The Prognostic Role of the Number of Involved Structures in Thymic Epithelial Tumors: Results from the ESTS Database.

BACKGROUND: The role of the number of involved structures (NIS) in thymic epithelial tumors (TETs) has been investigated for inclusion in future staging systems, but large cohort results still are missing. This study aimed to analyze the prognostic role of NIS for patients included in the European Society of Thoracic Surgeons (ESTS) thymic database who underwent surgical resection. METHODS: Clinical and pathologic data of patients from the ESTS thymic database who underwent surgery for TET from January 2000 to July 2019 with infiltration of surrounding structures were reviewed and analyzed. Patients' clinical data, tumor characteristics, and NIS were collected and correlated with CSS using Kaplan-Meier curves. The log-rank test was used to assess differences between subgroups. A multivariable model was built using logistic regression analysis. RESULTS: The final analysis was performed on 303 patients. Histology showed thymoma for 216 patients (71.3%) and NET/thymic carcinoma [TC]) for 87 patients (28.7%). The most frequently infiltrated structures were the pleura (198 cases, 65.3%) and the pericardium in (185 cases, 61.1%), whereas lung was involved in 96 cases (31.7%), great vessels in 74 cases (24.4%), and the phrenic nerve in 31 cases (10.2%). Multiple structures (range, 2-7) were involved in 183 cases (60.4%). Recurrence resulted in the death of 46 patients. The CSS mortality rate was 89% at 5 years and 82% at 10 years. In the univariable analysis, the favorable prognostic factors were neoadjuvant therapy, Masaoka stage 3, absence of metastases, absence of myasthenia gravis, complete resection, thymoma histology, and no more than two NIS. Patients with more than two NIS presented with a significantly worse CSS than patients with no more than two NIS (CSS 5- and 10-year rates: 9.5% and 83.5% vs 93.2% and 91.2%, respectively; p = 0.04). The negative independent prognostic factors confirmed by the multivariable analysis were incomplete resection (hazard ratio [HR] 2.543; 95% confidence interval [CI] 1.010-6.407; p = 0.048) and more than two NIS (HR 1.395; 95% CI 1.021-1.905; p = 0.036). CONCLUSIONS: The study showed that more than two involved structures are a negative independent prognostic factor in infiltrative thymic epithelial tumors that could be used for prognostic stratification.

Alcohol consumption, cigarette smoking and cancer of unknown primary risk: Results from the Netherlands Cohort Study.

Cancer of unknown primary (CUP) is a metastasised malignancy with no identifiable primary tumour origin. Despite the frequent occurrence and bleak prognosis of CUP, research into its aetiology is scarce. Our study investigates alcohol consumption, tobacco smoking and CUP risk. We used data from the Netherlands Cohort Study, a cohort that includes 120 852 participants aged 55 to 69 years, who completed a self-administered questionnaire on cancer risk factors at baseline. Cancer follow-up was established through record linkage to the Netherlands Cancer Registry and Dutch Pathology Registry. After 20.3 years of follow-up, 963 CUP cases and 4288 subcohort members were available for case-cohort analyses. Multivariable-adjusted hazard ratios (HRs) were calculated using proportional hazard models. In general, CUP risk increased with higher levels of alcohol intake (Ptrend = .02). The association was more pronounced in participants who drank ≥30 g of ethanol per day (HR: 1.57, 95% confidence interval [CI]: 1.20-2.05) compared to abstainers. Current smokers were at an increased CUP risk (HR: 1.59, 95% CI: 1.29-1.97) compared to never smokers. We observed that the more the cigarettes or the longer a participant smoked, the higher the CUP risk was (Ptrend = .003 and Ptrend = .02, respectively). Interaction on additive scale was found for participants with the highest exposure categories of alcohol consumption and cigarette smoking frequency and CUP risk. Our findings demonstrate that alcohol consumption and cigarette smoking are associated with increased CUP risk. Lifestyle recommendations for cancer prevention regarding not drinking alcohol and avoiding exposure to smoking are therefore also valid for CUP.

Hyperthermic Intraperitoneal Chemotherapy in Ovarian Cancer.

