Clinical outcome and prognostic factors of patients with early-stage epithelial ovarian cancer

Lestaurtinib's antineoplastic activity converges on JAK/STAT signaling to inhibit advanced forms of therapy resistant ovarian cancer

Ovarian cancer is the deadliest gynecological malignancy, owing to its late-stage diagnosis and high rates of recurrence and resistance following standard-of-care treatment, highlighting the need for novel treatment approaches. Through an unbiased drug screen, we identified the kinase inhibitor, lestaurtinib, as a potent antineoplastic agent for chemotherapy- and PARP-inhibitor (PARPi)-sensitive and -resistant ovarian cancer cells and patient derived xenografts (PDXs). RNA-sequencing revealed that lestaurtinib potently suppressed JAK/STAT signaling and lestaurtinib efficacy was shown to be directly related to JAK/STAT pathway activity in cell lines and PDX models. Most ovarian cancer cells exhibited constitutive JAK/STAT pathway activation and genetic loss of STAT1 and STAT3 resulted in growth inhibition. Lestaurtinib also displayed synergy when combined with cisplatin and olaparib, including in a model of PARPi resistance. In contrast, the most well-known JAK/STAT inhibitor, ruxolitinib, lacked antineoplastic activity against all ovarian cancer cell lines and PDX models tested. This divergent behavior was reflected in the ability of lestaurtinib to block both Y701/705 and S727 phosphorylation of STAT1 and STAT3, whereas ruxolitinib failed to block S727. Consistent with these findings, lestaurtinib additionally inhibited JNK and ERK activity, leading to more complete suppression of STAT phosphorylation. Concordantly, combinatorial treatment with ruxolitinib and a JNK or ERK inhibitor resulted in synergistic antineoplastic effects at dose levels where single agents were ineffective. Taken together, these findings indicate that lestaurtinib, and other treatments that converge on JAK/STAT signaling, are worthy of further pre-clinical and clinical exploration for the treatment of highly aggressive and advanced forms of ovarian cancer.

Statement of significance

Lestaurtinib is a novel inhibitor of ovarian cancer, including chemotherapy- and PARPi-resistant models, that acts through robust inhibition of the JAK/STAT pathway and synergizes with standard-of-care agents at clinically relevant concentrations.

A novel clinical nomogram for predicting cancer-specific survival in patients with non-serous epithelial ovarian cancer: A real-world analysis based on the Surveillance, Epidemiology, and End Results database and external validation in a tertiary center

BACKGROUND

Currently, there is a lack of prognostic evaluation methods for non-serous epithelial ovarian cancer (EOC).

METHOD

We collected patients with non-serous EOC diagnosed between 2010 and 2017 from the Surveillance, Epidemiology, and End Results (SEER) database into a training cohort (n = 2078) and an internal validation cohort (n = 891). Meanwhile, patients meeting the criteria were screened from the Fujian Provincial Maternal and Child Health Hospital from 2013 to 2022 as an external validation cohort (n = 56). Univariate and multivariable logistic regression were used to determine the independent prognostic factors of cancer-specific survival (CSS) to construct the nomogram. The nomogram was validated by the concordance index (C-index), receiver operating characteristics (ROC) curve and calibration curves.

RESULT

Age, laterality, preoperative CA125 status, histologic type, tumor grade, AJCC stage, surgery lesion, number of lymph nodes examined, residual lesion size, and bone metastasis were identified as independent prognostic factors to construct the nomogram. The nomogram showed better predictive ability than FIGO stage through internal and external cohorts validation. The C-index of the nomogram in the training cohort, validation cohort, and external validation cohort were 0.831, 0.835 and 0.944 higher than those of the Federation International of Gynecology and Obstetric (FIGO) stage, P<0.05. The Area Under Curve (AUC) values results indicated great clinical usefulness of the nomogram. The calibration curve indicated good agreement between the nomogram prediction and actual survival.

CONCLUSION

We developed a nomogram with high predictive accuracy to predict survival in patients with non-serous EOC.

Prognostic factors in young women with epithelial ovarian cancer: the Young Ovarian Cancer-Care (YOC-Care) study

OBJECTIVE

To determine oncological outcomes and to identify prognostic factors in women aged <45 years with epithelial ovarian cancer.

METHODS

A multicenter retrospective study was performed of patients treated for epithelial ovarian cancer aged <45 years between January 2010 and December 2019.

RESULTS

A total of 998 patients with epithelial ovarian cancer from 55 different institutions in Spain were collected. The median age of the study population was 40.8 years (range 35.6-43.4). The grouped International Federation of Gynecology and Obstetrics (FIGO) stage distribution was 508 (50.9%) patients in initial stages (I and II) and 490 (49.1%) with advanced stages (III and IV). Three hundred and twenty-five (32.6%) patients presented with recurrent disease after a median follow-up of 33.1 months (range 16.1-66.4). The type of staging surgery (incomplete vs complete), type of initial treatment modality (primary cytoreduction vs interval surgery), and amount of residual disease were all significantly associated with overall survival. Tumor rupture was noted in 288 (27.9%) cases, but it was not associated with oncologic outcomes (p=0.11 for overall survival). In the multivariate analysis, the response based on radiological findings (HR 3.24, 95% CI 2.14 to 4.91 for partial response; HR 6.93, 95% CI 4.79 to 10.04 for progression), neoadjuvant chemotherapy (HR 1.42, 95% CI 1.04 to 1.94), and FIGO stage (HR 1.68, 95% CI 1.40 to 2.02) were identified as independent prognostic factors associated with worse oncologic outcomes (p<0.001).

CONCLUSION

The partial and progression radiology-based response after chemotherapy, neoadjuvant chemotherapy, and advanced FIGO stage are independent prognostic factors associated with worse oncological outcomes in women aged <45 years with epithelial ovarian cancer.

Searching for prognostic markers for Stage I epithelial ovarian cancer: A role for systemic inflammatory markers

OBJECTIVE

To determine the prognostic role of systemic inflammatory markers for Stage I epithelial ovarian cancer (EOC).

MATERIALS AND METHODS

We performed a retrospective, single-center, observational study. We included patients with Stage I EOC cancer undergoing primary surgery between 1993 and 2016. Inflammatory markers were assessed by analyzing blood samples collected at initial diagnosis before EOC surgery. We evaluated these markers' association with disease-free survival (DFS) and cancer-specific survival (CSS).

RESULTS

We included 176 women in our study. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were related to both DFS and CSS in the univariate analysis. In the multivariate Cox analysis, adjuvant chemotherapy (hazard ratio [HR] 0.17, 95% confidence interval [CI] 0.04-0.71, P = 0.02) and SII ≥730 (HR 6.84, 95% CI 1.30-35.9, P = 0.023) were independent predictors of DFS, while FIGO Stage IB-IC (HR 7.91, 95% CI 1.04-59.8, P = 0.04), NLR ≥3 (HR 56.8, 95% CI 7.46-433, P < 0.001) and PLR ≥169 (HR 49.1 95% CI 11.1-217.8, P = 0.005) were independent predictors of CSS.

CONCLUSIONS

Systemic inflammatory markers are easily obtainable from patients' routine blood analyses and may represent inexpensive and reproducible prognostic markers in early-stage EOC.

Prognostic Factors Influencing Survival in Ovarian Cancer Patients: A 10-Year Retrospective Study

OBJECTIVE

To analyze the factors associated with overall survival (OS) and progression-free survival (PFS) in patients with ovarian cancer in Cyprus.

METHODS

We retrospectively analyzed data from patients with histologically confirmed epithelial ovarian cancer (EOC) and primary peritoneal cancer (PPC).

RESULTS

A total of 106 women diagnosed with ovarian cancer were included, with a median age at diagnosis of 58 years. The Kaplan-Meier survival analysis showed a median OS of 41 months (95% C.I = 36.9, 45.1), and the FIGO stage (p < 0.001), type of surgery (p < 0.001) and performance status (p < 0.001) were identified as statistically significant prognostic factors for OS. PFS analysis revealed the FIGO stage (p = 0.006) and the performance status (p < 0.001) as significant prognostic factors. Additionally, a Cox regression analysis for median OS was performed for patients with high-grade serous carcinoma, identifying the performance status, FIGO stage, and type of surgery as prognostic factors in univariate analysis. However, in the subsequent multivariate analysis, the performance status and the FIGO stage were confirmed to be the only statistically significant prognostic factors for OS (p < 0.05).

