Zamora, Diana

e21573 Background: In melanoma, biomarkers such as lactate dehydrogenase (LDH), circulating tumor DNA (ctDNA), and the neutrophil-lymphocyte ratio (NLR) have been linked to disease progression. This study aims to compare survival outcomes in melanoma patients based on high versus low levels of these biomarkers, assessing their impact on survival within their respective groups. By evaluating these biomarkers, we hope to identify potential prognostic indicators that could guide treatment decisions and improve personalized care in melanoma management. Methods: We conducted a retrospective survival analysis of 43 melanoma patients, excluding 16 due to incomplete data at Dignity Health Cancer Institute in Phoenix, Arizona. Kaplan-Meier survival analysis was used to compare survival between groups with high vs low levels of biomarkers. Patients were stratified by median values for LDH, NLR, and the presence of detectable ctDNA. Patients included in the analysis were treated systemically with pembrolizumab, encorafenib/binimetinib, nivolumab, or ipilimumab/nivolumab. Survival curves were generated, and statistical significance was assessed using log-rank tests. Data was sourced from our electronic medical record and Signatera™ assay to obtain the primary endpoints. Specimens were standardized in accordance with Natera’s™ specifications. All analyses were executed in GraphPad Prism software. Results: When stratifying by ctDNA, 18 patients had undetectable ctDNA, while 9 had detectable ctDNA with an average level of 1330 (SD = 2067). The median survival for the high ctDNA group was 220 days, whereas the low ctDNA group had significantly longer survival, with only two deaths observed (p = 0.006) within the time period. For LDH, using a cutoff of 204 (IQR = 90.5), patients with high LDH had a median survival of 220 days, while those with low LDH had a significantly longer survival (p = 0.004). When comparing NLR with a cutoff at 2.94 (IQR = 3.7), no significant difference in survival was found between high and low NLR groups (p = 0.72). Conclusions: Our findings show that patients with higher levels of ctDNA and LDH have significantly shorter survival compared to those with low levels of these biomarkers. While NLR did not show a significant survival difference, the study suggests that higher ctDNA and LDH could be important markers for identifying patients at greater risk of poor outcomes. These results underscore the potential value of monitoring these biomarkers to assess disease progression and survival in melanoma patients. Further studies with larger cohorts are needed to validate these findings and refine melanoma prognostic models.

INTRODUCTION Atrial fibrillation (AFib) is a recognized complication in patients with chronic lymphocytic leukemia (CLL) treated with Bruton tyrosine kinase inhibitors (BTKis). Early detection and management of AFib are critical due to its association with increased morbidity and mortality. Traditional detection methods, such as intermittent EKGs and wearable devices, often capture only brief snapshots of cardiac activity, potentially missing episodes. Recent advances in artificial intelligence (AI) have enabled the development of algorithms that analyze electrocardiograms (EKGs) to predict AFib risk. These algorithms can potentially identify patients with undetected AFib and assess risk at a single point, reducing the need for continuous monitoring. This study evaluates the utility of an AI-enabled EKG algorithm in predicting AFib in patients with CLL treated with ibrutinib and acalabrutinib. METHODS Patients with CLL treated with ibrutinib and acalabrutinib were identified from a single-center database. Patients with CLL who received BTKi therapy at Mayo Clinic between 2015 and 2024 with available EKGs in the EMR were included. Patients were excluded if they received BTKi for non-CLL indications or if patients with CLL had documented AFib without accompanying EKGs in their medical records. An AI-enabled EKG algorithm developed by Attia et al. (Lancet, 2019) was used to estimate AFib probability (AFibAI). EKGs were categorized into pre-treatment, during treatment, and post-treatment phases. Mean values of all EKGs within each phase were used for analysis to reduce heterogeneity. Paired t-test was used for continuous variables and ROC analysis was used to evaluate diagnostic performance. A p-value of <0.05 was used for statistical analysis. RESULTS The analysis included 383 individual CLL patients (74% male, median age71; ace/ethnicity not available), of which 79 were treated with acalabrutinib and 304 with ibrutinib, with a total of 5844 EKGs analyzed. The AFibAI was significantly higher in EKGs with documented AFib compared to other EKGs, mostly normal sinus rhythm (0.5710 vs. 0.1857, p <0.001). Pre-treatment AFibAI was higher in patients who ultimately developed AFib after starting BTKi treatment compared to those who did not. Mean AFibAI at baseline was 0.2176 for those who developed AFib and 0.0986 for those who did not (p <0.001; difference between means: -0.1191 +/- 0.02005, 95% CI: 0.-0.1585 - 0.0796). Differences of baseline AFibAI were similar when stratified by BTKi. Trends in AFibAI scores indicated a significant increase during and after BTKi treatment in patients who developed AFib, with mean score of 0.2176 at baseline to 0.4064 post-treatment (p<0.001). In patients who did not develop Afib during BTKi therapy, there was minimal increase of AFibAI scores from 0.1041 at baseline to 0.1620 post-treatment (p = 0.0002). The ROC analysis showed an area under the curve of 0.7280 (SE = 0.03911, 95% CI: 0.6514 to 0.8047, p <0.001), indicating fair discriminatory ability. The sensitivity at the optimal threshold (0.1202) was 65.45% and the specificity was 74.59%, with a Youden's Index of 0.4004. To achieve a sensitivity of ≥90% for detecting patients who ultimately develop AFib, a threshold of 0.2368 was established (specificity of 41.82%). DISCUSSION Our study demonstrates the efficacy of an AI-enabled EKG algorithm in estimating atrial fibrillation risk among CLL patients treated with BTKis. We demonstrated that baseline AFibAI was notably higher in patients who ultimately developed AFib, suggesting that it could potentially identify patients at elevated risk before the onset of AFib. Early identification would allow for closer monitoring and timely intervention, potentially mitigating complications. Pending validation with an external cohort, the 90% sensitivity threshold could help identify the patients at highest risk, where other treatment options could be considered. The trend across different treatment phases revealed a significant increase in scores during treatment, indicating that AFibAI is responsive to changes induced by BTKi therapy and suggest its utility for patient monitoring. Practical questions remain about its impact on clinical decision-making and management. Future prospective studies should confirm the validity of identifying high-risk patients and its role in both treatment decisions and patient outcomes.

