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. Author manuscript; available in PMC: 2011 Nov 1.
Published in final edited form as: Mod Pathol. 2011 Jan 14;24(5):638–645. doi: 10.1038/modpathol.2010.230

Amplification of The ch19p13.2 NACC1 Locus in Ovarian High-grade Serous Carcinoma

Ie-Ming Shih 1,*, Kentaro Nakayama 2, Gang Wu 3, Naomi Nakayama 2, Jinghui Zhang 3, Tian-Li Wang 1,*
PMCID: PMC3085564  NIHMSID: NIHMS255771  PMID: 21240255

Abstract

Based on digital karyotyping, we have identified a new, discrete amplified region at ch19p13.2 in a high-grade ovarian serous carcinoma. To further characterize this region, we determined the frequency and biological significance of ch19p13.2 amplification by analyzing 341 high-grade serous carcinomas from The Cancer Genome Atlas (TCGA) and found an increased DNA copy number at this locus in 18% of cases. We correlated the DNA and RNA copy number by analyzing the TCGA dataset for all amplified genes and detected 7 genes within ch19p13.2 that were significantly correlated (R ≥0.54) and were, in fact, listed as the top 100 potential “driver” genes at a genome-wide scale. Interestingly, one of the 7 genes, NACC1, encoding NAC1 was previously reported to be involved in the development of tumor recurrence in ovarian serous carcinoma and to play a causal role in the development of paclitaxel resistance. Therefore, we selected NACC1 for validation in an independent cohort. Based on fluorescence in situ hybridization, we found that 35 (20%) of 175 high-grade serous carcinomas had an increased DNA copy number at the NACC1 locus, and those amplified cases were associated with early disease recurrence within 6 months (p= 0.013). A significantly high level of NAC1 protein expression based on immunohistochemistry was detected in amplified tumors as compared to non-amplified tumors (p< 0.005). In summary, our data suggest that amplification at the ch19p13.2 NACC1 locus, leading to NAC1 overexpression, is one of the molecular genetic alterations associated with early tumor recurrence in ovarian cancer.

INTRODUCTION

Epithelial ovarian cancer is the most aggressive gynecologic malignancy. Ovarian cancer is composed of a diverse group of tumors that can be classified according to their distinctive morphologic and molecular features (1). Among them, high-grade serous carcinoma represents the major tumor type associated with frequent tumor recurrence and high mortality. In contrast to other subtypes, high-grade serous carcinomas are highly aggressive, evolve rapidly, and almost always present at advanced stage. Several studies have analyzed global DNA copy number alterations specifically in different types of ovarian epithelial carcinomas (2–8). The results from these reports indicate that high-grade serous carcinomas are characterized by higher levels of sub-chromosomal gains and losses than clear cell carcinoma, low-grade serous carcinomas, and their precursor lesions, serous borderline tumors. This finding suggests that chromosomal instability is more pronounced in high-grade serous carcinomas than other types of ovarian cancer.

To identify new cancer-associated genes that may participate in the pathogenesis of ovarian high-grade serous carcinoma, we have previously applied digital karyotyping (9) and, subsequently, SNP arrays to analyze somatic genome-wide DNA copy number alterations in purified ovarian high-grade serous carcinoma samples (2, 4, 10). As a result, in addition to several previously known amplified chromosomal regions containing CCNE1, AKT2, and PIK3CA loci, we identified several new amplified loci including chromosome (ch)11q13.5 harboring Rsf-1 (HBXAP) (11), chr19p13.12 harboring NOTCH3 (12), and regions at chr12p13, chr8q24 and chr19p13.2. Those regions containing known tumor-associated genes were validated using dual color fluorescence in situ hybridization (FISH) in an independent set of ovarian carcinomas (4). The purpose of this report is to study a previously uncharacterized amplified region at ch19p13.2. Based on digital karyotypic analysis in a limited set of clinical samples, we detected a discrete amplicon located at ch19p13.2 which has not been previously reported in ovarian cancer. This amplicon appears to be relatively large, encompassing 1.92 Mb and containing at least 60 coding sequences, which poses challenges for further investigation to identify the cancer “driver” gene(s) within this amplified region. Several genome database resources such as The Cancer Genome Atlas (TCGA) have recently become available for public access, providing a hitherto unavailable opportunity for molecular genetic discovery in cancer. In this study, we take the advantage of the emerging dataset of the TCGA to simultaneously analyze mRNA and genomic DNA copy numbers for all genes within the digital karyotyping-defined ch9p13.2 amplicon in a large set of high-grade serous carcinomas. This approach enabled us to distinguish cancer “driver” genes from co-amplified “passenger” genes. We then validated our results using fluorescence in situ hybridization and immunohistochemistry in an independent set of ovarian carcinomas.

