Citations

PURPOSE Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. The higher incidence and earlier onset of HCC in sub-Saharan Africa suggest a potential role for a genetic predisposition. This study evaluated the association of TERT -rs2242652-(A), a variant linked to lower HCC risk, with HCC in populations from Ghana, Nigeria, and Cameroon, compared with a population from the United States. METHODS The study included 537 patients with HCC: United States (n = 348), Ghana (n = 79), Nigeria (n = 43), and Cameroon (n = 67). The control group had 2,872 cancer-free individuals: United States (n = 2,399), Ghana (n = 323), Nigeria (n = 85), and Cameroon (n = 65). Whole-exome sequencing was conducted using germline DNA, and data for TERT -rs2242652 were analyzed. Odds ratios (ORs) and 95% CIs were calculated using unconditional logistic regression. Chi-square tests assessed protective allele frequencies. RESULTS In the US cohort, TERT -rs2242652 was significantly associated with lower HCC risk (OR, 0.75 [95% CI, 0.58 to 0.96]; P = .02), with an allele frequency of 18.8% (15.4% in HCC cases v 19.3% in controls). In the combined sub-Saharan African population, no significant association was observed, but there was a trend toward decreased HCC risk (OR, 0.80 [95% CI, 0.53 to 1.22]; P = .29), with an allele frequency of 12.2% (10.6% in HCC cases v 12.9% in controls). Separate analyses of Ghanaian, Nigerian, and Cameroonian populations showed similar nonsignificant trends. The protective allele frequency in the combined African populations was significantly lower than in the US cohort ( P < .0001). CONCLUSION In sub-Saharan African populations, there was a lower frequency of the HCC protective allele TERT -rs2242652 compared with European Americans. These findings underscore the importance of multiethnic genetic studies in understanding population differences in HCC risk and developing prevention strategies.

Abstract Artificial intelligence (AI) encompasses the development of systems that can perform human‐like tasks, such as treatment guidance, decision‐making, pattern recognition and understanding language. Within AI, machine learning and deep learning play pivotal roles in diagnosis and outcome prediction, while natural language processing aids in synthesising large datasets from the electronic medical record. In orthopaedics, AI has demonstrated success in various areas, including image evaluation, surgical planning, outcome prediction, cohort identification and administrative tasks. The purpose of this manuscript was to provide an overview of the benefits of AI implementation within the field of orthopaedics. An additional goal was to address the challenges associated with producing high quality AI‐based research in a rapidly developing field. Level of Evidence Level IV.

Abstract Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally, with particularly high burdens among people living with HIV (PLWH) in low‐resource settings like Nigeria. Effective early detection remains a major challenge due to limited access to imaging‐based surveillance and the low sensitivity of current biomarkers such as alpha‐fetoprotein (AFP). We conducted an epigenome‐wide association study (EWAS) of circulating cell‐free DNA (ccfDNA) methylation in a Nigerian cohort of HIV‐positive individuals ( n = 245), spanning HCC, cirrhosis (FibroScan ≥12.3 kPa), fibrosis (FibroScan ≥7.6 and <12.3 kPa), and HCC‐free without fibrosis (FibroScan <7.6 kPa) groups. Using random forest modeling, we developed and evaluated a ccfDNA methylation classifier (ccfDNAmRF) for HCC risk prediction. We identified 73 CpG sites significantly associated with HCC (false discovery rate <0.01). The ccfDNAmRF model demonstrated strong discriminatory power, achieving 100% sensitivity and 80%–91% specificity for distinguishing HCC from cirrhosis, fibrosis, and HCC‐free groups (area under the curve [AUC]: 92%–97%). Combining ccfDNA methylation risk scores with AFP further improved classification accuracy (AUC up to 98.5%). Notably, ccfDNA methylation patterns displayed clear dose–response relationships across the disease spectrum, supporting their utility for early‐stage detection and risk stratification. Our findings highlight the promise of ccfDNA methylation biomarkers as a non‐invasive, blood‐based screening tool for improving early identification of HCC cases among PLWH.

