Outcomes of ovarian transposition in cervical cancer; an updated meta-analysis.

BACKGROUND: Cervical cancer is the most common indication for ovarian transposition in reproductive-age women. Ovarian transposition should be performed in premenopausal women undergoing pelvic irradiation to preserve ovarian function, and prevent early menopause. As women become more knowledgeable about their fertility options, it is still unclear who will benefit from the intervention. We updated our previous meta-analysis of ovarian function preservation, symptomatic ovarian cysts, and metastases to the transposed ovaries following ovarian transposition in cervical cancer patients to further guide current clinical practice. METHODS: A systematic search of Medline, Embase, Web of Science, and The Cochrane Library databases, dating from January 1980 to July 2021, was conducted. We computed the summary proportions of women who had ovarian function preservation, non-ovarian cyst formation and metastases to the transposed ovaries following ovarian transposition by random-effects meta-analysis and we explored study heterogeneity by type of radiotherapy. RESULTS: There were 29 publications reporting on 1160 women with cervical cancer who underwent ovarian transposition. In the group that underwent surgery alone, 91% of the women had preserved ovarian function (95% CI 83-100), 89% (95% CI 80-99) of women who did not develop ovarian cysts, and 99% (95% CI 1-5) of women who did not suffer metastases to the transposed ovaries. In the surgery ± brachytherapy (BR) group, the proportion of women with the preserved ovarian function was 93% (95% CI 76-113), 84% (95% CI 69-103) of women who did not develop ovarian cysts, and 99% (95% CI 82-120) of women who did not suffer metastases to the transposed ovaries. In the external beam pelvic radiotherapy (EBRT) ± BR ± surgery group, the proportion of women with the preserved ovarian function was 61% (95% CI 55-69), and 95% (95% CI 85-107) of women who developed ovarian cysts. There were no metastases to the transposed ovaries in that group. CONCLUSIONS: In women with cervical cancer, ovarian transposition offers a significant preservation of the ovarian function. Despite an expected incidence of ovarian cyst formation, it carries almost no risk for metastases to the transposed ovaries.

Survival and Chemosensitivity in Advanced High Grade Serous Epithelial Ovarian Cancer Patients with and without a BRCA Germline Mutation: More Evidence for Shifting the Paradigm towards Complete Surgical Cytoreduction.

Background and Objectives: Approximately 10−15% of high-grade serous ovarian cancer (HGSOC) cases are related to BRCA germline mutations. Better survival rates and increased chemosensitivity are reported in patients with a BRCA 1/2 germline mutation. However, the FIGO stage and histopathological entity may have been confounding factors. This study aimed to compare chemotherapy response and survival between patients with and without a BRCA 1/2 germline mutation in advanced HGSOC receiving neoadjuvant chemotherapy (NACT). Materials and Methods: A cohort of BRCA-tested advanced HGSOC patients undergoing cytoreductive surgery following NACT was analyzed for chemotherapy response and survival. Neoadjuvant chemotherapy served as a vehicle to assess chemotherapy response on biochemical (CA125), histopathological (CRS), biological (dissemination), and surgical (residual disease) levels. Univariate and multivariate analyses for chemotherapy response and survival were utilized. Results: Thirty-nine out of 168 patients had a BRCA ½ germline mutation. No differences in histopathological chemotherapy response between the patients with and without a BRCA ½ germline mutation were observed. Survival in the groups of patients was comparable Irrespective of the BRCA status, CRS 2 and 3 (HR 7.496, 95% CI 2.523−22.27, p < 0.001 & HR 4.069, 95% CI 1.388−11.93, p = 0.011), and complete surgical cytoreduction (p = 0.017) were independent parameters for a favored overall survival. Conclusions: HGSOC patients with or without BRCA ½ germline mutations, who had cytoreductive surgery, showed comparable chemotherapy responses and subsequent survival. Irrespective of BRCA status, advanced-stage HGSOC patients have a superior prognosis with complete surgical cytoreduction and good histopathological response to chemotherapy.

Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within learning datasets. We designed a study to support the feature selection for the 2-year prognostic period and compared the performance of several Machine Learning prediction algorithms for accurate 2-year prognosis estimation in advanced-stage high grade serous ovarian cancer (HGSOC) patients. METHODS: The prognosis estimation was formulated as a binary classification problem. Dataset was split into training and test cohorts with repeated random sampling until there was no significant difference (p = 0.20) between the two cohorts. A ten-fold cross-validation was applied. Various state-of-the-art supervised classifiers were used. For feature selection, in addition to the exhaustive search for the best combination of features, we used the-chi square test of independence and the MRMR method. RESULTS: Two hundred nine patients were identified. The model's mean prediction accuracy reached 73%. We demonstrated that Support-Vector-Machine and Ensemble Subspace Discriminant algorithms outperformed Logistic Regression in accuracy indices. The probability of achieving a cancer-free state was maximised with a combination of primary cytoreduction, good performance status and maximal surgical effort (AUC 0.63). Standard chemotherapy, performance status, tumour load and residual disease were consistently predictive of the mid-term overall survival (AUC 0.63-0.66). The model recall and precision were greater than 80%. CONCLUSION: Machine Learning appears to be promising for accurate prognosis estimation. Appropriate feature selection is required when building an HGSOC model for 2-year prognosis prediction. We provide evidence as to what combination of prognosticators leads to the largest impact on the HGSOC 2-year prognosis.

Are trainees working in obstetrics and gynecology confident and competent in the care of frail gynecological oncology patients?

INTRODUCTION: Older patients undergoing cancer surgery are at increased risk of post-operative complications, prolonged hospital stay, and mortality. Identification of frailty can help predict patients at high risk of peri-operative complications and allow a collaborative, multidisciplinary team approach to their care. A survey was conducted to assess the confidence and knowledge of trainees in obstetrics and gynecology regarding identification and management of peri-operative issues encountered in frail gynecological oncology patients. METHODS: A web-based survey was distributed via the Audit and Research in Gynaecological Oncology (ARGO) collaborative and UK Audit and Research Collaborative in Obstetrics and Gynaecology (UKARCOG) . The survey on the management of frail peri-operative patients was disseminated to doctors-in-training (trainees) working in obstetrics and gynecology in the United Kingdom (UK) and Ireland. Specialty (ST1-7), subspecialty, and general practice trainees, non-training grade doctors, and foundation year doctors currently working in obstetrics and gynecology were eligible. Consultants were excluded. Study data were collected using REDCAP software hosted at the University of Manchester. Responses were collected over a 6-week period between January and February 2020. RESULTS: Of the 666 trainees who participated, 67% (425/666) reported inadequate training in peri-operative management of frail patients. Validated frailty assessment tools were used by only 9% (59/638) of trainees and less than 1% (4/613) were able to correctly identify all the diagnostic features of frailty. Common misconceptions included the use of chronological age and gender in frailty assessments. The majority of trainees (76.5%, 448/586) correctly answered a series of questions relating to mental capacity; however, only 6% (36/606) were able to correctly identify all three diagnostic features of delirium. A total of 87% (495/571) of trainees supported closer collaboration with geriatricians and a multidisciplinary approach. CONCLUSIONS: Obstetrics and gynecology trainees reported inadequate training in the peri-operative care of frail gynecological oncology patients, and overwhelmingly favored input from geriatricians. Routine use of validated frailty assessment tools may aid diagnosis of frailty in the peri-operative setting. There is an unmet need for formal education in the management of frail surgical patients within the UK and Irish obstetrics and gynecology curriculum.

Ovarian transposition and cervical cancer.

Cervical cancer is the fourth most common female malignancy worldwide. As the focus of treatment is shifting towards balancing oncological outcomes with reproductive benefit, women are becoming increasingly aware of their fertility options. Cervical cancer is one of the primary malignancies where transposition of the ovaries may be indicated. Ovarian transposition should be performed in pre-menopausal women, undergoing pelvic irradiation to preserve ovarian function and prevent early menopause. The review discusses the available literature and synthesises a concise summary for gynaecologic oncology surgeons to counsel affected women. The paradoxical controversy, leading to its under use is acknowledged, due to the scarcity of published data with regard to functional outcomes, and the lack of clinical trials. In cervical cancer, ovarian transposition remains a safe fertility preservation (FP) option, which is associated with high ovarian function preservation, an acceptable rate of ovarian cysts and a negligible risk for metastases in the transposed ovaries.