Interval debulking surgery for advanced epithelial ovarian cancer

Survival outcomes following interval versus primary debulking surgery in advanced epithelial ovarian cancer: A retrospective cohort study in Lagos, Southwest Nigeria

Background

There is conflicting evidence regarding the survival benefit of interval debulking surgery (IDS) compared to conventional treatment with primary debulking surgery (PDS) in women with advanced epithelial ovarian cancer (EOC).

Objectives

We compared the survivals following PDS followed by adjuvant chemotherapy (ACT) versus IDS after neoadjuvant chemotherapy (NACT) in women with advanced EOC at the gynaecological oncology unit of a tertiary referral centre in Lagos, Southwest Nigeria.

Methods

The data of 126 women with advanced EOC who had standard treatment with either PDS and ACT or NACT and IDS between January 2008 and December 2017 were analyzed. Kaplan-Meier estimates of progression-free (PFS) and overall survival (OS) time stratified by the types of upfront debulking surgery were calculated and compared by employing the log-rank test statistics. Cox proportional hazard models were then used to estimate hazard ratios of the association between the type of surgical debulking and survivals while adjusting for all necessary covariates.

Results

We recorded no statistically significant differences in PFS (adjusted hazard ratio=1.28, 95% confidence interval 0.82-2.01, P=0.282) and OS (adjusted hazard ratio=1.23, 95% confidence interval 0.68-2.25, P=0.491) between IDS and PDS among women with advanced EOC.

Conclusions

There is a need for a larger prospective multicenter study to further compare the impact of upfront surgical debulking types on the survival of women with advanced EOC in our setting. In the meantime, giving interval debulking surgery after a few courses of neoadjuvant chemotherapy should be an acceptable standard of care for women with advanced EOC.

Factors Predicting the Health Status of Women with Ovarian Cancer During Five Treatment Phases

OBJECTIVE

The combined impact of disease status and treatment phase on the quality of life (QoL) of women with ovarian cancer has not been fully considered. Therefore, this clinical, epidemiologic study compared the QoL of patients with ovarian cancer between five different treatment phases and identified the factors predicting their QoL through multivariate modeling.

DATA SOURCES

This study had a cross-sectional survey design. The participants total of 183 were recruited from the inpatient and outpatient departments of the medical center in northern Taiwan. QoL was measured using the Quality of Life Scales QLQ-C30 and QLQ-OV28 and the Pittsburgh Sleep Quality Index. The patient's clinical characteristics data were obtained from the databank of the Taiwan Gynecologic Cancer Network, a registry of active patients being treated with gynecologic cancer.

CONCLUSION

Chemotherapeutic agents were the major predictors of poor global health status in patients with ovarian cancer. However, good sleep was beneficial to patients' QoL. The study results can be used as a reference to adjust oncological treatment regimens for more effective symptom management and to promote patient education to improve patients' QoL.

IMPLICATIONS FOR NURSING PRACTICE

The predicting factors can be considered by physicians and nurses to adjust treatment regimens and enhance patient education.

Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers

Despite recent technological advancements allowing the characterization of cancers at a molecular level along with biomarkers for cancer diagnosis, the management of ovarian cancers (OC) remains challenging. Proteins assume functions encoded by the genome and the complete set of proteins, termed the proteome, reflects the health state. Comprehending the circulatory proteomic profiles for OC subtypes, therefore, has the potential to reveal biomarkers with clinical utility concerning early diagnosis or to predict response to specific therapies. Furthermore, characterization of the proteomic landscape of tumor-derived tissue, cell lines, and PDX models has led to the molecular stratification of patient groups, with implications for personalized therapy and management of drug resistance. Here, we review single and multiple marker panels that have been identified through proteomic investigations of patient sera, effusions, and other biospecimens. We discuss their clinical utility and implementation into clinical practice.

