Citations

Introduction: Increasing evidence unravels the role of loneliness and social connection in cardiovascular diseases potentially mediating accelerated biological aging. The present study aims to explore the association between social connection and biological aging as determinate by artificial intelligence-enabled electrocardiography (ECG). Methods: This is an observational retrospective cohort of adults aged ≥18 seen at Mayo Clinic from 2019-2022 who completed the social determinants of health questionnaire and had a 12-lead ECG within one year of completing the questionnaire. Five questions were asked to understand each patient’s social connection . The answers were scored to assess their level of social connection from socially isolated (score of 0) to socially connected (score of 4). The biological age was predicted from ECGs using the previously developed convolutional neural network (AI-ECG age). Delta age (Δage) was defined as AI-ECG age minus chronological age, where positive values reflect an older than expected age. Results: We included 280,323 subjects (chronological age 59.7±16.4 years, 51% female). The average AI-ECG age was 59.5±13.5 year. Better social connection status correlated with lower delta age (β=-0.33 (95%CI, -0.38 and -0.28, p<0.001, adjusted to chronological age and sex). Conversely, individuals reporting the least social connection were an average of 2 years older than expected whereas those with the most social connection were 2 years younger than expected by AI-ECG (Figure 1). Conclusions: Social connection is strongly associated with slower biological aging compared to chronological aging, independent of the conventional cardiovascular risk factors. This observation underscores the need to address social connection as a healthcare determinant.

Introduction: The physiological changes associated with aging have deleterious effects on cardiovascular function. In addition, increasing evidence showed the effect of exercise on improving cardiovascular health and reducing the aging process. The present study sought to demonstrate the association between exercise and biological age, estimated by our previously reported method using artificial intelligence-enabled electrocardiography (ECG). Methods: This retrospective observational study enrolled adults aged ≥18 years who have been evaluated at Mayo Clinic between 2019-2022 and completed the exercise questionnaire. The total time spent in moderate to strenuous exercise was calculated by multiplying the number of days engaging in exercise per week by the average minutes per day. The biological age was determined by applying our previously developed convolutional neural network model on the 12-lead ECG records (AI-ECG). The ECG records were within one year of subjects’ visits (in case of multiple visits, the closest one to the questionnaire was chosen). Positive Age-Gap (AI-ECG minus chronological age) reflects a person identified as being older by AI-ECG compared to his/her chronological age. Results: A total of 268,002 subjects (51% female) were recruited (mean age 59.7±16.4 years). Of those, 25.7% were not engaged in any exercise. The median day of engaging in exercise was 3 (Interquartile range, 2,5) per week, and the average time of exercising was 31.3±30 minutes/day. Age-Gap diminished progressively with increased duration of moderate to strenuous exercise (Figure 1). Linear regression analysis revealed exercise is an independent predictor of Age-Gap, (β= -0.043, 95%CI, -0.045 and -0.041, p<0.001). Conclusions: Engaging in moderate to strenuous exercise is associated with slower biological aging relative to chronological age as determined by AI-enabled ECG.

Introduction: Recent studies have indicated high rates of future major adverse cardiovascular events in patients with Takotsubo cardiomyopathy (TTC). This study sought to evaluate the prognostic value of our institutional artificial intelligence-augmented electrocardiography (AI-ECG) algorithms in patients with TTC. Methods: This study enrolled consecutive patients in the prospective and observational Mayo Clinic Takotsubo syndrome registry. TTC was diagnosed according to the Mayo Clinic diagnostic. Our clinic’s previously developed and validated AI-ECG algorithms were used for detection of ECG-Age, probability of low ejection fraction, and probability of atrial fibrillation.Multivariable models were constructed to evaluate the association of AI-ECG and other clinical characteristics with major adverse cardiac events (MACE), defined as cardiac death, recurrence of TTC, nonfatal myocardial infarction, hospitalization for congestive heart failure, and stroke. Results: In the final analysis, 305 patients were studied over a median follow-up of 4.8 years. Patients with MACE were more likely to be older, have history of hypertension and chronic heart failure (CHF), worse renal function as well as having high-risk AI-ECG findings compared to those without. In the multivariate Cox proportional hazard analysis, the presence of 3 or 4 high-risk findings detected by AI-ECG, remained a significant predictor of MACE in the patients with TTC after adjusted by conventional risk factors (hazard ratio (HR) 2.17, 95% CI [1.33, 3.53], P=0.002; HR 2.44, 95% CI [1.38, 4.29], P=0.002, respectively). Conclusions: The combined use of developed AI-ECG algorithms derived from a single 12-lead ECG might identify ECG correlates of underlying non-transient myocardial dysfunction and detect subtle underlying patterns associated with worse outcomes in patients with TTC. This approach might be beneficial for stratifying high-risk patients with TTC.

