Mittal, Sumeet K.

Abstract Introduction: The incidence of esophageal adenocarcinoma (EAC) has increased more than any other cancer in our lifetime. Barrett’s esophagus (BE) is the only known precursor to EAC. At present, HER-2 and anti-PD-L1 therapies are FDA-approved for EAC, and off-label use of EGFR-directed therapy has been reported. Our study aims to use liquid chromatography mass spectrometry (LC/MS) to measure the expression of oncoproteins that are currently approved-drug targets in EAC and explore new promising targets for drug development and diagnostic applications for EAC and BE. Methods: EAC patients who underwent esophagectomy without chemo-radiation were identified. BE patients with subsequent progression to EAC and those without progression for >10 years were identified. Normal esophageal mucosa tissues with no history of progression were analyzed for baseline expression. Tissue sections were microdissected to isolate pure EAC, BE and normal mucosal cells from stroma. These biopsies were solubilized for LC/MS-based quantification of 80+ clinically relevant tumor markers including novel markers which are believed to play a role in the disease progression from BE to EAC. The expression trends of these markers were scrutinized by immunofluorescence (IF) in a subset of specimens/biomarkers to confirm mass spec results. Results: A total of 159 tissues were analyzed via LC-MS. In 55 EAC tissues - HER2, PD-L1 and EGFR were overexpressed in 16.3%, 0%, and 0% of patients, respectively. New markers DAD1 and S100P were noted to have high (7,634.0 and 27,222.6 attomoles/ug) and consistent (98.1% and 94.5%) overexpression in EAC samples. Expression of HER2, S100P and DAD1 were significantly higher in EAC compared to 23 normal esophageal mucosa specimens. There was no statistical difference in the expression of PD-L1 and EGFR between EAC and healthy mucosal samples. 45 BE biopsies progressed to EAC within a mean of 380 days, while the remaining 36 BE specimens did not progress over a 10-year period. 8 novel biomarkers were expressed at a higher level in BE tissue that progressed to cancer when compared to esophageal tissue that remained stable over 10 years. The expression trends observed via LC/MS were confirmed via IF in DAD1, S100P and two other novel markers. Discussion: LC-MS revealed low prevalence of target proteins in currently approved EAC therapies and high levels of newly discovered disease drivers that should be explored as possible therapy targets or diagnostic markers. The differential overexpression of the novel markers in progressive and non-progressive BE tissues, as well as the consistent overexpression of these markers in EAC tumors, demonstrates the potential for early detection of esophageal carcinogenesis and/or reveals potential therapeutic programs for an indication that lacks highly efficacious targeted therapy options. Citation Format: Christopher Hartley, Ajay Bansal, Catherine Hagen, Olivia Driscoll, Seyun Oh, Joe Abdo, Sumeet K. Mittal. Mass spectrometry detects lower frequency of routine markers and consistent overexpression of novel disease drivers in Barrett's-related esophageal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2805.

343 Background: Esophageal adenocarcinoma (EAC) continues to have extremely poor prognosis despite advances in surgical and oncological regimens. Targeted and immune therapy hold promise to improve outcomes in solid tumors including EAC. At present HER-2 and anti-PD-L1 therapies are approved by the FDA for EAC. Additionally, off-label use of EGFR directed therapy has been reported. The aim of this study is to measure expression of 80+ oncoproteins in EAC using multiplexed mass spectrometry to elucidate expression of currently approved-drug targets and explore promising new targets for drug development. Methods: After Institutional Review Board approval (Mayo Clinic and KUMC), EAC patients whose tumors were resected via esophagectomy before chemotherapy and/or radiation were identified. Normal esophageal mucosa samples with no history of EAC were also retrieved for analysis. Tissue sections were microdissected to exclude stroma from adenocarcinoma cells. Isolated EAC cells were solubilized for mass spectrometry-based quantitation of more than 80 clinically relevant tumor markers. Results: 55 EAC tissues were analyzed. HER2, PD-L1 and EGFR were overexpressed only in 16.3%, 0%, and 0% of patients, respectively. New oncoproteins #2 and #6 were noted to have high (7,634.0 and 27,222.6 attomoles/ug) and consistent (98.1% and 94.5%) overexpression in EAC samples. Expression of HER2, oncoproteins #2 and #6 were significantly higher in EAC compared to normal esophageal mucosa. There was no statistical difference in the expression of PD-L1 and EGFR between EAC and normal samples. Conclusions: Mass spectrometry revealed a very low prevalence of target oncoproteins in EAC for currently used drugs. Our study potentially reveals alternate markers which are near universally present at high levels and should be further explored for targeted treatment.[Table: see text]