BACKGROUND: Treatment of newly diagnosed advanced-stage ovarian cancer typically involves cytoreductive surgery and systemic chemotherapy. We conducted a trial to investigate whether the addition of hyperthermic intraperitoneal chemotherapy (HIPEC) to interval cytoreductive surgery would improve outcomes among patients who were receiving neoadjuvant chemotherapy for stage III epithelial ovarian cancer. METHODS: In a multicenter, open-label, phase 3 trial, we randomly assigned 245 patients who had at least stable disease after three cycles of carboplatin (area under the curve of 5 to 6 mg per milliliter per minute) and paclitaxel (175 mg per square meter of body-surface area) to undergo interval cytoreductive surgery either with or without administration of HIPEC with cisplatin (100 mg per square meter). Randomization was performed at the time of surgery in cases in which surgery that would result in no visible disease (complete cytoreduction) or surgery after which one or more residual tumors measuring 10 mm or less in diameter remain (optimal cytoreduction) was deemed to be feasible. Three additional cycles of carboplatin and paclitaxel were administered postoperatively. The primary end point was recurrence-free survival. Overall survival and the side-effect profile were key secondary end points. RESULTS: In the intention-to-treat analysis, events of disease recurrence or death occurred in 110 of the 123 patients (89%) who underwent cytoreductive surgery without HIPEC (surgery group) and in 99 of the 122 patients (81%) who underwent cytoreductive surgery with HIPEC (surgery-plus-HIPEC group) (hazard ratio for disease recurrence or death, 0.66; 95% confidence interval [CI], 0.50 to 0.87; P=0.003). The median recurrence-free survival was 10.7 months in the surgery group and 14.2 months in the surgery-plus-HIPEC group. At a median follow-up of 4.7 years, 76 patients (62%) in the surgery group and 61 patients (50%) in the surgery-plus-HIPEC group had died (hazard ratio, 0.67; 95% CI, 0.48 to 0.94; P=0.02). The median overall survival was 33.9 months in the surgery group and 45.7 months in the surgery-plus-HIPEC group. The percentage of patients who had adverse events of grade 3 or 4 was similar in the two groups (25% in the surgery group and 27% in the surgery-plus-HIPEC group, P=0.76). CONCLUSIONS: Among patients with stage III epithelial ovarian cancer, the addition of HIPEC to interval cytoreductive surgery resulted in longer recurrence-free survival and overall survival than surgery alone and did not result in higher rates of side effects. (Funded by the Dutch Cancer Society; ClinicalTrials.gov number, NCT00426257 ; EudraCT number, 2006-003466-34 .).

Nomogram predict relapse-free survival of patients with thymic epithelial tumors after surgery.

BACKGROUND: Hematological indicators and clinical characteristics play an important role in the evaluation of the progression and prognosis of thymic epithelial tumors. Therefore, we aimed to combine these potential indicators to establish a prognostic nomogram to determine the relapse-free survival (RFS) of patients with thymic epithelial tumors undergoing thymectomy. METHODS: This retrospective study was conducted on 156 patients who underwent thymectomy between May 2004 and August 2015. Cox regression analysis were performed to determine the potential indicators related to prognosis and combine these indicators to create a nomogram for visual prediction. The prognostic predictive ability of the nomogram was evaluated using the consistency index (C-index), receiver operating characteristic (ROC) curve, and risk stratification. Decision curve analysis was used to evaluate the net benefits of the model. RESULTS: Preoperative albumin levels, neutrophil-to-lymphocyte ratio (NLR), T stage, and WHO histologic types were included in the nomogram. In the training cohort, the nomogram showed well prognostic ability (C index: 0.902). Calibration curves for the relapse-free survival (RFS) were in good agreement with the standard lines in training and validation cohorts. CONCLUSIONS: Combining clinical and hematologic factors, the nomogram performed well in predicting the prognosis and the relapse-free survival of this patient population. And it has potential to identify high-risk patients at an early stage. This is a relatively novel approach for the prediction of RFS in this patient population.

Different View on Tumor Size Dilemma in Tumor-Node-Metastasis Staging System for Thymoma.