Introduction: Prior AF screening trials demonstrated low yield, highlighting the need for more targeted approaches. An AI algorithm was developed to identify ECG signatures of AF risk during normal sinus rhythm, which has been validated in diverse external populations. Hypothesis: An AI-guided, targeted screening approach could improve the diagnosis of AF. Methods We conducted a pragmatic decentralized trial to prospectively recruit patients with stroke risk factors but no prior AF. The AI algorithm was applied to the ECGs performed in routine practice and divided patients into high- or low-risk groups. The primary endpoint was AF lasting ≥ 30 seconds on a subsequent 30-day continuous cardiac rhythm monitor. In a secondary analysis, trial participants were 1:1 propensity score-matched to real-world controls derived from the eligible but unenrolled population. Results A total of 1,003 patients from 40 U.S. states completed the study, with a mean age of 74 [SD 8.8] years. Over a mean of 22.3 days of continuous monitoring, AF was detected in 6 (1.6%) of low-risk patients and 48 (7.6%) of high-risk patients (OR 4.98 [2.11-11.75], p<0.001). Compared to usual care, AI-guided AF screening was associated with increased detection of AF (high-risk group: 4.2% vs. 11.1%, p<0.001; low-risk group: 0.9% vs. 2.4%, p=0.12) over a median follow-up of 10 months. Conclusions A prospective pragmatic study found that the AI a can risk-stratify a relatively uniform population (i.e., older adults at risk for stroke) to detect AF during short-term cardiac monitoring. Furthermore, when compared with usual care, AI-guided cardiac monitoring was associated with increased AF detection. As such, an AI-guided AF screening approach, leveraging existing EHR data and infrastructure, could be effective, patient-centered, and massively scalable, thereby reducing unnecessary health utilization and diagnosis-related anxiety (Clinicaltrials.gov: NCT04208971).

