The combined evaluation of p27Kip1 and Ki-67 expression provides independent information on overall survival of ovarian carcinoma patients

MKI67 with arterial hypertension predict a poor survival for prostate cancer patients, a real-life investigation

INTRODUCTION

Prostate cancer is a common urology malignant in males, ranking second globally. The disease is especially severe when diagnosed alongside hypertension. MKI67 is an established marker of neoplastic cell proliferation in humans, but the significance of its prognostic value in patients with prostate cancer and hypertension requires further research.

METHODS

In this retrospective analysis, we evaluated 296 hypertensive prostate cancer patients between March 2, 2012, and November 1, 2015. We used Cox regression models and prediction analysis to assess overall survival. Furthermore, we created a nomogram and verified its accuracy using a calibration curve.

RESULTS

Of all participants, 101 (34.12%) died. Our multi-factor analysis revealed that MKI67 expression was associated with an increased hazard ratio of death (> fivefold) (Hazard Ratio 5.829, 95% CI 3.349-10.138, p value < 0.01) and progression (twofold) (HR 2.059, 95% CI 1.368-3.102, p value < 0.01). Our Lasso analysis model displayed that several factors, including heart failure, smoking, ACS, serum albumin, Gealson score, prognostic nutritional index, MKI67 expression, surgery, and stage were high risks of prostate cancer. To ensure each covariate's contribution to cancer prognosis, we created a Cox model nomogram, which accurately predicted the risk of death (C-statistic of 0.8289) and had a proper calibration plot for risk assessment.

CONCLUSION

MKI67 expression predicts poor outcomes for overall mortality in prostate cancer and hypertension patients. Additionally, our cross-validated multivariate score, which includes MKI67, demonstrated accuracy efficacy of predicting prognosis.

miR-190 promotes malignant transformation and progression of human urothelial cells through CDKN1B/p27 inhibition

Background

Although miR-190 has been reported to be related to human diseases, especially in the development and progression of cancer, its expression in human bladder cancer (BC) and potential contribution to BC remain unexplored.

Methods

RT-qPCR was used to verify the expression level of miR-190 and CDKN1B. Flow cytometry (FCM) assays were performed to detect cell cycle. Soft agar assay was used to measure anchorage-independent growth ability. Methylation-Specific PCR, Dual-luciferase reporter assay and Western blotting were used to elucidate the potential mechanisms involved.

Results

Our studies revealed that downregulation of the p27 (encoded by CDKN1B gene) protein is an important event related to miR-190, promoting the malignant transformation of bladder epithelial cells. miR-190 binds directly to CDKN1B 3’-UTR and destabilizes CDKN1B mRNA. Moreover, miR-190 downregulates TET1 by binding to the TET1 CDS region, which mediates hypermethylation of the CDKN1B promoter, thereby resulting in the downregulation of CDKN1B mRNA. These two aspects led to miR-190 inhibition of p27 protein expression in human BC cells. A more in-depth mechanistic study showed that c-Jun promotes the transcription of Talin2, the host gene of miR-190, thus upregulating the expression of miR-190 in human BC cells.

Conclusions

In this study, we found that miR-190 plays an important role in the development of BC. Taken together, these findings indicate that miR-190 may promote the malignant transformation of human urothelial cells by downregulating CDKN1B, which strengthens our understanding of miR-190 in regulating BC cell transformation.

A Study of CD44 Positive Cancer Cells in Epithelial Ovarian Cancer and their Correlation with P53 And Ki67

Context  Epithelial ovarian carcinomas are one of the most common lethal gynecological malignancies. There is no specific symptom or biomarker for detection of this malignancy in early stage. So, the advanced stage, nature of frequent recurrences, and resistance to chemotherapies make it very difficult to deliver proper treatment to patients. Efforts are on to identify the presence of cancer stem cell by using a specific biomarker in epithelial ovarian cancer in the early stage.

Objectives  This study aims to identify the CD44 positive cancer cells in epithelial ovarian carcinoma of different histopathological types. It also intends to correlate the expression of CD44 with the expression of p53 and Ki67.

Materials and Methods  Sections from diagnosed specimens of ovarian epithelial neoplasm had been fixed in 10% formalin and embedded in paraffin, and they were used for immunohistochemical (IHC) staining for CD44, p53, and Ki67, using a peroxidase kit with mouse monoclonal antibodies. Then, the slides were evaluated for both tumor cell percentage and intensity of immunoreactivity.

Statistical Analysis  Chi-square had been used to find the significance of study. Significance level was considered at p value < 0.05

Results  In this study, 40 patients were included in a period of one and a half years. The present study suggested that the levels of CD44 expression were increased in epithelial ovarian cancer compared to borderline tumor. CD44 was positively correlated with the ki67 expression and tumor grade. High-grade serous, mucinous, and endometrioid tumors were associated with high CD44 expression. Positivity of CD44 was found significantly higher in case of positive status of p53 (z = 3.65; p < 0.0001).

Conclusion  We can correlate CD44 positive cancer stem cells with grade of ovarian carcinomas, but for prognostic significance and therapeutic applications, more corroborative and multicentric works in this field are needed. CD44 can be targeted for therapy in recurrent and resistant cases of ovarian cancer.

The Prognostic Relevance of the Proliferation Markers Ki-67 and Plk1 in Early-Stage Ovarian Cancer Patients With Serous, Low-Grade Carcinoma Based on mRNA and Protein Expression

Since type and duration of an appropriate adjuvant chemotherapy in early-stage ovarian cancer (OC) are still being debated, novel markers for a better stratification of these patients are of utmost importance for the design of an improved chemotherapeutical strategy. In contrast to numerous cancer studies on cellular proliferation based on the immunohistochemistry-driven evaluation of protein expression, we compared mRNA and protein expression of two independent markers of cellular proliferation, Ki-67 and Plk1, in a large cohort of 243 early-stage OC and their relationship with clinicopathological features and survival. Based on marker expression we demonstrate that early-stage OC patients (stages I/II, low-grade, serous) with high expression (Ki-67, Plk1) had a significantly shorter progression-free survival (PFS) and overall survival (OS) compared to patients with low expression (Ki-67, Plk1). Remarkably, based on mRNA expression this significant difference got lost in advanced stages (III/IV): At least for PFS, high levels of Ki-67 and Plk1 correlate with moderately better survival compared to patients with low expressing tumors. Our data suggest that in addition to Ki-67, Plk1 is a novel marker for the stratification of early-stage OC patients to maximize therapeutic efforts. Both, Ki-67 and Plk1, seem to be better suited in early-stages (I/II) as therapeutical targets compared to advanced-stages (III/IV) OC.

