Citations

AbstractThe coronavirus disease 2019 (COVID‐19) pandemic created unprecedented challenges for anesthesiologists both at work and home. This study examined whether the pandemic affected academic productivity and career satisfaction among anesthesiologists practicing in the United States during the early stages of the pandemic and whether these effects differed by gender. A survey was emailed to 25,473 members of the American Society of Anesthesiologists to learn about their experiences during the beginning of the pandemic. The survey directed respondents to rate their change in academic productivity, clinical care hours, scholarly and leadership opportunities, income, childcare duties, and household responsibilities during the first 5 months of the pandemic (March 1–July 31, 2020). The primary variable was gender, academic productivity was the primary outcome, and data were analyzed by multivariable proportional odds logistic regression models and correlations. Female anesthesiologists reported lower academic productivity and career satisfaction relative to male anesthesiologists during the study period. Career satisfaction positively correlated with academic productivity. Compared to male anesthesiologists, female anesthesiologists also had more household responsibilities before and during the pandemic. Being a female parent reduced academic productivity relative to that reported by nonparents of either gender. In conclusion, the early months of the COVID‐19 pandemic had a greater adverse professional impact on female anesthesiologists than on their male counterparts. Efforts to support and retain female anesthesiologists, particularly those early in their careers and those with children, are essential for the specialty to maintain its workforce and promote gender equity in promotion and leadership.

e22537 Background: Germline and tumor next-generation sequencing (NGS) are complementary tests whose benefit in capturing patients (pts) potentially eligible for precision therapies is maximized when the tests are paired, as qualifying pathogenic variants (PVs) are missed if either test was done in isolation (Lincoln et al. 2020). Germline NGS has the additional benefit of informing prevention through surveillance and cascade testing. We highlight the benefits of a universal approach to concurrent testing in a subset of the previously reported cohort of pan-cancer pts who underwent universal germline NGS (Samadder et al. 2020). Methods: Unselected pts with solid tumors underwent an 80+ gene germline panel and 315+ gene tumor panel. Variants in genes unique to the germline or tumor panels, including microsatellite instability (MSI) and tumor mutation burden (TMB), were also evaluated. Results: 104 pts [81.7% White, non-Hispanic, 71.2% male] with 23 cancer types [28% colorectal, 13% lung, 11% prostate, 49% other] were included. Five (5%) pts had no actionable tumor alterations or germline variants identified (Table). 18 pts (17%) had 19 pathogenic germline variants (PGVs) identified, 11 (58%) of which were detected on tumor NGS (Table). 92 pts had >1 tumor alteration identified, of which 12% were confirmed as PGVs (Table). Notably, tumor NGS revealed 81 pts (78%) pts with biomarkers that would could not have been identified with germline testing alone, such as variants in genes not on germline panel (80) or MSI-high (4), or TMB-high (21) status of the tumor. Conclusions: Germline and tumor NGS are complementary tests that often detect different actionable alterations. There is value in confirming both the presence and absence of somatic variants in the germline in order to make appropriate clinical recommendations for the patient and their family members. [Table: see text]

