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Dive into the research topics where Tyler Foxwell is active.

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Featured researches published by Tyler Foxwell.


American Journal of Clinical Pathology | 2012

HER2 Amplification in Gastroesophageal Adenocarcinoma: Correlation of Two Antibodies Using Gastric Cancer Scoring Criteria, H Score, and Digital Image Analysis With Fluorescence In Situ Hybridization

Oana M. Radu; Tyler Foxwell; Kathleen Cieply; Sarah Navina; Sanja Dacic; Katie S. Nason; Jon M. Davison

We assessed 103 resected gastroesophageal adenocarcinomas for HER2 amplification by fluorescence in situ hybridization (FISH) and 2 commercial immunohistochemical assays. Of 103, 30 (29%) were FISH-amplified. Both immunohistochemical assays had greater than 95% concordance with FISH. However, as a screening test for FISH amplification, the Ventana Medical Systems (Tucson, AZ) 4B5 antibody demonstrated superior sensitivity (87%) compared with the DAKO (Carpinteria, CA) A0485 (70%). Of the cases, 28 were immunohistochemically 3+ or immunohistochemically 2+/FISH-amplified with the 4B5 assay compared with only 22 cases with the A0485 assay, representing a large potential difference in patient eligibility for anti-HER2 therapy. Cases with low-level FISH amplification (HER2/CEP17, 2.2-4.0) express lower levels of HER2 protein compared with cases with high-level amplification (HER2/CEP17, ≥4.0), raising the possibility of a differential response to anti-HER2 therapy. The H score and digital image analysis may have a limited role in improving HER2 test performance.


Annals of Surgery | 2013

Prevention of Barrett esophagus and esophageal adenocarcinoma by smoothened inhibitor in a rat model of gastroesophageal reflux disease.

Michael K. Gibson; Ali H. Zaidi; Jon M. Davison; Alejandro F. Sanz; Bruce Hough; Yoshihiro Komatsu; Juliann E. Kosovec; Astha Bhatt; Usha Malhotra; Tyler Foxwell; Christina L. Rotoloni; Toshitaka Hoppo; Blair A. Jobe

Background:Activated hedgehog (Hh) pathway is associated with development of both Barrett esophagus (BE) and esophageal adenocarcinoma (EAC). We hypothesize that blockade of the Hh pathway with smoothened (Smo) inhibitor can prevent the development of BE/EAC in the Levrat model, in which induced gastroduodenoesophageal reflux (GDER) leads to esophageal carcinogenesis. Methods:GDER was induced in 6- to 8-week-old male Sprague-Dawley rats. The Smo inhibitor (10 mg/kg/d) was given orally on postoperative weeks 10 to 16, 18 to 22, and 24 to 28, and rats were killed on week 28. The primary outcome measure was the incidence of BE and EAC. To examine potential therapeutic effects of Smo inhibition on tumor tissue, semiquantitative immunohistochemistry for Ki-67 and caspase 3 was performed. In treated animals that developed cancer, gene expression was analyzed. Results:Thirty-eight of 48 controls and 32 of 46 treated animals survived to 28 weeks. messenger ribonucleic acid (mRNA) expression of Indian Hh, a ligand of transmembrane receptor patched 1, was 184× higher in BE and 99× higher in EAC compared with normal esophageal tissue (P = 0.0239 and P = 0.0004, respectively). Compared with controls, the incidence of BE and EAC was decreased in treated animals by 35.7% (relative risk reduction, 36%; P = 0.0015) and 36% (relative risk reduction, 62%; P = 0.0033), respectively. Compared with untreated EAC, Ki-67 was downregulated (P = 0.04) and cleaved caspase 3 was no different in treated EAC (P = 0.398). Of the 84 well-known genes involved in cancer drug resistance, 50 were dysregulated in treated EAC (P < 0.05 for each gene). Conclusions:Smo inhibitor prevents the development of BE and EAC in an in vivo model of GDER.


Modern Pathology | 2014

Tumor budding is associated with an increased risk of lymph node metastasis and poor prognosis in superficial esophageal adenocarcinoma.

