Serum human epididymis protein 4 and risk for ovarian malignancy algorithm as new diagnostic and prognostic tools for epithelial ovarian cancer management

Tissue CA125 and HE4 Gene Expression Levels Offer Superior Accuracy in Discriminating Benign from Malignant Pelvic Masses

BACKGROUND

Ovarian cancer remains a major worldwide health care issue due to the lack of satisfactory diagnostic methods for early detection of the disease. Prior studies on the role of serum cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) in detecting ovarian cancer presented conflicting results. New tools to improve the accuracy of identifying malignancy are urgently needed. We here aimed to evaluate the diagnostic utility of tissue CA125 and HE4 gene expression in comparison to serum CA125 and HE4 in discriminating benign from malignant pelvic masses.

MATERIALS AND METHODS

One-hundred Egyptian women were enrolled in this study, including 60 epithelial ovarian cancer (EOC) patients and 20 benign ovarian tumor patients, as well as 20 apparently healthy women. Preoperative serum levels of CA125 and HE4 were measured by immunoassays. Tissue expression levels of genes encoding CA125 and HE4 were determined by quantitative real time polymerase chain reaction (qRT-PCR). The diagnostic performance of CA125 and HE4, measured either as mRNA or protein levels, was evaluated by receiver operating characteristic (ROC) curves.

RESULTS

The serum CA125+HE4 combination and serum HE4, with area under the curve (AUC) values of 0.935 and 0.932, respectively, performed significantly better than serum CA125 (AUC=0.592; P<0.001). Tissue CA125 and HE4 (AUC=1) performed significantly better than serum CA125 (P<0.001), serum HE4 (P=0.016) and the serum CA125+HE4 combination (P=0.018).

CONCLUSIONS

Measurement of tissue CA125 and HE4 gene expression not only improves discriminatory performance, but also broadens the range of differential diagnostic possibilities in distinguishing EOC from benign ovarian tumors.

Diagnostic usefulness of the Risk of Ovarian Malignancy Algorithm using the electrochemiluminescence immunoassay for HE4 and the chemiluminescence microparticle immunoassay for CA125

The present study aimed to investigate the usefulness of the Risk of Ovarian Malignancy Algorithm (ROMA) in the preoperative stratification of patients with ovarian tumors using a novel combination of laboratory tests. The study group (n=619) consisted of 354 premenopausal and 265 postmenopausal patients. The levels of carbohydrate antigen 125 (CA125) and human epididymis protein 4 (HE4) were determined, and ROMA calculations were performed for each pre- and postmenopausal patient. HE4 levels were determined using an electrochemiluminescence immunoassay, while CA125 levels were determined by a chemiluminescence microparticle immunoassay. A contingency table was applied to calculate the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Receiver operating characteristic curves were also constructed, and areas under the curves (AUCs) were compared between the marker determinations and ROMA algorithms. In terms of distinguishing between ovarian cancer and benign disease, the sensitivity of ROMA was 88.3%, specificity was 88.2%, PPV was 75.3% and NPV was 94.9% among all patients. The respective parameters were 71.1, 90.1, 48.2 and 91.1% in premenopausal patients and 93.6, 82.9, 86.6 and 91.6% in postmenopausal patients. The AUC value for the ROMA algorithm was 0.926 for the ovarian cancer vs. benign groups in all patients, 0.813 in premenopausal patients and 0.939 in postmenopausal patients. The respective AUC values were 0.911, 0.879 and 0.934 for CA125; and 0.879, 0.783 and 0.889 for HE4. In this combination, the ROMA algorithm is characterized by an extremely high sensitivity of prediction of ovarian cancer in women with pelvic masses, and may constitute a precise tool with which to support the qualification of patients to appropriate surgical procedures. The ROMA may be useful in diagnosing ovarian endometrial changes in young patients.

Preoperative HE4, CA125 and ROMA in the differential diagnosis of benign and malignant adnexal masses

Background

The aim of this study was to evaluate HE4, CA125 and ROMA in the preoperative differentiation benign ovarian diseases from epithelial ovarian cancer depending on the menopausal status.

Methods

In order to estimate markers’ concentrations in the serum of women with benign ovarian disease (n = 128) and with epithelial ovarian carcinoma (n = 96) the electrochemiluminescence (ECLIA) technique has been applied.

Results

Using the ROC analysis, although no statistical differences were found among their AUCs, the ROMA algorithm seems to be effective in gathering the diverse performance of HE4 and CA125. The AUC for HE4, CA125 and ROMA for all patients were: 0.895; 0.879 and 0.918, respectively. At established new optimal cutoff values for HE4, CA125 and ROMA we found higher specificity in postmenopausal compared to premenopausal women (96.9 vs 89.8 % and 97.7 vs 84.1 % and 95.9 vs 89.1 %, respectively). The sensitivity of HE4 in pre- and postmenopausal women was similar (83.5 vs 83.8 %), while for CA125 was the highest in premenopausal women (87.0 vs 84.1 %). For HE4, CA125 and ROMA the negative predictive value was high (97.6, 93.9 and 94.4 %, respectively).

Conclusions

The ROMA algorithm shows the best diagnostic performance to distinguish epithelial ovarian cancer from benign ovarian disease. We found the high specificity of HE4 and CA125 while differentiating ovarian benign diseases from epithelial ovarian cancer in postmenopausal women and the high sensitivity of CA125 in detecting epithelial ovarian cancer in premenopausal patients.

Value of serum human epididymis secretory protein 4 as a marker for differential diagnosis of malignant and benign gynecological diseases of patients in southern China

BACKGROUND

This study investigated the clinical value of HE4 in distinguishing malignant and benign gynecological diseases of patients in southern China.

METHODS

Preoperative serum CA125 and HE4 concentrations were tested in samples of women with malignant or benign gynecological diseases using fully automated methods (Abbott ARCHITECT) and validated cutoff values.

