Ocular Tumors Research Articles

Comprehensive Analysis of Orbital and Ocular Tumors: Incidence, Imaging Characteristics, and Histopathological Correlation

Comprehensive Analysis of Orbital and Ocular Tumors: Incidence, Imaging Characteristics, and Histopathological Correlation

BET Bromodomain Inhibition Potentiates Ocular Melanoma Therapy by Inducing Cell Cycle Arrest.

Ocular melanoma is a common primary malignant ocular tumor in adults with limited effective treatments. Epigenetic regulation plays an important role in tumor development. The switching/sucrose nonfermentation (SWI/SNF) chromatin remodeling complex and bromodomain and extraterminal domain family proteins are epigenetic regulators involved in several cancers. We aimed to screen a candidate small molecule inhibitor targeting these regulators and investigate its effect and mechanism in ocular melanoma. We observed phenotypes caused by knockdown of the corresponding gene and synergistic effects with BRD inhibitor treatment and SWI/SNF complex knockdown. The effect of JQ-1 on ocular melanoma cell cycle and apoptosis was analyzed with flow cytometry. Via RNA sequencing, we also explored the mechanism of BRD4. The best tumor inhibitory effect was observed for the BRD4 inhibitor (JQ-1), although there were no statistically obvious changes in the shBRD4 and shBRD9 groups. Interestingly, the inhibitory effect of JQ-1 was decrease in the shBRD4 group. JQ-1 inhibits the growth of melanoma in various cell lines and in tumor-bearing mice. We found 17 of these 28 common differentially expressed genes were downregulated after MEL270 and MEL290 cells treated with JQ-1. Four of these 17 genes, TP53I11, SH2D5, SEMA5A, and MDGA1, were positively correlated with BRD4. In TCGA database, low expression of TP53I11, SH2D5, SEMA5A, and MDGA1 improved the overall survival rate of patients. Furthermore, the disease-free survival rate was increased in the groups with low expression of TP53I11, SH2D5, and SEMA5A. JQ-1 may act downstream of BRD4 and suppress ocular melanoma growth by inducing G1 cell cycle arrest.

Robot-assisted system for non-invasive wide-range flexible eye positioning and tracking in particle radiotherapy.

Particle (proton, carbon ion, or others) radiotherapy for ocular tumors is highly dependent on precise dose distribution, and any misalignment can result in severe complications. The proposed eye positioning and tracking system (EPTS) was designed to non-invasively position eyeballs and is reproducible enough to ensure accurate dose distribution by guiding gaze direction and tracking eye motion. Eye positioning was performed by guiding the gaze direction with separately controlled light sources. Eye tracking was performed by a robotic arm with cameras and a mirror. The cameras attached to its end received images through mirror reflection. To maintain a light weight, certain materials, such as carbon fiber, were utilized where possible. The robotic arm was controlled by a robot operating system. The robotic arm, turntables, and light source were actively and remotely controlled in real time. The videos captured by the cameras could be annotated, saved, and loaded into software. The available range of gaze guidance is 360° (azimuth). Weighing a total of 18.55kg, the EPTS could be installed or uninstalled in 10s. The structure, motion, and electromagnetic compatibility were verified via experiments. The EPTS shows some potential due to its non-invasive wide-range flexible eye positioning and tracking, light weight, non-collision with other equipment, and compatibility with CT imaging and dose delivery. The EPTS can also be remotely controlled in real time and offers sufficient reproducibility. This system is expected to have a positive impact on ocular particle radiotherapy.

Primary and tertiary management of ocular surface lesions in HIV-infected patients in Ehlanzeni, Mpumalanga Province.

