Mariam M. AlHilli

Tumorgrafts as In Vivo Surrogates for Women with Ovarian Cancer

Purpose: Ovarian cancer has a high recurrence and mortality rate. A barrier to improved outcomes includes a lack of accurate models for preclinical testing of novel therapeutics. Experimental Design: Clinically relevant, patient-derived tumorgraft models were generated from sequential patients and the first 168 engrafted models are described. Fresh ovarian, primary peritoneal, and fallopian tube carcinomas were collected at the time of debulking surgery and injected intraperitoneally into severe combined immunodeficient mice. Results: Tumorgrafts demonstrated a 74% engraftment rate with microscopic fidelity of primary tumor characteristics. Low-passage tumorgrafts also showed comparable genomic aberrations with the corresponding primary tumor and exhibit gene set enrichment of multiple ovarian cancer molecular subtypes, similar to patient tumors. Importantly, each of these tumorgraft models is annotated with clinical data and for those that have been tested, response to platinum chemotherapy correlates with the source patient. Conclusions: Presented herein is the largest known living tumor bank of patient-derived, ovarian tumorgraft models that can be applied to the development of personalized cancer treatment. Clin Cancer Res; 20(5); 1288–97. ©2014 AACR.

Lymphedema after surgery for endometrial cancer: Prevalence, risk factors, and quality of life

OBJECTIVE: To estimate lower extremity lymphedema prevalence in patients surgically treated for endometrial cancer, identify predictors of lymphedema, and evaluate the effects of lymphedema on quality of life. METHODS: One thousand forty-eight consecutive patients who were operated on between 1999 and 2008 at the Mayo Clinic were mailed a survey, which included our validated 13-item lymphedema screening questionnaire and two validated quality-of-life measures. Logistic regression models were fit to identify factors associated with prevalent lymphedema; a multivariable model was obtained using stepwise and backward variable selection methods. The relationship between lymphedema and obesity with each quality-of-life score was evaluated separate multivariable linear models. RESULTS: There were 591 responders (56%) after exclusions. Our questionnaire revealed a previous self-reported lymphedema diagnosis in 103 (17%) patients and identified undiagnosed lymphedema in 175 (30%) (overall prevalence 47.0%, median 6.2 years follow-up). Lymphedema prevalence in patients treated with hysterectomy alone compared with lymphadenectomy was 36.1% and 52.3%, respectively (attributable risk 23%). Lymphedema risk was not associated with the number of nodes removed or the extent of lymphadenectomy after adjusting for other factors. On multivariable analysis, higher body mass index, congestive heart failure, performance of lymphadenectomy, and radiation therapy were associated with prevalent lymphedema. Multiple quality-of-life scores were worse in women with lymphedema. CONCLUSION: The attributable risk of developing lower extremity lymphedema was 23% for patients with endometrial cancer who underwent lymphadenectomy compared with hysterectomy alone with an overall prevalence of 47%. Lymphedema was associated with reductions in multiple quality-of-life domains. LEVEL OF EVIDENCE: II

Risk-scoring system for the individualized prediction of lymphatic dissemination in patients with endometrioid endometrial cancer.