RESULTS

For the discrimination of ovarian cancer from benign gynecological diseases, in premenopausal women, the sensitivity and specificity were 89.8% and 67.5% for CA125, 68.5% and 97.8% for HE4, and 88.9% and 78.6% for ROMA, whereas in postmenopausal women, the sensitivity and specificity were 86.6% and 88.9% for CA125, 57.3% and 100% for HE4, and 85.4% and 94.4% for ROMA. For the discrimination of endometrial cancer from benign gynecological diseases, in premenopausal women, the sensitivity and specificity were 20.3% and 67.5% for CA125, 56.8% and 97.8% for HE4, and 74.3% and 78.6% for ROMA, whereas in postmenopausal women, the sensitivity and specificity were 17.8% and 88.9% for CA125, 31.5% and 100% for HE4, and 32.9% and 94.4% for ROMA.

CONCLUSIONS

We showed that HE4 had better specificity than CA125 in discriminating ovarian cancer, and endometrial cancer from benign gynecological diseases in southern China population.

A novel prognostic inflammation score predicts outcomes in patients with ovarian cancer

BACKGROUND

Systemic inflammation and host immunological nutritional status play important roles in the tumorigenesis of malignant cancer. A novel prognostic inflammation score (PIS) based on preoperative serum albumin and neutrophil to lymphocyte ratio (NLR) was designed. We explored its prognostic value in ovarian cancer.

METHODS

143 patients with ovarian cancer were enrolled in this retrospective study. The association of the PIS with clinicopathologic parameters was analyzed. The prognostic significance was determined by univariate and multivariate cox survival analyses.

RESULTS

Both univariate and multivariate analyses showed that NLR and albumin were independent prognostic factors for overall survival (OS) and progression-free survival (PFS). An inverse correlation was observed between the NLR and serum albumin concentration. The novel prognostic inflammation score (PIS) was shown to be a significant predictor for OS and PFS (both P<0.001) according to multivariate analysis. Additionally, low PIS was associated with advanced tumor stage (P<0.001), metastasis (P<0.001) and preoperative high PLR (P<0.001).

CONCLUSIONS

The PIS is a novel but promising prognostic score in ovarian cancer. It is a significant prognostic marker adjusted for clinicopathologic characteristics to further identify patients' survival differences.

MR imaging of ovarian masses: classification and differential diagnosis

OBJECTIVE

We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance.

BACKGROUND

Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient's management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution.

CONCLUSION

MRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis.

TEACHING POINTS

• Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient's management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration.

HE4, CA125 and risk of ovarian malignancy algorithm (ROMA) as diagnostic tools for ovarian cancer in patients with a pelvic mass: An Italian multicenter study

OBJECTIVE

This multicenter study aims to evaluate HE4, CA125 and risk of ovarian malignancy algorithm (ROMA) performance in the differential diagnosis of epithelial ovarian cancer (EOC).

METHODS

A total of 405 patients referred to gynecological oncologist with suspicious pelvic mass requiring a surgery for identification of EOC were consecutively enrolled; 387 patients satisfied inclusion criteria: 290 benign diseases; 15 borderline neoplasia and 82 tumors (73 EOC).

RESULTS

Good diagnostic performance in discriminating benign from EOC patients was obtained for CA125, HE4 and ROMA when calculating optimal cut-off values: premenopause, specificity (SP) >86.6, sensitivity (SN) >82.6, area under the curves (AUC)≥0.894; postmenopause, SP>93.2, SN>82, AUC≥0.928. Fixing SP at 98%, performance indicators obtained for benign vs EOC patients were: premenopause, SN:65.2%, positive predictive value (+PV): 75%, positive likelihood ratio (+LR): 26.4 for CA125; SN:69.6%, +PV:76.2%, +LR:28.1 for HE4; SN:69.6%, +PV: 80%; +LR:35.1 for ROMA; postmenopause, SN:88%, +PV: 95.7%, +LR:38.7 for CA125; SN:78%, +PV:95.1%, +LR:34.3 for HE4; SN:88%, +PV:97.8%, +LR:77.4 for ROMA. When using routine cut-off thresholds, ROMA showed better well-balanced values of both SP and SN (premenopause, SN:87%, SP:86.1%; postmenopause, SN:90%; SP:94.3%).

CONCLUSIONS

Overall, ROMA showed well balanced diagnostic performance to differentiate EOC from benign diseases. Meaningful differences of +PVs and +LRs between HE4 and CA125 suggest that the two markers may play at least in part different roles in EOC diagnosis, with HE4 seeming to be more efficient than CA125 in ruling in EOC patients in the disease group, also in early stages tumors, both in pre and postmenopause.

Can ROMA algorithm stratify ovarian tumor patients better when being based on specific age ranges instead of the premenopausal and postmenopausal status?

After several years of research, HE4 was found to be characterized by slightly worse sensitivity but significantly higher specificity as compared with CA125. Further studies led to the diagnostic potential of both markers (CA125 and HE4) being combined in a single risk of malignancy algorithm (ROMA) algorithm. The objective of this study was to assess the diagnostic capabilities of the ROMA algorithm using age ranges instead of dichotomization of patients according to the pre- and postmenopausal status. A total of 413 female patients were included in the study, including 162 premenopausal and 251 postmenopausal women. Calculation of the final ROMA values was achieved by means of stepwise reduction of coefficients in the proposed formula of: %ROMA = exp(PI)/[1-exp(PI)]*100) and PI = A + W(HE4)^*ln(HE4) + W(CA125)^*ln (CA125) and the arrangement of values with consideration to the age group, HE4 level, differentiation of modification, and directional coefficients as well as determination of individual deviations affecting the widening of the median. The cutoff value of modified algorithm ROMA P for the entire study population was calculated from receiver operating characteristic (ROC) curve and DeLong method at the levels of 23.5 %. Marked higher sensitivity and negative predictive value (NPV) values are observed for the standard ROMA algorithm while higher specificity and positive predictive value (PPV) values are observed for the modified algorithm ROMA P. The proposed age-related modification of algorithm calculation does not require the patients being dichotomized according to their pre- or postmenopausal status, and satisfactory diagnostic values may be obtained using a single cutoff point for the entire population.

Ovarian cancer: Ensuring early diagnosis

Ovarian cancer is the most fatal of all gynecologic malignancies. Despite the lack of a recommended screening test for ovarian cancer, NPs can identify risk factors, ensure patients are aware of subtle symptoms, and provide adequate testing and analysis of results.