BACKGROUND: Although tumor size is included in the definition of T descriptor in the tumor-node-metastasis (TNM) classification of many solid tumors, it is not considered for thymomas. This study aimed to assess the relationship of tumor diameters (the largest tumor diameter [LTD] and the mean tumor diameter [MTD]) with survival in thymoma patients undergoing surgical resection in a single center. METHODS: The study included 127 thymoma patients (age, 49.2 ± 15.2 years; 65 males), who were evaluated based on pathological tumor sizes according to the LTD and MTD ([largest diameter + shortest diameter] / 2) and divided into three subgroups for each parameter as: patients with an LTD of ≤5 cm, 5.1 to 10 cm, and >10 cm and patients with an MTD of ≤5, 5.1 to 10, and >10 cm. RESULTS: In thymoma patients, survival significantly differed according to the presence of myasthenia gravis (p = 0.018), resection status (R0 or R1; p = 0.001), T status (p = 0.015), and the Masaoka-Koga stage (p = 0.003). In the LTD subgroups, the overall survival of those with R0 resection was lower in those with an LTD of 5.1 to 10 cm than in those with an LTD of ≤5 cm (p = 0.051) and significantly lower in those with an MTD of 5.1 to 10 cm than in those with an MTD of ≤5 cm (p = 0.027). In the MTD subgroups, survival decreased as the tumor size increased. CONCLUSION: Both smaller tumor size and complete resection are associated with better survival in thymoma patients. Therefore, the largest or the mean tumor size might be considered as a criterion in the TNM staging for thymoma.

Preoperative Risk Score for Predicting Incomplete Cytoreduction: A 12-Institution Study from the US HIPEC Collaborative.

BACKGROUND: For patients with peritoneal carcinomatosis undergoing cytoreductive surgery with heated intraperitoneal chemotherapy (CRS/HIPEC), incomplete cytoreduction (CCR2/3) confers morbidity without survival benefit. The aim of this study is to identify preoperative factors which predict CCR2/3. METHODS: All patients who underwent curative-intent CRS/HIPEC of low/high-grade appendiceal, colorectal, or peritoneal mesothelioma cancers in the 12-institution US HIPEC Collaborative from 2000 to 2017 were included (n = 2027). The primary aim is to create an incomplete-cytoreduction risk score (ICRS) to predict CCR2/3 CRS utilizing preoperative data. ICRS was created from a randomly selected cohort of 50% of patients (derivation cohort) and verified on the remaining patients (validation cohort). RESULTS: Within our derivation cohort (n = 998), histology was low-grade appendiceal neoplasms in 30%, high-grade appendiceal tumor in 41%, colorectal tumor in 22%, and peritoneal mesothelioma in 8%. CCR0/1 was achieved in 816 patients and CCR 2/3 in 116 patients. On multivariable analysis, preoperative factors associated with incomplete cytoreduction were male gender [odds ratio (OR) 3.4, p = 0.007], presence of ascites (OR 2.8, p = 0.028), cancer antigen (CA)-125 ≥ 40 U/mL (OR 3.4, p = 0.012), and carcinoembryonic antigen (CEA) ≥ 4.2 ng/mL (OR 3.2, p = 0.029). Each preoperative factor was assigned a score of 0 or 1 to form an ICRS from 0 to 4. Scores were grouped as zero (0), low (1-2), or high (3-4). Incidence of CCR2/3 progressively increased by risk group from 1.6% in zero to 13% in low and 39% in high. When ICRS was applied to the validation cohort (n = 1029), this relationship was maintained. CONCLUSION: The incomplete cytoreduction risk score incorporates preoperative factors to accurately stratify the risk of CCR2/3 resection in CRS/HIPEC. This score should not be used in isolation, however, to exclude patients from surgery.

Thymic Epithelial Tumors: Prognostic Significance and Relationship between Histology and the New TNM Staging System.

BACKGROUND: This study aims to describe the relationship between the new tumor nodes metastasis (TNM) staging and World Health Organization (WHO) classification and to identify how these two variables relate to each other and whether they possess a prognostic value in predicting survival and recurrence of disease. METHODS: Medical records of 54 patients who underwent surgery for thymic epithelial tumors between 1996 and 2015 were reviewed.The histologic type of neoplasm was classified according to the criteria of WHO and staging was evaluated using the new TNM classification system. RESULTS: A significant correlation between the TNM stages and the histological classification was found (p < 0.001). Complete resection is related to both TNM stage and histological grading (p < 0.001). Evaluation of the 5- and 10-year survival curves shows how these are significantly correlated only at the stage (p = 0.03 and = 0.04, respectively). The risk of death at 5 and 10 years for stages III to IV is six and three times higher than in stages I to II, respectively. Regarding the disease-free survival, there is significant correlation with both staging and histology (p = 0.001 and = 0.02, respectively). CONCLUSIONS: There is a significant correlation between the new TNM staging and the histological grade WHO. The ability to implement a complete resection, the overall and disease-free survival is closely related to the thymoma stage. Furthermore, both histotype and stage correlate with disease-free survival. In fact, the least aggressive stages, both WHO and TNM, have a free time out of disease superior to advanced stages.

