Citations

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.

Abstract Aims The viability of cardiac resynchronization therapy (CRT) in inotrope-dependent heart failure (HF) has been a matter of debate. Methods and results We searched Medline, EMBASE, Scopus, and the Cochrane Library until 31 December 2022. Studies were included if (i) HF patients required inotropic support at CRT implantation; (ii) patients were ≥18 years old; and (iii) they provided a clear definition of ‘inotrope dependence’ or ‘inability to wean’. A meta-analysis was performed in R (Version 3.5.1). Nineteen studies comprising 386 inotrope-dependent HF patients who received CRT (mean age 64.4 years, 76.9% male) were included. A large majority survived until discharge at 91.1% [95% confidence interval (CI): 81.2% to 97.6%], 89.3% were weaned off inotropes (95% CI: 77.6% to 97.0%), and mean discharge time post-CRT was 7.8 days (95% CI: 3.9 to 11.7). After 1 year of follow-up, 69.7% survived (95% CI: 58.4% to 79.8%). During follow-up, the mean number of HF hospitalizations was reduced by 1.87 (95% CI: 1.04 to 2.70, P &lt; 0.00001). Post-CRT mean QRS duration was reduced by 29.0 ms (95% CI: −41.3 to 16.7, P &lt; 0.00001), and mean left ventricular ejection fraction increased by 4.8% (95% CI: 3.1% to 6.6%, P &lt; 0.00001). The mean New York Heart Association (NYHA) class post-CRT was 2.7 (95% CI: 2.5 to 3.0), with a pronounced reduction of individuals in NYHA IV (risk ratio = 0.27, 95% CI: 0.18 to 0.41, P &lt; 0.00001). On univariate analysis, there was a higher prevalence of males (85.7% vs. 40%), a history of left bundle branch block (71.4% vs. 30%), and more pronounced left ventricular end-diastolic dilation (274.3 ± 7.2 vs. 225.9 ± 6.1 mL). Conclusions CRT appears to be a viable option for inotrope-dependent HF, with some of these patients seeming more likely to respond.

Background: Many cardiac implantable devices have the capability of monitoring the volume status in patients with heart failure by tracking the intra-thoracic impedance changes over time measured by OptiVol fluid index. Objective: The aim of this study is to evaluate the association between the intra-thoracic impedance measured by OptiVol fluid index and the onset of tachyarrhythmias. Methods: We searched Medline and EMBASE databases through January 2021 looking for studies evaluating intra-thoracic impedance measured by OptiVol with either ventricular tachycardia/ventricular fibrillation (VT/VF) or atrial tachycardia/atrial fibrillation (AT/AF). After extracting the data from each study, we calculated the odds ratio with 95% confidence intervals using RevMan 5 software. Results: Ten studies met our inclusion criteria with a total of 118,504 patients were included in our analysis. Seven studies measured VT/VF included 94,816 patients and 5 studies measured AT/AF included 23,688 patients. Two studies measured both AT/AF and VT/VF. The odds ratio for developing VT/VF with OptiVol fluid index crossing a threshold of 60 Ω-days was 1.55 (95% CI 1.35, 1.78) (P<0.00001) and for developing AT/AF was 1.79 (95% CI 1.43, 2.24) (P<0.00001) {Figure1} Conclusion: The decrease in intra-thoracic impedance measured by OptiVol fluid index threshold crossing of 60 Ω-days is associated with higher risk for developing new onset AT/AF and VT/VF. Key Words: intra-thoracic impedance; OptiVol; tachyarrhythmia Figure1: Forest Plot for risk of developing VT/VF Figure: Forest Plot for risk of developing AT/AF