MATERIALS AND METHODS

Analysis of The Cancer Genome Atlas database

Copy number variations of the ch9p13.2 amplicon in 343 ovarian tumor samples and paired normal samples were characterized using the Affymetrix SNP6.0 array by the Broad Institute (Boston). The intensity and log2 ratios for each probe set on the SNP array were downloaded from The Cancer Genome Atlas Data Portal (http://tcga-data.nci.nih.gov/tcga/). Somatic copy number alterations were analyzed using the Circular Binary Segmentation (CBS) algorithm (13) with R package “DNACopy” (version 1.14.0, default setting). Regions with focal somatic copy number alterations were identified by GISTIC analysis in GenePattern (http://www.broadinstitute.org/cancer/software/ genepattern/) (14). Expression analysis of 377 ovarian tumor samples was performed using the Affymetrix Human Exon 1.0 ST Array by the Lawrence Berkeley Laboratory. The CEL files were downloaded from the TCGA Data Portal. The probe set signals were summarized as RMA scores with Affymetrix Power Tools (http://www.affymetrix.com/partners_programs/programs/developer/tools/ powertools.affx). The locations of all probe sets were obtained from the Affymetrix annotation file (HuEx-1_0-stv2.na29.hg18.probeset.csv). A total of 8,101 core probe sets (representing 590 genes) located at the regions with focal somatic copy number alterations were selected for expression-copy number correlation analysis. Copy number data and exon-array data were available for 341 cases; therefore this sample set was used for analysis in this study. For these samples, Pearson correlation coefficients were calculated using the expression of each probe set and its corresponding copy number across the 341 cases. The distribution of correlation coefficients of all 8,101 probe sets is bimodal, separating the genes (probe sets) with no correlation (correlation coefficient below 0.2) from those that show correlations between DNA copy number and RNA expression.

Fluorescence in situ hybridization

A total of 175 ovarian high-grade serous carcinomas were analyzed for DNA copy number within the ch19p13.2 region using two-color fluorescence in situ hybridization (FISH). Stage III or IV tumor tissues from patients treated at the Johns Hopkins Hospital were originally retrieved from the Department of Pathology at the Johns Hopkins Hospital. The acquisition of the anonymous tissue specimens for this study was approved by the Johns Hopkins Institutional Review Board. The tissues were arranged in tissue microarrays to facilitate FISH and immunohistochemistry procedures. BAC clones (RP11-356L15 and CTD-2508D10) containing the genomic sequences of the ch19p13.2 amplicon were purchased from Bacpac Resources (Childrens' Hospital, Oakland, CA) and Invitrogen (Carlsbad, CA). Bac clones located at ch19p12 (CTD-2518O18) were used to generate reference probes. The method for FISH was previously described (15). The hybridization signals were counted by two individuals. Signal ratios of experimental probe/reference probe greater than 2.5 were considered as gain, and signal ratios of experimental probe/reference greater than 3.5 were considered as high-fold amplification. At least 50 nuclei were counted for each specimen.

Immunohistochemistry

The NAC1 mouse monoclonal antibody used for immunohistochemistry was purchased from Novus Biologicals (Littleton, CO). The specificity of the antibody was previous demonstrated (16). Paraffin sections from the same tissue microarrays as used for FISH were deparaffinized and pretreated with low pH citrate buffer in a microwave oven for antigen retrieval. Tissue sections were incubated with the anti-NAC1 antibody at a dilution of 1:100 at 4°C overnight. Visualization was performed using the EnVision™+ peroxidase system (DakoCytomation, Glostrup, Denmark). Positive controls consisted of an ovarian carcinoma shown to be positive in a pilot study. Negative controls were stained with an isotype-matched mouse myeloma protein. Immunoreactivity was scored by two investigators who were blinded to the patient clinical data. Nuclear localization was interpreted as positive staining. Staining intensity was scored on a scale of 0–3, corresponding to undetectable, weak, moderate, and intense immunoreactivity in tumor cells (16). At least 500 tumor cells were counted for each specimen.

