Primary debulking surgery vs. interval debulking surgery for advanced ovarian cancer: review of the literature and meta-analysis

Outcomes of minimal residual disease at upfront debulking surgery compared with complete cytoreduction after neoadjuvant chemotherapy

OBJECTIVE

The aim of this study was to compare surgical complexity, post-operative complications, and survival outcomes between patients with minimal residual disease (completeness of cytoreduction (CC) score) CC-1 at the time of primary debulking surgery and those with complete cytoreduction (CC-0) at the time of interval debulking surgery.

METHODS

A retrospective multicenter study was conducted of patients with advanced ovarian cancer (International Federation of Gynecology and Obstetrics stage IIIC-IV) who underwent cytoreductive surgery achieving either minimal or no residual disease between January 2008 and December 2015. Patients underwent either primary or interval debulking surgery after receiving ≥3 cycles of neoadjuvant chemotherapy. The sub-group of patients with primary debulking surgery/CC-1 was compared with those with interval debulking surgery/CC-0. Overall survival and disease-free survival were estimated using the Kaplan-Meier method.

RESULTS

A total of 549 patients were included, with upfront surgery performed in 175 patients (31.9%) and 374 patients (68.1%) undergoing interval debulking surgery. After primary debulking surgery, 157/175 (89.7%) had complete cytoreduction and 18/175 (10.3%) had minimal residual disease (primary debulking surgery/CC-1 group), while after interval debulking surgery, 324/374 (86.6%) had complete cytoreduction (interval debulking surgery/CC-0 group) and 50/374 (13.4%) had minimal residual disease. The rate of patients with peritoneal cancer index >10 was 14/17 (82.4%) for the primary debulking surgery/CC-1 group and 129/322 (40.1%) for the interval debulking surgery/CC-0 (p<0.001). The rate of patients with an Aletti score of ≥8 was 11/18 (61.1%) and 132/324 (40.7%), respectively (p=0.09) and the rate of major post-operative complications was 5/18 (27.8%) and 64/324 (19.8%), respectively (p=0.38). Overall median disease-free and overall survival were 19.4 months (95% CI 18.0 to 20.6) and 56.7 months (95%CI 50.2 to 65.8), respectively. Median disease-free survival for the primary debulking surgery/CC-1 group was 16.7 months (95% CI 13.6 to 20.0) versus 18.2 months (95% CI 16.4 to 20.0) for the interval debulking surgery/CC-0 group (p=0.56). Median overall survival for the primary debulking surgery/CC-1 group was 44.7 months (95% CI 34.3 to not reached) and 49.4 months (95% CI 46.2 to 57.3) for the interval debulking surgery/CC-0 group (p=0.97).

CONCLUSIONS

Patients with primary debulking surgery with minimal residual disease and those with interval debulking surgery with no residual disease had similar survival outcomes. Interval surgery should be considered when achieving absence of residual disease is challenging at upfront surgery, given the lower tumor burden found during surgery.

The relationship of C-Reactive Protein to Albumin Ratio and interval debulking surgery outcome after neoadjuvant chemotherapy in ovarian cancer patients

OBJECTIVE

To investigate the relationship between the changes of C-reactive protein to Albumin Ratio (CAR) levels and Interval Debulking Surgery (IDS) outcome after Neoadjuvant Chemotherapy (NAC) in ovarian cancer patients.

METHODS

A nested case-control study for 209 patients with ovarian cancer who received NAC-IDS therapy from the First Affiliated Hospital of Bengbu Medical College between 2015‒2021 was conducted. Demographic data, laboratory indicators, and imaging examinations were collected. The outcome was regarded as optimal IDS in this study. Univariate and multivariate logistic regression analyses were performed to assess the relationship of CAR before NAC, CAR after NAC and ∆CAR with optimal IDS. The authors also performed the subgroup analysis based on menopausal state.

RESULTS

The end time of follow-up was January 24, 2022. A total of 156 patients had been treated with optimal IDS, and 53 with suboptimal IDS. After adjusting age, body mass index, menopausal state, NAC drug, peritoneal perfusion and CAR before NAC, the result showed that CAR after NAC (Odds Ratio [OR = 3.48], 95% Confidence Interval [95% CI 1.28‒9.48], p = 0.015) and ∆CAR (OR = 0.29, 95% CI 0.11‒0.78, p = 0.015) were associated with optimal IDS, respectively. Additionally, the authors found a significant correlation between CAR after NAC and optimal IDS (OR = 3.16, 95% CI 1.07‒9.35, p = 0.038), and ∆CAR and optimal IDS (OR = 0.32, 95% CI 0.11‒0.94, p = 0.038) among ovarian cancer patients with menopause.

CONCLUSION

CAR after NAC and ∆CAR were independent prognostic markers of optimal interval debulking surgery for ovarian cancer patients.

Clinical value of serum tumor markers in assessing the efficacy of neoadjuvant chemotherapy in advanced ovarian cancer: single-center prospective clinical study

Objective

This study aimed to assess the clinical importance of various biomarkers, including NLR, CEA, CA199, CA125, CA153, and HE4, through dynamic testing to evaluate the effectiveness of neoadjuvant chemotherapy (NACT) for individuals facing advanced ovarian cancer. This provides valuable information for tailoring treatment plans to individual patients, thereby leading to a more personalized and effective management of individuals facing ovarian cancer.

