Impact of PD-L1 and T-cell inflamed gene expression profile on survival in advanced ovarian cancer.

OBJECTIVE: Programmed death ligand 1 (PD-L1) expression affects tumor evasion of immune surveillance. The prognostic value and relationship of PD-L1 expression to T-cell-inflamed immune signatures in ovarian cancer are unclear. The purpose of this study is to evaluate the impact of PD-L1 on overall survival and its correlation with an immune-mediated gene expression profile in patients with advanced ovarian cancer. METHODS: PD-L1 expression in tumor and immune cells was assessed by immunohistochemistry, and PD-L1-positive expression was defined as a combined positive score ≥1; a T-cell-inflamed gene expression profile containing interferon γ response genes was evaluated using extracted RNA from surgical samples. Associations between PD-L1 expression, gene expression profile status, and overall survival were analyzed using the Kaplan-Meier method, log-rank test, and multivariate Cox proportional hazards regression models. RESULTS: A total of 376 patients with advanced epithelial ovarian, primary peritoneal, or fallopian tube cancer treated by cytoreductive surgery and platinum-based therapy were included. PD-L1-positive expression was observed in 50.5% of patients and associated with more advanced stage (p=0.047), more aggressive histologic subtype (p=0.001), and platinum sensitivity defined by increasing treatment-free interval from first platinum-based chemotherapy to next systemic treatment (p=0.027). PD-L1-positive expression was associated with longer overall survival in multivariate analyses (adjusted HR 0.72, 95% CI 0.56 to 0.93). In subgroup analyses, this association was most pronounced in patients with partially platinum-sensitive disease (treatment-free interval ≥6 to <12 months). T-cell-inflamed gene expression profile status correlated with PD-L1 expression (Spearman, ρ=0.712) but was not an independent predictor of overall survival. CONCLUSION: PD-L1 expression is associated with longer overall survival among advanced ovarian cancer patients. PD-L1 expression may be an independent prognostic biomarker.

Clinical validation of chemotherapy predictors developed on global microRNA expression in the NCI60 cell line panel tested in ovarian cancer.

OBJECTIVE: Ovarian cancer is the leading cause of death among gynecologic malignancies. This is partly due to a non-durable response to chemotherapy. Prediction of resistance to chemotherapy could be a key role in more personalized treatment. In the current study we aimed to examine if microRNA based predictors could predict resistance to chemotherapy in ovarian cancer, and to investigate if the predictors could be prognostic factors for progression free and overall survival. METHODS: Predictors of chemotherapy-resistance were developed based on correlation between miRNA expression and differences in measured growth inhibition in a variety of human cancer cell lines in the presence of Carboplatin, Paclitaxel and Docetaxel. These predictors were then, retrospectively, blindly validated in a cohort of 170 epithelial ovarian cancer patients treated with Carboplatin and Paclitaxel or Docetaxel as first line treatment. RESULTS: In a multivariate cox proportional analysis the predictors of chemotherapy-resistance were not able to predict time to progression after end of chemotherapy (hazard ratio: 0.64, 95% CI: 0.36-1.12, P = 0.117). However, in a multivariate logistic analysis, where time to progression was considered as either more or less than 6 months, the predictors match clinical observed chemotherapy-resistance (odds ratio: 0.19, 95% CI: 0.05-0.73, P = 0.015). Neither univariate nor multivariate, time-dependent, cox analysis for progression free survival (PFS) or overall survival (OS) in all 170 patients showed to match predicted resistance to chemotherapy (PFS: hazard ratio: 0.69, 95% CI: 0.40-1.19, P = 0.183, OS: hazard ratio: 0.76, 95% CI: 0.42-1.40, P = 0.386). CONCLUSION: In the current study, microRNA based predictors of chemotherapy-resistance did not demonstrate any convincing correlation to clinical observed chemotherapy-resistance, progression free survival, or overall survival, in patients with epithelial ovarian cancer. However the predictors did reflect relapse more or less than 6 months.