Magnetic resonance imaging in categorization of ovarian epithelial cancer and survival analysis with focus on apparent diffusion coefficient value: correlation with Ki-67 expression and serum cancer antigen-125 level

Background

To determine whether magnetic resonance (MR) imaging features combined with apparent diffusion coefficient (ADC) values could be used as a tool for categorizing ovarian epithelial cancer (OEC) and predicting survival, as well as correlating with laboratory tests (serum cancer antigen 125, serum CA-125) and tumor proliferative index (Ki-67 expression).

Methods and materials

MRI examination was undertaken before invasive procedures. MRI features were interpreted and recorded on the picture archive communication system (PACS). ADC measurements were manually performed on post-process workstation. Clinical characteristics were individually retrieved and recorded through the hospital information system (HIS). Cox hazard model was used to estimate the effects of both clinical and MRI features on overall survival.

Results

Both clinical and MRI features differed significantly between Type I and Type II cancer groups (p < 0.05). The mean ADC value was inversely correlated with Ki-67 expression in Type I cancer (ρ = − 0.14, p < 0.05). A higher mean ADC value was more likely to suggest Type I ovarian cancer (Odds Ratio (OR) = 16.80, p < 0.01). Old age and an advanced International Federation of Gynecology and Obstetrics (FIGO) stage were significantly related to Type II ovarian cancer (OR = 0.22/0.02, p < 0.05). An advanced FIGO stage, solid components, and old age were significantly associated with poor survival (Hazard Ratio (HR) = 23.54/3.69/2.46, p < 0.05). Clear cell cancer type had a poorer survival than any other pathological subtypes of ovarian cancer (HR = 13.6, p < 0.01).

Conclusions

MR imaging features combined with ADC value are helpful in categorizing OEC. ADC values can reflect tumor proliferative ability. A solid mass may predict poor prognosis for OEC patients.

Electronic supplementary material

The online version of this article (10.1186/s13048-019-0534-0) contains supplementary material, which is available to authorized users.

miR-940 Upregulation Suppresses Cell Proliferation and Induces Apoptosis by Targeting PKC-δ in Ovarian Cancer OVCAR3 Cells

Ovarian cancer remains as one of the most threatening malignancies for females in the world. This study investigated the pivotal role of miR-940 in the progression of ovarian cancer and to reveal the possible molecular mechanism of its action. Ovarian cancer OVCAR3 cells were transfected with the miR-940 vector, miR-940 inhibitor, and/or small interfering RNA (siRNA) targeting PKC-δ (si-PKC-δ), respectively. After transfection, cell viability and cell apoptosis were analyzed, as well as cell proliferation and apoptosis-related protein expression. Compared to the control, miR-940 upregulation suppressed cell viability but induced cell apoptosis. miR-940 upregulation increased the expression of p27, Hes1, survivin, and caspase 3, but decreased the expression of PKC-δ. In addition, elevated cell viability induced by the miR-940 inhibitor was significantly decreased by knockdown of PKC-δ, and reduced cell apoptosis induced by the miR-940 inhibitor was increased by knockdown of PKC-δ. Taken together, the results of our study suggest that upregulation of miR-940 may function as a suppressor in the progression of ovarian cancer by inhibiting cell proliferation and inducing apoptosis by targeting PKC-δ. This study may provide a basis for the possible application of miR-940 in illustrating the molecular pathogenic mechanism of ovarian cancer.

The prognostic of p27(kip1) in ovarian cancer: a meta-analysis

PURPOSE

P27(kip1) is a negative cell cycle regulator that plays an important role in tumor suppression. Deregulation of p27(kip1) is commonly observed in many human cancers. Numerous studies about p27(kip1) are reported in clinical patients despite variable data for the prognostic of p27(kip1) expression. Here we report a meta-analysis of the association of p27(kip1) expression with the survival of ovarian cancer.

METHODS

PubMed and Web of science were searched for studies evaluating expression of p27(kip1) and prognostic in ovarian cancer. Published data were extracted and computed into odds ratios (ORs) for death at 3 and 5 years. Data were pooled using the random-effect model. All statistical tests were two-sided.

RESULTS

Analysis included 9 studies: six studies were reported in European, three studies were reported in American, and one study was reported in Asian. Loss of p27(kip1) was associated with worse overall survival (OS) at both 3 years [OR = 2.61, 95 % confidence interval (CI) 1.95-3.49, p < 0.05] and 5 years (OR = 3.01, 95 % CI 2.17-4.17, p < 0.05). Among studies with different ethnicity (European, American and Asian), the results showed a more significant association in European, including Italy, Germany, and Greece [for both 3-year OS (OR = 3.53, 95 % CI 2.37-5.26) and 5-year OS (OR = 3.66, 95 % CI 2.30-5.83)].

CONCLUSIONS

Loss of p27(kip1) is associated with worse survival in ovarian cancer. The development of strategies target p27(kip1) could be a reasonable therapeutic approach.

Ki-67 as an independent prognostic factor in an unselected cohort of patients with ovarian cancer: results of an explorative, retrospective study

The identification of prognostic markers has clinical implications in epithelial ovarian carcinoma (EOC). Here, we studied markers for proliferation (Ki-67), endocrine regulation [progesterone receptor (PR), estrogen receptor (ER)], and invasion [urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor (PAI-1)]. All patients with available follow-up information and EOC tissue, who were treated at our institution between 1997 and 2004, were enrolled in the present study. Expression of Ki-67, PR and ER was determined by immunohistochemical analyses. uPA and PAI-1 antigen levels were determined using enzyme‑linked immunosorbent assays. One hundred and eight patients entered the present study. The median follow-up time was 43.3 (range 11.4-68.0) months. In multivariable Cox regression analyses, Ki-67 expression showed an independent negative impact on disease-free survival (DFS) and overall survival (OS) [hazard ratio (HR) for DFS, 11.5; 95% confidence interval (CI), 2.64-49.7; p=0.001 and HR for OS, 21.2; 95% CI, 9.9-113.1; p<0.001]. After cut-off optimization, PR expression showed an independent positive impact on prognosis (HR for DFS, 0.15; 95% CI, 0.03-0.68; p=0.014 and HR for OS, 0.13; 95% CI, 0.03‑0.68; p=0.016). Furthermore, postoperative residual tumor burden and completeness of chemotherapy determined the prognosis. ER, uPA and PAI-1 were not associated with survival. PR and ER, and postoperative residual tumor burden and tumor stage showed a strong correlation in an explorative Spearman's rank correlation coefficient (rho=0.759 and rho=0.426, respectively). Ki-67 and cut-off optimized PR are independently associated with the prognosis of EOC. Further prospective studies are warranted to confirm these associations and to elucidate the underlying mechanisms.

Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients

The validation of prognostic biomarkers in large independent patient cohorts is a major bottleneck in ovarian cancer research. We implemented an online tool to assess the prognostic value of the expression levels of all microarray-quantified genes in ovarian cancer patients. First, a database was set up using gene expression data and survival information of 1287 ovarian cancer patients downloaded from Gene Expression Omnibus and The Cancer Genome Atlas (Affymetrix HG-U133A, HG-U133A 2.0, and HG-U133 Plus 2.0 microarrays). After quality control and normalization, only probes present on all three Affymetrix platforms were retained (n=22,277). To analyze the prognostic value of the selected gene, we divided the patients into two groups according to various quantile expressions of the gene. These groups were then compared using progression-free survival (n=1090) or overall survival (n=1287). A Kaplan-Meier survival plot was generated and significance was computed. The tool can be accessed online at www.kmplot.com/ovar. We used this integrative data analysis tool to validate the prognostic power of 37 biomarkers identified in the literature. Of these, CA125 (MUC16; P=3.7×10(-5), hazard ratio (HR)=1.4), CDKN1B (P=5.4×10(-5), HR=1.4), KLK6 (P=0.002, HR=0.79), IFNG (P=0.004, HR=0.81), P16 (P=0.02, HR=0.66), and BIRC5 (P=0.00017, HR=0.75) were associated with survival. The combination of several probe sets can further increase prediction efficiency. In summary, we developed a global online biomarker validation platform that mines all available microarray data to assess the prognostic power of 22,277 genes in 1287 ovarian cancer patients. We specifically used this tool to evaluate the effect of 37 previously published biomarkers on ovarian cancer prognosis.

Enhancer of zeste homolog 2 promotes the proliferation and invasion of epithelial ovarian cancer cells

Enhancer of zeste homolog 2 (EZH2) is the catalytic subunit of the polycomb repressive complex 2 (PRC2) that includes noncatalytic subunits suppressor of zeste 12 (SUZ12) and embryonic ectoderm development (EED). When present in PRC2, EZH2 catalyzes trimethylation on lysine 27 residue of histone H3 (H3K27Me3), resulting in epigenetic silencing of gene expression. Here, we investigated the expression and function of EZH2 in epithelial ovarian cancer (EOC). When compared with primary human ovarian surface epithelial (pHOSE) cells, EZH2, SUZ12, and EED were expressed at higher levels in all 8 human EOC cell lines tested. Consistently, H3K27Me3 was also overexpressed in human EOC cell lines compared with pHOSE cells. EZH2 was significantly overexpressed in primary human EOCs (n = 134) when compared with normal ovarian surface epithelium (n = 46; P < 0.001). EZH2 expression positively correlated with expression of Ki67 (P < 0.001; a marker of cell proliferation) and tumor grade (P = 0.034) but not tumor stage (P = 0.908) in EOC. There was no correlation of EZH2 expression with overall (P = 0.3) or disease-free survival (P = 0.2) in high-grade serous histotype EOC patients (n = 98). Knockdown of EZH2 expression reduced the level of H3K27Me3 and suppressed the growth of human EOC cells both in vitro and in vivo in xenograft models. EZH2 knockdown induced apoptosis of human EOC cells. Finally, we showed that EZH2 knockdown suppressed the invasion of human EOC cells. Together, these data demonstrate that EZH2 is frequently overexpressed in human EOC cells and its overexpression promotes the proliferation and invasion of human EOC cells, suggesting that EZH2 is a potential target for developing EOC therapeutics.

p27: a barometer of signaling deregulation and potential predictor of response to targeted therapies

Phosphorylation of the cyclin-dependent kinase inhibitor p27 by upstream mitogenic signaling pathways regulates its stability, localization, and biological function. In human cancers, loss of the antiproliferative action of p27 can arise through reduced protein levels and/or cytoplasmic mislocalization, leading to increased cell proliferation and/or cell migration, respectively. Reduced p27 expression levels and p27 mislocalization have potential prognostic and therapeutic implications in various types of human cancers. This review highlights mechanisms of functional deregulation of p27 by oncogenic signaling that provide an important molecular rationale for pathway targeting in cancer treatment.

Predictive and prognostic protein biomarkers in epithelial ovarian cancer: recommendation for future studies

Epithelial ovarian cancer is the most lethal gynecological malignancy. Due to its lack of symptoms, this disease is diagnosed at an advanced stage when the cancer has already spread to secondary sites. While initial rates of response to first treatment is >80%, the overall survival rate of patients is extremely low, mainly due to development of drug resistance. To date, there are no reliable clinical factors that can properly stratify patients for suitable chemotherapy strategies. Clinical parameters such as disease stage, tumor grade and residual disease, although helpful in the management of patients after their initial surgery to establish the first line of treatment, are not efficient enough. Accordingly, reliable markers that are independent and complementary to clinical parameters are needed for a better management of these patients. For several years, efforts to identify prognostic factors have focused on molecular markers, with a large number having been investigated. This review aims to present a summary of the recent advances in the identification of molecular biomarkers in ovarian cancer patient tissues, as well as an overview of the need and importance of molecular markers for personalized medicine in ovarian cancer.

Cytoplasmic p27 expression is an independent prognostic factor in ovarian cancer

Dysregulation of the cell cycle is an important prerequisite for cancer development. p27 has an established role in cell cycle control and hence may be disrupted during carcinogenesis. The influence of p27 expression, including its subcellular location, on tumor behavior in ovarian cancer has been controversial. The purpose of this study was to evaluate the expression of p27 in a large population of patients with ovarian cancer and correlate this to clinicopathologic variables including overall survival. Using a tissue microarray of 339 primary ovarian cancers, the expression of p27 was assessed immunohistochemically. Coupled to a comprehensive database of clinicopathologic variables, its effect on these factors and survival was studied. Cytoplasmic p27 showed a progressively negative impact on overall survival (P=0.004). Tumors displaying nuclear p27 also had poorer prognosis (P=0.014). Factors shown to predict prognosis independently of each other were age, stage, and the absence of macroscopic disease after surgery. Cytoplasmic p27 expression, but not nuclear, was independently predictive of prognosis on multivariate analysis (P=0.042). Both subcellular locations of p27 expression were more frequently observed in serous compared with mucinous subtypes. Cytoplasmic p27 independently predicts poorer prognosis in ovarian carcinoma. These results seem counterintuitive, when considering the antiproliferative role of p27, but may reflect a more complex function of p27 within cell cycle regulation. These data support a novel role for p27 within the cytoplasm, possibly through effects on apoptosis, cellular motility, and drug resistance.