Methods

The levels of NLR, CA125, CA199, CEA, CA153, and HE4 were detected before chemotherapy and after 3 courses of chemotherapy. Patients were categorized into ineffective and effective groups according to the effectiveness of NACT. To evaluate the factors influencing NACT's effectiveness in individuals facing advanced ovarian cancer, receiver operating characteristic (ROC) curves, predictive modeling, and multifactorial regression analysis were employed.

Results

In the effective group, the patients' age, maximum tumor diameter, and CEA and HE4 levels of the patients were significantly higher compared to those in the ineffective group (P <.05). Additionally, the difference in HE4 levels before and after treatment between the effective and ineffective groups was statistically significant (P<.05). Multifactorial analysis showed that age and maximum tumor diameter were independent risk factors impacting the effectiveness of NACT in individuals facing advanced ovarian cancer (P<.05). The ROC curve for predicting the effectiveness of NACT in individuals facing advanced ovarian cancer showed a sensitivity of 93.3% for NLR and a specificity of 92.3% for CA199. HE4 emerged as the most reliable predictor, demonstrating a specificity of 84.6% and a sensitivity of 75.3%. The area under the curve of the combined CA125 and HE4 assays for predicting the ineffectiveness of NACT in individuals facing advanced ovarian cancer was 0.825, showcasing a specificity of 74.2% and a sensitivity of 84.6%.

Conclusion

The predictive capacity for the effectiveness of NACT in individuals facing advanced ovarian cancer is notably high when considering the sensitivity of NLR and the specificity of CA199. Additionally, the combination of CA125 and HE4 assays can obtain a better predictive effect, which can accurately select patients suitable for NACT, determine the appropriate timing of the interval debulking surgery (IDS) surgery, and achieve a satisfactory tumor reduction effect.

Economic Evaluation of Neoadjuvant Versus Adjuvant Chemotherapy in Cancer Treatment: A Systematic Review and Meta-Analysis

OBJECTIVES

In the absence of evidence on whether neoadjuvant (NAC) or adjuvant chemotherapy (AC) is more beneficial for various tumor treatments, economic evaluation (EE) can assist medical decision making. There is limited evidence on their cost-effectiveness and their prospective evaluation is less likely in the future. Therefore, a systematic review and meta-analysis about EE for NAC versus AC in solid tumor help compare these therapies from various perspectives.

METHODS

Various databases were searched for studies published from inception to 2021. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and economic-specific guidelines. The data were pooled using a random effects model when possible.

RESULTS

The retrieval identified 15 EE studies of NAC versus AC in 8 types of cancer. NAC is the dominant strategy for pancreatic, head and neck, rectal, prostate cancers and colorectal liver metastases. For ovarian cancer, NAC is cost-effective with a lower cost and higher or similar quality-adjusted life-year. There were no significant differences in cost and outcomes for lung cancer. For stage IV or high-risk patients with ovarian or prostate cancer, NAC was cost-effective but not for patients who were not high risk.

CONCLUSIONS

The EEs results for NAC versus AC were inconsistent because of their different model structures, assumptions, cost inclusions, and a shortage of studies. There are multiple sources of heterogeneity across EEs evidence synthesis. More high-quality EE studies on NAC versus AC in initial cancer treatment are necessary.

Honokiol induces ferroptosis in ovarian cancer cells through the regulation of YAP by OTUB2

BACKGROUND

Ovarian cancer (OVCA) is prevalent in female reproductive organs. Despite recent advances, clinical outcomes remain poor, warranting fresh treatment avenues. Honokiol has an inhibitory effect on proliferation, invasion, and survival of cancer cells in vitro and in vivo. Therefore, this study intended to explore specific molecular mechanism by which honokiol affected OVCA progression.

METHODS

Bioinformatics analyzed the drug honokiol that bound to OTU deubiquitinase, ubiquitin aldehyde binding 2 (OTUB2). Cellular thermal shift assay (CETSA) verified the binding relationship between honokiol and OTUB2. Cell counting kit 8 (CCK-8) tested the IC50 value and cell viability of OVCA cells after honokiol treatment. Corresponding assay kits determined malonic dialdehyde (MDA) and Fe2+ levels in OVCA cells. Flow cytometry measured reactive oxygen species levels. Western blot detected OTUB2, SLC7A11, and transcriptional co-activators Yes-associated protein (YAP) expression, and quantitative polymerase chain reaction (qPCR) detected OTUB2 expression. Immunohistochemistry (IHC) detected the expression level of Ki67 protein in tumor tissues.

RESULTS

Honokiol was capable of inducing ferroptosis in OVCA cells. CETSA confirmed that honokiol could bind to OTUB2. Further cell functional and molecular experiments revealed that honokiol induced ferroptosis in OVCA cells via repression of YAP signaling pathway through binding to OTUB2. In addition, in vivo experiments have confirmed that honokiol could inhibit the growth of OVCA.

CONCLUSION

Honokiol induced ferroptosis in OVCA cells via repression of YAP signaling pathway through binding to OTUB2, implicating that OTUB2 may be an effective target for OVCA treatment, and our study results may provide new directions for development of more effective OVCA treatment strategies.

