Citations

AbstractBackgroundRecent studies with functional endoluminal imaging probe (EndoFLIP®) measure physiologic characteristics of the pylorus. EndoFLIP® has the potential to select optimal candidates for gastric peroral endoscopic myotomy (G‐POEM). Normative values of the pylorus using EndoFLIP® have not been established.MethodsTwenty‐four healthy volunteers (20–56 years old; 15 females) underwent unsedated, transoral EndoFLIP® measurements of the pylorus after 8 h of fasting. Measurements of diameter (DM), balloon pressure, and distensibility index (DI) of the pylorus were obtained twice over 5 min at 40, 50, and 60 ml balloon distensions.Key ResultsPyloric DM at 40, 50, and 60 ml balloon distensions were 13.0 ± 2.5, 14.3 ± 1.8, and 17.2 ± 2.0 mm, respectively. DM with 60 ml distension was notably higher than with 40 and 50 ml distensions. Pyloric DI at 40, 50, and 60 ml distensions were 10.9 ± 4.8, 11.3 ± 5.8, and 11.1 ± 4.3 mm2/mm Hg, respectively (p = 0.86). Linear regression and Bland–Altman plots showed similar distribution of the DM and DI during the second minute compared with the full 5‐min measurements at 50 ml distension, as well as between two sequential measurements using 50 ml distension. With 50 ml balloon distension, intraindividual coefficients of variation (COVintra) for DM and DI were 13.8% and 29.6%, respectively, and interindividual COV (COVinter) were 12.6% and 51.3%, respectively. Similar reproducibility was obtained with 40 ml balloon distension.Conclusions and InferencesUnsedated EndoFLIP® can be used to characterize human fasting pyloric diameter and distensibility, with best performance observed with 40 ml and 50 ml distensions and data collection during the second minute. Normative values reported serve as reference values for future studies.

Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene–environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this. We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P < 0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk, using a mixed-effects score test. After adjusting for number of tests using Bonferroni correction, no interaction remained statistically significant. The strongest interaction observed was between the predicted expression of the C13orf45 gene and age at first full-term pregnancy (PGXE = 4.44 × 10−6). In this transcriptome-informed genome-wide gene–environment interaction study of breast cancer, we found no strong support for the role of gene expression in modifying the associations between established risk factors and breast cancer risk. Our study suggests a limited role of gene–environment interactions in breast cancer risk.

As the most lethal major cancer, pancreatic cancer is a global healthcare challenge. Personalized medicine utilizing cutting-edge multi-omics data holds potential for major breakthroughs in tackling this critical problem. Radiomics and deep learning, two trendy quantitative imaging methods that take advantage of data science and modern medical imaging, have shown increasing promise in advancing the precision management of pancreatic cancer via diagnosing of precursor diseases, early detection, accurate diagnosis, and treatment personalization and optimization. Radiomics employs manually-crafted features, while deep learning applies computer-generated automatic features. These two methods aim to mine hidden information in medical images that is missed by conventional radiology and gain insights by systematically comparing the quantitative image information across different patients in order to characterize unique imaging phenotypes. Both methods have been studied and applied in various pancreatic cancer clinical applications. In this review, we begin with an introduction to the clinical problems and the technology. After providing technical overviews of the two methods, this review focuses on the current progress of clinical applications in precancerous lesion diagnosis, pancreatic cancer detection and diagnosis, prognosis prediction, treatment stratification, and radiogenomics. The limitations of current studies and methods are discussed, along with future directions. With better standardization and optimization of the workflow from image acquisition to analysis and with larger and especially prospective high-quality datasets, radiomics and deep learning methods could show real hope in the battle against pancreatic cancer through big data-based high-precision personalization.