OBJECTIVE To develop a risk-scoring system (RSS) for the prediction of lymphatic dissemination after hysterectomy in endometrioid endometrial carcinoma (EC). METHODS Patients who underwent surgery from 1/1/1999-12/31/2008 were evaluated. Patients with non-endometrioid histology, stage IV with macroscopic extrauterine disease, or receiving adjuvant therapy (excluding brachytherapy) without pelvic and/or paraaortic (P/PA) lymphadenectomy (LND) were excluded. Lymph node dissemination was defined as nodal metastasis when P/PA LND was performed or P/PA lymph node recurrence after negative LND or when LND was not performed. Logistic regression analysis was used to identify predictors for lymphatic dissemination and develop a RSS and nomogram. The RSS was assessed for calibration and verified for discrimination. RESULTS Overall, 883 patients were assessed of which 521 (59.0%) underwent P/PA LND and 57 (10.9%) had positive lymph nodes. Of patients who did not undergo P/PA LND (N=362) or had negative nodes (N=464), 10 (1.2%) patients had P/PA lymph node recurrence. Myometrial invasion, tumor diameter (TD), FIGO grade, cervical stromal invasion and lymphovascular space invasion were significant on univariable analysis. All preceding variables were included in a multivariable logistic model. A parsimonious model and an alternative full model not including TD were considered. The full model with TD (illustrated in nomogram) had the highest predictive ability (concordance index 0.88). CONCLUSION Our RSS allows accurate quantification of the probability of lymphatic dissemination and can be used as an adjunct to clinical decision-making after hysterectomy in the absence of staging. TD is an important component of the RSS and should be routinely assessed.

Endometrial Cancer After Endometrial Ablation: Systematic Review of Medical Literature

Data are limited regarding the occurrence of endometrial cancer after endometrial ablation (EA). A systematic review of the English-language medical literature was performed of cases of endometrial cancer after EA. This review included the present case report involving a 47-year-old woman with a diagnosis of stage IA, grade 1 endometrial adenocarcinoma 5 years after radiofrequency EA. The systematic literature review identified 22 endometrial cancer cases occurring after EA. Most (76.5%) were stage I at diagnosis. Time to endometrial cancer diagnosis ranged from 2 weeks to 10 years following EA. All but 3 cases involved patients with known endometrial cancer risk factors. To our knowledge, the present case is the first reported occurrence of endometrial cancer after radiofrequency EA. Endometrial cancer has been detected after EA at variable intervals. Occurrence of endometrial cancer after EA is low, yet it continues to be difficult to quantify through retrospective analyses.

Risk-scoring models for individualized prediction of overall survival in low-grade and high-grade endometrial cancer

OBJECTIVE Overall survival (OS) in endometrial cancer (EC) is dependent on patient-, disease-, and treatment-specific risk factors. Comprehensive risk-scoring models were developed to estimate OS in low-grade and high-grade EC. METHODS Patients undergoing primary surgery for EC from 1999 through 2008 were stratified histologically according to the International Federation of Gynecology and Obstetrics (FIGO) as either (i) low grade: grades 1 and 2 endometrioid EC or (ii) high grade: grade 3, including non-endometrioid EC. Associations between patient-, pathological-, and treatment-specific risk factors and OS starting on postoperative day 30 were assessed using multivariable Cox regression models. Factors independently associated with OS were used to construct nomograms and risk-scoring models. RESULTS Eligible patients (N=1281) included 925 low-grade and 356 high-grade patients; estimated 5-year OSs were 87.0% and 51.5%, respectively. Among patients alive at last follow-up, median follow-up was 5.0 (low grade) and 4.6years (high grade), respectively. In low-grade patients, independent factors predictive of compromised OS included age, cardiovascular disease, pulmonary dysfunction, stage, tumor diameter, pelvic lymph node status, and grade 2 or higher 30-day postoperative complications. Among high-grade patients, age, American Society of Anesthesiologists score, stage, lymphovascular space invasion, adjuvant therapy, para-aortic nodal status, and cervical stromal invasion were independent predictors of compromised OS. The two risk-scoring models/nomograms had excellent calibration and discrimination (unbiased c-indices=0.803 and 0.759). CONCLUSION Patients with low-grade and high-grade EC can be counseled regarding their predicted OS using the proposed risk-scoring models. This may facilitate institution of personalized treatment algorithms, surveillance strategies, and lifestyle interventions.

Aromatase inhibitors in the treatment of recurrent ovarian granulosa cell tumors: Brief report and review of the literature

Granulosa cell tumors are ovarian sex cord stromal cancers that are unique for their indolent nature and late recurrence. Standard treatment regimens utilized include surgery, chemotherapy, and radiotherapy. However, hormonal suppression with aromatase inhibitors, which have shown promising results, may be a viable alternative to these modalities. We present a heavily pre‐treated, multi‐operated patient who experienced significant tumor shrinkage following treatment with an aromatase inhibitor for her recurrent granulosa cell tumor.

