Analysis of cytogenetic alterations in stage III serous ovarian adenocarcinoma reveals a heterogeneous group regarding survival, surgical outcome, and substage

Prediction of Chemoresistance-How Preclinical Data Could Help to Modify Therapeutic Strategy in High-Grade Serous Ovarian Cancer

High-grade serous ovarian cancer (HGSOC) is one of the most lethal tumors generally and the most fatal cancer of the female genital tract. The approved standard therapy consists of surgical cytoreduction and platinum/taxane-based chemotherapy, and of targeted therapy in selected patients. The main therapeutic problem is chemoresistance of recurrent and metastatic HGSOC tumors which results in low survival in the group of FIGO III/IV. Therefore, the prediction and monitoring of chemoresistance seems to be of utmost importance for the improvement of HGSOC management. This type of cancer has genetic heterogeneity with several subtypes being characterized by diverse gene signatures and disturbed peculiar epigenetic regulation. HGSOC develops and metastasizes preferentially in the specific intraperitoneal environment composed mainly of fibroblasts, adipocytes, and immune cells. Different HGSOC subtypes could be sensitive to distinct sets of drugs. Moreover, primary, metastatic, and recurrent tumors are characterized by an individual biology, and thus diverse drug responsibility. Without a precise identification of the tumor and its microenvironment, effective treatment seems to be elusive. This paper reviews tumor-derived genomic, mutational, cellular, and epigenetic biomarkers of HGSOC drug resistance, as well as tumor microenvironment-derived biomarkers of chemoresistance, and discusses their possible use in the novel complex approach to ovarian cancer therapy and monitoring.

The Molecular Landscape Influencing Prognoses of Epithelial Ovarian Cancer

Epithelial ovarian cancer (EOC) is one of the major increasing lethal malignancies of the gynecological tract, mostly due to delayed diagnosis and chemoresistance, as well as its very heterogeneous genetic makeup. Application of high-throughput molecular technologies, gene expression microarrays, and powerful preclinical models has provided a deeper understanding of the molecular characteristics of EOC. Therefore, molecular markers have become a potent tool in EOC management, including prediction of aggressiveness, prognosis, and recurrence, and identification of novel therapeutic targets. In addition, biomarkers derived from genomic/epigenomic alterations (e.g., gene mutations, copy number aberrations, and DNA methylation) enable targeted treatment of affected signaling pathways in advanced EOC, thereby improving the effectiveness of traditional treatments. This review outlines the molecular landscape and discusses the impacts of biomarkers on the detection, diagnosis, surveillance, and therapeutic targets of EOC. These findings focus on the necessity to translate these potential biomarkers into clinical practice.

ABCB1 (MDR1) induction defines a common resistance mechanism in paclitaxel- and olaparib-resistant ovarian cancer cells

BACKGROUND

Clinical response to chemotherapy for ovarian cancer is frequently compromised by the development of drug-resistant disease. The underlying molecular mechanisms and implications for prescription of routinely prescribed chemotherapy drugs are poorly understood.

METHODS

We created novel A2780-derived ovarian cancer cell lines resistant to paclitaxel and olaparib following continuous incremental drug selection. MTT assays were used to assess chemosensitivity to paclitaxel and olaparib in drug-sensitive and drug-resistant cells±the ABCB1 inhibitors verapamil and elacridar and cross-resistance to cisplatin, carboplatin, doxorubicin, rucaparib, veliparib and AZD2461. ABCB1 expression was assessed by qRT-PCR, copy number, western blotting and immunohistochemical analysis and ABCB1 activity assessed by the Vybrant and P-glycoprotein-Glo assays.

RESULTS

Paclitaxel-resistant cells were cross-resistant to olaparib, doxorubicin and rucaparib but not to veliparib or AZD2461. Resistance correlated with increased ABCB1 expression and was reversible following treatment with the ABCB1 inhibitors verapamil and elacridar. Active efflux of paclitaxel, olaparib, doxorubicin and rucaparib was confirmed in drug-resistant cells and in ABCB1-expressing bacterial membranes.

CONCLUSIONS

We describe a common ABCB1-mediated mechanism of paclitaxel and olaparib resistance in ovarian cancer cells. Optimal choice of PARP inhibitor may therefore limit the progression of drug-resistant disease, while routine prescription of first-line paclitaxel may significantly limit subsequent chemotherapy options in ovarian cancer patients.

ABCB1 (MDR1) induction defines a common resistance mechanism in paclitaxel- and olaparib-resistant ovarian cancer cells

BACKGROUND

Clinical response to chemotherapy for ovarian cancer is frequently compromised by the development of drug-resistant disease. The underlying molecular mechanisms and implications for prescription of routinely prescribed chemotherapy drugs are poorly understood.