The Significance of Preoperative Computed Tomography for Predicting Optimal Cytoreduction in Advanced Ovarian Cancer

Introduction Optimal cytoreduction is the most important prognostic factor in advanced ovarian cancer. Although staging and assessment of operability are made by exploratory surgery, preoperative computed tomography (CT) of the abdomen is regarded as standard. The aim of this study was to examine various CT parameters with regard to prediction of optimal cytoreduction. Patients and Methods The retrospective study included 131 patients with ovarian cancer newly diagnosed between 2010 and 2014. Of these, n = 36 with FIGO stage I to IIB were excluded from the study. A preoperative abdominal CT was available for n = 75 of the 95 patients with FIGO stage IIC to IV. The CT scans underwent blinded review. The 11 evaluated CT parameters were examined by means of χ 2 test and logistic regression analysis with regard to the endpoints of macroscopic residual tumour and residual tumour > 1 cm. Survival analyses used the Kaplan-Meier method and log rank test. Results Of 75 patients, 28 (37.3%) had complete tumour resection and 26 (34.7%) had residual tumour ≤ 1 cm. Residual tumours > 1 cm were found in 21 (28%) patients, five of which were not resectable. Overall survival with residual tumour > 1 cm differed significantly from the group with no macroscopic residual tumour (p = 0.003) and with residual tumour ≤ 1 cm (p = 0.04). The CT parameters tumour foci in the diaphragm, mesocolon, greater omentum and peritoneum as well as ascites correlated with macroscopic residual tumour. In the multivariate logistic regression analysis only the CT parameter intraparenchymal liver metastasis was statistically significant with regard to prediction of suboptimal tumour resection (> 1 cm) (OR 8.04; 95% CI 1.57 - 42.4; p = 0.0134). The sensitivity, specificity, PPV and NPV were 37.5, 89.7, 66.7 and 72.2%. Conclusion Although risk parameters for suboptimal tumour reduction can be identified by CT of the abdomen, surgical exploration with histological confirmation of the diagnosis is essential because of the poor diagnostic accuracy.

Serum HE4 superior to CA125 in predicting poorer surgical outcome of epithelial ovarian cancer

Epithelial ovarian cancer (EOC) remains the deadliest form of gynecological cancers. Optimal tumor debulking, no matter the primary or the interval, is the most important prognostic factor for EOC, so there is an urgent demand for biomarkers to predict surgical outcome. The aim of this study was to investigate whether serum human epididymis protein 4 (HE4) and cancer antigen 125 (CA125) could predict surgical outcome of EOC. The levels of preoperative serum HE4 and CA125 were determined by electrochemiluminescence (ECLIA) in 82 EOC patients, comprising 39 subjected to primary debulking surgery (PDS) and 43 with extensive stage III or IV disease to neoadjuvant chemotherapy followed by interval debulking surgery (NACT-IDS). Among 39 patients subjected to primary debulking surgery, HE4 was superior to CA125 in predicting surgical outcome (area under curve [AUC] 0.758 vs. 0.633). At a cutoff of 353.22 pmol/L, HE4 reached 77.4 % in sensitivity and 75 % in specificity. The prediction of surgical outcome of interval debulking surgery based on preoperative HE4 and CA125 values was performed in 43 patients who received NACT-IDS. The difference of AUC between HE4 and CA125 (0.793 vs. 0.663) indicating that HE4 was the better biomarker to predict surgical outcome of IDS. A pre-IDS HE4 value of 154.3 pmol/L is the optimal cutoff to identify patients who would not benefit from IDS with a sensitivity of 92.9 % and a specificity of 69 %. The change (>70 %) of HE4 before and after neoadjuvant chemotherapy could predict optimal interval debulking surgery. Serum HE4 was superior to CA125 in predicting surgical outcome of primary debulking surgery and interval debulking surgery. The change (absolute value or percentage) of HE4 in neoadjuvant chemotherapy could predict the outcome of interval debulking surgery.

Advanced Ovarian Cancer: Primary or Interval Debulking? Five Categories of Patients in View of the Results of Randomized Trials and Tumor Biology: Primary Debulking Surgery and Interval Debulking Surgery for Advanced Ovarian Cancer

BACKGROUND

Standard treatment of stage III and IV advanced ovarian cancer (AOC) consists of primary debulking surgery (PDS) followed by chemotherapy. Since the publication of the European Organisation for Research and Treatment of Cancer/National Cancer Institute of Canada trial, clinical practice has changed and many AOC patients are now treated with neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS). The best option remains unclear. Ovarian cancer is a heterogenic disease. Should we use the diversity in biology of the tumor and patterns of tumor localization to better stratify patients between both approaches?

METHODS

This analysis was based on results of five phase III randomized controlled trials on PDS and IDS in AOC patients, three Cochrane reviews, and four meta-analyses.

