Analysis of gene amplification and prognostic markers in ovarian cancer using comparative genomic hybridization for microarrays and immunohistochemical analysis for tissue microarrays

被引:57
|
作者
Mayr, Doris
Kanitz, Veronika
Anderegg, Birgit
Luthardt, Beate
Engel, Jutta
Loehrs, Udo
Amann, Gudrun
Diebold, Joachim
机构
[1] Univ Munich, Inst Pathol, D-80337 Munich, Germany
[2] Merz Pharmaceut, Frankfurt, Germany
[3] Munich Tumour Registry, Puchheim, Germany
[4] Sloning Biotechnol, Puchheim, Germany
关键词
comparative genomic hybridization; CGH array; oncogenes; ovarian tumors; immunohistochemistry; cyclin E; tissue microarray;
D O I
10.1309/N6X5MB24BP42KP20
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
To identify oncogene amplification involved in ovarian carcinogenesis, we studied 21 ovarian carcinomas and 5 serous borderline tumors using conventional comparative genomic hybridization (CGH) and CGH to a genomic DNA microarray. Immunohistochemical analysis of the proteins encoded by the genes that were amplified frequently (FGF3/4, FGFR1, CCNE1, PAK1, JUNB and MDM2) was performed on a tissue microarray comprising 254 cases of ovarian neoplasms. Regarding histologic type, characteristic patterns of copy number changes were revealed. They correlated with histologic tumor type and with intratumoral heterogeneity. Gain of FGF3/4 and CCNE1 was found in all serous carcinomas. Endometrioid carcinomas most frequently showed gain of JUNB (83%), KRAS2 (67%), MYCN (50%), ESR (50%), and CCND2 (50%). Of the serous borderline tumors, 80% harbored amplification of FGFR1 and MDM2 and a 75% gain of PIK3CA. Only CCNE1 immunoreactivity was significantly correlated with CGH results (P < .05) and postoperative survival (P < .05). Microarray-based genomic analysis in combination with immunohistochemical analysis was found to be a powerful technique for identification of clinically relevant gene amplification in human ovarian cancer.
引用
收藏
页码:101 / 109
页数:9
相关论文
共 50 条
  • [41] Predicting biomarkers for ovarian cancer using gene-expression microarrays
    T R Adib
    S Henderson
    C Perrett
    D Hewitt
    D Bourmpoulia
    J Ledermann
    C Boshoff
    British Journal of Cancer, 2004, 90 : 686 - 692
  • [42] Genomic analysis of allograft dysfunction using cDNA microarrays.
    Sarwal, MM
    Chris, B
    Stella, C
    Xin, C
    Amir, B
    Oscar, S
    Patrick, B
    TRANSPLANTATION, 2000, 69 (08) : S381 - S381
  • [43] Utilization of tomato microarrays for comparative gene expression analysis in the Solanaceae
    Moore, S
    Payton, P
    Wright, M
    Tanksley, S
    Giovannoni, J
    JOURNAL OF EXPERIMENTAL BOTANY, 2005, 56 (421) : 2885 - 2895
  • [44] Genomic analysis of acute allograft rejection using DNA microarrays
    Barry, CT
    Sarwal, M
    Chang, S
    Salvatierra, O
    Brown, PO
    TRANSPLANTATION, 1999, 67 (09) : S581 - S581
  • [45] Epidermal Growth Factor Receptor Protein Expression and Gene Amplification in Normal, Hyperplastic, and Cancerous Glottic Tissue: Immunohistochemical and Fluorescent in Situ Hybridization Study on Tissue Microarrays
    Braut, Tamara
    Krstulja, Mira
    Kujundzic, Milodar
    Manestar, Dubravko
    Hadzisejdic, Ita
    Jonjic, Nives
    Grahovac, Blazenka
    Manestar, Darko
    CROATIAN MEDICAL JOURNAL, 2009, 50 (04) : 370 - 379
  • [46] Investigation of melanoma progression and identification of novel prognostic markers using comprehensive tissue microarrays
    Brown, E. R. S.
    Doig, T. N.
    Anderson, N.
    Doherty, V. R.
    Smyth, J. F.
    Melton, D. W.
    EJC SUPPLEMENTS, 2008, 6 (09): : 154 - 154
  • [47] Global analysis of gene expression using GeneChip microarrays
    Zhu, T
    CURRENT OPINION IN PLANT BIOLOGY, 2003, 6 (05) : 418 - 425
  • [48] Analysis of ovarian borderline tumors using comparative genomic hybridization and fluorescence in situ hybridization
    Wolf, NG
    Abdul-Karim, FW
    Farver, C
    Schröck, E
    du Manoir, S
    Schwartz, S
    GENES CHROMOSOMES & CANCER, 1999, 25 (04): : 307 - 315
  • [49] A prototype for unsupervised analysis of tissue microarrays for cancer research and diagnostics
    Chen, WJ
    Reiss, M
    Foran, DJ
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2004, 8 (02): : 89 - 96
  • [50] Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays
    Dobbin, KK
    Beer, DG
    Meyerson, M
    Yeatman, TJ
    Gerald, WL
    Jacobson, JW
    Conley, B
    Buetow, KH
    Heiskanen, M
    Simon, RN
    Minna, JD
    Girard, L
    Misek, DE
    Taylor, JMG
    Hanash, S
    Naoki, K
    Hayes, DN
    Ladd-Acosta, C
    Enkemann, SA
    Viale, A
    Giordano, TJ
    CLINICAL CANCER RESEARCH, 2005, 11 (02) : 565 - 572