Noninvasive brain stimulation techniques have emerged as a promising therapeutic option for various central nervous system demyelinating diseases. Demyelinating diseases represent a group of pathological conditions that impact the central or peripheral nervous system. They are characterized by damage to or loss of the myelin sheath surrounding nerve fibers. This damage to myelin sheaths disrupts nerve signal transmission, leading to a wide range of signs and symptoms associated with neurological impairment. Treatment for demyelinating diseases usually aligns with the specific underlying cause. Noninvasive brain stimulation techniques can affect neuronal electrical activity and glial cell function, suggesting a potential option for intervention. In this narrative review, we explore the potential of noninvasive brain stimulation techniques for the treatment of central nervous system demyelinating disorders. Noninvasive brain stimulation techniques, including transcranial magnetic stimulation, transcranial electrical stimulation, transcranial focused ultrasound stimulation, optogenetic stimulation, low-intensity pulsed ultrasound, and transcranial photobiomodulation, have been shown to potentially intervene in the treatment of demyelinating diseases by affecting the electrical activity of nerve cells and glial cell function. In addition, this review summarizes the applications and mechanisms of noninvasive brain stimulation techniques in the treatment of central nervous system demyelinating diseases and how these techniques promote myelin regeneration and improve disease prognosis. This review also summarizes research advances in noninvasive brain stimulation techniques for the treatment of multiple sclerosis, acute disseminated encephalomyelitis, progressive multifocal leukoencephalopathy, and neuromyelitis optical spectrum disorder. Noninvasive brain stimulation techniques can improve disease symptoms by promoting oligodendrocyte proliferation and differentiation, enhancing myelin regeneration, and modulating immune responses. Although noninvasive brain stimulation techniques have shown potential in the treatment of various neurological disorders, their use in treating demyelinating diseases remains challenging. For example, transcranial focused ultrasound stimulation is a relatively new noninvasive brain stimulation technique with the advantages of high spatial resolution and the ability to stimulate deep brain structures, but its safety and efficacy in clinical applications need to be further investigated. Optogenetic stimulation offers highly precise neuromodulation, but its feasibility in clinical practice is limited by technical and ethical constraints. Overall, noninvasive brain stimulation techniques have significant potential in the treatment of central nervous system demyelinating diseases, but further research is needed to optimize stimulation parameters, improve therapeutic efficacy, and gain insight into their mechanism of action. With the continuous development of technology and in-depth clinical trials, noninvasive brain stimulation techniques are expected to become an effective treatment for central nervous system demyelinating diseases and provide new therapeutic options for such patients.

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross‐sectional and prospective association analyses of blood‐derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole‐genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1‐SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04–1.12; P <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; P =0.11) or in the reverse direction (β=−0.012; P =0.076). Additional bidirectional Mendelian randomization analyses revealed that low‐density lipoprotein cholesterol had a causal effect on mtDNA CN (β=−0.084; P <0.001), but the reverse direction was not significant ( P =0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low‐density lipoprotein cholesterol level ( P =0.52), whereas there was a strong direct causal effect of higher low‐density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=−0.092; P <0.001). Conclusions Our findings indicate that high low‐density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.

Abstract Background: Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. In countries with high human immunodeficiency virus (HIV) prevalence, such as Nigeria, HIV-associated HCC causes a great health burden due to its early onset, late diagnosis, and poorer prognosis. HIV infection is involved in inflammation of the liver, which may determine an increased risk of hepatocyte neoplastic transformation. Inflammation-related DNA methylation signatures obtained in liquid biopsy, such as circulating cell-free DNA (ccfDNA) extracted from serum/plasma are promising minimally-invasive biomarkers that may inform HCC among people living with HIV. Methods: A total of 289 Nigerian participants with information on ccfDNA and other covariates were included. Participants were classified into three groups by their HCC/HIV status: 1) HCC+/HIV+ (n=28); 2) HCC-/HIV+ (n=185); and 3) HCC+/HIV- (n=76). We constructed ccfDNA methylation inflammation scores using 49 CpGs previously linked to circulating C-reactive protein (CRP) concentrations, and higher scores represented elevated CRP concentrations with lower methylation levels. To compare the ccfDNA methylation inflammation score across the groups, we performed multivariable logistic regression analyses adjusting for age, sex, alcohol consumption, smoking status, body mass index, study sites, and technical variables. Results: Participants with HCC+/HIV+ presented the highest ccfDNA methylation inflammation scores (mean=-0.03, standard deviation [SD] =0.01). Participants with HCC-/HIV+ presented the lowest scores (mean=-0.05, SD=0.01). In the multivariable logistic regressions, one SD increase of inflammation score was associated with 2.5 times higher odds of having HCC among HIV-infected participants (HCC+/HIV+ vs. HCC+/HIV-; OR=2.56, 95% CI=1.39-4.73, P=0.002). No evidence was found for the association between the inflammation score and HIV status among HCC patients (HCC+/HIV+ vs. HCC+/HIV-; OR=1.00, 95% CI=0.59-1.70, P=0.991). In the secondary analysis comparing HCC+ vs. HCC- adjusting for HIV status, one SD increase of inflammation score was associated with 3.2 times higher odds of having HCC (OR=3.22, 95% CI=1.39-7.46, P=0.006). Conclusions: We observed that ccfDNA methylation inflammation score is associated with HCC status among people with HIV. Our findings suggest that ccfDNA methylation-based inflammatory profiles may serve as a potential biomarker for early detection and risk stratification of HCC in resource-constrained countries with a high prevalence of HIV. Citation Format: Kyeezu Kim, Yinan Zheng, Claudia Hawkins, Edith Okeke, Olufunmilayo Lesi, Yishu Qu, Lewis R. Roberts, Demirkan Gursel, Fatimah B. Abdulkareem, Alani Akanmu, Godwin Imade, Jian-Jun Wei, Masha Kocherginsky, Kwang-Youn Kim, Wasiu L. Adeyemo, Firas Wehbe, Chad J. Achenbach, Atiene Sagay, Folasade T. Ogunsola, Robert L. Murphy, Lifang Hou. DNA methylation-based inflammation score is associated with hepatocellular carcinoma among people living with HIV. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6013.