METHODS

We created novel A2780-derived ovarian cancer cell lines resistant to paclitaxel and olaparib following continuous incremental drug selection. MTT assays were used to assess chemosensitivity to paclitaxel and olaparib in drug-sensitive and drug-resistant cells±the ABCB1 inhibitors verapamil and elacridar and cross-resistance to cisplatin, carboplatin, doxorubicin, rucaparib, veliparib and AZD2461. ABCB1 expression was assessed by qRT-PCR, copy number, western blotting and immunohistochemical analysis and ABCB1 activity assessed by the Vybrant and P-glycoprotein-Glo assays.

RESULTS

Paclitaxel-resistant cells were cross-resistant to olaparib, doxorubicin and rucaparib but not to veliparib or AZD2461. Resistance correlated with increased ABCB1 expression and was reversible following treatment with the ABCB1 inhibitors verapamil and elacridar. Active efflux of paclitaxel, olaparib, doxorubicin and rucaparib was confirmed in drug-resistant cells and in ABCB1-expressing bacterial membranes.

CONCLUSIONS

We describe a common ABCB1-mediated mechanism of paclitaxel and olaparib resistance in ovarian cancer cells. Optimal choice of PARP inhibitor may therefore limit the progression of drug-resistant disease, while routine prescription of first-line paclitaxel may significantly limit subsequent chemotherapy options in ovarian cancer patients.

Genomic/Epigenomic Alterations in Ovarian Carcinoma: Translational Insight into Clinical Practice

Ovarian carcinoma is the most lethal gynecological malignancy worldwide. Recent advance in genomic/epigenomic researches will impact on our prevention, detection and intervention on ovarian carcinoma. Detection of germline mutations in BRCA1/BRCA2, mismatch repair genes, and other genes in the homologous recombination/DNA repair pathway propelled the genetic surveillance of most hereditary ovarian carcinomas. Germline or somatic mutations in SMARCA4 in familial and sporadic small cell carcinoma of the ovary, hypercalcemia type, lead to our recognition on this rare aggressive tumor as a new entity of the atypical teratoma/rhaboid tumor family. Genome-wide association studies have identified many genetic variants that will contribute to the evaluation of ovarian carcinoma risk and prognostic prediction. Whole exome sequencing and whole genome sequencing discovered rare mutations in other drive mutations except p53, but demonstrated the presence of high genomic heterogeneity and adaptability in the genetic evolution of high grade ovarian serous carcinomas that occurs in cancer progression and chemotherapy. Gene mutations, copy number aberrations and DNA methylations provided promising biomarkers for the detection, diagnosis, prognosis, therapy response and targets of ovarian cancer. These findings underscore the necessity to translate these potential biomarkers into clinical practice.

Amplification of MPZL1/PZR promotes tumor cell migration through Src-mediated phosphorylation of cortactin in hepatocellular carcinoma

We have previously identified 1 241 regions of somatic copy number alterations (CNAs) in hepatocellular carcinoma (HCC). In the present study, we found that a novel recurrent focal amplicon, 1q24.1-24.2, targets the MPZL1 gene in HCC. Notably, there is a positive correlation between the expression levels of MPZL1 and intrahepatic metastasis of the HCC specimens. MPZL1 can significantly enhance the migratory and metastatic potential of the HCC cells. Moreover, we found that one of the mechanisms by which MPZL1 promotes HCC cell migration is by inducing the phosphorylation and activation of the pro-metastatic protein, cortactin. Additionally, we found that Src kinase mediates the phosphorylation and activation of cortactin induced by MPZL1 overexpression. Taken together, these findings suggest that MPZL1 is a novel pro-metastatic gene targeted by a recurrent region of copy number amplification at 1q24.1-24.2 in HCC.

Challenges in identifying candidate amplification targets in human cancers: chromosome 8q21 as a case study

Detailed genomic characterization of cancer specimens is required to identify all genes whose dysregulation contributes to tumorigenesis and/or tumor progression. These include amplification target genes, whose oncogenic functions derive from their overexpression in response to increased gene copy number, and which increasingly serve as therapeutic targets and predictive markers. We propose that identifying novel amplification target genes is becoming more challenging, and may require the comparative analysis of multiple studies mapping gene copy number changes and/or defining associations between gene copy number and expression. We therefore reviewed the array comparative genomic hybridization and single nucleotide polymorphism profiling literature to identify copy number increases that were restricted to chromosome 8q21 in human cancers, which were reported most frequently in breast cancer. We determined the minimal regions of overlap between gained regions and then examined which chromosome 8q21 genes were most frequently overexpressed, or otherwise supported, in individual studies. As these combined approaches supported the previously proposed amplification targets TCEB1, TPD52, and WWP1, the comparison of multiple genomic studies may therefore effectively predict candidate gene amplification targets, and prioritize these for further study.