Introduction: Remote monitoring using implantable cardioverter-defibrillators (ICDs) or cardiac resynchronization therapy defibrillator (CRT-D) can be used as an adjunctive diagnostic tool to traditional hospital and clinic visits to monitor the volume status of patients with heart failure (HF). Methods: We searched PubMed, Cochrane Library, and ClinicalTrials.gov (inception through February 4th, 2021) for randomized controlled trials (RCTs) evaluating ICDs/CRT-D remote monitoring versus standard of care in patients with HF. Of 642 articles retrieved after removing duplicate items, we included 11 RCTs encompassing 5,965 patients. Absolute risk difference (ARD) with 95% credible interval (CrI) was estimated. Pooled (posterior) risk difference was computed using Bayesian hierarchical methods, random effects model and weakly informative prior. Results: The ARD for mortality was centered at -0.01 (95%CrI: -0.03; 0.01, Tau: 0.02), with 82% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0. The ARD for cardiovascular mortality was centered at -0.03 (95%CrI: -0.11; 0.05, Tau: 0.10), with 84% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0. The ARD for HF admissions was centered at -0.00 (95%CrI: -0.07; 0.06, Tau: 0.08), with 57% probability of ARD of ICD/CRT-D remote monitoring with respect to control being less than 0 [Figure]. Conclusions: This meta-analysis suggests that ICD/CRT-D remote monitoring in patients with HF is associated with a higher probability of reduced all-cause mortality, and cardiovascular mortality compared with standard care. However, ICD-CRT/D remote monitoring was associated with minimal probability of difference in HF hospitalizations.

Abstract Aims ECG abnormalities are often the first signs of arrhythmogenic right ventricular cardiomyopathy (ARVC) and we hypothesized that an artificial intelligence (AI)-enhanced ECG could help identify patients with ARVC and serve as a valuable disease-detection tool. Methods and results We created a convolutional neural network to detect ARVC using a 12-lead ECG. All patients with ARVC who met the 2010 task force criteria and had disease-causative genetic variants were included. All case ECGs were randomly assigned in an 8:1:1 ratio into training, validation, and testing groups. The case ECGs were age- and sex-matched with control ECGs at our institution in a 1:100 ratio. Seventy-seven patients (51% male; mean age 47.2 ± 19.9), including 56 patients with PKP2, 7 with DSG2, 6 with DSC2, 6 with DSP, and 2 with JUP were included. The model was trained using 61 case ECGs and 5009 control ECGs; validated with 7 case ECGs and 678 control ECGs and tested in 22 case ECGs and 1256 control ECGs. The sensitivity, specificity, positive and negative predictive values of the model were 77.3, 62.9, 3.32, and 99.4%, respectively. The area under the curve for rhythm ECG and median beat ECG was 0.75 and 0.76, respectively. Conclusion Our study found that the model performed well in excluding ARVC and supports the concept that the AI ECG can serve as a biomarker for ARVC if a larger cohort were available for network training. A multicentre study including patients with ARVC from other centres would be the next step in refining, testing, and validating this algorithm.

Abstract Cerebrospinal fluid (CSF) is emerging as an abundant source of candidate biomarkers, including proteins, for gliomas. Longitudinal CSF access may enable insights into treatment response and resistance. To that end, we have established a growing biobank of CSF samples, many of which have been obtained longitudinally via CSF access devices, such as Ommaya reservoirs, through our ongoing biomarker discovery clinical trials (NCT04692337, 04692324). We have previously presented our initial data demonstrating a conserved proteomic signature of HGG that decreased with resection and increased with recurrence. Since then, samples have been acquired throughout individual patients’ treatment course toward our goal of identifying CSF-derived biomarkers of treatment response. CSF samples obtained prior to, during, and throughout treatment underwent global proteomics analysis via the SomaScan® assay by Somalogic. Fold-changes for each protein were calculated between different timepoints and ranked for each comparison of interest. Treatment with pembrolizumab alone results in increased IL-23 (5.01x), IL-12 (4.25x), lymphocyte activation gene 3 protein (LAG3) (3.26x), and granzyme A (2.93x), suggesting potential for combination with multiple agents. Chemoradiation, with or without pembrolizumab, consistently downregulated NAD kinase, acetyl CoA transferase, and Bcl-2 and upregulated proteins related to neuronal signaling, such as neurexins and cerebellins, in addition to LAG-3, suggesting potential for synergy between chemoradiation and anti-LAG-3 antibodies currently in clinical trials. Interestingly, pembrolizumab and chemoradiation decreased MMP-12 and MMP-9 abundance as compared to chemoradiation alone (0.25x vs. 18.5x; 0.54x vs. 4.99x). Finally, bevacizumab treatment consistently increased VEGF-A (7.32x), VEGF-B (2.21x), and MMP-3 (2.99x) abundance, while decreasing the presence of our previously reported plasma-associated protein signature in CSF. In conclusion, the global CSF proteome can be longitudinally accessed to evaluate response to standard-of-care and experimental therapies. Further studies are ongoing to identify signatures of therapeutic resistance and to assess the impact of novel immunotherapeutic combinations on the CSF proteome.