Digital pathology for the validation of tissue microarrays in peripheral T-cell lymphomas

Applied Immunohistochemistry and Molecular Morphology

Volumn 22, Issue 8, 2014, Pages 577-584

  Pedersen, Martin B ^a   Riber Hansen, Rikke ^a   Nielsen, Patricia S ^a   Bendix, Knud ^a   Hamilton Dutoit, Stephen J ^a   D'Amore, Francesco ^a   Steiniche, Torben ^a  

^a AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Digital pathology; Immunohistochemistry; Peripheral T cell lymphoma; Tissue microarray; Validation studies

Indexed keywords

BIOLOGICAL MARKER; CD2 ANTIGEN; EOSIN; HEMATOXYLIN; KI 67 ANTIGEN; PARAFFIN;

ADULT; AGED; ARTICLE; AUTOMATION; CLINICAL ARTICLE; CORRELATION COEFFICIENT; FEMALE; HUMAN; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; MALE; PERIPHERAL T CELL LYMPHOMA; SCORING SYSTEM; STAINING; STEREOLOGY; TISSUE MICROARRAY; TISSUE SECTION; TUMOR BIOPSY; VALIDATION STUDY; VERY ELDERLY; MIDDLE AGED; PATHOLOGY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; LYMPHOMA, T-CELL, PERIPHERAL; MALE; MIDDLE AGED; TISSUE ARRAY ANALYSIS; YOUNG ADULT;

EID: 84912521388     PISSN: 15412016     EISSN: 15334058     Source Type: Journal    
DOI: 10.1097/PAI.0b013e3182a7d16d     Document Type: Article

References (32)