14-3-3sigma expression and prognostic value in patients with epithelial ovarian carcinoma: a high throughput tissue microarray analysis

AIMS

14-3-3sigma is a potential tumor suppressor gene that when it is silenced by CpG methylation can contribute to cancer development. Previously, we showed that hypermethylation of 14-3-3sigma in human ovarian cancer and ovarian cancer cell lines, and that 14-3-3sigma hypermethylation correlated with loss of its expression by immunohistochemistry. In the present study, our aim is to determine the value of 14-3-3sigma in predicting disease outcome in series of patients with epithelial ovarian cancer.

MATERIALS AND METHODS

A tumor microarray (TMA) of 192 patients with a very detailed characteristic and follow-up was performed. The slides were immunostained with 14-3-3sigma antibody and its expression was correlated with age, tumor types, grade, stage, volume of residual tumor, response to therapy, overall survival (OS) and disease-free survival (DFS).

RESULTS

A marginal association with the volume of residual tumor after surgery (chi2 p = 0.044, Fischer's exact 0.051) was seen. There was no association between loss of 14-3-3sigma expression and any of age, stage, grade, tumor subtypes, and clinical response to therapy. Survival analysis according to Kaplan-Meier method showed that loss of 14-3-3sigma expression was not associated with OS or DFS (p = 0.702, p = 0.118, respectively).

CONCLUSION

Even though 14-3-3sigma is involved in ovarian tumorigenesis, it does not have a prognostic value as a biomarker to predict patients' outcome.

Ovarian carcinoma subtypes are different diseases: implications for biomarker studies

BACKGROUND

Although it has long been appreciated that ovarian carcinoma subtypes (serous, clear cell, endometrioid, and mucinous) are associated with different natural histories, most ovarian carcinoma biomarker studies and current treatment protocols for women with this disease are not subtype specific. With the emergence of high-throughput molecular techniques, distinct pathogenetic pathways have been identified in these subtypes. We examined variation in biomarker expression rates between subtypes, and how this influences correlations between biomarker expression and stage at diagnosis or prognosis.

METHODS AND FINDINGS

In this retrospective study we assessed the protein expression of 21 candidate tissue-based biomarkers (CA125, CRABP-II, EpCam, ER, F-Spondin, HE4, IGF2, K-Cadherin, Ki-67, KISS1, Matriptase, Mesothelin, MIF, MMP7, p21, p53, PAX8, PR, SLPI, TROP2, WT1) in a population-based cohort of 500 ovarian carcinomas that was collected over the period from 1984 to 2000. The expression of 20 of the 21 biomarkers differs significantly between subtypes, but does not vary across stage within each subtype. Survival analyses show that nine of the 21 biomarkers are prognostic indicators in the entire cohort but when analyzed by subtype only three remain prognostic indicators in the high-grade serous and none in the clear cell subtype. For example, tumor proliferation, as assessed by Ki-67 staining, varies markedly between different subtypes and is an unfavourable prognostic marker in the entire cohort (risk ratio [RR] 1.7, 95% confidence interval [CI] 1.2%-2.4%) but is not of prognostic significance within any subtype. Prognostic associations can even show an inverse correlation within the entire cohort, when compared to a specific subtype. For example, WT1 is more frequently expressed in high-grade serous carcinomas, an aggressive subtype, and is an unfavourable prognostic marker within the entire cohort of ovarian carcinomas (RR 1.7, 95% CI 1.2%-2.3%), but is a favourable prognostic marker within the high-grade serous subtype (RR 0.5, 95% CI 0.3%-0.8%).

CONCLUSIONS

The association of biomarker expression with survival varies substantially between subtypes, and can easily be overlooked in whole cohort analyses. To avoid this effect, each subtype within a cohort should be analyzed discretely. Ovarian carcinoma subtypes are different diseases, and these differences should be reflected in clinical research study design and ultimately in the management of ovarian carcinoma.

Serum and tissue biomarkers as predictive and prognostic variables in epithelial ovarian cancer

Tumour stage, residual disease after initial surgery, histological type and tumour grade are the most important clinical-pathological factors related to the clinical outcome of patients with epithelial ovarian cancer. In the last years, several investigations have assessed different biological variables in sera and in tissue samples from patients with this malignancy in order to detect biomarkers able to reflect either the response to chemotherapy or survival. The present paper reviewed the literature data about the predictive or prognostic relevance of serum CA 125, soluble cytokeratin fragments, serum human kallikreins, serum cytokines, serum vascular endothelial growth factor and plasma d-dimer as well as of tissue expression of cell cycle- and apoptosis-regulatory proteins, human telomerase reverse transcriptase, membrane tyrosine kinase receptors and matrix metalloproteinases. A next future microarray technology will hopefully offer interesting perspectives of translational research for the identification of novel predictive and prognostic biomarkers for epithelial ovarian cancer.

The Cdk inhibitor p27 in human cancer: prognostic potential and relevance to anticancer therapy

The cyclin-dependent kinase (Cdk) inhibitor p27 (also known as KIP1) regulates cell proliferation, cell motility and apoptosis. Interestingly, the protein can exert both positive and negative functions on these processes. Diverse post-translational modifications determine the physiological role of p27. Phosphorylation regulates p27 binding to and inhibition of cyclin-Cdk complexes, its localization and its ubiquitin-mediated proteolysis. In cancers, p27 is inactivated through impaired synthesis, accelerated degradation and by mislocalization. Moreover, studies in several tumour types indicate that p27 expression levels have both prognostic and therapeutic implications.

Alteration of cell-cycle regulation in epithelial ovarian cancer

In spite of the clinical importance of epithelial ovarian cancer (EOC), little is known about the pathobiology of its precursor lesions and progression. Regulatory mechanisms of the cell cycle are mainly composed of cyclins, cyclin-dependent kinases (CDK), and CDK inhibitors. Alteration of these mechanisms results in uncontrolled cell proliferation, which is a distinctive feature of human cancers. This review describes the current state of knowledge about the alterations of cell-cycle regulations in the context of p16-cyclin D1-CDK4/6-pRb pathway, p21-p27-cyclin E-CDK2 pathway, p14-MDM2-p53 pathway, and ATM-Chk2-CDC25 pathway, respectively. Recent evidence suggests that ovarian cancer is a heterogenous group of neoplasms with several different histologic types, each with its own underlying molecular genetic mechanism. Therefore, expression of cell cycle regulatory proteins should be tested separately according to each histologic type. In serous ovarian carcinoma, high expression of p16, p53, and p27 and low expression of p21 and cyclin E were shown. In addition, this review focuses on the prognostic significance of cell cycle-regulating proteins in EOC. However, it is difficult to compare the results from different groups due to diverse methodologies and interpretations. Accordingly, researchers should establish standardized criteria for the interpretation of immunohistochemical results.

