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The Coronavirus Disease 2019 (COVID-19) is a world-wide health crisis on a scale that has not been witnessed in modern times. Socio-economic (SE) factors impact every facet of human existence, including lifestyle, which significantly affects health-related quality of life. This article compiles major studies and discusses health disparities based on SE and community status in cardiovascular and cancer patients with a special focus on cardio-oncology in the context of COVID-19.

e15023 Background: The pool of somatic alterations with prognostic and predictive significance in management of solid tumors is rapidly expanding. Multigene panel testing using next generation sequencing (NGS) technology from peripheral blood specimen is convenient and readily available in most oncology practices. Widespread adoption is lagging, in part due to anticipation of low probability of finding an actionable information. We share our experience of real-world utilization of this technology. Methods: Blood based next generation testing ordered by providers in Georgia (outside Atlanta) between January 1, 2015, and December 31, 2021, via Guardant platform for all solid tumors was included in this analysis. Guardant360 and Guardant360CDx assays sequenced circulating cell-free DNA to detect somatic alterations in up to 83 cancer associated genes. Data was obtained from Guardant360 on site of cancer, comprehensive genomic profile, and therapeutic options at the time of report. Results: 25 providers in Georgia from 11 institutions sent 335 blood samples from solid cancer patients. There were 192 males and 143 females. Most common cancers were lung and bronchus (45%), prostate (13%), breast (11%), pancreaticobiliary (8%), colorectal (4%), melanoma (3%) and kidney (3%). Any somatic mutations were detected in 85% (285/335) patients. A total 1524 alterations comprising of 977 unique alterations involving 83 genes were detected, with an average of 5.3 unique genomic alterations per patient. The genes that were altered at least 2% of times were TP53 (20%), ATM (5.5%), PI3KCA (4.3%), KRAS (3.8%), APC (3.5%), AR (2.8%), PDGFRA (2.8%), ARIDIA (2.5%) and BRAF (2.2%). Of all alterations, 11% (170/1524) were synonymous and 31% (474/1524) were variant of unknown significance. 85 samples had tumor mutational burden (TMB) results available, with 55% (47/85) having TMB > 10 mut/Mb. The average TMB was 14.9 mutations/Mb. Out of 252 specimens evaluated for microsatellite instability (MSI), 1 had high MSI. An FDA approved drug targeting the alteration/pathway was available for the same cancer in 4% (77/1524) and for other cancers in 19% (291/1524) of alterations. An approved drug matched to the alteration was available for the same cancer in 16% (54/335) patients and for other cancers in 45% (153/335) patients. 12.5% (42/335) patients were predicted not to benefit from certain drugs. 74% (249/335) had a clinical trial available for the mutations present. Conclusions: Eighty five percent solid tumor patients had a positive result in blood based NGS. Seventy four percent patients had at least one therapeutically applicable (suggestion for a drug to target the alteration approved for the same/different cancers or lack of benefit due to the alteration) information. Thus, blood based NGS yields clinically relevant and actionable information to guide management in solid tumors.

e19055 Background: Socioeconomic disparities in healthcare have been well documented in America, with cancer being a critical area. One in four deaths are caused by cancer, and the effects on different communities are not equal. Clinical observations suggest that poorer socioeconomic circumstances lead to more frequent, later stage diagnoses and worse outcomes. The aim of this project was to quantify the sociodemographic and geographic contributions to disparities in advanced, metastatic breast cancer within the Augusta population and surrounding areas. Methods: Records of patients managed for breast cancer at the Georgia Cancer Center between Jan 2009- Jun 2019 were reviewed. 80 patients who presented with early stage breast cancer (clinical stage I) without positive lymph nodes were compared with 80 patients who presented with advanced, metastatic disease (clinical stage III-IV). Their race, breast cancer characteristics, insurance status, geographic proximity to a mammography site or major healthcare facility, and time interval between diagnosis and treatment were compared. Results: Results show that 73.75% early stage patients had private insurance, while 41.25% late stage patients had private insurance (p value < 0.0001). The early stage patients were 4.0 times more likely to have private insurance than late stage patients. Results also show that 25.0% of late stage patients had annual mammography screenings, while 77.78% of early stage patients had regular screening for mammograms (p value < 0.0001). The late stage patients were 1/10 as likely to have regular screening for mammogram as early stage patients. 80.6% of patients that received regular mammograms had private insurance, while the remaining 19.4% of those patients had public insurance. No statistical difference was shown in late and early stage presentation based on HER2 and/or triple negative (ER-, PR-, HER2-) status. Conclusions: There is a significant outcome of advanced, metastatic breast cancer in patients that do not have private insurance and in those that do not receive regular mammograms. Our findings support the importance of investing resources into alleviating differences in various socioeconomic populations as they relate to the amount and quality of cancer healthcare available. While the incidence of mortality in breast cancer is decreasing nationwide, disparities in morbidity and mortality will most likely continue unless there is an aggressive effort towards addressing said differences.