RESULTS

As a continuing effort to understand the molecular etiology of ovarian cancer, we have previously analyzed DNA copy number changes in different types of ovarian carcinoma. Based on digital karyotyping (9) in affinity-purified, high-grade ovarian serous carcinomas, we detected a discrete, novel amplified region located at ch19p13.2 in one of 7 specimens (Fig. 1A). This amplified locus was estimated to have ~17 copies of haploid genome and spanned 12,735,244 to 14,655,263, containing at least 60 genes. Based on this preliminary finding, we decided to determine the frequency of increased copy number at this region in a large set of high-grade serous carcinomas. First, we analyzed DNA copy number in 341 high-grade serous carcinomas from the TCGA ovarian cancer genome dataset. The results indicated that 18% of 341 high-grade serous carcinomas showed increased DNA copy numbers (>2.5) based on SNP arrays. If a higher cutoff value (>3.5) was applied, the fraction of amplified cases was 3%. To identify potential cancer “driver” genes within the ch19p13.2 amplicon, we correlated mRNA expression levels and DNA copy number at a genome wide scale in the same set of carcinomas. The rationale for this analysis is that, when amplified, “driver” genes almost always upregulate their expression, which enables their oncogenic functions. Based on this analysis, we listed the top 100 amplified genes with the highest correlation coefficient between DNA copy number and mRNA expression levels (as determined by Pearson correlation analysis (Table 1). Using this approach, we identified several amplicons harboring well-known amplified oncogenes, including CCNE1 (17), AKT2 (18), Pak1 (5), Rsf-1 (19) and Paf1 (20). Interestingly, chromosome 19 contained a very high number of candidate driver oncogenes. Among the top 100 genes, 54 genes were located at discrete subchromosomal regions of chromosome 19, indicating that frequent structural re-arrangement may occur in this chromosome in high-grade ovarian serous carcinoma (Fig. 1B). Importantly, the ch19p13.2 region harbored 7 genes which showed the most significant correlation between DNA copy number and RNA expression level.

Fig. 1.

Fig. 1

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Amplification at the ch19p13.2 region harboring NACC1. A. A focused view of the digital karyotyping result demonstrates a discrete amplicon spanning from nucleotide position 12,735,244 to 14,655,263 in a high-grade serous carcinoma. NACC1 is located within the amplicon. B. Analysis of the TCGA ovarian cancer dataset reveals 100 top genes showing the highest correlation coefficient between DNA copy number and RNA expression levels. Among them, 54 genes are located on chromosome 19. Their physical map is shown. Of note, three amplified chromosomal regions, 19p13.2, 19q12, and 19q13.1–19q13.2 harbor NACC1, CCNE1 and AKT2, respectively.

Table 1.

The top 100 amplified potential “driver” genes in ovarian high-grade serous carcinomas*.