A hybrid machine learning-based method for classifying the Cushing's Syndrome with comorbid adrenocortical lesions

BACKGROUND

The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. It follows from a comprehensive statistical analysis that a number of antigens such as hTERT, PCNA and Ki-67 can be considered as cancer markers, while another set of antigens such as P27KIP1 and FHIT are possible markers for normal tissue. Because more than one marker must be considered to obtain a classification of cancer or no cancer, and if cancer, to classify it as malignant, borderline, or benign, we must develop an intelligent decision system that can fullfill such an unmet medical need.

RESULTS

We have developed an intelligent decision system using machine learning techniques and markers to characterize tissue as cancerous, non-cancerous or borderline. The system incorporates learning techniques such as variants of support vector machines, neural networks, decision trees, self-organizing feature maps (SOFM) and recursive maximum contrast trees (RMCT). These variants and algorithms we have developed, tend to detect microscopic pathological changes based on features derived from gene expression levels and metabolic profiles. We have also used immunohistochemistry techniques to measure the gene expression profiles from a number of antigens such as cyclin E, P27KIP1, FHIT, Ki-67, PCNA, Bax, Bcl-2, P53, Fas, FasL and hTERT in several particular types of neuroendocrine tumors such as pheochromocytomas, paragangliomas, and the adrenocortical carcinomas (ACC), adenomas (ACA), and hyperplasia (ACH) involved with Cushing's syndrome. We provided statistical evidence that higher expression levels of hTERT, PCNA and Ki-67 etc. are associated with a higher risk that the tumors are malignant or borderline as opposed to benign. We also investigated whether higher expression levels of P27KIP1 and FHIT, etc., are associated with a decreased risk of adrenomedullary tumors. While no significant difference was found between cell-arrest antigens such as P27KIP1 for malignant, borderline, and benign tumors, there was a significant difference between expression levels of such antigens in normal adrenal medulla samples and in adrenomedullary tumors.

CONCLUSIONS

Our frame work focused on not only different classification schemes and feature selection algorithms, but also ensemble methods such as boosting and bagging in an effort to improve upon the accuracy of the individual classifiers. It is evident that when all sorts of machine learning and statistically learning techniques are combined appropriately into one integrated intelligent medical decision system, the prediction power can be enhanced significantly. This research has many potential applications; it might provide an alternative diagnostic tool and a better understanding of the mechanisms involved in malignant transformation as well as information that is useful for treatment planning and cancer prevention.

Expression and prognostic significance of cyclin D3 in ovarian adenocarcinomas

Abnormal expression of cell cycle regulators may contribute to malignant transformation. However, the clinical significance of the expression of cyclin D3 in ovarian cancer remains undefined. We therefore conducted a retrospective investigation to address the role of this cell-cycle protein in this tumor. In our study, paraffin-embedded tissue from 109 nonbenign epithelial ovarian tumors, including 17 tumors of low malignant potential and 92 primary adenocarcinomas, was stained immunohistochemically for cyclin D3. Most of the cases had previously been stained for pRb, p21Cip1, p27Kip1, p53, and Ki-67 antigen. Expression of cyclin D3 was correlated with clinicopathologic features, the expression of other cell cycle regulators, and postoperative survival of patients. Cyclin D3 levels were significantly higher in tumors of low malignant potential than in adenocarcinomas (P = 0.0002). In the latter group, cyclin D3 expression decreased with increasing grade (P = 0.0004) and advancing stage (P = 0.0315). Cyclin D3 expression positively correlated with pRb, p21Cip1, and p27Kip1 levels (P = 0.0021; P = 0.0036; P < 0.0001, respectively) and negatively with p53 and Ki-67 (P = 0.0003; P < 0.0001). Absent cyclin D3 expression was an important indicator of poor survival in univariate analysis in the entire cohort (P > 0.00010) and in the platinum-treated patients (P = 0.001) and in multivariate analysis (P = 0.044). Our results demonstrate that absent or decreased cyclin D3 expression is adversely related to several clinicopathologic indicators of aggressiveness in ovarian adenocarcinomas and is combined with a better prognosis, suggesting that cyclin D3 may have a biological role distinct from that of other G1 cyclins which is possibly regulated through interaction with other cell cycle genes.

Minichromosome maintenance proteins 2 and 5 in non-benign epithelial ovarian tumours: relationship with cell cycle regulators and prognostic implications

Minichromosome maintenance proteins (MCM) have recently emerged as novel proliferation markers with prognostic implications in several tumour types. This is the first study investigating MCM-2 and MCM-5 immunohistochemical expression in a series of ovarian adenocarcinomas and low malignant potential (LMP) tumours aiming to determine possible associations with clinicopathological parameters, the conventional proliferation index Ki-67, cell cycle regulators (p53, p27(Kip1), p21(WAF1) and pRb) and patients' outcome. Immunohistochemistry was applied in a series of 43 cases of ovarian LMP tumours and 85 cases of adenocarcinomas. Survival analysis was restricted to adenocarcinomas. The median MCM-2 and MCM-5 labelling indices (LIs) were significantly higher in adenocarcinomas compared to LMP tumours (P<0.0001 for both associations). In adenocarcinomas, the levels of MCM-2 and MCM-5 increased significantly with advancing tumour stage (P=0.0052 and P=0.0180, respectively), whereas both MCM-2 and MCM-5 increased significantly with increasing tumour grade (P=0.0002 and P=0.0006, respectively) and the presence of bulky residual disease (P<0.0001 in both relationships). A strong positive correlation was established between MCM-2 or MCM-5 expression level and Ki-67 LI (P<0.0001) as well as p53 protein (P=0.0038 and P=0.0500, respectively). Moreover, MCM-2 LI was inversely correlated with p27(Kip-1) LI (P=0.0068). Finally, both MCM-2 and MCM-5 were associated significantly with adverse patients' outcome in both univariate (> or =20 vs >20%, P=0.0011 and > or =25 vs <25%, P=0.0100, respectively) and multivariate (P=0.0001 and 0.0090, respectively) analysis. An adequately powered independent group of 45 patients was used in order to validate our results in univariate survival analysis. In this group, MCM-2 and MCM-5 expression retained their prognostic significance (P<0.0001 in both relationships). In conclusion, MCM-2 and MCM-5 proteins appear to be promising as prognostic markers in patients with ovarian adenocarcinomas.

