Objective

To determine whether chemotherapy-induced neutropenia (C-iN) is associated with improved survival in a population of primary advanced ovarian cancer and peritoneal carcinoma patients treated with a carboplatin plus paclitaxel chemotherapy backbone.

Methods

A post-hoc exploratory analysis of Gynecologic Oncology Group (GOG) protocol 182 was performed. Landmark analysis was conducted on all patients with progression-free survival >18weeks from the time of study entry. Neutropenia was defined as the absolute neutrophil count <1000mm(3). The occurrence of C-iN was analyzed according to demographic, clinicopathologic, and therapeutic intent, including age, body surface area, and treatment arm. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. The Cox proportional hazards model was used to evaluate independent prognostic factors and to estimate their effects on PFS and OS.

Results

Neutropenic data was available for 3447 patients. Neutropenic (n=3196) and non-neutropenic groups (n=251) were similar in demographic and clinicopathologic characteristics. Neutropenic patients experienced significantly improved survival compared to non-neutropenic patients with the adjusted hazard ratio (HR) for death being 0.86 (95% confidence interval 0.74-0.99; p=0.041). There was no survival benefit associated with any of the treatment arms among patients with C-iN.

Conclusion

These data suggest that C-iN may represent a clinical biomarker associated with a survival advantage for patients with untreated advanced ovarian cancer. The absence of C-iN may indicate under-dosing and ultimately attenuated anti-neoplastic effect in vulnerable populations.

Objective

To examine clinicopathologic variables associated with survival among women with low-grade (grade 1) serous ovarian carcinoma enrolled in a phase III study.

Methods

This was an ancillary data analysis of Gynecologic Oncology Group protocol 182, a phase III study of women with stage III-IV epithelial ovarian carcinoma treated with carboplatin and paclitaxel compared with triplet or sequential doublet regimens. Women with grade 1 serous carcinoma (a surrogate for low-grade serous disease) were included in the analysis.

Results

Among the 3,686 enrolled participants, 189 had grade 1 disease. The median age was 56.5 years and 87.3% had stage III disease. The median follow-up time was 47.1 months. Stratification according to residual disease after primary surgery was microscopic residual in 24.9%, 0.1-1.0 cm of residual in 51.3%, and more than 1.0 cm of residual in 23.8%. On multivariate analysis, only residual disease status (P=.006) was significantly associated with survival. Patients with microscopic residual had a significantly longer median progression-free (33.2 months) and overall survival (96.9 months) compared with those with residual 0.1-1.0 cm (14.7 months and 44.5 months, respectively) and more than 1.0 cm of residual disease (14.1 months and 42.0 months, respectively; progression-free and overall survival, P<.001). After adjustment for other variables, patients with low-grade serous carcinoma with measurable residual disease had a similar adjusted hazard ratio for death (2.12; P=.002) as their high-grade serous carcinoma counterparts with measurable disease (2.31; P<.001).

Conclusions

Surgical cytoreduction to microscopic residual was associated with improved progression-free and overall survival in women with advanced-stage low-grade serous ovarian carcinoma.

Clinical trial registration

ClinicalTrials.gov, www.clinicaltrials.gov, NCT00011986.

Level of evidence

II.

Objectives

To determine the association between timing of adjuvant therapy initiation and survival of early stage ovarian cancer patients.

Methods

Data were obtained from women who underwent primary surgical staging followed by adjuvant therapy from two Gynecologic Oncology Group trials (protocols # 95 and 157). Kaplan-Meier estimates and Cox proportional hazards model adjusted for covariates were used for analyses.

Results

Of 497 stage I-II epithelial ovarian cancer patients, the median time between surgery and initiation of adjuvant therapy was 23days (25th-75th%: 12-33days). The time interval from surgery to initiation of adjuvant therapy was categorized into three groups: <2weeks, 2-4weeks, and >4weeks. The corresponding 5-year recurrence-free survival rates were 72.8%, 73.9%, and 79.5% (p=0.62). The 5-year overall survival rates were 79.4%, 81.9%, and 82.8%, respectively (p=0.51; p=0.33 - global test). As compared to <2weeks, the hazard ratio for recurrence-free survival was 0.90 (95%CI=0.59-1.37) for 2-4weeks and 0.72 (95%CI=0.46-1.13) for >4weeks. Age, stage, grade, and cytology were important prognostic factors.

Conclusions

Timing of adjuvant therapy initiation was not associated with survival in early stage epithelial ovarian cancer patients.

Objectives

The study objective was to determine the prognostic significance of serum CA-125 levels in patients with grade 1 serous ovarian carcinoma (SOC) enrolled in a Phase III study.

Methods

An ancillary analysis of a phase III study of women with advanced epithelial ovarian cancer treated with carboplatin/paclitaxel versus triplet or sequential doublet regimens. Grade 1 SOC was used as a surrogate for low-grade serous carcinoma.