The role of human epididymis protein 4 in the diagnosis of epithelial ovarian cancer

PURPOSE

Epithelial ovarian cancer is one of the most lethal female genital tract cancers. Early diagnosis of EOC would benefit the patients a lot. Human epididymis protein 4 (HE4) has been regarded as a new powerful biomarker in diagnosis of EOC; we hope to obtain system knowledge of HE4 and understand the role of HE4 in diagnosis of epithelial ovarian cancer (EOC).

METHODS

We searched Pubmed, Embase, Medline, and Chinese National Knowledge Infrastructure (CNKI) for articles that included HE4's origin, characteristics, detection methods, clinical efficacy alone or combined with CA125, the risk of malignancy index, and the risk of ovarian malignancy algorithm. The diagnostic performance for the EOC and the role in the recurrence and procession in EOC were also discussed.

RESULTS

We got 83 most related articles and found that there were significantly difference existing among the studies, such as the clinical characteristics of patients, the methodology for measuring HE4, the different cut-offs for HE4 and so on.

CONCLUSION

HE4 is a promising biomarker for the early diagnosis of EOC. However, each lab should establish its own reference internal of HE4.

Accuracy of serum human epididymis protein 4 in ovarian cancer diagnosis: a systematic review and meta-analysis

OBJECTIVE

A systematic review was performed to estimate the accuracy of human epididymis protein 4 (HE4) assay in the diagnosis of ovarian tumors.

METHODS

A comprehensive search of the MEDLINE (PubMed), EMBASE, Cochrane Central Register of Controlled Trials, IBECS, BIOSIS, Web of Science, SCOPUS, congress abstracts, and Grey literature (Google scholar; British Library) from January 1990 to April 2013 was conducted. Studies that evaluated HE4 levels for the diagnosis of ovarian tumors and compared them with paraffin-embedded sections as the diagnostic standard were included.

RESULTS

Forty-five studies were analyzed, which included 10,671 women and 3946 ovarian cancer cases. The pooled sensitivity for the diagnosis of borderline tumors or ovarian cancer was 78% (95% confidence interval, 77%-79%), and the specificity was 86% (95% confidence interval, 85%-87%). Summary receiver operating characteristic curves were constructed. For malignant and borderline ovarian tumors versus benign lesions, the area under the curve was 0.916. Besides the overall analysis, stratification was performed in premenopause and postmenopause, early and late stages, and for accuracy by enzyme-linked immunosorbent assay and chemiluminescence microparticle immuno assay.

CONCLUSIONS

A HE4 level is a useful preoperative test for predicting the benign or malignant nature of pelvic masses.

HE4 in the differential diagnosis of ovarian masses

Ovarian masses, a common finding among pre- and post-menopausal women, can be benign or malignant. Ovarian cancer is the leading cause of death from gynecologic malignancy among women living in industrialized countries. According to the current guidelines, measurement of CA125 tumor marker remains the gold standard in the management of ovarian cancer. Recently, HE4 has been proposed as emerging biomarker in the differential diagnosis of adnexal masses and in the early diagnosis of ovarian cancer. Discrimination of benign and malignant ovarian tumors is very important for correct patient referral to institutions specialized in care and management of ovarian cancer. Tumor markers CA125 and HE4 are currently incorporated into the "Risk of Ovarian Malignancy Algorithm" (ROMA) with menopausal status for discerning malignant from benign pelvic masses. The availability of a good biomarker such as HE4, closely associated with the differential and early diagnosis of ovarian cancer, could reduce medical costs related to more expensive diagnostic procedures. Finally, it is important to note that HE4 identifies platinum non-responders thus enabling a switch to second line chemotherapy and improved survival.

Usefulness of diagnostic indices comprising clinical, sonographic, and biomarker data for discriminating benign from malignant ovarian masses

The objective of this study was to review the accuracy of indices combining several diagnostic variables, in comparison to other models, sonography alone, and biomarker assays, for predicting benign or malignant ovarian lesions. Different single modalities were reviewed. The most useful complex models were International Ovarian Tumor Analysis (IOTA) sonographic logistic regression model 2 (area under the curve, 0.949), risk of malignancy index-cancer antigen 125-human epididymis protein 4 (0.950), risk of malignancy algorithm (0.953), pelvic mass score (0.960), non-IOTA logistic regression model (0.970), and histoscanning score logistic regression model (0.970). None of the indices was superior to an expert subjective sonographic assessment (0.968). For women with adnexal tumors, indices with high accuracy are available that are applicable in clinical practice and comparable to an expert subjective sonographic assessment for discriminating benign from malignant masses.

Towards an evidence-based approach for diagnosis and management of adnexal masses: findings of the International Ovarian Tumour Analysis (IOTA) studies

Whilst the outcomes for patients with ovarian cancer clearly benefit from centralised, comprehensive care in dedicated cancer centres, unfortunately the majority of patients still do not receive appropriate specialist treatment. Any improvement in the accuracy of current triaging and referral pathways whether using new imaging tests or biomarkers would therefore be of value in order to optimise the appropriate selection of patients for such care. An analysis of current evidence shows that such tests are now available, but still await recognition, acceptance and widespread adoption. It is therefore to be hoped that present guidance relating to the classification of ovarian masses will soon become more "evidence-based". These promising tests include the International Ovarian Tumour Analysis (IOTA) LR2 model and ultrasound-based Simple Rules (SR). Based on a comprehensive recent meta-analysis both currently offer the optimal "evidence-based" approach to discriminating between cancer and benign conditions in women with adnexal tumours needing surgery. LR2 and SR are reliable tests having been shown to maintain a high sensitivity for cancer after independent external and temporal validation by the IOTA group in the hands of examiners with various levels of ultrasound expertise. They also offer more accurate triage compared to the existing Risk of Malignancy Index (RMI). The development of the IOTA ADNEX model represents an important step forward towards more individualised patient care in this area. ADNEX is a novel test that enables the more specific subtyping of adnexal cancers (i.e. borderline, stage 1 invasive, stage II-IV invasive, and secondary metastatic malignant tumours) and shares similar levels of accuracy to IOTA LR2 and SR for basic discrimination between cancer and benign disease. The IOTA study has made significant progress in relation to the classification of adnexal masses, however what is now needed is to see if these or new diagnostic tools can assist clinicians to select patients with adnexal masses that are suitable for expectant management, and that will work in all health care settings (i.e. primary vs secondary vs tertiary care). These important themes will likely control the future agenda of the IOTA project.