Training the gynecologic oncologists of the future - challenges and opportunities

Several recent advances in gynecologic cancer care have improved patient outcomes. These include national screening and vaccination programs for cervical cancer as well as neoadjuvant chemotherapy for ovarian cancer. Conversely, these advances have cumulatively reduced surgical opportunities for training creating a need to supplement existing training strategies with evidence-based adjuncts. Technologies such as virtual reality and augmented reality, if properly evaluated and validated, have transformative potential to support training. Given the changing landscape of surgical training in gynecologic oncology, we were keen to summarize the evidence underpinning current training in gynecologic oncology.In this review, we undertook a literature search of Medline, Google, Google Scholar, Embase and Scopus to gather evidence on the current state of training in gynecologic oncology and to highlight existing evidence on the best methods to teach surgical skills. Drawing from the experiences of other surgical specialties we examined the use of training adjuncts such as cadaveric dissection, animation and 3D models as well as simulation training in surgical skills acquisition. Specifically, we looked at the use of training adjuncts in gynecologic oncology training as well as the evidence behind simulation training modalities such as low fidelity box trainers, virtual and augmented reality simulation in laparoscopic training. Finally, we provided context by looking at how training curriculums varied internationally.Whereas some evidence to the reliability and validity of simulation training exists in other surgical specialties, our literature review did not find such evidence in gynecologic oncology. It is important that well conducted trials are used to ascertain the utility of simulation training modalities before integrating them into training curricula.

Impact of the time interval between primary or interval surgery and adjuvant chemotherapy in ovarian cancer patients

Introduction

Primary debulking surgery (PDS), interval debulking surgery (IDS), and platinum-based chemotherapy are the current standard treatments for advanced ovarian cancer (OC). The time to initiation of adjuvant chemotherapy (TTC) could influence patient outcomes.

Methods

We conducted a multicenter retrospective cohort study of advanced (International Federation of Gynecology and Obstetrics (FIGO) stage III or IV) OC treated between 2014 and 2018 to assess progression-free survival (PFS) and overall survival (OS) in relation to TTC. All patients underwent a germline multigene panel for BRCA1/2 evaluation.

Results

Among the 83 patients who underwent PDS, a TTC ≥ 60 days was associated with a shorter PFS (hazard ratio (HR) 2.02, 95% confidence interval (CI) 1.04-3.93, p = 0.038), although this association lost statistical significance when adjusting for residual disease (HR 1.52, 95% CI 0.75-3.06, p = 0.244, for TTC and HR 2.73, 95% CI 1.50-4.96, p = 0.001, for residual disease). Among 52 IDS patients, we found no evidence of an association between TTC and clinical outcomes. Ascites, type of chemotherapy, or germline BRCA1/2 mutational status did not influence TTC and were not associated with clinical outcomes in PDS or IDS patients.

Discussion

In conclusion, longer TTC seems to negatively affect prognosis in patients undergoing PDS, especially those with residual disease.

The role of minimally invasive surgery in epithelial ovarian cancer treatment: a narrative review

Objectives

The aim of this narrative review is to summarize the available evidence on the use of minimal invasive surgery (MIS) in the management of epithelial ovarian cancer (EOC).

Background

MIS is currently performed to stage and treat EOC at different stage of presentation. We will evaluate risks and benefits of minimally invasive surgery for early stage EOC treatment, then potential advantages provided by staging laparoscopy in identifying patients suitable for primary cytoreductive surgery (PDS) will be discussed. Finally we will investigate the growing role of MIS in the treatment of advanced EOC after neoadjuvant chemotherapy (NACT) and in the treatment of EOC recurrence.

Methods

An electronic database search was performed on PubMed, Medline, and Google Scholar for relevant studies up to December 2022.

Conclusion

LPS represents a feasible surgical procedure for the staging and treatment in early, advanced and EOC relapse in selected patients treated in high-volume oncological centers by surgeons with adequate experience in advanced surgical procedures. Despite the increasing use of MIS over the last few years, randomized clinical trials are still needed to prove its effectiveness.

Concordance of Radiological, Laparoscopic and Laparotomic Scoring to Predict Complete Cytoreduction in Women with Advanced Ovarian Cancer

OBJECTIVE

To identify the best method among the radiologic, laparoscopic and laparotomic scoring assessment to predict the outcomes of cytoreductive surgery in patients with advanced ovarian cancer (AOC).

METHODS

Patients with AOC who underwent pre-operative computed tomography (CT) scan, laparoscopic evaluation, and cytoreductive surgery between August 2016 and February 2021 were retrospectively reviewed. Predictive Index (PI) score and Peritoneal Cancer Index (PCI) scores were used to estimate the tumor load and predict the residual disease in the primary debulking surgery (PDS) and interval debulking surgery (IDS) after neoadjuvant chemotherapy (NACT) groups. Concordance percentages were calculated between the two scores.