Introduction: Therapeutic strategies dual-targeting renin-angiotensin system (RAS) and natriuretic peptide system (NPS), such as Sacubitril/Valsartan, have been proven promising in treating cardiorenal disease (CRD). However, mechanisms behind the crosstalk between RAS and NPS remain to be fully elucidated. While angiotensin II (ANGII), the central RAS hormone, is thought to interact with NPS at multiple levels, whether and how it may influence the actions of particulate guanylyl cyclase A (pGC-A), the receptor activated by ANP and BNP to increase its second messenger cGMP, has not been investigated. Hypothesis: We hypothesize ANGII naturally suppresses pGC-A activity and inhibition of this ANGII mediated action can be a new strategy to combat CRD. Methods: Studies consist of biomarker analyses in plasma from healthy humans, drug infusions in normal rats, molecular characterization in human HEK293 cells, and in vitro assessment of CRRL290, an innovative dual-functional peptide designed to activate pGC-A and inhibit protein kinase C (PKC). Results: In 128 healthy humans, plasma cGMP was positively associated with ANP or BNP in low (≤ 4.5 pg/mL) but not those with high (> 4.5 pg/mL) ANGII levels. Infusion of ANP (300 pmol/kg/min) in normal rats increased plasma and urinary cGMP, however ANP mediated cGMP generation was reduced in the presence of ANGII. Interestingly, suppression effect of ANGII on pGC-A was only recapitulated in HEK293 cell overexpressing both pGC-A and AT1R, but not in HEK293 cell overexpressing pGC-A alone. We also found PKC, a known downstream target of AT1R, was a key mediator as the suppression effect of ANGII was largely ablated by Go6983, a pan PKC inhibitor. Accordingly, we designed and synthesized CRRL290. Notably, CRRL290 had superior potency in cGMP generation compared to the currently best-in-class ANP-analog, MANP, in HEK293 cells. Conclusions: We demonstrate that ANGII is a natural suppressor of pGC-A via AT1R and PKC signaling. We also report for the first time that CRRL290, a novel bioengineered peptide that activates pGC-A receptor while inhibiting PKC signaling, potently generates cGMP. Our study provides new insights into the RAS-NPS interaction, and highlights a novel and mechanism-based therapeutic avenue for treating CRD.

Background Left ventricular aneurysm (LVA) is a significant complication of myocardial infarction that may lead to global left ventricular (LV) dysfunction. However, the exact mechanism underlying the abnormal function has not been elucidated. In this study we tested the hypothesis that changes in LV geometry cause both an increase in wall stress and a change in the temporal distribution of stress in the LVA border zone (BZ) during systole. Methods Transmural anteroapical infarcts were created in adult Dorsett sheep (n=8) and were allowed to mature into LVAs for 10 weeks. Animals were imaged subsequently using MRI with simultaneous recording of intraventricular pressures. Cardiac models were constructed from the MRI images at end-diastole, isovolumic systole, peak-systole and end-systole. Two short-axis slices, 1 basal and 1 apical were analyzed. The apical slice included the septal and anterior component of the aneurysm as well as the corresponding BZs and normal myocardium. Regional wall stresses were calculated using finite element analysis and compared with stresses in corresponding regions from normal control sheep (n=7). Results In the LVA group, stress was significantly increased in the BZ at the end-diastolic, isovolumic, peak-systolic, and end-systolic instants ( P <0.001 for all). In addition the temporal distribution of stress was significantly altered with maximum stress occurring at peak instead of isovolumic systole. Conclusions Geometric changes in the LVA hearts increased wall stress and altered its temporal distribution in the BZ region. Correlation of this finding with the corresponding regional blood flow, oxygen consumption, and mechanical systolic performance may help elucidate the mechanism underlying the observed global LV dysfunction.

Abstract Background: The etiology of colorectal cancer is not fully understood. Methods: Using genetic variants and metabolomics data including 217 metabolites from the Framingham Heart Study (n = 1,357), we built genetic prediction models for circulating metabolites. Models with prediction R2 &gt; 0.01 (Nmetabolite = 58) were applied to predict levels of metabolites in two large consortia with a combined sample size of approximately 46,300 cases and 59,200 controls of European and approximately 21,700 cases and 47,400 controls of East Asian (EA) descent. Genetically predicted levels of metabolites were evaluated for their associations with colorectal cancer risk in logistic regressions within each racial group, after which the results were combined by meta-analysis. Results: Of the 58 metabolites tested, 24 metabolites were significantly associated with colorectal cancer risk [Benjamini–Hochberg FDR (BH-FDR) &lt; 0.05] in the European population (ORs ranged from 0.91 to 1.06; P values ranged from 0.02 to 6.4 × 10−8). Twenty one of the 24 associations were replicated in the EA population (ORs ranged from 0.26 to 1.69, BH-FDR &lt; 0.05). In addition, the genetically predicted levels of C16:0 cholesteryl ester was significantly associated with colorectal cancer risk in the EA population only (OREA: 1.94, 95% CI, 1.60−2.36, P = 2.6 × 10−11; OREUR: 1.01, 95% CI, 0.99−1.04, P = 0.3). Nineteen of the 25 metabolites were glycerophospholipids and triacylglycerols (TAG). Eighteen associations exhibited significant heterogeneity between the two racial groups (PEUR-EA-Het &lt; 0.005), which were more strongly associated in the EA population. This integrative study suggested a potential role of lipids, especially certain glycerophospholipids and TAGs, in the etiology of colorectal cancer. Conclusions: This study identified potential novel risk biomarkers for colorectal cancer by integrating genetics and circulating metabolomics data. Impact: The identified metabolites could be developed into new tools for risk assessment of colorectal cancer in both European and EA populations.