Treatments and outcomes of spinal metastasis from thymic epithelial tumors: 10-year experience with 15 patients in a single center.

PURPOSE: Although thymic epithelial tumors (TETs) are rare, their spinal metastases are even rarer, and they have only been described in a few case reports. The aim of the present study is to discuss the possible treatments and outcomes of patients with spinal metastasis from TETs. METHODS: Included in this retrospective study were 15 patients with metastasis of TETs who received either radical or debulking surgery plus radiochemotherapy as adjuvant therapy in our center between 2007 and 2017. Possible prognostic factors for progression-free survival (PFS) and overall survival (OS) were analyzed by log-rank analysis. RESULTS: Our series comprised seven men and eight women, with a median age of 52 years. The period from the primary diagnosis to spinal metastasis varied from 0 to 16 months. The metastatic lesions were mainly located in the thoracic spine (n = 11; 73.3%), followed by the cervical and lumbar spine (n = 2; 13.3%, respectively). The median follow-up period was 28 months. Local tumor progression was detected in four patients (26.7%), and seven patients (46.7%) died of the disease during the follow-up period. Log-rank analysis indicated that radical resection was associated with longer PFS, whereas PFS, response to systemic chemotherapy and WHO B1-B2 were favorable factors of OS for patients with spinal metastatic TETs. CONCLUSIONS: Radical surgery is associated with longer PFS, while PFS is associated with better OS. Postoperative radiotherapy seems to be a useful supplementary treatment after debulking surgery, and patients who respond to postoperative chemotherapy were demonstrated with greater OS. WHO type B3-C seemed to be an adverse factor for spinal metastasis from TETs. These slides can be retrieved under Electronic Supplementary Material.

Menstrual pain and risk of epithelial ovarian cancer: Results from the Ovarian Cancer Association Consortium.

Menstrual pain, a common gynecological condition, has been associated with increased risk of ovarian cancer in some, but not all studies. Furthermore, potential variations in the association between menstrual pain and ovarian cancer by histologic subtype have not been adequately evaluated due to lack of power. We assessed menstrual pain using either direct questions about having experienced menstrual pain, or indirect questions about menstrual pain as indication for use of hormones or medications. We used multivariate logistic regression to calculate the odds ratio (OR) for the association between severe menstrual pain and ovarian cancer, adjusting for potential confounders and multinomial logistic regression to calculate ORs for specific histologic subtypes. We observed no association between ovarian cancer and menstrual pain assessed by indirect questions. Among studies using direct question, severe pain was associated with a small but significant increase in overall risk of ovarian cancer (OR = 1.07, 95% CI: 1.01-1.13), after adjusting for endometriosis and other potential confounders. The association appeared to be more relevant for clear cell (OR = 1.48, 95% CI: 1.10-1.99) and serous borderline (OR = 1.31, 95% CI: 1.05-1.63) subtypes. In this large international pooled analysis of case-control studies, we observed a small increase in risk of ovarian cancer for women reporting severe menstrual pain. While we observed an increased ovarian cancer risk with severe menstrual pain, the possibility of recall bias and undiagnosed endometriosis cannot be excluded. Future validation in prospective studies with detailed information on endometriosis is needed.

Neutrophil-to-Lymphocyte Ratio and Platelet Count Predict Long-Term Outcome of Stage IIIC Epithelial Ovarian Cancer.