The effects of ovulation induction on ovarian epithelium dysplasia scores and Ki67 expression: an experimental study on rats

We aimed to evaluate the effects of ovulation induction on Ki67 expression and dysplasia scores of female rat ovaries. Twenty female Wistar rats were randomized either to receive 150 IU/kg human menopausal gonadotropin on estrous day 2 and 75 IU/kg human chorionic gonadotropin on the day of preestrous (induction group, n= 10) or saline as placebo on the corresponding days (control group, n= 10). After five estrous cycles bilateral oophorectomy was performed to compare the Ki67 expression and dysplasia score of the ovarian epithelium. The mean number of the cells that stained positive for Ki67 was 159.6 +/- 101.92 in the follicles, 283.4 +/- 42 in the corpus luteum, and 151 +/- 75.1 in the stroma of the study group compared to 41.8 +/- 35.6 (P= 0.03), 43.2 +/- 28.3 (P= 0.007), and 55.6 +/- 18.6 (P= 0.01), respectively, in the control group. The mean number and rate of cells that stained positive for Ki67 in the epithelium was significantly higher in the ovulation induction group (758 +/- 71 and 63 +/- 1.6%, respectively) compared to the control group (386 +/- 23, P < 0.001; and 60 +/- 1.1%, P < 0.001; respectively). The mean dysplasia score was significantly higher (9.6 +/- 1.3) in the study group compared to the control group (5.08 +/- 0.9, P < 0.001). Ovulation induction in rats resulted in increased Ki67 expression and dysplastic features in the ovarian epithelial cells.

Survival analysis in advanced epithelial ovarian carcinoma in relation to proliferative index of MIB-1 immunostaining

AIM

To evaluate the survival of patients with advanced epithelial ovarian carcinoma in relation to MIB-1 immunostaining, to determine the association between MIB-1 and clinicopathologic variables, and to identify an appropriate cut-off point for MIB-1 immunostaining as a prognostic marker.

METHODS

We retrospectively reviewed the medical records of women diagnosed with advanced epithelial ovarian carcinoma during 1987-1998. The paraffin-embedded tissue of recruited women was stained with MIB-1 immunostaining for review.

RESULTS

The records of 105 patients were included. The percentage staining of MIB-1 ranged from 0.3 to 100%, with a median of 11.9%. MIB-1 staining was generally higher in serous tumors than in other types (P = 0.048), but was not associated with other potential prognostic indicators. The 5-year survival rate among advanced epithelial ovarian carcinoma patients was 25.7%, while that in the high MIB-1 (greater than or equal to median) and low MIB-1 (less than median) patients was 15.1% (95% confidence interval [CI] = 7.1-26.0) and 36.5% (95% CI = 23.8-49.4), respectively. Median survival times in the two groups were 1.8 years and 3.0 years, respectively (P < 0.008). Division of the MIB-1 staining percentage into quartiles showed that the risk of death increased from the first to the second quartile (>/=7.6 to <11.9%, hazard ratio = 2.36, 95% CI = 1.22-4.54) with no further increase in higher quartiles.

CONCLUSION

Among patients with advanced epithelial ovarian carcinoma, MIB-1 immunostaining was higher in serous than in other histologic types. Levels of MIB-1 staining above the cut-off point of 7.6% had significantly poorer survival.

Distinction between serous tumors of low malignant potential and serous carcinomas based on global mRNA expression profiling

OBJECTIVES

The molecular pathogenesis of ovarian serous tumors of low malignant potential (S-LMP) is not well understood, although the collective data suggest that they arise through molecular mechanisms distinct from those leading to conventional serous carcinomas (S-Ca). To further examine the molecular differences between these two diseases, we studied the gene expression pattern of ovarian S-LMP and S-Ca using high-density spotted cDNA and tissue microarrays.

METHODS

Total RNA from 23 ovarian S-LMP and S-Ca was analyzed on 43,200 spot cDNA microarrays and the differential expression of proteins encoded by differentially expressed genes was validated using tissue microarrays.

RESULTS

Unsupervised hierarchical clustering analysis of filtered data showed a complete separation between S-LMP and S-Ca, based predominantly on a small set of genes expressed at higher levels in S-LMP than in S-Ca. Many genes previously identified as up-regulated in ovarian carcinoma relative to normal ovarian tissue were expressed at even higher levels in S-LMP. These genes included mucin-1, mesothelin, HE4, PAX 8, and apolipoprotein J/clusterin. Immunohistochemical staining of tissue microarrays confirmed higher expression of selected proteins encoded by these genes in the S-LMP. Few genes were expressed at a higher level in S-Ca; these included E2F1, topoisomerase IIalpha, and cyclin E, with higher levels of cyclin E protein confirmed by immunohistochemistry.

CONCLUSIONS

S-LMP and S-Ca are distinguished at the molecular level by a relatively small gene set, suggesting the pathogenesis of S-LMP as well as S-Ca may involve molecular pathways that escape detection by global gene expression profiling. In order to obtain biologically and clinically relevant information about the mechanisms involved in ovarian carcinogenesis, future studies based on molecular profiles of ovarian cancer should include analyses of low malignant potential tumors. Inclusion of such tumors is also critical to the evaluation of the efficacy of potential new diagnostic and/or therapeutic biomarkers.

Lineage infidelity of epithelial ovarian cancers is controlled by HOX genes that specify regional identity in the reproductive tract

Although epithelial ovarian cancers (EOCs) have been thought to arise from the simple epithelium lining the ovarian surface or inclusion cysts, the major subtypes of EOCs show morphologic features that resemble those of the müllerian duct-derived epithelia of the reproductive tract. We found that HOX genes, which normally regulate mullerian duct differentiation, are not expressed in normal ovarian surface epithelium (OSE), but are expressed in different EOC subtypes according to the pattern of mullerian-like differentiation of these cancers. Ectopic expression of Hoxa9 in tumorigenic mouse OSE cells gave rise to papillary tumors resembling serous EOCs. In contrast, Hoxa10 and Hoxa11 induced morphogenesis of endometrioid-like and mucinous-like EOCs, respectively. Hoxa7 showed no lineage specificity, but promoted the abilities of Hoxa9, Hoxa10 and Hoxa11 to induce differentiation along their respective pathways. Therefore, inappropriate activation of a molecular program that controls patterning of the reproductive tract could explain the morphologic heterogeneity of EOCs and their assumption of müllerian-like features.