CONCLUSIONS

This study confirms that the FIGO stage, performance status, and surgery type were considered as prognostic factors for OS in ovarian cancer.

UGDH promotes tumor-initiating cells and a fibroinflammatory tumor microenvironment in ovarian cancer

BACKGROUND

Epithelial ovarian cancer (EOC) is a global health burden, with the poorest five-year survival rate of the gynecological malignancies due to diagnosis at advanced stage and high recurrence rate. Recurrence in EOC is driven by the survival of chemoresistant, stem-like tumor-initiating cells (TICs) that are supported by a complex extracellular matrix and immunosuppressive microenvironment. To target TICs to prevent recurrence, we identified genes critical for TIC viability from a whole genome siRNA screen. A top hit was the cancer-associated, proteoglycan subunit synthesis enzyme UDP-glucose dehydrogenase (UGDH).

METHODS

Immunohistochemistry was used to characterize UGDH expression in histological and molecular subtypes of EOC. EOC cell lines were subtyped according to the molecular subtypes and the functional effects of modulating UGDH expression in vitro and in vivo in C1/Mesenchymal and C4/Differentiated subtype cell lines was examined.

RESULTS

High UGDH expression was observed in high-grade serous ovarian cancers and a distinctive survival prognostic for UGDH expression was revealed when serous cancers were stratified by molecular subtype. High UGDH was associated with a poor prognosis in the C1/Mesenchymal subtype and low UGDH was associated with poor prognosis in the C4/Differentiated subtype. Knockdown of UGDH in the C1/mesenchymal molecular subtype reduced spheroid formation and viability and reduced the CD133 + /ALDH high TIC population. Conversely, overexpression of UGDH in the C4/Differentiated subtype reduced the TIC population. In co-culture models, UGDH expression in spheroids affected the gene expression of mesothelial cells causing changes to matrix remodeling proteins, and fibroblast collagen production. Inflammatory cytokine expression of spheroids was altered by UGDH expression. The effect of UGDH knockdown or overexpression in the C1/ Mesenchymal and C4/Differentiated subtypes respectively was tested on mouse intrabursal xenografts and showed dynamic changes to the tumor stroma. Knockdown of UGDH improved survival and reduced tumor burden in C1/Mesenchymal compared to controls.

CONCLUSIONS

These data show that modulation of UGDH expression in ovarian cancer reveals distinct roles for UGDH in the C1/Mesenchymal and C4/Differentiated molecular subtypes of EOC, influencing the tumor microenvironmental composition. UGDH is a strong potential therapeutic target in TICs, for the treatment of EOC, particularly in patients with the mesenchymal molecular subtype.

Differential Sensitivity of Germline and Somatic BRCA Variants to PARP Inhibitor in High-Grade Serous Ovarian Cancer

PURPOSE

The introduction of PARP inhibitors (PARPis) as a treatment option for patients with high-grade serous ovarian cancer (HGSOC) modified the approach of BRCA testing worldwide. In this study, we aim to evaluate the impact of BRCA1 and BRCA2 variants on treatment response and survival outcomes in patients diagnosed in our institution.

METHODS

A total of 805 HGSOC samples underwent BRCA1 and BRCA2 variant detection by using next-generation sequencing (NGS). Among them, a pathogenic alteration was detected in 104 specimens. Clinicopathological features and germline status were recovered, and alteration types were further characterized. The clinical significance of variant type in terms of response to chemotherapy and to PARPis as well as overall survival were evaluated using univariate analysis.

RESULTS

In our cohort, 13.2% of the HGSOC samples harbored a pathogenic BRCA1 or BRCA2 variant, among which 58.7% were inherited. No difference was observed between germline and somatic variants in terms of the gene altered. Interestingly, patients with somatic variants only (no germline) demonstrated better outcomes under PARPi treatment compared to those with germline ones.

CONCLUSION

The determination of the inheritance or acquisition of BRCA1 and BRCA2 alterations could provide valuable information for improving management strategies and predicting the outcome of patients with HGSOC.

Laparoscopic selection for surgery in epithelial ovarian cancer. A short review

The role of laparoscopy as a treatment selection method in ovarian cancer patients is receiving growing attention in surgical practice in both early and advanced-stage disease. When the disease is confined to the ovary, intraoperative laparoscopic assessment of the tumour features is needed to select the best surgical approach in order to prevent intraoperative spillage of cancer cells which would negatively impact patient prognosis. The role of laparoscopy as a disease distribution assessment tool in cases of advanced-stage disease is now accepted by current guidelines as an effective treatment strategy selection. Indeed, a published and validated laparoscopic scoring system, based on laparoscopic assessed intra-abdominal disease dissemination features have been demonstrated to be a reliable predictor of optimal cytoreduction achievement. This subsequently reduces the exploratory laparotomy rate in both primary and interval debulking surgery setting. Furthermore, in cases of recurrent disease, the use of laparoscopy to predict whether complete tumour resection can be achieved is accepted by available guidelines. In this setting, the combination of laparoscopy and imaging techniques to manage platinum sensitive recurrent ovarian cancer cases showed a high accuracy in appropriately selected patients for secondary cytoreductive surgery. In this article we describe the role of laparoscopy in the treatment selection-process in ovarian cancer patients.

Robotic surgery in early and advanced ovarian cancer: Case selection for surgical staging and interval debulking surgery

OBJECTIVE

During the last decade several case series have been published on robotic surgery in early and advanced stage ovarian cancer. Although most studies lack a significant oncological follow-up, more importantly criteria for patient selection for both robotic surgical staging (R-SS) and robotic interval debulking surgery (R-IDS) are not well defined. The objective of this study was to assess the surgical and oncological outcomes, using well-defined selection criteria, between robotic and open surgery in early and advanced stage ovarian cancer.

STUDY DESIGN

Single-center retrospective case cohort study including 96 ovarian cancer patients. For early stage ovarian cancer, patients were selected for R-SS after laparoscopic salpingo-oophorectomy of a suspicious adnexal mass. For advanced stage ovarian cancer, only patients receiving neoadjuvant chemotherapy and IDS were included in the study. Exclusion criteria were the presence of residual peritoneal disease after NACT and/or patients requiring additional complex surgical procedures.

RESULTS

For early stage ovarian cancer, similar median operative times were seen between R-SS and open surgical staging (O-SS), 132 min and 120 min respectively. Pelvic/para-aortic lymph node yield was similar between R-SS and O-SS, 22/11 nodes and 18/8 nodes respectively. Surgical upstaging occurred in 11.5% in the R-SS group and in 27.6% in the O-SS group. In advanced stage ovarian cancer, the BMI was significantly higher in the R-IDS group compared to the O-IDS group (27.8 vs 23.5; p =.006). The median follow was 52 months in the R-IDS group and 31 months in the O-IDS group. Recurrent disease occurred in 42.9% of the R-IDS group and in 45% of the O-IDS group. The length of hospitalization was significantly longer in the O-SS and O-IDS group (p <.00001).

CONCLUSION

Patients with clinically early stage ovarian cancer, confirmed after laparoscopic removal of a suspicious adnexal mass, are candidates for R-SS whilst maintaining similar surgical and oncological outcome measures as O-SS. In advanced ovarian cancer, suitable candidates for R-IDS are those who receive NACT with good response and no residual peritoneal disease, especially in patients with a high BMI, but large prospective randomized trials with well-defined criteria are needed.

Early-Stage epithelial ovarian cancer: Predictors of survival

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Optimal staging procedure is the initial step.

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Patients with high risk disease should be considered for adjuvant chemotherapy.

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Paclitaxel and carboplatin (AUC 6) every 3 weeks is the standard.

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Tumor grade is predictive of relapse free (RFS) and overall survival (OS).

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5 year RFS was 73 % and OS was 87 %.

Background

One fifth of patients with epithelial ovarian cancers (EOC) present at an early stage (FIGO stage I & II). However, there is scarcity of literature on the outcomes and its predictors. The aim of the study was to assess relapse free survival (RFS), overall survival (OS) and its predictors in early stage EOC.