Development of a multimarker assay for differential diagnosis of benign and malignant pelvic masses

BACKGROUND

HE4, a novel tumor marker for detecting ovarian cancer, has been recently applied to clinical practice. However, the comprehensive evaluation of HE4 combined with other markers is still missing. We evaluated an optimal mode of HE4 employment for differential diagnosis of benign and malignant pelvic masses.

METHODS

Serum HE4, CA125, CA153, CA199, CA211 and CA724 were measured from 232 patients with pelvic messes (100 malignant masses, 132 benign diseases), and the risk of ovarian malignancy algorithm (ROMA) was also calculated. Receiver operating characteristic curves (ROC), the area under the curve (AUC), sensitivity and specificity were estimated.

RESULTS

The combination of HE4 and CA125 (AUC of 0.963, sensitivity of 96.6%, specificity of 65.7%) provided the best differential power in diagnosing ovarian cancer. ROMA performed better in the diagnosis of pelvic masses (AUC of 0.917, sensitivity of 82.0%, specificity of 78.8%) and uterine cancer (AUC of 0.838, sensitivity of 82.0%, specificity of 60.0%) compared with applying HE4 and CA125 individually.

CONCLUSION

The optimal cut-off values (CA125: 93.2U/ml, HE4: 87.6 pmol/l, ROMA: 18.1% for pre- and 31.5% for postmenopausal women), simultaneous use of CA125 and HE4 complemented by ROMA showed better performance than the traditional detection modes for differential diagnosis of ovarian cancer. We also observed that ROMA added more accuracy for differentiating the benign and malignant pelvic masses and auxiliary diagnosis of uterine cancer.

Evaluation of human epididymis protein 4 (HE4) and Risk of Ovarian Malignancy Algorithm (ROMA) as diagnostic tools of type I and type II epithelial ovarian cancer in Japanese women

Human epididymis protein 4 (HE4) levels and the Risk of Ovarian Malignancy Algorithm (ROMA) have recently been shown to improve the sensitivity and specificity of epithelial ovarian cancer (EOC) diagnosis. We evaluated HE4 levels and ROMA as diagnostic tools of type I and type II EOC in Japanese women. Women who had a pelvic mass on imaging and were scheduled to undergo surgery were enrolled as ovarian mass patients. Serum levels of carbohydrate antigen 125 (CA125) and HE4 were tested in 319 women (131 benign, 19 borderline, 75 malignant, and 94 healthy controls). CA125, HE4, and ROMA were evaluated for sensitivity and by receiver operating characteristics (ROC) in type I and type II EOC. The results showed that, at 75% specificity, the sensitivity of CA125 and HE4 for type II was 92.1% for both markers and for type I was 51.5% and 78.8%, respectively. The sensitivities of ROMA (type I, 84.8% and type II, 97.4%) were better than those of CA125 and HE4. CA125, HE4, and ROMA were all highly accurate markers for type II. For type I, HE4 and ROMA showed better sensitivity than CA125. ROMA displayed the best diagnostic power for type I and type II including for the early stage of type I. In conclusion, HE4, CA125, and ROMA are valuable markers for type II EOC diagnosis. HE4 and ROMA analyses may improve differentiation between type I EOC and a benign mass. Measurement of combined HE4 and CA125 levels provides a more accurate method for EOC diagnosis.

Distinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings

Objective

The purpose of this study was to develop a risk prediction score for distinguishing benign ovarian mass from malignant tumors using CA-125, human epididymis protein 4 (HE4), ultrasound findings, and menopausal status. The risk prediction score was compared to the risk of malignancy index and risk of ovarian malignancy algorithm (ROMA).

Methods

This was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass upon imaging and were scheduled to undergo surgery. Serum CA-125 and HE4 were measured on preoperative samples, and ultrasound findings were recorded. Regression analysis was performed and a risk prediction model was developed based on the significant factors. A bootstrap technique was applied to assess the validity of the HE4 model.

Results

A total of 414 women with a pelvic mass were enrolled in the study, of which 328 had documented ultrasound findings. The risk prediction model that contained HE4, menopausal status, and ultrasound findings exhibited the best performance compared to models with CA-125 alone, or a combination of CA-125 and HE4. This model classified 77.2% of women with ovarian cancer as medium or high risk, and 86% of women with benign disease as very-low, low, or medium-low risk. This model exhibited better sensitivity than ROMA, but ROMA exhibited better specificity. Both models performed better than CA-125 alone.

Conclusion

Combining ultrasound with HE4 can improve the sensitivity for detecting ovarian cancer compared to other algorithms.

Prognostic Value of Serum HE4 Levels and Risk of Ovarian Malignancy Algorithm Scores at the Time of Ovarian Cancer Diagnosis

Objectives

The aim of this study is to assess whether the pretreatment serum HE4 levels or the Risk of Ovarian Malignancy Algorithm (ROMA) scores at the time of initial diagnosis are associated with progression-free survival (PFS) and disease-specific survival (DSS) in patients with ovarian cancer receiving either primary debulking surgery or neoadjuvant chemotherapy followed by interval debulking surgery.

Methods

A survival analysis of 101 cases of invasive ovarian cancer recruited in a previous diagnostic accuracy study was conducted from 2005 to 2009 at the University Hospital KU Leuven, Belgium. Serum HE4 levels (pM) and ROMA scores (%) were obtained before primary treatment. Dates of death were obtained by record linkage with patient hospital files. Progression was evaluated according to the Response Evaluation Criteria in Solid Tumors. Adjusted hazards ratios (HRs) were estimated using multivariable Cox regression.