Abstract Background: Extended adjuvant endocrine therapy (eET) beyond the first 5 years of ET improves long-term outcomes in breast cancer survivors. For women who remain premenopausal, evidence for benefit has only been demonstrated to date for 5 years of additional tamoxifen, after an initial 5 years of tamoxifen (from ATLAS, aTTom). There are no data available for eET among premenopausal women treated with initial adjuvant aromatase inhibition (AI) and ovarian functions suppression (OFS). Thus, there is uncertainty regarding the optimal eET regimen for young breast cancer survivors. Methods: The Young Women’s Breast Cancer Study (YWS) is a multicenter prospective cohort of women age ≤40 years newly diagnosed with breast cancer between 2006-2016. Women with stage I-III hormone receptor positive breast cancer, ≥6 years post-diagnosis without breast cancer recurrence were considered candidates for eET. Use of eET was elicited on surveys completed at 6, 7 and/or 8 years post-diagnosis, censoring for recurrence or death. Those completing ≥1 survey were eligible for analysis. Patient characteristics were compared by Chi-square test between eET users and non-users, and logistic regression applied to identify factors associated with eET use. Results: Of 667 potential eET candidates, 73.9% (493/667) returned ≥1 survey between year 6-8 and were eligible for analysis. Compared to those without a year 6-8 survey, the analytic cohort tended to be more non-Hispanic white (86.0% v. 77.6%), more financially comfortable (53.9% v. 39.5%) and more likely to have children pre-diagnosis (59.6% v. 41.4%); age and disease characteristics were similar. Overall, 59.6% (294/493) reported any eET use, with use declining over time from 56.9% (265/466) to 51.4% (219/426) to 46.8% (162/346) at years 6, 7 and 8 post-diagnosis, respectively. Among eET users (n=294), tamoxifen monotherapy was the most common approach (76.9%, 226/294), followed by AI monotherapy (22.1%, 65/294, presumably women who transitioned into menopause), AI-OFS (7.1%, 21/294) and tamoxifen-OFS (3.1%, 9/294). Women diagnosed after 2012 were as likely to receive eET as those diagnosed 2006-2011 (59.4%, 117/197 v. 59.8%, 177/296 p=0.928), however eET more often included AI, with or without OFS (41.0% v. 18.6%, p&lt;0.001), or OFS (17.9% v. 7.3%, p=0.005) in later years. In multivariable analysis, increasing age (per year odds ratio [OR]: 1.10, 95% confidence interval [CI]: 1.04-1.15, p&lt;0.001), higher stage (II v. I: OR: 2.85, 95% CI: 1.81-4.48, p&lt;0.001; III v. I: OR: 3.73, 95% CI: 1.87-7.42, p&lt;0.001) and receipt of chemotherapy (OR: 3.50, 95% CI: 2.08-5.91, p&lt;0.001) were independently significantly associated with any eET use, while women not of white non-Hispanic race/ethnicity were less likely to report eET use (OR: 0.49, 95% CI: 0.28-0.87, p=0.014). Rates of pregnancy in years 1-5 did not differ between eET users and non-users (10.0%, 29/291 v. 8.7%, 17/195, p=0.645) Conclusion: The majority of eligible young breast cancer survivors in the YWS have received eET despite limited data regarding its utility in this population. Heterogeneity exists regarding strategies utilized, and while some factors associated with eET use appear to reflect appropriate risk-based care, such as stage and receipt of chemotherapy, others, including age and race, suggest disparate uptake. Clinical studies are needed in order to determine the optimal approach to eET for young women with a history of early stage hormone receptor-positive breast cancer who remain premenopausal following 5 years of ET. Ensuring risk and preference-based uptake of eET should be a priority. Citation Format: Tal Sella, Yue Zheng, Shoshana M Rosenberg, Kathryn J Ruddy, Shari I Gelber, Rulla M Tamimi, Jeffrey M Peppercorn, Lidia Schapira, Virgina F Borges, Steven E Come, Lisa A Carey, Eric P Winer, Ann H Partridge. Extended adjuvant endocrine therapy in a longitudinal cohort of young breast cancer survivors [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD13-10.