Patients and Methods

In this retrospectively study, we included all patients with early-stage EOC diagnosed between January 2010 and December 2018. Patients with synchronous malignancies were excluded. Clinical profile, clinico-pathological characteristics and treatment details were recorded. Patient underwent initial surgery followed by adjuvant chemotherapy in high-risk disease. Patients with stage IC, or stage II or clear cell histology or high-grade histology irrespective of stage/histological subtype were defined as high-risk disease. Fertility sparing surgery (FSS) [unilateral salpingo-oopherectomy with complete surgical staging] was performed in patient willing to preserve fertility. Primary objective was to assess RFS and OS in all patients with early stage EOC. Secondary objectives were to assess RFS and OS in early stage EOC with high-risk disease, predictors of RFS and OS, and outcomes of FSS. Survival probabilities were estimated according to Kaplan-Meier and compared by the log rank test. Cox's regression model was used to analyze the significance of various factors affecting relapse free survival (RFS) and overall survival (OS).

Results

195 patients with early stage EOC were recruited with median age of 47 years (range, 16–80 years). FIGO stage I and stage II were seen in 72 % and 18 % patients respectively. Serous subtype was reported in 58 % and high-grade histology in 66 %. 184 patients (94.0%) underwent optimal staging surgery, including 27 (14%) with fertility sparing surgery (FSS). 133 (91.7 %) of 145 patients with high-risk disease received adjuvant chemotherapy (paclitaxel and carboplatin), while 12 (8.3 %) patients opted to remain on observation. At median follow up of 56 months (95 % CI, 46–64 months), 49 (25 %) patients relapsed [including 3 of 27 (11.1 %) who underwent FSS], 18 patients died of progressive disease, while 31 patients were alive and disease free. Estimated OS at 5 years is 87.6 % (95 % CI 79.9–92.5) and RFS is 73.2 % (95 % CI 64.7–80.0). On multivariate analysis tumor grade was predictive of RFS (HR 2.9, p < 0.04) and OS (HR 9.4, p < 0.02).

Conclusions

This study confirms the excellent outcome for patients with early stage EOC. Histological grade of tumor is a significant predictor of OS and RFS. FSS is feasible in selected patients with early EOC.

Fertility Preserving Surgery Outcomes for Ovarian Malignancy: Data from a Tertiary Cancer Centre in Central London

Fertility Sparing Surgery (FSS) appears to be a safe means of treating early-stage ovarian cancer based on relatively limited evidence. However, there is currently insufficient evidence to aid women in counselling about their potential fertility outcomes. The aim of this study was to assess the reproductive outcomes and prognosis of women who have undergone FSS for ovarian malignancy. Between 1 June 2008 and 1 June 2018, a retrospective review of a clinical database was conducted to identify all consecutive patients who underwent FSS in a central London gynaecological oncology centre. All patients with a histological diagnosis of ovarian malignancy (excluding borderline ovarian tumours) were eligible. All identified patients were then prospectively called into a follow up and asked to complete a questionnaire about their fertility outcomes. A total of 47 women underwent FSS; 36 were included in this study. The mean age was 30.3 years (95% Confidence Interval [CI]: 27.6 to 33.0 years). During the study period, 17/36 (47.2%) of the women had attempted to conceive following surgery, with a successful live birth rate of 52.9% (9/17). The mean time of recurrence was 125.3 months (95% CI: 106.5−144.1 months). The mean time to death was 139.5 months (95% CI: 124.3−154.8). The cancer grade, tumour stage and use of Assisted Reproductive Technology (ART) were the main factors significantly associated with the risk of recurrence and death. In conclusion, this study suggests that a large proportion of women will not attempt to conceive following FSS. For those who do attempt to conceive, the likelihood of achieving a live birth is high. However, careful counselling about the higher risk of recurrence and worse survival for women with high grade cancer, disease Stage > IA and potentially those who undergo ART is essential before contemplating FFS.

Potential clinical utility of liquid biopsies in ovarian cancer

BACKGROUND

Ovarian cancer (OC) is the most lethal gynecologic malignancy worldwide. One of the main challenges in the management of OC is the late clinical presentation of disease that results in poor survival. Conventional tissue biopsy methods and serological biomarkers such as CA-125 have limited clinical applications. Liquid biopsy is a novel sampling method that analyzes distinctive tumour components released into the peripheral circulation, including circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), cell-free RNA (cfRNA), tumour-educated platelets (TEPs) and exosomes. Increasing evidence suggests that liquid biopsy could enhance the clinical management of OC by improving early diagnosis, predicting prognosis, detecting recurrence, and monitoring response to treatment. Capturing the unique tumour genetic landscape can also guide treatment decisions and the selection of appropriate targeted therapies. Key advantages of liquid biopsy include its non-invasive nature and feasibility, which allow for serial sampling and longitudinal monitoring of dynamic tumour changes over time. In this review, we outline the evidence for the clinical utility of each liquid biopsy component and review the advantages and current limitations of applying liquid biopsy in managing ovarian cancer. We also highlight future directions considering the current challenges and explore areas where more studies are warranted to elucidate its emerging clinical potential.

A CT-based radiomics nomogram for predicting early recurrence in patients with high-grade serous ovarian cancer

PURPOSE

To develop and validate a radiomics nomogram for predicting early recurrence in high-grade serous ovarian cancer (HGSOC) patients.

MATERIALS AND METHODS

From May 2008 to December 2019, 256 eligible HGSOC patients were enrolled and divided into training (n = 179) and test cohorts (n = 77) in a 7:3 ratio. A radiomics signature (Radscore) was selected by using recursive feature elimination based on a support vector machine (SVM-RFE) and building a radiomics model for recurrence prediction. Independent clinical risk factors were generated by univariable and multivariable Cox regression analyses. A combined model was developed based on the Radscore and independent clinical risk factors and presented as a radiomics nomogram. Its performance was assessed by AUC, Kaplan-Meier survival analysis and decision curve analysis.

RESULTS

Seven radiomics features were selected. The radiomics model yielded AUCs of 0.715 (95% CI: 0.640, 0.790) and 0.717 (95% CI: 0.600, 0.834) in the training and test cohorts, respectively. The clinical model (FIGO stage and residual disease) yielded AUCs of 0.632 and 0.691 in the training and test cohorts, respectively. The combined model demonstrated AUCs of 0.749 (95% CI: 0.678, 0.821) and 0.769 (95% CI: 0.662, 0.877) in the training and test cohorts, respectively. In the combined model, PFS was significantly shorter in the high-risk group than in the low-risk group (P < 0.0001).

CONCLUSIONS

The radiomics nomogram performed well for early individualized recurrence prediction in patients with HGSOC and can also be used to differentiate high-risk patients from low-risk patients.

A ferroptosis-related lncRNA signature predicts prognosis in ovarian cancer patients

Background

Ovarian cancer (OC) is a common gynecological malignant tumor with poor prognosis. Ferroptosis is an iron-dependent modality of regulated cell death. The purpose of this study was to determine the prognostic ability of ferroptosis-related long non-coding RNAs (lncRNAs) in OC patients and construct a ferroptosis-related lncRNA prognostic model.

Methods

The Cancer Genome Atlas (TCGA) and FerrDb databases were used to collect RNA sequencing data of OC patients and ferroptosis-related genes, respectively. OC patients were randomly assigned to the training or testing set. Pearson correlation analysis was used to identify ferroptosis-related lncRNAs. Univariate Cox, Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate regression analyses were performed in the training set to develop a predictive model. The model was validated in the testing set and entire set. Survival analysis, receiver operating characteristic curves, independent prognostic factor analysis, and correlation analysis with clinical features were performed to evaluate the predictive value of the model. A nomogram was established to predict the survivability of OC patients over 1, 3, and 5 years. The distribution of distinct groups was investigated using principal component analysis, and the underlying the biological functions were explored using gene set enrichment analysis.

