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Molecular Oncology, Markers, Clinical Correlates |
Department of Gynecology, University of Basel, CH-4031 Basel [A. D.], and Institute for Pathology, University of Basel, CH-4003 Basel [J. T., E. S., M. J. M., H. M.], Switzerland
| ABSTRACT |
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Experimental Design: In this study, comparative genomic hybridization was applied to screen for specific DNA copy number gains and losses in 20 pT1/pT2 node-negative invasive ductal carcinomas with no disease recurrence with at least 8 years of follow-up and in 20 pT1/pT2 node-negative tumors with distant disease recurrence.
Results: The number of genomic aberrations (copy number gains and losses) per tumor was significantly higher in tumors with disease recurrence (P < 0.05). The number of genomic aberrations was associated with histological grade (P < 0.02). Within the group of tumors with disease recurrence, the total number of genetic aberrations per tumor (P < 0.02) and the number of DNA sequence losses per tumor (P < 0.01) were significantly associated with poor survival. Of the individual loci involved, only losses at chromosomes 11p (P < 0.002) and 18q (P < 0.004) were associated with poor survival in the recurrence group. Histological grade and loss of 18q were independent prognostic variables in multivariate analysis.
Conclusions: This genome-wide analysis by comparative genomic hybridization suggests that node-negative ductal breast cancers with a high number of genomic aberrations have an increased risk of disease recurrence. The number of DNA sequence losses, particularly losses of chromosomes 11p and 18q, were associated with poor prognosis. Genes on chromosomes 11p and 18q may play a role in the progression of ductal breast carcinoma.
| INTRODUCTION |
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Previous cytogenetic studies have detected several structural and numerical chromosomal abnormalities in primary breast cancer. CGH3 allows the detection of DNA copy number changes across the genome and is applicable to all tumors regardless of their mitotic activity or the complexity of chromosomal changes (4) . CGH enables the detection of DNA sequence copy number changes if the affected region spans >10 Mb (5 , 6) . LOH analyses may detect smaller aberrations in specific regions than CGH (7) , but LOH analyses cannot distinguish DNA losses from amplifications and cannot be applied on a genome-wide scale. Therefore, CGH has opened interesting possibilities for the understanding of oncogenesis of solid tumors because copy number changes are important indicators of cancer-related genes in these chromosomal regions. CGH has been applied in several breast cancer studies (8, 9, 10, 11, 12) and considerable molecular and chromosomal data are now available (13 , 14) . However, little is known about the relationship of chromosomal aberrations to the clinical behavior of the tumor and therefore to prognosis. Isola et al. (10) showed in a pilot study that DNA copy number changes are associated with clinical outcome in lymph node-negative breast cancer.
The aims of this study were to test the ability of CGH to predict the patient outcome in archived pT1 and pT2 node-negative invasive ductal breast carcinoma tissue specimens. CGH was also used to identify specific chromosomal loci associated with poor prognosis. The tumors were stratified according to the recurrence status, the histological grade, and the tumor size.
| MATERIALS AND METHODS |
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Local treatment was lumpectomy with postoperative irradiation of the breast or mastectomy. No systemic adjuvant treatment was given in these patients (start of treatment between 1982 and 1990) because systemic adjuvant treatment for node-negative breast cancer was not recommended at that time (18) .
Follow-up information, information about metastasis, and causes of death were obtained from the Department of Gynecology and/or from the Basel Cancer Registry. Survival time was available for all patients. Survival time was calculated from the time of biopsy diagnosis to death of patients with distant metastases.
Tissue Preparation.
Tissue probes of 40 invasive ductal carcinomas and the axillary lymph nodes were fixed in 4% buffered formalin, embedded in paraffin, and routinely stained for histological diagnosis. Specimens were trimmed to enrich for tumor cells by excising tumor tissue from the paraffin block. The excised tumor tissue was re-embedded in a paraffin block. Five-µm tissue sections were cut from these tumor blocks. The first and the last sections were stained with H&E to verify the presence of at least 75% tumor cells in the sample. Genomic DNA was isolated by proteinase K extraction according to standard protocols.
DNA Preparation.
CGH analysis was performed as described (4
, 19)
. Briefly, 20-µm-thick sections were deparaffinized and suspended in DNA extraction buffer containing 0.5 mg/ml proteinase K. Additional proteinase K was added 24 and 48 h later, for a total incubation time of 72 h. Two µg of tumor DNA were nick translated by a commercial kit (BioNick kit; Life Technologies, Inc., Gaithersburg, MD) with SpectrumGreen Direct-Labeled Total Human Genomic dUTPs (Vysis, Inc., Downers Grove, IL) for direct labeling of tumor DNA. SpectrumRed-labeled normal reference DNA (Vysis) was used for cohybridization.