Michael Landau; Steven M Hastings; Tyler Foxwell; James D. Luketich; Katie S. Nason; Jon M. Davison

The treatment approach for superficial (stage T1) esophageal adenocarcinoma critically depends on the pre-operative assessment of metastatic risk. Part of that assessment involves evaluation of the primary tumor for pathologic characteristics known to predict nodal metastasis: depth of invasion (intramucosal vs submucosal), angiolymphatic invasion, tumor grade, and tumor size. Tumor budding is a histologic pattern that is associated with poor prognosis in early-stage colorectal adenocarcinoma and a predictor of nodal metastasis in T1 colorectal adenocarcinoma. In a retrospective study, we used a semi-quantitative histologic scoring system to categorize 210 surgically resected, superficial (stage T1) esophageal adenocarcinomas according to the extent of tumor budding (none, focal, and extensive) and also evaluated other known risk factors for nodal metastasis, including depth of invasion, angiolymphatic invasion, tumor grade, and tumor size. We assessed the risk of nodal metastasis associated with tumor budding in univariate analyses and controlled for other risk factors in a multivariate logistic regression model. In all, 41% (24 out of 59) of tumors with extensive tumor budding (tumor budding in ≥3 20X microscopic fields) were metastatic to regional lymph nodes, compared with 10% (12 out of 117) of tumors with no tumor budding, and 15% (5 out of 34) of tumors with focal tumor budding (P<0.001). When controlling for all pathologic risk factors in a multivariate analysis, extensive tumor budding remains an independent risk factor for lymph node metastasis in superficial esophageal adenocarcinoma associated with a 2.5-fold increase (95% CI=1.1–6.3, P=0.039) in the risk of nodal metastasis. Extensive tumor budding is also a poor prognostic factor with respect to overall survival and time to recurrence in univariate and multivariate analyses. As an independent risk factor for nodal metastasis and poor prognosis after esophagectomy, tumor budding should be evaluated in superficial (T1) esophageal adenocarcinoma as a part of a comprehensive pathologic risk assessment.


Annals of the New York Academy of Sciences | 2011

Barrett's esophagus and animal models

Ryan A. Macke; Katie S. Nason; Ken Ichi Mukaisho; Takanori Hattori; Takashi Fujimura; Shozo Sasaki; Katsunobu Oyama; Tomoharu Miyashita; Tetsuo Ohta; Koichi Miwa; Michael K. Gibson; Ali H. Zaidi; Usha Malhotra; Ajlan Atasoy; Tyler Foxwell; Blair A. Jobe

The following on Barretts esophagus (BE) and animal models contains commentaries on the factors of BE carcinogenesis; a duodenoesophageal reflux model; translation of targeted therapies for esophageal adenocarcinoma; and novel target regimens selected through a proteomics screen.


Clinical Gastroenterology and Hepatology | 2016

A Model Based on Pathologic Features of Superficial Esophageal Adenocarcinoma Complements Clinical Node Staging in Determining Risk of Metastasis to Lymph Nodes

Jon M. Davison; Michael Landau; James D. Luketich; Kevin McGrath; Tyler Foxwell; Douglas Landsittel; Michael K. Gibson; Katie S. Nason

BACKGROUND & AIMS It is important to identify superficial (T1) gastroesophageal adenocarcinomas (EAC) that are most or least likely to metastasize to lymph nodes, to select appropriate therapy. We aimed to develop a risk stratification model for metastasis of superficial EAC to lymph nodes using pathologic features of the primary tumor. METHODS We collected pathology data from 210 patients with T1 EAC who underwent esophagectomy from 1996 through 2012 on factors associated with metastasis to lymph nodes (tumor size, grade, angiolymphatic invasion, and submucosal invasion). Using these variables, we developed a multivariable logistic model to generate 4 categories for estimated risk of metastasis (<5% risk, 5%-10% risk, 15%-20% risk, or >20% risk). The model was validated in a separate cohort of 39 patients who underwent endoscopic resection of superficial EAC and subsequent esophagectomy, with node stage analysis. RESULTS We developed a model based on 4 pathologic factors that determined risk of metastasis to range from 2.9% to 60% for patients in the first cohort. In the endoscopic resection validation cohort, higher risk scores were associated with increased detection of lymph node metastases at esophagectomy (P = .021). Among patients in the first cohort who did not have lymph node metastases detected before surgery (cN0), those with high risk scores (>20% risk) had 11-fold greater odds for having lymph node metastases at esophagectomy compared with patients with low risk scores (95% confidence interval, 2.3-52 fold). Increasing risk scores were associated with reduced patient survival time (P < .001) and shorter time to tumor recurrence (P < .001). Patients without lymph node metastases (pT1N0) but high risk scores had reduced times of survival (P < .001) and time to tumor recurrence (P = .001) after esophagectomy than patients with pT1N0 tumors and lower risk scores. CONCLUSIONS Pathologic features of primary superficial EACs can be used, along with the conventional node staging system, to identify patients at low risk for metastasis, who can undergo endoscopic resection, or at high risk, who may benefit from induction or adjuvant therapy.


