Multidisciplinary Surgical Approach to Increase Complete Cytoreduction Rates for Advanced Ovarian Cancer in a Tertiary Gynecologic Oncology Center

Collaborative expertise of gynecological and surgical oncologists in managing advanced epithelial ovarian cancer

BACKGROUND

Most patients with epithelial ovarian cancer (EOC) present with significant peritoneal spread. We assessed collaborative efforts of surgical and gynecological oncologists with expertise in cytoreductive surgery (CRS) in the management of advanced EOC.

METHODS

Using a prospective single-center database (2014-2022), we described the operative and oncologic outcomes of stage IIIC-IVA primary and recurrent EOC perioperatively managed jointly by gynecological and surgical oncologists both specializing in CRS and presented components of this collaboration.

RESULTS

Of 199 identified patients, 132 (66 %) had primary and 53 (27 %) had recurrent EOC. Due to inoperable disease, 14 (7 %) cases were aborted and excluded from analysis. Median peritoneal cancer index (PCI) in primary and recurrent patients was 21 (IQR: 11-28) and 21 (IQR: 6-31). Upper abdominal surgery was required in 95 % (n = 125) of primary and 89 % (n = 47) of recurrent patients. Bowel resections were performed in 83 % (n = 110) and 72 % (n = 38), respectively. Complete cytoreduction (CC-0/1) with no disease or residual lesions <2.5 mm was achieved in 95 % (n = 125) of primary and 91 % (n = 48) of recurrent patients. Ninety-day Clavien-Dindo grade III-IV morbidity was 12 % (n = 16) and 21 % (n = 11), respectively. Median follow-up was 44 (95%CI: 33-55) months. Median overall survival in primary and recurrent EOC was 68 (95%CI: 45-91) and 50 (95%CI: 16-84) months. Median progression-free survival was 26 (95%CI: 22-30) and 14 (95%CI: 7-21) months, respectively.

CONCLUSIONS

Perioperative collaboration between surgical and gynecological oncologists specializing in CRS allows safe performance of complete cytoreduction in the majority of patients with primary and recurrent EOC, despite high tumor burden.

Multidisciplinary Surgical Approach to Increase Survival for Advanced Ovarian Cancer in a Tertiary Gynaecological Oncology Centre

PURPOSE

The purpose of this paper is to report on changes in overall survival, progression-free survival, and complete cytoreduction rates in the 5-year period after the implementation of a multidisciplinary surgical team (MDT).

METHODS

Two cohorts were used. Cohort A was a retrospectively collated cohort from 2006 to 2015. Cohort B was a prospectively collated cohort of patients from January 2017 to September 2021.

RESULTS

This study included 146 patients in cohort A (2006-2015) and 174 patients in cohort B (2017-2021) with FIGO stage III/IV ovarian cancer. Median follow-up in cohort A was 60 months and 48 months in cohort B. The rate of primary cytoreductive surgery increased from 38% (55/146) in cohort A to 46.5% (81/174) in cohort B. Complete macroscopic resection increased from 58.9% (86/146) in cohort A to 78.7% (137/174) in cohort B (p < 0.001). At 3 years, 75% (109/144) patients had disease progression in cohort A compared with 48.8% (85/174) in cohort B (log-rank, p < 0.001). Also at 3 years, 64.5% (93/144) of patients had died in cohort A compared with 24% (42/174) of cohort B (log-rank, p < 0.001). Cox multivariate analysis demonstrated that MDT input, residual disease, and age were independent predictors of overall (hazard ratio [HR] 0.29, 95% confidence interval [CI] 0.203-0.437, p < 0.001) and progression-free survival (HR 0.31, 95% CI 0.21-0.43, p < 0.001). Major morbidity remained stable throughout both study periods (2006-2021).

CONCLUSIONS

Our data demonstrate that the implementation of multidisciplinary-team, intraoperative approach allowed for a change in surgical philosophy and has resulted in a significant improvement in overall survival, progression-free survival, and complete resection rates.