[18F-FDG PET/CT contributes to diagnostics and therapy monitoring of radiation-induced angiosarcoma].

Angiosarcomas are rare, aggressive malignant mesenchymal tumours with a poor prognosis. Radiation therapy is an independent risk factor for the development of secondary angiosarcoma. The onset of angiosarcoma may resemble benign lesions, leading to delayed diagnosis. It has been suggested that 18F-fluorodeoxyglucose (FDG) PET/CT scan may be useful in the early diagnosis in differentiating angiosarcoma from benign lesions and in therapy monitoring. We report the utility of 18F-FDG PET/CT scan in the diagnosis and follow-up of radiation-induced angiosarcoma in a patient previously treated for uterine cancer.

HE4 as a predictor of adjuvant chemotherapy resistance and survival in patients with epithelial ovarian cancer.

The aim of this study was to investigate the value of serum human epididymis protein 4 (HE4) and HE4 tissue protein expression to predict tumor resistance to adjuvant chemotherapy, progression-free survival (PFS), and overall survival in patients with epithelial ovarian cancer (EOC). Consecutive inclusion of 198 patients diagnosed with EOC was conducted. Blood samples were collected prior to surgery and tissue samples during surgery. Patient data were registered prospectively in the Danish Gynecologic Cancer Database. The association between serum HE4 and HE4 tissue protein expression, resistance to adjuvant chemotherapy, PFS, and overall survival were analyzed in univariate analyses and in multivariate analyses adjusted for age, performance score, surgical outcome, stage, grade, and histological subtype. Serum HE4 levels predicted chemotherapy resistance, PFS, and overall survival correlated significantly (p < 0.001) in the univariate analyses; but after adjustment in a multivariate model, serum HE4 was insignificant, except in a subgroup analysis of postmenopausal women, where serum HE4 significantly predicted resistance to chemotherapy and progression-free survival. HE4 tissue protein expression predicted PFS (p = 0.022) and overall survival (p = 0.047) in the univariate analysis, while HE4 tissue protein expression failed to predict these outcomes in the adjusted multivariate analyses. Serum HE4 or HE4 tissue protein expression are not independent factors of chemotherapy resistance or survival in patients with EOC, but serum HE4 might predict chemotherapy resistance and PFS in postmenopausal women.

A novel index for preoperative, non-invasive prediction of macro-radical primary surgery in patients with stage IIIC-IV ovarian cancer-a part of the Danish prospective pelvic mass study.

The purpose of this study was to develop a novel index for preoperative, non-invasive prediction of complete primary cytoreduction in patients with FIGO stage IIIC-IV epithelial ovarian cancer. Prospectively collected clinical data was registered in the Danish Gynecologic Cancer Database. Blood samples were collected within 14 days of surgery and stored by the Danish CancerBiobank. Serum human epididymis protein 4 (HE4), serum cancer antigen 125 (CA125), age, performance status, and presence/absence of ascites at ultrasonography were evaluated individually and combined to predict complete tumor removal. One hundred fifty patients with advanced epithelial ovarian cancer were treated with primary debulking surgery (PDS). Complete PDS was achieved in 41 cases (27 %). The receiver operating characteristic curves demonstrated an area under the curve of 0.785 for HE4, 0.678 for CA125, and 0.688 for age. The multivariate model (Cancer Ovarii Non-invasive Assessment of Treatment Strategy (CONATS) index), consisting of HE4, age, and performance status, demonstrated an AUC of 0.853. According to the Danish indicator level, macro-radical PDS should be achieved in 60 % of patients admitted to primary surgery (positive predictive value of 60 %), resulting in a negative predictive value of 87.5 %, sensitivity of 68.3 %, specificity of 83.5 %, and cutoff of 0.63 for the CONATS index. Non-invasive prediction of complete PDS is possible with the CONATS index. The CONATS index is meant as a supplement to the standard preoperative evaluation of each patient. Evaluation of the CONATS index combined with radiological and/or laparoscopic findings may improve the assessment of the optimal treatment strategy in patients with advanced epithelial ovarian cancer.