e23508 Background: Activating mutations in KIT are found in most pts with GIST. First-line imatinib provides initial clinical benefit in advanced disease, but prognosis is poor for pts whose tumors progress, despite 3 other approved tyrosine kinase inhibitors (TKIs). Resistance is typically driven by secondary KIT mutations in the ATP-binding pocket (exons 13/14) or activation loop (exons 17/18). No approved drug has potent activity against both classes of resistance mutations, and many pts have polyclonal resistance after multiple lines of therapy. THE-630 is an investigational pan-variant KIT inhibitor. Based on preclinical models, an average plasma concentration (Cav) of 100 nM is predicted to have potent activity against all major classes of KIT-activating and resistance mutations. Here, we report initial data from a first-in-human study in pts with advanced GIST (NCT05160168). Methods: This ph 1/2 study is assessing the safety (including dose-limiting toxicities [DLTs] and recommended ph 2 dose [RP2D]), pharmacokinetics (PK), and antitumor activity of THE-630. Pts enrolled in the ph 1 portion were ≥18 y, had unresectable or metastatic GIST previously treated with imatinib and ≥1 additional TKI, and had ECOG performance status ≤2. Pts received THE-630 (QD; 28-day cycles) in a 3+3 dose-escalation design. PK was assessed on days 1 and 15 in cycle 1, antitumor activity was assessed by modified RECIST 1.1, and circulating tumor DNA (ctDNA) was assessed using Guardant360. Results: As of 13 Jan 2023, 19 pts had been treated in the ph 1 portion at THE-630 daily doses of 3 mg (n = 3), 4 mg (n = 7), 6 mg (n = 3), 9 mg (n = 3), and 12 mg (n = 3). Median age was 57 y (range 39–72); 13 pts had ≥4 prior TKIs. Median treatment duration was 55 days (range 1–252). PK analysis shows approximately dose-proportional increase in systemic exposure across doses tested. Mean steady-state Cav at 12 mg was 47 nM. There was 1 DLT at 4 mg (grade 5 myocardial infarction in a pt with 8 prior TKIs and hyperlipidemia where relationship to THE-630 could not be incontrovertibly ruled out). No other DLTs or related serious adverse events have occurred; 13 pts had treatment-related AEs (TRAEs), 91% of which were grade 1–2. The most common TRAEs were fatigue (n = 4), dry mouth (n = 3), anemia, ALT increase, AST increase, diarrhea, dyspepsia, dyspnea, and hypertension (n = 2 each). Reductions in select KIT-mutant allele fractions in ctDNA were observed, consistent with THE-630 levels achieved thus far. Stable disease (SD) was the best response in 1/7 pts at 4 mg, 1/3 pts at 6 mg, and 3/3 pts at 9 mg. Post data cut, SD was seen in 3/3 pts at 12 mg. Dose escalation continues to determine the RP2D. Conclusions: THE-630 had an acceptable initial safety profile, and escalation continues, as target exposure for pan-variant KIT activity is not yet reached. Reduction in KIT-mutant allele fractions in ctDNA and initial evidence of disease control were observed. Clinical trial information: NCT05160168 .

TPS11587 Background: Recurrent or metastatic dedifferentiated liposarcoma (DDLS) remains a difficult disease to treat. Available agents such as doxorubicin, eribulin, trabectedin, ifosfamide, dacarbazine, or gemcitabine-based regimens are associated with low response rates and only modest improvements in progression free or overall survival. The oncogene CDK4 is ubiquitously amplified in this disease and represents a rational therapeutic target. In single-arm phase 2 studies, treatment with selective CDK4 inhibitors resulted in clinical benefit (12-week progression-free survival (PFS) of 57% with palbociclib and 74% with abemaciclib). We hypothesize that treatment with abemaciclib will improve PFS compared to placebo in patients with recurrent or metastatic DDLS. Methods: This is a phase 3 randomized double-blind study of abemaciclib versus placebo. Eligible patients have recurrent or metastatic dedifferentiated liposarcoma (purely well-differentiated liposarcoma excluded), progression of disease by RECIST 1.1 in the 6 months prior to study entry, any number of prior systemic therapies, and adequate organ function and performance status. Patients are stratified by number of prior lines of therapy (0 vs 1 or more) and randomized 1:1 between abemaciclib 200 mg PO twice a day and matching placebo. Patients are followed with scans every 6 weeks (every 12w after 36w) and those with progression of disease on placebo may cross over to open label abemaciclib. The primary endpoint is PFS. Target enrollment is 108 evaluable patients which provides 80% power with two-sided 10% significance level to detect a hazard ratio of 0.6. Secondary endpoints include response rate, PFS and response rate after crossover, and overall survival. Archival tissue will be collected to explore potential biomarkers. As of Feb 1, 2023, 43 patients have been accrued at 9 participating centers. Clinical trial information: NCT04967521 .

