Histological evaluation of PAXgene tissue fixation in Barrett's esophagus and esophageal adenocarcinoma diagnostics

. 2023 May ; 482 (5) : 887-898. [epub] 20221217

Jazyk angličtina Země Německo Médium print-electronic

Typ dokumentu klinická studie, časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid36527466

Grantová podpora
108296 Deutsche Krebshilfe
01EX1221B Bundesministerium für Bildung und Forschung
PM25 Bundesministerium für Bildung und Forschung

Odkazy

PubMed 36527466
PubMed Central PMC10156762
DOI 10.1007/s00428-022-03471-9
PII: 10.1007/s00428-022-03471-9
Knihovny.cz E-zdroje

The dysplasia grading of Barrett's esophagus (BE), based on the histomorphological assessment of formalin-fixed, paraffin-embedded (FFPE) tissue, suffers from high interobserver variability leading to an unsatisfactory prediction of cancer risk. Thus, pre-analytic preservation of biological molecules, which could improve risk prediction in BE enabling molecular and genetic analysis, is needed. We aimed to evaluate such a molecular pre-analytic fixation tool, PAXgene-fixed paraffin-embedded (PFPE) biopsies, and their suitability for histomorphological BE diagnostics in comparison to FFPE. In a ring trial, 9 GI pathologists evaluated 116 digital BE slides of non-dysplastic BE (NDBE), low-grade dysplasia (LGD), high-grade dysplasia (HGD), and esophageal adenocarcinomas (EAC) using virtual microscopy. Overall quality, cytological and histomorphological parameters, dysplasia criteria, and diagnosis were analyzed. PFPE showed better preservation of nuclear details as chromatin and nucleoli, whereas overall quality and histomorphologic parameters as visibility of basal lamina, goblet cells, and presence of artifacts were scored as equal to FFPE. The interobserver reproducibility with regard to the diagnosis was best for NDBE and EAC (κF = 0.72-0.75) and poor for LGD and HGD (κF = 0.13-0.3) in both. In conclusion, our data suggest that PFPE allows equally confident histomorphological diagnosis of BE and EAC, introducing a novel tool for molecular analysis and parallel histomorphological evaluation.

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Shaheen NJ, Falk GW, Iyer PG, Gerson LB, American College of G ACG clinical guideline: diagnosis and management of Barrett’s esophagus. Am J Gastroenterol. 2016;111(7):1077. doi: 10.1038/ajg.2016.186. PubMed DOI PMC

Schlemper RJ, Riddell RH, Kato Y, Borchard F, Cooper HS, Dawsey SM, Dixon MF, Fenoglio-Preiser CM, Flejou JF, Geboes K, Hattori T, Hirota T, Itabashi M, Iwafuchi M, Iwashita A, Kim YI, Kirchner T, Klimpfinger M, Koike M, Lauwers GY, Lewin KJ, Oberhuber G, Offner F, Price AB, Rubio CA, Shimizu M, Shimoda T, Sipponen P, Solcia E, Stolte M, Watanabe H, Yamabe H (2000) The Vienna classification of gastrointestinal epithelial neoplasia. Gut 47:251–255. 10.1136/gut.47.2.251 PubMed PMC

Fitzgerald RC, di Pietro M, Ragunath K, Ang Y, Kang JY, Watson P, Trudgill N, Patel P, Kaye PV, Sanders S, O’Donovan M, Bird-Lieberman E, Bhandari P, Jankowski JA, Attwood S, Parsons SL, Loft D, Lagergren J, Moayyedi P, Lyratzopoulos G, de Caestecker J, British Society of G (2014) British society of gastroenterology guidelines on the diagnosis and management of Barrett’s oesophagus. Gut 63:7–42. 10.1136/gutjnl-2013-305372 PubMed

