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Supplementary Figures from Predicting the Grade of Dysplasia of Pancreatic Cystic Neoplasms Using Cyst Fluid DNA Methylation Markers

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posted on 2023-03-31, 20:12 authored by Tatsuo Hata, Marco Dal Molin, Seung-Mo Hong, Koji Tamura, Masaya Suenaga, Jun Yu, Hiraku Sedogawa, Matthew J. Weiss, Christopher L. Wolfgang, Anne Marie Lennon, Ralph H. Hruban, Michael G. Goggins

Supplementary Figure S1. 1-D droplet digital PCR analysis plot showing detection of methylated target molecules in serially diluted DNA samples. Supplementary Figure S2. (A) Correlation between input amounts of bisulfite converted DNA and the number of methylated SOX17 molecules detected in four representative surgically aspirated cyst fluid samples. Supplementary Figure S3. (A) MSP analysis using pancreatic cancer cell lines, HPDE cell line, and normal pancreatic tissues. Supplementary Figure S4. (A) Schematic presentation of the 5' lesion of SOX17 gene with the primer location of MSP and bisulfite sequencing. Vertical lines represent each CpG dinucleotide. Supplementary Figure S5. Relative mRNA expression for seven marker genes in 11 pancreatic cancer cell lines with the level of HPDE cells set 1.0 as reference. Supplementary Figure S6. Relative mRNA expression for seven marker genes before and after the induction of 5-Aza-2′-deoxycytidine and/or trichostatin A using 3 pancreatic cancer cell lines of MIA PaCa-2 (A), Capan-1 (B), and AsPC-1 (C). Data are represented as the mean {plus minus} standard deviation. Supplementary Figure S7. AUC values for predicting the presence of malignancy within a cyst for each marker gene among discovery set (n = 29, white bar) and validation set (n = 154, gray bar) and merged cases (n = 183, black bar). Supplementary Figure S8. Representative 1-D plot results of ddQMSP assay for methylated SOX17 and ACTB reference using the pancreatic cyst fluid samples. Supplementary Figure S9. Quantification of methylated levels in IPMN with high-grade dysplasia and invasive cancer, stratified by the extensiveness of high-grade dysplasia lesion and depth of invasive lesion. Supplementary Figure S10. Extracted DNA quantity from the surgically aspirated cyst fluid samples in each diagnostic group. Supplementary Figure S11. AUC values for predicting the presence of high-grade dysplasia or invasive cancer within a cyst among merged 183 patients using the different measurement unit of quantification for methylation level assessment. Error bars indicate 95% confidence interval. Supplementary Figure S12. Correlation between patient age and the number of methylated target molecules per ng of cyst fluid DNA for six marker genes among IPMN with IGD cases (A) and SCN cases (B). R2 means coefficient of determination. Supplementary Figure S13. Comparison of methylated level between the samples collected in Johns Hopkins Hospital (JHH) and those in Asan Medical Center (AMC). Supplementary Figure S14. Pathological diagnosis of pancreatic cystic tumors in each risk group. Supplementary Figure S15. Comparison of methylated levels across the different cyst type of IPMN, MCN and SCN. Supplementary Figure S16. (A) Prevalence of KRAS colon 12 and GNAS codon 201 mutations in 103 surgically aspirated cyst fluid samples with IPMN diagnosis. Supplementary Figure S17. AUC values for predicting the presence of high-grade dysplasia or invasive cancer within a cyst among 103 IPMN cases stratified by KRAS or GNAS status.

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NIH

Pancreatic Cancer Research

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ARTICLE ABSTRACT

Purpose: Pancreatic cysts are common and pose diagnostic and management challenges. Pancreatic cyst fluid markers have the potential to aid in the management of cysts with concerning imaging findings. Our aim was to evaluate cyst fluid methylated DNA markers for their accuracy for predicting the histologic grade of neoplastic pancreatic cysts.Experimental Design: Pancreatic cyst fluid samples from 183 patients (29 discovery and 154 validation) aspirated after surgical resection were analyzed for methylated DNA at selected genes (SOX17, BNIP3, FOXE1, PTCHD2, SLIT2, EYA4, and SFRP1) using methylation-specific droplet-digital PCR (dd-QMSP). Methylated DNA levels were evaluated for their accuracy at predicting the grade of dysplasia of the pancreatic cyst.Results: All six markers evaluated in the validation set could accurately distinguish high-risk cystic neoplasms (with high-grade dysplasia and/or associated invasive cancer) from low-risk cysts (lower grades of dysplasia) with accuracies from 79.8% to 83.6%. Methylated SOX17 had the highest overall accuracy as a single marker (sensitivity, 78.4%; specificity, 85.6%; accuracy 83.6%, cutoff; 25 methylated DNA molecules/μL cyst fluid). The best four-gene combination had 84.3% sensitivity, 89.4% specificity, and 88.0% accuracy at distinguishing cysts with high-grade dysplasia and/or invasive cancer from those without. All six markers were independent predictors of having invasive cancer/high-grade dysplasia after adjusting for clinical/imaging factors known to be associated with grade of dysplasia. The combination of methylated SOX17 with cytology better predicted neoplastic grade than cytology alone.Conclusions: A panel of methylated gene markers quantified by dd-QMSP can be used to predict the grade of dysplasia of pancreatic cysts. Clin Cancer Res; 23(14); 3935–44. ©2017 AACR.

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