Gene Chr Start End correlation fCN> 2.5 fCN> 3.5
MRPS15 chr1 36693996 36702545 0.54 0.157 0.017
NDUFS5 chr1 39264593 39272842 0.548 0.190 0.029
NFYC chr1 40950961 41009843 0.555 0.201 0.029
CTPS chr1 41221558 41250797 0.561 0.201 0.026
ANKRD17 chr4 74159477 74262083 0.544 0.055 0.020
TAF2 chr8 120812677 120914224 0.551 0.475 0.050
DERL1 chr8 124095009 124123533 0.674 0.484 0.055
C8orf76 chr8 124301438 124322767 0.545 0.487 0.061
FAM91A1 chr8 124849893 124894217 0.547 0.490 0.067
TRMT12 chr8 125532260 125534217 0.585 0.501 0.073
RNF139 chr8 125556194 125569280 0.609 0.501 0.073
TATDN1 chr8 125569937 125600266 0.573 0.504 0.073
NDUFB9 chr8 125620609 125631394 0.67 0.507 0.076
SQLE chr8 126080726 126103690 0.566 0.510 0.085
KIAA0196 chr8 126105711 126173112 0.563 0.510 0.082
NSMCE2 chr8 126173357 126448429 0.577 0.513 0.082
FAM84B chr8 127633871 127639562 0.534 0.539 0.085
TRAPPC9 chr8 140742588 141468678 0.53 0.487 0.061
EIF2C2 chr8 141610518 141714814 0.552 0.504 0.079
PTK2 chr8 141738135 142080483 0.594 0.519 0.093
TSTA3 chr8 144765938 144770015 0.592 0.464 0.055
ZNF623 chr8 144802992 144809553 0.54 0.466 0.055
PUF60 chr8 144970693 144983194 0.589 0.472 0.055
EXOSC4 chr8 145133522 145135551 0.526 0.469 0.055
GPAA1 chr8 145209555 145213055 0.546 0.469 0.055
CYC1 chr8 145222009 145224324 0.636 0.469 0.055
MAF1 chr8 145231324 145234469 0.554 0.472 0.055
DGAT1 chr8 145510769 145521317 0.54 0.478 0.050
CPSF1 chr8 145589295 145605344 0.544 0.481 0.055
CYHR1 chr8 145660034 145661276 0.61 0.481 0.055
RPL8 chr8 145986002 145988284 0.589 0.461 0.050
ZNF7 chr8 146025232 146039406 0.55 0.461 0.050
C8orf33 chr8 146277824 146281416 0.532 0.443 0.058
UVRAG chr11 75268572 77468762 0.538 0.187 0.012
PRKRIR chr11 75744310 75740093 0.56 0.184 0.023
C11orf30 chr11 75835631 75939155 0.584 0.190 0.026
PAK1 chr11 76721458 76781171 0.581 0.213 0.029
CLNS1A chr11 77004989 77026476 0.638 0.222 0.029
RSF1 chr11 77055016 77056050 0.558 0.224 0.032
C11orf67 chr11 77209888 77261043 0.56 0.222 0.032
INTS4 chr11 77306760 77306854 0.542 0.227 0.032
NDUFC2 chr11 77457655 77468762 0.537 0.233 0.035
ALG8 chr11 77489671 77528282 0.612 0.233 0.035
TM7SF3 chr12 27018069 27058508 0.55 0.248 0.023
MED21 chr12 27066787 27073856 0.585 0.248 0.023
CCDC91 chr12 28410133 28703099 0.528 0.222 0.020
ZNF136 chr19 12134940 12159758 0.541 0.169 0.020
ZNF564 chr19 12497231 12500487 0.537 0.172 0.026
ZNF791 chr19 12582753 12601047 0.605 0.169 0.023
C19orf56 chr19 12639907 12640414 0.672 0.175 0.023
MORG1 chr19 12645066 12647612 0.549 0.175 0.023
DHPS chr19 12647536 12653522 0.617 0.178 0.023
FBXW9 chr19 12660756 12668379 0.541 0.178 0.023
TNPO2 chr19 12671568 12695172 0.603 0.178 0.023
C19orf43 chr19 12702580 12706471 0.563 0.181 0.020
ASNA1 chr19 12709344 12719395 0.664 0.181 0.020
TRMT1 chr19 13076853 13088417 0.55 0.216 0.032
NACC1 chr19 13108094 13112537 0.558 0.216 0.032
STX10 chr19 13115892 13122076 0.557 0.216 0.032
CCDC130 chr19 13723435 13735101 0.605 0.230 0.041
C19orf53 chr19 13746303 13750255 0.561 0.233 0.041
DNAJB1 chr19 14486600 14490026 0.585 0.224 0.029
NDUFB7 chr19 14537895 14543869 0.595 0.227 0.029
AKAP8 chr19 15464337 15490603 0.529 0.251 0.029
USE1 chr19 17187243 17191604 0.608 0.207 0.023
NR2F6 chr19 17203747 17216995 0.542 0.210 0.023
C19orf62 chr19 17239287 17251013 0.589 0.210 0.023
UQCRFS1 chr19 34390062 34395865 0.544 0.222 0.070
POP4 chr19 34797996 34798411 0.747 0.257 0.111
C19orf12 chr19 34883970 34891160 0.555 0.262 0.117
CCNE1 chr19 34994774 35007039 0.578 0.268 0.117
C19orf2 chr19 35125351 35198176 0.745 0.262 0.111
ZNF507 chr19 37529996 37542468 0.532 0.181 0.035
ZNF420 chr19 37569382 37620662 0.531 0.172 0.020
ANKRD27 chr19 37779935 37781120 0.676 0.187 0.038
CCDC123 chr19 38061790 38154709 0.545 0.175 0.029
RHPN2 chr19 38161367 38173389 0.572 0.175 0.026
PEPD chr19 38569954 38594491 0.539 0.163 0.023
LSM14A chr19 39355265 39355508 0.628 0.178 0.023
UBA2 chr19 39611147 39652626 0.607 0.175 0.023
ZNF585B chr19 42368828 42369771 0.547 0.178 0.023
ZNF383 chr19 42409209 42418811 0.546 0.178 0.020
SPINT2 chr19 43447250 43474812 0.63 0.190 0.029
PSMD8 chr19 43557200 43566216 0.642 0.184 0.029
EIF3K chr19 43806612 43819425 0.615 0.201 0.029
ACTN4 chr19 43830180 43912972 0.581 0.201 0.032
ECH1 chr19 43997942 44014245 0.715 0.195 0.035
SIRT2 chr19 44061065 44061778 0.535 0.204 0.050
SARS2 chr19 44097752 44113153 0.556 0.201 0.050
SAMD4B chr19 44539177 44565771 0.6 0.198 0.052
PAF1 chr19 44568126 44573344 0.718 0.198 0.052
MED29 chr19 44573856 44582453 0.657 0.195 0.052
RPS16 chr19 44615726 44618471 0.556 0.195 0.052
SUPT5H chr19 44628301 44659054 0.641 0.190 0.052
TIMM50 chr19 44662966 44672833 0.657 0.181 0.052
FBL chr19 45016951 45023256 0.597 0.166 0.041
PSMC4 chr19 45168950 45179137 0.686 0.152 0.035
AKT2 chr19 45430106 45483092 0.668 0.128 0.023
SERTAD3 chr19 45638677 45640331 0.539 0.120 0.023
SHKBP1 chr19 45774650 45789026 0.573 0.111 0.020
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*