Risk-Scoring Model for Prediction of Non-Home Discharge in Epithelial Ovarian Cancer Patients

BACKGROUND Identification of preoperative factors predictive of non-home discharge after surgery for epithelial ovarian cancer (EOC) may aid counseling and optimize discharge planning. We aimed to determine the association between preoperative risk factors and non-home discharge. STUDY DESIGN Patients who underwent primary surgery for EOC at Mayo Clinic between January 2, 2003 and December 29, 2008 were included. Demographic, preoperative, and intraoperative factors were retrospectively abstracted. Logistic regression models were fit to identify preoperative factors associated with non-home discharge. Multivariable models were developed using stepwise and backward variable selection. A risk-scoring system was developed for use in preoperative counseling. RESULTS Within our cohort of 587 EOC patients, 12.8% were not discharged home (61 went to a skilled nursing facility, 1 to a rehabilitation facility, 1 to hospice, and there were 12 in-hospital deaths). Median length of stay was 7 days (interquartile range [IQR] 5, 10 days) for patients dismissed home compared with 11 days (IQR 7, 17 days) for those with non-home dismissals (p < 0.001). In multivariable analyses, patients with advanced age (odds ratio [OR] 3.75 95% CI [2.57, 5.48], p < 0.001), worse Eastern Cooperative Oncology Group (ECOG) performance status (OR 0.92 [95% CI 0.43, 1.97] for ECOG performance status 1 vs 0 and OR 5.40 (95% CI 2.42, 12.03) for score of 2+ vs 0; p < 0.001), greater American Society of Anesthesiologists (ASA) score (OR 2.03 [95% CI 1.02, 4.04] for score ≥3 vs < 3, p = 0.04), and higher CA-125 (OR 1.28 [95% CI 1.12, 1.46], p < 0.001) were less likely to be discharged home. The unbiased estimate of the c-index was excellent at 0.88, and the model had excellent calibration. CONCLUSIONS Identification of preoperative factors associated with non-home discharge can assist patient counseling and postoperative disposition planning.

In vivo anti-tumor activity of the PARP inhibitor niraparib in homologous recombination deficient and proficient ovarian carcinoma

OBJECTIVE Poly(ADP-ribose) polymerase (PARP) inhibitors have yielded encouraging responses in high-grade serous ovarian carcinomas (HGSOCs), but the optimal treatment setting remains unknown. We assessed the effect of niraparib on HGSOC patient-derived xenograft (PDX) models as well as the relationship between certain markers of homologous recombination (HR) status, including BRCA1/2 mutations and formation of RAD51 foci after DNA damage, and response of these PDXs to niraparib in vivo. METHODS Massively parallel sequencing was performed on HGSOCs to identify mutations contributing to HR deficiency. HR pathway integrity was assessed using fluorescence microscopy-based RAD51 focus formation assays. Effects of niraparib (MK-4827) on treatment-naïve PDX tumor growth as monotherapy, in combination with carboplatin/paclitaxel, and as maintenance therapy were assessed by transabdominal ultrasound. Niraparib responses were correlated with changes in levels of poly(ADP-ribose), PARP1, and repair proteins by western blotting. RESULTS Five PDX models were evaluated in vivo. Tumor regressions were induced by single-agent niraparib in one of two PDX models with deleterious BRCA2 mutations and in a PDX with RAD51C promoter methylation. Diminished formation of RAD51 foci failed to predict response, but Artemis loss was associated with resistance. Niraparib generally failed to enhance responses to carboplatin/paclitaxel chemotherapy, but maintenance niraparib therapy delayed progression in a BRCA2-deficient PDX. CONCLUSIONS Mutations in HR genes are neither necessary nor sufficient to predict response to niraparib. Assessment of repair status through multiple complementary assays is needed to guide PARP inhibitor therapy, design future clinical trials and identify ovarian cancer patients most likely to benefit from PARP inhibition.

