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Abstract Background There is evidence that SARS-CoV2 infection can increase the risk of herpes zoster (HZ) in the general population. However, the risk in patients with inflammatory bowel disease (IBD) is not known. Methods The TriNetX database was utilized to conduct a retrospective cohort study in patients with IBD after SARS-CoV2 infection and patients without a SARS-CoV2 infection (IBD control cohort). The primary outcome was to evaluate the risk of HZ between the 2 cohorts. One-to-one (1:1) propensity score matching was performed for demographic parameters, HZ risk factors and IBD medications between the 2 cohorts. Adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated. Results After propensity score matching, patients with IBD with a SARS-CoV2 infection were at an increased risk for HZ (aOR, 2.16; 95% CI, 1.53-3.04) compared with IBD control cohort in the pre-COVID-19 vaccine era. There was no difference in the risk (aOR, 0.87; 95% CI, 0.44-1.75) of a composite outcome of HZ complications (hospitalization, post-herpetic neuralgia, and neurologic complications) between the 2 cohorts. The IBD SARS-CoV2 cohort was also at an increased risk for HZ (aOR, 3.04; 95% CI, 1.48-6.24) compared with IBD control cohort in the postvaccine era. However, the risk of HZ in the postvaccine era was decreased (aOR, 0.45; 95% CI, 0.27-0.76) compared with IBD SARS-CoV2 cohort in the prevaccine era. Conclusions Our study showed that SARS-CoV2 infection is associated with an increased risk of HZ in patients with IBD.

Introduction and Aim: A growing body of evidence suggests a negative impact of obesity on the disease activity of inflammatory bowel disease (IBD). The primary aim of the study was to evaluate disease outcomes of IBD in patients after bariatric surgery (BS). Methods: Patients with IBD and morbid obesity who underwent BS were compared with patients with IBD and morbid obesity without BS in a retrospective, propensity-score matched cohort study using TriNetX, a multi-institutional database. The primary aim was to assess the 2-year risk of a composite of disease-related complications, which included intravenous steroid use or IBD-related surgery. Risk was expressed as adjusted odds ratios (aOR) with 95% confidence intervals (CI). Results: In all, 482 patients (3.4%) with IBD and morbid obesity underwent BS (mean age 46.9±11.2 y old, mean BMI 42.1±7.72 kg/m2, Crohn’s disease 60%). After propensity-score matching, the BS cohort had a lower risk (aOR 0.31, 95% CI 0.17-0.56) of a composite of IBD-related complications compared with the control cohort. After propensity-score matching, the BS cohort with sleeve gastrectomy had a decreased risk (aOR 0.45, 95% CI 0.31-0.66) of a composite of IBD-related complications. There was no difference in the risk (aOR 0.77, 95% CI 0.45–1.31) of a composite of IBD-related complications between the BS cohort with Roux-en-Y gastric bypass (RYGB) compared with the control cohort. Conclusion: Sleeve gastrectomy but not Roux-en-Y gastric bypass is associated with improved disease-specific outcomes in patients with IBD and morbid obesity.

SummaryBackgroundThere is limited real‐world data on comparative effectiveness of different biologic or small molecule agents as second‐line therapies in patients with ulcerative colitis (UC) with prior exposure to a tumour necrosis factor inhibitor (TNFi).MethodsWe conducted a retrospective cohort study using TriNetX, a multi‐institutional database to assess the efficacy of tofacitinib, vedolizumab and ustekinumab in patients with ulcerative colitis (UC) with prior exposure to a TNFi. Failure of medical therapy was defined as a composite outcome of intravenous steroids or colectomy within 2 years. One‐to‐one propensity score matching was performed for demographics, disease extent, mean haemoglobin, C‐reactive protein, albumin and calprotectin, prior IBD medications and steroid use between cohorts.ResultsAmong 2141 patients with UC and prior exposure to TNFi, 348 (16.2%), 716 (33.4%) and 1077 (50.3%) were switched to tofacitinib, ustekinumab and vedolizumab, respectively. After propensity‐score matching, there was no difference in the composite outcome (aOR: 0.77, 95% CI: 0.55–1.07) but higher risk of colectomy (aOR: 2.69, 95% CI: 1.31–5.50) in the tofacitinib cohort than the vedolizumab cohort. There was no difference in the risk of composite outcome (aOR: 1.29, 95% CI: 0.89–1.86) but higher risk of colectomy (aOR: 2.63, 95% CI: 1.24–5.58) in the tofacitinib cohort than the ustekinumab cohort. The vedolizumab cohort had a higher risk of composite outcome (aOR: 1.67, 95% CI: 1.29–2.16) than the ustekinumab cohort.ConclusionUstekinumab might be the preferred second‐line therapy over tofacitinib and vedolizumab in patients with UC that were previously exposed to a TNFi.