Molecular and prognostic distinction between serous ovarian carcinomas of varying grade and malignant potential

Profiles of gene transcription have begun to delineate the molecular basis of ovarian cancer, including distinctions between carcinomas of differing histology, tumor progression and patient outcome. However, the similarities and differences among the most commonly diagnosed noninvasive borderline (low malignant potential, LMP) lesions and invasive serous carcinomas of varying grade (G1, G2 and G3) have not yet been explored. Here, we used oligonucleotide arrays to profile the expression of 12,500 genes in a series of 57 predominantly stage III serous ovarian adenocarcinomas from 52 patients, eight with borderline tumors and 44 with adenocarcinomas of varying grade. Unsupervised and supervised analyses showed that LMP lesions were distinct from high-grade serous adenocarcinomas, as might be expected; however, well-differentiated (G1) invasive adenocarcinomas showed a strikingly similar profile to LMP tumors as compared to cancers with moderate (G2) or poor (G3) cellular differentiation, which were also highly similar. Comparative genomic hybridization of an independent cohort of five LMP and 63 invasive carcinomas of varying grade demonstrated LMP and G1 were again similar, exhibiting significantly less chromosomal aberration than G2/G3 carcinomas. A majority of LMP and G1 tumors were characterized by high levels of p21/WAF1, with concomitant expression of cell growth suppressors, gadd34 and BTG-2. In contrast, G2/G3 cancers were characterized by the expression of genes associated with the cell cycle and by STAT-1-, STAT-3/JAK-1/2-induced gene expression. The distinction between the LMP-G1 and G2-G3 groups of tumors was highly correlated to patient outcome (chi(2) for equivalence of death rates=7.681189; P=0.0056, log-rank test). Our results are consistent with the recent demonstration of a poor differentiation molecular 'meta-signature' in human cancer, and underscore a number of cell-cycle- and STAT-associated targets that may prove useful as points of therapeutic intervention for those patients with aggressive disease.

Paradoxes of Non-Trivial Gene Networks: How Cancer-Causing Mutations Can Appear to Be Cancer-Protective

Abnormalities of gene structure or expression are commonly found in cancers, where they are used as prognostic markers, predicting the likely severity of disease or chances of response to therapy. An odds ratio (OR) of <1 indicates that a marker's presence is correlated with better outcome. An OR of <1 is also often taken to mean that the gene concerned has a protective effect in the mechanism of cancer. I show that this is not necessarily so. Modeling of the genes involved in the causation of cancer as a network of weak, failure-prone elements shows that "cancer-causing" genes (i.e., genes whose abnormality is causal in driving cancer) can nevertheless appear as "protective" markers in later stage cancers. This implies that results suggesting that well-known oncogenes have an OR of <1 are quite valid, and that predicting a "protective" role from an apparently protective prognostic value is not valid. I identify mdm-2 and bax as candidates for genes with an apparently protective role through this mechanism.

Expression of p27 and p53: comparative analysis of uterine carcinosarcoma and endometrial carcinoma

The aim of the study was to assess both p27 and p53 expression in the stromal and epithelial component of carcinosarcoma and to assess if their expression in the latter is different than in endometrial carcinoma. Immunohistochemical staining for p27 and p53 was performed on paraffin-embedded tissue blocks of 18 uterine specimens with carcinosarcoma and their expression assessed. Their expression in the epithelial element was also compared to that in 35 paraffin-embedded tissue blocks of endometrial endometrioid carcinoma. Reduced p27 expression was observed in a similarly high proportion of the stromal (77.8%) as well as of the epithelial component (66.7%) of carcinosarcoma. Although statistically not significant, the proportion of reduced p27 expression in endometrial carcinoma (85.7%) was higher than in the epithelial element of carcinosarcoma. The percentage of p53 overexpression in both elements of carcinosarcomas and in endometrial carcinomas was low and also similar (27.8 and 20.0%, respectively). Our results indicate that reduced p27 expression is common and p53 overexpression is infrequent in carcinosarcoma. Their similar rates of expression in the stromal and epithelial elements of the tumor support the contention of a monoclonal origin of carcinosarcoma. Unexpectedly, reduced p27 expression is more common in endometrial carcinoma than in the epithelial element of carcinosarcoma, in spite of the less favorable prognosticators and outcome in the latter. Further studies of p27 expression in carcinosarcoma are indicated to establish its clinical value in this aggressive malignancy.

Targeted therapy for epithelial ovarian cancer: Current status and future prospects

Despite advances in surgery and chemotherapy, less than 20% of patients with stage III or IV ovarian cancer survive long-term. In the past, cytotoxic regimens have been developed empirically, combining active agents at maximally tolerated doses, often without a clear rationale for their interaction. Advances in understanding the biology of ovarian cancer have identified multiple molecular targets that differ in normal and malignant cells. Targets include cell cycle regulators, growth factor receptors, signal transduction pathways, molecules that confer drug resistance, and angiogenic mechanisms. A number of targeted agents have entered clinical trials. Small molecular weight inhibitors, monoclonal antibodies, and antisense and gene therapy are all being evaluated alone and in combination with cytotoxic drugs. In contrast to earlier studies, the impact of each agent on the designated target can be assessed and agents can be matched to the genotype and phenotype of malignant and normal cells. In the long run, this should facilitate individualization of more effective, less toxic therapy for women with ovarian cancer.

A simple way of quantifying immunostained cell nuclei on the whole histologic section

BACKGROUND

Quantification of nuclei, immunostained for proliferation or differentiation markers, is widely recommended for prognostication and treatment of numerous solid tumors. However, many problems concerning reproducibility of the results obtained still remain, partially due to the lack of standardization of the method used and to the difficulty of taking into account tumor tissue heterogeneity. Technical solutions exist but they are expensive and time consuming, and their complexity limits their diffusion in routine pathology departments.

METHODS

In the present study, we use a simple, fast and inexpensive system of acquisition, a 4,000 dots-per-inch slide scanner, to get a single true color numerical image of the whole histologic section. The analysis is done thanks to fully automatic image processing, allowing computation of the stain proportion on the whole histologic section, as well as in "hot spots."

RESULTS

After having precisely fixed settings of the slide scanner, one can easily detect counterstained and immunostained structures, by image analysis. This simple and stable processing can be done under 6 min.

CONCLUSIONS

The association of immunohistochemistry, stable acquisition device and computer-assisted image analysis provides an objective, reproducible, and easy to standardize quantification of the nuclear markers, in relation to the total tumor tissue architecture.