e21156 Background: Immunotherapy (IO) is one of the major treatments for patients with metastatic non-small cell lung cancer (mNSCLC). IO may be discontinued in patients for many reasons, the most common being progression of disease (POD). For those patients who discontinued IO for reasons other than POD, such as immune-related adverse event (irAE), there is limited data that compare progression-free survival (PFS) and overall survival (OS) when IO is continued vs. stopped. Methods: We conducted a retrospective study of all patients with mNSCLC (stage IV) treated with IO at our institution from 2011 to 2022. Patients who discontinued IO due to POD were excluded from the analysis. The clinical outcomes, including PFS, OS, and irAE were investigated among patients with no POD who stopped IO prior to 6 or 12 months (m) vs. those that continued IO > 6 or 12m. Results: The analysis at the 6m timepoint included 92 patients, 82.6% were white, 50% were male, 67.4% had adenocarcinoma, and 82.6% used tobacco. The most common site of metastasis was bone (28.3%), followed by CNS (20.7%). 51.2% of patients had received IO as the first line systemic therapy and 32.6% received it as their second. Pembrolizumab was the most used IO (84.78%). Among these patients, 25 discontinued IO before 6m, and 67 patients continued IO beyond 6m. irAE, of any grade, occurred in 44.0% vs 37.3% when comparing IO discontinued with IO continued group at 6m. Patients who continued treatment beyond 6m had a longer duration of PFS (22.8m vs 11.8m, p = 1.14E-04) with a significant increase in OS (34.5m vs 14.0m, p = 1.34E-07). The analysis at the 12m timepoint included 71 patients, 87.3% were white, 46.5% were male, 78.9% had adenocarcinoma, and 80.3% used tobacco. The most common site of metastasis was bone (29.9%), followed by CNS (22.5%). 62.0% of patients had received IO as the first line systemic therapy and 28.7% received it as their second. Pembrolizumab was the most used IO (87.3%). Among these patients, 30 discontinued IO before 12m, and 41 patients continued IO beyond 12m. irAE, of any grade, occurred in 36.7% vs 41.5% when comparing IO discontinued with IO continued group at 12m. Similarly, patients who continued treatment beyond 12m had a longer duration of PFS (28.4m vs 14.2m, p = 1.91E-06) with a significant increase in OS (39.9m vs 17.6m, p = 3.45E-09). Conclusions: We observed that patients with mNSCLC and no POD, who continued IO beyond 6m and 12m, experienced a significant increase in PFS and OS than those who discontinued IO, with more significant increases in those who continued IO past 12m. These findings need to be verified in a larger cohort.

e18883 Background: Women comprise more than 40% of the American workforce, with many women working at the time of a breast cancer diagnosis. Pre-diagnosis psychological distress is a rarely studied factor that may affect cancer survivors’ workforce participation and mental health status post treatment. In this 2-site prospective cohort study, we evaluated return to work (RTW) in breast cancer patients (pts) with and without reported pre-diagnosis stress. Methods: We enrolled 198 female pts at Mayo Clinic in Minnesota and Florida with newly diagnosed stage 0-III breast cancer who worked 35-plus hours/week at time of diagnosis. Pts were screened for eligibility at the intake visit. Eligible pts were emailed a baseline survey at the time of diagnosis, then a follow-up survey at 3 months. Surveys assessed demographics, work factors, treatment, and psychological distress per the validated Kessler Psychological Distress Scale (K6). Primary aims were to assess 1) the impact of pre-diagnosis psychological distress on RTW in pts with a breast cancer diagnosis and 2) the incidence of severe psychological distress (K6 ≥13) in those with and without delay in RTW. Wilcoxon rank sum tests were used to compare pts with and without pre-diagnosis stress at baseline and 3 months. Results: 189 and 142 pts took part in the baseline and 3-month surveys, respectively. Here, 40.7% of enrolled pts reported experiencing one or more major life stressors in the 18 months before diagnosis. At 3 months, 6 of the 75 pts who responded (8.0%) endorsed a delay in RTW after breast cancer diagnosis. Half of these pts (3/75) had reported a pre-diagnosis stressor, revealing no significant difference in time to RTW between the stressed and not-stressed groups. Median K6 at diagnosis in those with delay in RTW was 14 (range, 10-17), significantly higher than the median K6 of 9 in those without delay in RTW (range, 6-23; p = 0.026). 5/6 pts who reported delay in RTW had baseline or 3-month K6 ≥13. There was no significant difference in the number of pts with K6 ≥13 at baseline vs. 3 months (31.2% vs. 21.8%, p = 0.85). Overall, the pt population was well educated and well salaried. Conclusions: Pre-diagnosis psychological distress is prevalent, but it does not seem to be associated with delayed RTW in breast cancer pts; indeed, few pts reported a delay in RTW. Pts with delayed RTW after a breast cancer diagnosis had significantly higher median K6, generally ≥13. Thus, delay in RTW in breast cancer pts may be a surrogate marker of more serious psychological illness. Additional study in a socioeconomically diverse pt population is needed.