Background Immune checkpoint inhibitors (ICIs) are now a first-line treatment option for patients with pleural mesothelioma with the recent approval of ipilimumab and nivolumab. Mesothelioma has a low tumor mutation burden and no robust predictors of survival with ICI. Since ICIs enable adaptive antitumor immune responses, we investigated T-cell receptor (TCR) associations with survival in participants from two clinical trials treated with ICI. Methods We included patients with pleural mesothelioma who were treated with nivolumab (NivoMes, NCT02497508) or nivolumab and ipilimumab (INITIATE, NCT03048474) after first-line therapy. TCR sequencing was performed with the ImmunoSEQ assay in 49 and 39 pretreatment and post-treatment patient peripheral blood mononuclear cell (PBMC) samples. These data were integrated with TCR sequences found in bulk RNAseq data by TRUST4 program in 45 and 35 pretreatment and post-treatment tumor biopsy samples and TCR sequences from over 600 healthy controls. The TCR sequences were clustered into groups of shared antigen specificity using GIANA. Associations of TCR clusters with overall survival were determined by cox proportional hazard analysis. Results We identified 4.2 million and 12 thousand complementarity-determining region 3 (CDR3) sequences from PBMCs and tumors, respectively, in patients treated with ICI. These CDR3 sequences were integrated with 2.1 million publically available CDR3 sequences from healthy controls and clustered. ICI-enhanced T-cell infiltration and expanded T cell diversity in tumors. Cases with TCR clones in the top tertile in the pretreatment tissue or in circulation had significantly better survival than the bottom two tertiles (p<0.04). Furthermore, a high number of shared TCR clones between pretreatment tissue and in circulation was associated with improved survival (p=0.01). To potentially select antitumor clusters, we filtered for clusters that were (1) not found in healthy controls, (2) recurrent in multiple patients with mesothelioma, and (3) more prevalent in post-treatment than pretreatment samples. The detection of two-specific TCR clusters provided significant survival benefit compared with detection of 1 cluster (HR<0.001, p=0.026) or the detection of no TCR clusters (HR=0.10, p=0.002). These two clusters were not found in bulk tissue RNA-seq data and have not been reported in public CDR3 databases. Conclusions We identified two unique TCR clusters that were associated with survival on treatment with ICI in patients with pleural mesothelioma. These clusters may enable approaches for antigen discovery and inform future targets for design of adoptive T cell therapies.