CGH and Digital Image Analysis.
The hybridization mixture consisted of 200 ng of SpectrumGreen-labeled tumor DNA, 200 ng of SpectrumRed-labeled normal reference DNA, and 20 µg of human Cot-1 DNA (Life Technologies, Inc.) dissolved in 10 µl of hybridization buffer [50% formamide-10% dextran sulfate-2x SSC (pH 7.0)]. Hybridization was performed over 3 days at 37°C to normal metaphase spreads (Vysis). Posthybridization washes were performed as described previously. Digital images were collected from six to seven metaphases by a Photometrics cooled CCD camera (Microimager 1400; Xillix Technologies, Vancouver, British Columbia, Canada) and a Sun workstation. The Vysis software program was used to calculate average green-to-red ratio profiles for each chromosome. At least four observations per autosome and at least two observations per sex chromosome were included in each analysis, according to previous recommendations by Kallioniemi et al. (6)
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Controls and Threshold Definitions.
CGH experiments included a tumor cell line (SpectrumGreen-labeled MPE-600 DNA; Vysis) with known aberrations (positive control) and a hybridization of two differentially labeled sex-mismatched normal DNAs to each other (negative control). Sex-mismatched normal controls were also used to test the ability of each metaphase batch to allow for a linear relationship between fluorescence intensities and DNA sequence copy numbers. Metaphases were used only if the color ratio of sex-mismatched normal DNAs was
0.66 at the X chromosome. The thresholds used for definition of DNA sequence copy number gains and losses were based on the results of CGH analyses of formalin-fixed normal tissues. Gains of DNA sequences were defined as chromosomal regions where both the mean green to red fluorescence ratio and its SD were >1.20, whereas losses were defined as regions where both the mean and its SD were <0.80. Overrepresentations were considered amplifications when the fluorescence ratio values in a subregion of a chromosome arm exceeded 1.5. In negative control hybridizations, the mean green-to-red ratio occasionally exceeded the fixed 1.2 cutoff level at the following chromosomal regions: 1p32-pter, 16p, 19, and 22. These known GC-rich regions were therefore excluded from all analyses.
Immunohistochemistry.
A monoclonal mouse antibody to keratin (Cocktail CK22; Biømeda, Foster City, CA) was used for the detection of micrometastases in axillary lymph nodes. The incubation was performed according to the standard procedure of the ABC method and the protocol instructions provided by Biømeda. Sections were counterstained with hematoxylin, dehydrated, and finally, mounted with Crystall/Mount (Biømeda).
Statistics.
Results are given as mean values and SD. Relationships between categorical features and counts were evaluated by the nonparametric method of the Mann-Whitney U test. Multiple comparisons were performed by Fishers test. Contingency table analysis was used to analyze the correlations among ductal carcinomas with and without distant disease recurrence, histological grade, and TNM stage. Survival was defined as the time between primary treatment and death with distant metastases. Patients who survived were censored at the time of last follow-up. Survival analysis was completed using the Kaplan-Meier method with a log-rank test. The median values of the numbers of DNA aberrations, i.e., DNA sequence losses or gains, were used as cutoff points to define patients with high and low numbers of corresponding aberrations. A Cox proportional hazards analysis was used to test for independent prognostic information. Statistical analyses were performed by use of the StatView 4.5 Software program (Abacus Concepts).
| RESULTS |
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2 test, P < 0.02).
Overview of Genomic Changes in Node-negative Breast Carcinoma.
Genetic aberrations were detected by CGH in all tumors. The chromosomal aberrations are summarized in Fig. 1
. DNA aberrations occurred across the entire genome. Copy number gains were most frequently identified on chromosomes 17q, 1q, and 20q, whereas copy number losses were most frequently detected on chromosomes 13q, 4q, 6q, and 9p (Table 2)
. The frequency of copy number changes varied across the genome with chromosomes showing a high frequency of aberrations, as mentioned above, and chromosomes with infrequent changes, such as 5p, 6p, 7p, 10p, and 12p. There was a difference in the number of gains and losses per tumor when tumors with and without relapse were compared (Table 3)
. In tumors without disease recurrence, the total number of aberrations was 9.3 ± 5.2, the frequency of copy number gains was 2.6 ± 1.9, and the frequency of copy number losses was 6.7 ± 3.9. In tumors with disease recurrence, the total number of aberrations (13.3 ± 5.3), the number of losses (9.5 ± 4.4), and the number of gains (3.8 ± 1.8) were significantly higher (Fishers test, P < 0.05) than in tumors without disease recurrence. When tumors were grouped according to histological grade (grade I/II versus grade III), the number of genomic aberrations was significantly lower in grade I/II (P < 0.01) than in grade III tumors (Table 3)
. When individual chromosomal loci were tested, there were significantly more copy number losses on chromosome 9q in grade III tumors (
2 test, P < 0.03). Grade I and II tumors showed no losses on 9q.