Vennalaganti P, Kanakadandi V, Goldblum JR, Mathur SC, Patil DT, Offerhaus GJ, Meijer SL, Vieth M, Odze RD, Shreyas S, Parasa S, Gupta N, Repici A, Bansal A, Mohammad T, Sharma P (2017) Discordance among pathologists in the United States and Europe in diagnosis of low-grade dysplasia for patients with Barrett’s esophagus. Gastroenterology 152:564–570.e4. 10.1053/j.gastro.2016.10.041 PubMed

Salomao MA, Lam-Himlin D, Pai RK (2018) Substantial interobserver agreement in the diagnosis of dysplasia in Barrett esophagus upon review of a patient’s entire set of biopsies. Am J Surg Pathol 42:376–381. 10.1097/PAS.0000000000000988 PubMed DOI

Montgomery E, Bronner MP, Goldblum JR, Greenson JK, Haber MM, Hart J, Lamps LW, Lauwers GY, Lazenby AJ, Lewin DN, Robert ME, Toledano AY, Shyr Y, Washington K (2001) Reproducibility of the diagnosis of dysplasia in Barrett esophagus: a reaffirmation. Hum Pathol 32:368–378. 10.1053/hupa.2001.23510 PubMed

Schmidt M, Hackett RJ, Baker AM, McDonald SAC, Quante M, Graham TA. Evolutionary dynamics in Barrett oesophagus: implications for surveillance, risk stratification and therapy. Nat Rev Gastroenterol Hepatol. 2022;19:95–111. doi: 10.1038/s41575-021-00531-4. PubMed DOI

Visrodia K, Singh S, Krishnamoorthi R, Ahlquist DA, Wang KK, Iyer PG, Katzka DA (2016) Magnitude of missed esophageal adenocarcinoma after Barrett’s esophagus diagnosis: a systematic review and meta-analysis. Gastroenterology 150:599–607.e597- quiz e514–595. 10.1053/j.gastro.2015.11.040 PubMed PMC

Redston M, Noffsinger A, Kim A, Akarca FG, Rara M, Stapleton D, Nowden L, Lash R, Bass AJ, Stachler MD. Abnormal TP53 predicts risk of progression in patients with Barrett’s esophagus regardless of a diagnosis of dysplasia. Gastroenterology. 2022;162:468–481. doi: 10.1053/j.gastro.2021.10.038. PubMed DOI PMC

Killcoyne S, Gregson E, Wedge DC, Woodcock DJ, Eldridge MD, de la Rue R, Miremadi A, Abbas S, Blasko A, Kosmidou C, Januszewicz W, Jenkins AV, Gerstung M, Fitzgerald RC. Genomic copy number predicts esophageal cancer years before transformation. Nat Med. 2020;26:1726–1732. doi: 10.1038/s41591-020-1033-y. PubMed DOI PMC

Bird-Lieberman EL, Dunn JM, Coleman HG, Lao-Sirieix P, Oukrif D, Moore CE, Varghese S, Johnston BT, Arthur K, McManus DT, Novelli MR, O’Donovan M, Cardwell CR, Lovat LB, Murray LJ, Fitzgerald RC. Population-based study reveals new risk-stratification biomarker panel for Barrett’s esophagus. Gastroenterology. 2012;143(927–935):e923. doi: 10.1053/j.gastro.2012.06.041. PubMed DOI

Findlay JM, Middleton MR, Tomlinson I. Genetic biomarkers of Barrett’s esophagus susceptibility and progression to dysplasia and cancer: a systematic review and meta-analysis. Dig Dis Sci. 2016;61:25–38. doi: 10.1007/s10620-015-3884-5. PubMed DOI PMC

Maley CC, Galipeau PC, Finley JC, Wongsurawat VJ, Li X, Sanchez CA, Paulson TG, Blount PL, Risques R-A, Rabinovitch PS, Reid BJ (2006) Genetic clonal diversity predicts progression to esophageal adenocarcinoma. Nat Genet 38:468–473. 10.1038/ng1768 PubMed