Results

Eighty patients (79%) with invasive ovarian cancer underwent primary debulking surgery, whereas 21 (21%) received neoadjuvant chemotherapy. The median DSS was 3.72 years (95% confidence interval [CI], 3.19–4.07). Fifty-two patients (51%) died of disease, and 74 patients (73%) had progressive disease during follow-up. On univariable analysis, elevated pretreatment HE4 levels and ROMA scores were related to worse prognosis. However, after the adjustment for classic prognostic variables, HE4 levels (log2-transformed) and ROMA scores were unrelated to DSS (log-2 HE4: adjusted HR, 1.01; 95% CI, 0.84–1.21 and ROMA: adjusted HR per 10% increase, 0.96; 95% CI, 0.84–1.12) and PFS (log-2 HE4: adjusted HR, 0.98; 95% CI, 0.84–1.13 and ROMA: adjusted HR per 10% increase, 0.98; 95% CI, 0.88–1.11).

Conclusions

Pretreatment HE4 levels and ROMA scores are not independent prognostic factors for DSS and PFS after multivariable adjustment in patients with ovarian cancer.

Cancer antigen 125, human epididymis 4, kallikrein 6, osteopontin and soluble mesothelin-related peptide immunocomplexed with immunoglobulin M in epithelial ovarian cancer diagnosis

BACKGROUND

Human epididymis protein 4 (HE4), kallikrein 6 (KLK6), osteopontin (OPN) and soluble mesothelin-related peptide (SMRP) are new promising biomarkers that could integrate CA125 in epithelial ovarian cancer (EOC) diagnosis. The autoantibody response to tumor antigens is a potential tool for improving the diagnostic performances of biomarkers. The aim of this study was to assess the diagnostic potential of these biomarkers in the form of free markers and immunocomplexed with immunoglobulin M (IgM). Moreover, we analyzed the association between these markers and clinico-pathological characteristics of EOC patients.

METHODS

Serum and plasma samples of 60 healthy controls, 60 ovarian benign cysts, 60 endometriosis and 60 EOCs, collected before any treatment, were tested for CICs and free antigens by immunoassays.

RESULTS

Immunocomplexes were characterized by poor sensitivity and specificity, since they allowed the detection only of a small number of EOC patients and were increased in patients with benign gynecological pathologies. However, the markers in the form of free antigens showed good diagnostic performances. Of note, CA125 and HE4 showed high sensitivity in the detection of the malignancy and HE4 emerged as a useful biomarker in differential diagnosis between EOC and endometriosis. Finally, elevated KLK6 and OPN, were associated with advanced FIGO stage, high grade disease, suboptimally debulked tumor and ascites.

CONCLUSIONS

This study confirms the diagnostic role of CA125, HE4, KLK6, OPN and SMRP, and for the first time showed that CA125, HE4, KLK6, OPN and SMRP immunocomplexed with IgM are not a potential tool for EOC diagnosis.

HE4, Ca125 and ROMA algorithm for differential diagnosis between benign gynaecological diseases and ovarian cancer

The aim of this study is to evaluate the diagnostic performance of human epididymis protein 4 (HE4), cancer antigen 125 (Ca125) and the risk of ovarian malignancy algorithm (ROMA) in discriminating ovarian cancer from other benign gynaecological diseases. Serum levels of HE4 and Ca125 were measured in 119 women with benign gynaecological diseases, 29 patients with primary ovarian cancer, 32 patients with ovarian cancer on chemotherapy treatment (18 of them with progressive disease), 6 patients treated and free of disease and 32 healthy women. Sensitivity, specificity, positive and negative predictive values and positive and negative likelihood ratios (LR ±) were calculated. Receiver operator characteristic (ROC) curves were constructed, and the areas under the curve (AUC) were calculated. High serum levels for HE4, Ca125 and ROMA were observed in cancer patients. HE4 was elevated in 12.6 %, Ca125 in 21 % and ROMA in 9.2 % in the benign group, but HE4 was not elevated in endometriosis. The AUC values for HE4, Ca125 and ROMA were 0.92, 0.911 and 0.945 respectively. The sensitivity for discriminating ovarian cancer from benign gynaecological diseases was 86.2 % for HE4 and Ca125 and 93.1 % for ROMA. The specificity was 87.4, 78.9 and 90.7 % for HE4, Ca125 and ROMA. The overall positive likelihood ratio (LR+) was 6.84 for HE4, 4.1 for Ca125 and 10.01 for ROMA. In premenopausal women, LR + was 11.86 for HE4, 5.11 for ROMA and 2.02 for Ca125. HE4 might be significant in the differential diagnosis of ovarian cancer. HE4 seems to be superior to Ca125 in terms of diagnostic performance of all premenopausal women. ROMA could help to discriminate in cases with any doubt with a high diagnostic accuracy.

Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis

BACKGROUND Characterizing ovarian pathology is fundamental to optimizing management in both pre- and post-menopausal women. Inappropriate referral to oncology services can lead to unnecessary surgery or overly radical interventions compromising fertility in young women, whilst the consequences of failing to recognize cancer significantly impact on prognosis. By reflecting on recent developments of new diagnostic tests for preoperative identification of malignant disease in women with adnexal masses, we aimed to update a previous systematic review and meta-analysis. METHODS An extended search was performed in MEDLINE (PubMed) and EMBASE (OvidSp) from March 2008 to October 2013. Eligible studies provided information on diagnostic test performance of models, designed to predict ovarian cancer in a preoperative setting, that contained at least two variables. Study selection and extraction of study characteristics, types of bias, and test performance was performed independently by two reviewers. Quality was assessed using a modified version of the QUADAS assessment tool. A bivariate hierarchical random effects model was used to produce summary estimates of sensitivity and specificity with 95% confidence intervals or plot summary ROC curves for all models considered. RESULTS Our extended search identified a total of 1542 new primary articles. In total, 195 studies were eligible for qualitative data synthesis, and 96 validation studies reporting on 19 different prediction models met the predefined criteria for quantitative data synthesis. These models were tested on 26 438 adnexal masses, including 7199 (27%) malignant and 19 239 (73%) benign masses. The Risk of Malignancy Index (RMI) was the most frequently validated model. The logistic regression model LR2 with a risk cut-off of 10% and Simple Rules (SR), both developed by the International Ovarian Tumor Analysis (IOTA) study, performed better than all other included models with a pooled sensitivity and specificity, respectively, of 0.92 [95% CI 0.88-0.95] and 0.83 [95% CI 0.77-0.88] for LR2 and 0.93 [95% CI 0.89-0.95] and 0.81 [95% CI 0.76-0.85] for SR. A meta-analysis of centre-specific results stratified for menopausal status of two multicentre cohorts comparing LR2, SR and RMI-1 (using a cut-off of 200) showed a pooled sensitivity and specificity in premenopausal women for LR2 of 0.85 [95% CI 0.75-0.91] and 0.91 [95% CI 0.83-0.96] compared with 0.93 [95% CI 0.84-0.97] and 0.83 [95% CI 0.73-0.90] for SR and 0.44 [95% CI 0.28-0.62] and 0.95 [95% CI 0.90-0.97] for RMI-1. In post-menopausal women, sensitivity and specificity of LR2, SR and RMI-1 were 0.94 [95% CI 0.89-0.97] and 0.70 [95% CI 0.62-0.77], 0.93 [95% CI 0.88-0.96] and 0.76 [95% CI 0.69-0.82], and 0.79 [95% CI 0.72-0.85] and 0.90 [95% CI 0.84-0.94], respectively. CONCLUSIONS An evidence-based approach to the preoperative characterization of any adnexal mass should incorporate the use of IOTA Simple Rules or the LR2 model, particularly for women of reproductive age.