Prerequisites to improve surgical cytoreduction in FIGO stage III/IV epithelial ovarian cancer and subsequent clinical ramifications

BACKGROUND

No residual disease (CC 0) following cytoreductive surgery is pivotal for the prognosis of women with advanced stage epithelial ovarian cancer (EOC). Improving CC 0 resection rates without increasing morbidity and no delay in subsequent chemotherapy favors a better outcome in these women. Prerequisites to facilitate this surgical paradigm shift and subsequent ramifications need to be addressed. This quality improvement study assessed 559 women with advanced EOC who had cytoreductive surgery between January 2014 and December 2019 in our tertiary referral centre. Following implementation of the Enhanced Recovery After Surgery (ERAS) pathway and prehabilitation protocols, the surgical management paradigm in advanced EOC patients shifted towards maximal surgical effort cytoreduction in 2016. Surgical outcome parameters before, during, and after this paradigm shift were compared. The primary outcome measure was residual disease (RD). The secondary outcome parameters were postoperative morbidity, operative time (OT), length of stay (LOS) and progression-free-survival (PFS).

RESULTS

R0 resection rate in patients with advanced EOC increased from 57.3% to 74.4% after the paradigm shift in surgical management whilst peri-operative morbidity and delays in adjuvant chemotherapy were unchanged. The mean OT increased from 133 + 55 min to 197 + 85 min, and postoperative high dependency/intensive care unit (HDU/ICU) admissions increased from 8.1% to 33.1%. The subsequent mean LOS increased from 7.0 + 2.6 to 8.4 + 4.9 days. The median PFS was 33 months. There was no difference for PFS in the three time frames but a trend towards improvement was observed.

CONCLUSIONS

Improved CC 0 surgical cytoreduction rates without compromising morbidity in advanced EOC is achievable owing to the right conditions. Maximal effort cytoreductive surgery should solely be carried out in high output tertiary referral centres due to the associated substantial prerequisites and ramifications.

Metastatic melanoma posing as a pelvic mass

Pelvic metastasis of melanoma is extremely rare and may pose a diagnostic challenge. We present a case report of a female with a history of colon cancer who underwent exploratory surgery for a pelvic mass that was suspicious for ovarian malignancy. Pathology was consistent with both recurrent colon cancer as well as synchronous newly diagnosed metastatic melanoma.

Integrated Clinical and Genomic Models to Predict Optimal Cytoreduction in High-Grade Serous Ovarian Cancer

Simple Summary

Approximately 30% of patients with advanced, high-grade serous ovarian cancer who undergo surgery will have a suboptimal result, resulting in decreased overall survival. Improving the ability to predict a successful surgery would improve survival. We aimed to use tumor genomics to create prediction models, which would predict an optimal or complete cytoreduction prior to entering the operating room. We created two sets of models, one for optimal and one for complete cytoreduction. We then validated those models using the TCGA database as well as statistical learning. We developed 21 models for optimal cytoreduction and 37 models for complete cytoreduction, which have the potential to improve our ability to predict these surgical results in patients with ovarian cancer before taking them to the operating room. Improving our pre-operative decision-making will result in more patients having the desired surgical results and, therefore, improved survival.