These genes showed the best correlation between DNA and copy number and RNA expression levels with R> 0.526 from the TCGA ovarian cancer dataset. Different chromosomes are indicated by different color highlights. Genes within the chr19p13.2 amplicon are in red fonts.

Chr: chromosome

To validate the above results obtained from in silica analysis, we applied two-color FISH and immunohistochemistry to an independent set of tumors composed of 175 high-grade serous carcinomas collected at our institution. We focused on one of the 7 candidate “driver” genes at ch19p13.2, NACC1, because as compared to the other 6 genes, the biological role of NACC1 has been previously reported. NAC1, encoded by NACC1, is a nuclear protein involved in stemness of embryonic stem cells (21) and in the pathogenesis of human cancer (16). NAC1 has been demonstrated to participate in the development of chemoresistant recurrent tumors (22, 23). In this study, we further determined if amplification of the NACC1 locus was related to early disease recurrence in high-grade ovarian serous carcinomas. We designed FISH probes that hybridized to the NACC1 coding region and found that 35 (20%) of 175 carcinomas demonstrated gene copy number gain (> 2.5) at ch19p13.2. Furthermore, 8 (5%) of 175 tumors exhibited high level amplification (>3.5) in DNA copy number at this locus. An example of FISH in a high-grade serous carcinoma is shown in Fig. 2. Immunohistochemistry was used to estimate semi-quantitatively the protein expression levels of NAC1 based on immunostaining intensity in the same set of 175 tumor tissues. We observed that amplified tumors exhibited a significantly higher level of NAC1 expression than those without amplification (p< 0.005, Fisher's exact test). As shown in Table 2, the percentage of tumors with an immunostaining score of 3+ was 63%, 26%, and 13% in specimens showing high amplification, low level gain, and no amplification at the NACC1 locus, respectively. NAC1 immunoreactivity in representative amplified and non-amplified tumors is shown in Fig. 2B.

Fig. 2.