Prognostic value of P-glycoprotein and proliferative index in advanced low grade serous ovarian carcinomas

The aim of this study was to test the prognostic value of p-glycoprotein expression and the proliferative index of tumor cells on the clinical response to chemotherapy, on the brief disease-free interval (< 12 months) and on cause-specific survival in advanced ovarian carcinoma. We evaluated 83 ovarian carcinoma patients homogeneous for stage, type and grade histological. Brief disease-free interval and cause-specific survival rates (Kaplan-Meier method) were compared using the log rank test. Multivariate analysis (Cox proportional hazards models) was used to determine the independent effect of each variable on prognosis. In the univariate analysis, P-glycoprotein expression (P < 0.0005) and proliferative index (P = 0.0003 and P = 0.0006) were independent predictors of survival and brief disease-free interval; residual disease was associated with survival (P = 0.021). In multivariate analysis (Cox proportional hazards models), P-glycoprotein expression (P = 0.001 and P = < 0.0005) and proliferative index (P = 0.081 and P = 0.041) were independent predictors of brief disease-free interval and survival. P-glycoprotein expression (P < 0.0005) and proliferative index (P = 0.008) were associated with clinical response to chemotherapy.

Management of port-site metastasis after laparoscopic surgery for ovarian cancer

OBJECTIVE

The purpose of this study was to define the clinical features and long-term prognosis of port-site metastasis after primary laparoscopic surgery for ovarian cancer.

STUDY DESIGN

All the patients with epithelial ovarian cancer or borderline malignancy who had undergone primary laparoscopic surgery at our institution were reviewed. The clinicopathologic parameters, flow cytometric parameters, p53, p27, bax, HER-2/neu, and bcl-2 by immunostaining, presentation of port-site implants, management of the individual patient, and long-term outcome were analyzed. CANCERLINE and MEDLINE (1960-2002) were searched for related papers.

RESULTS

Between 1993 and 2001, of the 31 patients with epithelial ovarian cancer or borderline malignancy who underwent primary laparoscopic surgery at Chang Gung Memorial Hospital, 6 (19.4%) had port-site metastasis. The other 2 patients were referred after port-site metastasis. Tumors with port-site recurrences had higher S-fraction than those without (median: 18.2% vs 9.9%, P =.003; relative risk ratio: >15.5% vs <or=15.5% = 38.33; 95% CI, 3.3-449.2). Those patients who have port-site metastasis develop during chemotherapy (n = 2) or after adequate chemotherapy had been given (n = 2) all died of cancer. Two patients have been currently alive without disease, the tumors of whom were p27-positive and p53-, HER-2/neu -, bcl-2-negative.

CONCLUSION

Port-site metastasis after laparoscopic surgery, during chemotherapy or when adequate chemotherapy has been given, is usually associated with poor outcome. Further investigations are necessary to define the mechanisms and effective management to prevent and treat this serious complication.

P21WAF1, P27KIP1, TP53 and C-MYC analysis in 204 ovarian carcinomas treated with platinum-based regimens

BACKGROUND

The prognostic and predictive value of cell cycle regulatory proteins in ovarian cancer has not been established. We evaluated the clinical and biological significance of P21(WAF1), P27(KIP1), C-MYC, TP53 and Ki67 expressions in ovarian cancer patients.

MATERIALS AND METHODS

Immunohistochemical analysis was performed on 204 ovarian carcinomas of International Federation of Gynecology and Obstetrics (FIGO) stage IIB to IV treated with platinum-based chemotherapy. Multivariate analysis with Cox and logistic regression models was performed in the whole group, and in the TP53-negative and TP53-positive subgroups.

RESULTS

High P21(WAF1) labeling index (LI) was an independent positive predictor of platinum-sensitive response (P = 0.02). Overall survival was positively influenced by P21(WAF1) LI (P = 0.02) or by P21(WAF1) plus P27(KIP1) LI (P = 0.004) in the TP53-negative group only. Ki67 LI showed borderline association with disease-free survival (P = 0.05). Growth fraction was negatively associated with P21(WAF1) and P27(KIP1) indices in the TP53-negative group (P = 0.023 and 0.008, respectively), and these associations were borderline or lost in the TP53-positive group. Endometrioid and clear cell carcinomas differed from other carcinomas by having a low incidence of TP53 accumulation, a high incidence of C-MYC overexpression (70%) and a low median Ki67 LI (all with P <0.001).

CONCLUSIONS

We have shown an independent predictive value of P21(WAF1) LI in ovarian carcinoma patients. The prognostic value of P21(WAF1) and P21(WAF1) plus P27(KIP1) LI was determined by TP53 status. A high frequency of C-MYC overexpression in endometrioid and clear cell carcinomas may suggest its role in the development of these tumor types.

Reduced retinoblastoma gene protein to Ki-67 ratio is an adverse prognostic indicator for ovarian adenocarcinoma patients

OBJECTIVE

Alterations in the retinoblastoma gene (RB-1) are common in human neoplasia. However, the clinical significance of the deregulated expression of RB-1 in ovarian cancer remains undefined. We therefore conducted a retrospective investigation to clarify the relationships of RB-1 gene protein (pRb) to the percentage of cycling cells, clinicopathologic variables, other G1 interacting proteins and prognosis of nonbenign epithelial ovarian tumors.

METHODS

Paraffin-embedded tissue from 127 nonbenign epithelial ovarian tumors, including 44 of low malignant potential (LMP) and 83 primary ovarian adenocarcinomas, was stained immunohistochemically for pRb, p21(Cip1), p27(Kip1), p53, and Ki-67 antigen (a cell proliferation associated marker). Expression of these markers was correlated with clinicopathologic features and with overall survival of patients with adenocarcinomas.

RESULTS

pRb levels were significantly lower in LMP tumors than in carcinomas (P = 0.027). In the latter group, pRb expression decreased with increasing grade (I-II vs III) (P = 0.010), advancing stage (I-II vs III) (P < 0.001), and bulk residual disease (P = 0.014). pRb was not related to Ki-67 expression (P > 0.10) or to overall survival (P > 0.10) but a low pRb to Ki-67 ratio emerged as an important indicator of poor survival in univariate analysis in the entire cohort (P = 0.0076) and in the platinum-treated patients (P = 0.0162) as well as in multivariate analysis, along with histologic type and FIGO stage.

CONCLUSIONS

Diminished pRb levels are related to several clinicopathologic indicators of aggressiveness in ovarian adenocarcinomas. More importantly, pRb expression coupled with the percentage of Ki-67 positive cells is a better prognostic marker than pRb, Ki-67, or other G1 interacting proteins and supplements the information gained from traditional prognosticators.