Dokunmu, Titilope M; Tebamifor, Mercy E; Omunagbe, Mercy B; Okafor, Esther O; Iweala, Emeka Joshua
ADAPTING MOBILESAM FOR FEW-SHOT SEGMENTATION OF PROSTATE CANCER IN HISTOPATHOLOGY IMAGES
(Covenant University Ota, 2025-08) ANTHONY, Micheal IdediA; Covenant University Dissertation
Segmenting prostate cancer in tissue images is difficult because of irregular gland shapes, broken tissue structures, and very few labelled images available for training. This study introduces FrozenSE-SAM, a segmentation method that works well even with small datasets. It combines a frozen MobileSAM encoder with a lightweight decoder enhanced by Squeeze-and-Excitation (SE) blocks and is trained using Focal Tversky Loss, which helps focus on difficult regions. Unlike older methods that need extra shape information or lots of labels, FrozenSE-SAM can directly segment tumour regions without prompts. It was trained on only 35 tissue microarray (TMA) cores from the Gleason 2019 dataset and tested on 100 new samples. The model achieved a Dice score of 68.45%, which is better than U-Net (60.72%), Swin-UNETR (58.12%), and a Signed Distance Function (SDF) based model (62.77%). For measuring boundary accuracy, FrozenSE-SAM showed better performance with HD95 = 0.0228 mm and ASD = 0.0056 mm, compared to the SDF model (HD95 = 0.0328 mm, ASD = 0.0072 mm), and worse scores from U-Net and Swin-UNETR. Visual/Qualitative result also confirmed that FrozenSE-SAM was better at outlining complex tumour regions. It could accurately segment cribriform and fused glands without including nearby healthy tissue. In contrast, the SDF model produced blurry edges and missed finer structures, leading to under-segmentation. These results show that FrozenSE-SAM is a strong, reliable method for prostate cancer segmentation, especially in real-world situations with limited data.
Adoption of Inclusive Architecture Design Strategies in Selected Community Centres, Lagos Mainland, Nigeria
(Civil Engineering and Architecture 12(6), 2024) Adewale, B. A.; Odewumi, Anuoluwa Nissi
Community centres play a variety of important responsibilities in communities. They function as cohesive environments, fostering the convergence of individuals from diverse backgrounds to engage in collaborative endeavours and promote inclusion, which is essential for sustainable urban development. This study examined the adoption of inclusive architecture strategies in three selected community centres in Lagos Mainland, Nigeria – Araromi Youth Development Centre, Magodo Residents Association Community Centre, and Ikeja Youth Centre, in order to improve inclusion in public spaces and foster sustainable urban development. Employing a qualitative approach, the research aimed to evaluate the adoption level of inclusive architecture strategies in the study area. Utilising an observation guide as a research instrument supported by a thorough literature review, the study conducted in-depth case studies within the study area, revealing commendable levels of adoption. However, a deeper examination reveals opportunities for greater adoption of inclusive architecture strategies in order to achieve a more holistic and inclusive design aligned with global standards. This study also offers significant implications in the field of architecture as it provides a comprehensive framework that future research can use to assess and compare the inclusiveness of different public spaces. This research underscores the pressing need for enhanced inclusivity in urban spaces and public areas, contributing valuable insights to academic discussions and offering practical implications for educators, architects, urban planners, and policymakers, thus fostering inclusivity and sustainable urban development.