Biomarker testing for ovarian cancer: clinical utility of multiplex assays

The improved detection of ovarian cancer at the earliest stages of development would confer a significant benefit in the therapeutic efficacy and overall survival associated with this devastating disease. The inadequate performance of currently used imaging modalities and the CA 125 biomarker test have precluded the establishment of screening programs and hindered the development of diagnostic tests for ovarian cancer. Two recently completed large clinical trials of ovarian cancer screening have reported findings of mixed impact, further clouding the issue. Considerable effort has been applied to the development of multiplexed biomarker-based tests and the most recent advances are discussed here. Within the clinical setting of pelvic mass differential diagnosis and triage, several significant advancements have been achieved recently, including the US Food and Drug Administration-approved Risk of Ovarian Malignancy Algorithm and OVA1 tests. The development and evaluation of those tests are described in this review. Thus while effective routine screening for ovarian cancer remains a lofty goal, advancement within the clinical management of pelvic mass diagnoses appears to be near at hand.

Is serum human epididymis protein 4 ready for prime time?

The National Institute for Health and Clinical Excellence (NICE) guidelines have sparked hot debate regarding the role of carbohydrate antigen 125 (CA-125) for ovarian cancer (OC) detection. Recent literature and evidence calls into question the use of CA-125 in diagnostic algorithms, given the better performance of human epididymis protein 4 (HE4) vs. CA-125 to rule OC. This is an important consideration since combined measurements are not cost-effective. The quality of this evidence is, however, threatened by important gaps related to study design, enrolled populations and analytical issues. For instance, despite the clinical need to prioritize the evaluation of biomarker performance in early stage tumours, sound evidence on this cannot be provided. In addition, results should be cautiously interpreted due to wide differences in the type of employed assays and in adopted diagnostic thresholds for HE4. Comparability among results obtained by different commercially available HE4 assays, together with an objective establishment of analytical goals is essential for the optimal clinical application of this marker.

Clinical value of serum human epididymis protein 4 assay in the diagnosis of ovarian cancer: a meta-analysis

Objective

Human epididymis protein 4 (HE4) has been approved for diagnosing ovarian cancer. The goal of this meta-analysis was to evaluate the clinical value of the serum HE4 in the diagnosis of ovarian cancer.

Methods

The PubMed and Embase databases were searched to identify suitable studies. The sensitivity (SEN), specificity (SPE), and positive and negative likelihood ratios (PLR and NLR, respectively) of HE4 for the diagnosis of ovarian cancer were commonly used as bivariates. Summary receiver operating characteristic curves were used to summarize overall test performances. Meta-Disc 1.4 software was used to analyze the data.

Results

A total of 6,269 patients from 31 trials were subjected to meta-analysis. The summary estimates of HE4 for ovarian cancer diagnosis were as follows: SEN 0.73 (95% confidence interval [CI] 0.71–0.75); SPE 0.89 (95% CI 0.88–0.90); PLR 7.30 (95% CI 5.42–9.84); and NLR 0.15 (95% CI 0.10–0.23). SEN 0.74 (95% CI 0.72–0.76); SPE 0.89 (95% CI 0.88–0.90); PLR 7.35 (95% CI 5.55–9.73); NLR 0.14 (95% CI 0.09–0.21).

Conclusion

Our study demonstrates that the sensitivity and specificity of HE4 was higher than that of cancer antigen 125. The results indicated that HE4 could be a useful tumor marker for ovarian cancer diagnosis. However, the results of this meta-analysis should be interpreted with caution, due to the heterogeneity among study designs. Further study should pay more attention to the possibility that HE4 can be a marker for monitoring recurrence of ovarian cancer.

HE4 in gynecological cancers: report of a European investigators and experts meeting

The HE4 protein, which belongs to the “ four disulfi de ” acid protein group, has emerged as one of the most promising biomarkers in gynecologic oncology. An expert meeting on the analytical and clinical performance of the quantitative determination of HE4 was held in November 2011, involving 25 clinical and laboratory specialists from 16 European countries.The aim of the meeting was to present and discuss the results of recent studies on the use of HE4 and on the Risk of Ovarian Malignancy Algorithm (ROMA), which combines the results of HE4 and CA 125. The meeting was structured in separate sessions focusing on ovarian cancer risk stratification, differential diagnosis, prognosis and monitoring and with diagnosis and monitoring of endometrial cancer. We present here a summary of the data and evidence, presented, together with consensus statements on the different topics, where available,and suggestions for further studies and evaluations required to establish optimal use of HE4, either alone or in combination with other markers, for diagnostic and prognostic purposes in gynecological malignancies. Available evidences support the utility of this new cancer biomarker for risk stratification,prognosis and monitoring of epithelial ovarian cancer and of endometrial cancer.