Copy number analysis identifies novel interactions between genomic loci in ovarian cancer

Ovarian cancer is a heterogeneous disease displaying complex genomic alterations, and consequently, it has been difficult to determine the most relevant copy number alterations with the scale of studies to date. We obtained genome-wide copy number alteration (CNA) data from four different SNP array platforms, with a final data set of 398 ovarian tumours, mostly of the serous histological subtype. Frequent CNA aberrations targeted many thousands of genes. However, high-level amplicons and homozygous deletions enabled filtering of this list to the most relevant. The large data set enabled refinement of minimal regions and identification of rare amplicons such as at 1p34 and 20q11. We performed a novel co-occurrence analysis to assess cooperation and exclusivity of CNAs and analysed their relationship to patient outcome. Positive associations were identified between gains on 19 and 20q, gain of 20q and loss of X, and between several regions of loss, particularly 17q. We found weak correlations of CNA at genomic loci such as 19q12 with clinical outcome. We also assessed genomic instability measures and found a correlation of the number of higher amplitude gains with poorer overall survival. By assembling the largest collection of ovarian copy number data to date, we have been able to identify the most frequent aberrations and their interactions.

Potential predictive markers of chemotherapy resistance in stage III ovarian serous carcinomas

BACKGROUND

Chemotherapy resistance remains a major obstacle in the treatment of women with ovarian cancer. Establishing predictive markers of chemoresponse would help to individualize therapy and improve survival of ovarian cancer patients. Chemotherapy resistance in ovarian cancer has been studied thoroughly and several non-overlapping single genes, gene profiles and copy number alterations have been suggested as potential markers. The objective of this study was to explore genetic alterations behind chemotherapy resistance in ovarian cancer with the ultimate aim to find potential predictive markers.

METHODS

To create the best opportunities for identifying genetic alterations of importance for resistance, we selected a homogenous tumor material concerning histology, stage and chemotherapy. Using high-resolution whole genome array comparative genomic hybridization (CGH), we analyzed the tumor genomes of 40 fresh-frozen stage III ovarian serous carcinomas, all uniformly treated with combination therapy paclitaxel/carboplatin. Fisher's exact test was used to identify significant differences. Subsequently, we examined four genes in the significant regions (EVI1, MDS1, SH3GL2, SH3KBP1) plus the ABCB1 gene with quantitative real-time polymerase chain reaction (QPCR) to evaluate the impact of DNA alterations on the transcriptional level.

RESULTS

We identified gain in 3q26.2, and losses in 6q11.2-12, 9p22.3, 9p22.2-22.1, 9p22.1-21.3, Xp22.2-22.12, Xp22.11-11.3, and Xp11.23-11.1 to be significantly associated with chemotherapy resistance. In the gene expression analysis, EVI1 expression differed between samples with gain versus without gain, exhibiting higher expression in the gain group.

CONCLUSION

In conclusion, we detected specific genetic alterations associated with resistance, of which some might be potential predictive markers of chemotherapy resistance in advanced ovarian serous carcinomas. Thus, further studies are required to validate these findings in an independent ovarian tumor series.

Tumor spreading to the contralateral ovary in bilateral ovarian carcinoma is a late event in clonal evolution

Cancer of the ovary is bilateral in 25%. Cytogenetic analysis could determine whether the disease in bilateral cases is metastatic or two separately occurring primary tumors, but karyotypic information comparing the two cancerous ovaries is limited to a single report with 11 informative cases. We present a series of 32 bilateral ovarian carcinoma cases, analyzed by karyotyping and high-resolution CGH. Our karyotypic findings showed that spreading to the contralateral ovary had occurred in bilateral ovarian cancer cases and that it was a late event in the clonal evolution of the tumors. This was confirmed by the large number of similar changes detected by HR-CGH in the different lesions from the same patient. The chromosomal bands most frequently involved in structural rearrangements were 19p13 (n = 12) and 19q13 (n = 11). The chromosomal bands most frequently gained by both tumorous ovaries were 5p14 (70%), 8q23-24 (65%), 1q23-24 (57%), and 12p12 (48%), whereas the most frequently lost bands were 17p11 (78%), 17p13 (74%), 17p12 (70%), 22q13 (61%), 8p21 and 19q13 (52%), and 8p22-23 (48%). This is the first time that 5p14 is seen gained at such a high frequency in cancer of the ovary; possibly oncogene(s) involved in bilateral ovarian carcinogenesis or tumor progression may reside in this band.

Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival

Ovarian cancer cells exhibit complex karyotypic alterations causing deregulation of numerous genes. Some of these genes are probably causal for cancer formation and local growth, whereas others are causal for metastasis and recurrence. By using publicly available data sets, we have investigated the relation of gene expression and chromosomal position to identify chromosomal regions of importance for early recurrence of ovarian cancer. By use of *Gene Set Enrichment Analysis*, we have ranked chromosomal regions according to their association to survival. Over-representation analysis including 1-4 consecutive cytogenetic bands identified regions with increased expression for chromosome 5q12-14, and a very large region of chromosome 7 with the strongest signal at 7p15-13 among tumors from short-living patients. Reduced gene expression was identified at 4q26-32, 6p12-q15, 9p21-q32, and 11p14-11. We summarized mutation load in these regions by a combined mutation score that is statistical significantly associated to survival by analysis in the data sets used for identification of the regions. Furthermore, the prognostic value of the combined mutation score was validated in an independent large data set using death (P = 0.015) and recurrence (P = 0.002) as outcome. The combined mutation score is strongly associated to upregulation of several growth factor pathways.

A population-based 5-year cohort study including all cases of epithelial ovarian cancer in western Sweden: 10-year survival and prognostic factors

Epithelial ovarian cancer (EOC) is the major gynecologic cancer mortality cause in Sweden. The aim of the present study was to investigate the long-term survival and prognostic factors of a complete population-based 5-year cohort of 682 patients with invasive EOC in western Sweden (population around 1.6 million). Data relating to residual tumor after surgery, FIGO stage, grade, histopathologic subtype, ploidy status, adjuvant chemotherapy (the prepaclitaxel period), and disease state (recurrence and death) were reported to a quality register in a prospectively kept database and were controlled against the Swedish National Cancer Registry for completeness. The median follow-up durations for the prospectively collected data in the Cox analysis and for the survival analysis that was made for all patients were 81 months (range, 52-109 months) and 11.7 years (range, 8.7-14.1 years), respectively. No patient was lost to follow-up. The relative 10-year survival rate was 38.4% (95% confidence interval, 34.5%-42.8%). The median relative survival time was 4.3 years (95% confidence interval, 3.6%-5.2%). In the univariate Cox regression analysis, prognostic significances for age, stage, residual tumor, histopathologic subtype of serous cystadenocarcinoma, grade, CA-125, and ploidy status were seen. In the multivariate analysis, age, stage, residual tumor after surgery, and postoperative CA-125 were of prognostic significance. In conclusion, 4 major prognostic factors were found for EOC in this population-based cohort study that also presents nearly accurate long-term survival owing to the nonselective nature and completeness regarding patients and follow-up of the study.

Integrated genome-wide DNA copy number and expression analysis identifies distinct mechanisms of primary chemoresistance in ovarian carcinomas

PURPOSE

A significant number of women with serous ovarian cancer are intrinsically refractory to platinum-based treatment. We analyzed somatic DNA copy number variation and gene expression data to identify key mechanisms associated with primary resistance in advanced-stage serous cancers.

EXPERIMENTAL DESIGN

Genome-wide copy number variation was measured in 118 ovarian tumors using high-resolution oligonucleotide microarrays. A well-defined subset of 85 advanced-stage serous tumors was then used to relate copy number variation to primary resistance to treatment. The discovery-based approach was complemented by quantitative-PCR copy number analysis of 12 candidate genes as independent validation of previously reported associations with clinical outcome. Likely copy number variation targets and tumor molecular subtypes were further characterized by gene expression profiling.

RESULTS

Amplification of 19q12, containing cyclin E (CCNE1), and 20q11.22-q13.12, mapping immediately adjacent to the steroid receptor coactivator NCOA3, was significantly associated with poor response to primary treatment. Other genes previously associated with copy number variation and clinical outcome in ovarian cancer were not associated with primary treatment resistance. Chemoresistant tumors with high CCNE1 copy number and protein expression were associated with increased cellular proliferation but so too was a subset of treatment-responsive patients, suggesting a cell-cycle independent role for CCNE1 in modulating chemoresponse. Patients with a poor clinical outcome without CCNE1 amplification overexpressed genes involved in extracellular matrix deposition.

CONCLUSIONS

We have identified two distinct mechanisms of primary treatment failure in serous ovarian cancer, involving CCNE1 amplification and enhanced extracellular matrix deposition. CCNE1 copy number is validated as a dominant marker of patient outcome in ovarian cancer.

Integrated genome-wide DNA copy number and expression analysis identifies distinct mechanisms of primary chemoresistance in ovarian carcinomas

PURPOSE

A significant number of women with serous ovarian cancer are intrinsically refractory to platinum-based treatment. We analyzed somatic DNA copy number variation and gene expression data to identify key mechanisms associated with primary resistance in advanced-stage serous cancers.

EXPERIMENTAL DESIGN

Genome-wide copy number variation was measured in 118 ovarian tumors using high-resolution oligonucleotide microarrays. A well-defined subset of 85 advanced-stage serous tumors was then used to relate copy number variation to primary resistance to treatment. The discovery-based approach was complemented by quantitative-PCR copy number analysis of 12 candidate genes as independent validation of previously reported associations with clinical outcome. Likely copy number variation targets and tumor molecular subtypes were further characterized by gene expression profiling.