RESULTS

There is still no evidence that NACT-IDS is superior to PDS. Clinical status, tumor biology, and chemosensitivity should be taken into account to individualize surgical approach. Nonserous (type 1) tumors with favorable prognosis are less chemosensitive, and omitting optimal PDS will lead to less favorable outcome. For patients with advanced serous ovarian cancer (type 2) associated with severe comorbidity or low performance status, NACT-IDS is the preferred option.

CONCLUSION

We propose stratifying AOC patients into five categories according to patterns of tumor spread (reflecting the biologic behavior), response to chemotherapy, and prognosis to make a more rational decision between PDS and NACT-IDS.

IMPLICATIONS FOR PRACTICE

Trial results regarding effect and timing of debulking surgery on survival of patients with advanced ovarian cancer have been inconsistent and hence difficult to interpret. This review examines all randomized trials on primary and interval debulking surgery in advanced ovarian cancer, including the results of the newly published CHORUS (chemotherapy or upfront surgery for newly diagnosed advanced ovarian cancer) trial. On the basis of findings presented in this review and in view of recent molecular data on the heterogeneity of ovarian tumors, we propose prognostic categorization for patients with advanced ovarian cancer to better distinguish those who would optimally benefit from primary debulking from those who would better benefit from interval debulking following neoadjuvant chemotherapy.

Estimating health-state utility values for patients with recurrent ovarian cancer using Functional Assessment of Cancer Therapy - General mapping algorithms

OBJECTIVES

In the absence of EuroQol 5D data, mapping algorithms can be used to predict health-state utility values (HSUVs) for use in economic evaluation. In a placebo-controlled Phase II study of olaparib maintenance therapy (NCT00753545), health-related quality of life was measured using the Functional Assessment of Cancer Therapy - Ovarian (FACT-O) questionnaire. Our objective was to generate HSUVs from the FACT-O data using published mapping algorithms.

MATERIALS AND METHODS

Algorithms were identified from a review of the literature. Goodness-of-fit and patient characteristics were compared to select the best-performing algorithm, and this was used to generate base-case HSUVs for the intention-to-treat population of the olaparib study and for patients with breast cancer antigen mutations.

RESULTS

Four FACT - General (the core component of FACT-O) mapping algorithms were identified and compared. Under the preferred algorithm, treatment-related adverse events had no statistically significant effect on HSU (P>0.05). Discontinuation of the study treatment and breast cancer antigen mutation status were both associated with a reduction in HSUVs (-0.06, P=0.0009; and -0.03, P=0.0511, respectively). The mean HSUV recorded at assessment visits was 0.786.

CONCLUSION

FACT - General mapping generated credible HSUVs for an economic evaluation of olaparib. As reported in other studies, different algorithms may produce significantly different estimates of HSUV. For this reason, it is important to test whether the choice of a specific algorithm changes the conclusions of an economic evaluation.

Ascites Increases Expression/Function of Multidrug Resistance Proteins in Ovarian Cancer Cells

Chemotherapy resistance is the major reason for the failure of ovarian cancer treatment. One mechanism behind chemo-resistance involves the upregulation of multidrug resistance (MDR) genes (ABC transporters) that effectively transport (efflux) drugs out of the tumor cells. As a common symptom in stage III/IV ovarian cancer patients, ascites is associated with cancer progression. However, whether ascites drives multidrug resistance in ovarian cancer cells awaits elucidation. Here, we demonstrate that when cultured with ascites derived from ovarian cancer-bearing mice, a murine ovarian cancer cell line became less sensitive to paclitaxel, a first line chemotherapeutic agent for ovarian cancer patients. Moreover, incubation of murine ovarian cancer cells in vitro with ascites drives efflux function in these cells. Functional studies show ascites-driven efflux is suppressible by specific inhibitors of either of two ABC transporters [Multidrug Related Protein (MRP1); Breast Cancer Related Protein (BCRP)]. To demonstrate relevance of our findings to ovarian cancer patients, we studied relative efflux in human ovarian cancer cells obtained from either patient ascites or from primary tumor. Immortalized cell lines developed from human ascites show increased susceptibility to efflux inhibitors (MRP1, BCRP) compared to a cell line derived from a primary ovarian cancer, suggesting an association between ascites and efflux function in human ovarian cancer. Efflux in ascites-derived human ovarian cancer cells is associated with increased expression of ABC transporters compared to that in primary tumor-derived human ovarian cancer cells. Collectively, our findings identify a novel activity for ascites in promoting ovarian cancer multidrug resistance.

