Association between BMI and oncologic outcomes in epithelial ovarian cancer: a predictors-matched case-control study.

OBJECTIVE: We aimed to study the association between obesity and survival in ovarian cancer (OC) patients, accounting for confounders as disease stage, histology, and comorbidities. METHODS: Retrospective matched case-control study of consecutive patients, with epithelial OC. Obese (body mass index [BMI] ≥ 35 kg m-2) patients were matched in a 1:4 ratio with patients having lower BMIs (BMI < 35 kg m-2) based on disease stage, cytoreduction state, tumor histology and ASA score. We compared the 3-year and total recurrence-free survival and overall survival through Kaplan-Meier survival curves and Cox proportional hazards. RESULTS: Overall, 153 consecutive patients were included, of whom 32 (20.9%) had a BMI ≥ 35. and 121 a BMI < 35. The median follow-up time was 39 months (interquartile range 18-67). Both study groups were similar in multiple prognostic factors, including American Society of Anesthesiologists physical status, completion of cytoreduction, histology and stage of disease (p = 0.981, p = 0.992, p = 0.740 and p = 0.984, respectively). Ninety-five (62.1%) patients underwent robotic surgery and conversion rate from robotic to laparotomy was similar in both groups 2 (6.3%) in obese group vs. 6 (5.0%) in lower BMI patients, p = 0.673. During the follow-up time, the rate of recurrence was similar in both groups; 21 (65.6%) in obese group vs. 68 (57.1%), p = 0.387 and the rate of death events was similar; 16 (50.0%) in obese group vs. 49 (40.5%), p = 0.333). The 3-year OS was higher in the obese group (log rank p = 0.042) but the 3-year RFS was similar in both groups (log rank p = 0.556). Median total OS was similar in both groups 62 months (95% confidence interval 25-98 months) in obese vs. 67 months (95% confidence interval 15-118) in the lower BMI group, log rank p = 0.822. Median RFS was similar in both groups; 61 months (95% confidence interval 47-74) in obese, vs. 54 (95% confidence interval 43-64), log rank p = 0.842. In Cox regression analysis for OS, including obesity, age, laparotomy and neoadjuvant treatment - only neoadjuvant treatment was independently associated with longer OS: odds ratio 1.82 (95% confidence interval 1.09-3.05) and longer RFS: odds ratio 2.16 (95% confidence interval 1.37-3.41). CONCLUSIONS: In the present study on consecutive cases of ovarian cancer, obesity did not seem to be associated with outcome, except for an apparent improved 3-year survival that faded away thereafter.

Gynecologic oncology robot-assisted surgery in octogenarians: Impact of age on hospital stay.

OBJECTIVE: To compare postoperative stay in octogenarians and younger patients undergoing gynecologic oncology robot-assisted surgery. METHODS: A retrospective review of robot-assisted surgery in Gynecological Oncology division during 2019-2022. We included all consecutive cases. Octogenarians (age ≥80 years) and younger patients were investigated by univariable analysis for characteristics and outcome. RESULTS: A total of 816 robot-assisted surgeries were performed, 426 (52.2%) endometrial cancer, 159 (19.5%) ovarian cancer, 27 (3.3%) cervical cancer, 35 (4.3%) endometrial intraepithelial neoplasia, and in 169 (20.7%) the final pathology was benign. There were 60 (7.4%) octogenarians and 756 (92.6%) younger patients. The proportion of patients with an American Society of Anesthesiology score greater than 2 was higher among octogenarians (66.7% vs 32.0%, P < 0.001). The median console time, surgical time, and total operation theater time were similar between groups (P = 0.303, P = 0.643 and P = 0.688, respectively). Conversion rate did not differ between groups (0.4% among younger patients vs 0% in octogenarians, P > 0.99). The median length of stay in the recovery room was similar in both groups (median 170 min, interquartile range [IQR] 125-225 min vs 170 min, IQR 128-240 min in octogenarians, P = 0.731). Length of hospital stay was similar in both age groups; median 1 day (IQR 1-1) among octogenarians versus 1 (0-1) in younger patients (P = 0.136). CONCLUSION: Octogenarians undergoing robotic surgery have no increased risk of length of stay or conversion to laparotomy compared with younger patients.

Machine learning for prediction of concurrent endometrial carcinoma in patients diagnosed with endometrial intraepithelial neoplasia.