In sub-Saharan Africa, ocular surface squamous neoplasia (OSSN) is the most common ocular surface tumour and is strongly associated with HIV infection. This range of ocular malignancies can be managed early to prevent large tumours requiring invasive treatment, facial disfigurement and mortality. Primary healthcare workers (HCWs) play a critical role in the early identification of the lesion. In addition, the ocular lesion can also be the presenting sign of HIV infection in individuals who have not yet been diagnosed. The aim of the present study was to assess the management of suspicious conjunctival growths in HIV-infected patients in primary health facilities and a specialist eye clinic in South Africa. To assess the knowledge, attitude and current practice of HCWs working in HIV clinics regarding ocular surface lesions and to evaluate the management of patients with ocular surface lesions at a tertiary hospital. A cross-sectional study design was used (November 2020 - May 2021), for which 149 HCWs were invited to assessments about their knowledge, attitudes and practices regarding ocular surface lesions. In addition, files of patients with ocular surface lesions who presented between January 2018 and August 2020 to the eye clinic were reviewed using a data extraction sheet. One hundred-and-three HCWs agreed to participate in the survey (response rate 69.1%). Of these participants, 84.5% were experienced professional nurses (6 - 15 years of work experience) but had minimal experience with detection and management of eye complaints and lesions. Twenty-seven (26.2%) of the participants recognised some ocular surface lesions and 86 (83.5%) reported that they would refer patients with suspicious lesions. Sixty-two files were reviewed and 51 (82.2%) of the patients had an HIV-positive diagnosis. Fifty percent had carcinoma-in situ and squamous cell carcinoma of the conjunctiva. Thirty-one (50%) of the patients were lost to follow-up. OSSN is an important manifestation of HIV infection. It would be beneficial for patients to receive a basic ocular examination as part of the baseline clinical evaluation; this may contribute to early referral to an eye care facility. The health system would benefit from establishing an eye health support system with the nearby health facilities, thereby educating primary HCWs about the association between HIV and OSSN.

Role of inflammation in a rat model of radiation retinopathy

Radiation retinopathy (RR) is a major side effect of ocular tumor treatment by plaque brachytherapy or proton beam therapy. RR manifests as delayed and progressive microvasculopathy, ischemia and macular edema, ultimately leading to vision loss, neovascular glaucoma, and, in extreme cases, secondary enucleation. Intravitreal anti-VEGF agents, steroids and laser photocoagulation have limited effects on RR. The role of retinal inflammation and its contribution to the microvascular damage occurring in RR remain incompletely understood. To explore cellular and vascular events after irradiation, we analyzed their time course at 1 week, 1 month and 6 months after rat eyes received 45 Gy X-beam photons. Müller glial cells, astrocytes and microglia were rapidly activated, and these markers of retinal inflammation persisted for 6 months after irradiation. This was accompanied by early cell death in the outer retina, which persisted at later time points, leading to retinal thinning. A delayed loss of small retinal capillaries and retinal hypoxia were observed after 6 months, indicating inner blood‒retinal barrier (BRB) alteration but without cell death in the inner retina. Moreover, activated microglial cells invaded the entire retina and surrounded retinal vessels, suggesting the role of inflammation in vascular alteration and in retinal cell death. Radiation also triggered early and persistent invasion of the retinal pigment epithelium by microglia and macrophages, contributing to outer BRB disruption. This study highlights the role of progressive and long-lasting inflammatory mechanisms in RR development and demonstrates the relevance of this rat model to investigate human pathology.

Upper and Lower Eyelid Malignancies: Differences in Clinical Presentation, Metastasis, and Treatment.

Approximately 5-15% of all dermatologic malignancies manifest in the upper and lower eyelids. The primary types include basal cell carcinoma, squamous cell carcinoma, and sebaceous cell carcinoma, with Merkel cell carcinoma and melanoma following closely behind. Basal cell carcinoma predominantly affects the lower eyelid, yet various other carcinomas, melanomas, metastases, and neoplasms of diverse origins can arise on both upper and lower eyelids. Risk factors such as advanced age, smoking, and notably, exposure to UV light significantly contribute to the development of these eyelid lesions. Despite the increasing incidence, research on dermatologic eyelid malignancies remains limited. However, such study is imperative given that many systemic oncologic malignancies initially present as metastatic eyelid lesions. This paper provides an in-depth exploration of eyelid anatomy, clinical presentation, diagnosis, and treatment management.Key Points: Eyelid metastases represent less than one percent of all eyelid cancers, yet they often serve as the initial indication of an underlying systemic malignancy. Early detection and treatment is crucial in improving prognosis and quality of life for patients. Treatment options encompass a range of modalities, with Mohs surgery as the gold standard for the removal of ocular tumors. Additional treatment options include local excision as well as non-surgical interventions such as radiotherapy, cryotherapy, immunotherapy, and topical medications.