Li X, Paulson TG, Galipeau PC, Sanchez CA, Liu K, Kuhner MK, Maley CC, Self SG, Vaughan TL, Reid BJ, Blount PL (2015) Assessment of esophageal adenocarcinoma risk using somatic chromosome alterations in longitudinal samples in Barrett’s esophagus. Cancer Prev Res (Phila) 8:845–856 PubMed PMC

Greytak SR, Engel KB, Bass BP, Moore HM (2015) Accuracy of molecular data generated with FFPE biospecimens: lessons from the literature. Cancer Res 75:1541–1547. 10.1158/0008-5472.CAN-14-2378 PubMed PMC

Engel KB, Moore HM. Effects of preanalytical variables on the detection of proteins by immunohistochemistry in formalin-fixed, paraffin-embedded tissue. Arch Pathol Lab Med. 2011;135:537–543. doi: 10.1043/2010-0702-RAIR.110.5858/2010-0702-RAIR.1. PubMed DOI

Bass BP, Engel KB, Greytak SR, Moore HM. A review of preanalytical factors affecting molecular, protein, and morphological analysis of formalin-fixed, paraffin-embedded (FFPE) tissue: how well do you know your FFPE specimen? Arch Pathol Lab Med. 2014;138:1520–1530. doi: 10.5858/arpa.2013-0691-RA. PubMed DOI

Ergin B, Meding S, Langer R, Kap M, Viertler C, Schott C, Ferch U, Riegman P, Zatloukal K, Walch A, Becker KF. Proteomic analysis of PAXgene-fixed tissues. J Proteome Res. 2010;9:5188–5196. doi: 10.1021/pr100664e. PubMed DOI

Groelz D, Sobin L, Branton P, Compton C, Wyrich R, Rainen L. Non-formalin fixative versus formalin-fixed tissue: a comparison of histology and RNA quality. Exp Mol Pathol. 2013;94:188–194. doi: 10.1016/j.yexmp.2012.07.002. PubMed DOI

Gundisch S, Schott C, Wolff C, Tran K, Beese C, Viertler C, Zatloukal K, Becker KF (2013) The PAXgene((R)) tissue system preserves phosphoproteins in human tissue specimens and enables comprehensive protein biomarker research. PLoS One 8:e60638. 10.1371/journal.pone.0060638 PubMed PMC

Kap M, Smedts F, Oosterhuis W, Winther R, Christensen N, Reischauer B, Viertler C, Groelz D, Becker KF, Zatloukal K, Langer R, Slotta-Huspenina J, Bodo K, de Jong B, Oelmuller U, Riegman P. Histological assessment of PAXgene tissue fixation and stabilization reagents. PLoS One. 2011;6:e27704. doi: 10.1371/journal.pone.0027704. PubMed DOI PMC

Oetjen J, Aichler M, Trede D, Strehlow J, Berger J, Heldmann S, Becker M, Gottschalk M, Kobarg JH, Wirtz S, Schiffler S, Thiele H, Walch A, Maass P, Alexandrov T. MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation. J Proteomics. 2013;90:52–60. doi: 10.1016/j.jprot.2013.03.013. PubMed DOI

Staff S, Kujala P, Karhu R, Rokman A, Ilvesaro J, Kares S, Isola J. Preservation of nucleic acids and tissue morphology in paraffin-embedded clinical samples: comparison of five molecular fixatives. J Clin Pathol. 2013;66:807–810. doi: 10.1136/jclinpath-2012-201283. PubMed DOI

Viertler C, Groelz D, Gundisch S, Kashofer K, Reischauer B, Riegman PH, Winther R, Wyrich R, Becker KF, Oelmuller U, Zatloukal K. A new technology for stabilization of biomolecules in tissues for combined histological and molecular analyses. J Mol Diagn. 2012;14:458–466. doi: 10.1016/j.jmoldx.2012.05.002. PubMed DOI