Cancer Epidemiology, Biomarkers & Prevention | 2016

A Tissue Systems Pathology Assay for High-Risk Barrett's Esophagus

Rebecca J. Critchley-Thorne; Lucas C. Duits; Jeffrey W. Prichard; Jon M. Davison; Blair A. Jobe; Bruce B. Campbell; Yi Zhang; Kathleen A Repa; Lia Reese; Jinhong Li; David L. Diehl; Nirag Jhala; Gregory G. Ginsberg; Maureen DeMarshall; Tyler Foxwell; Ali H. Zaidi; D. Lansing Taylor; Anil K. Rustgi; Jacques J. Bergman; Gary W. Falk

Background: Better methods are needed to predict risk of progression for Barretts esophagus. We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barretts esophagus, indefinite for dysplasia, or low-grade dysplasia. Methods: We performed a nested case–control study to develop and validate a test that predicts progression of Barretts esophagus to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC), based upon quantification of epithelial and stromal variables in baseline biopsies. Data were collected from Barretts esophagus patients at four institutions. Patients who progressed to HGD or EAC in ≥1 year (n = 79) were matched with patients who did not progress (n = 287). Biopsies were assigned randomly to training or validation sets. Immunofluorescence analyses were performed for 14 biomarkers and quantitative biomarker and morphometric features were analyzed. Prognostic features were selected in the training set and combined into classifiers. The top-performing classifier was assessed in the validation set. Results: A 3-tier, 15-feature classifier was selected in the training set and tested in the validation set. The classifier stratified patients into low-, intermediate-, and high-risk classes [HR, 9.42; 95% confidence interval, 4.6–19.24 (high-risk vs. low-risk); P < 0.0001]. It also provided independent prognostic information that outperformed predictions based on pathology analysis, segment length, age, sex, or p53 overexpression. Conclusion: We developed a tissue systems pathology test that better predicts risk of progression in Barretts esophagus than clinicopathologic variables. Impact: The test has the potential to improve upon histologic analysis as an objective method to risk stratify Barretts esophagus patients. Cancer Epidemiol Biomarkers Prev; 25(6); 958–68. ©2016 AACR.


The American Journal of Surgical Pathology | 2015

Smad4 loss in esophageal adenocarcinoma is associated with an increased propensity for disease recurrence and poor survival.

Aatur D. Singhi; Tyler Foxwell; Katie S. Nason; Kristi L. Cressman; Kevin McGrath; Weijing Sun; Nathan Bahary; Herbert J. Zeh; Ryan M. Levy; James D. Luketich; Jon M. Davison

Previously regarded as a rare neoplasm, the incidence of esophageal adenocarcinoma has risen rapidly in recent decades. It is often discovered late in the disease process and has a dismal prognosis. Current prognostic markers including clinical, radiographic, and histopathologic findings have limited utility and do not consider the biology of this deadly disease. Genome-wide analyses have identified SMAD4 inactivation in a subset of tumors. Although Smad4 has been extensively studied in other gastrointestinal malignancies, its role in esophageal adenocarcinoma remains to be defined. Herein, we show, in a large cohort of esophageal adenocarcinomas, Smad4 loss by immunohistochemistry in 21 of 205 (10%) tumors and that Smad4 loss correlated with increased postoperative recurrence (P=0.040). Further, patients whose tumors lacked Smad4 had shorter time to recurrence (TTR) (P=0.007) and poor overall survival (OS) (P=0.011). The median TTR and OS of patients with Smad4-negative tumors was 13 and 16 months, respectively, as compared with 23 and 22 months, respectively, among patients with Smad4-positive tumors. In multivariate analyses, Smad4 loss was a prognostic factor for both TTR and OS, independent of histologic grade, lymphovascular invasion, perineural invasion, tumor stage, and lymph node status. Considering Smad4 loss correlated with postoperative locoregional and/or distant metastases, Smad4 was also assessed in a separate cohort of 5 locoregional recurrences and 43 metastatic esophageal adenocarcinomas. In contrast to primary tumors, a higher prevalence of Smad4 loss was observed in metastatic disease (44% vs. 10%). In summary, loss of Smad4 protein expression is an independent prognostic factor for TTR and OS that correlates with increased propensity for disease recurrence and poor survival in patients with esophageal adenocarcinoma after surgical resection.


Journal of Pathology Informatics | 2015

TissueCypher™: A systems biology approach to anatomic pathology

Jeffrey W. Prichard; Jon M. Davison; Bruce B. Campbell; Kathleen A Repa; Lia Reese; Xuan M Nguyen; Jinhong Li; Tyler Foxwell; Lansing D. Taylor; Rebecca J. Critchley-Thorne

Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making. Aims: Here, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barretts esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. Patients and Methods: The TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barretts with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA. Results: Multiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA. Conclusions: The assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE.