RESULTS

Among 100 eligible patients, 69 underwent PDS, and 31 underwent NACT and IDS. Complete cytoreduction was achieved in 72.5% of patients in the PDS group and 77.4% in the IDS. In patients undergoing PDS, the laparoscopic PI and the laparotomic PCI had the best accuracies for complete cytoreduction (R0) [area under the curve (AUC) = 0.78 and AUC = 0.83, respectively]. In the IDS group, the laparotomic PI (AUC = 0.75) and the laparoscopic PCI (AUC= 0.87) were associated with the best accuracy in R0 prediction. Furthermore, radiological assessment, through PI and PCI, was associated with the worst accuracy in either PDS or IDS group (PI in PDS: AUC = 0.64; PCI in PDS: AUC = 0.64; PI in IDS: AUC = 0.46; PCI in IDS: AUC = 0.47).

CONCLUSION

The laparoscopic score assessment had high accuracy for optimal cytoreduction in AOC patients undergoing PDS or IDS. Integrating diagnostic laparoscopy in the decision-making algorithm to accurately triage AOC patients to different treatment strategies seems necessary.

Pattern Classification for Ovarian Tumors by Integration of Radiomics and Deep Learning Features

BACKGROUND

Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor prognosis. The survival rate of 70% of patients with ovarian cancer is less than 5 years, while benign ovarian tumor is better, so the early diagnosis of ovarian cancer is important for the treatment and prognosis of patients.

OBJECTIVES

Our aim is to establish a classification model for ovarian tumors.

METHODS

We extracted radiomics and deep learning features from patients'CT images. The four-step feature selection algorithm proposed in this paper was used to obtain the optimal combination of features, then, a classification model was developed by combining those selected features and support vector machine. The receiver operating characteristic curve and an area under the curve (AUC) analysis were used to evaluate the performance of the classification model in both the training and test cohort.

RESULTS

The classification model, which combined radiomics features with deep learning features, demonstrated better classification performance with respect to the radiomics features model alone in training cohort (AUC 0.9289 vs. 0.8804, P < 0.0001, accuracy 0.8970 vs. 0.7993, P < 0.0001), and significantly improve the performance in the test cohort (AUC 0.9089 vs. 0.8446, P = 0.001, accuracy 0.8296 vs. 0.7259, P < 0.0001).

CONCLUSION

The experiments showed that deep learning features play an active role in the construction of classification model, and the proposed classification model achieved excellent classification performance, which can potentially become a new auxiliary diagnostic tool.

Nomogram to predict postoperative complications after cytoreductive surgery for advanced epithelial ovarian cancer: A multicenter retrospective cohort study

Objective

To establish nomograms to predict the risk of postoperative complications following cytoreductive surgery in patients with advanced epithelial ovarian cancer (AEOC).

Methods

A multicenter retrospective cohort study that included patients with FIGO stage IIIC-IV epithelial ovarian cancer who underwent cytoreductive surgery was designed. By using univariate and multivariate analyses, patient preoperative characteristics were used to predict the risk of postoperative complications. Multivariate modeling was used to develop Nomograms.

Results

Overall, 585 AEOC patients were included for analysis (training cohort = 426, extrapolation cohort = 159). According to the findings, the training cohort observed an incidence of postoperative overall and severe complications of 28.87% and 6.10%, respectively. Modified frailty index (mFI) (OR 1.96 and 2.18), FIGO stage (OR 2.31 and 3.22), and Surgical Complexity Score (SCS) (OR 1.16 and 1.23) were the clinical factors that were most substantially associated to the incidence of overall and severe complications, respectively. The resulting nomograms demonstrated great internal discrimination, good consistency, and stable calibration, with C-index of 0.74 and 0.78 for overall and severe complications prediction, respectively. A satisfactory external discrimination was also indicated by the extrapolation cohort, with the C-index for predicting overall and severe complications being 0.92 and 0.91, respectively.

Conclusions

The risk of considerable postoperative morbidity exists after cytoreductive surgery for AEOC. These two nomograms with good discrimination and calibration might be useful to guide clinical decision-making and help doctors assess the probability of postoperative complications for AEOC patients.

Prognostic nomogram that predicts progression-free survival and overall survival of patients with ovarian clear cell carcinoma

Objectives

We aims to develop nomograms to predict progression-free survival (PFS) and overall survival (OS) in patients with ovarian clear cell carcinoma (OCCC) after primary treatment and compare the predictive accuracy with the currently used International Federation of Gynecology and Obstetrics (FIGO) system.

Methods

We collected data from 358 Chinese patients diagnosed with OCCC and who underwent standard treatment at our hospital. Patients diagnosed from 1982-9 to 2011-12 were classified as the training group and patients diagnosed from 2012-1 to 2016-11 were classified as the validation group. Nomograms were developed based on the training group and was validated in the validation group. The predictive performance was determined by concordance index and calibration curve.

Results

The most predictive nomogram for PFS was constructed using variables: thrombosis, the FIGO staging, residual of the tumor and distant metastasis, with a concordance index of 0.738. While the nomogram for OS consisted of thrombosis, lymph node metastasis, residual of the tumor, malignant ascites/washing, and platinum resistance, with a concordance index of 0.835. The nomograms were internally validated by concordance indexes of 0.775 and 0.807 for predicting PFS and OS, respectively. In comparison, the concordance statistics for OS based on the FIGO staging was significantly lower (P&lt;0.05).

