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Canto, Marcia Irene

https://orcid.org/0000-0002-2193-3032

Mayo Clinic

Johns Hopkins University

Citations 22

A Multicenter, Double-Blinded Validation Study of Methylation Biomarkers for Progression Prediction in Barrett's Esophagus
Jin, Zhe , Cheng, Yulan , Gu, Wen , Sato, Fumiaki , Mori, Yuriko , Olaru, Alexandru, Paun, Bogdan C., Kan, Takatsugu, Ito, Tetsuo, Hamilton, James P. , Selaru, Florin M. , Agarwal, Rachana , David, Stefan, Abraham, John , Wolfsen, Herbert C. , Wallace, Michael B. , Shaheen, Nicholas J. , Washington, Kay, Bhattacharyya, Achyut, Nelson, Mark A. , Romero, Yvonne , Wang, Kenneth K. , Feng, Ziding , Sampliner, Richard E., Meltzer, Stephen J. , Zheng, Yingye , Yang, Jian Ping , Wang, Jean , Canto, Marcia Irene , Wagner, Paul Daniel , Wallace, Michael B , Meltzer, Stephen J

Cancer Research | May 12, 2009 | Volume: 69 | Issue: 10 | Pages: 4112-4115

10.1158/0008-5472.can-09-0028 Get It

Abstract Esophageal adenocarcinoma risk in Barrett's esophagus (BE) is increased 30- to 125-fold versus the general population. Among all BE patients, however, neoplastic progression occurs only once per 200 patient-years. Molecular biomarkers are therefore needed to risk-stratify patients for more efficient surveillance endoscopy and to improve the early detection of progression. We therefore performed a retrospective, multicenter, double-blinded validation study of eight BE progression prediction methylation biomarkers. Progression or nonprogression were determined at 2 years (tier 1) and 4 years (tier 2). Methylation was assayed in 145 nonprogressors and 50 progressors using real-time quantitative methylation-specific PCR. Progressors were significantly older than nonprogressors (70.6 versus 62.5 years; P < 0.001). We evaluated a linear combination of the eight markers, using coefficients from a multivariate logistic regression analysis. Areas under the ROC curve (AUC) were high in the 2-year, 4-year, and combined data models (0.843, 0.829, and 0.840; P < 0.001, <0.001, and <0.001, respectively). In addition, even after rigorous overfitting correction, the incremental AUCs contributed by panels based on the 8 markers plus age versus age alone were substantial (Δ-AUC = 0.152, 0.114, and 0.118, respectively) in all 3 models. A methylation biomarker–based panel to predict neoplastic progression in BE has potential clinical value in improving both the efficiency of surveillance endoscopy and the early detection of neoplasia. [Cancer Res 2009;69(10):4112–5]
Genome-Wide Allelotypes of Familial Pancreatic Adenocarcinomas and Familial and Sporadic Intraductal Papillary Mucinous Neoplasms
Abe, Tadayoshi, Fukushima, Noriyoshi , Brune, Kieran, Boehm, Corinne D., Sato, Norihiro , Matsubayashi, Hiroyuki , Petersen, Gloria M. , Hruban, Ralph H. , Canto, Marcia Irene , Goggins, Michael

Clinical Cancer Research | October 18, 2007 | Volume: 13 | Issue: 20 | Pages: 6019-6025

10.1158/1078-0432.ccr-07-0471 Get It

AbstractPurpose: Most familial cancer susceptibility genes are tumor suppressor genes that are biallelically inactivated in familial neoplasms through somatic deletion of the wild-type allele. Identifying the genomic losses that occur in pancreatic neoplasms, particularly those that occur in familial and precursor neoplasms, may help localize the genes responsible for pancreatic cancer susceptibility.Experimental Design: Normal and neoplastic tissue DNA was isolated from fresh-frozen surgically resected tissues from 20 patients with primary familial pancreatic adenocarcinoma (defined as having at least one first-degree relative with pancreatic cancer), 31 with sporadic intraductal papillary mucinous neoplasms (IPMN), and 7 with familial IPMNs using laser capture microdissection. Microdissected DNA was whole genome amplified using multiple strand displacement. Genome-wide allelotypes were determined using 391 microsatellite markers. The accuracy of microdissection and fidelity of the whole genome amplification were determined by comparing the genotypes of microdissected primary pancreatic cancers to the genotypes of xenografts derived from these cancers and by comparing the results of amplified to nonamplified specimens.Results: The concordance of genotypes between LCM whole genome amplified primary pancreatic cancers and their corresponding pancreatic cancer xenograft DNAs was 98%. Among the 20 primary familial pancreatic adenocarcinomas, we found a high prevalence of loss of heterozygosity (LOH) with an average fractional allelic loss (FAL) of 49.9% of an aggregate of 2,378 informative markers. The level of FAL in the IPMNs (10%) was significantly lower than in the pancreatic adenocarcinomas. The most common locus of LOH in the IPMNs was at 19p (LOH at 24% of markers). The regions of frequent allelic loss observed in the familial pancreatic cancers were similar to those found in sporadic pancreatic cancers.Conclusions: The allelic loss patterns of familial and sporadic pancreatic cancers and IPMNs provide clues as to the genomic locations of tumor suppressor genes inactivated in these neoplasms.