e23536 Background: Circulating tumor DNA (ctDNA) has gained prominence as a potential indirect marker for minimal residual disease (MRD) in various cancers, including soft tissue sarcomas (STS). Previous studies have suggested that indirect hematologic ratios – such as Neutrophil-Lymphocyte Ratio (NLR), Monocyte-Lymphocyte Ratio (MLR), Platelet-Lymphocyte Ratio (PLR), and Eosinophil-Lymphocyte Ratio (ELR) may correlate with worse outcomes. We sought to evaluate the correlation of NLR, MLR, PLR and ELR in a real world cohort of Non-Hispanic Whites (NHW) and Hispanics (H) with advanced STS. Methods: We performed a retrospective chart review at Dignity Health Cancer institute using our Electronic Medical Records (EMR) and Signatera™ assay to obtain our data points. Inclusion criteria were STS patients of all ages and stages of disease with complete records. We reviewed 33 patient charts, 14 NHW and 19 H patients. Of the NHW population, 11 were male (M) and 3 females (F). For the H population, 14 were M, and 5 were F. We utilized Spearman's rank correlation coefficient to assess monotonic relationships between ct-DNA levels and the hematologic ratios. ct-DNA was quantified through standardized assays per Protocol, with the resultant values treated as continuous variables in our statistical analyses. Power considerations, based on expected effect sizes and type I error rate adjustments were performed. Results: The Spearman’s correlation coefficients and p-values indicated varied associations across ethnic groups. For NHW, the correlations were generally weak and non-significant (NLR: r = 0.18, p = 0.54; MLR: r = -0.04, p = 0.89; PLR: r = 0.35, p = 0.21; ELR: r = 0.001, p = 1.00). Conversely, in the Hispanic cohort, stronger and statistically significant correlations were observed, particularly with NLR (r = 0.78, p < 0.0001) and MLR (r = 0.70, p < 0.001). Overall, the correlations across the entire study population did not reach statistical significance. Conclusions: This study revealed notable racial variations, particularly in the H population, in the relationship between ctDNA levels and hematologic ratios. The noteworthy associations found with NLR (r = 0.78, p < 0.0001) and MLR (r = 0.70, p < 0.001) highlight the possible usefulness of these ctDNA and these indirect biomarkers in assessing disease status in STS. These findings suggest the possibility of using hematologic ratios, particularly in the Hispanic population, as markers of disease progression similar as ctDNA. Hematologic ratios are more easily accessible to the general population compared to ctDNA in many underserved countries and communities. Future studies with larger cohorts are need to further analyze its validity.

