Citations

Abstract Brain metabolism perturbation can contribute to traits and diseases. We conducted the first large-scale CSF and brain genome-wide association studies, which identified 219 independent associations (59.8% novel) for 144 CSF metabolites and 36 independent associations (55.6% novel) for 34 brain metabolites. Most of the novel signals (97.7% and 70.0% in CSF and brain) were tissue specific. We also integrated MWAS-FUSION approaches with Mendelian Randomization and colocalization to identify causal metabolites for 27 brain and human wellness phenotypes and identified eight metabolites to be causal for eight traits (11 relationships). Low mannose level was causal to bipolar disorder and as dietary supplement it may provide therapeutic benefits. Low galactosylglycerol level was found causal to Parkinson’s Disease (PD). Our study expanded the knowledge of MQTL in central nervous system, provided insights into human wellness, and successfully demonstrates the utility of combined statistical approaches to inform interventions.

Abstract A major hurdle to the application of precision oncology in pancreatic cancer is the lack of molecular stratification approaches and targeted therapy for defined molecular subtypes. In this work, we sought to gain further insight and identify molecular and epigenetic signatures of the Basal-like A pancreatic ductal adenocarcinoma (PDAC) subgroup that can be applied to clinical samples for patient stratification and/or therapy monitoring. We generated and integrated global gene expression and epigenome mapping data from patient-derived xenograft models to identify subtype-specific enhancer regions that were validated in patient-derived samples. In addition, complementary nascent transcription and chromatin topology (HiChIP) analyses revealed a Basal-like A subtype-specific transcribed enhancer program in PDAC characterized by enhancer RNA (eRNA) production that is associated with more frequent chromatin interactions and subtype-specific gene activation. Importantly, we successfully confirmed the validity of eRNA detection as a possible histologic approach for PDAC patient stratification by performing RNA-ISH analyses for subtype-specific eRNAs on pathologic tissue samples. Thus, this study provides proof-of-concept that subtype-specific epigenetic changes relevant for PDAC progression can be detected at a single-cell level in complex, heterogeneous, primary tumor material. Implications: Subtype-specific enhancer activity analysis via detection of eRNAs on a single-cell level in patient material can be used as a potential tool for treatment stratification.

11005 Background: Despite progress in the enrollment of underrepresented in medicine (UIM) individuals in medical schools, hematology/oncology (HO) remains one of the least diverse medical subspecialties. We evaluated current recruitment efforts and barriers to the inclusion of UIM individuals in HO fellowship programs. Methods: We conducted a national online survey of program directors (PDs) and associate PDs (reported in aggregate as PDs) of adult and pediatric HO fellowships. Each PD received a unique survey link via email and 4 email reminders over the 8-week study period. Interim results at 4-weeks are presented and summarized with descriptive statistics. Results: At a pre-defined interim time point of 4 weeks, 78 HO PDs participated (18% response rate) and 69 completed the survey (88% completion rate). Most self-identified as women (57%, n = 38) and White (55%, n = 37), were affiliated with an academic program (79%, n = 53), and led an adult HO fellowship (73%, n = 49). Most PDs reported under or no representation of UIM faculty in their divisions; 9% (n = 6) self-identified as UIM. PDs reported their HO fellowships matched a median of 3 UIM fellows over the last 5 years (IQR 2-5 over 5 years); 46% (n = 32) reported UIM recruitment was unchanged and 4% (n = 3) decreased during this period. About half of PDs (51%, n = 35), matched a UIM candidate in the 2023 match. Of the 21% (n = 14) of PDs whose programs had no UIM fellows, 0% matched a UIM applicant in the 2023 match. 52% (n = 36) of PDs endorsed an inability to match UIM applicants despite consistently ranking them highly. PDs perceive the top 3 barriers to UIM recruitment as: low number of UIM applicants (53%, n = 41), geographic program location (50%, n = 39), and lack of diverse faculty/fellows in their program (42%, n = 31). 10% (n = 7) also reported meeting resistance about DEI initiatives. While 53% (n = 41) of PDs believe fellow demographics should reflect the local population, 23% (n = 16) don’t know how to increase diversity and 11% (n = 8) do not believe their program’s diversity needs to increase. In answers to open ended questions, some PDs expressed disagreement with the definition of UIM and reported a perceived limited number of qualified UIM applicants. Almost all institutions provide DEI training (96%, n = 72) for faculty and most PDs believe it has improved recruitment and inclusion of diverse individuals (52% and 65%, respectively). Yet, 34% (n = 23) agree that UIM fellows in their program are treated differently because of their race/ethnicity and 22% (n = 15) agree that UIM fellows repress their identity or background to be respected by faculty, peers, and staff. Conclusions: Historically and currently excluded populations remain underrepresented in the HO workforce. PDs face multiple barriers to the recruitment of diverse fellows, including differing views on the definition of UIM and perception of the value of diversity in the physician workforce.