Conclusion

We have established two prognostic nomograms for recurrence and long-term survival in patients with OCCC after primary treatment in a large Chinese center and validated them in patients from the same center. This tool used variables specifically related to OCCC and was more accurate than the FIGO system. It is relatively easy to use in clinic for patient counseling, postoperative management, and follow-up for individual patients.

Downregulated Dual-Specificity Protein Phosphatase 1 in Ovarian Carcinoma: A Comprehensive Study With Multiple Methods

Introduction: We aimed to explore the abnormal expression of dual-specificity protein phosphatase 1 (DUSP1) and its latent molecular mechanisms in ovarian carcinoma (OVCA).

Materials and Methods: Two clinical cohorts collected from two different hospitals were used to evaluate the expression of DUSP1 protein in OVCA tissues. RNA-sequencing and microarray datasets were utilised to verify DUSP1 expression at mRNA levels in both OVCA tissues and in the peripheral blood of OVCA patients. Furthermore, an integrated calculation was performed to pool the standard mean difference (SMD) from each cohort in order to comprehensively assess the expression of DUSP1 in OVCA. Furthermore, we examined the relationship among DUSP1, tumour microenvironment (TME), and chemotherapy resistance in OVCA. Moreover, we used pathway enrichment analysis to explore the underlying mechanisms of DUSP1 in OVCA.

Results: A pooled SMD of −1.19 (95% CI [−2.00, −0.38], p = 0.004) with 1,240 samples revealed that DUSP1 was downregulated in OVCA at both mRNA and protein levels. The area under the receiver operating characteristic curve of 0.9235 indicated the downregulated DUSP1 in peripheral blood may have a non-invasive diagnostic value in OVCA. Through six algorithms, we identified that DUSP1 may related to tumour-infiltrating T cells and cancer associated fibroblasts (CAFs) in OVCA. Pathway enrichment demonstrated that DUSP1 might participate in the mitogen-activated protein kinase (MAPK) signalling pathway. Furthermore, DUSP1 may have relations with chemotherapy resistance, and a favourable combining affinity was observed in the paclitaxel-DUSP1 docking model.

Conclusion: DUSP1 was downregulated in OVCA, and this decreasing trend may affect the infiltration of CAFs. Finally, DUSP1 may have a targeting relation with paclitaxel and participate in MAPK signaling pathways.

Complications after advanced ovarian cancer surgery-A population-based cohort study

INTRODUCTION

Surgical complications after primary or interval debulking surgery in advanced ovarian cancer were investigated and associations with patient characteristics and surgical outcomes were explored.

MATERIAL AND METHODS

A population-based cohort study including all women with ovarian cancer, FIGO III-IV, treated with primary or interval debulking surgery, 2013-2017. Patient characteristics, surgical outcomes and complications according to the Clavien-Dindo (CD) classification system ≤30 days postoperatively, were registered. Uni- and multivariable regression analyses were performed with severe complications (CD ≥ III) as endpoint. PFS in relation was analyzed using the Kaplan-Meier method.

RESULTS

The cohort included 384 women, where 304 (79%) were treated with primary and 80 (21%) with interval debulking surgery. Complications CD I-V were registered in 112 (29%) patients and CD ≥ III in 42 (11%). Preoperative albumin was significantly lower in the CD ≥ III cohort compared with CD 0-II (P = 0.018). For every increase per unit in albumin, the risk of complications decreased by a factor of 0.93. There was no significant difference in completed chemotherapy between the cohorts CD 0-II 90.1% and CD ≥ III 83.3% (P = 0.236). In the univariable analysis; albumin <30 g/L, primary debulking surgery, complete cytoreduction and intermediate/high surgical complexity score (SCS) were associated with CD ≥ III. In the following multivariable analysis, only intermediate/high SCS was found to be an independent significant prognostic factor. Low (n = 180) vs intermediate/high SCS (n = 204) showed a median PFS of 17.2 months (95% confidence interval [CI] 15.2-20.7) vs 21.5 months (95% CI 18.2-25.7), respectively, with a significant log-rank; P = 0.038.

CONCLUSIONS

Advanced ovarian cancer surgery is associated with complications but no significant difference was seen in completion of adjuvant chemotherapy when severe complications occur. Importantly, our study shows that intermediate/high SCS is an independent prognostic risk factor for complications. Low albumin, residual disease and primary debulking surgery were found to be associated with severe complications. These results may facilitate forming algorithms in the decision-making procedure of surgical treatment protocols.

A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma

Objective

To develop a combined nomogram based on preoperative multimodal magnetic resonance imaging (mMRI) and clinical information for predicting recurrence in patients with high-grade serous ovarian carcinoma (HGSOC).

Methods

This retrospective study enrolled 141 patients with clinicopathologically confirmed HGSOC, including 65 patients with recurrence and 76 without recurrence. Radiomics features were extracted from the mMRI images (FS-T2WI, DWI, and T1WI+C). L1 regularization-based least absolute shrinkage and selection operator (LASSO) regression was performed to select radiomics features. A multivariate logistic regression analysis was used to build the classification models. A nomogram was established by incorporating clinical risk factors and radiomics Radscores. The area under the curve (AUC) of receiver operating characteristics, accuracy, and calibration curves were assessed to evaluate the performance of classification models and nomograms in discriminating recurrence. Kaplan-Meier survival analysis was used to evaluate the associations between the Radscore or clinical factors and disease-free survival (DFS).