Cancer Epidemiology, Biomarkers & Prevention | 2017

A Tissue Systems Pathology Test Detects Abnormalities Associated with Prevalent High-Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus

Rebecca J. Critchley-Thorne; Jon M. Davison; Jeffrey W. Prichard; Lia Reese; Yi Zhang; Kathleen A Repa; Jinhong Li; David L. Diehl; Nirag Jhala; Gregory G. Ginsberg; Maureen DeMarshall; Tyler Foxwell; Blair A. Jobe; Ali H. Zaidi; Lucas C. Duits; Jacques J. Bergman; Anil K. Rustgi; Gary W. Falk

Background: There is a need for improved tools to detect high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) in patients with Barretts esophagus. In previous work, we demonstrated that a 3-tier classifier predicted risk of incident progression in Barretts esophagus. Our aim was to determine whether this risk classifier could detect a field effect in nondysplastic (ND), indefinite for dysplasia (IND), or low-grade dysplasia (LGD) biopsies from Barretts esophagus patients with prevalent HGD/EAC. Methods: We performed a multi-institutional case–control study to evaluate a previously developed risk classifier that is based upon quantitative image features derived from 9 biomarkers and morphology, and predicts risk for HGD/EAC in Barretts esophagus patients. The risk classifier was evaluated in ND, IND, and LGD biopsies from Barretts esophagus patients diagnosed with HGD/EAC on repeat endoscopy (prevalent cases, n = 30, median time to HGD/EAC diagnosis 140.5 days) and nonprogressors (controls, n = 145, median HGD/EAC-free surveillance time 2,015 days). Results: The risk classifier stratified prevalent cases and non-progressor patients into low-, intermediate-, and high-risk classes [OR, 46.0; 95% confidence interval, 14.86-169 (high-risk vs. low-risk); P < 0.0001]. The classifier also provided independent prognostic information that outperformed the subspecialist and generalist diagnosis. Conclusions: A tissue systems pathology test better predicts prevalent HGD/EAC in Barretts esophagus patients than pathologic variables. The results indicate that molecular and cellular changes associated with malignant transformation in Barretts esophagus may be detectable as a field effect using the test. Impact: A tissue systems pathology test may provide an objective method to facilitate earlier identification of Barretts esophagus patients requiring therapeutic intervention. Cancer Epidemiol Biomarkers Prev; 26(2); 240–8. ©2016 AACR.


Human Pathology | 2015

Undifferentiated carcinoma of the esophagus: a clinicopathological study of 16 cases

Aatur D. Singhi; Raja R. Seethala; Katie S. Nason; Tyler Foxwell; Robyn L. Roche; Kevin McGrath; Ryan M. Levy; James D. Luketich; Jon M. Davison

Undifferentiated carcinoma of the esophagus is a rare histologic variant of esophageal carcinoma. Using criteria based on studies of undifferentiated carcinomas arising at other sites, we have collected 16 cases of resected esophageal undifferentiated carcinomas. Patients ranged in age from 39 to 84 years (mean, 65.5 years) and were predominantly male (94%). The tumors were characterized by an expansile growth pattern of neoplastic cells organized in solid sheets and without significant glandular, squamous, or neuroendocrine differentiation. The neoplastic cells had a syncytial-like appearance, little intervening stroma, and patchy tumor necrosis. In a subset of cases, the tumor cells adopted a sarcomatoid (n = 2), rhabdoid (n = 1), or minor component (<5%) of glandular morphology (n = 3). In 1 case, reactive osteoclast-like giant cells were found interspersed among the neoplastic cells. Lymphovascular invasion, perineural invasion, and lymph node metastases were identified in 88%, 56%, and 81% of cases, respectively. In 12 (75%) specimens, the background esophageal mucosa was notable for Barrett esophagus. Consistent with the epithelial nature of these neoplasms, cytokeratin positivity was identified in all cases. In addition, SALL4 expression was present in 8 (67%) of 12 cases. Follow-up information was available for 15 (94%) of 16 patients, all of whom were deceased. Survival after surgery ranged from 1 to 50 months (mean, 11.9 months). Before death, 67% patients had documented locoregional recurrence and/or distant organ metastases. In summary, esophageal undifferentiated carcinomas are aggressive neoplasms and associated with a high incidence of recurrence and/or metastases and a dismal prognosis.

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Jon M. Davison

University of Pittsburgh

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Katie S. Nason

University of Pittsburgh

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Blair A. Jobe

Allegheny Health Network

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Ali H. Zaidi

University of Pittsburgh

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Michael K. Gibson

Case Western Reserve University

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Jinhong Li

Geisinger Medical Center

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Lia Reese

University of Pittsburgh

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