OBJECTIVE: To identify predictive clinico-pathologic factors for concurrent endometrial carcinoma (EC) among patients with endometrial intraepithelial neoplasia (EIN) using machine learning. METHODS: a retrospective analysis of 160 patients with a biopsy proven EIN. We analyzed the performance of multiple machine learning models (n = 48) with different parameters to predict the diagnosis of postoperative EC. The prediction variables included: parity, gestations, sampling method, endometrial thickness, age, body mass index, diabetes, hypertension, serum CA-125, preoperative histology and preoperative hormonal therapy. Python 'sklearn' library was used to train and test the models. The model performance was evaluated by sensitivity, specificity, PPV, NPV and AUC. Five iterations of internal cross-validation were performed, and the mean values were used to compare between the models. RESULTS: Of the 160 women with a preoperative diagnosis of EIN, 37.5% (60) had a post-op diagnosis of EC. In univariable analysis, there were no significant predictors of EIN. For the five best machine learning models, all the models had a high specificity (71%-88%) and a low sensitivity (23%-51%). Logistic regression model had the highest specificity 88%, XG Boost had the highest sensitivity 51%, and the highest positive predictive value 62% and negative predictive value 73%. The highest area under the curve was achieved by the random forest model 0.646. CONCLUSIONS: Even using the most elaborate AI algorithms, it is not possible currently to predict concurrent EC in women with a preoperative diagnosis of EIN. As women with EIN have a high risk of concurrent EC, there may be a value of surgical staging including sentinel lymph node evaluation, to more precisely direct adjuvant treatment in the event EC is identified on final pathology.

Interferon response and epigenetic modulation by SMARCA4 mutations drive ovarian tumor immunogenicity.

Cell-intrinsic mechanisms of immunogenicity in ovarian cancer (OC) are not well understood. The presence of damaging mutations in the SWI/SNF chromatin remodeling complex, such as the SMARCA4 (BRG1) catalytic subunit, has been associated with improved response to ICB, however the mechanism by which this occurs is unclear. The aim of this current study was to examine the alterations in tumor cell-intrinsic and extrinsic immune signaling caused by SMARCA4 loss. Using OC models with loss-of-function mutations in SMARCA4 , we found that SMARCA4 loss resulted in increased cancer cell-intrinsic immunogenicity, characterized by upregulation of long-terminal RNA repeats such as endogenous retroviruses, increased expression of interferon-stimulated genes, and upregulation of antigen presentation machinery. Notably, this response was dependent on IRF3 signaling, but was independent of the type I interferon receptor. Mice inoculated with cancer cells bearing SMARCA4 loss demonstrated increased activation of cytotoxic T cells and NK cells in the tumor microenvironment as well as increased infiltration with activated dendritic cells. These results were recapitulated when animals bearing SMARCA4- proficient tumors were treated with a BRG1 inhibitor, suggesting that modulation of chromatin remodeling through targeting SMARCA4 may serve as a strategy to reverse immune evasion in OC.

Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models.

Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Among the key challenges in developing effective therapeutics is the poor translation of preclinical models used in the drug discovery pipeline. This leaves drug attrition rates and costs at an unacceptably high level. Previous work has highlighted the discrepancies in therapeutic response between current in vitro and in vivo models. To address this, we conducted a comparison study to differentiate the carboplatin chemotherapy response across four different model systems including 2D monolayers, 3D spheroids, 3D ex vivo tumors and mouse xenograft models. We used six previously characterized EOC cell lines of varying chemosensitivity and performed viability assays for each model. In vivo results from the mouse model correlated with 2D response in 3/6 cell lines while they correlated with 3D spheroids and the ex vivo model in 4/6 and 5/5 cell lines, respectively. Our results emphasize the variability in therapeutic response across models and demonstrate that the carboplatin response in EOC cell lines cultured in a 3D ex vivo model correlates best with the in vivo response. These results highlight a more feasible, reliable, and cost-effective preclinical model with the highest translational potential for drug screening and prediction studies in EOC.

Oncologic outcomes in the era of modern radiation therapy using FIGO 2018 staging system for cervical cancer.

BACKGROUND: The recently published ASTRO cervical cancer guidelines recommend the use of modern radiotherapy. Imaging is now incorporated in the updated FIGO 2018 staging with a new stage IIIC. This study aims to evaluate the oncologic outcomes and predictors of survival using FIGO 2018 staging in a cohort of patients treated in an era of high-precision image-guided radiotherapy. METHODS: We performed a retrospective cohort study of 216 adult cervical cancer patients treated with definitive chemoradiotherapy between 2010 and 2018. Eligible patients had non-metastatic cervical cancer treated at a single academic institution. All patients had pre-treatment MRI and CT/PET. Treatment protocol consisted of external beam intensity-modulated radiotherapy and 3D image-guided brachytherapy. Kaplan-Meier curves were used for survival analysis. Multivariate cox proportional-hazards model was performed to identify potential prognostic factors. RESULTS: Median age at diagnosis was 50 and median BMI was 26.4 kg/m2. Median follow-up time was 44.3 months. Five-year overall survival (OS), disease-free survival and loco-regional disease-free survival rates were 76.8%, 68.5% and 82.6%, respectively. FIGO 2018 showed better OS discrimination compared to FIGO 2009 classification. OS was increasingly worse with positive pelvic and para-aortic nodes (p < 0.001). In a multivariate prediction model, performance status (p = 0.044) and FIGO 2018 classification (stage III p = 0.016; stage IVA p = 0.010) were predictors of mortality; FIGO 2018 classification (stage III p = 0.003; stage IVA p = 0.001) was a predictor of any recurrence; MRI tumor diameter (p ≤ 0.001) and nodal metastases (p = 0.024) were predictors of loco-regional recurrence. CONCLUSIONS: Integration of state-of-the-art imaging in cervical cancer staging and in radiotherapy planning leads to good loco-regional control rates, however distant recurrence remains an important issue. FIGO 2018 staging better reflects patient prognosis, highlighting the need for new treatment strategies for stage IIIC cervical cancer.