e23535 Background: Our study aims to examine the relationship between the presence of circulating tumor DNA (ctDNA) and lactate dehydrogenase (LDH) in patients diagnosed with soft tissue sarcoma (STS). There is emerging yet limited data on the applicability of ctDNA in STS. LDH is a cheaper readily available test that has been associated with unfavorable overall survival in different malignancies. This research aims to understand the correlation between ctDNA and LDH as a tool to assess its utility as indirect markers of response to treatment in STS. Methods: This was a single-center retrospective chart review on patients diagnosed with STS. Eligibility criteria included a confirmed diagnosis and available measurements of both ctDNA and LDH levels. Correlation was compared between Non-hispanic whites (NHW) and Hispanics (H). Data was sourced from our electronic medical record and Signatera™ assay to obtain the primary endpoints. Specimens were standardized in accordance to Natera’s™ specifications. Study endpoints included the correlation coefficients between ctDNA and LDH levels. A two-stage study design was applied for a robust analysis. Spearman's rank correlation coefficient (denoted as r) was employed for statistical analysis, assessing the strength and direction of the monotonic relationship between ctDNA and LDH levels. Marker values were treated as continuous variables in these analyses. All analyses were executed in GraphPad Prism software. Results: The cohort comprised 33 patients with STS (14 NHW, 19 H). The median LDH in H was 189 (interquartile range (IQR) = 184) vs 184 (IQR = 105) in NHW. Comparatively, the median ctDNA in H was 0 (IQR = 39.3) and also 0 (IQR = 11.1) in NHW. The overall correlation between ctDNA and LDH levels was moderate positive (r = 0.5, p = 0.002), indicating a consistent, though not necessarily linear, relationship. Subgroup analysis showed r = 0.19 (p = 0.52) in NHW and r = 0.43 (p = 0.1) in H groups, suggesting ethnic variability in the ctDNA-LDH correlation. These findings were statistically significant within the predefined confidence limits and probability values. Conclusions: Our study demonstrated a significant correlation between ctDNA levels and LDH in STS patients, implying that higher ctDNA may be associated with higher LDH levels. This association can lead clinicians in monitoring LDH more frequently as an indirect marker of response to treatment in STS. This correlation suggests an increased tumor burden with a higher inflammatory response, with variations across different racial groups. The wider availability of LDH testing compared to ctDNA in many centers highlights LDH's potential as an indirect marker for STS. Further research with larger prospective cohorts is essential to confirm LDH's role paired with ctDNA in guiding treatment decisions in STS, enhancing its utility in clinical practice.

e23534 Background: The use of tumor genomic profile (TGP) has led to improved genomic-directed therapies in many solid cancers. Due to its heterogeneity, soft tissues sarcomas (STS) have not benefited much from these genomic advances. Emerging research indicates that about 30% STS have actionable alterations which can lead to potential treatment options (Gounder et al. Nature 2022). Our study aimed to compare the differences in genomic-directed therapy between Non-Hispanic White (NHW) and Hispanic (H) patients with STS at Dignity Health Cancer Institute. Methods: We performed a retrospective analysis of medical records using the electronic medical record. Our study specifically examined patients diagnosed with STS, with a sample size of 14 NHW and 19 H individuals.The eligibility criteria consisted of known diagnosis of STS with completed TGP. We conducted a descriptive analysis using GraphPad Prism Software, where mutations were evaluated as continuous variables. The statistical significance of differences between groups was assessed using an unpaired t-test, with a significance level of < 0.05. Results: We found 73 tumor alterations, with 11 potentially targetable (15.2%). Most patients had negative to low tumor mutational burden (0-2 mut/Mb) with only 2 patients with high TMB ( > 10 mut/Mb). The most common mutations were TP53 and CDK4 with 9 patients (12%) each. The NHW group had an average of 2.57 mutations (standard deviation = 2.87), whereas the H group had an average of 1.42 mutations (standard deviation = 1.35). The median values were 2 and 1, respectively, with no statistically significant difference (p = 0.21). The average for mutations of unknown significance was 1.54 in NHW individuals, while it was 1.00 in Hispanics. In the NHW group showed 11 males and 3 females, while the H group included 14 males and 5 females. There was no significant difference in gender representation between the two groups (p = 1). 3 patients (9%) received non-FDA approved treatments based on TGP (1 CDKN2A-abemaciclib, 1 CDK4-ribociclib and 1 IDH1-ivosidenib) and 2 patients (6.6%) were enrolled in clinical trials. Conclusions: Our investigation reveals that there is no statistically significant disparity in the frequency of mutations between NHW and H groups in our sample. Nevertheless, there was an evident inclination towards an increased frequency of mutations in NHW. Similarly, the occurrence of mutations with uncertain significance was slightly higher in NHWs, although the difference was not statistically significant. Only a minority of patients had targetable mutations or were enrolled in clinical trials. However, the routine use of genomic profiles may lead to more personalized treatments. Our research emphasizes the need to expand the use of comprehensive genomic profiles to increase directed treatments for patients with STS.