High-risk HPV is not associated with epithelial ovarian cancer in a Caucasian population.

BACKGROUND: High-risk human papillomavirus (HPV) has been suspected to play a role in the carcinogenesis of epithelial ovarian cancer (EOC). However, results from previous studies are conflicting. In most of these studies, the number of tissue samples was small. The current study was therefore undertaken to examine the prevalence of high-risk HPV DNA in EOC in a large series of patients. METHOD: Formalin-fixed, paraffin-imbedded tumor tissue samples from 198 cases consecutively included in the Danish Pelvic Mass Study were analyzed. The material included 163 serous adenocarcinomas, 15 endometrioid adenocarcinomas, 11 mucinous adenocarcinomas and nine clear-cell carcinomas. Genotyping for high-risk HPV DNA was performed by real-time Polymerase chain reaction (PCR) using an in-house TaqMan singleplex assay targeting the E6/E7 region of the HPV 16 and 18 genomes. Additionally, 20 random samples without HPV 16 and/or 18 infections were reanalyzed for HPV subtypes 31, 33, 35, 39, 45, 51 and 52. RESULTS: The quality criteria were fulfilled in 191 samples. HPV 18 DNA was detected in one sample only, while the rest tested negative. The subgroup analysis for seven additional high-risk HPV subtypes was also negative. CONCLUSIONS: Only one in 191 samples was positive for HPV DNA. We therefore conclude that high risk HPV is unlikely to be associated with EOC in a Caucasian population. Future studies should focus on other microorganisms as possible etiological factors in EOC carcinogenesis.

Relapse and disease specific survival in 1143 Danish women diagnosed with borderline ovarian tumours (BOT).

OBJECTIVE: The aim of the study was to evaluate the rate of relapse as well as disease-free, overall, and disease-specific survival in women with borderline ovarian tumour (BOT). Furthermore, the study aims to identify the clinical parameters correlated to relapse. METHODS: National clinical data of women diagnosed with BOT from January 2005 to January 2013 constituted the basis for our study population. The prognostic influence of clinical variables was evaluated using univariate and multivariate analyses. RESULTS: A total of 1143 women were eligible for analysis, with 87.9% in FIGO stage I and 12.1% in FIGO stages II-IV. Relapse of BOT was detected in 3.7%, hereof 40.5% with malignant transformation. The five-year disease-free survival was 97.6% in FIGO stage I and 87.3% in FIGO stages II-IV. Younger age, laparoscopic surgical approach, fertility sparing surgery, FIGO stages II-IV, bilateral tumour presence, serous histology, implants and microinvasion of the tumour were significantly associated with relapse in univariate analyses. The overall five-year survival rate was 92.2% in FIGO stage I and 89.0% in FIGO stages II-IV. Out of 77 deaths in total, only seven women died from BOT. CONCLUSIONS: A general favourable prognosis in women with BOT was confirmed in our study. Our findings indicate that systematic, long-term follow-up does not seem necessary in women treated for FIGO stage IA BOT with no residual disease or microinvasion.

Demographic Clinical and Prognostic Factors of Primary Ovarian Adenocarcinomas of Serous and Clear Cell Histology-A Comparative Study.