RESULTS

Amplification of 19q12, containing cyclin E (CCNE1), and 20q11.22-q13.12, mapping immediately adjacent to the steroid receptor coactivator NCOA3, was significantly associated with poor response to primary treatment. Other genes previously associated with copy number variation and clinical outcome in ovarian cancer were not associated with primary treatment resistance. Chemoresistant tumors with high CCNE1 copy number and protein expression were associated with increased cellular proliferation but so too was a subset of treatment-responsive patients, suggesting a cell-cycle independent role for CCNE1 in modulating chemoresponse. Patients with a poor clinical outcome without CCNE1 amplification overexpressed genes involved in extracellular matrix deposition.

CONCLUSIONS

We have identified two distinct mechanisms of primary treatment failure in serous ovarian cancer, involving CCNE1 amplification and enhanced extracellular matrix deposition. CCNE1 copy number is validated as a dominant marker of patient outcome in ovarian cancer.

Large-scale genomic analysis of ovarian carcinomas

Epithelial ovarian cancers are typified by frequent genomic aberrations that have been difficult to unravel. Recently, high-resolution array technologies have provided the first glimpse of the remarkable complexity of these aberrations with some ovarian cancers containing hundreds of copy number breakpoints, micro-deletions and amplifications. Many of these alterations contain cancer-related genes suggesting that the majority is disease-associated and not just the product of random genomic instability. Future developments such as next-generation sequencing and integrated analysis of data from multiple array platforms on large numbers of samples are poised to revolutionize our understanding of this complex disease.

Genetic alterations of HLA-class II in ovarian cancer

The immune system controls tumor formation through identification and elimination of cellular alterations. Consequently, cancer development in immune competent hosts depends on strategies to evade the immune system. Modulation of tumor antigen-specific immune responses by aberrant expression of HLA-class I and II molecules is well documented in a variety of carcinomas including ovarian cancer. To date, little data are available about molecular mechanisms responsible for altered HLA-class II phenotypes in tumors. In our sample of 10 Caucasian patients with ovarian carcinoma, a semiquantitative analysis was performed for HLA-class II loci DRB1 and DQB1 in malignant and normal ovarian tissue. Gene amplifications were identified in 62.5% of analyzed alleles and deletions in 17.5%, demonstrating that genomic aberrations of 6p21.3 are common and that copy number gain is more frequent than loss. Moreover, amplifications are most pronounced in advanced-stage tumors. To evaluate genotype-phenotype relation, immunohistochemical analyses were performed and revealed de novo expression of HLA-class II in 30% of tumors with an inverse association between antigen level and HLA copy number. It remains to be elucidated whether the profound changes of the latter quantities are the result of the host's immunological self-defense, indicate the presence of an oncogene located within the MHC-complex or merely reflect the increasing loss of differentiation of the tumor tissue.

Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data

BACKGROUND

Chromosomal abnormalities have been associated with most human malignancies, with gains and losses on some genomic regions associated with particular entities.

METHODS

Of the 15429 cases collected for the Progenetix molecular-cytogenetic database, 5918 malignant epithelial neoplasias analyzed by chromosomal Comparative Genomic Hybridization (CGH) were selected for further evaluation. For the 22 clinico-pathological entities with more than 50 cases, summary profiles for genomic imbalances were generated from case specific data and analyzed.

RESULTS

With large variation in overall genomic instability, recurring genomic gains and losses were prominent. Most entities showed frequent gains involving 8q2, while gains on 20q, 1q, 3q, 5p, 7q and 17q were frequent in different entities. Loss "hot spots" included 3p, 4q, 13q, 17p and 18q among others. Related average imbalance patterns were found for clinically distinct entities, e.g. hepatocellular carcinomas (ca.) and ductal breast ca., as well as for histologically related entities (squamous cell ca. of different sites).

CONCLUSION

Although considerable case-by-case variation of genomic profiles can be found by CGH in epithelial malignancies, a limited set of variously combined chromosomal imbalances may be typical for carcinogenesis. Focus on the respective regions should aid in target gene detection and pathway deduction.

Improved anti-tumor therapy based upon infectivity-enhanced adenoviral delivery of RNA interference in ovarian carcinoma cell lines

BACKGROUND

Hec1 (Highly Expressed in Cancer gene 1) has recently been shown to play an important role in the proper segregation of chromosomes during mitosis. Recently, an adenovirus delivery system carrying RNA interference (RNAi) of Hec1 has been reported in a cervical adenocarcinoma model. Adenoviral delivery systems, however, have the main limitation of poor viral infectivity due to lack of the native receptor, Coxsackie-Adenovirus Receptor (CAR), on the surface of tumor cells. We hypothesize that the viral infectivity of the adenovirus vector would be enhanced via a CAR-independent pathway by altering the targeting tropism, thus increasing the knockdown effect of Hec1 expression in ovarian carcinoma cells.