11563 Background: Afami-cel is an autologous, T-cell receptor (TCR) T-cell therapy to treat human leukocyte antigen (HLA) A*02–eligible patients (pts) with advanced solid tumors positive for the cancer testis antigen melanoma-associated antigen A4 (MAGE-A4). The efficacy and safety of afami-cel in pretreated pts with advanced/metastatic synovial sarcoma or myxoid/round cell liposarcoma are being evaluated in the Phase 2, two-cohort, open-label, SPEARHEAD-1 (NCT04044768) trial. Here we report interim overall survival (OS) data in the pts with advanced synovial sarcoma in Cohort 1. Methods: Pts who were HLA-A*02 positive with advanced synovial sarcoma (with evidence of clinical/radiological progression) positive for MAGE-A4 received afami-cel after lymphodepleting chemotherapy containing fludarabine and cyclophosphamide. The primary endpoint was overall response rate per RECIST v1.1 by independent review. Secondary endpoints included OS and progression-free survival (PFS), estimated utilizing the Kaplan-Meier method. Results: As of August 29, 2022, 44 pts with synovial sarcoma received afami-cel (2.68–9.99×109 transduced T-cells) in Cohort 1. The median age was 41 years (range: 19–73 years), 50% of pts were female, 89% of pts were white, 96% of pts were typed as HLA-A*02:01P, and median tumor MAGE-A4 expression H-score was 257 (132–300). Pts were heavily pre-treated with a median of 3 prior lines of therapy (range: 1–12). The median follow-up time at the data cut-off was 20.8 months. Median PFS was 3.8 months (95% CI: 2.8, 5.8) and 4.1 months (95% CI: 2.8, 6.9) by independent and investigator review, respectively. Median OS by independent review was 15.4 months (95% CI: 10.9, not estimable) with 52% of pts censored at the data cut-off. The 12-month OS probability was 60% and 24-month OS probability was 40%. Twenty-one pts received additional therapy during long term follow up (systemic therapy, n = 20; radiation, n = 6; other, n = 4). In the 17 pts who had a RECIST response by independent review, the median OS was not reached, the 12-month OS probability was 90%, and 24-month OS probability was 60%. Conclusions: Pts with advanced synovial sarcoma treated with afami-cel in SPEARHEAD-1 had encouraging survival, especially those pts with a RECIST response. Clinical trial information: NCT04044768 .

11507 Background: Single agent or combination chemotherapy, typically Dox- or gemcitabine-based, are standard 1st- and 2nd-line therapies in patients (pts) with metastatic LMS; however, objective response rates (ORR), progression-free, and overall survival (PFS/OS) remain inadequate. Lurbi (PharmaMar S.A. / Jazz Pharmaceuticals) binds to DNA inhibiting transcription and inducing double strand breaks leading to apoptosis and delaying S/G2 progression. In a prior pilot study, we showed Lurbi+Dox is well-tolerated, with signs of activity, particularly in LMS. We designed this phase 1b to optimize dosing to lead into a randomized (1:1) phase 2 trial of Dox+/-Lurbi in anthracycline-naïve LMS. Herein we provide updated efficacy and tolerability data for this Phase 1b cohort. Methods: Pts > 18 yrs with locally advanced/metastatic, unresectable non-GIST STS (Phase 1b only) w/o prior anthracycline or Lurbi/trabectedin, ECOG PS < 3, RECIST 1.1 measurable, and normal organ function were eligible. The phase 1b followed a 3+3 design. Dosing included fixed Lurbi (3.2 mg/m2 d1) with two Dox dose levels (DL; DL1: 25 mg/m2 d1; DL2 25 mg/m2 d1+8). All pts received GCSF prophylaxis. Tumor assessments were every 2 cycles. DL1 was chosen as RP2D and the phase 2 trial began accrual in Aug 2022 aiming to enroll 50 LMS pts randomized 1:1 (stratified by uterine LMS [uLMS]] v. other LMS) with PFS as primary endpoint. Pts progressing on Dox are allowed to cross to Lurbi monotherapy. Results: 10 patients were enrolled in Phase 1b. Histologies included 5 LMS (4 uLMS) and 1 each of myxofibrosarcoma (myxFS), undifferentiated pleomorphic sarcoma (UPS), dedifferentiated liposarcoma (DDLPS), endometrial stromal sarcoma (ESS), and solitary fibrous tumor (SFT). With a median follow-up of 344 days, 5/10 pts remain on treatment with median PFS of 357 days (95%CI 175-ND). 6 pts demonstrated partial response (PR; 5 confirmed), 3 with stable disease (SD), and 1 with progressive disease (PD, Table). Median time to PR was 81 days (range 46-207). Duration of response was over 132 days in all responders with 3 still on treatment. Treatment-related AEs were typical for Dox/Lurbi, including nausea, fatigue, and reversible LFT elevations/cytopenias. Updated safety and response data will be provided at the time of the meeting. Conclusions: Lurbi+Dox is well-tolerated with efficacy in STS including 6/10 pts achieving PR, 9/10 pts staying on treatment for >120d, and 6/10 pts >200d. The randomized phase 2 study is currently enrolling. Clinical trial information: NCT05099666 . [Table: see text]