Abstract

Advanced high-grade serous (HGSC) ovarian cancer is treated with either primary surgery followed by chemotherapy or neoadjuvant chemotherapy followed by interval surgery. The decision to proceed with surgery primarily or after chemotherapy is based on a surgeon’s clinical assessment and prediction of an optimal outcome. Optimal and complete cytoreductive surgery are correlated with improved overall survival. This clinical assessment results in an optimal surgery approximately 70% of the time. We hypothesize that this prediction can be improved by using biological tumor data to predict optimal cytoreduction. With access to a large biobank of ovarian cancer tumors, we obtained genomic data on 83 patients encompassing gene expression, exon expression, long non-coding RNA, micro RNA, single nucleotide variants, copy number variation, DNA methylation, and fusion transcripts. We then used statistical learning methods (lasso regression) to integrate these data with pre-operative clinical information to create predictive models to discriminate which patient would have an optimal or complete cytoreductive outcome. These models were then validated within The Cancer Genome Atlas (TCGA) HGSC database and using machine learning methods (TensorFlow). Of the 124 models created and validated for optimal cytoreduction, 21 performed at least equal to, if not better than, our historical clinical rate of optimal debulking in advanced-stage HGSC as a control. Of the 89 models created to predict complete cytoreduction, 37 have the potential to outperform clinical decision-making. Prospective validation of these models could result in improving our ability to objectively predict which patients will undergo optimal cytoreduction and, therefore, improve our ovarian cancer outcomes.

Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma

Objective

To compare the performance of clinical factors, FS-T2WI, DWI, T1WI+C based radiomics and a combined clinic-radiomics model in predicting the type of serous ovarian carcinomas (SOCs).

Methods

In this retrospective analysis, 138 SOC patients were confirmed by histology. Significant clinical factors (P < 0.05, and with the area under the curve (AUC) > 0.7) was retained to establish a clinical model. The radiomics model included FS-T2WI, DWI, and T1WI+C, and also, a multisequence model was established. A total of 1,316 radiomics features of each sequence were extracted; the univariate and multivariate logistic regressions, cross-validations were performed to reduce valueless features and then radiomics signatures were developed. Nomogram models using clinical factors, combined with radiomics features, were developed in the training cohort. The predictive performance was validated by receiver operating characteristic curve (ROC) analysis and decision curve analysis (DCA). A stratified analysis was conducted to compare the differences between the combined radiomics model and the clinical model in identifying low- and high-grade SOC.

Results

The AUC of the clinical model and multisequence radiomics model in the training and validation cohorts was 0.90 and 0.89, 0.91 and 0.86, respectively. By incorporating clinical factors and multi-radiomics signature, the AUC of the radiomic-clinical nomogram in the training and validation cohorts was 0.98 and 0.95. The model comparison results show that the AUC of the combined model is higher than that of the uncombined models (P= 0.05, 0.002).

Conclusion

The nomogram models of clinical factors combined with MRI multisequence radiomics signatures can help identifying low- and high-grade SOCs and a provide a more comprehensive, effective method to evaluate preoperative risk stratification for SOCs.

Addressing hepatic metastases in ovarian cancer: Recent advances in treatment algorithms and the need for a multidisciplinary approach

The lifetime risk for ovarian cancer incidence is 1.39% and the lifetime risk of death is 1.04%. Most ovarian cancer patients are diagnosed at advanced stages (III, IV) because there were no specific symptoms or existing screening tests. Liver metastases have been found in up to 50% of patients dying of advanced ovarian cancer. Recent studies indicate the need for a multidisciplinary approach from initial diagnosis to oncologic surgery and chemotherapy treatment, mandating the involvement of gynecologic oncologists, surgical oncologist, medical oncologists, hepatobiliary surgeons, and interventional radiologists.

[In vivo biological safety study of porous zinc oxide/hydroxyapatite composite materials]

Objective

To evaluate the in vivo biological safety of porous zinc oxide (ZnO)/hydroxyapatite (HA) composite materials.