11536 Background: Ripretinib is a switch-control tyrosine kinase inhibitor approved for patients (pts) with gastrointestinal stromal tumor (GIST) who received prior treatment with ≥3 kinase inhibitors, including imatinib. Exploratory baseline circulating tumor DNA (ctDNA) next-generation sequencing (NGS) analysis from INTRIGUE showed pts with second-line advanced GIST with primary KIT exon 11 mutations and secondary resistance mutations exclusively in KIT exons 17/18 derived clinical benefit from ripretinib but not sunitinib (Bauer S et al. J Clin Oncol. 2023; Abs 397784). Outcomes in pts with advanced GIST with ctDNA not detected (ctDNA-ND) had not been evaluated. Here, we present exploratory data from INTRIGUE in pts who had baseline ctDNA-ND vs ctDNA detected (ctDNA-D). Methods: INTRIGUE is an open-label, phase 3 study that enrolled pts with advanced GIST who had disease progression on or intolerance to imatinib (NCT03673501). Pts were randomized 1:1 to ripretinib 150 mg once daily (QD) or sunitinib 50 mg QD (4 wks on/2 wks off) and stratified by mutation according to local pathology report. Baseline peripheral whole blood was analyzed by Guardant360, a 74-gene ctDNA NGS-based assay. Pts with ctDNA-D had ≥1 somatic alteration in the 74 genes analyzed. Results: Pts with ctDNA-ND (82/362, 22.7%) were younger (median: 55.5 vs 62.0 years) and had smaller sums of longest diameters of target lesions (median [range]: 57.6 [11–459] vs 108.8 [15–418] mm) vs ctDNA-D (280/362, 77.3%). Progression-free survival (PFS) was longer in pts with ctDNA-ND vs ctDNA-D and numerically higher with ripretinib vs sunitinib in pts with ctDNA-ND (Table). Pts with ctDNA-ND categorized as not having a KIT exon 9 mutation at randomization ( KIT exon 11, other KIT/PDGFRA, or KIT/PDGFRA wild-type; n = 71) had longer PFS with ripretinib vs sunitinib (median not estimable [NE] vs 11 months; HR = 0.56; 95% CI 0.28 to 1.12). Objective response rate (ORR) and overall survival (OS) were higher with ctDNA-ND vs ctDNA-D. Safety was similar between groups and consistent with the primary analysis. Conclusions: Pts with ctDNA-ND had better efficacy outcomes vs pts with ctDNA-D in both treatment arms; PFS was numerically higher with ripretinib vs sunitinib in pts with ctDNA-ND. Although little is known about the biology driving ctDNA in GIST, these data suggest pts may have improved outcomes and different treatment sensitivity based on ctDNA detectability. Clinical trial information: NCT03673501 . [Table: see text]