Role of artificial intelligence in ocular tumors: A systematic review.

e15070 Background: Integrating oncology and artificial intelligence (AI) shows significant potential in improving treatments and early detection of ocular tumors. This systematic review aims to strengthen existing evidence regarding the application of AI in diagnosing and treating ocular tumors. Methods: We systematically searched PubMed, Embase, Web of Science, Scopus, and Google Scholar until January 15, 2024. Inclusion criteria comprised original peer-reviewed human studies (retrospective or prospective) investigating AI approaches in patients with ocular tumors such as retinoblastoma, uveal melanoma, conjunctival melanoma, and choroidal melanoma. The quality of the literature was assessed using JBI checklists. The eligibility criteria involved assessing studies that explored the application of AI in ocular tumor detection, classification, and treatment planning. We employed a rigorous screening process, and subsequent data extraction focused on key characteristics, including tumor types, sample sizes, AI input data specifications, and study aims. Exclusion criteria encompassed studies not meeting the inclusion criteria, lacking relevant outcome measures, exhibiting insufficient methodological quality, or inadequate reporting. Results: The initial database search yielded 903 records, of which 37 studies (retrospective = 24 and prospective = 13) were included. Most studies selected the retinoblastoma (n = 12) and uveal melanoma (n = 14). Other studies utilized other types of ocular tumors, including ocular metastasis (n = 2), ocular surface squamous neoplasia (n = 2), and ocular lymphoma (n = 2). The conjunctival melanoma, choroidal melanoma, intraocular melanoma, cavernous hemangioma, and schwannoma patients were utilized once. The AI-based models were employed for the classification (n = 22), prognosis prediction (n = 6), lesion segmentation (n = 5), and predicting the gene expression (n = 4) tasks. The data types used Included magnetic resonance imaging (MRI), computed tomography (CT), whole-slide imaging (WSI), clinical data, and fundus images. A meta-analysis was precluded because of the significant heterogeneity observed across the included studies in terms of demographics, study design, interventions, and outcome measures. Conclusions: Although imaging and patient presentation have played a crucial role in ocular tumor diagnostics, AI presents promising results in prediction, prognosis, and disease management. Meanwhile, AI's primary role has been in classification, demonstrating significant success. Additionally, continued exploration of less-discussed eye tumors is essential for enhancing AI's predictive and therapeutic capabilities. The absence of reported evaluation criteria and low evaluation parameter rates in certain studies underscores the importance of standardized reporting practices for robust assessments in future ocular oncology research.

Belzutifan in Individuals with von Hippel-Lindau Retinal Hemangioblastomas: Institutional Experience and Review of the Literature

Introduction: The systemic HIF-2 alpha inhibitor, belzutifan, has been approved for use in patients with von Hippel-Lindau disease (VHL)-associated renal cell carcinoma, central nervous system (CNS) hemangioblastomas, and pancreatic neuroendocrine tumors. This drug has also shown promise in controlling VHL retinal hemangioblastomas (RHs), but little work has been published on the use of the drug in this setting. Methods: We conducted a retrospective review of patients with VHL-associated RHs followed by the retina service at our institution who were treated with systemic belzutifan. Patient age, gender, genotype, presence of systemic tumors, indication for the drug, initial dose, adjusted dose, side effects, and tumor response were recorded. We also conducted a literature search for all manuscripts describing the effect of belzutifan on VHL-associated ocular tumors. Results: We identified 12 eyes of 7 patients with VHL-associated ocular tumors who were treated with belzutifan at our institution. Of these, 5 eyes of 3 patients had progressing ocular tumors when belzutifan was started. Of the 7 total patients, 2 were treated for renal cell carcinoma, 2 for CNS hemangioblastomas, 2 for RHs, and one for pancreatic neuroendocrine tumors. Initial dose was 120 mg PO daily in 6 patients and 80 mg PO daily in 1 patient. The dose was reduced in all but 1 patient due to side effects. The ocular tumors were controlled in all patients with an average follow-up of 13 months (range 4–24 months). Literature review identified 7 manuscripts that described belzutifan-mediated control of ocular tumors in patients with VHL-associated RHs in 21 patients. Conclusion: The drug belzutifan shows great promise for controlling RHs and preventing vision loss in patients with VHL. Further work needs to address the optimal dose, role of the drug as a neoadjuvant therapy, and long-term efficacy and tolerability of the drug in a larger cohort of patients with ocular tumors.

Decoding the molecular landscape: A novel prognostic signature for uveal melanoma unveiled through programmed cell death-associated genes.