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| DISCUSSION |
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DNA copy number losses in chromosomes 18q and 11p were associated with poor prognosis. To date, three candidate tumor suppressor genes, including DCC (20) , DPC4 (21) , and MADR2 (22) , have been identified on the long arm of chromosome 18. Two of these genes, DPC4 and MADR2, are particularly interesting because they are important mediators in the TGF-ß pathway. Recently, TGF-ß has been shown to be a tumor suppressor involved in breast cancer tumorigenesis (23 , 24) . The tumor-suppressive effects of TGF-ß are caused by potent inhibition of cell proliferation via cell cycle arrest in the G1 phase. Furthermore, it has been demonstrated that TGF-ß inhibits telomerase activity (25) . Zimonjic et al. (26) described an increased tumorigenicity in breast carcinoma cell lines with DNA copy number losses on chromosome 18q. LOH on 18q has been previously reported in 65% of 228 analyzed primary breast cancers (27) . This high frequency of 18q losses compared with our study might be explained by a higher sensitivity of LOH analyses and by the higher number of advanced tumors in their study. The authors concluded that there might be three separate LOH target regions on 18q that are associated with unfavorable clinicopathological features. These data also show that gene alterations on 18q might contribute to a more aggressive tumor cell phenotype in invasive ductal breast cancer.
Chromosome 11 is the second most frequent chromosome with structural or numerical aberrations in breast cancer (28) . The significant difference in disease-specific survival between tumors with and without 11p losses suggests that a tumor suppressor gene on 11p is involved in ductal carcinoma progression. In two recent reports, a correlation between LOH on two loci at 11p15.5-p15.4 and the presence of metastasis was described (29 , 30) . Future studies using DNA chips may soon identify other potential target genes on the chromosomes 18q and 11p.
In this study, progression-linked genomic aberrations were identified from formalin-fixed, paraffin-embedded material by CGH. Outcome-related genomic aberrations have been also identified by CGH for other tumors, including renal cell carcinoma (31) , cervical carcinoma (19) , neuroblastoma (32) , and others. CGH is primarily a screening method that will not find all copy number alterations. However, the detection of specific chromosomal regions with prognostic importance facilitates the interpretation of DNA microarray experiments. Such experiments normally result in hundreds of candidate genes. The knowledge of chromosomal regions with relation to outcome can narrow the number of candidate genes for further analysis (33 , 34) . Such target genes would allow a better risk assessment for the individual woman.
The finding of significant genomic differences in specific tumor grades is in agreement with recent CGH data showing fewer aberrations in grade I and II tumors compared with grade III tumors (9 , 12) . This is consistent with the model that tumor progression is related to an accumulation of DNA aberrations. The different numbers of 9q aberrations in grade I/II and grade III tumors give a new insight into progression-related events because 9q losses have been rarely described in breast cancer.
In conclusion, we describe a strong association between the number of genomic aberrations detected by CGH and the recurrence risk in node-negative invasive ductal breast carcinomas. In addition, we identified individual chromosome loci associated with unfavorable outcome in breast cancer. Multivariate analysis revealed that histological grade and DNA sequence losses of 18q were independent prognostic parameters in this set of early-stage node-negative ductal breast cancers. The results of the present study indicate that chromosomes 11p and 18q are chromosomal loci that may harbor important tumor suppressor genes for ductal breast cancer progression.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 This work was supported by the Basel Cancer League, Basel, Switzerland (Grant GN 12/97) and by the Swiss Foundation for Cancer Research. ![]()
2 To whom requests for reprints should be addressed, at Oberer Batterieweg 39, CH-4059 Basel, Switzerland. Phone: 4161-363 3461; Fax: 4161-363 3461; E-mail: a.dellas{at}unibas.ch ![]()
3 The abbreviations used are: CGH, comparative genomic hybridization; LOH, loss of heterozygosity; TGF-ß, transforming growth factor ß. ![]()
Received 10/11/01; revised 1/10/02; accepted 1/23/02.
| REFERENCES |
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