Methods

The porous ZnO/HA composite materials and porous HA materials were prepared by the spark plasma sintering technology. First, the materials were characterized, including scanning electron microscopy to observe the material structure, in vitro degradation experiments to detect the degradation rate of the materials, and inductively coupled plasma emission spectrometer to detect the concentration of Zn ²⁺ dissolved out of the composite material degradation. Then the two kinds of material extracts were prepared for acute systemic toxicity test. Fifteen male Kunming mice were randomly divided into groups A, B, and C ( n=5) and injected intraperitoneally with normal saline, HA extracts, and ZnO/HA extracts, respectively. The body mass of the mice was recorded before injection and at 24, 48, and 72 hours after injection. The liver and kidney tissues were taken at 72 hours for HE staining to evaluate the safety of the composite material. Finally, the biological safety of the material in vivo was evaluated by implantation experiment. The eighteen male New Zealand white rabbits were randomly divided into HA group and ZnO/HA group ( n=9); a bilateral radius defect model (1 cm) was established, and the right forelimbs of the two groups were implanted with porous HA materials and porous ZnO/HA composite materials, respectively; the left untreated as a blank control. The general condition of the animals were observed after operation. The rabbit blood was collected at 1 day before operation and at 1 day, 1 week, 4 weeks, and 8 weeks after operation for routine blood test (inflammation-related indicators) and blood biochemistry (liver and kidney function-related indicators). X-ray films were taken at 4, 8, and 12 weeks after operation to observe the repair of bone defects.

Results

Material characterization showed that porous ZnO/HA composite materials had interconnected large and small pore structures with a pore size between 50 and 500 μm, which degraded faster than porous HA materials, and continuously and slowly dissolved Zn ²⁺. The acute systemic toxicity test showed that the mice in each group had no abnormal performance after injection, and the body mass increased ( P<0.05). HE staining showed that the cells shape and structure of liver and kidney tissue were normal. Animal implantation experiments showed that all rabbits survived until the experiment was completed; routine blood tests showed inflammation in each group (neutrophils, monocytes, and lymphocytes increased) at 1 day after operation, and all returned to normal at 8 weeks ( P>0.05); compared with 1 day before operation, the content of inflammatory cells in the HA group increased at 1 day, 1 week, and 4 weeks after operation ( P<0.05), and the ZnO/HA group increased at 1 day after operation ( P<0.05); blood biochemistry showed that the liver and kidney function indexes were in the normal range; X-ray films showed that the ZnO/HA group had better osseointegration than the HA group at 4 weeks after operation.

Conclusion

The porous ZnO/HA composite material has good in vivo biological safety and good bone repair ability, which is a potential bone repair material.

Greater-omentum lesion-score (GOLS) as a predictor of residual disease in different regions of the peritoneal cavity in patients undergoing interval cytoreductive surgery for advanced ovarian cancer and its potential clinical utility

BACKGROUND AND AIM

The greater omentum(GO) is a common site of residual disease in patients receiving neoadjuvant chemotherapy for advanced epithelial ovarian cancer. The presence of tumor in the GO could predict presence of disease in other peritoneal regions. The goal of this study was to perform a correlation between the greater-omentum lesion-score(GOLS) and presence of disease in different peritoneal regions and determine its potential utility in guiding interval cytoreductive surgery(CRS).

METHODS

This prospective study included 134 patients undergoing interval CRS from July 1, 2018 to June 30, 2020. Each region of Sugarbaker's Peritobneal Cancer Index(PCI) was given a lesion score(LS) from 0 to 3 according to the diameter of the largest tumor in the region. The GOLS was recorded separately from other structures in the region. Correlation between the GOLS and surgical and pathological LS in each region was performed.

RESULTS

As the GOLS increased, the incidence of disease(surgical LS) in other regions of the peritoneal cavity increased. Receiver operating characteristic(ROC) curves showed area under curve more than 80% for regions 1-2 and 7-8 indicating a high probability of disease in these regions in patients with GOLS 1-3. The positive predictive value(PPV) of preoperative imaging for GOLS was 95.7%. No cut-off of the GOLS could predict presence of disease on pathology with more than 70% accuracy.

CONCLUSIONS

Presence of disease in the GO warrants performing upper abdominal exploration and/or cytoreduction and interval CRS should be planned accordingly in these patients. Imaging has a high PPV in detecting disease in the GO.