BACKGROUND/AIMS: Prognostic value of neutrophil-to-lymphocyte ratio (NLR) and platelet count (PC) in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IIIC epithelial ovarian cancer (EOC) is controversial. METHODS: A total of 370 stage IIIC EOC patients who underwent primary debulking surgery (PDS) at the Department of Gynecology of Liaoning Cancer Hospital and Institute between January 2003 and August 2016 and had full information were involved. Patients were stratified into a high NLR (H-NLR) group versus a low NLR (L-NLR) group and a high PC (H-PC) group versus a low PC (L-PC) group according to cutoff values calculated through receiver operating characteristic (ROC) curves. Prognostic values of NLR and PC for progression-free survival (PFS) and overall survival (OS) were assessed. RESULTS: We identified the optimal cut-off value of 3.08 for NLR and 289.5*109/L for PC. The median PFS and OS of the patients with H-NLR were shorter than L-NLR (PFS: 16.9 months vs. 19.5 months, hazard ratio [HR] 1.3, 95% confidence interval [CI] 1.03-1.63, P = 0.022; OS: 33.5 months vs. 46.8 months, HR 1.3, 95% CI 1.01-1.66, P = 0.001). The median PFS and OS of the patients with H-PC were shorter than L-PC (PFS: 15.3 months vs. 21.6 months, HR 1.3, 95% CI 1.04-1.63, P < 0.001; OS: 37.3 months vs. 46.1 months, HR 1.14, 95% CI 0.89-1.46, P = 0.306). CONCLUSIONS: H-NLR and H-PC could predict poor long-term outcome of patients with FIGO stage III EOC.

MiR-221-3p targets ARF4 and inhibits the proliferation and migration of epithelial ovarian cancer cells.

Epithelial ovarian cancer (EOC) is the most lethal gynecologic cancer. Although molecular diagnostic tools and targeted therapies have been developed over the past few decades, the survival rate is still rather low. Numerous researches suggest that some microRNAs (miRNAs) are key regulators of tumor progression. Among those miRNAs that has attracted much attention for their multiple roles in human cancers, the function of miR-221-3p in EOC has not been elucidated. Herein, we examined the expression of miR-221-3p in EOC patients and cell lines. Our data revealed that higher expression of miR-221-3p was linked to better overall survival in EOC patients. In-vitro experiments indicated that miR-221-3p inhibited EOC cell proliferation and migration. By performing subsequent systematic molecular biological and bioinformatic analyses, we found ADP-ribosylation factor (ARF) 4 is one of the putative target genes, the direct binding relationship was further confirmed by dual-luciferase reporter assay. Finally, a distinct gene expression between miR-221-3p and ARF4 in EOC group and normal group was identified, and the negative correlation between their expression levels in EOC specimens was further confirmed. Taken together, our research uncovered the tumor suppressive role of miR-221-3p in EOC and directly targeted ARF4, suggesting that miR-221-3p might be a novel potential candidate for clinical prognosis and therapeutics of EOC.

Upregulated N-cadherin expression is associated with poor prognosis in epithelial-derived solid tumours: A meta-analysis.

BACKGROUND: N-cadherin is an important molecular in epithelial-mesenchymal transition (EMT) and has been reported to be associated with aggressive behaviours of tumours. However, prognostic value of N-cadherin in solid malignancies remains controversially. MATERIALS AND METHODS: The Pubmed/MELINE and EMBASE databases were used for a comprehensive literature searching. Pooled risk ratio (RR) and hazard ratio (HR) with their corresponding 95% confidence intervals (CIs) were employed to quantify the prognostic role. RESULTS: Involving 36 studies with 5705 patients were performed to investigate relationships between N-cadherin upregulation and clinicopathological features, survival. Results suggested upregulated N-cadherin was associated with lymph node metastasis (RR = 1.16, 95% CI [1.00, 1.35]), higher histological grade (RR = 1.36, 95%CI [1.14, 1.62]), angiolymphatic invasion (RR = 1.19, 95% CI [1.06, 1.34]) and advanced clinical stage (RR = 1.32, 95% CI [1.06, 1.64]), while upregulated N-cadherin was apt to be associated with distant metastasis (RR = 1.43, 95% CI [0.99, 2.05]). Moreover, N-cadherin was correlated with poor prognosis of 3-year survival (HR = 1.78, 95% CI [1.51, 2.10]), 5-year survival (HR = 1.57, 95% CI [1.17, 2.10]) and overall survival (OS) (HR = 1.32, 95% CI [1.20, 1.44]). Subgroup analyses according to cancer types were also conducted for applying these conclusions to some tumours more properly. No publication bias was found except subgroup analysis of distant metastasis (P = .652 for Begg's test and 0.023 for Egger's test). CONCLUSIONS: Taken together, upregulation of N-cadherin is associated with more aggressive behaviours of epithelial-derived solid malignancies and can be regarded as a predictor of poor survival.

Non-aspirin NSAID use and ovarian cancer mortality.