Results

Eleven ferroptosis-related lncRNAs were determined to establish the prognostic model. Patients in the high-risk group had poor prognosis compared with the low-risk group in the training, testing and entire sets. The area under the receiver operating characteristic curve corresponding to 1-, 3-, and 5-year survival were 0.731, 0.796, and 0.805 in the training set; 0.704, 0.597, and 0.655 in the testing set; and 0.715, 0.691, and 0.736, in the entire set, respectively. The risk score correlated with age and grade. The risk score was also an independent prognostic factor in OC. A nomogram with high C-index (0.68) was constructed. An intuitive observation of the principal component analysis revealed a distinction between high- and low-risk groups, and gene set enrichment analysis indicated that cancer-related pathways were enriched in the high-risk group.

Conclusions

The signature composed of 11 ferroptosis-related lncRNAs accurately predicted the prognosis of OC patients.

Ascites in ovarian cancer: MicroRNA deregulations and their potential roles in ovarian carcinogenesis

Ovarian cancer comprises the most lethal gynecologic malignancy and is accompanied by the high potential for the incidence of metastasis, recurrence and chemotherapy resistance, often associated with a formation of ascitic fluid. The differentially expressed ascites-derived microRNAs may be linked to ovarian carcinogenesis. The article focuses on a number of miRNAs that share a common expression pattern as determined by independent studies using ascites samples and with regard to their functions and outcomes in experimental and clinical investigations.Let-7b and miR-143 have featured as tumor suppressors in ovarian cancer, which is in line with data on other types of cancer. Although two miRNAs, i.e. miR-26a-5p and miR-145-5p, act principally as tumor suppressor miRNAs, they occasionally exhibit oncogenic roles. The performance of miR-95-3p, upregulated in ascites, is open to debate given the current lack of supportive data on ovarian cancer; however, data on other cancers indicates its probable oncogenic role. Different findings have been reported for miR-182-5p and miR-200c-3p; in addition to their presumed oncogenic roles, contrasting findings have indicated their ambivalent functions. Further research is required for the identification and evaluation of the potential of specific miRNAs in the diagnosis, prediction, treatment and outcomes of ovarian cancer patients.

Analysis of Morbidity, Mortality and Survival Pattern Following Surgery for Borderline Ovarian and Malignant Ovarian Tumour in Tertiary Care Centre

Backgrounds

To analyse the morbidity, mortality and survival pattern following surgery for borderline ovarian and malignant ovarian tumours.

Methods

The medical records of 57 consecutive patients with invasive and borderline epithelial ovarian cancer patients registered and operated in our tertiary centre between 2015 to 2017 were reviewed. Patients were followed up for a minimum of 18 months to maximum of 42 months at an interval of 3 months with CA125 values. Various prognostic factors were analysed. The data descriptive statistics of frequency and percentage analysis were used for categorical variables and mean and standard deviation were used for continuous variables.

Results

The most common age group was 51 years and above with the majority (56.2%) of women belonging to postmenopausal age group (32/57). In our study, 30 out of 57 women (52.6%) had stage III disease, 17 women had stage I disease (29.8%) and 7 women had stage 2 disease (12.3%). Majority of the women had serous epithelial ovarian tumour (47 out of 57 patients), which contributed to 82.4%. Grade 1 and 2 morbidity was encountered in 8 patients. Six patients had wound infection (grade 1), and 2 patients required blood transfusions (grade 2). One patient had grade 3 morbidity requiring re-laparotomy. Borderline tumours and early-stage epithelial ovarian tumours had good prognosis, less morbidity and good survival. The overall median survival was 25 months.

Conclusions

With meticulous perioperative care, surgery for ovarian cancer in the primary and interval setting can be done with minimal morbidity and no postoperative mortality, especially in patients with co-morbidities. Grade is an important prognostic factor affecting the survival of patients with epithelial ovarian cancers undergoing surgery. Lymph node dissection helps achieve local control but may not improve the survival.

A Novel Clinical Nomogram for Predicting Cancer-Specific Survival in Adult Patients After Primary Surgery for Epithelial Ovarian Cancer: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database and External Validation in a Tertiary Center

Background

The present study aimed to construct and validate a nomogram that can be used to predict cancer-specific survival (CSS) in patients with epithelial ovarian cancer (EOC).

Methods

A total of 7,129 adult patients with EOC were extracted from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. Patients were randomly divided into the training and validation cohorts (7:3). Cox regression was conducted to evaluate prognostic factors of CSS. The internal validation of the nomogram was performed using concordance index (C-index), AUC, calibration curves, and decision curve analyses (DCAs). Data from 53 adult EOC patients at Shengjing Hospital of China Medical University from 2008 to 2012 were collected for external verification. Kaplan-Meier curves were plotted to compare survival outcomes among risk subgroups.

Results

Age, grade, histological types, stage, residual lesion size, number of regional lymph nodes resected, number of positive lymph nodes, and chemotherapy were independent risk factors for CSS. Based on the above factors, we constructed a nomogram. The C-indices of the training cohort, internal validation cohort, and external verification group were 0.763, 0.750, and 0.920, respectively. The calibration curve indicated good agreement between the nomogram prediction and actual survival. AUC and DCA results indicated great clinical usefulness of the nomogram. The differences in the Kaplan-Meier curves among different risk subgroups were statistically significant.

Conclusions

We constructed a nomogram to predict CSS in adult patients with EOC after primary surgery, which can assist in counseling and guiding treatment decision making.

Understanding the effect of mechanical forces on ovarian cancer progression

OBJECTIVE

Mechanical forces including tension, compression, and shear stress are increasingly implicated in tumor progression and metastasis. Understanding the mechanisms behind epithelial ovarian cancer (EOC) progression and metastasis is critical, and this study aimed to elucidate the effect of oscillatory and constant tension on EOC.

METHODS

SKOV-3 and OVCAR-8 EOC cell lines were placed under oscillatory tension for 3 days and compared to cells placed under no tension. Cell proliferation, migration, and invasion were analyzed while RNAseq and Western Blots helped investigate the biological mechanisms underlying the increasingly aggressive state of the experimental cells. Finally, in vivo experiments using SCID mice assisted in confirming the in vitro results.

RESULTS

Oscillatory tension (OT) and constant tension (CT) significantly increased SKOV-3 proliferation, while OT caused a significant increase in proliferative genes, migration, and invasion in this cell line. CT did not cause significant increases in these areas. Neither OT nor CT increased proliferation or invasion in OVCAR-8 cells, while both tension types significantly increased cellular migration. Two proteins involved in metastasis, E-cadherin and Snail, were both significantly affected by OT in both cell lines, with E-cadherin levels decreasing and Snail levels increasing. In vivo, tumor growth and weight for both cell types were significantly increased, and ascites development was significantly higher in the experimental OVCAR-8 group than in the control group.

CONCLUSIONS

This study found that mechanical forces are influential in EOC progression and metastasis. Further analysis of downstream mechanisms involved in EOC metastasis will be critical for improvements in EOC treatment.

Evaluation of the Potential Diagnostic Utility of the Determination of Selected Caspases-Markers Involved in the Regulation of Apoptosis-In Patients with Ovarian Cancer

Ovarian cancer remains a major diagnostic and therapeutic problem in modern gynecological oncology. For this reason, research which focuses on the search for new diagnostic markers and the assessment of their possible usefulness in clinical practice is still being conducted. The aim of this study was to evaluate serum levels of caspase-3, caspase-8, and caspase-9 in women with ovarian cancer. Patients with ovarian serous cystadenoma (Cystadenoma serosum) and papillary serous cystadenocarcinoma (Cystadenocarcinoma papillare serosum IIIC) were included in the study, as well as healthy women who constituted the control group. The results of the study revealed a statistically significantly decreased mean serum levels of caspase-3, caspase-8, and caspase-9 in women with ovarian cancer as compared to the control group (p ˂ 0.001), which indicates the involvement of the studied parameters in immune system disturbances occurring in the process of apoptosis by the extrinsic and intrinsic pathway and may be one of the mechanisms of immunosuppression accompanying these tumors. Determination of serum levels of examined caspases and CA 125 antigen in women with ovarian cancer in combination with other markers may prove useful in the future in the diagnosis of ovarian cancer, but this requires further studies.