249 Background: Since 1975, Esophageal adenocarcinoma (EAC) incidence has increased more than any other cancer (̃700%). Pre-malignant metaplastic tissue, or Barrett's Esophagus (BE), is the only known precursor for EAC. Periodic histological assessment of endoscopic biopsy along dysplasia-carcinoma sequence is used to assess progression risk. Current surveillance protocols have clinical limitations as 80% of patients still present with stage II-IV EAC. The aim of this study is to compare novel proteomic expression patterns to distinguish stable BE patients from those who developed EAC using the STLA101 assay. Methods: After Institutional Review Board approval patients with BE/GERD were identified. Two cohorts were selected: progressors (progressed to EAC at subsequent interval of 0.5-3 years) and non–progressors (̃10 yrs of f/u surveillance without progression along dysplasia/carcinoma path). 24 normal esophageal mucosa samples with no h/o of BE were also retrieved for baseline expression levels. Tissue sections were microdissected to isolate pure BE cells from surrounding stromal cells. BE cells underwent a multi-step process where tissue was heated and digested to produce a liquid biopsy for mass spec. Isotopically labeled control peptides representing the STLA101 panel were spiked in with digested tissue samples to quantify all of the markers simultaneously using a Triple-quad mass spectrometer. Results: A total of 95 tissues were analyzed. 29 BE biopsies progressed to EAC within a mean of 380 days while the remaining 28 BE and 14 GERD specimens did not progress over a 10-yr period. All 8 biomarkers were expressed at a higher level in BE tissue that progressed to cancer when compared to BE/GERD tissue that remained stable over 10 years. The assay had a 100% technical success rate as no samples yielded “non-detectable” data points. Conclusions: The differential overexpression of the STLA101 panel on progressive and non-progressive BE tissues demonstrates the clinical utility of STLA101 as a predictive biomarker panel for early detection of esophageal carcinogenesis. Non-progressive BE tissues were similar to normal mucosa, therefore, patients whose BE tissue samples resemble this profile may receive a reduced screening cadence. On the other hand, patients with overexpression of the STLA101 panel may be eligible to receive more frequent screening or therapeutic intervention.

Abstract Chicago Classification v4.0 (CCv4.0) is the updated classification scheme for esophageal motility disorders using metrics from high‐resolution manometry (HRM). Fifty‐two diverse international experts separated into seven working subgroups utilized formal validated methodologies over two‐years to develop CCv4.0. Key updates in CCv.4.0 consist of a more rigorous and expansive HRM protocol that incorporates supine and upright test positions as well as provocative testing, a refined definition of esophagogastric junction (EGJ) outflow obstruction (EGJOO), more stringent diagnostic criteria for ineffective esophageal motility and description of baseline EGJ metrics. Further, the CCv4.0 sought to define motility disorder diagnoses as conclusive and inconclusive based on associated symptoms, and findings on provocative testing as well as supportive testing with barium esophagram with tablet and/or functional lumen imaging probe. These changes attempt to minimize ambiguity in prior iterations of Chicago Classification and provide more standardized and rigorous criteria for patterns of disorders of peristalsis and obstruction at the EGJ.