Results

One clinical factor and seven radiomics signatures were ultimately selected to establish the predictive model for this study. The AUCs for identifying recurrence in the training and validation cohorts were 0.76 (0.68, 0.84) and 0.67 (0.53, 0.81) with the clinical model, 0.78 (0.71, 0.86) and 0.74 (0.61, 0.86) with the multiradiomics model, and 0.83 (0.77, 0.90) and 0.78 (0.65, 0.90) with the combined nomogram, respectively. The DFS was significantly shorter in the high-risk group than in the low-risk group.

Conclusion

By incorporating radiomics Radscores and clinical factors, we created a radiomics nomogram to preoperatively identify patients with HGSOC who have a high risk of recurrence, which may serve as a potential tool to guide personalized treatment.

The prognostic effect of residual tumor for advanced epithelial ovarian cancer treated with neoadjuvant chemotherapy or primary debulking surgery

PURPOSE

The role of neoadjuvant chemotherapy (NACT) and primary debulking surgery (PDS) in advanced epithelial ovarian cancer (EOC) remains controversial. This study aimed to investigate the prognosis between NACT and PDS in advanced EOC. We also investigated the prognostic effect of the residual tumor (RT) after NACT and PDS.

METHODS

Patients with stage III-IV EOC diagnosed between 2010 and 2017 were included from the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square test, multivariate logistic regression analysis, Kaplan-Meier curves, and Cox proportional hazards model were used for statistical analyses.

RESULTS

A total of 5522 women patients were identified, 2017 (36.5%) and 3505 (63.5%) patients received NACT and PDS, respectively. There were 2971 (53.8%), 1637 (29.6%), and 914 (16.6%) patients who had no residual tumor, RT ≤1 cm, and RT >1 cm, respectively. There were 25.5% of patients receiving NACT in 2010 and 48.4% in 2017 (p < 0.001). Women treated with NACT were not related to a higher chance of complete resection than the PDS group (p = 0.098). Patients receiving PDS had significantly better cancer-specific survival (CSS) than those receiving NACT (p < 0.001). The 5-year CSS was 35.3% and 51.1% in those receiving NACT and PDS, respectively. In patients receiving NACT, those who had no residual tumor had significantly better CSS compared to those who had RT ≤1 cm (p < 0.001), while comparable CSS was found between those who had RT ≤1 cm and RT >1 cm (p = 0.442). In those receiving PDS, the CSS was decreased with a RT increase (p < 0.001).

CONCLUSIONS

Our study suggests that PDS may be the optimal procedure for the majority of advanced EOC patients. Complete resection of all residual diseases should be the goal with the increased utilization of NACT.

The Impact of Surgical Treatment with Adjuvant Chemotherapy for Ovarian Cancer on Disorders in the Urinary System and Quality of Life in Women

Ovarian cancer is the fourth-most-common cause of death among all malignant cancers in women in Poland. This study aimed to compare the functioning of the urinary system and quality of life in women in the 12-month period following the completion of surgery or adjuvant treatment for ovarian cancer, with patients who underwent a hysterectomy for non-oncological reasons (control group). The study group consisted of 50 patients diagnosed with stage I−III ovarian cancer. Among 38 patients with type II ovarian cancer (group A), surgery followed by first-line chemotherapy was performed. Within this group of patients, 20 had stage I ovarian cancer, while 18 had stage II ovarian cancer. The study was performed at least 6 months after the final chemotherapy cycle, with no clinical, marker or radiological recurrence determined. On the other hand, in 12 patients with stage I type I ovarian cancer, oncological treatment consisted of only surgery, without the need for adjuvant chemotherapy, due to the low stage of the lesions (group B). In turn, the control group consisted of 50 women who underwent uterine removal for non-oncological reasons (group C). The assessment of quality of life was conducted using the questionnaires: Satisfaction with Life Scale (SWLS); Incontinence Impact Questionnaire, short form (IIQ-7); Urogenital Distress Inventory (UDI-6); and the Sexual Satisfaction Scale for 3, 6, 9, and 12 months after the conclusion of oncological treatment. During the follow-up, a significant reduction in the quality of everyday life and sexual life was noted among patients with ovarian cancer, more pronounced in group B, compared to the control group (p < 0.05). The risk of urinary incontinence is independent of the treatment regimen chosen for ovarian cancer. It is necessary to consider comprehensive psychological care and sexual therapy in patients with ovarian cancer and their families.

Combined PD-1/PD-L1 and tumor-infiltrating immune cells redefined a unique molecular subtype of high-grade serous ovarian carcinoma

Background

High-grade serous ovarian carcinoma is highly heterogeneous, and although many studies have been conducted to identify high-grade serous ovarian carcinoma molecular subtypes that are sensitive to immunotherapy, no precise molecular subtype has been proposed to date. Immune cell infiltration and immune checkpoints are highly correlated with immunotherapy. Here, we investigated immune cell infiltration and immune checkpoint values for prognosis and precise immunotherapy for high-grade serous ovarian carcinoma based on molecular subtype classification.