METHODS

Two adenoviruses (Ad-siRNA-Hec1 and Ad-siRNA-Hec1.F5/3), along with a negative control (Ad-siRNA-GAPDH.F5/3), were created using homologous recombination. HEY and SKOV3.ip1 cell lines were used to perform experiments. The following assays were then used to determine RNAi knockdown efficiency: (1) quantitative PCR (QPCR), (2) Western blot, (3) MTS assay, (4) Annexin V-FITC FACS, (5) crystal violet staining. In all experiments, a negative control served as a baseline measure.

RESULTS

QPCR demonstrated a 2-log viral infectivity enhancement with Ad-siRNA-Hec1.F5/3 over Ad-siRNA-Hec1. QPCR at 72 h revealed mRNA knockdown induced by Ad-siRNA-Hec1 and Ad-siRNA-Hec1.F5/3 in SKOV3.ip1 and HEY cells, respectively (71%/60%, and 32%/78% mRNA knockdown compared to negative control). Western blot revealed translational inhibition induced by both Hec1 Ads with the least knockdown seen with Ad-siRNA-GAPDH.F5/3. FACS analysis revealed increased annexin V positivity in RNAi-infected cells, suggesting a higher rate of apoptosis. MTS assay indicated increased cell death 8 days post-infection with Ad-siRNA-Hec1 and Ad-siRNA-Hec1.F5/3 in SKOV3.ip1 and HEY cell lines, respectively (75% vs. 35% and 43% vs. 12% viable cells). Crystal violet staining revealed increased cell death with Ad-siRNA-Hec1.F5/3 in all tested cell lines.

CONCLUSIONS

RNAi against Hec1 results in gene expression knockdown and apoptosis in vitro. The infectivity-enhanced adenovirus as delivery mechanism shows potential application in future gene therapy models of RNAi in ovarian cancer.

Molekularpathologie der epithelialen Ovarialneoplasien

Despite the fact that ovarian carcinomas are phenotypically heterogeneous, they can be divided into two main groups with common pathogenetic mechanisms. Based on clinical, pathological and molecular parameters, a relatively large group of tumors can be distinguished with stepwise development from benign precursors and borderline tumors to invasive carcinomas (type I). Depending on the morphological phenotype, characteristic genetic changes can be observed, such as mutations in KRAS and BRAF in serous borderline tumors and low-grade serous carcinomas. Mutations in KRAS are also frequently detected in mucinous borderline tumors and mucinous carcinomas. The group of endometrioid tumors is characterized by mutations in components of the Wnt-signal transduction pathway and PTEN or microsatellite instability. The second large group of tumors (type II) includes tumors with "de novo" development of highly malignant carcinomas such as the conventional (moderately to poorly differentiated) high-grade serous carcinomas, undifferentiated carcinomas and malignant mixed mesodermal tumors. These tumors are associated with frequent mutations in p53 and complex chromosomal alterations. In the future, the combined analysis of morphological parameters, genetic changes, gene-expression profiling and protein data will reveal possible diagnostic and therapeutic targets for ovarian carcinomas.

Chromosomal changes associated with clinical outcome in lymph node-negative breast cancer

Breast cancer is the most common malignancy among women and accounts for over one million new cases worldwide per year. Lymph node-negative breast cancer patients are reputed as having a better prognosis than lymph node-positive ones. Around 20% of the lymph node-negative patients die within 10 years after diagnosis. To improve the prognostics of node-negative breast cancer, it is important to understand the underlying biologic mechanisms promoting survival, such as specific genetic changes in the tumor genome. In this study, CGH was applied to analyze 64 tumors from node-negative breast cancer patients to identify DNA copy number changes in chromosomes and chromosome regions that may be correlated to survival. The main findings show gains at 4q, 5q31 approximately qter, 6q12 approximately q16, and 12q14 approximately q22, as well as losses of 17p, 18p, and Xq, which were significantly more recurrent in tumors from deceased patients than in tumors from survivors. The average number of chromosomal changes was higher in the tumors from deceased compared to the survivor tumors. Our findings suggest that tumors with specific chromosomal aberrations at 4q, 5q31 approximately qter, 6q12 approximately q16, 12q14 approximately q22, 17p, 18p, and Xq result in an aggressive form of breast cancer and that these patients are predisposed to succumb to breast cancer.

Expression analysis of stage III serous ovarian adenocarcinoma distinguishes a sub-group of survivors

It is difficult to predict the clinical outcome for patients with ovarian cancer. However, the use of biomarkers as additional prognostic factors may improve the outcome for these patients. In order to find novel candidate biomarkers, differences in gene expressions were analysed in 54 stage III serous ovarian adenocarcinomas with oligonucleotide microarrays containing 27,000 unique probes. The microarray data was verified with quantitative real-time polymerase chain reaction for the genes TACC1, MUC5B and PRAME. Using hierarchical cluster analysis we detected a sub-group that included 60% of the survivors. The gene expressions in tumours from patients in this sub-group of survivors were compared with the remaining tumours, and 204 genes were found to be differently expressed. We conclude that the sub-group of survivors might represent patients with favourable tumour biology and sensitivity to treatment. A selection of the 204 genes might be used as a predictive model to distinguish patients within and outside of this group. Alternative chemotherapy strategies could then be offered as first-line treatment, which may lead to improvements in the clinical outcome for these patients.