OBJECTIVE: To compare clinical demographic and prognostic factors as well as overall survival in a nationwide cohort of patients diagnosed with ovarian clear cell carcinoma (oCCC) and high grade ovarian serous adenocarcinoma (oSAC) during 2005 to 2013. MATERIALS AND METHODS: Population-based prospectively collected data on oCCC (n = 179) and oSAC (n = 2363) cases were obtained from the Danish Gynecological Cancer Database. χ, Fischer or Wilcoxon-Mann-Whitney, multivariate logistic regression, univariate Kaplan-Meier, and multivariate Cox regression tests were used. Statistical tests were 2-sided. P values less than 0.05 were considered statistically significant. RESULTS: The oCCC cases were significantly younger than oSAC cases. An inverse association between ever smoking and oCCC as compared to oSAC was observed and a significantly higher proportion of oCCC was found to be nulliparous (odds ratio, 0.62; 95% confidence interval, 0.37-0.92).Although more oSAC than oCCC cases diagnosed in stage III or IV were referred to neoadjuvant chemotherapy, a higher proportion of oCCC achieved complete cytoreduction at primary debulking surgery and/or had lymphadenectomy performed; overall survival were poorer among oCCC than oSAC cases in analyses restricted to stages III and IV (odds ratio, 1.87; 95% confidence interval, 1.35-2.61), whereas no difference between early stage oCCC and oSAC was observed. CONCLUSIONS: The study confirms that demographic features and risk factors differ between oCCC and oSAC cases. Furthermore, our findings confirm that advanced stages of oCCC have a poorer prognosis compared with oSAC probably because of the resistance toward adjuvant chemotherapy. The observed differences highlight the need for subtype-specific research and individualized treatment within ovarian cancer.

The prognostic value of dividing epithelial ovarian cancer into type I and type II tumors based on pathologic characteristics.

OBJECTIVE: To investigate the prognostic significance of dividing epithelial ovarian cancer (EOC) in type I and type II tumors based on pathologic variables. METHODS: We used the Danish Gynecologic Cancer Database to identify all patients diagnosed with EOC from 2005 to 2012. Information on histologic type and grade were used to classify tumors as either type I or type II. Death, and several prognostic factors were used in the multivariate Cox regression, and Landmark analysis was used to estimate hazard ratios of all-cause mortality. RESULTS: Among 2660 patients diagnosed with EOC, 735 were categorized as type I tumors, and 1925 as type II tumors. Patients with type II EOC were more frequently diagnosed in late FIGO stages (stages III-IV) than patients with type I EOC (78.1% vs. 32.1% respectively; P<0.001). Time dependent multivariate Cox analysis, adjusted for known prognostic variables, showed no significant difference in survival within the first two years after diagnosis, however, after 730days of follow-up a significantly increased overall survival for type I tumors was observed (hazard ratio 1.72, 95% confidence interval: 1.28-2.31, P<0.001). Similarly the Landmark analysis for survival confirmed the increased overall survival for type I tumors after two years of follow-up (hazard ratio: 1.85, 95% confidence interval: 1.35-2.54, P<0.001). CONCLUSION: Classification of EOC in type I and type II tumors based on pathologic variables was associated with an increased risk of death for type II tumors after two years of follow-up, while no increased risk was seen during the first two years of follow-up.

Demographic clinical and prognostic characteristics of primary ovarian, peritoneal and tubal adenocarcinomas of serous histology--a prospective comparative study.

OBJECTIVES: Invasive serous adenocarcinomas may present as primary ovarian (POC), primary fallopian tube (PFC) or primary peritoneal (PPC) carcinomas. Whether they are variants of the same malignancy or develop through different pathways is debated. METHODS: Population-based prospectively collected data on POC (n=1443), PPC (n=268) and PFC (n=171) cases was obtained from the Danish Gynecological Cancer Database (2005-2013). Chi-square, Fisher's or Wilcoxon-Mann-Whitney test, multivariate logistic regression, Kaplan-Meier and multivariate Cox-regression were used as appropriate. Statistical tests were 2-sided. P-values of <0.05 were considered statistically significant. RESULTS: PPC cases were older (P<0.0001), had a later age at menarche (P=0.02), a higher percentage were multi-parous (≥two children vs. no children) OR 1.70 (1.01-2.49) and both PPC and PFC tended to have a higher BMI (>35 vs. >18.5-25) than POC cases. PFC cases were diagnosed in earlier stages (P<0.001). In advanced stages a lower proportion had preoperative carcinosis or ascites, and a higher percentage had macro-radical surgery or lymphadenectomy compared to POC. In contrast, more PPC cases had post-operative carcinosis; whereas a lower proportion had lymphadenectomy or macro-radical surgery compared to POC. PPC had a significantly lower overall survival than POC, HR=1.24 (1.04-1.47). CONCLUSION: We found differences in risk pattern profiles among the three groups, especially for PPC. Furthermore, the severity of stage specific disease differed significantly according to location, resulting in a lower overall survival for PPC. These differences warrant further research to determine to what extent PPC is a distinct disease entity.

