Classification of Renal Neoplasms Based on Molecular Signatures

Ximing J. Yang, Jun Sugimura, Kristian T. Schafernak, Maria S. Tretiakova, Misop Han, Nicholas J. Vogelzang, Kyle Furge, Bin Tean Teh

Research output: Contribution to journalArticle

Abstract

Purpose: Gene expression microarray studies have demonstrated distinct molecular signatures for different types of renal neoplasms based on overall gene expression patterns. However, in most of these studies the investigators used renal tumors with defined histology. We analyzed a test set of renal tumors in double-blind fashion using recently established molecular profiles of renal tumors as benchmarks. Materials and Methods: A total of 16 consecutive nephrectomies performed for neoplasms at a single urological service were subjected to gene expression profiling using cDNA chips containing 21,632 genes. Analysis was clustered with our previously established molecular profiles of 91 histologically defined kidney neoplasms and comparative genomic microarray analysis while blinded to tumor histology and clinical information. Results: With molecular analysis 9, 4, 2 and 1 tumors were classified as clear cell, papillary RCC, chromophobe RCC, and renal oncocytoma, respectively. Histopathological evaluation was concordant in 14 tumors. One of the 2 tumors with a discrepancy between molecular and pathological diagnoses was composed of oncocytoma and high grade clear cell RCC, and the other was chromophobe RCC that histologically mimicked papillary RCC. Conclusions: We report the feasibility of the molecular diagnosis and classification of unknown renal neoplasms. Molecular diagnosis appears to be reliable and comparable to the standard of urological pathology. This molecular method may be a potentially useful test for establishing an accurate diagnosis that can impact clinical management.

Original languageEnglish (US)
Pages (from-to)2302-2306
Number of pages5
JournalJournal of Urology
Volume175
Issue number6
DOIs
StatePublished - Jun 2006
Externally publishedYes

Fingerprint

Kidney Neoplasms
Neoplasms
Kidney
Histology
Oxyphilic Adenoma
Gene Expression
Benchmarking
Gene Expression Profiling
Microarray Analysis
Nephrectomy
Complementary DNA
Research Personnel
Pathology

Keywords

  • carcinoma
  • complementary
  • DNA
  • kidney
  • microarray analysis
  • renal cell

ASJC Scopus subject areas

  • Urology

Cite this

Yang, X. J., Sugimura, J., Schafernak, K. T., Tretiakova, M. S., Han, M., Vogelzang, N. J., ... Teh, B. T. (2006). Classification of Renal Neoplasms Based on Molecular Signatures. Journal of Urology, 175(6), 2302-2306. https://doi.org/10.1016/S0022-5347(06)00255-2

Classification of Renal Neoplasms Based on Molecular Signatures. / Yang, Ximing J.; Sugimura, Jun; Schafernak, Kristian T.; Tretiakova, Maria S.; Han, Misop; Vogelzang, Nicholas J.; Furge, Kyle; Teh, Bin Tean.

In: Journal of Urology, Vol. 175, No. 6, 06.2006, p. 2302-2306.

Research output: Contribution to journalArticle

Yang, XJ, Sugimura, J, Schafernak, KT, Tretiakova, MS, Han, M, Vogelzang, NJ, Furge, K & Teh, BT 2006, 'Classification of Renal Neoplasms Based on Molecular Signatures', Journal of Urology, vol. 175, no. 6, pp. 2302-2306. https://doi.org/10.1016/S0022-5347(06)00255-2
Yang XJ, Sugimura J, Schafernak KT, Tretiakova MS, Han M, Vogelzang NJ et al. Classification of Renal Neoplasms Based on Molecular Signatures. Journal of Urology. 2006 Jun;175(6):2302-2306. https://doi.org/10.1016/S0022-5347(06)00255-2
Yang, Ximing J. ; Sugimura, Jun ; Schafernak, Kristian T. ; Tretiakova, Maria S. ; Han, Misop ; Vogelzang, Nicholas J. ; Furge, Kyle ; Teh, Bin Tean. / Classification of Renal Neoplasms Based on Molecular Signatures. In: Journal of Urology. 2006 ; Vol. 175, No. 6. pp. 2302-2306.
@article{c94b824c15d34c99b83f9996ed800ed3,
title = "Classification of Renal Neoplasms Based on Molecular Signatures",
abstract = "Purpose: Gene expression microarray studies have demonstrated distinct molecular signatures for different types of renal neoplasms based on overall gene expression patterns. However, in most of these studies the investigators used renal tumors with defined histology. We analyzed a test set of renal tumors in double-blind fashion using recently established molecular profiles of renal tumors as benchmarks. Materials and Methods: A total of 16 consecutive nephrectomies performed for neoplasms at a single urological service were subjected to gene expression profiling using cDNA chips containing 21,632 genes. Analysis was clustered with our previously established molecular profiles of 91 histologically defined kidney neoplasms and comparative genomic microarray analysis while blinded to tumor histology and clinical information. Results: With molecular analysis 9, 4, 2 and 1 tumors were classified as clear cell, papillary RCC, chromophobe RCC, and renal oncocytoma, respectively. Histopathological evaluation was concordant in 14 tumors. One of the 2 tumors with a discrepancy between molecular and pathological diagnoses was composed of oncocytoma and high grade clear cell RCC, and the other was chromophobe RCC that histologically mimicked papillary RCC. Conclusions: We report the feasibility of the molecular diagnosis and classification of unknown renal neoplasms. Molecular diagnosis appears to be reliable and comparable to the standard of urological pathology. This molecular method may be a potentially useful test for establishing an accurate diagnosis that can impact clinical management.",
keywords = "carcinoma, complementary, DNA, kidney, microarray analysis, renal cell",
author = "Yang, {Ximing J.} and Jun Sugimura and Schafernak, {Kristian T.} and Tretiakova, {Maria S.} and Misop Han and Vogelzang, {Nicholas J.} and Kyle Furge and Teh, {Bin Tean}",
year = "2006",
month = "6",
doi = "10.1016/S0022-5347(06)00255-2",
language = "English (US)",
volume = "175",
pages = "2302--2306",
journal = "Journal of Urology",
issn = "0022-5347",
publisher = "Elsevier Inc.",
number = "6",