Neoadjuvant radiotherapy and brachytherapy in endometrial cancer with gross cervical involvement: a CHIRENDO research group study.

BACKGROUND: Historically, radical hysterectomy followed by adjuvant radiotherapy has been offered to patients with endometrial cancer who have gross cervical involvement; however, this approach is known to carry considerable morbidity. Neoadjuvant radiotherapy followed by extra-fascial hysterectomy has been proposed as an alternative treatment but has been poorly studied to date. OBJECTIVE: To evaluate the locoregional control rate associated with neoadjuvant radiotherapy followed by extra-fascial hysterectomy. METHODS: A retrospective cohort study of 30 patients with endometrial cancer with gross cervical involvement treated between May 2006 and January 2016 was performed. Eligible patients were those aged >18 years with non-metastatic endometrial adenocarcinoma and gross cervical disease treated with curative intent at the Centre hospitalier de l'Université de Montréal. Treatment protocol consisted of pelvic neoadjuvant radiotherapy and high-dose rate brachytherapy followed by extra-fascial hysterectomy. Kaplan-Meier curves were used for survival analysis. RESULTS: The median age was 60 (range 37-82) and median body mass index was 32 kg/m2 (range 16-55). Twenty-four (80%) patients were diagnosed with a positive cervical/endocervical biopsy. Clinical staging confirmed 36.7% (n=11) as stage II, 20% (n=6) stage IIIB, 30% (n=9) stage IIIC1, and 13.3% (n=4) stage IIIC2. Seventy-seven per cent (n=23) of patients had an endometrioid histology. Locally advanced disease was identified by imaging alone in six patients. Rates of parametrial, adnexal, vaginal, and nodal invasion were 10% (n=3), 6.7% (n=2), 13.3% (n=4), and 43.3% (n=13) at diagnosis, respectively. All patients completed pelvic radiotherapy (13.3% extended field) and 90% received brachytherapy. Twenty per cent (n=6) of surgeries were performed using minimal invasive technique. On surgical specimen, 63.3% (n=19) had complete cervical response, 90% (n=27) had negative margins, and 10% (n=3) had residual nodal involvement. Median follow-up time was 62 months (range 1-120). Six recurrences were identified; all except one involved distant failure, and two with locoregional failure. Five-year locoregional control rate, disease-free, overall, and disease-specific survival were 90.5%, 78.5%, 92.6%, and 96.2%, respectively. Two patients (6.7%) had grade 3+ acute radiation-related complications (all grade 3). Grade 3+ post-operative morbidity was noted in 2 (6.7%) patients. CONCLUSIONS: Neoadjuvant radiotherapy followed by extra-fascial hysterectomy offers good locoregional control with low treatment-related morbidity in patients with endometrial cancer with overt cervical involvement.

Carboplatin sensitivity in epithelial ovarian cancer cell lines: The impact of model systems.

Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy in North America, underscoring the need for the development of new therapeutic strategies for the management of this disease. Although many drugs are pre-clinically tested every year, only a few are selected to be evaluated in clinical trials, and only a small number of these are successfully incorporated into standard care. Inaccuracies with the initial in vitro drug testing may be responsible for some of these failures. Drug testing is often performed using 2D monolayer cultures or 3D spheroid models. Here, we investigate the impact that these different in vitro models have on the carboplatin response of four EOC cell lines, and in particular how different 3D models (polydimethylsiloxane-based microfluidic chips and ultra low attachment plates) influence drug sensitivity within the same cell line. Our results show that carboplatin responses were observed in both the 3D spheroid models tested using apoptosis/cell death markers by flow cytometry. Contrary to previously reported observations, these were not associated with a significant decrease in spheroid size. For the majority of the EOC cell lines (3 out of 4) a similar carboplatin response was observed when comparing both spheroid methods. Interestingly, two cell lines classified as resistant to carboplatin in 2D cultures became sensitive in the 3D models, and one sensitive cell line in 2D culture showed resistance in 3D spheroids. Our results highlight the challenges of choosing the appropriate pre-clinical models for drug testing.