OBJECTIVE: Preclinical studies suggest that non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs) may improve survival of ovarian cancer. We examined the association between non-aspirin NSAID use and ovarian cancer mortality. METHODS: All women in Denmark with a first diagnosis of epithelial ovarian cancer between 2000 and 2012 were identified. We obtained information on drug use, mortality outcomes, and potential confounding factors from nationwide registries. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between postdiagnosis non-aspirin NSAID use (≥1 prescription) and ovarian cancer-specific or other-cause mortality compared with non-use (no prescriptions). The influence of competing risks was evaluated using the sub-distribution hazards model proposed by Fine and Gray. RESULTS: Among 4117 patients, any postdiagnosis use of non-aspirin NSAIDs was not associated with either ovarian cancer (HR = 0.97, 95% CI = 0.87-1.08) or other-cause (HR = 0.99, 95% CI = 0.77-1.27) mortality, however, inverse associations for ovarian cancer mortality were observed with high cumulative (HR = 0.75, 95% CI = 0.60-0.94) or high-intensity (HR = 0.86, 95% CI = 0.72-1.03) postdiagnosis use of non-aspirin NSAIDs. The associations differed substantially with histological subtype of ovarian cancer, with only inverse associations observed for serous ovarian cancer (HR = 0.87, 95% CI = 0.77-0.99). Among a smaller number of patients with a non-serous tumor, postdiagnosis non-aspirin NSAID use was associated with increased ovarian cancer mortality. CONCLUSIONS: Any postdiagnosis use of non-aspirin NSAIDs did not influence ovarian cancer mortality overall, however, more intensive use was associated with improved survival of serous ovarian cancer.

Clinicopathologic characteristics associated with long-term survival in advanced epithelial ovarian cancer: an NRG Oncology/Gynecologic Oncology Group ancillary data study.

OBJECTIVE: To identify clinicopathologic factors associated with 10-year overall survival in epithelial ovarian cancer (EOC) and primary peritoneal cancer (PPC), and to develop a predictive model identifying long-term survivors. METHODS: Demographic, surgical, and clinicopathologic data were abstracted from GOG 182 records. The association between clinical variables and long-term survival (LTS) (>10years) was assessed using multivariable regression analysis. Bootstrap methods were used to develop predictive models from known prognostic clinical factors and predictive accuracy was quantified using optimism-adjusted area under the receiver operating characteristic curve (AUC). RESULTS: The analysis dataset included 3010 evaluable patients, of whom 195 survived greater than ten years. These patients were more likely to have better performance status, endometrioid histology, stage III (rather than stage IV) disease, absence of ascites, less extensive preoperative disease distribution, microscopic disease residual following cyoreduction (R0), and decreased complexity of surgery (p<0.01). Multivariable regression analysis revealed that lower CA-125 levels, absence of ascites, stage, and R0 were significant independent predictors of LTS. A predictive model created using these variables had an AUC=0.729, which outperformed any of the individual predictors. CONCLUSIONS: The absence of ascites, a low CA-125, stage, and R0 at the time of cytoreduction are factors associated with LTS when controlling for other confounders. An extensively annotated clinicopathologic prediction model for LTS fell short of clinical utility suggesting that prognostic molecular profiles are needed to better predict which patients are likely to be long-term survivors.

Predicting non-home discharge in epithelial ovarian cancer patients: External validation of a predictive model.

OBJECTIVE: To externally validate a model predicting non-home discharge in women undergoing primary cytoreductive surgery (CRS) for epithelial ovarian cancer (EOC). METHODS: Women undergoing primary CRS via laparotomy for EOC at three tertiary medical centers in an academic health system from January 2010 to December 2015 were included. Patients were excluded if they received neoadjuvant chemotherapy, had a non-epithelial malignancy, were not undergoing primary cytoreduction, or lacked documented model components. Non-home discharge included skilled nursing facility, acute rehabilitation facility, hospice, or inpatient death. The predicted probability of non-home discharge was calculated using age, pre-operative CA-125, American Society of Anesthesiologists (ASA) score and Eastern Cooperative Oncology Group (ECOG) performance status as described in the previously published predictive model. Model discrimination was calculated using a concordance index and calibration curves were plotted to characterize model performance across the cohort. RESULTS: A total of 204 admissions met inclusion criteria. The overall rate of non-home discharge was 12% (95% CI 8-18%). Mean age was 60.8 years (SD 11.0). Median length of stay (LOS) was significantly longer for patients with non-home discharge (8 vs. 5 days, P < 0.001). The predictive model had a concordance index of 0.86 (95% CI 0.76-0.93), which was similar to model performance in the original study (CI 0.88). The model provided accurate predictions across all probabilities (0 to 100%). CONCLUSIONS: Non-home discharge can be accurately predicted using preoperative clinical variables. Use of this validated non-home discharge predictive model may facilitate preoperative patient counseling, early discharge planning, and potentially decrease cost of care.