Uveal melanoma (UM) is a rare but aggressive malignant ocular tumor with a high metastatic potential and limited therapeutic options, currently lacking accurate prognostic predictors and effective individualized treatment strategies. Public databases were utilized to analyze the prognostic relevance of programmed cell death-related genes (PCDRGs) in UM transcriptomes and survival data. Consensus clustering and Lasso Cox regression analysis were performed for molecular subtyping and risk feature construction. The PCDRG-derived index (PCDI) was evaluated for its association with clinicopathological features, gene expression, drug sensitivity, and immune infiltration. A total of 369 prognostic PCDRGs were identified, which could cluster UM into 2 molecular subtypes with significant differences in prognosis and clinicopathological characteristics. Furthermore, a risk feature PCDI composed of 11 PCDRGs was constructed, capable of indicating prognosis in UM patients. Additionally, PCDI exhibited correlations with the sensitivity to 25 drugs and the infiltration of various immune cells. Enrichment analysis revealed that PCDI was associated with immune regulation-related biological processes and pathways. Finally, a nomogram for prognostic assessment of UM patients was developed based on PCDI and gender, demonstrating excellent performance. This study elucidated the potential value of PCDRGs in prognostic assessment for UM and developed a corresponding risk feature. However, further basic and clinical studies are warranted to validate the functions and mechanisms of PCDRGs in UM.

Epidemioclinical and Histological Profile of Malignant Ocular Tumors at University Hospital Center of Bouake

Objective: To describe the epidemiological, clinical and histopathological aspects of malignant tumors in the Gbêkê region. Materials and methods: Retrospective cross-sectional descriptive study conducted in the ophthalmology department of the Bouake University Hospital over a 5-year period [January 1, 2018, to December 31, 2022]. It involved patients seen in consultation for malignant ocular tumors confirmed after clinical and paraclinical examination. Results: Prevalence was 0.19%. The mean age was 31.52 years, with extremes of 4 months and 72 years. Reasons for consultation were dominated by exophthalmos (41.67%). Most patients (77.08%) had a consultation delay of over 12 months. The conjunctiva was the preferred site of ocular malignancies (41.67%). Squamous cell carcinoma was the most common tumour of all ages, accounting for 41.66%. Squamous cell carcinoma was the most common malignancy in adults, with 55.56%. In children, retinoblastoma remains the most common tumor (58.33%).

Description and Characteristics of Ocular Tumor Lysis Syndrome

Introduction: The aim of the study was to describe and evaluate characteristics of ocular tumor lysis syndrome (OTLS) in eyes with uveal melanoma. Methods: Retrospective chart review of all patients with OTLS at the University of Colorado from 2009 to 2021. Data collected included patient demographics, tumor characteristics, radiation dosimetry, gene expression profiling (GEP), OTLS characteristics, management, and outcomes. Results: Seven eyes of seven patients with uveal melanoma treated with I-125 brachytherapy developed OTLS. Average age was 59 years (range 32–83). Mean apical height was 8.6 mm (range 6–11); mean diameter was 12.7 mm (range 8.5–15.3). All tumors were treated with plaques ≥16 mm in diameter. On presentation, 5/7 tumors had subretinal fluid, and 6/7 had collar-button configuration. OTLS presented as extensive pigment dispersion in the vitreous in all eyes, subretinal pigment and/or retinal detachment in 4/7 eyes, vitreous hemorrhage in 2/7 eyes, and anterior chamber pigment in 3/7 eyes. Four tumors were GEP class 1, two were class 2, and one was unclassified. Biopsy route was trans-scleral in 4/7 eyes and trans-vitreal in 3/7 eyes. OTLS occurred 2–4 weeks after an intraocular procedure in 5/7 eyes. All underwent pars plana vitrectomy. Cytology of the vitreous, obtained in five cases, showed pigment laden macrophages and hemorrhage, but only 1/5 eyes had viable malignant cells. Four eyes were stable at the last follow-up, two were enucleated, and one had no light perception from pigmentary glaucoma. Poor vision (<20/200) occurred in 6/7 cases. Three patients died from metastasis (tumors were GEP class 2, GEP class without subclassification, and no GEP classification performed). Conclusions: OTLS is a rare but devastating complication of uveal melanoma. Common characteristics included large plaque diameter, presence of subretinal fluid, and collar-button shape. The extensively dispersed pigment is typically not malignant. Though poor vision is common, enucleation may be avoided in most eyes through vitreoretinal surgical repair.