The emerging role of HE4 in the evaluation of epithelial ovarian and endometrial carcinomas

HE4 (human epididymis protein 4) is overexpressed in both ovarian and endometrial cancers. Levels of the shed HE4 protein are elevated in sera from ovarian and endometrial cancer patients. HE4 is less frequently elevated than cancer antigen 125 (CA 125) in benign gynecologic conditions and is found in a fraction of endometrial and ovarian cancers that lack CA 125 expression. Consequently, HE4 has emerged as an important biomarker that complements CA 125 in discriminating between benign and malignant pelvic masses, monitoring response to treatment, and detecting recurrences of both ovarian and endometrial cancer. The "risk of ovarian malignancy algorithm" (ROMA) incorporates CA 125, HE4, and menopausal status to distinguish benign from malignant adnexal masses, and has been approved by the US Food and Drug Administration to aid in referring patients who are likely to have ovarian cancer to specially trained gynecologic oncologists for surgery. HE4 also promises to augment the sensitivity of CA 125 for detecting early-stage ovarian cancer. In this review, we discuss the discovery and biologic significance of HE4 and evaluate available evidence regarding the utility of HE4 as a biomarker for ovarian and endometrial cancer.

The prognostic and predictive value of combined HE4 and CA-125 in ovarian cancer patients

OBJECTIVE

A risk-of-ovarian-malignancy algorithm (ROMA) based on human epididymis protein 4 (HE4) and CA-125 has been reported to categorize women with a pelvic mass into high or low risk of ovarian malignancy. Originally, the ROMA score was developed for diagnostic purposes and the clinical application of HE4 for other purposes such as a predictor of survival or platinum resistance has not been extensively investigated. The objective of the present study was to evaluate the prognostic importance of prechemotherapy combined levels of HE4 and CA-125 and prediction of platinum resistance. Furthermore, we wanted to investigate the dynamics of the markers during treatment.

MATERIALS AND METHODS

Serum from 137 patients with newly diagnosed serous ovarian cancer was analyzed for CA-125 and HE4 using ELISAs in a training data set. Patients with high levels (upper third percentiles) of both HE4 and CA-125 were classified as high-risk patients. Data were validated in an independent data set of an additional 94 patients. HE4 and CA-125 were also analyzed at all cycles of subsequent chemotherapy.

RESULTS

The combined score of HE4 and CA-125 was highly predictive of both progression-free and overall survival in univariate as well as multivariate survival analysis. Values in the upper third percentiles (66th) were significantly associated with decreased progression-free and overall survival in both the training and in the validation set (P < 0.05 in all analyses).The positive predictive value in relation to platinum resistance was higher for the combination of markers than for the markers individually. The positive predictive values were 64.3% and 60.7% for combined CA-125/HE4 in the training and validation sets, respectively.

CONCLUSIONS

The combination of HE4 and CA-125 levels at baseline just before initiation of chemotherapy was significantly associated with decreased progression-free and overall survival and to some extent with platinum resistance.

Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques

Early detection of ovarian cancer remains crucial for improving patient survival rates. However, early-stage disease is often asymptomatic, and population screening is currently unproven. Adnexal masses may be incidentally detected, but most are identified at ultrasonography (US) in patients who are symptomatic, and most may be characterized as benign or malignant. Indices are available to estimate the risk of malignancy on the basis of clinical and US findings. However, adnexal masses remain indeterminate in some cases, with some benign lesions demonstrating features of malignancy at US. In these cases, use of magnetic resonance (MR) imaging improves the ability to characterize adnexal masses and reduces the number of indeterminate lesions. Establishing the likelihood of malignancy on the basis of imaging features is important to the preoperative detection of early ovarian cancer and profoundly influences referral and management pathways. Conventional and contrast material-enhanced MR imaging are used to evaluate morphologic features, including lesion complexity, signal intensity, and enhancement of solid areas. At dynamic contrast-enhanced MR imaging with semiquantitative analysis, early enhancement characteristics may help differentiate some complex benign and malignant lesions. Diffusion-weighted imaging has a limited but useful role in evaluating adnexal masses: Those with a hypointense solid area on both diffusion-weighted (b = 1000 sec/mm²) and T2-weighted images are likely benign, whereas those that are hyperintense on diffusion-weighted images (b = 1000 sec/mm²) with intermediate signal intensity on T2-weighted images are likely malignant.

Differentiating stage 1 epithelial ovarian cancer from benign ovarian tumours using a combination of tumour markers HE4, CA125, and CEA and patient's age

OBJECTIVE

Evaluating the presence of possible malignant disease in women with ovarian masses relies on medical imaging and serum marker findings. This study considers the role of serum Human Epididymal Protein 4 (HE4) antigen in combination with other serum markers to more effectively estimate the risk of malignancy in patients with isolated pelvic masses.

METHODS

We used prospectively collected biospecimens held by the Australian Ovarian Cancer Study (AOCS). Serum samples of patients with FIGO stage 1 epithelial ovarian cancer or with a benign condition were analysed for levels of circulating HE4 antigen, CA 125, and CEA, and test results were used to predict the presence of malignancy and to differentiate benign from malignant pelvic masses.

RESULTS

HE4 levels were significantly elevated amongst postmenopausal women and amongst patients with malignancy compared to premenopausal women and those with benign disease (p<0.001 for both). The combination of CA125 and age, achieved an area under the ROC curve of 0.677 (95% CI: 0.584 to 0.770, p=0.778), whilst HE4+CA125+CEA in combination with patient's age showed significantly higher AUC of 0.797 (95% CI: 0.721 to 0.874, p=0.0052). By adjusting the ROMA cut-off values the percentage of correctly classified premenopausal patients into low and high risk groups increased from 36.99% to 69.86%.

CONCLUSIONS

In patients with isolated pelvic masses, the combination of HE4, CA 125 and age with or without CEA provides higher diagnostic value compared to CA125 and age alone. It may therefore be considered for continuous evaluation in patients with adnexal masses.

A comparison between an ultrasound based prediction model (LR2) and the risk of ovarian malignancy algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass

OBJECTIVE

The identification of novel biomarkers led to the development of the ROMA algorithm incorporating both HE4 and CA125 to predict malignancy in women with a pelvic mass. An ultrasound based prediction model (LR2) developed by the International Ovarian Tumor Analysis (IOTA) study offers better diagnostic performance than CA125 alone. In this study we compared the diagnostic accuracy between LR2 and ROMA.