11524 Background: Ripretinib is a switch-control tyrosine kinase inhibitor approved for patients (pts) with gastrointestinal stromal tumor (GIST) who received prior treatment with ≥3 kinase inhibitors, including imatinib. Sunitinib is approved for advanced GIST after imatinib failure. In the first interim analysis (IA) for overall survival (OS) in the INTRIGUE trial, data were immature (OS event rate, 22.3%), and median OS was not reached in either arm for the KIT exon 11 intent-to-treat (ITT) and all-patient (AP) ITT populations (S Bauer, et al. J Clin Oncol. 2022). Additionally, ripretinib had a more favorable safety profile with fewer grade 3/4 treatment-emergent adverse events (TEAEs) than sunitinib. Here, we present the second IA of OS and updated safety from INTRIGUE. Methods: INTRIGUE is a global, open-label, phase 3 study that enrolled adult pts with advanced GIST who had disease progression on or intolerance to imatinib (NCT03673501). Randomization was 1:1 to ripretinib 150 mg once daily (QD) or sunitinib 50 mg QD (4 wks on/2 wks off) and was stratified by KIT mutational status and imatinib intolerance. OS was a key secondary endpoint; data cutoff for the second IA was Sept 1, 2022. Results: Of 453 pts in the AP ITT population, 444 received treatment; 51 remain on treatment (33/223 [14.8%] with ripretinib and 18/221 [8.1%] with sunitinib). Common reasons for treatment discontinuation were progressive disease (PD) assessed by independent radiologic review (55.4%), PD assessed by investigator (10.6%), clinical PD (5.9%), withdrawal of consent (5.4%), and adverse event (AE; 4.5%); fewer pts discontinued due to an AE for ripretinib vs sunitinib (2.7% vs 6.3%). Following study treatment discontinuation, 58 pts (25.6%) from the sunitinib arm received ripretinib; 139 pts (61.5%) from the ripretinib arm later received sunitinib. There were 185 OS events (40.8%) in the AP ITT population; median duration of follow-up was 28.7 and 28.5 months for ripretinib and sunitinib, respectively. OS was similar with ripretinib vs sunitinib in the AP ITT (median 35.5 vs 30.9 months; HR 0.88, 95% CI 0.66 to 1.18; nominal P = 0.39) and KIT exon 11 ITT populations (median 34.0 vs 31.5 months; HR 1.05, 95% CI 0.75 to 1.48; nominal P = 0.77). The updated safety profile was consistent with the primary analysis; fewer pts had grade 3/4 TEAEs with ripretinib vs sunitinib (95 [42.6%] vs 149 [67.4%]). Dose interruptions and reductions were lower with ripretinib vs sunitinib. The median (range) treatment duration was 7.9 (0.2–38.2) months for ripretinib and 6.5 (0.2–38.3) months for sunitinib. Conclusions: In the second IA from INTRIGUE, OS was similar between treatment arms. The safety profile remained consistent with additional data, and results demonstrate favorable safety with ripretinib in pts with advanced GIST previously treated with imatinib. Clinical trial information: NCT03673501 .

Abstract Aims Left ventricular hypertrophy (LVH) is an established, independent predictor of cardiovascular disease. Indices derived from the electrocardiogram (ECG) have been used to infer the presence of LVH with limited sensitivity. This study aimed to classify LVH defined by cardiovascular magnetic resonance (CMR) imaging using the 12-lead ECG for cost-effective patient stratification. Methods and results We extracted ECG biomarkers with a known physiological association with LVH from the 12-lead ECG of 37 534 participants in the UK Biobank imaging study. Classification models integrating ECG biomarkers and clinical variables were built using logistic regression, support vector machine (SVM) and random forest (RF). The dataset was split into 80% training and 20% test sets for performance evaluation. Ten-fold cross validation was applied with further validation testing performed by separating data based on UK Biobank imaging centres. QRS amplitude and blood pressure (P < 0.001) were the features most strongly associated with LVH. Classification with logistic regression had an accuracy of 81% [sensitivity 70%, specificity 81%, Area under the receiver operator curve (AUC) 0.86], SVM 81% accuracy (sensitivity 72%, specificity 81%, AUC 0.85) and RF 72% accuracy (sensitivity 74%, specificity 72%, AUC 0.83). ECG biomarkers enhanced model performance of all classifiers, compared to using clinical variables alone. Validation testing by UK Biobank imaging centres demonstrated robustness of our models. Conclusion A combination of ECG biomarkers and clinical variables were able to predict LVH defined by CMR. Our findings provide support for the ECG as an inexpensive screening tool to risk stratify patients with LVH as a prelude to advanced imaging.

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.

Succinate dehydrogenase (SDH) is a key enzyme in the tricarboxylic acid (TCA) cycle, as well as Complex II of the electron transport chain (ETC). In the SDH reaction, succinate is oxidized to fumarate in the TCA cycle, producing FADH2 contributing to the proton gradient that drives the reduction of ubiquinone to ubiquinol in the ETC. Thus, measurement of the maximum velocity of the SDH reaction (SDHmax) provides insight into both TCA cycle and ETC contributions to the maximum respiratory capacity of mitochondria. The goal of the present study was to use a quantitative histochemical technique, which we previously developed in skeletal muscle fibers, to quantify the SDHmax in permeabilized (45 μg/mL saponin) cardiomyocytes isolated from male Sprague-Dawley rats. In the SDH reaction, the oxidation of succinate (80 mM succinate; determined to be the maximum substrate concentration) to fumarate is coupled to the reduction of nitroblue tetrazolium (NBT; 1.5 mM) to its diformazan (NBTdfz) using 1-methoxyphenazine methosulphate (mPMS; 1 mM) as an exogenous electron carrier and azide (0.75 mM) to inhibit Complex IV. The progressive accumulation of NBTdfz as the reaction proceeds is measured by repeated densitometric (at 570 nm, the peak absorbance wavelength for NBTdfz) measurements. The optical density (OD) measurements are converted to mM fumarate using the Beer-Lambert-Bouger equation based on pathlength for light absorbance and the molar extinction coefficient for NBTdfz. Importantly, the pathlength for light absorbance must be controlled. In cross-sections of skeletal muscle fibers, pathlength was controlled by cryosectioning at 6 μm. In the present study, pathlength was controlled by optical sectioning using a confocal microscope. The isolated cardiomyocytes were imaged in 3D using a Nikon Eclipse A1 laser scanning confocal system with a ×40x/1.3 NA oil-immersion lens with an optical slice set at 0.5 μm. Changes in OD within a series of 10 optical slices were measured every 15 s over a 5 min period and expressed as mM fumarate/min using the Beer-Lambert-Bouger equation. We found that the SDH reaction was linear across 5 min, and that the change in OD was consistent throughout all 10 optical slices within a cardiomyocyte, suggesting that NBTdfz accumulates in the cytoplasm. Our results confirm that this assay of SDHmax is reproducible in cardiomyocytes and offers a single cell alternative to high-resolution respirometry. The ability to measure SDHmax in single cells is in contrast to respirometry, which only measures the average O2 consumption of aggregates of cells (isolated or in tissue). Thus, a direct measurement of SDHmax can provide valuable physiological insight into variation in mitochondrial function across a population of cardiomyocytes, e.g., as might occur with ischemic injury. Supported by the Mayo Clinic This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