Comparative genome hybridization reveals specific genomic imbalances during the genesis from benign through borderline to malignant ovarian tumors

Ovarian cancer is one of the most common types of malignancy in women throughout the developed world. Despite recent therapeutic advances, long-term survival is poor because ovarian cancer is largely asymptomatic in its early stages. Comparative genomic hybridization (CGH) was applied to a series of 8 benign, 8 borderline, and 17 malignant ovarian to establish genomic imbalances associated with tumor progression. Benign and borderline tumors were characterized by losses at 1p32 approximately p11, 2q14 approximately q34, 4q13 approximately q34, 5q11 approximately q23, and 6q12 approximately q24, as well as gains of 6p and chromosome 12. Similar chromosomal changes were also detected in malignant tumors but included additional chromosomal changes: gains at 1q21 approximately q31, 2p, 3q, 5p, 7, 10p, 12p, 16p, 17, 19q, 20q, and 22q, as well as losses at X, 3p, 8p, 9, 11p, 13, 14, and 18. Some individual cases of benign and borderline tumors revealed no genetic alterations detectable by CGH, suggesting that these tumors may represent a subset of tumors that originate by an alternative mechanism of tumorigenesis. Furthermore, our findings reveal that borderline tumors are more similar to benign tumors than to malignant tumors with respect to their genetic profiles.

Chromosomal losses of regions on 5q and lack of high-level amplifications at 8q24 are associated with favorable prognosis for ovarian serous carcinoma

In this study, we describe characteristic chromosomal alterations in a consecutive series of 96 serous ovarian tumors by comparative genomic hybridization. We analyze their association with different pathways of progression, histological grade, and clinical outcome. The most striking difference between low-grade and high-grade serous carcinomas was seen in a higher incidence of chromosomal gains at 3q and 20q and losses of 13q in the high-grade carcinomas. In addition, high-level amplifications were significantly more frequent in high-grade carcinomas, specifically involving regions on 3q and 8q. Chromosomal amplifications of 19p and 19q and losses of 4q and 5q were among the most frequent changes found in both low-grade and high-grade carcinomas, distinguishing them from borderline tumors, which had very few recurrent alterations. The most significant impact on survival of patients with invasive carcinomas Stage II-IV was observed for high-level amplifications of regions on 8q (mean overall survival (OS) 69 versus 27 months, P = 0.0006). Interestingly, low-level gains on 8q do not show any impact compared to cases with no alteration. Surprisingly, chromosomal losses on 5q had a protective impact (mean OS 36 versus 76 months, P = 0.0007). Combination of both parameters resulted in two risk groups. Low risk: loss on 5q, no amplification on 8q (mean OS 84 months); high risk: no loss on 5q, amplification on 8q (mean OS 26 months). This difference is even more pronounced, if only cases with residual tumor of less than 2 cm are included, resulting in a 5-year survival of 100% and 0% (P = 0.0005).

Genetic alterations of serous borderline tumors of the ovary compared to stage I serous ovarian carcinomas

Borderline tumors of the ovary comprise 10-20% of all epithelial ovarian tumors, and are placed between clearly benign and obviously malignant ovarian tumors. The issue of whether borderline tumors are precursors of invasive carcinoma or distinct clinical entities, however, is still the subject of discussion. To increase our understanding in relation to this issue, the aim of our study was to analyze both serous borderline and invasive ovarian tumors, and to investigate early carcinogenesis in serous ovarian tumors. Using comparative genomic hybridization, we compared cytogenetic changes in borderline ovarian tumors and stage I invasive tumors. The average number of genetic alterations differed significantly between the borderline and the invasive tumors (1.9 and 9.2, respectively). The most common genetic alterations among the borderline tumors were loss of chromosome 17, 20q, and 18p, and gain of 12p13 approximately q23. These changes were also found among the invasive tumors in a similar percentage. In conclusion, we found four distinct cytogenetic alterations that might be early events in serous ovarian tumors, and that might also characterize a subgroup of borderline ovarian tumors that may have the potential to progress and develop malignancy.