Identification of a five-gene signature of the RGS gene family with prognostic value in ovarian cancer

The RGS (regulator of G protein signaling) gene family, which includes negative regulators of G protein-coupled receptors, comprises important drug targets for malignant tumors. It is thus of great significance to explore the value of RGS family genes for diagnostic and prognostic prediction in ovarian cancer. The RNA-seq, immunophenotype, and stem cell index data of pan-cancer, The Cancer Genome Atlas (TCGA) data, and GTEx data of ovarian cancer were downloaded from the UCSC Xena database. In the pan-cancer database, the expression level of RGS1, RGS18, RGS19, and RGS13 was positively correlated with stromal and immune cell scores. Cancer patients with high RGS18 expression were more sensitive to cyclophosphamide and nelarabine, whereas those with high RGS19 expression were more sensitive to cladribine and nelarabine. The relationship between RGS family gene expression and overall survival (OS) and progression-free survival (PFS) of ovarian cancer patients was analyzed using the KM-plotter database, RGS17, RGS16, RGS1, and RGS8 could be used as diagnostic biomarkers of the immune subtype of ovarian cancer, and RGS10 and RGS16 could be used as biomarkers to predict the clinical stage of this disease. Further, Lasso cox analysis identified a five-gene risk score (RGS11, RGS10, RGS13, RGS4, and RGS3). Multivariate COX analysis showed that the risk score was an independent prognostic factor for patients with ovarian cancer. Immunohistochemistry and the HPA protein database confirmed that the five-gene signature is overexpressed in ovarian cancer. GSEA showed that it is mainly involved in the ECM-receptor interaction, TGF-beta signaling pathway, Wnt signaling pathway, and chemokine signaling pathway, which promote the occurrence and development of ovarian cancer. The prediction model of ovarian cancer constructed using RGS family genes is of great significance for clinical decision making and the personalized treatment of patients with ovarian cancer.

Minimally invasive surgical staging for early stage ovarian cancer: A long-term follow up

INTRODUCTION

The standard treatment for epithelial early stage ovarian cancer (eEOC) includes laparotomic surgical staging, according to ESGO-ESMO guidelines. In the last decade, many investigators have assessed the safety and feasibility of minimally invasive surgery (MIS) staging in properly selected patients. However, survival data related to different surgical approaches (open versus MIS) are extremely limited. The aim of this study is to analyze the long-term oncological outcomes in eEOC patients treated with MIS.

MATERIALS AND METHODS

This is a multicenter observational retrospective study conducted in two tertiary oncological centers. We selected all consecutive women who underwent a laparoscopic or robotic staging for eEOC.

RESULTS

From January 2008 to December 2016, 254 eEOC patients underwent a MIS staging (188 laparoscopic staging and 66 robotic staging). Overall, 18.1% of patients were upstaged due to pathological findings. A total of 203 (79.9%) patients received platinum-based adjuvant chemotherapy. After a median follow-up of 61 months (range 13-118), 39 (15.3%) patients experienced recurrence. The 5-years progression free survival (PFS) and overall survival rates were 84.0% and 93.8%, respectively. In the univariate analysis, favorable variables influencing PFS were young age (≤45 years), non-serous histotype, tumor grade 1-2, and FIGO stage IA/IB. In the multivariate analysis, only grade 3 was shown to keep its negative independent prognostic value (HR = 3.47; p = 0.004), whereas FIGO stage ≥ IC showed a trend toward significance (HR = 1.75; p = 0.099).

CONCLUSION

This retrospective study represents the longest follow-up of eEOC patients managed by MIS. The MIS is a valuable therapeutic option in appropriately selected patients, although a randomized controlled trial is needed.

DPP4 Inhibitor Sitagliptin Enhances Lymphocyte Recruitment and Prolongs Survival in a Syngeneic Ovarian Cancer Mouse Model

Simple Summary

The role of immunity in the development and progression of epithelial ovarian cancer (EOC) is well established. Poor T-cell infiltration is associated with mortality in EOC patients, and recent evidence has suggested that the enzyme DPP4 plays a role in this process. The aim of our study was to evaluate the potential of the clinically-approved DPP4-inhibitor sitagliptin to improve immune responses in mice with EOC. We showed that sitagliptin improved CD8+ T-cell responses in an EOC mouse model, consequently reducing metastatic burden and prolonging survival. These data provide a rationale for the use of DPP4-inhibitors as a second-line treatment for EOC.

Abstract

Immunity plays a key role in epithelial ovarian cancer (EOC) progression with a well-documented correlation between patient survival and high intratumoral CD8+ to T regulatory cell (Treg) ratios. We previously identified dysregulated DPP4 activity in EOCs as a potentially immune-disruptive influence contributing to a reduction in CXCR3-mediated T-cell infiltration in solid tumours. We therefore hypothesized that inhibition of DPP4 activity by sitagliptin, an FDA-approved inhibitor, would improve T-cell infiltration and function in a syngeneic ID8 mouse model of EOC. Daily oral sitagliptin at 50 mg/kg was provided to mice with established primary EOCs. Sitagliptin treatment decreased metastatic tumour burden and significantly increased overall survival and was associated with significant changes to the immune landscape. Sitagliptin increased overall CXCR3-mediated CD8+ T-cell trafficking to the tumour and enhanced the activation and proliferation of CD8+ T-cells in tumour tissue and the peritoneal cavity. Substantial reductions in suppressive cytokines, including CCL2, CCL17, CCL22 and IL-10, were also noted and were associated with reduced CD4+ CD25+ Foxp3+ Treg recruitment in the tumour. Combination therapy with paclitaxel, however, typical of standard-of-care for patients in palliative care, abolished CXCR3-specific T-cell recruitment stimulated by sitagliptin. Our data suggest that sitagliptin may be suitable as an adjunct therapy for patients between chemotherapy cycles as a novel approach to enhance immunity, optimise T-cell-mediated function and improve overall survival.

A prognosis-predictive nomogram of ovarian cancer with two immune-related genes: CDC20B and PNPLA5

Ovarian carcinoma (OV) is one of the most lethal gynecological malignancies globally, and the overall 5-year survival rate of OV was 47% in 2018 according to American data. To increase the survival rate of patients with OV, many researchers have sought to identify biomarkers that act as both prognosis-predictive markers and therapy targets. However, most of these have not been suitable for clinical application. The present study aimed at constructing a predictive prognostic nomogram of OV using the genes identified by combining The Cancer Genome Atlas (TCGA) dataset for OV with the immune score calculated by the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data algorithm. Firstly, the algorithm was used to calculate the immune score of patients with OV in the TCGA-OV dataset. Secondly, differentially expressed genes (DEGs) between low and high immune score tissues were identified, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was performed to predict the functions of these DEGs. Thirdly, univariate, multivariate and Lasso Cox's regression analyses were carried out step by step, and six prognosis-related DEGs were identified. Then, Kaplan-Myer survival curves were generated for these genes and validated by comparing their expression levels to further narrow the range of DEGs and to calculate the risk score. Two genes were identified, cell division cycle 20B and patatin-like phospholipase domain containing 5, which were both shown to have higher expression levels in OV tissues and to be significantly associated with the prognosis of OV. Next, a nomogram was created using these two genes and age, and using the receiver operating characteristic (ROC) curve and calibration curve, the effectiveness of the nomogram was validated. Finally, an external validation was conducted for this nomogram. The ROC showed that the areas under the curve (AUCs) of the 3- and 5-year overall survival predictions for the nomogram were 0.678 and 0.62, respectively. Moreover, the ROC of the external validation model showed that the AUCs of the 3- and 5-year were 0.699 and 0.643, respectively, demonstrating the effectiveness of the generated nomogram. In conclusion, the present study has identified two immune-related genes as biomarkers that reliably predict overall survival in OV. These biomarkers might also be potential molecular targets of immune therapy to treat patients with OV.

Feasibility of Single-Port Access (SPA) Laparoscopy for Large Ovarian Tumor Suspected to Be Borderline Ovarian Tumor

Objectives

To compare the surgical, pathological and oncological outcomes of single-port access (SPA) laparoscopy against laparotomy for large ovarian tumor (>15 cm) suspected to be a borderline ovarian tumor (BOT) on preoperative imaging.