9069 Background: With the emergence of effective targeted-therapies for KRAS G12C, and the development of promising agents for KRAS G12V and G12D among others, the identity of unique KRAS mutations in non-small cell lung cancer (NSCLC) has become increasingly relevant. Acquired KRAS mutations are a known mechanism of resistance observed across driver mutation-positive (DM+) NSCLC. The incidence and diversity of these acquired alterations, and whether they differ from those observed in de novo KRAS-mutated NSCLC, is unknown. Methods: NSCLC molecular profiles were obtained using next-generation sequencing (Caris Life Sciences) with paired whole-transcriptomic sequencing (Illumina NovaSeq) and immunohistochemistry (Caris Life Sciences). Demographic data were abstracted from medical records. KRAS mutation diversity was defined for de novo KRAS-mutated ( KRASmt) NSCLC ( KRAS as only identified driver – KRASmt_dn) and DM+ NSCLC with acquired KRAS mutations (concurrent KRASmt with other known driver – KRASmt_acq). Fisher’s exact test was used to compare the distribution of unique KRAS mutations between the groups. Due to the unique biology of NSCLC with class II/III BRAF mutations, this subset was removed from the KRASmt_acq subgroup for the final analysis. Results: A total of 5932 KRASmt NSCLC samples were identified, among which 5879 were KRASmt_dn and 53 were KRASmt_acq (see table). The distribution of unique KRAS mutations was not significantly different between groups (p = 0.14). Within the KRASmt_dn group, KRAS G12C was most common (40%), followed by G12V (19%), G12D (14%), G12A (7%) and Q61H/G13C (4% each). In the KRASmt_acq group, KRAS G12C was most common (30%), followed by G12D (19%), G12V (17%), Q61H (11%), G12A (7%), and G13C (6%). The most common observed driver mutations in the KRASmt_acq group were EGFR (38%) and MET (30%). In the EGFR group, KRAS G12D (25%), Q61H/G12C (20% each), G12V/G13C (10% each), and G12F/A/R (5% each) were observed. In the MET group, KRAS G12C (25%), G12D/V/A (19% each), Q61H (12%) and G12S (6%) were seen. Among 7 patients with a documented history of smoking in the KRASmt_acq group, KRAS G12D and Q61H were most common (29% each), followed by G12V/F and G13C (14% each). Conclusions: While the distribution of unique KRAS mutations did not differ significantly between KRASmt_dn and KRASmt_acq groups, acquired KRAS mutations were seen across DM+ NSCLC subsets, among which the frequency of observed mutations appeared to vary. The functional and immunological significance of these mutations, and their impact on clinical outcomes, warrants further investigation. [Table: see text]

9037 Background: The clinical outcomes for patients with NSCLC remain suboptimal despite recent advancements in anti-PD-1/PD-L1 immunotherapies. Thus, identification of rational combinations of novel immune checkpoint (IC) strategies is imperative. This study aimed to comprehensively characterize the expression of IC targets to inform drug development and design effective combinatorial strategies, to advance the search for optimized therapies for NSCLC. Methods: We analyzed the differential gene expression of IC targets in 537 primary lung adenocarcinoma (LUAD) samples and 59 normal lung tissue samples pre-immunotherapy receipt using RNA-sequencing data from The Cancer Genome Atlas. Gene expression of IC-targets including PDCD1 (PD-1), CD274 (PD-L1), CTLA4, TIGIT, LAG3, HAVCR2 (TIM-3), VSIR (VISTA), ICOS, CD276 (B7-H3), BTLA, IDO1, KLRD1 (CD94/NKG2A), NT5E (CD73), TNFRSF4 (OX-40), TNFRSF18 (GITR), and TNFRSF9 (4-1BB) were obtained. Differential gene expression was determined intra-tumorally by comparison of transcripts per million and inter-tumorally using the DESeq2 algorithm. Log2 fold change >0.5 and false discovery rate adjusted P<0.05 were used as criteria for significant differential expression. Hierarchical clustering was used to identify subsets of tumors with similar profiles of IC-targetable gene expression. Results: Tumors showed significantly increased expression of TNFRSF18 (GITR), NT5E (CD73), TNFRSF9 (4-1BB), LAG3, TIGIT, CTLA4, PD-1, BTLA, B7-H3, and OX-40 (Table 1). On the other hand, tumors exhibited significant downregulation of CD274 (PD-L1), HAVCR2 (TIM-3), ICOS, KLRD1 (CD94/NKG2A), and VSIR (VISTA). Hierarchical clustering revealed recurrent patterns of IC gene overexpression which were characterized by: 1) IDO1-hi, 2) CD276-mid + TNFRSF18-mid, 3) VSIR-hi, 4) CD276-hi, 5) NT5E-hi, and 6) CD276-mid + NT5E-mid. Interestingly, patterns of IC gene expression distinguish tumors from controls. Of note, high VSIR expression was specific to normal tissue rather than tumors. Conclusions: Our study identified many IC targetable genes that were significantly overexpressed in tumors. However, subsets of tumors showed distinct and segregable combinations of overexpressed IC genes. These results suggest heterogeneous mechanisms of immune evasion in NSCLC, which may explain suboptimal outcomes with anti-PD-1/PD-L1 based strategies in this patient population. Our findings emphasize the importance of biomarker-guided approaches for the optimal selection of ICs and the development of rational combinatorial immunotherapies in NSCLC.