}

TY - JOUR

T1 - Classification of Renal Neoplasms Based on Molecular Signatures

AU - Yang, Ximing J.

AU - Sugimura, Jun

AU - Schafernak, Kristian T.

AU - Tretiakova, Maria S.

AU - Han, Misop

AU - Vogelzang, Nicholas J.

AU - Furge, Kyle

AU - Teh, Bin Tean

PY - 2006/6

Y1 - 2006/6

N2 - Purpose: Gene expression microarray studies have demonstrated distinct molecular signatures for different types of renal neoplasms based on overall gene expression patterns. However, in most of these studies the investigators used renal tumors with defined histology. We analyzed a test set of renal tumors in double-blind fashion using recently established molecular profiles of renal tumors as benchmarks. Materials and Methods: A total of 16 consecutive nephrectomies performed for neoplasms at a single urological service were subjected to gene expression profiling using cDNA chips containing 21,632 genes. Analysis was clustered with our previously established molecular profiles of 91 histologically defined kidney neoplasms and comparative genomic microarray analysis while blinded to tumor histology and clinical information. Results: With molecular analysis 9, 4, 2 and 1 tumors were classified as clear cell, papillary RCC, chromophobe RCC, and renal oncocytoma, respectively. Histopathological evaluation was concordant in 14 tumors. One of the 2 tumors with a discrepancy between molecular and pathological diagnoses was composed of oncocytoma and high grade clear cell RCC, and the other was chromophobe RCC that histologically mimicked papillary RCC. Conclusions: We report the feasibility of the molecular diagnosis and classification of unknown renal neoplasms. Molecular diagnosis appears to be reliable and comparable to the standard of urological pathology. This molecular method may be a potentially useful test for establishing an accurate diagnosis that can impact clinical management.

AB - Purpose: Gene expression microarray studies have demonstrated distinct molecular signatures for different types of renal neoplasms based on overall gene expression patterns. However, in most of these studies the investigators used renal tumors with defined histology. We analyzed a test set of renal tumors in double-blind fashion using recently established molecular profiles of renal tumors as benchmarks. Materials and Methods: A total of 16 consecutive nephrectomies performed for neoplasms at a single urological service were subjected to gene expression profiling using cDNA chips containing 21,632 genes. Analysis was clustered with our previously established molecular profiles of 91 histologically defined kidney neoplasms and comparative genomic microarray analysis while blinded to tumor histology and clinical information. Results: With molecular analysis 9, 4, 2 and 1 tumors were classified as clear cell, papillary RCC, chromophobe RCC, and renal oncocytoma, respectively. Histopathological evaluation was concordant in 14 tumors. One of the 2 tumors with a discrepancy between molecular and pathological diagnoses was composed of oncocytoma and high grade clear cell RCC, and the other was chromophobe RCC that histologically mimicked papillary RCC. Conclusions: We report the feasibility of the molecular diagnosis and classification of unknown renal neoplasms. Molecular diagnosis appears to be reliable and comparable to the standard of urological pathology. This molecular method may be a potentially useful test for establishing an accurate diagnosis that can impact clinical management.

KW - carcinoma

KW - complementary

KW - DNA

KW - kidney

KW - microarray analysis

KW - renal cell

UR - http://www.scopus.com/inward/record.url?scp=33646349993&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33646349993&partnerID=8YFLogxK

U2 - 10.1016/S0022-5347(06)00255-2

DO - 10.1016/S0022-5347(06)00255-2

M3 - Article

VL - 175

SP - 2302

EP - 2306

JO - Journal of Urology

JF - Journal of Urology

SN - 0022-5347

IS - 6

ER -