11505 Background: Potentiation of chemotherapy, without increased toxicity, to improve outcome is an area of interest. Preclinical and clinical evidence shows simultaneous utilization of antiangiogenic agents and chemotherapy have a synergistic effect. We hypothesized that the dual targeting of VEGF and c-MET pathways with cabozantinib (CAB) would result in clinical benefit for patients with soft tissue sarcoma (STS) when combined with temozolomide (TMZ), an alkylating agent. Utilization of CAB/TMZ is anticipated to produce a synergistic antitumor effect worthwhile to explore in STS. Methods: A multicenter phase II study of CAB/TMZ in patients with unresectable/metastatic leiomyosarcoma (LMS) and other STS was conducted by the Midwest Sarcoma Trials Partnership. Age ≥ 18, adequate performance status, organ function, measurable disease (RECIST 1.1), and 0-5 prior chemotherapy regimens were required. CAB 40 mg PO daily plus TMZ 150-200 mg/m2 PO 1-5 days were given in 28-day cycles until disease progression or unacceptable toxicity. Patients enrolled in 2 cohorts: 1. Uterine and non-uterine LMS 2. Other STS. The first 14 subjects to be enrolled in the study in either cohort served as a safety lead in. The primary endpoint was progression-free rate (PFR) at 12 weeks for cohort 1. Secondary endpoints include overall response rate (ORR), clinical benefit rate, median progression-free survival (PFS), overall survival, and safety and tolerability. The exploratory endpoint was to estimate the correlation of PFR and OS to expression levels of VEGF, amongst others. A Simon 2-stage design was used. Results: A total of 42 patients were enrolled in Cohort 1, and 30 in Cohort 2, across 5 sites. For Cohort 1, median age was 59 years (range 35-86), 85.7% were non-Hispanic, 73.8% were female, 61.9% had ECOG of 0. The PFR at 12 weeks was 45.9% (for 37 evaluable patient) with a median PFS of 6.4 months (95% CI 4.6-6.7). Five PR were observed for an ORR of 13.5%. For Cohort 2, median age was 63 (20-86), 83.3% were non-Hispanic, 36.7% were female, 53.3% had ECOG of 0. The PFR at 12 weeks was 50% (for 28 evaluable patients) with a median PFS of 3.2 months (95% CI 1.4-4.6). One PR was observed. Reported grade 3-4 adverse events attributed to one or both intervention drugs affecting ≥10% of patients (n = 70) included hypertension (10%), decreased neutrophils (18.7%), decreased platelets (31%). Conclusions: The combination therapy of CAB/TMZ in patients with unresectable or metastatic LMS exceeded its primary endpoint with a PFR at 12 weeks > 39%. The PFS of 6.4 months in Cohort 1 exceeds rates achieved with second line tyrosine kinase inhibitors (TKIs) and alkylators in LMS patients. Treatment was feasible and did not reveal any previously unreported toxicities. The combination with CAB with TMZ demonstrated meaningful clinical benefit and is worth further exploration in LMS. Clinical trial information: NCT04200443 .