Chinese expert consensus on the diagnosis and management of ocular adnexal extranodal marginal zone mucosa-associated lymphoid tissue lymphoma (2023 edition)

Ocular adnexal extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (OAML) is a common malignant tumor that affects the ocular adnexal region. The incidence of OAML is increasing due to the aging population. The tumor invades the ocular adnexal region, which can result in abnormal ocular appearance and function, thereby reducing the quality of life. Currently, there is no standardized diagnosis and management guideline for OAML. To enhance the standardization of diagnosis and management in OAML, a collaborative effort was undertaken by esteemed organizations in China. The Cellular Immune Therapy Committee of China Association for Promotion of Health Science and Technology, the Ocular Tumor Committee of Chinese Medical Doctor Association for Ophthalmologist Branch, the Imaging Medicine Branch of Chinese International Exchange and Promotion Association for Medical and Healthcare, the Tumor and Microecology Professional Committee of China Anti-cancer Association, and the Lymphoma Immunotherapy Committee of Beijing Cancer Prevention Society jointly convened a panel of experts to develop the inaugural "Chinese Expert Consensus on the Diagnosis and Management of ocular adnexal extranodal marginal zone mucosa-associated lymphoid tissue lymphoma (2023 edition)"..

A UV-related risk analysis in ophthalmic malignancies: Increased UV exposure may cause ocular malignancies

PurposeTo explore the role of ultraviolet radiation (UVR) in the occurrence and development of various ocular malignancies. MethodsIn this article, we retrieved ocular malignancy data from the Global Cancer Observatory (GCO) and performed correlation analysis with the global UV index and sunshine duration. We searched for associated studies using the following databases: Embase, Pubmed, Cochrane Library, and Google Scholar. We conducted the literature by searching the Mesh terms denoting an exposure of interest ("UV radiation", "ultraviolet rays", and "ocular malignancies", All studies included are published until December 30, 2023 without language restrictions. ResultsThe mechanisms and epidemiological statistics of UVR on the onset and progression of eyelid malignancies are the most studied and clear. The role of UVR in conjunctival melanoma is similar to that in eyelid melanoma. The relationship between uveal melanoma and UVR is controversial, however, it may have at least a certain impact on its prognosis. UVR causes ocular surface squamous neoplasia by further activating HPV infection. ConclusionsUVR is a decisive risk factor for ocular malignancies, but the incidence of ultraviolet-induced tumors is also affected by many other factors. A correct and comprehensive understanding of the mechanisms of UVR in the pathogenesis of ocular malignant tumors can provide patients with more effective and selective immune regulation strategies.

Comparing efficacy of charged-particle therapy with brachytherapy in treatment of uveal melanoma.

Uveal melanoma (UM) is the most common primary ocular tumour in adults. The most used eye-preserving treatments are charged-particle therapy (CPT) and brachytherapy. We performed a systematic review and meta-analysis to compare efficacies and complications of these two radiotherapies. We searched EMBASE, PubMed, MEDLINE, and the Cochrane Library from January 2012 to December 2022. Two independent reviewers identified controlled studies comparing outcomes of CPT versus brachytherapy. Case series that utilize either treatment modality were also reviewed. One hundred fifty studies met the eligibility criteria, including 2 randomized control trials, 5 controlled cohort studies, and 143 case series studies. We found significant reduction in local recurrence rate among patients treated with CPT compared to brachytherapy (Odds ratio[OR] 0.38, 95% Confidence interval [CI] 0.24-0.60, p < 0.01). Analysis also showed a trend of increased risks of secondary glaucoma after CPT. No statistically significant differences were found in analyzing risks of mortality, enucleation, and cataract. Our study suggested no difference in mortality, enucleation rate and cataract formation rate comparing the two treatments. Lower local recurrence rate and possibly higher secondary glaucoma incidence was noted among patients treated with CPT. Nevertheless, the overall level of evidence is limited, and further high-quality studies are necessary to provide a more definitive conclusion.