Gundisch S, Slotta-Huspenina J, Verderio P, Ciniselli CM, Pizzamiglio S, Schott C, Drecoll E, Viertler C, Zatloukal K, Kap M, Riegman P, Esposito I, Specht K, Babaryka G, Asslaber M, Bodo K, den Bakker M, den Hollander J, Fend F, Neumann J, Reu S, Perren A, Langer R, Lugli A, Becker I, Richter T, Kayser G, May AM, Carneiro F, Lopes JM, Sobin L, Hofler H, Becker KF. Evaluation of colon cancer histomorphology: a comparison between formalin and PAXgene tissue fixation by an international ring trial. Virchows Arch. 2014;465:509–519. doi: 10.1007/s00428-014-1624-4. PubMed DOI

Wiethaler M, Slotta-Huspenina J, Brandtner A, Horstmann J, Wein F, Baumeister T, Radani N, Gerland S, Anand A, Lange S, Schmidt M, Janssen KP, Conrad A, Johannes W, Strauch K, Quante AS, Linkohr B, Kuhn KA, Blaser R, Lehmann A, Kohlmayer F, Weichert W, Schmid RM, Becker KF, Quante M (2019) BarrettNET-a prospective registry for risk estimation of patients with Barrett’s esophagus to progress to adenocarcinoma. Dis Esophagus 32. 10.1093/dote/doz024 PubMed

Fleiss JL LB, Paik MC (1981) Statistical methods for rates and proportions. John Wiley and Sons, New York

Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174. doi: 10.2307/2529310. PubMed DOI

Verbeek RE, Leenders M, ten Kate FJW, van Hillegersberg R, Vleggaar FP, van Baal JWPM, van Oijen MGH, Siersema PD (2014) Surveillance of Barrett’s esophagus and mortality from esophageal adenocarcinoma: a population-based cohort study. Am J Gastroenterol 109:1215–1222. 10.1038/ajg.2014.156 PubMed DOI

Spechler SJ, Sharma P, Souza RF, Inadomi JM, Shaheen NJ, American Gastroenterological A (2011) American Gastroenterological Association technical review on the management of Barrett’s esophagus. Gastroenterology 140:e18–52- quiz e13. 10.1053/j.gastro.2011.01.031 PubMed DOI PMC

Wenker TN, Tan MC, Liu Y, El-Serag HB, Thrift AP. Prior diagnosis of Barrett’s esophagus is infrequent, but associated with improved esophageal adenocarcinoma survival. Dig Dis Sci. 2018;63:3112–3119. doi: 10.1007/s10620-018-5241-y. PubMed DOI PMC

Hvid-Jensen F, Pedersen L, Drewes AM, Sørensen HT, Funch-Jensen P (2011) Incidence of adenocarcinoma among patients with Barrett’s esophagus. N Engl J Med 365:1375–1383. 10.1056/NEJMoa1103042 PubMed

Zeki S, Fitzgerald RC (2014) Targeting care in Barrett’s oesophagus. Clin Med (Lond) 14 Suppl 6:s78–83. 10.7861/clinmedicine.14-6-s78 PubMed

Kaye PV, Ilyas M, Soomro I, Haider SA, Atwal G, Menon S, Gill S, Richards C, Harrison R, West K, Ragunath K. Dysplasia in Barrett’s oesophagus: p53 immunostaining is more reproducible than haematoxylin and eosin diagnosis and improves overall reliability, while grading is poorly reproducible. Histopathology. 2016;69:431–440. doi: 10.1111/his.12956. PubMed DOI

Kap M, Smedts F, Oosterhuis W, Winther R, Christensen N, Reischauer B, Viertler C, Groelz D, Becker K-F, Zatloukal K, Langer R, Slotta-Huspenina J, Bodo K, de Jong B, Oelmuller U, Riegman P (2011) Histological assessment of PAXgene tissue fixation and stabilization reagents. PLoS One 6:e27704. 10.1371/journal.pone.0027704 PubMed PMC