Risk-adjusted outcomes in elderly endometrial cancer patients: implications of the contrasting impact of age on progression-free and cause-specific survival.

OBJECTIVE To reexamine the tenet that advanced age independently impacts progression-free and cause-specific survival in patients with endometrial cancer (EC). METHODS Patients undergoing surgery for stages I-IIIC EC between 1999 and 2008 were stratified by age (<70 vs ≥70years). Three propensity score (PS) methods were utilized to adjust for confounding risk factors. The PS, or conditional probability of being ≥70years old, given a patients baseline covariates, was derived using logistic regression. The Cox proportional hazards models were fit to estimate the effect of age≥70years on outcomes. RESULTS Of 1182 eligible patients, 822 (69.5%) were <70 and 360 (30.5%) were ≥70. Patients ≥70 were more likely to have multiple adverse risk factors. The total standardized difference of these factors was reduced by 74% and 81%, respectively, using PS-stratification and PS-matching analyses. The nonsignificant trend toward an association between progression-free survival and age≥70 in an unadjusted analysis (hazard ratio [HR], 1.40; 95% CI, 0.95-2.04) was further attenuated in the 3 PS analyses. The unadjusted HR for the association between age≥70 and cause-specific survival was 2.03 (95% CI, 1.32-3.13). HRs were attenuated in PS analyses but retained significance (except for PS matching), potentially reflecting differences in salvage therapies (P<.001), including a 3-fold greater use of chemotherapy in those <70. CONCLUSION When risk-adjusted for the higher prevalence of adverse prognostic factors in elderly EC patients, progression-free survival after primary therapy is not age dependent but the less favorable cause-specific survival in this cohort may reflect age-related postrecurrence treatment differences.

Risk factors and indications for 30-day readmission after primary surgery for epithelial ovarian cancer.

Background To identify patients at risk for postoperative morbidities, we evaluated indications and factors associated with 30-day readmission after epithelial ovarian cancer surgery. Methods Patients undergoing primary surgery for epithelial ovarian cancer between January 2, 2003, and December 29, 2008, were evaluated. Univariable and multivariable logistic regression models were fit to identify factors associated with 30-day readmission. A parsimonious multivariable model was identified using backward and stepwise variable selection. Results In total, 324 (60.2%) patients were stage III and 91 (16.9%) were stage IV. Of all 538 eligible patients, 104 (19.3%) were readmitted within 30 days. Cytoreduction to no residual disease was achieved in 300 (55.8%) patients, and 167 (31.0%) had measurable disease (≤1 cm residual disease). The most common indications for readmission were surgical site infection (SSI; 21.2%), pleural effusion/ascites management (14.4%), and thromboembolic events (12.5%). Multivariate analysis identified American Society of Anesthesiologists score of 3 or higher (odds ratio, 1.85; 95% confidence interval, 1.18–2.89; P = 0.007), ascites [1.76 (1.11–2.81); P = 0.02], and postoperative complications during initial admission [grade 3–5 vs none, 2.47 (1.19–5.16); grade 1 vs none, 2.19 (0.98–4.85); grade 2 vs none, 1.28 (0.74–2.21); P = 0.048] to be independently associated with 30-day readmission (c-index = 0.625). Chronic obstructive pulmonary disease was the sole predictor of readmission for SSI (odds ratio, 3.92; 95% confidence interval, 1.07–4.33; P = 0.04). Conclusions Clinically significant risk factors for 30-day readmission include American Society of Anesthesiologists score of 3 or higher, ascites and postoperative complications at initial admission. The SSI and pleural effusions/ascites are common indications for readmission. Systems can be developed to predict patients needing outpatient management, improve care, and reduce costs.