BACKGROUND: Portal or superior mesenteric vein (PV-SMV) resection and reconstruction is sometimes required during pancreatic tumor resection. In patients requiring segmental venous resection with interposition grafting, the left renal vein (LRV) is an accessible autologous solution. However, long-term patency outcomes of the LRV as an interposition conduit in this setting have not been analyzed. STUDY DESIGN: We conducted a retrospective analysis of patients undergoing pancreatic resection with PV-SMV reconstruction using LRV between 2002 and 2022. The primary outcome was PV-SMV patency at last follow-up, assessed with postoperative CT scans and analyzed using Kaplan-Meier survival methods that account for variation in follow-up duration. Development of any postoperative acute kidney injury within 7 days of surgery and morbidity were secondary outcomes. RESULTS: The study cohort includes 65 patients who underwent LRV harvest; 60 (92%) ultimately underwent successful reconstruction with harvested LRV graft. Kaplan-Meier 2-year estimated patency rate of the LRV graft was 88%, with no cases of complete occlusion. Six (10%) patients experienced graft stenosis. Nine of 61 (15%) patients experienced grade II or III acute kidney injury, 6 of 9 returning to normal renal function before discharge. No difference in median serum creatinine was observed at baseline, 6 and 12 months from surgery. LRV remnant thrombosis was seen in 7 of 65 (11%) patients. Only 3 of 61 (5%) patients had persistent acute kidney injury caused by complications unrelated to LRV harvesting. CONCLUSIONS: Autologous LRV graft was a reliable conduit for segmental PV-SMV reconstruction, resulting in a high patency rate and marginal impact on renal function. LRV harvest is a safe and potentially ideal surgical option for PV-SMV reconstruction in pancreatic surgery.

Purpose Identifying actionable oncogenic mutations have changed the therapeutic landscape in different types of tumors. This study investigated the utility of comprehensive genomic profiling (CGP), a hybrid capture-based next-generation sequencing (NGS) assay, in clinical practice in a developing country. Methods In this retrospective cohort study, CGP was performed on clinical samples from patients with different solid tumors recruited between December 2016 and November 2020, using hybrid capture-based genomic profiling, at the individual treating physicians’ request in the clinical care for therapy decisions. Kaplan–Meier survival curves were estimated to characterize the time-to-event variables. Results Patients median age was 61 years (range: 14–87 years), and 64.7% were female. The most common histological diagnosis was lung primary tumors, with 90 patients corresponding to 52.9% of the samples (95% CI 45.4-60.4%). Actionable mutations with FDA-approved medications for specific alterations correspondent to tumoral histology were identified in 58 cases (46.4%), whereas other alterations were detected in 47 different samples (37.6%). The median overall survival was 15.5 months (95% CI 11.7 months-NR). Patients who were subjected to genomic evaluation at diagnosis reached a median overall survival of 18.3 months (95% CI 14.9 months-NR) compared to 14.1 months (95% CI 11.1 months-NR) in patients who obtained genomic evaluation after tumor progression and during standard treatment ( P = .7). Conclusion CGP of different types of tumors identifies clinically relevant genomic alterations that have benefited from targeted therapy and improve cancer care in a developing country to guide personalized treatment to beneficial outcomes of cancer patients.