Results

Among 3686 enrolled patients, 184 (5%) had grade 1 disease and CA-125 levels available. For those with grade 1 SOC, the median patient age was 56.5; 87.3% had Stage III disease. Median follow-up was 102 months and there was no difference in pre-chemotherapy CA-125 by treatment arm (P=0.91). Median pretreatment CA-125 for those with grade 1 SOC was lower (119.1) than for patients with grade 2-3 SOC (246.7; P<0.001). In those with grade 1, pretreatment CA-125 was not prognostic of outcome. However, patients with CA-125 levels that normalized after cycle 1, 2 or 3 were 60-64% less likely to experience disease progression as compared to those who never normalized or normalized after 4 cycles (P ≤ 0.024). Normalization of CA-125 levels before the second cycle was negatively associated with death, with a HR of 0.45 (P=0.025).

Conclusions

Pretreatment CA-125 level was significantly lower in women with grade 1 SOC compared to those with high-grade SOC. While pretreatment CA-125 was not associated with survival, serial CA-125 measurements during chemotherapy treatment were prognostic, with normalization before the second chemotherapy cycle associated with a decreased risk of death.

BACKGROUND:Based primarily on studies concerning early-stage tumours (treated surgically), and locally advanced disease (treated with chemoradiation), the prognosis for women with adenocarcinoma (AC) or adenosquamous (AS) carcinoma has been reported to be poorer than those with squamous cell carcinoma (SCCA) of the cervix. It is unclear whether differences in prognosis also persist in the setting of recurrent or metastatic disease treated using chemotherapy doublets with or without bevacizumab. METHODS:Cases were pooled from three Gynaecologic Oncology Group randomised phase III trials of chemotherapy doublets. Pearson's test was used to evaluate response rate (RR) of AC/AS vs SCCA, Kaplan-Meier method to estimate progression-free survival (PFS) and overall survival (OS), and Cox proportional hazards model to estimate the impact of histology on PFS and OS. RESULTS:Of 781 evaluable patients, 77% (N=599) had SCCA and 23% (N=182) AC/AS. There were no significant differences in RRs between histologic subgroups. The adjusted hazard ratio (HR) for death for SCCA vs AC/AS was 1.13 (95% CI 0.93, 1.38 P=0.23). When comparing SC/AS (N=661, 85%) to AC alone (N=120, 15%), the adjusted HR for death was 1.23 (95% CI 0.97, 1.57, P=0.09). CONCLUSIONS:AC/AS and SCCA have similar survival in recurrent or metastatic cervical carcinoma when treated with chemotherapy doublets.

OBJECTIVE: Microscopic residual disease following complete cytoreduction (R0) is associated with a significant survival benefit for patients with advanced epithelial ovarian cancer (EOC). Our objective was to develop a prediction model for R0 to support surgeons in their clinical care decisions. METHODS: Demographic, pathologic, surgical, and CA125 data were collected from GOG 182 records. Patients enrolled prior to September 1, 2003 were used for the training model while those enrolled after constituted the validation data set. Univariate analysis was performed to identify significant predictors of R0 and these variables were subsequently analyzed using multivariable regression. The regression model was reduced using backward selection and predictive accuracy was quantified using area under the receiver operating characteristic area under the curve (AUC) in both the training and the validation data sets. RESULTS: Of the 3882 patients enrolled in GOG 182, 1480 had complete clinical data available for the analysis. The training data set consisted of 1007 patients (234 with R0) while the validation set was comprised of 473 patients (122 with R0). The reduced multivariable regression model demonstrated several variables predictive of R0 at cytoreduction: Disease Score (DS) (p<0.001), stage (p=0.009), CA125 (p<0.001), ascites (p<0.001), and stage-age interaction (p=0.01). Applying the prediction model to the validation data resulted in an AUC of 0.73 (0.67 to 0.78, 95% CI). Inclusion of DS enhanced the model performance to an AUC of 0.83 (0.79 to 0.88, 95% CI). CONCLUSIONS: We developed and validated a prediction model for R0 that offers improved performance over previously reported models for prediction of residual disease. The performance of the prediction model suggests additional factors (i.e. imaging, molecular profiling, etc.) should be explored in the future for a more clinically actionable tool.

Objectives

To determine the relationship of the time from surgery to intraperitoneal (IP) chemotherapy (TSIC) initiation with survival of patients with stage III epithelial ovarian cancer (EOC) patients using ancillary data from cooperative group clinical trials.

Methods

Data from 420 patients with stage III EOC treated with IP chemotherapy under GOG-0114 and 172 were reviewed. The Cox proportional hazards model was used to evaluate independent prognostic factors and estimate their covariate-adjusted effects on PFS and OS.

Results

The median TSIC was 62.5days (interquartile range 28-83). The median TSIC was longer for patients in GOG-0114 vs those in GOG-172 (83 vs 26days, p<0.001). TSIC was significantly associated (p=0.049) with PFS: each 10% increase in TSIC (days) decreases the risk of progression by 3%. TSIC was not significantly associated with OS in this model. In a linear regression model, gross residual disease was significantly associated with shorter TSIC (R² -0.141, 95%CI -0.217, -0.064, p<0.001). When only data from GOG-172 were considered, no statistical significant association was found between TSIC and PFS or OS.

