Sewickley Valley Hospital

Abstract The Cancer Genome Atlas (TCGA) has made it possible to study cancer-related mutations, including missense mutations. We used the PolyPhen scoring system to determine the functional impact of missense mutations. Mutation data of genes from 12 selective cancers (Head & Neck Squamous Cell Carcinoma, Kidney Chromophobe, Liver Heptocellular Carcinoma, Kidney Renal Clear Cell Carcinoma, Kidney Renal Papillary Cell Carcinoma, Lung Squamous Cell Carcinoma, Prostate Adenocarcinoma, Thyroid Carcinoma, Bladder Urothelial Carcinoma, Lung Adenocarcinoma, Breast Invasive Carcinoma, Stomach Adenocarcinoma) were downloaded from the cBioPortal; subsequently, the missense mutations that met these two criteria: 1. number of mutations in the sample must be greater than or equal to 5; 2. functional impact must be possibly or probably damaging based upon PolyPhen score, were identified. We found that Papillary Renal Cell Carcinoma had the highest average PolyPhen score of 0.932 while Prostate Adenocarcinoma had the lowest average PolyPhen score of 0.896; showing that the missense mutations in Papillary Renal Cell Carcinoma had more detrimental missense mutations. Further analysis showed that amino acid Arginine (R) was the most commonly substituted amino acid among the 12 cancers we studied. The 5 relatively high substituted amino acids were R (15.8%), E (9.33%), D (9.0%), G (8.94%), S (8.48%). In addition, we also studied the disparities of most commonly substituted amino acids in White, Black, and Asian. We found that in the Black race, the most common substitution percentages were amino acids R (20.73%), G (18.52%), E (16.05%), D (12.11%), S (11.75%). In the White race, the most common substitution percentages were amino acids R (16.36%), G (9.03%), D (9.01%), E (8.81%), S (8.56%). In the Asian race, the most common substitution percentages were amino acids I (34.91%), E (24.32%), R (18.46%), T (16.45%), P (15.27%). This interesting finding demonstrated that the White and the Black races shared more similarity of the mutation pattern in the most frequently substituted amino acids. In contrast, the Asian race had a distinct amino acid substitution pattern of missense mutations. By examining the mutation pattern, we hope to identify key genes as biomarkers so that the somatic mutation landscape of different races can be described. Citation Format: Lucas C. Wang, Kai He, Allen Bai. Computational analysis of missense mutations & amino acid substitution pattern of 12 selective cancers’ candidate genes using TCGA datasets [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr C016.

This article aims to empower the interventional pain physician to utilize RFA effectively by explaining the technical and electrophysiological features of monopolar, bipolar, and internally cooled RFA. Scientific data are used to provide advice on the effective, well tolerated, and rational application of these techniques. Moreover, physicians need to know how to analyze and generalize ex-vivo and in-vivo models to the clinical setting to optimize clinical outcomes. Recent studies suggest that there are many ways to enhance the technical effectiveness of interventional pain medicine RFA through adjustments in the equipment selection and settings and the local tissue conditions specific to the targeted anatomical area. These modifications could assist in improving clinical and safety outcomes. To optimize both the efficacy and safety of RFA, physicians must understand, conceptualize, interpret, and clinically translate the basic science of RFA. This knowledge is crucial for optimizing equipment selection and settings based on target location to enhance clinical outcomes and limit technical failures.

<h3>Background and Aims</h3> Spinal Cord Stimulation (SCS) is an established treatment indicated as an aid in the management of chronic, intractable pain of the trunk and/or limbs. Differential Target Multiplexed™ SCS is a proprietary therapy supported by preclinical and clinical research.^1,2 In a recent Randomized Controlled Trial, DTM™ SCS demonstrated superior back pain relief to traditional SCS.² To further tailor therapy delivery, DTM derivatives with reduced-energy profiles are being investigated. <h3>Methods</h3> The DTM-LE SCS Study (NCT04601454) is an ongoing prospective, multi-center, open-label, post-market study to evaluate the efficacy of a DTM™ SCS derivative therapy. Primary inclusion criteria were patients indicated for SCS and overall pain Visual Analog Score (VAS) of ≥6 with moderate to severe back and leg pain. <h3>Results</h3> Fifty-seven subjects (57.9% female) were enrolled and 43 completed trialing. Thirty-eight (38/43, 88.4%) had a successful trial period and 35 received a neurostimulator. At 3-months (n=32), the mean (%) change in overall VAS from baseline was -3.9 (-50.4%) and 75% of subjects reported satisfaction with the therapy. Furthermore, 68.8% of subjects improved to a less disabled category (Oswestry Disability Index) and 77.4% of subjects were in a better health state (EQ-5D). Outcomes from the 6-month visit will also be presented. <h3>Conclusions</h3> Clinically meaningful pain relief, a high degree of therapy satisfaction, improved function, and improved quality of life were reported in this DTM™ SCS reduced-energy derivative study by patients with chronic back and leg pain.Energy conserving approaches have the potential to impact patient experience with both rechargeable and recharge-free devices.

Less than nine years since its initial release, TypeScript has become the world's third most popular programming language. A modern imperative language, TypeScript balances the pedagogical benefits of Python and Java, blending the simplicity and brevity of the former with the greater safety of the latter. Furthermore, its type system obviates many of JavaScript's notorious papercuts, making it arguably easier to teach than its dynamically-typed cousin. Yet all presently-available TypeScript curricula miss this opportunity, exclusively targeting programmers already familiar with JavaScript.

With the development of digital society, more and more museums have digitalized their artifacts with details and put together highlights for visitors to view the selected representations of the virtual collections. It becomes very crucial to evaluate the representations of these highlight artifacts. A set of novel assessment metrics for quantitatively assessing the representations of highlight artifacts from six aspects in a virtual museum are presented in this paper. These assessment respects include the periodization representation ratio index, geography representation ratio index, object type representation ratio index, figures depicted representation ratio index, material representation ratio index, and size representation ratio index. A case study of Egyptian artifacts in a virtual museum with practical data shows the effectiveness of the proposed metrics for assessing the representations of highlight artifacts in a virtual museum.

Traditional livestock farming generates a huge amount of greenhouse gas that will harm our environment. With the improvement of the technology, plant-based meat has become a reality. Plant-based meat is considered a perfect substitute for traditional meat since it will not generate greenhouse gas during production. However, the existing literature rarely studies the benefit of plant-based meat, and only a few articles are evaluating the plant-based meat companies. A plant-based pork company from Hong Kong will be introduced and evaluate if it is worth investing. Methods are used to analyze the company, including market analysis, target customer analysis, company competitiveness analysis, and company financial status analysis. The result indicates the company is competitive in the industry, and we are optimistic about its future development. This paper aims to provide a creditable analysis for the public investors who are interested in investing plant-based companies.