Biomarkers for predicting complete debulking in ovarian cancer: lessons to be learned.

AIM: We aimed to construct and validate a model based on biomarkers to predict complete primary debulking surgery for ovarian cancer patients. PATIENTS AND METHODS: The study consisted of three parts: Part I: Biomarker data obtained from mass spectrometry, baseline data and, surgical outcome were used to construct predictive indices for complete tumour resection; Part II: sera from randomly selected patients from part I were analyzed using enzyme-linked immunosorbent assay (ELISA) to investigate the correlation to mass spectrometry; Part III: the indices from part I were validated in a new cohort of patients. RESULTS: Part I: The area under the receiver operating characteristic curve (AUC) was 0.82 for both indices. Part II: Linear regression analysis gave an R(2) value of 0.52 and 0.63 for transferrin and ß2-microglobulin, respectively. Part III: The AUC of the two indices decreased to 0.64. CONCLUSION: Our validated model based on biomarkers was unable to predict surgical outcome for patients with ovarian cancer.

Lymphadenectomy in surgical stage I epithelial ovarian cancer.

OBJECTIVE: To identify the extent of lymphadenectomy performed in women presenting with epithelial ovarian cancer macroscopically confined to the ovary. Furthermore, the effect of lymphadenectomy on overall survival is evaluated. DESIGN: A prospective nationwide case-only study. SETTING: Denmark 2005-2011. SAMPLE: All women registered in the nationwide Danish Gynecologic Cancer Database from 1 January 2005 to 1 May 2011, presenting with a tumor macroscopically confined to the ovary without visible evidence of abdominal spread at the time of the initial exploration (surgical stage I). METHOD: Descriptive and survival analyses of data from Danish Gynecologic Cancer Database. MAIN OUTCOME MEASURES: The annual proportion of women with surgical stage I disease who received lymphadenectomy and the survival in the two groups. RESULTS: Of 2361 women with epithelial ovarian cancer, 627 were identified with surgical stage I. Lymphadenectomy was performed in 216 women (34%) of whom 13 (6%) had lymph node metastases. At 5-year follow up 85% remained alive in the lymphadenectomy group compared with 80% in the control group (p = 0.064). The lymphadenectomy fraction increased from 24% in 2005 to 55% in 2011. When univariate and multivariate analyses were conducted only an insignificant difference in the survival probability was found between lymphadenectomy and no lymphadenectomy in women presenting with tumor macroscopically confined to the ovary. CONCLUSION: Although increasing, the number of women with surgical stage I disease in Denmark who receive lymphadenectomy remains low, but this did not seem to make a difference to survival.

Diagnostic accuracy of risk of malignancy index in predicting complete tumor removal at primary debulking surgery for ovarian cancer patients.

Ovarian cancer patients in whom complete tumor removal is impossible with primary debulking surgery (PDS) may benefit from neoadjuvant chemotherapy and interval debulking surgery. However, the task of performing a pre-operative evaluation of the feasibility of PDS is difficult. We aimed to investigate whether the risk of malignancy index (RMI) was a useful marker for this evaluation. RMI and surgical outcome were investigated in 164 patients, 49 of whom had no residual tumor after PDS. The receiver operating characteristic curve showed an area under the curve of 0.72 (confidence interval: 0.64-0.80). The possibility of complete tumor removal decreased with increasing RMI and there was a tendency towards higher RMI in patients with residual tumor after PDS, but no single cut-off value of RMI produced useful clinical predictive values. In conclusion, RMI alone is not an optimal method to determine whether complete tumor removal is possible with PDS.