Conclusions

In this ancillary data study, TSIC was not associated with improved OS in patients with stage III epithelial ovarian cancer. TSIC was significantly associated with PFS for the entire cohort, suggesting increase in PFS with longer TSIC. However, this was not found when only data from GOG 172 or GOG 114 were analyzed separately. Hence, the relationship between IP chemotherapy initiation and time from surgery needs to be studied further.

Objective

To analyze clinical prognostic factors for survival after recurrence of high-grade, advanced-stage ovarian-peritoneal-tubal carcinoma and to develop a nomogram to predict individual survival after recurrence.

Methods

We retrospectively analyzed patients treated in multicenter Gynecologic Oncology Group protocols for stage III and IV ovarian-peritoneal-tubal carcinoma who underwent primary debulking surgery, received chemotherapy with paclitaxel and a platinum compound, and subsequently developed recurrence. Prognostic factors affecting survival were identified and used to develop a nomogram, which was both internally and externally validated.

Results

There were 4,739 patients included in this analysis, of whom, 84% had stage III and 16% had stage IV ovarian carcinoma. At a median follow-up of 88.8 months (95% CI 86.2-92.0 months), the vast majority of patients (89.4%) had died. The median survival after recurrence was 21.4 months (95% CI 20.5-21.9 months). Time to recurrence after initial chemotherapy, clear cell or mucinous histology, performance status, stage IV disease, and age were significant variables used to develop a nomogram for survival after recurrence, which had a concordance index of 0.67. The time to recurrence alone accounted for 85% of the prognostic information. Similar results were found for patients who underwent second look laparotomy and had a complete pathologic response or received intraperitoneal chemotherapy.

Conclusion

For individuals with advanced-stage ovarian carcinoma who recur after standard first-line therapy, estimated survivals after recurrence are closely related to the time to recurrence after chemotherapy and prognostic variables can be used to predict subsequent survival.

Clinical trial registration

ClinialTrials.gov, NCT00002568, NCT00837993, NCT00002717, NCT01074398, and NCT00011986.

Objective

Patients with advanced epithelial ovarian cancer (EOC) alive without progression at a landmark time-point of 10 years from diagnosis are likely cured. We report the proportion of patients with Stage III EOC who were long-term disease-free survivors (LTDFS≥10 years) following either intraperitoneal (IP) or intravenous (IV) chemotherapy as well as the predictors of LTDFS.

Methods

Data from 3 mature NRG/GOG trials (104, 114, 172) were analyzed and included demographics, clinicopathologic details, route of administration, and survival outcomes of patients living ≥10 years assessed according to the Kaplan-Meier method. Cox regression survival analysis was performed to evaluate independent prognostic predictors of LTDFS.

Results

Of 1174 patients randomized, 10-year overall survival (OS) was 26% (95% CI, 23-28%) and LTDFS ≥10 years was 18% (95% CI, 16-20%). Patients with LTDFS ≥10 years had a median age of 54.6 years (p < 0.001). Younger age (p < 0.001) was the only independent prognostic factor for LTDFS≥10 years on multivariate Cox analysis.

Conclusions

Approximately 18% of patients were LTDFS ≥10 years. They form the tail end of the survival curve and are likely cured. Our results provide a comparative benchmark to evaluate the impact of PARP inhibitors in 1st line maintenance trials on survival outcomes.

OBJECTIVE:Microscopic residual disease following complete cytoreduction (R0) is associated with a significant survival benefit for patients with advanced epithelial ovarian cancer (EOC). Our objective was to develop a prediction model for R0 to support surgeons in their clinical care decisions. METHODS:Demographic, pathologic, surgical, and CA125 data were collected from GOG 182 records. Patients enrolled prior to September 1, 2003 were used for the training model while those enrolled after constituted the validation data set. Univariate analysis was performed to identify significant predictors of R0 and these variables were subsequently analyzed using multivariable regression. The regression model was reduced using backward selection and predictive accuracy was quantified using area under the receiver operating characteristic area under the curve (AUC) in both the training and the validation data sets. RESULTS:Of the 3882 patients enrolled in GOG 182, 1480 had complete clinical data available for the analysis. The training data set consisted of 1007 patients (234 with R0) while the validation set was comprised of 473 patients (122 with R0). The reduced multivariable regression model demonstrated several variables predictive of R0 at cytoreduction: Disease Score (DS) (p<0.001), stage (p=0.009), CA125 (p<0.001), ascites (p<0.001), and stage-age interaction (p=0.01). Applying the prediction model to the validation data resulted in an AUC of 0.73 (0.67 to 0.78, 95% CI). Inclusion of DS enhanced the model performance to an AUC of 0.83 (0.79 to 0.88, 95% CI). CONCLUSIONS:We developed and validated a prediction model for R0 that offers improved performance over previously reported models for prediction of residual disease. The performance of the prediction model suggests additional factors (i.e. imaging, molecular profiling, etc.) should be explored in the future for a more clinically actionable tool.