e23533 Background: Circulating tumor DNA (ctDNA) has shown promise as a biomarker for cancer detection and tracking in multiple malignancies like melanoma, colon and lung. Due to the heterogeneity of sarcoma, there has been limited research on ctDNA as a tool for measuring minimal residual disease (MRD). Differences in baseline in ctDNA for STS in racial minorities have been poorly studied. To identify potential racial differences in the efficacy of this tool, this study compares the quantitative values of baseline ctDNA between non-Hispanic white (NHW) and Hispanic (H) patients with soft tissue sarcoma (STS). Methods: The medical records of 33 STS patients who had ctDNA analysis from Natera™ were examined retrospectively at Dignity Health Cancer Institute.There were 19 H patients and 14 NHW patients in the group. All Black (B), Asian (A), and Other (O) racial groups were excluded due to lower numbers. GraphPad Prism software was used to examine the baseline ctDNA levels. Using continuous measures for statistical analysis, we conducted descriptive statistics and determined the mean, standard deviation, and median ctDNA levels for each group. The ctDNA levels were compared between groups using a two-tailed t-test with a significance level of p < 0.05. Results: The average ctDNA levels were 416.675 (standard deviation = 1349.394) in NHW and 300.305 (standard deviation = 1000.543) in H. The median levels were 0 for both groups. The statistical analysis showed that there was no significant differences in the baseline ctDNA levels between the two groups (p = 0.73). Furthermore, the gender distribution among NHW and Hs in the cohort was comparable, with a p-value of 1.00. Conclusions: This study establishes that there is no substantial differences in baseline levels of ctDNA between H and NHW patients with STS. These findings indicate that ctDNA levels in these populations can be equally utilized for diagnostic and monitoring reasons in clinical settings. Nevertheless, to gain a comprehensive understanding of the racial disparities in ctDNA utility and its implications in customized treatment for STS, it is necessary to conduct more extensive research with larger sample sizes and incorporate additional variables.

e23526 Background: Racial, ethnic, and socioeconomic factors have been implicated in the variability of survival rates among soft tissue sarcoma (STS). These disparities are multifactorial and may reflect differences in disease biology, access to care, treatment responses, and others. In situations where different racial groups have equitable access to healthcare, healthcare disparities can decrease, and survival gaps can narrow. Differences in survival in STS in racial minorities have been poorly studied. Recognizing the potential impact of such disparities, our study thereby contributes to the ongoing discourse on healthcare equity in STS outcomes. Methods: We conducted a retrospective analysis of 30 STS patients, stratifying them into Hispanic (H) and non-Hispanic white (NHW) groups at Dignity Health Cancer Institute in Phoenix, Arizona. The Mann-Whitney U test was chosen to compare survival distributions, given the non-normal distribution of our sample. Survival analysis was performed using the Kaplan-Meier method, and the log-rank test was applied to determine statistical significance. All analyses were executed in GraphPad Prism software. Results: Our cohort comprised 13 (43%) NHW and 17 (57%) H patients. The mean ages were 57.2 years for NHW and 48.9 years for H, with a balanced gender distribution across groups. The most common subtypes of STS in NHW were liposarcoma (n = 3, 23.1%), and spindle cell carcinoma (n = 2,15.4%). Comparatively, the most common subtypes of STS in H were liposarcoma (n = 5, 29.4%) and leiomyosarcoma (n = 3, 17.6%). All patients were diagnosed with Stage 4 STS. Treatment modalities differed marginally, with NHW patients undergoing more surgical interventions, while H patients were more frequently administered chemotherapy. Median overall survival from the start of first-line therapy was 412 days for NHW and 500 days for H patients. Despite the longer median overall survival observed in Hispanics, the intergroup difference did not reach statistical significance (P = 0.68). Conclusions: The similar survival times between H and NHW STS patients at our institution may hint at an equitable provision of care across racial demographics in a relatively controlled single-center experience. However, the trend of extended survival in the Hispanic group, while not statistically confirmed, raises questions that merit further inquiry. This study serves as a preliminary exploration into racial disparities in STS, advocating for larger-scale research with more diverse patient populations. Further studies are essential to understand these findings and identify and optimize factors contributing to narrowing the survival gap in minorities, with the goal of enhancing STS prognosis for all racial groups.