Profiling and classification tree applied to renal epithelial tumours

被引:51
作者
Allory, Y. [1 ]
Bazille, C. [1 ,2 ]
Vieillefond, A. [1 ,3 ]
Molinie, V. [1 ,4 ]
Cochand-Priollet, B. [1 ,2 ]
Cussenot, O. [1 ,5 ]
Callard, P. [1 ,6 ]
Sibony, M. [1 ,6 ]
机构
[1] Hop Henri Mondor, INSERM, AP HP, IMRB U841,Dept Pathol, F-94010 Creteil, France
[2] Hop Lariboisiere, Serv Anat & Cytol Pathol, F-75475 Paris, France
[3] Hop Cochin, Serv Anat & Cytol Pathol, F-75674 Paris, France
[4] Hop St Joseph, Anat Pathol Lab, F-75674 Paris, France
[5] Hop Tenon, Serv Urol, F-75970 Paris, France
[6] Serv Anat Pathol, F-75970 Paris, France
关键词
chromophobe cell carcinoma; classification tree; clear cell carcinoma; immunohistochemistry; oncocytoma; papillary carcinoma; renal tumour;
D O I
10.1111/j.1365-2559.2007.02900.x
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Aims: Selection of the relevant combination from a growing list of candidate immunohistochemical biomarkers constitutes a real challenge. The aim was to establish the minimal subset of antibodies to achieve classification on the basis of 12 antibodies and 309 renal tumours. Methods and results: Seventy-nine clear cell (CC), 88 papillary (PAP) and 50 chromophobe (CHRO) renal cell carcinomas, and 92 oncocytomas (ONCO) were immunostained for renal cell carcinoma antigen, vimentin, cytokeratin (CK) AE1-AE3, CK7, CD10, epithelial membrane antigen, alpha-methylacyl-CoA racemase (AMACR), c-kit, E-cadherin, Bcl-1, aquaporin 1 and mucin-1 and analysed by tissue microarrays. First, unsupervised hierarchical clustering performed with immunohistochemical profiles identified four main clusters-cluster 1 (CC 67%), 2 (PAP 98%), 3 (CHRO 67%) and 4 (ONCO 100%)-demonstrating the intrinsic classifying potential of immunohistochemistry. A series of classification trees was then automatically generated using Classification And Regression Tree software. The most powerful of these classification trees sequentially used AMACR, CK7 and CD10 (with 86% CC, 87% PAP, 79% CHRO and 78% ONCO correctly classified in a leave-one-out cross-validation test). The classifier was also helpful in 22/30 additional cases with equivocal features. Conclusion: The classification tree method using immunohistochemical profiles can be applied successfully to construct a renal tumour classifier.
引用
收藏
页码:158 / 166
页数:9
相关论文
共 40 条
[1]   Chromophobe renal cell carcinoma: a comparative study of histological, immunohistochemical and ultrastructural features using high throughput tissue microarray [J].
Abrahams, NA ;
MacLennan, GT ;
Khoury, JD ;
Ormsby, AH ;
Tamboli, P ;
Doglioni, C ;
Schumacher, B ;
Tickoo, SK .
HISTOPATHOLOGY, 2004, 45 (06) :593-602
[2]   Prognostic impact of histologic Subtyping of adult renal epithelial neoplasms - An experience of 405 cases [J].
Amin, MB ;
Amin, MB ;
Tamboli, P ;
Javidan, J ;
Stricker, H ;
Venturina, MD ;
Deshpande, A ;
Menon, M .
AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 2002, 26 (03) :281-291
[3]   Use of antibodies to RCC and CD10 in the differential diagnosis of renal neoplasms [J].
Avery, AK ;
Beckstead, J ;
Renshaw, AA ;
Corless, CL .
AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 2000, 24 (02) :203-210
[4]   Immunohistochemical characterisation of the main histologic subtypes of epithelia renal tumors on tissue-microarrays.: A study of 310 cases [J].
Bazille, C ;
Allory, Y ;
Molinié, V ;
Vieillefond, A ;
Cochand-Priollet, A ;
Cussenot, O ;
Callard, P ;
Sibony, M .
ANNALES DE PATHOLOGIE, 2004, 24 (05) :395-406
[5]   High-throughput microarray technologies: From genomics to clinics [J].
Bubendorf, L .
EUROPEAN UROLOGY, 2001, 40 (02) :231-238
[6]   History of the development of the classification of renal cell neoplasia [J].
Delahunt, B ;
Eble, JN .
CLINICS IN LABORATORY MEDICINE, 2005, 25 (02) :231-+
[7]  
Eble J., 2004, WHO CLASSIFICATION T
[8]   C-kit expression in renal oncocytomas and chromophobe renal cell carcinomas [J].
Huo, L ;
Sugimura, J ;
Tretiakova, MS ;
Patton, KT ;
Gupta, R ;
Popov, B ;
Laskin, WB ;
Yeldandi, A ;
Teh, BT ;
Yang, XMJ .
HUMAN PATHOLOGY, 2005, 36 (03) :262-268
[9]   Tissue microarray technology for high-throughput molecular profiling of cancer [J].
Kallioniemi, OP ;
Wagner, U ;
Kononen, J ;
Sauter, G .
HUMAN MOLECULAR GENETICS, 2001, 10 (07) :657-662
[10]   Immunohistochemical profile of common epithelial neoplasms arising in the kidney [J].
Kim, MK ;
Kim, S .
APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY, 2002, 10 (04) :332-338