Results

“High antigen-presenting cells infiltration molecular subtype of high-grade serous ovarian carcinoma” was identified in immune cell infiltration profiles. Each of the three immune cell infiltration clusters (A, B, and C) demonstrated distinct immune cell characterization, with immune cell infiltration cluster C exhibiting high antigen-presenting cell infiltration, improved prognosis, and higher sensitivity to immunotherapy. Programmed death-1/programmed death ligand 1 has a prognostic and predictive role that can help classify molecular subtypes.

Conclusions

Our findings redefined a unique molecular subtype of high-grade serous ovarian carcinoma, suggesting that high-grade serous ovarian carcinoma patients with higher antigen-presenting cell infiltration and programmed death-1/programmed death ligand 1 expression can benefit from precise immunotherapy.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-021-08265-y.

Performance validation of the Mayo triage algorithm applied to individualize surgical management of advanced epithelial ovarian cancer

OBJECTIVE

To externally validate the performance of the Mayo triage algorithm applied to treatment strategy management in advanced epithelial ovarian cancer (AEOC) patients.

METHODS

AEOC patients who underwent primary debulking surgery (PDS) were included and were divided into two groups based on the Mayo triage algorithm: "high risk" and "triage appropriate". The surgery outcomes and complications of the patients were compared between the two groups.

RESULTS

179 consecutive AEOC patients were enrolled for analysis, including 32 patients in the high-risk group and 147 patients in the triage-appropriate group. The results showed that patients in the high-risk group were older, had worse physical status and had lower preoperative serum albumin than those in the triage-appropriate group (P<0.01). The high-risk group had a lower proportion of women who underwent intermediate/high complexity surgery (38% vs. 72%, P<0.01) as well as a lower proportion of women who underwent optimal resection (50% vs. 71%, P<0.05). Furthermore, the incidence of 30-day complications (28% vs. 5%, P<0.01) and the proportion of patients who were unable to undergo adjuvant chemotherapy after PDS (22% vs. 2%, P<0.01) were both significantly higher in the high-risk group than in the triage-appropriate group. In addition, compared to the triage-appropriate group, the 90-day mortality rate in the high-risk group was also notably higher, but the difference was not statistically significant (6% vs. 1%, P=0.15).

CONCLUSION

The validity of the Mayo triage algorithm for treatment decision-making in AEOC was externally confirmed in this study. This short-term complication assessment tool could be effectively used for the individualized primary management of high-risk AEOC patients. The feasibility of the Mayo triage algorithm for use in long-term management should be further explored.

Radiomics Analysis of PET and CT Components of 18F-FDG PET/CT Imaging for Prediction of Progression-Free Survival in Advanced High-Grade Serous Ovarian Cancer

Objective

To investigate radiomics features extracted from PET and CT components of ¹⁸F-FDG PET/CT images integrating clinical factors and metabolic parameters of PET to predict progression-free survival (PFS) in advanced high-grade serous ovarian cancer (HGSOC).

Methods

A total of 261 patients were finally enrolled in this study and randomly divided into training (n=182) and validation cohorts (n=79). The data of clinical features and metabolic parameters of PET were reviewed from hospital information system(HIS). All volumes of interest (VOIs) of PET/CT images were semi-automatically segmented with a threshold of 42% of maximal standard uptake value (SUVmax) in PET images. A total of 1700 (850×2) radiomics features were separately extracted from PET and CT components of PET/CT images. Then two radiomics signatures (RSs) were constructed by the least absolute shrinkage and selection operator (LASSO) method. The RSs of PET (PET_RS) and CT components(CT_RS) were separately divided into low and high RS groups according to the optimum cutoff value. The potential associations between RSs with PFS were assessed in training and validation cohorts based on the Log-rank test. Clinical features and metabolic parameters of PET images (PET_MP) with P-value <0.05 in univariate and multivariate Cox regression were combined with PET_RS and CT_RS to develop prediction nomograms (Clinical, Clinical+ PET_MP, Clinical+ PET_RS, Clinical+ CT_RS, Clinical+ PET_MP + PET_RS, Clinical+ PET_MP + CT_RS) by using multivariate Cox regression. The concordance index (C-index), calibration curve, and net reclassification improvement (NRI) was applied to evaluate the predictive performance of nomograms in training and validation cohorts.

Results

In univariate Cox regression analysis, six clinical features were significantly associated with PFS. Ten PET radiomics features were selected by LASSO to construct PET_RS, and 1 CT radiomics features to construct CT_RS. PET_RS and CT_RS was significantly associated with PFS both in training (P <0.00 for both RSs) and validation cohorts (P=0.01 for both RSs). Because there was no PET_MP significantly associated with PFS in training cohorts. Only three models were constructed by 4 clinical features with P-value <0.05 in multivariate Cox regression and RSs (Clinical, Clinical+ PET_RS, Clinical+ CT_RS). Clinical+ PET_RS model showed higher prognostic performance than other models in training cohort (C-index=0.70, 95% CI 0.68-0.72) and validation cohort (C-index=0.70, 95% CI 0.66-0.74). Calibration curves of each model for prediction of 1-, 3-year PFS indicated Clinical +PET_RS model showed excellent agreements between estimated and the observed 1-, 3-outcomes. Compared to the basic clinical model, Clinical+ PET_MS model resulted in greater improvement in predictive performance in the validation cohort.