Fig. 2

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DNA copy number at the NACC1 locus and NAC1 immunoreactivity from representative high-grade serous carcinomas. A. Two-color fluorescence in situ hybridization in two high-grade serous carcinomas shows increased signal of the ch19p13.2 probe (red fluorescence) whereas the control probe (green fluorescence) that hybridizes to a region near the ch19p12 does not shown any gain of intensity. The case on the left panel shows discrete red probe signals whereas the case on the right shows the homogeneously staining regions. The ideogram on the left illustrates the locations which hybridize to the ch19p13.2 probe (red bar) and to the ch19p12 control probe (green bar). B: Immunohistochemistry of NAC1. High-grade ovarian serous carcinomas with high levels of ch19p13.2 amplification show intense immunostaining (3+) of NAC1 in the nuclei (top panels). High-grade ovarian serous carcinomas without detectable alteration of DNA copy number at the ch19p13.2 show variable immunostaining intensity with staining scores ranging from 0 to 2+ (bottom panel). Immunostaining scores are indicated in each photomicrograph.

Table 2.

Correlation of NACC1 DNA copy number and staining intensity in 175 high-grade serous carcinomas.

3+ 2+ 1+ 0 Total
NACC1 amplification (copy number>3.5) 5 1 2 0 8
NACC1 gain (3.5> copy number > 2.5 7 6 9 5 27
Non-amplified 18 45 33 45 140
Total 30 52 44 50 175
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Fisher's exact test p= 0.0047

Next, we asked whether NACC1 amplification was associated with amplification of other chromosomal loci, including CCNE1, RSF1, NOTCH3, AKT2, and PIK3CA, which were frequently amplified in high-grade serous carcinoma (4). The FISH results from the above genes were available in 146 cases and they were used for the correlation study. Based on FISH data and analysis using a 2×2 contingency table, we found that among these genes amplification of only the NOTCH3 locus (ch19p13.12) was significantly correlated with amplification at the ch19p13.2 locus (p = 0.0044) (Table 3). Among 175 high-grade serous carcinomas, we identified a subset of 52 primary tumors from patients whose follow-up information was available. These patients were selected also based on their similar clinical treatment outcome including optimal cytoreductive surgery (residual tumor< 0.5 cm) followed by a similar regimen of carboplatin/paclitaxel therapy at the Johns Hopkins Hospital, Baltimore, Maryland. We observed that an increase in DNA copy number in the NACC1 locus significantly correlated with earlier recurrence (within 6 months after diagnosis) compared with those without amplification (p= 0.013) (Table 4).

Table 3.

Co-amplification of NACC1 and NOTCH3 loci.

NOTCH3 amplified NOTCH3 non-amplified Total
NACC1 amplified 15 10 25
NACC1 non-amplified 34 87 121
Total 49 97 146
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Fisher's exact test p= 0.0044

Table 4.

Correlation of NACC1 locus amplification and the time to first recurrence.

Recur within 6 months Recur after 6 months Total
NACC1 amplified 6 10 16
NACC1 non-amplified 5 31 36
Total 11 41 52
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Fisher's exact test p= 0.013

DISCUSSION

In this study, we provide new evidence that DNA copy number at the ch19p13.2 subchromosomal region is increased in approximately one fifth of high-grade serous carcinomas. This finding is based on two large independent cohorts, using two independent techniques including SNP arrays and FISH. The frequency of ch19p13.2 amplification is comparable to that at the CCNE1, NOTCH3, RSF1, AKT2, and PIK3CA loci which were found to be amplified in 36%, 32%, 16%,14%, and 11% of high-grade serous carcinomas, respectively (4). However, it is uncertain whether ch19p13.2 represents a discrete amplicon or a continuum of a larger region of DNA copy number gain in ch19p, perhaps involving the whole arm. The significant co-amplification event of ch19p13.2 and the NOTCH3 locus (ch19p13.12) suggests such a possibility given the proximal location of both loci. Nevertheless, based on our FISH and immunohistochemistry analysis of the same tumor samples, NAC1 expression likely depends on amplification within the ch19p13.2 amplicon. The above results have several important implications with respect to molecular genetic changes and pathogenesis of tumor recurrence in ovarian cancer.

