Molecular differentiation of high- and moderate-grade human prostate cancer by cDNA microarray analysis

被引:34
作者
Best, CJM
Leiva, IM
Chuaqui, RF
Gillespie, JW
Duray, PH
Murgai, M
Zhao, YD
Simon, R
Kang, JJ
Green, JE
Bostwick, DG
Linehan, WM
Emmert-Buck, MR
机构
[1] NCI, Pathogenet Unit, Pathol Lab, NIH, Bethesda, MD 20892 USA
[2] NCI, Urol Oncol Branch, NIH, Bethesda, MD 20892 USA
[3] Pontificia Univ Catolica Chile, Santiago, Chile
[4] NCI, Sci Applicat Int Corp, Bethesda, MD 20892 USA
[5] NCI, Biomed Res Branch, Div Canc Treatment & Diag, Bethesda, MD 20892 USA
[6] NCI, Lab Cell Regulat & Carcinogenesis, Bethesda, MD 20892 USA
[7] Mayo Clin, Rochester, MI USA
[8] Bostwick Labs, Richmond, VA USA
关键词
aggressive prostate cancer; gene expression profiling; cDNA microarrays;
D O I
10.1097/00019606-200306000-00001
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The prognosis of men with moderate-grade prostate cancer is uncertain. At present, there are few if any reliable molecular markers that can distinguish moderate-grade tumors from those that behave more aggressively. To better understand the molecular basis of human prostate cancer and potentially provide information toward more accurate prognosis, we measured and analyzed gene expression profiles of 13 high- and moderate-grade human prostate tumors using cDNA microarrays. The expression of 136 genes was observed to differ significantly (P < 0.001) between normal prostate and tumors using one-sample t testing and Wilcoxon ranking. Hierarchical clustering of genes demonstrated a relatively similar pattern of differential expression across the tumors. However, importantly, permutation t tests (two-tailed P < 0.001) revealed 21 genes whose expression profiles segregated moderate- and high-grade tumors from each other, which was significantly (P < 0.03) Greater than what was expected by chance. These results were compared in silico with prostate cancer profiling efforts performed by other groups, including a meta-analysis of four data sets. which validated many of the dysregulated genes. We suggest that these data provide insight into the molecular nature of clinically aggressive prostate cancer.
引用
收藏
页码:63 / 70
页数:8
相关论文
共 41 条
[1]   Clusterin (SGP-2) transient overexpression decreases proliferation rate of SV40-immortalized human prostate epithelial cells by slowing down cell cycle progression [J].
Bettuzzi, S ;
Scorcioni, F ;
Astancolle, S ;
Davalli, P ;
Scaltriti, M ;
Corti, A .
ONCOGENE, 2002, 21 (27) :4328-4334
[2]  
BYRNE JA, 1995, CANCER RES, V55, P2896
[3]   Assignment of TACSTD1 (alias TROP 1, M4S1) to human chromosome 2p21 and refinement of mapping of TACSTD2 (alias TROP2, M1S1) to human chromosome 1p32 by in situ hybridization [J].
Calabrese, G ;
Crescenzi, C ;
Morizio, E ;
Palka, G ;
Guerra, E ;
Alberti, S .
CYTOGENETICS AND CELL GENETICS, 2001, 92 (1-2) :164-165
[4]   Synergy of demethylation and histone deacetylase inhibition in the re-expression of genes silenced in cancer [J].
Cameron, EE ;
Bachman, KE ;
Myöhänen, S ;
Herman, JG ;
Baylin, SB .
NATURE GENETICS, 1999, 21 (01) :103-107
[5]   Glutathione and glutathione S-transferase in benign and malignant prostate cell lines and prostate [J].
Canada, AT ;
Roberson, KM ;
Vessella, RL ;
Trump, DL ;
Robertson, CN ;
Fine, RL .
BIOCHEMICAL PHARMACOLOGY, 1996, 51 (01) :87-90
[6]   Expression of different 17 beta-hydroxysteroid dehydrogenase types and their activities in human prostate cancer cells [J].
Castagnetta, LAM ;
Carruba, G ;
Traina, A ;
Granata, OM ;
Markus, M ;
PavoneMacaluso, M ;
Blomquist, CH ;
Adamski, J .
ENDOCRINOLOGY, 1997, 138 (11) :4876-4882
[7]   Activated leukocyte cell adhesion molecule (ALCAM) and annexin II are involved in the metastatic progression of tumor cells after chemotherapy with Adriamycin [J].
Choi, S ;
Kobayashi, M ;
Wang, JX ;
Habelhah, H ;
Okada, F ;
Hamada, J ;
Moriuchi, T ;
Totsuka, Y ;
Hosokawa, M .
CLINICAL & EXPERIMENTAL METASTASIS, 2000, 18 (01) :45-50
[8]   SINGLE-STEP METHOD OF RNA ISOLATION BY ACID GUANIDINIUM THIOCYANATE PHENOL CHLOROFORM EXTRACTION [J].
CHOMCZYNSKI, P ;
SACCHI, N .
ANALYTICAL BIOCHEMISTRY, 1987, 162 (01) :156-159
[9]   Post-analysis follow-up and validation of microarray experiments [J].
Chuaqui, RF ;
Bonner, RF ;
Best, CJM ;
Gillespie, JW ;
Flaig, MJ ;
Hewitt, SM ;
Phillips, JL ;
Krizman, DB ;
Tangrea, MA ;
Ahram, M ;
Linehan, WM ;
Knezevic, V ;
Emmert-Buck, MR .
NATURE GENETICS, 2002, 32 (Suppl 4) :509-514
[10]   The genetics of cancer - a 3D model [J].
Cole, KA ;
Krizman, DB ;
Emmert-Buck, MR .
NATURE GENETICS, 1999, 21 (Suppl 1) :38-41