Conclusion

PET_RS can improve diagnostic accuracy and provide complementary prognostic information compared with the use of clinical factors alone or combined with CT_RS. The newly developed radiomics nomogram is an effective tool to predict PFS for patients with advanced HGSOC.

GSTP1 and ABCB1 Polymorphisms Predicting Toxicities and Clinical Management on Carboplatin and Paclitaxel-Based Chemotherapy in Ovarian Cancer

Variation in drug disposition genes might contribute to susceptibility to toxicities and interindividual differences in clinical management on chemotherapy for epithelial ovarian cancer (EOC). This study was designed to explore the association of GST and ABCB1 genetic variation with hematologic and neurologic toxicity, changes in chemotherapy, and disease prognosis in Brazilian women with EOC. A total of 112 women with a confirmed histological diagnosis of EOC treated with carboplatin/paclitaxel were enrolled (2014–2019). The samples were analyzed by multiplex polymerase chain reaction (PCR) for the deletion of GSTM1 and GSTT1 genes. GSTP1 (c.313A>G/rs1695) and ABCB1 (c.1236C>T/rs1128503; c.3435C>T/rs1045642; c.2677G>T>A/rs2032582) single nucleotide polymorphisms (SNPs) were detected by real‐time PCR. Subjects with the GSTP1 c.313A>G had reduced risk of anemia (odds ratio (OR): 0.17, 95% confidence interval (CI): 0.04–0.69, P = 0.01, dominant model) and for thrombocytopenia (OR: 0.27, 95% CI: 0.12–0.64, P < 0.01; OR 0.18, 95% CI 0.03–0.85, P = 0.03, either dominant or recessive model), respectively. The GSTP1 c.313A>G AG genotype was associated with a lower risk of dose delay (OR: 0.35, 95% CI: 0.13–0.90, P = 0.03). The ABCB1 c.1236C>T was associated with increased risk of thrombocytopenia (OR: 0.15, 95% CI: 0.03–0.82, P = 0.03), whereas ABCB1 c.3435C>T had increased risk of grade 2 and 3 neurotoxicity (OR: 3.61, 95% CI: 1.08–121.01, P = 0.03) in recessive model (CC + CT vs. TT). This study suggests that GSTP1 c.313A>G, ABCB1 c.1236C>T, and c.3435C>T SNP detection is a potential predictor of hematological toxicity and neurotoxicity and could help predict the clinical management of women with EOC.

Role of biomarkers for early detection of ovarian cancer recurrence

Ovarian cancer is frequently diagnosed at an advanced stage and a fraction of these patients fail to respond to primary therapy and relapses in 70% of cases. On account of the high recurrence probability and the poor outcomes after recurrence, there is an urgent need to predict progression as early as possible and thus found the strategies to detect and prevent a recurrence. Considering that biomarkers have contributed to the management of ovarian cancer by distinguishing benign and malignant pelvic masses and monitoring response to treatment, in this review, we aim to discuss the latest evidence reported in the literature about the use of biomarkers to detect OC recurrence. In detail, we summarized all the evidence of the most quoted biomarkers like HE4, osteopontin, mesothelin (MSLN), Folate receptor α (FOLR1), paraneoplastic antigens, miRNA, cancer stem cells (CSCs) and a combination of them to evaluate their role as prognostic biomarkers for ovarian cancer recurrence.

A multivariate analysis of the prognostic impact of tumor burden, surgical timing and complexity after complete cytoreduction for advanced ovarian cancer

OBJECTIVE

To assess the survival benefit of primary debulking surgery (PDS) compared to interval debulking surgery (IDS) after complete cytoreduction (CC-0) or cytoreduction to minimal residual disease (CC-1) in advanced ovarian cancer. Secondary objective was to evaluate the effect of tumor load and surgical complexity on patients' survival.

METHODS

A retrospective multicentric study was designed, including patients with IIIC-IV FIGO stage ovarian cancer who underwent PDS or IDS with CC-0 or CC-1 from January 2008 to December 2015 in four high-volume institutions. Patients were classified in three groups: PDS, IDS after 3-4 cycles of neoadjuvant chemotherapy (NACT), and IDS after 6 cycles. Disease-free survival (DFS) and overall survival (OS) were estimated. Univariable and multivariable analyses were conducted.

RESULTS

We included 549 patients, 175 (31.9%) underwent PDS, 224 (40.8%) had IDS after 3-4 cycles of NACT, and 150 (27.3%) underwent IDS after 6 cycles. Median DFS in PDS, IDS at 3-4 cycles and IDS at 6 cycles were 23.0 months (95%CI = [20.0-29.3]), 18.0 months (95%CI = [15.9-20.0]) and 17.1 months (95%CI = [15.0-20.9]), respectively; p < .001. Median OS were 84.0 months (95%CI = [68.3-111.0]), 50.7 months (95%CI = [44.6-59.5]) and 47.5 months (95%CI = [39.3-52.9]), respectively; p < .001. In multivariable analysis, high peritoneal cancer index score and NACT were negatively associated to DFS and OS. Surgical complexity and CC-1 were negatively associated to DFS.

CONCLUSION

PDS offered a survival gain of almost three years compared to IDS in patients with minimal or no residual disease after surgery. PDS should remain the standard of care for advanced ovarian cancer.