153 Background: The prognostic significance of DDR alterations in mCRPC remains unclear, with conflicting data from prior reports. Whether DDR alterations are predictive of outcomes with therapeutic agents other than PARP inhibitors in mCRPC is also poorly understood. With increasing use of molecular profiling in mCRPC, understanding the full prognostic and predictive utility of plasma DDR alterations is paramount. Methods: A next-generation sequencing Predicine liquid biopsy assay was used to profile cfDNA and germline DNA in 407 mCRPC patients (pts) from two independent international cohorts (n=162 Australia, n=245 US). DDR genes profiled were BRCA2, ATM, BRCA1, MLH1 and MSH2. Kaplan-Meier survival estimates and multivariable Cox regression analyses were used to assess associations between DDR alterations and clinical outcomes including PSA response rate (PSA RR), progression-free survival and overall survival (OS). Results: Median age was 74 (IQR 67-79), with median follow up 74 months and median OS 23 months. 65/407 (16%) harboured pathogenic DDR alterations, including 21 patients with ³1 alteration. Frequency of genomic aberrations are shown in the table. BRCA2 alterations were further classified as heterozygous loss (66%), homozygous loss (14%), monoallelic mutation (11%) and biallelic mutation/loss of heterozygosity (9%). Aberrations in any DDR gene, ATM, MLH1 + MSH2 or BRCA2 were associated with shorter OS on univariable analysis, but only any DDR or BRCA2 aberration remained significant upon adjusting for clinical prognosticators and ctDNA fraction (Table). Pre-treatment BRCA2 aberration was associated with significantly shorter OS and lower PSA RR compared to BRCA2 wt for pts receiving an AR pathway inhibitor (ARPI) (18 vs 32 months, p=0.006; 36 vs 60%, p=0.04 respectively) but not for taxane chemotherapy (17 vs 20 months, p=0.3; 45 vs 66, p=0.1 respectively). Conclusions: Detection of an aberration in any DDR gene or BRCA2 was an independent poor prognostic factor across 2 large independent cohorts of mCRPC patients. Intriguingly, patients with a BRCA2 alteration appeared to have worse outcomes with ARPI but not chemotherapy, suggesting predictive utility of DDR profiling. Our data collectively speak to the potential role of DDR alterations, in particular BRCA2, as prognostic and/ or predictive biomarkers in mCRPC.[Table: see text]

150 Background: With the evolving use of targeted therapies exploiting genomic vulnerabilities in mCRPC, screening patients for sensitizing alterations is of increasing relevance. However, the influence of age on the detection of relevant genomic alterations is incompletely understood. In this study, we compared the cell-free DNA (cfDNA) profiles of younger (age <70) versus older (age ≥70) men with mCRPC and assessed the relative prognostic impact of common genomic alterations. Methods: A next-generation sequencing-based Predicine cfDNA assay was used to profile 276 mCRPC patients from two independent international cohorts. The frequency of genomic alterations across age categories was compared using the chi-squared test, while circulating tumour DNA fraction (ctDNA%) was compared using the Mann–Whitney U test. Cox proportional hazards analysis with interaction testing was used to assess the association between age, genomic alteration and overall survival. Results: The median age of the combined cohort was 72 years (IQR 66-78), with 170 (62%) patients ≥70 years old. Despite differences in baseline characteristics (poorer performance status in older patients, higher Gleason score and de novo metastatic disease in younger patients), there was no significant difference in ctDNA% (median 22% vs 30%, p=0.6). We observed similar frequencies of genomic alterations across the 10 most commonly aberrant genes, including AR (<70 vs ≥70: 46% vs 49%, p=0.6), TP53 (40% vs 36%, p=0.6), BRCA2 (29% vs 21%, p=0.13) and PTEN (39% vs 35%, p=0.5). This similarity persisted when analysing mutations and copy number alterations in isolation. While driver alterations in both age categories were strongly associated with unfavourable outcomes (Table), an exploratory analysis revealed that copy number gain in PIK3CA may have a worse prognostic impact in younger men ( p for interaction = 0.03), with a lesser effect observed in AR gain ( p = 0.1) and MYC gain ( p = 0.1). Conclusions: The genomic profiles of pertinent alterations between younger and older men are comparable. Certain genomic alterations may carry a worse prognosis in younger men. Patients should be considered for precision medicine assessment and directed therapies, regardless of age. [Table: see text]