Deep ocular tumor classification model using cuckoo search algorithm and Caputo fractional gradient descent

While digital ocular fundus images are commonly used for diagnosing ocular tumors, interpreting these images poses challenges due to their complexity and the subtle features specific to tumors. Automated detection of ocular tumors is crucial for timely diagnosis and effective treatment. This study investigates a robust deep learning system designed for classifying ocular tumors. The article introduces a novel optimizer that integrates the Caputo fractional gradient descent (CFGD) method with the cuckoo search algorithm (CSA) to enhance accuracy and convergence speed, seeking optimal solutions. The proposed optimizer’s performance is assessed by training well-known Vgg16, AlexNet, and GoogLeNet models on 400 fundus images, equally divided between benign and malignant classes. Results demonstrate the significant potential of the proposed optimizer in improving classification accuracy and convergence speed. In particular, the mean accuracy attained by the proposed optimizer is 86.43%, 87.42%, and 87.62% for the Vgg16, AlexNet, and GoogLeNet models, respectively. The performance of our optimizer is compared with existing approaches, namely stochastic gradient descent with momentum (SGDM), adaptive momentum estimation (ADAM), the original cuckoo search algorithm (CSA), Caputo fractional gradient descent (CFGD), beetle antenna search with ADAM (BASADAM), and CSA with ADAM (CSA-ADAM). Evaluation criteria encompass accuracy, robustness, consistency, and convergence speed. Comparative results highlight significant enhancements across all metrics, showcasing the potential of deep learning techniques with the proposed optimizer for accurately identifying ocular tumors. This research contributes significantly to the development of computer-aided diagnosis systems for ocular tumors, emphasizing the benefits of the proposed optimizer in medical image classification domains.

Novel frameless LINAC radiosurgery solution for uveal melanoma.

Radiation treatment has replaced enucleation as an organ-preservation treatment for patients with uveal melanoma (UM). We developed a novel non-invasive, frameless LINAC based solution for fractionated stereotactic radiosurgery (fSRS) treatment. We designed and constructed the a stereotactic ocular localization box that can be attached and indexed to a stereotactic LINAC tabletop. It contains adjustable LED lights as a gaze focus point and CCD camera for monitoring of the patient's eye position. The device also has 6 infrared spheres compatible with the ExacTRAC IGRT system. Treatment plans were developed using iPLAN Dose version 4.5, with conformal dynamic arcs and 6MV photon beam in flattening filter free mode, dosed to 50Gy in 5 fractions. During treatment, patients were instructed to stare at the light when a radiation beam is prepared and ready for delivery. Eye movement was tracked throughout treatment. Residual setup errors were recorded for evaluation. The stereotactic ocular localization box was 3D-printed with polylactic acid material and attached to the stereotactic LINAC tabletop. 10 patients were treated to evaluate the feasibility, tolerability and setup accuracy. Median treatment time for each arc is 17.3 ± 2.4 seconds (range: 13.8-23.4). After ExacTRAC setup, the residual setup errors are -0.1 ± 0.3mm laterally, -0.1 ± 0.3mm longitudinally, and 0 ± 0.2mm vertically. The residue rotational errors are -0.1 ± 0.3 degree pitch, 0.1 ± 0.2 degree roll, and 0 ± 0.2 degree couch rotation. All patients received treatment successfully. We successfully developed a novel non-invasive frameless mask-based LINAC solution for SRS for uveal melanoma, or other ocular tumors. It is well tolerated with high set up accuracy. Future directions for this localization box would include a multi-center trial to assess the efficacy and reproducibility in the fabrication and execution of such a solution for UM therapy.

Abstract 967: Clinical applicability of targeted panel sequencing in liquid biopsies for disease diagnosis and monitoring of patients with pediatric solid tumors