In recent time Neural network system has discovered its use in disease diagnoses, which is depended upon prediction from symptoms data set. Chronic kidney disease detection system using neural network is shown here. This system of neural network accepts disease-symptoms as input and it is trained according to various training algorithms. Levenberg, Bayesian regularization, Scaled Conjugate and resilient back propagation algorithm are discussed here. After neural network is trained using back propagation algorithms, this trained neural network system is used for detection of kidney disease in the human body. The back propagation algorithms presented here have capacity for distinguishing amongst infected patients or non-infected person.

Cloud computing is an innovation technology for supply of computing as a utility towards digital world. It is provide platform and services for the massive-scale data storage and data sharing. Big Data on cloud environment analyze, storage, manage, visualization, security are some challenging techniques that requires more timing and large computation infrastructure processing. This paper mainly brush up for an era of 360° vision of massive data on cloud services computing. The meaning, taxonomy and literature reviews for some papers of cloud along with some big data model are introduced. The association and role of deluge computing and cloudy data, big data open sources tools are also discussed. Last but not least, research challenges and unsolved exploration problems are shortened.

e23209 Background: Increasing literature suggests a protective role of aspirin in breast cancer. PI3K mutation is prevalent in 30% of estrogen receptor positive and 50% of HER2 receptor positive breast cancers. Aspirin inhibits prostaglandin-endoperoxide synthase 2 (PTGS2) through down-regulation of phosphatidylinositol 3-kinase (PI3K). A study in colorectal cancer demonstrated that regular use of aspirin was associated with superior survival among patients with PI3K mutated tumors. The aim of this study was to retrospectively examine the presence of PI3K mutation in breast cancer tissue in patients who used aspirin during treatment, and compare survival between those with and without PI3K mutations. Methods: Among 1259 patients diagnosed with breast cancer between year 2002 to 2013 at Augusta University (AU), 47 patients who used at least 81 mg of aspirin daily during cancer treatment were identified, and their breast cancer tissue blocks were analyzed for PI3K mutation by gene sequencing technique. Genomic DNAs were extracted from formalin fixed paraffin-embedded tissues using GeneRead DNA FFPE kit (Qiagen) and sequenced on Miseq sequencer (Illumina). We selectively analyzed five genes involved in the PI3K pathway, including PIK3CA, AKT, PIK3R1, PTEN, and TP53. The presence of mutation was correlated to overall survival, using Kaplan-Meier and Cox Regression analyses. Results: Of the 47 patients, 53% were Caucasian and 47% were African American. 70% were early stage (TNM stage I, II) and 30% were late stage (TNM stage III, IV). 69% were never smokers, 31% were current or former smokers. ER, PR and HER2 were expressed in 84%, 79%, and 86% patients respectively. 66% had PI3K mutation, and 34% were PI3K wild type. There was no significant difference (log-rank test p = 0.28) in overall survival (OS) of patients with PI3K mutation versus those without, although the former group had longer survival numerically. The multivariable-adjusted hazard ratio (HR) for PI3K mutation was 0.53 (p = 0.29). Conclusions: Our project supports justification for a larger study to explore the role of aspirin in prevention, treatment and prognosis of breast cancer, and to validate biomarkers such as PI3K and related genes mediating the aspirin effect.

7105 Background: Leukemia induction treatment is associated with significant morbidity and mortality. Myocardial stunning may be a result of chemotherapy as well as cytokines released from lysis of tumor cells leading to drop in ejection fraction (EF). When CHF is associated with sepsis, it may result in increased mortality. We report the incidence of CHF in leukemia patients undergoing induction. Methods: We performed a retrospective chart review on patients diagnosed with AML including acute promyelocytic leukemia (APL), who received chemotherapy between December 1, 2004 and December 31, 2012 at Georgia Regents University. Baseline and follow up EFs were recorded by echocardiogram or nuclear medicine scan. We evaluated patients who had a drop in EF after the first or subsequent inductions. We excluded patients who had a delayed drop in EF. Results: 217 consecutive patients with AML with normal ejection fraction at diagnosis were evaluated. 18 patients (8.2%) demonstrated a decrease in EF. This included 14 patients with AML and 4 with APL. 15 patients received one cycle of induction, 2 received re-induction and 1 was treated for relapsed disease. 2 patients did not receive anthracyclines(ACs). Median age of patients with CHF was 57 years (range 29-75). The median drop in EF was 23% (10-45%). Median days from the start of treatment to the observed drop were 25 (5-109). 6 patients are alive with median survival of 175 days. Overall, 5 out of 18 patients recovered their cardiac function with a median survival in these patients of 1,173 days. In 13 patients without recovery in EF survival was only 71 days. Conclusions: Chemotherapy by itself and cytokines released from treatment may result in reversible drop in EF in some patients and a persistent drop in the others. Re-induction is essential in a significant proportion of patients and ACs are commonly used that puts them at an increased risk for CHF. We propose that repeat cardiac evaluation, especially in patients getting re-induced, is necessary for identifying patients with cardiac abnormalities to prevent further cardiac injury and increased mortality.