Bulten W, Kartasalo K, Chen PC, Strom P, Pinckaers H, Nagpal K, Cai Y, Steiner DF, van Boven H, Vink R, Hulsbergen-van de Kaa C, van der Laak J, Amin MB, Evans AJ, van der Kwast T, Allan R, Humphrey PA, Gronberg H, Samaratunga H, Delahunt B, Tsuzuki T, Hakkinen T, Egevad L, Demkin M, Dane S, Tan F, Valkonen M, Corrado GS, Peng L, Mermel CH, Ruusuvuori P, Litjens G, Eklund M, consortium Pc, Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nat Med. 2022;28:154–163. doi: 10.1038/s41591-021-01620-2. PubMed DOI PMC

Campanella G, Hanna MG, Geneslaw L, Miraflor A, Werneck Krauss Silva V, Busam KJ, Brogi E, Reuter VE, Klimstra DS, Fuchs TJ. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med. 2019;25:1301–1309. doi: 10.1038/s41591-019-0508-1. PubMed DOI PMC

Chen PC, Gadepalli K, MacDonald R, Liu Y, Kadowaki S, Nagpal K, Kohlberger T, Dean J, Corrado GS, Hipp JD, Mermel CH, Stumpe MC. An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nat Med. 2019;25:1453–1457. doi: 10.1038/s41591-019-0539-7. PubMed DOI

Kather JN, Pearson AT, Halama N, Jager D, Krause J, Loosen SH, Marx A, Boor P, Tacke F, Neumann UP, Grabsch HI, Yoshikawa T, Brenner H, Chang-Claude J, Hoffmeister M, Trautwein C, Luedde T. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nat Med. 2019;25:1054–1056. doi: 10.1038/s41591-019-0462-y. PubMed DOI PMC

El Hallani S, Guillaud M, Korbelik J, Marginean EC. Evaluation of quantitative digital pathology in the assessment of Barrett esophagus-associated dysplasia. Am J Clin Pathol. 2015;144:151–164. doi: 10.1309/AJCPK0Y1MMFSJDKU. PubMed DOI

Martinez P, Timmer MR, Lau CT, Calpe S, Sancho-Serra MDC, Straub D, Baker A-M, Meijer SL, Kate FJWT, Mallant-Hent RC, Naber AHJ, van Oijen AHAM, Baak LC, Scholten P, Böhmer CJM, Fockens P, Bergman JJGHM, Maley CC, Graham TA, Krishnadath KK (2016) Dynamic clonal equilibrium and predetermined cancer risk in Barrett’s oesophagus. Nat Commun 7:12158. 10.1038/ncomms12158 PubMed PMC

Mathieson W, Marcon N, Antunes L, Ashford DA, Betsou F, Frasquilho SG, Kofanova OA, McKay SC, Pericleous S, Smith C, Unger KM, Zeller C, Thomas GA (2016) A critical evaluation of the PAXgene tissue fixation system: morphology, immunohistochemistry, molecular biology, and proteomics. Am J Clin Pathol 146:25–40. 10.1093/ajcp/aqw023 PubMed

Yamaguchi T, Mukai H, Yamashita S, Fujii S, Ushijima T. Comprehensive DNA methylation and extensive mutation analyses of HER2-positive breast cancer. Oncology. 2015;88:377–384. doi: 10.1159/000369904. PubMed DOI

Sanchez-Navarro I, Gamez-Pozo A, Gonzalez-Baron M, Pinto-Marin A, Hardisson D, Lopez R, Madero R, Cejas P, Mendiola M, Espinosa E, Vara JA. Comparison of gene expression profiling by reverse transcription quantitative PCR between fresh frozen and formalin-fixed, paraffin-embedded breast cancer tissues. Biotechniques. 2010;48:389–397. doi: 10.2144/000113388. PubMed DOI

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