MRI, PET/CT and ultrasound in the preoperative staging of endometrial cancer - a multicenter prospective comparative study.

OBJECTIVES: The aim of this prospective multicenter study was to evaluate and compare the diagnostic performance of PET/CT, MRI and transvaginal two-dimensional ultrasound (2DUS) in the preoperative assessment of endometrial cancer (EC). METHODS: 318 consecutive women with EC were included when referred to three Danish tertiary gynecological centers for surgical treatment. Preoperatively they were PET/CT-, MRI-, and 2DUS scanned. The imaging results were compared to the final pathological findings. This study was approved by the National Committee on Health Research Ethics. RESULTS: For predicting myometrial invasion, we found sensitivity, specificity, PPV, NPV, and accuracy for PET/CT to be 93%, 49%, 41%, 95% and 61%, for MRI to be 87%, 57%, 44%, 92%, and 66% and for 2DUS to be 71%, 72%, 51%, 86% and 72%. For predicting cervical invasion, the values were 43%, 94%, 69%, 85% and 83%, respectively, for PET/CT, 33%, 95%, 60%, 85%, and 82%, respectively, for MRI, and 29%, 92%, 48%, 82% and 78% for 2DUS. Finally, for lymph node metastases, the values were 74%, 93%, 59%, 96%, and 91% for PET/CT and 59%, 93%, 40%, 97% and 90% for MRI. When comparing the diagnostic performance we found PET/CT, MRI and 2DUS to be comparable in predicting myometrial invasion. For cervical invasion and lymph node metastases, however, PET/CT was the best. CONCLUSIONS: None of the modalities can yet replace surgical staging. However, they all contributed to important knowledge and were, furthermore, able to upstage low-risk patients who would not have been recommended lymph node resection based on histology and grade alone.

Is tissue CA125 expression in epithelial ovarian adenocarcinoma heterogenic?

To evaluate if heterogeneity of tissue cancer antigen 125 (CA125) expression is present in epithelial serous adenocarcinomas. Furthermore, to investigate whether there is a correlation between levels of CA125 tissue expression, serum level of CA125, stage, and grade. A total of 10 patients diagnosed with serous ovarian adenocarcinomas were included. Preoperative blood samples were collected to determine serum CA125 levels. Tumor tissue from primary surgery was collected and processed for immunohistochemical analyses. CA125 was expressed in varying degrees in tumor tissues from all patients. Mean tissue CA125 expression for each patient ranged from 36% to 98%. Intrapatient variations in tissue expression ranged from 10% to 90% point. No significant correlations between levels of CA125 tissue expression, serum level of CA125, stage, and grade were found. We found that the tissue expression of CA125 is heterogenic. Although most patients had a high mean expression, it covers a large intrapatient variation in expression. This suggests that if using CA125 as a tissue marker and anti-CA125 (oregovomab) as immunotherapy treatment in future studies, it will be necessary to take heterogeneity into consideration and examine a larger number of biopsies. Therefore, the study demonstrates the need for heterogeneity studies in future translational research.

Evaluation of HE4, CA125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) as diagnostic tools of epithelial ovarian cancer in patients with a pelvic mass.