Methods

A retrospective review of the patients who underwent SPA laparoscopy (SPA Group) or laparotomy (Laparotomy Group) for suspected BOT was performed. Surgical outcomes, including the rates of iatrogenic spillage of tumor contents, and oncological outcomes, such as recurrence-free survival (RFS) and overall survival (OS), were compared between the two groups. Correlation between intraoperative frozen section analysis and permanent pathology results was also assessed.

Results

A total of 178 patients underwent surgical treatment for suspected large BOT. Among them, 105 patients with a mean tumor diameter of 20.9 ± 6.5 cm underwent SPA laparoscopy, and the other 73 patients, with a mean tumor diameter 20.2 ± 5.9 cm, underwent laparotomy. The mean operation time did not differ between the two groups (99.1 ± 41.9 min for SPA Group vs. 107.3 ± 35.7 min for Laparotomy Group, p = 0.085). There was no difference in the occurrence of iatrogenic spillage of tumor contents between the groups either (11.4% in the SPA Group vs. 6.8% in the Laparotomy Group, p = 0.381). However, the postoperative complication rates were significantly higher in the Laparotomy Group compared with SPA Group (16.4% vs. 5.7%, p = 0.025). The surgical approach was not associated with the misdiagnosis rates of frozen section analysis (19% in the SPA Group vs. 26% in the Laparotomy Group, p = 0.484). The most common histologic type of the tumors was mucinous in both groups.

Conclusion

SPA laparoscopy is feasible, safe, and not inferior to laparotomy for surgical treatment of large ovarian tumors that suspected to be BOT on preoperative imaging.

Relationship status and other demographic influences on survival in patients with ovarian cancer

OBJECTIVE

To evaluate the influence of marital status and other demographic factors on survival of patients with ovarian cancer.

STUDY DESIGN

Data were obtained from the Surveillance, Epidemiology, and End Results database from 2010 to 2015. Analyses were performed using Kaplan-Meier and multivariate Cox proportional hazard methods.

RESULTS

Of 19 643 patients with ovarian cancer (median age 60 years, range 18-99), 16 278 (83%), 1381 (7%), 1856 (9%), and 128 (1%) were White, Black, Asian, and Native American, respectively. The majority of patients (10 769, 55%) were married while 4155 (21%) were single, 2278 (12%) were divorced, and 2441 (12%) were widowed. Patients were more likely to be married if they were Asian (65%) or White (56%) than if they were Black (31%) or Native American (39%) (p<0.001). Most married patients were insured (n=9760 (91%), non-Medicaid) compared with 3002 (72%) of single, 1777 (78%) divorced, and 2102 (86%) of widowed patients (p<0.001). Married patients were more likely to receive chemotherapy than single, divorced, and widowed patients (8515 (79%) vs 3000 (72%), 1747 (77%), and 1650 (68%), respectively; p<0.001). The 5-year disease-specific survival of the overall group was 58%. Married patients had improved survival of 60% compared with divorced (52%) and widowed (44%) patients (p<0.001). On multivariate analysis, older age (HR 1.02, 95% CI 1.016 to 1.021, p<0.001), Black race (HR 1.24, 95% CI 1.11 to 1.38, p<0.001), and Medicaid (HR 1.19, 95% CI 1.09 to 1.30, p<0.001) or uninsured status (HR 1.23, 95% CI 1.05 to 1.44, p<0.01) carried a worse prognosis. Single (HR 1.17, 95% CI 1.08 to 1.26, p<0.001), divorced (HR 1.14, 95% CI 1.04 to 1.25, p<0.01), and widowed (HR 1.16, 95% CI 1.06 to 1.26, p<0.001) patients had decreased survival.

CONCLUSION

Married patients with ovarian cancer were more likely to undergo chemotherapy with better survival rates. Black, uninsured, or patients with Medicaid insurance had poorer outcomes.

Discovery of Prognostic Markers for Early-Stage High-Grade Serous Ovarian Cancer by Maldi-Imaging

With regard to relapse and survival, early-stage high-grade serous ovarian (HGSOC) patients comprise a heterogeneous group and there is no clear consensus on first-line treatment. Currently, no prognostic markers are available for risk assessment by standard targeted immunohistochemistry and novel approaches are urgently required. Here, we applied MALDI-imaging mass spectrometry (MALDI-IMS), a new method to identify distinct mass profiles including protein signatures on paraffin-embedded tissue sections. In search of prognostic biomarker candidates, we compared proteomic profiles of primary tumor sections from early-stage HGSOC patients with either recurrent (RD) or non-recurrent disease (N = 4; each group) as a proof of concept study. In total, MALDI-IMS analysis resulted in 7537 spectra from the malignant tumor areas. Using receiver operating characteristic (ROC) analysis, 151 peptides were able to discriminate between patients with RD and non-RD (AUC > 0.6 or < 0.4; p < 0.01), and 13 of them could be annotated to proteins. Strongest expression levels of specific peptides linked to Keratin type1 and Collagen alpha-2(I) were observed and associated with poor prognosis (AUC > 0.7). These results confirm that in using IMS, we could identify new candidates to predict clinical outcome and treatment extent for patients with early-stage HGSOC.

Omics Integration Analyses Reveal the Early Evolution of Malignancy in Breast Cancer

The majority of cancer evolution studies involve individual-based approaches that neglect the population dynamics necessary to build a global picture of cancer evolution for each cancer type. Here, we conducted a population-based study in breast cancer to understand the timing of malignancy evolution and its correlation to the genetic evolution of pathological stages. In an omics integrative approach, we integrated gene expression and genomic aberration data for pre-invasive (ductal carcinoma in situ; DCIS, early-stage) and post-invasive (invasive ductal carcinoma; IDC, late-stage) samples and investigated the evolutionary role of further genetic changes in later stages compared to the early ones. We found that single gene alterations (SGAs) and copy-number alterations (CNAs) work together in forward and backward evolution manners to fine-tune the signaling pathways operating in tumors. Analyses of the integrated point mutation and gene expression data showed that (i) our proposed fine-tuning concept is also applicable to metastasis, and (ii) metastases sometimes diverge from the primary tumor at the DCIS stage. Our results indicated that the malignant potency of breast tumors is constant over the pre- and post-invasive pathological stages. Indeed, further genetic alterations in later stages do not establish de novo malignancy routes; however, they serve to fine-tune antecedent signaling pathways.

Fertility-sparing treatment for early-stage epithelial ovarian cancer: Contemporary oncologic, reproductive and endocrinologic perspectives

AIM

Epithelial ovarian cancer (EOC) can be a devastating diagnosis in women of reproductive age who desire future fertility. However, in early-stage disease, fertility-sparing surgery (FSS) can be considered in appropriately selected patients.

METHODS

This is a narrative descriptive review of the recent literature on FSS for EOC from oncologic, reproductive and endocrinologic perspectives.

RESULTS

The recurrence rate following FSS performed for stage I EOC in published retrospective studies collectively is 13% but ranges from 5 to 29%, while mortality ranges from 0 to 18%. Five-year disease-free survival following FSS is over 90% but decreases with higher stage and grade. Recurrences following FSS are more likely to be localized with a more favorable prognosis compared to recurrences following radical surgery. Adjuvant chemotherapy is recommended in women with high-risk disease, and strategies to minimize gonadotoxicity during chemotherapy such as gonadotropin-releasing hormone (GnRH) agonists may be considered. Oocyte, embryo and/or ovarian cryopreservation can also be offered to patients desiring future biologic children. Reproductive outcomes following FSS, including pregnancy and miscarriage rates, resemble those of the general population, with a chance of successful pregnancy of nearly 80%.

CONCLUSION

In retrospective data, FSS appears to be oncologically safe in stage IA and IC grade 1-2 non-clear cell EOC. In patients with grade 3 tumors or clear cell histology, treatment can be individualized, weighing a slightly higher risk of recurrence with fertility goals. A multidisciplinary approach with oncology and reproductive endocrinology may be of utility to help these patients achieve their fertility goals.