Who are the long-term survivors of high grade serous ovarian cancer?

Although the median survival for epithelial ovarian cancer (EOC) is <5years, approximately 15% of patients will survive for >10years. A better understanding of these exceptional responders could reveal opportunities to improve the dismal prognosis of most EOC patients. In this review, we examine the clinical and genomic features that have been associated with long-term survival, which is generally defined as survival of >7-10years after initial diagnosis. Clinical features influencing long-term survival have been best reported in large retrospective population-based studies. These studies find that long-term survival is associated with previously validated prognostic factors, including younger age at diagnosis, earlier clinicopathologic stage, lower grade, non-serous histology, absence of ascites, primary debulking surgery, and optimal cytoreduction at primary surgery. Duration of survival after a recurrence also contributes to long-term survival and depends both on recurrence location and response to subsequent chemotherapy or surgery. Germline BRCA mutations, although associated with short-term chemosensitivity, do not appear to improve long-term survival. Unfortunately, the relative lack of recurrent somatic mutations in EOC has made the identification of genomic signatures associated with long-term survival difficult. Although six independent gene expression analyses of long-term survivors (LTS) have identified signatures associated with prolonged survival, different gene sets are identified in each study. Genes differentially expressed in tumors of LTS are broadly involved in cell proliferation, tumor-stromal interactions, the cytoskeleton, metabolism of nutrients, and immune/stress response. We anticipate that consistent selection of control and LTS groups, combined with the use of emerging transcriptomic, epigenomic, and proteomic platforms, is likely to identify conserved features associated with long-term survival. Further elucidating the factors contributing to long-term survival has the potential to contribute to our understanding of the biology of ovarian cancer, with the goal of improving the survival of all EOC patients.

Treatment and outcome of elderly patients with advanced stage ovarian cancer: A nationwide analysis.

OBJECTIVE: To provide an overview of treatment strategies for elderly patients with advanced stage epithelial ovarian cancer (EOC) in daily practice, evaluate changes over time and relate this to surgical mortality and survival. METHODS: All women diagnosed with advanced stage (FIGO IIB and higher) EOC between 2002 and 2013 were selected from the Netherlands Cancer Registry (n=10,440) and stratified by age, stage and period of diagnosis. Elderly patients were defined as aged ≥70years. Time trends in treatment patterns and postoperative mortality were described by age category and tested using multivariable logistic regression. Relative survival was calculated. RESULTS: With advancing age, less patients received ((neo-)adjuvant) treatment. Over time, elderly patients were less often treated (OR 2002-2004 versus 2011-2013: 0.73; 95%CI:0.58-0.92). But if treated, more often standard treatment was provided and 30-day postoperative mortality decreased from 4.5% to 1.9% between 2005 and 2007 and 2011-2013. In all age categories treatment shifted from primary surgery towards primary chemotherapy, in patients aged 70-79years combination therapy increased (+5%) between 2002 and 2004 and 2011-2013. Five-year relative survival for patients diagnosed in 2008-2010 aged <70years was 34% compared to 18% for elderly patients. CONCLUSION: Large treatment differences exist between younger and elderly patients. Over time, selection of elderly patients eligible for curative surgical treatment may have improved. More elderly patients were treated with neoadjuvant chemotherapy while less patients underwent surgery and simultaneously postoperative mortality decreased. However, the large and increasing number of elderly patients without treatment and the large survival gap suggests opportunities for further improvements in the care for elderly EOC patients.

Modeling treatment outcomes for patients with advanced ovarian cancer: Projected benefits of a test to optimize treatment selection.