AbstractBackgroundFamilial aggregation and segregation analysis studies have provided evidence of a genetic basis for esophageal adenocarcinoma (EAC) and its premalignant precursor, Barrett's esophagus (BE). We aim to demonstrate the utility of linkage analysis to identify the genomic regions that might contain the genetic variants that predispose individuals to this complex trait (BE and EAC).MethodsWe genotyped 144 individuals in 42 multiplex pedigrees chosen from 1000 singly ascertained BE/EAC pedigrees, and performed both model‐based and model‐free linkage analyses, using S.A.G.E. and other software. Segregation models were fitted, from the data on both the 42 pedigrees and the 1000 pedigrees, to determine parameters for performing model‐based linkage analysis. Model‐based and model‐free linkage analyses were conducted in two sets of pedigrees: the 42 pedigrees and a subset of 18 pedigrees with female affected members that are expected to be more genetically homogeneous. Genome‐wide associations were also tested in these families.ResultsLinkage analyses on the 42 pedigrees identified several regions consistently suggestive of linkage by different linkage analysis methods on chromosomes 2q31, 12q23, and 4p14. A linkage on 15q26 is the only consistent linkage region identified in the 18 female‐affected pedigrees, in which the linkage signal is higher than in the 42 pedigrees. Other tentative linkage signals are also reported.ConclusionOur linkage study of BE/EAC pedigrees identified linkage regions on chromosomes 2, 4, 12, and 15, with some reported associations located within our linkage peaks. Our linkage results can help prioritize association tests to delineate the genetic determinants underlying susceptibility to BE and EAC.

Abstract Background: Barrett's esophagus is often asymptomatic and only a small portion of Barrett's esophagus patients are currently diagnosed and under surveillance. Therefore, it is important to develop risk prediction models to identify high-risk individuals with Barrett's esophagus. Familial aggregation of Barrett's esophagus and esophageal adenocarcinoma, and the increased risk of esophageal adenocarcinoma for individuals with a family history, raise the necessity of including genetic factors in the prediction model. Methods to determine risk prediction models using both risk covariates and ascertained family data are not well developed. Methods: We developed a Barrett's Esophagus Translational Research Network (BETRNet) risk prediction model from 787 singly ascertained Barrett's esophagus pedigrees and 92 multiplex Barrett's esophagus pedigrees, fitting a multivariate logistic model that incorporates family history and clinical risk factors. The eight risk factors, age, sex, education level, parental status, smoking, heartburn frequency, regurgitation frequency, and use of acid suppressant, were included in the model. The prediction accuracy was evaluated on the training dataset and an independent validation dataset of 643 multiplex Barrett's esophagus pedigrees. Results: Our results indicate family information helps to predict Barrett's esophagus risk, and predicting in families improves both prediction calibration and discrimination accuracy. Conclusions: Our model can predict Barrett's esophagus risk for anyone with family members known to have, or not have, had Barrett's esophagus. It can predict risk for unrelated individuals without knowing any relatives' information. Impact: Our prediction model will shed light on effectively identifying high-risk individuals for Barrett's esophagus screening and surveillance, consequently allowing intervention at an early stage, and reducing mortality from esophageal adenocarcinoma. Cancer Epidemiol Biomarkers Prev; 25(5); 727–35. ©2016 AACR.

Abstract Background: Genetic influences may be discerned in families that have multiple affected members and may manifest as an earlier age of cancer diagnosis. In this study, we determine whether cancers develop at an earlier age in multiplex Familial Barrett's Esophagus (FBE) kindreds, defined by 3 or more members affected by Barrett's esophagus (BE) or esophageal adenocarcinoma (EAC). Methods: Information on BE/EAC risk factors and family history was collected from probands at eight tertiary care academic hospitals. Age of cancer diagnosis and other risk factors were compared between nonfamilial (no affected relatives), duplex (two affected relatives), and multiplex (three or more affected relatives) FBE kindreds. Results: The study included 830 nonfamilial, 274 duplex, and 41 multiplex FBE kindreds with 274, 133, and 43 EAC and 566, 288, and 103 BE cases, respectively. Multivariable mixed models adjusting for familial correlations showed that multiplex kindreds were associated with a younger age of cancer diagnosis (P = 0.0186). Median age of cancer diagnosis was significantly younger in multiplex compared with duplex and nonfamilial kindreds (57 vs. 62 vs. 63 years, respectively, P = 0.0448). Mean body mass index was significantly lower in multiplex kindreds (P = 0.0033), as was smoking (P < 0.0001), and reported regurgitation (P = 0.0014). Conclusions: Members of multiplex FBE kindreds develop EAC at an earlier age compared with nonfamilial EAC cases. Multiplex kindreds do not have a higher proportion of common risk factors for EAC, suggesting that this aggregation might be related to a genetic factor. Impact: These findings indicate that efforts to identify susceptibility genes for BE and EAC will need to focus on multiplex kindreds. Cancer Epidemiol Biomarkers Prev; 21(2); 376–83. ©2011 AACR.