Abstract Liquid biopsy assays based on sequence analysis of cell-free DNA (cfDNA) have the potential to transform patient care. We recently validated a liquid biopsy platform, LBSeq4Kids, for patients with retinoblastoma, brain tumors and solid tumors using low pass whole genome sequencing (LP-WGS) of cfDNA from aqueous humor (AH), cerebrospinal fluid (CSF), and plasma (PL) to detect Copy Number Alterations (CNAs) in circulating tumor DNA (ctDNA). Herein, we present phase 2, a high-depth comprehensive Next-Generation Sequencing (NGS) panel using cfDNA that allows us to detect SNV’s, indels and gene fusions in clinically relevant genes for pediatric solid and brain tumors. Seventy-four cfDNA specimens have been analyzed to date, using plasma from 43 patients with solid tumors, CSF from 25 patients with brain tumors and AH from six patients with ocular tumors including retinoblastoma. cfDNA was extracted at diagnosis, during therapy, at remission and/or relapse. Sequencing libraries were constructed with the xGen Prism DNA Library Prep Kit using 5ng of cfDNA. For the detection of recurrent mutations and fusions we designed a custom panel using a hybridization-based capture method (Twist Bioscience) that included full coverage of the exons of 136 genes harboring recurrent mutations and selected introns for five genes with recurrent rearrangement breakpoints including BRAF, EWSR1, SYT, FOXO1 and NTRK1. Hybridized libraries were paired-end sequenced (Illumina NextSeq 500) at an average 1000x collapsed coverage. Mutations identified in cfDNA were compared with those in the primary or metastatic tumors profiled with our OncoKids® NGS panel. A total of 35/43 (81%) plasma specimens were positive for either an SNV, deletion or fusion with the most common events being a somatic missense variant in TP53 (13/35, 37%) or translocation involving EWSR1 (9/35, 26%). A total of 16/25 (64%) CSF specimens were positive for SNVs and fusions, most often involving KIAA1549::BRAF (7/25, 28%) in low grade gliomas. A germline variant in RB1 was detectable in two AH specimens from the left and right eye of a patient with bilateral retinoblastoma while plasma from a patient with metastatic retinoblastoma demonstrated clinically relevant variants in RB1 and DICER1. Serial cfDNA profiling revealed a clinically reported TP53 c.746G&amp;gt;C missense variant in the plasma of a patient with osteosarcoma at multiple timepoints through the disease course, with evidence for relapse prior to standard imaging. These data suggest that clinical implementation of a second version of LBSeq4Kids that combines CNA and mutation analysis allows for diagnosis, residual disease detection and risk stratification for pediatric patients with diverse tumor types, regardless of histologic grade, with a variety of pediatric solid and brain tumors. Citation Format: Eirini Christodoulou, Venkata Yellapantula, Katrina O'Halloran, Liya Xu, Jesse L. Berry, Fariba Navid, Dejerianne Ostrow, Jaclyn A. Biegel. Clinical applicability of targeted panel sequencing in liquid biopsies for disease diagnosis and monitoring of patients with pediatric solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 967.

Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study.

Identification and referral of at-risk patients from primary care practitioners (PCPs) to eye care professionals remain a challenge. Approximately 1.9 million Americans suffer from vision loss as a result of undiagnosed or untreated ophthalmic conditions. In ophthalmology, artificial intelligence (AI) is used to predict glaucoma progression, recognize diabetic retinopathy (DR), and classify ocular tumors; however, AI has not yet been used to triage primary care patients for ophthalmology referral. This study aimed to build and compare machine learning (ML) methods, applicable to electronic health records (EHRs) of PCPs, capable of triaging patients for referral to eye care specialists. Accessing the Optum deidentified EHR data set, 743,039 patients with 5 leading vision conditions (age-related macular degeneration [AMD], visually significant cataract, DR, glaucoma, or ocular surface disease [OSD]) were exact-matched on age and gender to 743,039 controls without eye conditions. Between 142 and 182 non-ophthalmic parameters per patient were input into 5 ML methods: generalized linear model, L1-regularized logistic regression, random forest, Extreme Gradient Boosting (XGBoost), and J48 decision tree. Model performance was compared for each pathology to select the most predictive algorithm. The area under the curve (AUC) was assessed for all algorithms for each outcome. XGBoost demonstrated the best performance, showing, respectively, a prediction accuracy and an AUC of 78.6% (95% CI 78.3%-78.9%) and 0.878 for visually significant cataract, 77.4% (95% CI 76.7%-78.1%) and 0.858 for exudative AMD, 79.2% (95% CI 78.8%-79.6%) and 0.879 for nonexudative AMD, 72.2% (95% CI 69.9%-74.5%) and 0.803 for OSD requiring medication, 70.8% (95% CI 70.5%-71.1%) and 0.785 for glaucoma, 85.0% (95% CI 84.2%-85.8%) and 0.924 for type 1 nonproliferative diabetic retinopathy (NPDR), 82.2% (95% CI 80.4%-84.0%) and 0.911 for type 1 proliferative diabetic retinopathy (PDR), 81.3% (95% CI 81.0%-81.6%) and 0.891 for type 2 NPDR, and 82.1% (95% CI 81.3%-82.9%) and 0.900 for type 2 PDR. The 5 ML methods deployed were able to successfully identify patients with elevated odds ratios (ORs), thus capable of patient triage, for ocular pathology ranging from 2.4 (95% CI 2.4-2.5) for glaucoma to 5.7 (95% CI 5.0-6.4) for type 1 NPDR, with an average OR of 3.9. The application of these models could enable PCPs to better identify and triage patients at risk for treatable ophthalmic pathology. Early identification of patients with unrecognized sight-threatening conditions may lead to earlier treatment and a reduced economic burden. More importantly, such triage may improve patients' lives.