Abstract Dissemination of ovarian cancer cells can lead to inoperable metastatic lesions in the bowel and omentum that cause patient death. Here we show that LRRC15, a type-I 15-leucine–rich repeat-containing membrane protein, highly overexpressed in ovarian cancer bowel metastases compared with matched primary tumors and acts as a potent promoter of omental metastasis. Complementary models of ovarian cancer demonstrated that LRRC15 expression leads to inhibition of anoikis-induced cell death and promotes adhesion and invasion through matrices that mimic omentum. Mechanistically, LRRC15 interacted with β1-integrin to stimulate activation of focal adhesion kinase (FAK) signaling. As a therapeutic proof of concept, targeting LRRC15 with the specific antibody–drug conjugate ABBV-085 in both early and late metastatic ovarian cancer cell line xenograft models prevented metastatic dissemination, and these results were corroborated in metastatic patient-derived ovarian cancer xenograft models. Furthermore, treatment of 3D-spheroid cultures of LRRC15-positive patient-derived ascites with ABBV-085 reduced cell viability. Overall, these data uncover a role for LRRC15 in promoting ovarian cancer metastasis and suggest a novel and promising therapy to target ovarian cancer metastases. Significance: This study identifies that LRRC15 activates β1-integrin/FAK signaling to promote ovarian cancer metastasis and shows that the LRRC15-targeted antibody–drug conjugate ABBV-085 suppresses ovarian cancer metastasis in preclinical models.

A considerable subset of gynecologic cancer patients experience disease recurrence or acquired resistance, which contributes to high mortality rates in ovarian cancer (OC). Our prior studies showed that quinacrine (QC), an antimalarial drug, enhanced chemotherapy sensitivity in treatment-refractory OC cells, including artificially generated chemoresistant and high-grade serous OC cells. In this study, we investigated QC-induced transcriptomic changes to uncover its cytotoxic mechanisms of action. Isogenic pairs of OC cells generated to be chemoresistant and their chemosensitive counterparts were treated with QC followed by RNA-seq analysis. Validation of selected expression results and database comparison analyses indicated the ribosomal biogenesis (RBG) pathway is inhibited by QC. RBG is commonly upregulated in cancer cells and is emerging as a drug target. We found that QC attenuates the in vitro and in vivo expression of nucleostemin (NS/GNL3), a nucleolar RBG and DNA repair protein, and the RPA194 catalytic subunit of Pol I that results in RBG inhibition and nucleolar stress. QC promotes the redistribution of fibrillarin in the form of extranuclear foci and nucleolar caps, an indicator of nucleolar stress conditions. In addition, we found that QC-induced downregulation of NS disrupted homologous recombination repair both by reducing NS protein levels and PARylation resulting in reduced RAD51 recruitment to DNA damage. Our data suggest that QC inhibits RBG and this inhibition promotes DNA damage by directly downregulating the NS–RAD51 interaction. Additionally, QC showed strong synergy with PARP inhibitors in OC cells. Overall, we found that QC downregulates the RBG pathway, induces nucleolar stress, supports the increase of DNA damage, and sensitizes cells to PARP inhibition, which supports new therapeutic stratagems for treatment-refractory OC. Our work offers support for targeting RBG in OC and determines NS to be a novel target for QC.