OBJECTIVE: For patients with advanced stage epithelial ovarian cancer (EOC), substantial emphasis has been placed on diagnostic tests that can discern which of two treatment options - primary cytoreductive surgery (PCS) or neoadjuvant chemotherapy followed by interval cytoreductive surgery (NACT+ICS) - optimizes patient-level outcomes. Our goal was to project potential life expectancy (LE) gains that could be achieved by use of such a test. METHODS: We developed a microsimulation model to project LE for patients with stage IIIC EOC. We compared: a "standard-of-care" strategy, in which patients were triaged to PCS vs. NACT+ICS based on current clinical practice; and a "test" strategy, in which patients were triaged based on results of a hypothetical test. We identified those test performance characteristics for which the test strategy outperformed the standard-of-care strategy, from a LE standpoint. Effects of parameter uncertainty were evaluated in sensitivity analysis. RESULTS: Even with a perfect test, the LE gain was modest (LE with test vs. standard-of-care strategy=67.6 vs. 66.4months; LE gain=1.2months). In order to outperform the standard-of-care, the test had to have a high probability of correctly identifying "resectable" patients at PCS (i.e. those for whom complete or optimal cytoreduction would be possible); this test property was more important than correct triage of unresectable patients to NACT+ICS. Results were sensitive to the proportion of patients whose underlying disease was resectable at PCS. CONCLUSION: Diagnostic tests that are designed to triage patients with advanced stage EOC will likely have only a modest effect on LE.

Do differences in medical comorbidities and treatment impact racial disparities in epithelial ovarian cancer?

BACKGROUND: Population-based studies of women with epithelial ovarian cancer suggest that black women have worse survival compared to white women. The primary objective of this study was to determine if, at a National Cancer Institute (NCI)-Designated Comprehensive Cancer Center (CCC) serving a diverse racial and socioeconomic population, race is independently associated with differences in survival. METHODS: A retrospective review of women with EOC diagnosed between 2004-2009 undergoing treatment with follow-up at our institution was performed. Records were reviewed for demographics, comorbidities (as defined by the Charlson Comorbidity Index (CCI)), tumor characteristics, treatment, progression-free (PFS), and overall survival (OS). Survival was calculated using the Kaplan-Meier method and compared with the log-rank test. Multivariate survival analysis was performed with Cox (proportional hazards) model. RESULTS: 367 patients met inclusion criteria. 54 (15%) were black and 308 (84%) were white. Compared to white women, black women had higher BMI, lower rates of optimal surgical cytoreduction, lower rates of intraperitoneal chemotherapy, and higher CCI scores. The median PFS for black and white women were 9.7 and 14.6months, respectively (p=0.033). The median overall survival was 21.7months for black women and 42.6months for white women (p<0.001). On multivariate analysis, black race independently correlated with a worse overall survival (HR 1.61, 95% CI 1.06-2.43). CONCLUSION: In this cohort, racial disparities may be due to higher medical comorbidities and lower rates of optimal surgical cytoreduction. After accounting for these differences, race remained an independent predictor of worse overall survival.

Unplanned postoperative intensive care unit admission for ovarian cancer cytoreduction is associated with significant decrease in overall survival.

OBJECTIVES: Previous studies have identified age, nutritional status, and hematocrit as risk factors for unplanned ICU admission in gynecologic oncology patients. We sought to identify additional perioperative factors that can be predictive of unplanned ICU admission and its impact on outcomes in women with ovarian cancer undergoing ovarian cancer cytoreductive procedures. METHODS: This was a case-control study of patients with unplanned ICU admission after primary surgery for ovarian cancer from January 2007 to December 2013. Controls were selected in a 2:1 ratio matching for primary surgeon and date of surgery. Clinical data was abstracted and compared between cases and controls using conditional logistic regression. RESULTS: The dataset consisted of 324 patients (108 ICU admissions, 216 controls). On multivariable analysis, failure to optimally cytoreduce (p = 0.001, OR 3.76) and higher EBL (p < 0.001, OR 1.20 per 100 cm3) remained significant predictors of unplanned ICU admission. On multivariable analysis of outcomes, ICU admission was independently associated with increased length of stay (12 days vs. 6 days, p < 0.001), increased number of postop complications (2 vs. 0, p < 0.001), and increased risk of readmission within 30 days (p = 0.041, OR 2.46). Even controlling for debulking status, ICU admission remained associated with a worse median OS (27.3 vs 57.9 months, p < 0.001). CONCLUSIONS: ICU admission for women undergoing cytoreductive surgery for ovarian cancer is associated with a significant decrease in OS and increase in number of postoperative complications. For this inherently high-risk population, this information is critical when counseling patients about peri-operative risks in primary cytoreductive surgery.