To determine the significance of amplified genes in human cancer, we applied an approach based on the rationale that a tumor-driving gene, when amplified, is almost always over-expressed, which activates the oncogenic pathway, while co-amplified “passenger” genes that are unrelated to tumor pathogenesis may or may not be over-expressed (24). Therefore, we analyzed all genes within all amplified regions detected by the TCGA ovarian cancer dataset to correlate DNA and transcript copy numbers within the same tumor samples. As a result, we have identified 100 genes with the most significant correlation between DNA copy numbers and RNA expression levels and have found that several ovarian cancer-associated oncogenes were on the list, including CCNE1 (17), AKT2 (18), Pak1 (5), Rsf-1 (19), and Paf1 (20). This finding, together with the data showing CCNE1 as the most frequently amplified region (copy number > 3.5) in ovarian serous carcinoma, supports the robustness of this approach in identifying potential cancer driver genes within amplicons. From this perspective, we found that NACC1 was listed with an R value as high as 0.558. This finding suggests that NACC1 is one of the genes that contribute to tumor progression in ovarian cancer in which ch19p13.2 amplification is found. Of note, analysis of the 100 top gene list reveals that the majority of the amplified ovarian cancer driver genes are located on three chromosomes, 8, 11, and 19, a finding consistent with our previous FISH study that profiled all amplicons in ovarian serous carcinoma (4). This information may provide a potential roadmap to study the pathogenesis of ovarian serous carcinoma in the future.

The association of the ch19p13.2 amplification and shorter disease relapse time may be related to NAC1 overexpression. NAC1, encoded by NACC1, belongs to the BTB/POZ domain gene family and contains the BTB/POZ domain, which is responsible for homodimerization and heterodimerization with other BTB/POZ proteins as well as the BEN domain that mediate protein-DNA and protein-protein interactions during chromatin organization and transcription (25). The role of NAC1 in the development of human cancer has recently emerged. NAC1 is significantly overexpressed in several types of human cancers including ovarian high-grade serous carcinoma (16, 22, 26, 27), endometrial carcinoma (28), and cervical carcinoma (29). Like several BTB/POZ family members, NAC1 proteins homo-dimerize through the BTB domain. Induced expression of a NAC1 deletion mutant (N130) containing exclusively the BTB domain attenuates the tumor-promoting functions of NAC1 (16). On the other hand, over-expression of full-length NAC1 is sufficient to enhance tumorigenicity of ovarian surface epithelial cells and NIH3T3 cells in athymic nu/nu mice (16). More recently, we observed that enforced expression of NAC1 conferred drug resistance, and NAC1 knockdown by shRNA sensitized paclitaxel cytotoxicity in ovarian cancer cells in vitro (22). NAC1 contributed to the development of drug resistance through multiple mechanisms including upregulating fatty acid synthase (30) and negatively regulating the components of the Gadd45 tumor suppressor pathway including Gadd45α and its binding protein, Gadd45gip1 (22, 26). The above findings may explain the clinical observation that upregulation of NAC1 immunoreactivity in primary ovarian tumors is associated with aggressive clinical behavior and tumor recurrence in ovarian cancer patients (16, 27). We did not attempt to analyze the clinical correlation of NACC1 amplification using the TCGA dataset because of concerns about the difference in treatment regimens and patient populations from the various institutions that contributed to the dataset.

The frequent co-amplification of the NACC1 and NOTCH3 is of interest. Our previous studies showed amplification of the NOTCH3 locus in 32% of ovarian high-grade serous carcinomas (12), and Notch3 overexpression is related to the recurrence of ovarian cancer and confers drug resistance (31). Ovarian cancer cells which had amplified and overexpressed Notch3 were dependent on Notch3 signaling for cellular survival and growth. Thus, it is likely that increased DNA copy number in both genes may contribute to the resistance of carboplatin and paclitaxel that are routinely used in treating advanced stage ovarian cancer patients. Interestingly, we have recently demonstrated that inactivation of the Notch3 pathway led to inhibition of NAC1 expression, indicating that Notch3 signaling may regulate the expression of NAC1 (31). Further studies are required to confirm the molecular cross talk between these pathways in the development of chemoresistance.

In summary, based on analysis of the TCGA ovarian cancer dataset and our FISH result, we were able to demonstrate that amplification at the NACC1 locus was one of the frequent molecular genetic alterations in ovarian high-grade serous carcinomas. NAC1 overexpression may be, in part, attributed to the increase in DNA copy number, explaining why amplification at the NACC1 locus is related to early tumor recurrence in ovarian cancer. Future studies should aim at fine mapping the ch19p13.2 amplified region and assessing the potential of other genes at the ch19p13.2 locus to contribute to the aggressive behavior of ovarian serous carcinomas that harbor this amplification.

Grant acknowledgement

This work was supported by an NIH/NCI grant (CA103937).

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