e16259 Background: Patients with KRAS mutant (mt) pancreatic ductal adenocarcinoma (PADC) have worse survival outcomes compared to KRAS wild-type (wt) PDAC patients. However, the prognostic implication of the KRAS mutation subtype (e.g. G12D, G12R, G12V and Q61) remains unclear. Furthermore, the clinical and molecular characteristics associated with these mutation subtypes remain not well defined. Methods: A retrospective review was conducted on patients with KRAS PDAC who underwent Next Generation Sequencing at Mayo Clinic between December 1, 2018 and December 1, 2021. Their somatic mutations, RNA expression, demographics, disease characteristics, therapies offered, and clinical outcomes were collected via chart review. Results on KRAS wt were reported previously; KRAS mt are reported here. Results: A total of 158 KRAS mt patients (at diagnosis: average age 63.8 years, 57% male, 88 (56%) Stage IV) were included. 10% of patients had KRAS Q61 mutation, 14% G12R, 30% G12V and 46% G12D. G12R had a longer overall survival (OS) compared to the others (median 24.8 vs 17.5 months, unadjusted hazard ratio (HR) 0.68, p=0.05), particularly in patients with localized disease at diagnosis (median 35.4 vs 28.3 months, p=0.08). Among patients with metastatic disease at diagnosis, G12V had the lowest OS (median 9.8 vs 12.4 months, unadjusted HR 1.8, p=0.02). 137 (87%) patients had at least one pathogenic somatic variant, with statistically significant differences in SMAD4, TP53, MYC, RB1, KMT2D, RBM10, RNF43, KDM6A, KMT2C, RBM10, LRP1B, PIK3CA, and SMARC among the KRAS mt subtypes. 82 (52%) patients had at least one RNA expression variant, with statistically significant differences in CCND1, CCNE1, HRAS, MET, EGFR, and ERB3 among KRAS mt subtypes. Between these subtypes, there were no statistically significant differences in TMB value, location of PDAC or subsequent metastasis, lines of treatment (average 2.3), age at diagnosis, or gender. Conclusions: KRAS mt subtypes may confer different PDAC phenotypes. In our cohort, G12R is associated with improved OS while G12V correlates with worse prognosis in de novo metastatic disease. Additionally, there are differences in genomic variations and RNA expression between the KRAS mt subtypes. To further examine this, transcriptomic analysis is underway. [Table: see text]

Abstract Introduction The COVID-19 pandemic caused by SARS-CoV-2 continues to result in significant morbidity and mortality on a global scale. Prior studies have examined the effectiveness of non-COVID vaccines in setting of sleep disturbances. This study evaluated data from a large national database to examine the relationship between the risk of breakthrough COVID-19 infections in patients with certain sleep related disturbances. Methods Real-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co-morbid conditions. Results Of 24,720 patients identified as having a sleep disturbance relating to insomnia, circadian rhythm disorder, or inadequate sleep, 815 (3.2%) were found to have a developed a BTI. There was a significant increased risk of BTI noted between the sleep disorder and control cohorts (adjusted odds ratio (aOR) of 1.40, 95% confidence interval (CI) of 1.23-1.58). Subgroup analysis showed an elevated risk for BTI receiving two doses (aOR 1.53, 95% CI 1.24 – 1.89) versus three doses (aOR 1.45, 95% CI 1.24 – 1.69). Patients with the sleep disturbance were not found to be at an increased risk of hospitalization, intubation, death, or composite outcome of death and intubation. Conclusion The presence of having a diagnosis of insomnia, circadian rhythm disorder, or inadequate sleep was associated with increased risk of COVID-19 breakthrough infection. Support (if any)

Summary Genome driven precision oncology has transformed the landscape of multiple cancers. However, access barriers exist. A recent study exemplified a direct-to-patient outreach program via social media through the implementation of a global program that offered free tumor genomic testing with a focus on rare cancers. See related article by Doe-Tetteh et al., p. 2445