1. Swerdlow SH, Campo E, Harris NL, et al. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissue. 4th ed, Lyon: IARC; 2008.
2. Vose J, Armitage J, Weisenburger D. International peripheral T-cell and natural killer/T-cell lymphoma study: pathology findings and clinical outcomes. J Clin Oncol. 2008;26:4124-4130.
3. Foss FM, Zinzani PL, Vose JM, et al. Peripheral T-cell lymphoma. Blood. 2011;117:6756-6767.
4. Kononen J, Bubendorf L, Kallioniemi A, et al. Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat Med. 1998;4:844-847.
5. Eckel-Passow JE, Lohse CM, Sheinin Y, et al. Tissue microarrays: one size does not fit all. Diagn Pathol. 2010;5:48.
6. Nankivell PC, Williams H, Bartlett JM, et al. Validation of tissue microarrays in oral epithelial dysplasia using a novel virtual-array technique. J Clin Pathol. 2012;65:1084-1087.
7. Riber-Hansen R, Vainer B, Steiniche T. Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results. APMIS. 2012;120:276-289.
8. Conway CM, O'Shea D, O'Brien S, et al. The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line. BMC Bioinformatics. 2006;7:256.
9. Riber-Hansen R, Nyengaard JR, Hamilton-Dutoit SJ, et al. Automated digital volume measurement of melanoma metastases in sentinel nodes predicts disease recurrence and survival. Histopathology. 2011;59:433-440.
10. Gundersen HJ, Bendtsen TF, Korbo L, et al. Some new, simple and efficient stereological methods and their use in pathological research and diagnosis. APMIS. 1988;96:379-394.
11. Kamper P, Bendix K, Hamilton-Dutoit S, et al. Tumor-infiltrating macrophages correlate with adverse prognosis and Epstein-Barr virus status in classical Hodgkin's lymphoma. Haematologica. 2011;96:269-276.
12. Donnelly DJ, Gensel JC, Ankeny DP, et al. An efficient and reproducible method for quantifying macrophages in different experimental models of central nervous system pathology. J Neurosci Methods. 2009;181:36-44.
13. Boyce RW, Dorph-Petersen KA, Lyck L, et al. Designbased stereology: introduction to basic concepts and practical approaches for estimation of cell number. Toxicol Pathol. 2010;38: 1011-1025.
14. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1: 307-310.
15. Jensen TO, Riber-Hansen R, Schmidt H, et al. Tumor and inflammation markers in melanoma using tissue microarrays: a validation study. Melanoma Res. 2011;21:509-515.
16. Camp RL, Charette LA, Rimm DL. Validation of tissue microarray technology in breast carcinoma. Lab Invest. 2000;80: 1943-1949.
17. Fons G, van d V, Burger M, et al. Validation of tissue microarray technology in vulvar cancer. Int J Gynecol Pathol. 2009;28:76-82.
18. Nocito A, Bubendorf L, Tinner EM, et al. Microarrays of bladder cancer tissue are highly representative of proliferation index and histological grade. J Pathol. 2001;194:349-357.
19. Karlsson C, Bodin L, Piehl-Aulin K, et al. Tissue microarray validation: a methodologic study with special reference to lung cancer. Cancer Epidemiol Biomarkers Prev. 2009;18:2014-2021.
20. Leversha MA, Fielding P, Watson S, et al. Expression of p53, pRB, and p16 in lung tumours: a validation study on tissue microarrays. J Pathol. 2003;200:610-619.
21. Jourdan F, Sebbagh N, Comperat E, et al. Tissue microarray technology: validation in colorectal carcinoma and analysis of p53, hMLH1, and hMSH2 immunohistochemical expression. Virchows Arch. 2003;443:115-121.
22. Yang DT, Quann PJ, Petrich AM, et al. Use of tissue microarray and automated quantitative analysis for screening and validation of potential biomarkers in mantle cell lymphoma. Appl Immunohistochem Mol Morphol. 2011;19:62-69.
23. Hedvat CV, Hegde A, Chaganti RS, et al. Application of tissue microarray technology to the study of non-Hodgkin's and Hodgkin's lymphoma. Hum Pathol. 2002;33:968-974.
24. Keller SM, Keller BC, Grest P, et al. Validation of tissue microarrays for immunohistochemical analyses of canine lymphomas. J Vet Diagn Invest. 2007;19:652-659.
25. Went P, Agostinelli C, Gallamini A, et al. Marker expression in peripheral T-cell lymphoma: a proposed clinical-pathologic prognostic score. J Clin Oncol. 2006;24:2472-2479.
26. Zhan HQ, Li XQ, Zhu XZ, et al. Expression of follicular helper T cell markers in nodal peripheral T cell lymphomas: a tissue microarray analysis of 162 cases. J Clin Pathol. 2011;64:319-324.
27. Choi WW, Weisenburger DD, Greiner TC, et al. A new immunostain algorithm classifies diffuse large B-cell lymphoma into molecular subtypes with high accuracy. Clin Cancer Res. 2009;15:5494-5502.
28. Hans CP, Weisenburger DD, Greiner TC, et al. Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray. Blood. 2004; 103:275-282.
29. Rassidakis GZ, Jones D, Thomaides A, et al. Apoptotic rate in peripheral T-cell lymphomas. A study using a tissue microarray with validation on full tissue sections. Am J Clin Pathol. 2002;118:328-334.
30. de Jong D, Rosenwald A, Chhanabhai M, et al. Immunohistochemical prognostic markers in diffuse large B-cell lymphoma: validation of tissue microarray as a prerequisite for broad clinical applications- a study from the Lunenburg Lymphoma Biomarker Consortium. J Clin Oncol. 2007;25:805-812.
31. Cuadros M, Dave SS, Jaffe ES, et al. Identification of a proliferation signature related to survival in nodal peripheral T-cell lymphomas. J Clin Oncol. 2007;25:3321-3329.
32. Smolle J, Hofmann-Wellenhof R, Soyer HP, et al. Nuclear size and shape parameters correlate with proliferative activity in cutaneous melanocytic tumors. J Invest Dermatol. 1989;93:178-182.