Neoadjuvant chemotherapy in gynaecological cancers - Implications for staging

The management of advanced gynaecological cancers remains a therapeutic challenge. Neoadjuvant chemotherapy has been used to reduce tumour size, thus facilitating subsequent local treatment in the form of surgery or radiation. For advanced epithelial ovarian cancer, data from several non-randomized and one randomized studies indicate that neoadjuvant chemotherapy followed by interval debulking surgery is a reasonable approach in patients deemed inoperable. Such an approach results in optimum debulking (no visible tumour) in approximately 40% of the patients with reduced operative morbidity. Overall and progression free-survival is comparable to the group treated with primary debulking surgery followed by chemotherapy. Neoadjuvant chemotherapy followed by surgery is associated with improved survival for women with stage IB2-IIA cervix cancer. There is a resurgence of interest for using short-course neoadjuvant chemotherapy prior to concurrent chemo-radiation. Currently, this is being tested in randomized trials.

Histones and their modifications in ovarian cancer - drivers of disease and therapeutic targets

Epithelial ovarian cancer has the highest mortality of the gynecological malignancies. High grade serous epithelial ovarian cancer (SEOC) is the most common subtype, with the majority of women presenting with advanced disease where 5-year survival is around 25%. Platinum-based chemotherapy in combination with paclitaxel remains the most effective treatment despite platinum therapies being introduced almost 40 years ago. Advances in molecular medicine are underpinning new strategies for the treatment of cancer. Major advances have been made by international initiatives to sequence cancer genomes. For SEOC, with the exception of TP53 that is mutated in virtually 100% of these tumors, there is no other gene mutated at high frequency. There is extensive copy number variation, as well as changes in methylation patterns that will influence gene expression. To date, the role of histones and their post-translational modifications in ovarian cancer is a relatively understudied field. Post-translational histone modifications play major roles in gene expression as they direct the configuration of chromatin and so access by transcription factors. Histone modifications include methylation, acetylation, and monoubiquitination, with involvement of enzymes including histone methyltransferases, histone acetyltransferases/deacetylases, and ubiquitin ligases/deubiquitinases, respectively. Complexes such as the Polycomb repressive complex also play roles in the control of histone modifications and more recently roles for long non-coding RNA and microRNAs are emerging. Epigenomic-based therapies targeting histone modifications are being developed and offer new approaches for the treatment of ovarian cancer. Here, we discuss histone modifications and their aberrant regulation in malignancy and specifically in ovarian cancer. We review current and upcoming histone-based therapies that have the potential to inform and improve treatment strategies for women with ovarian cancer.

Serum HE4, CA125, YKL-40, bcl-2, cathepsin-L and prediction optimal debulking surgery, response to chemotherapy in ovarian cancer

Background

The most important prognostic factor in the ovarian cancer is optimal cytoreduction. The neoadjuvant chemotherapy, an only optional method of treatment in this case and is still the subject of debate. The object of this study was to evaluate the usefulness of markers: CA 125, HE4, YKL-40 and bcl-2 as well as cathepsin L in predicting optimal cytoreduction and response to chemotherapy.

Methods

Sera were secured preoperatively. The division into groups was performed retrospectively depending on the method of treatment (surgery vs neoadjuvant chemotherapy) as well as on response to chemotherapy (sensitive vs resistant vs refractory). Comparisons were made between groups, and the diagnostic usefulness of tested proteins was examined.

Results

We found that statistically significant differences between primary operated patients and patients undergoing neoadjuvant chemotherapy were applicable only to the tumour markers (CA125 1206.79 vs 2432.38, p = 0.000191; HE4 78.87 vs 602.45, p = 0.000004; YKL-40 108.13 vs 203.96, p = 0.003991). Cathepsin-L and Bcl-2 were statistically insignificant. The cut-off point values were determined for the CA 125 (345 mIU/ml), HE4 (218.43 pmol/L) and YKL-40 (140.9 ng/ml). The sensitivity, specificity, PPV and NPV were as follows: CA125 (83.3%; 75%; 80.6%; 78.3%), HE4 (86.6%; 91.3%; 92.9%; 84%) and YKL-40 (75%; 83.3%; 84%; 74.1%).

Conclusion

Among the tested proteins the HE4 marker appears to be helpful in forecasting of optimal cytoreduction and possibly also of the prediction of response to platinum analogues used in first-line treatment of ovarian cancer.