Chromosome 6p amplification and cancer progression

Chromosomal imbalances represent an important mechanism in cancer progression. A clear association between DNA copy-number aberrations and prognosis has been found in a variety of tumours. Comparative genomic hybridisation studies have detected copy-number increases affecting chromosome 6p in several types of cancer. A systematic analysis of large tumour cohorts is required to identify genomic imbalances of 6p that correlate with a distinct clinical feature of disease progression. Recent findings suggest that a central part of the short arm of chromosome 6p harbours one or more oncogenes directly involved in tumour progression. Gains at 6p have been associated with advanced or metastatic disease, poor prognosis, venous invasion in bladder, colorectal, ovarian and hepatocellular carcinomas. Copy number gains of 6p DNA have been described in a series of patients who presented initially with follicle centre lymphoma, which subsequently transformed to diffuse large B cell lymphoma. Melanoma cytogenetics has consistently identified aberrations of chromosome 6, and a correlation with lower overall survival has been described. Most of the changes observed in tumours to date map to the 6p21-p23 region, which encompasses approximately half of the genes on all of chromosome 6 and one third of the number of CpG islands in this chromosome. Analyses of the genes that cluster to the commonly amplified regions of chromosome 6p have helped to identify a small number of molecular pathways that become deregulated during tumour progression in diverse tumour types. Such pathways offer promise for new treatments in the future.

Cytogenetic analysis of carboplatin resistance in early-stage epithelial ovarian carcinoma

Ovarian carcinoma is the leading cause of death among women with gynecological malignancies in western Europe. The high mortality rate is largely due to drug resistance. It is thus essential to increase knowledge and understanding of the underlying mechanisms of chemotherapy resistance, which might be caused by changes in the tumor genome. After surgery, carboplatin is the standard treatment for patients with early-stage ovarian cancer. Using comparative genomic hybridization (CGH), we explored cytogenetic alterations in 63 early-stage epithelial ovarian tumors, comparing the aberration patterns in the carboplatin-resistant and carboplatin-sensitive tumors. Several chromosomal regions were more frequently altered in the resistant tumors; some of these differences were statistically significant. We also found differences in tumor histology. Gains of 1q, 5q14 approximately q23, and 13q21 approximately q32, and losses of 8p and 9q were associated with clinical carboplatin resistance. Also, differences were found between the primary resistant and the secondary resistant tumors. Our findings demonstrate biologic observations of clinical drug resistance and specifically reveal chromosomal regions of interest for platinum resistance.

Tumor protein D52 (TPD52) is overexpressed and a gene amplification target in ovarian cancer

Recurrent chromosome 8q gain in ovarian carcinoma is likely to reflect the existence of multiple target loci, as the separate gain of chromosome bands 8q21 and 8q24 has been reported in independent studies. Since tumor protein D52 (TPD52) has been identified as a chromosome 8q21 amplification target in breast and prostate carcinoma, we compared TPD52 expression in normal ovarian epithelium (n = 9), benign serous adenomas (n = 11), serous borderline tumors (n = 6) and invasive carcinomas of the major histologic subtypes (n = 57) using immunohistochemistry. These analyses revealed that all normal ovarian epithelium samples and benign serous tumors were predominantly TPD52-negative, whereas TPD52 was overexpressed in most (44/57; 77%) ovarian carcinomas regardless of histologic subtype. TPD52 subcellular localization was predominantly cytoplasmic, although nuclear localization was also frequently observed in mucinous and clear cell carcinomas. In an independent cohort of stage III serous carcinomas (n = 18), we also directly compared in situ TPD52 expression using immunohistochemistry and TPD52 copy number using interphase FISH analyses. This revealed that TPD52 dosage and TPD52 expression were significantly positively correlated. TPD52 therefore represents a novel molecular marker in ovarian cancer, which is broadly expressed across the different histologic subtypes and whose upregulation frequently reflects increased TPD52 copy number.

Gains and overexpression identify DEK and E2F3 as targets of chromosome 6p gains in retinoblastoma

The paediatric eye tumour retinoblastoma is initiated by inactivation of RB1, a tumour suppressor on chromosome 13q. In addition to RB1 loss, many retinoblastomas show other genetic alterations including gains on chromosomes 6p21-pter and 1q31-q32. Recently, the minimal region of gains on chromosome 6 was narrowed to band p22. We examined genomic gains and expression changes in primary retinoblastomas to identify potential target genes in 6p22. Quantitative multiplex PCR detected copy numbers > or = 3 in 25 (33%) tumours and no gains in 31 of 76 (40%) tumours. The remaining 20 (26%) samples showed gains only at some loci, most often including E2F3 and DEK in 6p22.3. Analysis of RNA from 21 primary retinoblastomas showed that expression levels of these and some other genes in 6p22 correspond to DNA gains. However, KIF 13A, a reported candidate oncogene on 6p, was expressed at low levels or absent. Clinical manifestation of tumours with gains at all 6p22 loci was distinct in that distribution of age at diagnosis was markedly shifted to older age compared to tumours with no or partial gains. In summary, our results suggest that DEK and E2F3 are potential targets of 6p gains in retinoblastoma.