Pharmacogenomic Analysis of Response to Topical Tumor Necrosis Factor α Antagonist Licaminlimab (OCS-02) in Dry Eye Disease [RETRACTED

The purpose of this study was to evaluate the pharmacogenomics of response to topical ocular tumor necrosis factor α (TNFα) inhibitor licaminlimab in patients with DED. Three single-nucleotide polymorphisms (SNPs) associated with Sjögren syndrome, 3 in the TNFα gene and 1 in the TNF receptor 1 (TNFR1) gene, were assessed for association with response to licaminlimab in participants from a randomized, vehicle-controlled, Phase 2 study in which adults with DED and severe ocular discomfort persisting despite treatment with artificial tears received licaminlimab or vehicle for 6 weeks. Response was assessed for change from baseline in Global Ocular Discomfort score at Day 29 of treatment. The pharmacogenomic analysis was a prospectively specified exploratory objective of the study. mRNA expression for TNFα, interleukin (IL) 1β, and IL8 in conjunctival epithelium cells was determined. The relationship between SNPs and response to licaminlimab was assessed using a mixed model repeated measures analysis. SNP rs1800693 in the TNFR1 gene showed a significant effect on response to licaminlimab ( P < 0.0001, initial association test); no effect was seen for any of the other SNPs tested. The CC genotype of rs1800693 was associated with much greater response to licaminlimab than the CT or TT genotypes: LS mean changes from baseline to Day 29 in Global Ocular Discomfort score were -29.5, -0.09, and -3.90, in patients with the CC, CT, and TT genotypes, respectively ( P < 0.0001). No significant effect was observed in vehicle-treated patients. Improvements from baseline were seen in 3/4 licaminlimab-treated participants with the CC genotype. Conjunctival epithelium cell levels of mRNA for TNFα, IL1β, and IL8 decreased from baseline in participants with the CC genotype, but not with the CT or TT genotypes. Between-genotype differences in mRNA levels were not observed in participants receiving vehicle. The CC genotype of rs1800693, relatively common in patients with DED, was strongly associated with response to licaminlimab and decreased inflammatory cytokine gene expression in ocular surface cells during treatment. This study is one of the first to our knowledge to investigate pharmacogenomics in the treatment of DED.

Construction of a Functional Nucleic Acid-Based Artificial Vesicle-Encapsulated Composite Nanoparticle and Its Application in Retinoblastoma-Targeted Theranostics.

Retinoblastoma (RB) is an aggressive tumor of the infant retina. However, the ineffective targeting of its theranostic agents results in poor imaging and therapeutic efficacy, which makes it difficult to identify and treat RB at an early stage. In order to improve the imaging and therapeutic efficacy, we constructed an RB-targeted artificial vesicle composite nanoparticle. In this study, the MnO2 nanosponge (hMNs) was used as the core to absorb two fluorophore-modified DNAzymes to form the Dual/hMNs nanoparticle; after loaded with the artificial vesicle derived from human red blood cells, the RB-targeted DNA aptamers were modified on the surface, thus forming the Apt-EG@Dual/hMNs complex nanoparticle. The DNA aptamer endows this nanoparticle to target the nucleolin-overexpressed RB cell membrane specifically and enters cells via endocytosis. The nanoparticle could release fluorophore-modified DNAzymes and supplies Mn2+ as a DNAzyme cofactor and a magnetic resonance imaging (MRI) agent. Subsequently, the DNAzymes can target two different mRNAs, thereby realizing fluorescence/MR bimodal imaging and dual-gene therapy. This study is expected to provide a reliable and valuable basis for ocular tumor theranostics.