The Frequency and Prognostic Significance of the Histologic Type in Early-stage Ovarian Carcinoma: A Reclassification Study by the Spanish Group for Ovarian Cancer Research (GEICO)

The frequency and prognostic significance of the histologic type in early-stage ovarian cancer (OC) is not as well established as in advanced stages. In addition, histologic typing based only on morphologic features may be difficult, especially in high-grade tumors. In this study, we have analyzed a prospective cohort of 502 early-stage OCs to investigate their frequency, immunohistochemical characteristics, and survival of the 5 main histologic types. Histotype was assigned according to not only the morphologic features but also according to the expression pattern of WT1, p53, Napsin A, and progesterone receptors. In addition, an extended panel including p16, β-catenin, HER2, Arid1A, HINF1B, CK7, CDX2, and CK20 was used to refine the diagnosis in difficult cases. In this series, the frequency of the 5 major histologic types was as follows: endometrioid carcinoma, 32.7%; clear cell carcinoma, 25.1%; high-grade serous carcinoma (HGSC), 24.7%; mucinous carcinoma, 10.2%; low-grade serous carcinoma, 4.6%; and others, 2.8%. The combination of morphology and immunohistochemistry allowed the reclassification of 23% of OCs. The lowest concordance was found between samples initially diagnosed as endometrioid, but finally classified as high-grade serous tumors (22% error rate). Endometrioid carcinoma was the most favorable histologic type, whereas HGSC and low-grade serous carcinoma had the worst prognosis. Clear cell carcinoma with abnormal p53 immunostaining pattern also had poor prognosis. Although histologic grade was not a prognostic factor among early-stage endometrioid OCs, distinction between grade 3 endometrioid OC and HGSC is recommended, taking into account differences in prognosis and molecular alterations that can guide different treatments.

Survival outcomes for robotic-assisted laparoscopy versus traditional laparoscopy in clinical stage I epithelial ovarian cancer

BACKGROUND

The US Food and Drug Administration recently called for studies addressing long-term survival after robotic-assisted laparoscopy in oncologic settings. Long-term clinical outcomes of robotic-assisted laparoscopy among ovarian cancer patients are understudied.

OBJECTIVE(S)

To investigate the long-term mortality of robotic-assisted laparoscopy compared to traditional laparoscopy for clinical stage I epithelial ovarian cancer.

MATERIALS AND METHODS

Using data from the National Cancer Database, we identified a total of 1901 patients who received minimally invasive surgery (ie, robotic-assisted laparoscopy or traditional laparoscopy) for clinical stage I epithelial ovarian cancer between 2010 and 2014. Multivariable logistic or linear regression analyses were conducted to evaluate the short-term outcomes, including conversion-to-open surgery, number of lymph nodes examined, length of hospitalization, unplanned 30-day readmission, and 30- and 90-day mortality. Multivariable Cox proportional hazards models were used to derive adjusted hazard ratios and 95% confidence intervals for 1-, 3-, and 5-year total mortality associated with surgical approaches. Covariates adjusted for included age, tumor size and upstaging, number of lymph nodes evaluated, time from diagnosis to surgery, length of hospitalization, histologic subtype, insurance status, region, distance to care, surgical procedure type, and hospital experience with these procedures.

RESULTS

Compared to traditional laparoscopy, robotic-assisted laparoscopy was less likely to result in conversion-to-open surgery (conversion rate: 7.2% versus 17.9%, P < .001; adjusted odds ratio, 0.49; 95% confidence interval, 0.33-0.73). In multivariable analyses, there were no significant differences in survival between robotic-assisted laparoscopy- and traditional laparoscopy-treated patients. Compared with traditional laparoscopy, the adjusted hazard ratios for 1-, 3-, and 5-year mortality were 0.97 (95% confidence interval, 0.43-2.18), 0.68 (95% confidence interval, 0.43-1.08), and 0.78 (95% confidence interval, 0.53-1.16), respectively.

CONCLUSION(S)

Robotic-assisted laparoscopy had comparable overall mortality in comparison to traditional laparoscopy when treating clinical stage I epithelial ovarian cancer.

Parity as a Prognostic Factor in Patients with Advanced-Stage Epithelial Ovarian Cancer

Aim

This study aimed to determine the prognostic factors influencing the overall survival (OS) of Iranian women with epithelial ovarian cancer (EOC).

Methods

Information about newly diagnosed patients with confirmed EOC at Motahari Clinic, Shiraz, Iran, from January 1, 2001, to December 31, 2016, was retrospectively reviewed and analyzed. Cox-adjusted proportional hazards (PH) and stratified Cox (SC) models were used to determine the potential prognostic factors.

Results

The mean (±SD) age at the diagnosis of 385 patients with EOC was 49.0 (±13.2) years old. Early-stage EOC (ESEOC) and advanced-stage EOC (ASEOC) were diagnosed in 34.3% and 65.7% of the total patients, respectively. The median (95% CI) OS was 35 (28-41) months. For ESEOC patients, a stage II-tumor led to a lower OS in the multivariable analysis compared to a lower stage tumor (P= 0.025). For ASEOC patients, age≥65 years at diagnosis (P=0.008) led to a lower OS. ASEOC patients with 2-5 parities (P=0.014) and >5 parity (P=0.001) demonstrated better OS than nulliparous women.

Conclusion

Patients with ESEOC, higher tumor stage was associated with a shorter OS. The age at diagnosis harmed the OS of patients with ASEOC. More than one parity improved OS in ASEOC patients.

Upregulated Expression of Calcium-Dependent Annexin A6: A Potential Biomarker of Ovarian Carcinoma

PURPOSE

An early and accurate diagnosis of ovarian carcinoma (OC) may reduce morbidity and mortality of the patients. To improve the clinical outcome in OC patients, the present study is aimed at identifying robust biomarkers for early OC diagnosis. EXPERIMENTAL DESIGN: In order to look for early-stage protein markers, a systematic protein profiling approach involving 2-dimensional electrophoresis coupled with mass spectrometric analyses of human malignant and non-malignant ovarian biopsy samples, is performed.

RESULTS

Six 2D gel spots, corresponding to five proteins, display statistically significant differential expression in the tumor tissues compared to benign controls (FDR ≤ 0.05; PMF score ≥ 79). Ingenuity pathway analysis predicts two proteins, that is, Ca²⁺ -dependent membrane-binding protein annexin A6 (AnxA6) and the metabolic enzyme l-lactate dehydrogenase A chain, as potential predictive biomarkers. Increased expression of AnxA6 is further ascertained by Western blot and enzyme linked immunosorbent assay in the resected tissues and the plasma samples. The expression is found markedly increasing particularly in the advanced stage tumors.

CONCLUSIONS AND CLINICAL RELEVANCE

The significant upregulation of AnxA6 in OC, reported for the first time, is likely to provide insight into the mechanism of OC progression, which may lead to the design of potential diagnostic and therapeutic strategies.

Techniques Associated with Exosome Isolation for Biomarker Development: Liquid Biopsies for Ovarian Cancer Detection

Ovarian cancer is the leading gynecological malignancy worldwide. This is attributed to the fact that the disease is often diagnosed at an advanced stage, where the survival rates drop from approximately 90% (detection at an early stage) to 20%. Furthermore, ovarian cancer is not associated with overt physical symptoms. Thus, there is an urgent need for a highly sensitive and minimally invasive biomarker for the early detection of ovarian cancer. However, this continues to remain an unmet clinical need, as several proposed techniques have shown low sensitivity and specificity, with poor positive and negative predictive values. The quest for an ideal biomarker has bought exosomes to the forefront. Exosomes are small extracellular vesicles of an endocytic origin, which can encapsulate genetic information, in the form of proteins and miRNAs. They are released by multiple cell types and are involved in intercellular communication, through the transfer of their cargo. The process of exosome biogenesis allows for the packaging of molecules from both membranous and cytosolic origins. Therefore, exosomes are representations of the releasing cell, and thus provide an insight into the cellular environment. Furthermore, exosomal encapsulation of molecules such as proteins and miRNAs can prevent degradation, making exosomes an ideal biomarker source. Thus, this chapter provides an overview of ovarian cancer, the potential of exosomes as an early detection biomarker, and the different methods associated with the isolation of different vesicle subpopulations, and exosome enrichment.