OBJECTIVE: Diagnostic factors are needed to improve the currently used serum CA125 and risk of malignancy index (RMI) in differentiating ovarian cancer (OC) from other pelvic masses, thereby achieving precise and fast referral to a tertiary center and correct selection for further diagnostics. The aim was to evaluate serum Human Epididymis protein 4 (HE4) and the risk of ovarian malignancy algorithm (ROMA) for these purposes. METHODS: Serum from 1218 patients in the prospective ongoing pelvic mass study was collected prior to diagnosis. The HE4 and CA125 data were registered and evaluated separately and combined in ROMA and compared to RMI. RESULTS: 809 benign tumors, 79 borderline ovarian tumors, 252 OC (64 early and 188 late stage), 9 non-epithelial ovarian tumors and 69 non-ovarian cancers were evaluated. Differentiating between OC and benign disease the specificity was 62.2 (CA125), 63.2 (HE4), 76.5 (ROMA) and 81.5 (RMI) at a set sensitivity of 94.4 which corresponds to RMI=200. The areas under the curve (AUC) were 0.854 (CA125), 0.864 (HE4), 0,897 (ROMA) and 0.905 (RMI) for benign vs. early stage OC. For premenopausal benign vs. OC AUC were 0.925 (CA125), 0.905 (HE4), 0.909 (ROMA) and 0.945 (RMI). CONCLUSION: HE4 and ROMA helps differentiating OC from other pelvic masses, even in early stage OC. ROMA performs equally well as the ultrasound depending RMI and might be valuable as a first line biomarker for selecting high risk patients for referral to a tertiary center and further diagnostics. Further improvements of HE4 and ROMA in differentiating pelvic masses are still needed, especially regarding premenopausal women.

Positron emission tomography/computed tomography predictors of overall survival in stage IIIC/IV ovarian cancer.

OBJECTIVE: To evaluate the role of 2-deoxy-2-(F)fluoro-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) for selecting patients with extensive ovarian cancer (OC) for neoadjuvant chemotherapy by evaluating predictors of overall survival in patients with stage IIIC/IV OC. MATERIALS AND METHODS: From September 1, 2004, to November 20, 2011, 514 consecutive patients with a pelvic tumor underwent preoperative PET/CT; 179 patients had stage IIIC/IV OC. Patients' characteristics were collected from 153 patients with stage IIIC/IV OC who underwent primary surgery. In 152 patients with stage IIIC/IV OC, clinical predictors and PET/CT predictors of survival were evaluated. RESULTS: Median age was 64 years (range, 38-88 years); 87% (113) of the 153 patients had a performance status of less than 2; 55% (84) of the 153 patients had PET/CT stage III, and 45% (69) of the 153 patients had PET/CT stage IV. Using univariate analysis, incomplete debulking (P = 0.0001), pleural exudates (P = 0.001), postmenopausal state (P = 0.01), WHO performance status greater than 2 (P = 0.01), PET/CT stage IV (P = 0.01), and large bowel mesentery implants (P = 0.02) were statistically significant prognostic variables. Using multivariate Cox regression analysis, incomplete debulking was the only statistically significant independent prognostic variable (P = 0.0001). Median overall survival was significantly longer in the 53 patients with no residual tumor than in the 99 patients with residual tumor (33.3 vs 25.5 months; P = 0.0001) CONCLUSION: Suggested PET/CT criteria for referral of patients with advanced OC to neoadjuvant chemotherapy are PET/CT stage IV, pleural exudates, and PET-positive large bowel mesentery implants. Evaluation of selection criteria for neoadjuvant chemotherapy should be promoted in prospective clinical trials, with survival as the primary end point.

Circulating antinuclear antibodies in patients with pelvic masses are associated with malignancy and decreased survival.

BACKGROUND: Circulating autoantibodies occur more frequently in cancer patients than in patients without cancer. METHODS AND FINDINGS: We examined sera from patients referred for pelvic mass symptoms to a tertiary university clinic. A total of 127 were diagnosed with epithelial ovarian cancer while 386 had a benign condition. A screen for IgG anti-nuclear antibodies (ANA) by indirect immunofluorescence on HEp-2 cells confirmed a highly significant overrepresentation of ANA in the cancer group where 40% had detectable (i.e., a titer ≥160) ANA compared with less than 12% in the benign group. The overrepresentation of ANA in the cancer group persisted (p<0.0001) after matching the age-profile of the benign group with the ovarian cancer group. Only 19 out of 127 patients in the age-matched benign subgroup were positive for ANA corresponding to an 85% specificity at 40% sensitivity of ANA as the only marker for malignancy. No correlation of ANA positivity in either group with specific bands in immunoblots could be demonstrated even though immunoblot positivity was clearly increased in the malignant group (41% vs. 3%). The presence, strength, and type of ANA did not correlate with serum CA-125 values or with staging, and ANA outcome did not contribute with independent diagnostic information. However, survival was significantly shorter in ANA-positive compared with ANA-negative cancer patients and patients with CA-125 below the median CA-125 value in the cancer group had a significantly decreased survival when positive for ANA. ANA status made no difference in the group with CA-125 values above the median. Also, there was a significant correlation between speckled ANA-strength and histological tumor grade. CONCLUSIONS: Circulating antibodies are a promising source for new biomarkers in cancer. Characterization of epitope specificities and measurements of consecutive samples will be important for further elucidating the role of ANA in evaluating ovarian cancer patients.