3527 Background: Advances in deep learning may improve the ability to evaluate and quantify pathological features in solid tumors to improve prediction of patient disease-free survival (DFS). We used an artificial intelligence (AI) algorithm to quantify morphological features in the tumor microenvironment of stage III colon cancers. Methods: We analyzed digitized stage III colon carcinomas (N = 402; 382 met QC) from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy that included all available tumors with dMMR and a randomly selected cohort of pMMR tumors (median follow-up 60 months) [NCCTG N0147; Alliance for Clinical Trials in Oncology]. Fifteen morphological features were extracted using the QuantCRC algorithm that segments images into carcinoma (low-grade, high-grade, signet ring cell), stroma (immature, mature, and inflammatory), mucin, tumor/stroma ratio, tumor budding/poorly differentiated clusters (TB/PDC), necrosis, smooth muscle, fat, and tumor-infiltrating lymphocytes (TILs) and tumor area (mucin, epithelium and TB/PDC). Analysis of AI-derived features with clinical variables, molecular alterations ( BRAF/KRAS), and DFS were examined using Kaplan-Meier methodology and multivariable Cox regression. Results: Among the 15 AI-derived morphological features, the following differed significantly between dMMR (n = 191) and pMMR (n = 189) whereby dMMR tumors had lower mature stroma, but higher inflammatory stroma and tumor, higher tumor grade and increased mucin, TB/PDCs, signet ring cells, and TILs (all p< 0.05). Among dMMR tumors, multivariable analysis revealed that tumor area [mucin, epithelium and TB/PDC] (HR adj 0.45, 95%CI (0.24, 0.84), p:0.01, [Q2/3 vs Q1]) and N stage were the only significant and independent prognostic variables. Among pMMR tumors, multivariable analysis identified that tumor budding/poorly differentiated clusters (TB/PDCs) (HR adj 0.20, 95%CI (0.06, 0.61), p:0.01, [Q1 vs Q4]) was the strongest prognostic variable and the only morphological feature that was significantly associated with DFS along with age, N stage and T stage. Conclusions: Using AI, we can extract and quantify distinct morphological features in tumor sections that differ between dMMR and pMMR and multivariately, can significantly and robustly enhance prognostication within each MMR group. Among pMMR tumors, tumor budding/poorly differentiated clusters was the strongest predictor of DFS. Support: NIH U10CA180821, U10CA180882, U24CA196171, R01 CA210509 (to FAS). Study NCCTG N0147 received funds from Sanofi https://acknowledgments.alliancefound.org . ClinicalTrials.gov Identifier: NCT00079274 Key words Artificial Intelligence; Tumor Microenvironment; Colonic Neoplasms; Disease-free survival.

Abstract Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.

Aortic stenosis (AS) is associated with hypofibrinolysis, but its mechanism is poorly understood. We investigated whether LDL cholesterol affects plasminogen activator inhibitor 1 (PAI-1) expression, which may contribute to hypofibrinolysis in AS. Stenotic valves were obtained from 75 severe AS patients during valve replacement to assess lipids accumulation, together with PAI-1 and nuclear factor-κB (NF-κB) expression. Five control valves from autopsy healthy individuals served as controls. The expression of PAI-1 in valve interstitial cells (VICs) after LDL stimulation was assessed at protein and mRNA levels. PAI-1 activity inhibitor (TM5275) and NF-κB inhibitor (BAY 11-7082) were used to suppress PAI-1 activity or NF-κB pathway. Clot lysis time (CLT) was performed to assess fibrinolytic capacity in VICs cultures. Solely AS valves showed PAI-1 expression, the amount of which was correlated with lipid accumulation and AS severity and co-expressed with NF-κB. In vitro VICs showed abundant PAI-1 expression. LDL stimulation increased PAI-1 levels in VICs supernatants and prolonged CLT. PAI-1 activity inhibition shortened CLT, while NF-κB inhibition decreased PAI-1 and SERPINE1 expression in VICs, its level in supernatants and shortened CLT. In severe AS, valvular PAI-1 overexpression driven by lipids accumulation contributes to hypofibrinolysis and AS severity.