Ovarian Cancer: Differentially Expressed microRNAs in Tumor Tissue and Cell-Free Ascitic Fluid as Potential Novel Biomarkers

Ovarian cancer is the deadliest gynecologic cancer. The large-scale microRNA (miRNA) expression profiling and individual miRNA validation was performed to find potential novel biomarkers for ovarian cancer. The most consistent overexpression of miRs-200b-3p, 135 b-5p and 182-5p was found in both ascitic fluid and tumors and suggests their potential as oncogenes. miR-451a was consistently underexpressed so may be a tumor suppressor. Results were inconsistent for miR-204-5p, which was overexpressed in ascitic fluid but underexpressed in tumor tissue. miR-203a-3p was generally overexpressed but this failed to be proved in independent sample set in tissue validation.

Predictive factors of recurrence in patients with early-stage epithelial ovarian cancer

OBJECTIVE

To identify predictive factors of recurrence and survival in patients with early-stage epithelial ovarian cancer (eEOC).

METHODS

We retrospectively searched the medical records of all women undergoing optimal surgical staging for eEOC (stage I-II) at the National Cancer Institute of Milan, Italy, between January 1, 1974, and December 31, 2014.

RESULTS

During the study period, 429 patients underwent primary surgery followed by either adjuvant chemotherapy or observation alone for apparent eEOC. In multivariable analysis, International Federation for Gynecology and Obstetrics (FIGO) stage greater than 1 (hazard ratio [HR] 2.49, 95% CI 1.24-4.99) was the only prognostic factor for lower disease-free survival. Multivariate analysis showed that age at diagnosis (HR 1.68, 95% CI 1.14-2.47) and stage (HR 2.29, 95% CI 1.01-6.39) were independent predictive factors for poorer overall survival (OS).

CONCLUSIONS

FIGO stage is the most important prognostic factor for recurrence and survival in patients with eEOC. Furthermore, age at diagnosis was identified as a factor that negatively influenced OS. Our data for oncologic outcomes are similar to those reported in previous studies.

Prognostic value of HE4 in patients with ovarian cancer

Background

There is no consensus in the medical community about the prognostic role of preoperative serum levels of human epididymis protein 4 (HE4) in ovarian cancer (OC). The purpose of this meta-analysis was to establish whether preoperative serum levels of HE4 are associated with OC prognosis.

Content

Eligible studies were searched for in PubMed, ClinicalTrials.gov, CNKI and Wanfang Med Online. We performed a meta-analysis of 1315 OC cases from 14 published articles.

Summary

Our meta-analysis demonstrated that high HE4 was associated with poor overall survival (OS) (random effects model, hazard ratio [HR]=1.91, 95% confidence interval [CI]=1.40–2.614, p<0.0001; I2=52%, p=0.04) and; progression-free survival (PFS) (random effects model, HR=1.38, 95% CI=1.13–1.69, p=0.002; I2=85%, p<0.00001). However, subgroup analysis showed that high HE4 was not associated with poor OS (fixed effects model, HR=1.86, 95% CI=0.89–3.89, p=0.1; I2=34%, p=0.22) or PFS (random effects model, HR=1.34, 95% CI=0.95–1.88, p=0.1; I2=69%, p=0.007) for studies including only Asian populations.

Outlook

In conclusion, this meta-analysis shows that high HE4 was associated with poor OC OS and PFS overall. However, the association of high HE4 with poor OS and PFS was not observed for Asians. Large-scale, multi-center investigations should be performed.

Ascites-Derived Extracellular microRNAs as Potential Biomarkers for Ovarian Cancer

Ovarian cancer as the most fatal gynecological malignancy is often manifested by excessive fluid accumulation known as ascites or effusion. Ascites-derived microRNAs (miRNAs) may be closely associated with ovarian cancer progression. However, our knowledge of their roles, altered expression, and clinical outcomes remained limited. In this study, large-scale expression profiling of 754 human miRNAs was performed using real-time quantitative polymerase chain reaction and 384-well TaqMan array human miRNA A and B cards to identify differentially expressed miRNAs between extracellular fraction of the ascitic fluid associated with high-grade serous ovarian carcinomas and control plasma. Of the 754 miRNAs, 153 were significantly differentially expressed relative to the controls. Expression of 7 individual miRNAs (miR-200a, miR-200b, miR-200c, miR-141, miR-429, miR-1290, and miR-30a-5p) was further validated in extended sample sets, including serous, endometrioid, and mucinous subtypes. All miR-200 family members and miR-1290 were conspicuously overexpressed, while miR-30a-5p was only weakly overexpressed. The ability of miRNAs expression to discriminate the pathological samples from the controls was strong. Receiver operating characteristic curve analyses found area under the curve (AUC) values of 1.000 for miR-200a, miR-200c, miR-141, miR-429, and miR-1290 and of AUC 0.996 and 0.885 for miR-200b and miR-30a-5p, respectively. Preliminary survival analyses indicated low expression level of miR-200b as significantly related to longer overall survival (hazard ratio [HR]: 0.25, mean survival 44 months), while high expression level was related to poor overall survival (HR: 4.04, mean survival 24 months). Our findings suggested that ascites-derived miRNAs should be further explored and evaluated as potential diagnostic and prognostic biomarkers for ovarian cancer.

Prognostic factors in epithelial ovarian cancer: A population-based study

The overall survival (OS) of patients with ovarian cancer is poor while epithelial ovarian cancer (EOC) is the most lethal gynecologic cancer. The aim of the present study was to evaluate the clinico-pathologic characteristics, especially the prognostic factors, for patients with epithelial ovarian cancer (EOC) in Taiwan. Information about newly diagnosed patients with EOC from 2009 to 2012 was retrieved from the database of the Taiwan Cancer Registry. Data from 2009 to 2013 for the respective cases from the claims database of Taiwan’s National Health Insurance and National Death Registry were then retrieved. Potential prognostic factors were analyzed. The mean age at diagnosis of the 2,498 patients was 52.8 years. Serous carcinoma and clear cell carcinoma were diagnosed in 43.3% and 22.8% of the total patients, respectively. For patients with early-stage disease, taxane-based adjuvant chemotherapy, stage I, and younger age at diagnosis led to better overall survival (p = 0.030, p = 0.002, p<0.001, respectively) in multivariable analysis. For advanced-stage patients, histology (endometrioid type), taxane-based adjuvant chemotherapy, stage, and age at diagnosis had a significant impact on OS (p<0.001, p = 0.020, p<0.001, p<0.001, respectively). In conclusion, taxane-based chemotherapy impacts the outcome of patients with EOC. Personalized medicine may be needed for different histological types of EOC because of their different outcomes.

Correlation between estrogen receptor expression and prognosis in epithelial ovarian cancer: a meta-analysis

OBJECTIVE

Accumulated studies have investigated the prognostic significance of estrogen receptor expression in epithelial ovarian cancer, but results remain controversial. The aim of this study was to perform a meta-analysis to clarify the prognostic value of estrogen receptor expression in epithelial ovarian cancer.

METHODS

A systematic search was performed in PUBMED, EMBASE, and COCHRANE databases to identify relevant studies up to December 2016. The pooled hazard rates (HR) with 95% confidence intervals (CIs) for overall survival and time to tumor progression were calculated and then weighted and pooled in this meta-analysis with a random-effect model.

RESULTS

Thirty-five studies with a total of 5824 patients were included. In brief, the expression of estrogen receptor was associated with an improved overall survival (HR = 0.86, 95% CI = 0.76-0.97), whereas there was no significant difference between estrogen receptor and time to tumor progression among epithelial ovarian cancer patients. Subgroup analysis revealed that estrogen receptor expression was significantly correlated with overall survival in different subgroups, such as in unclassified epithelial ovarian cancer (HR= 0.80, 95% CI = 0.66-0.95), studies using immunohistochemistry detection method (HR= 0.85, 95% CI = 0.73-1.00), European population (HR= 0.75, 95% CI = 0.60-0.94) and estrogen receptor α subtype (HR= 0.78, 95% CI = 0.62-0.98).

CONCLUSIONS

Estrogen receptor, especially estrogen receptor α, was associated with an improved overall survival in epithelial ovarian cancer. Estrogen receptor expression may be a promising prognostic factor in epithelial ovarian cancer patients.