Risk of malignancy index used as a diagnostic tool in a tertiary centre for patients with a pelvic mass.

OBJECTIVE: Risk of malignancy index (RMI), based on a serum cancer antigen 125 level, ultrasound findings and menopausal status, is used to discriminate ovarian cancer from benign pelvic mass. In Denmark, patients with pelvic mass and RMI ≥200 are referred to tertiary gynecologic oncology centers according to the national guidelines for ovarian cancer treatment. The guidelines include recalculation of RMI at the tertiary center and, if indicated, positron emission tomography/computed tomography and fast-track surgery by specialists in cancer surgery. The aim of this study was to validate the use of RMI ≥200 as a tool for preoperative identification of ovarian cancer at a tertiary center. DESIGN: Prospective observational study. SETTING: A tertiary center in Copenhagen, Denmark. POPULATION: One thousand one hundred and fifty-nine women with pelvic mass. METHODS: The RMI was calculated after ultrasound examination and blood sampling for serum cancer antigen 125 analysis within two weeks before surgery. MAIN OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values were calculated to evaluate the ability of RMI to distinguish between ovarian cancer and benign pelvic mass. RESULTS: There were 778 women diagnosed with benign pelvic mass, while 251 had ovarian cancer and 74 had borderline ovarian tumor. Fifty-six women were diagnosed with other forms of cancer. Sensitivity and specificity for ovarian cancer vs. benign pelvic mass for RMI ≥200 were 92 and 82%, respectively. Corresponding positive and negative predictive values were 62 and 97%. CONCLUSIONS: Risk of malignancy index ≥200 is a reliable tool for identifying patients with ovarian cancer pelvic masses at a tertiary centre to select patients for further preoperative examinations.

A novel proteomic biomarker panel as a diagnostic tool for patients with ovarian cancer.

BACKGROUND: Previous reports have shown that the proteomic markers apolipoprotein A1, hepcidin, transferrin, inter-alpha trypsin IV internal fragment, transthyretin, connective-tissue activating protein 3 and beta-2 microglobulin may discriminate between a benign pelvic mass and ovarian cancer (OC). The aim was to determine if these serum proteomic biomarkers alone as well as in combination with age and serum CA125, could be helpful in triage of women with a pelvic mass. METHODS: We included prospectively 144 patients diagnosed with (OC), 40 with a borderline tumor and 469 with a benign tumor. Surface-enhanced laser desorption/ionization time of flight-mass spectrometry was used for analyses. The Danish Index (DK-Index) based on the proteomic data, age and CA125 was developed using logistic regression models. RESULTS: Multivariate logistic regression analysis demonstrated that the selected proteomic markers, CA125 and age were independent predictors of OC and the combination of these is proposed as the DK-index. A sensitivity (SN) of 99% had a specificity (SP) of 57% for DK-index and 49% for CA125. At a SN of 95%, the SP increased to 81% for DK-index compared to 68% for CA125 alone. For stage I+II the SP was 58% for DK-index and 49% for CA125. For stage III+IV the corresponding values were 94% and 86% respectively. CONCLUSIONS: The DK-index warrants further evaluation in independent cohorts.