METHODS

This study included women with a pelvic mass scheduled for surgery and enrolled in a previous prospective diagnostic accuracy study. Experienced ultrasound examiners, general gynecologists and trainees supervised by one of the experts performed the preoperative transvaginal ultrasound examinations. Serum biomarkers were taken prior to surgery. Accuracy of LR2 and ROMA was estimated at completion of this study and did not form part of the decision making process. Final outcome was histology of removed tissues and surgical stage if relevant.

RESULTS

In total 360 women were evaluated. 216 women had benign disease and 144 a malignancy. Overall test performance of LR2 (AUC 0.952) with 94% sensitivity and 82% specificity was significantly better than ROMA (AUC 0.893) with 84% sensitivity and 80% specificity. Difference in AUC was 0.059 (95% CI: 0.026-0.091; P-value 0.0004). Similar results were obtained when stratified for menopausal status.

CONCLUSION

LR2 shows a better diagnostic performance than ROMA for the characterization of a pelvic mass in both pre- and postmenopausal women. These findings suggest that HE4 and CA125 may not play an important role in the diagnosis of ovarian cancer if good quality ultrasonography is available.

Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies

In order to ensure that ovarian cancer patients access appropriate treatment to improve the outcome of this disease, accurate characterization before any surgery on ovarian pathology is essential. The International Ovarian Tumor Analysis (IOTA) collaboration has standardized the approach to the ultrasound description of adnexal pathology. A prospectively collected large database enabled previously developed prediction models like the risk of malignancy index (RMI) to be tested and novel prediction models to be developed and externally validated in order to determine the optimal approach to characterize adnexal pathology preoperatively. The main IOTA prediction models (logistic regression model 1 (LR1) and logistic regression model 2 (LR2)) have both shown excellent diagnostic performance (area under the curve (AUC) values of 0.96 and 0.95, respectively) and outperform previous diagnostic algorithms. Their test performance almost matches subjective assessment by experienced examiners, which is accepted to be the best way to classify adnexal masses before surgery. A two-step strategy using the IOTA simple rules supplemented with subjective assessment of ultrasound findings when the rules do not apply, also reached excellent diagnostic performance (sensitivity 90%, specificity 93%) and misclassified fewer malignancies than did the RMI. An evidence-based approach to the preoperative characterization of ovarian and other adnexal masses should include the use of LR1, LR2 or IOTA simple rules and subjective assessment by an experienced examiner.

The use of HE4 in the prediction of ovarian cancer in Asian women with a pelvic mass

OBJECTIVE

The purpose of this study was to evaluate the performance of human epididymis protein 4 (HE4) and the Risk of Ovarian Malignancy Algorithm (ROMA) for distinguishing between benign and malignant pelvis masses in Asian women.

METHODS

This was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass on imaging and were scheduled to undergo surgery. Serum CA125 and HE4 were measured on preoperative samples. CA125, HE4, and ROMA were evaluated for sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).

RESULTS

A total of 414 women with an adnexal mass were evaluated, of which 65 had epithelial ovarian (EOC) cancer, 16 had borderline tumors and 11 had other malignant diseases. Compared to CA125, HE4 had lower sensitivity (56.9% vs 90.8%) and NPV (91.8% vs 97.3%), but improved specificity (96.9% vs 67.1%) and PPV (78.7% vs 35.8%) for differentiating between benign pelvic mass and EOC. ROMA had similar sensitivity (89.2% vs 90.8%) and NPV (97.6% vs 97.3%) as CA125, but showed improved specificity (87.3% vs 67.1%) and PPV (58.6% vs 35.8%). ROMA accurately predicted 87.3% of benign cases as low risk, and 82.6% of stage I/II EOC and 89.2% of all EOC as high risk.

CONCLUSION

ROMA showed similar sensitivity as CA125 but improved specificity and PPV, especially in premenopausal women. Using ROMA may help predict if a pelvic mass is benign or malignant and facilitate subsequent management planning.

From bench to bedside: discovery of ovarian cancer biomarkers using high-throughput technologies in the past decade

Ovarian cancer is the most lethal gynecological malignancy and survival of this disease has remained relatively unchanged over the past 30 years. A contributing factor to this has been the lack of reliable biomarkers for the clinical management of ovarian cancer. Rapid advances in high-throughput technologies over the past decade has allowed for new and exciting opportunities for biomarker discovery in the field of ovarian cancer, especially with respect to serum biomarkers that can be used for various clinical applications. This review highlights the major genomic and proteomic studies dedicated to ovarian cancer biomarker discovery over the past decade. An emphasis will be placed on the HE4, Risk of Malignancy Algorithm (ROMA) and OVA1™ serum-based tests/algorithms that have recently been approved by the US FDA as ovarian cancer biomarkers.

Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and CA125 in predicting epithelial ovarian cancer: a meta-analysis

BACKGROUNDS

Risk for Ovarian Malignancy Algorithm (ROMA) and Human epididymis protein 4 (HE4) appear to be promising predictors for epithelial ovarian cancer (EOC), however, conflicting results exist in the diagnostic performance comparison among ROMA, HE4 and CA125.

METHODS

Remote databases (MEDLINE/PUBMED, EMBASE, Web of Science, Google Scholar, the Cochrane Library and ClinicalTrials.gov) and full texts bibliography were searched for relevant abstracts. All studies included were closely assessed with the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2). EOC predictive value of ROMA was systematically evaluated, and comparison among the predictive performances of ROMA, HE4 and CA125 were conducted within the same population. Sensitivity, specificity, DOR (diagnostic odds ratio), LR ± (positive and negative likelihood ratio) and AUC (area under receiver operating characteristic-curve) were summarized with a bivariate model. Subgroup analysis and sensitivity analysis were used to explore the heterogeneity.

RESULTS

Data of 7792 tests were retrieved from 11 studies. The overall estimates of ROMA for EOC predicting were: sensitivity (0.89, 95% CI 0.84-0.93), specificity (0.83, 95% CI 0.77-0.88), and AUC (0.93, 95% CI 0.90-0.95). Comparison of EOC predictive value between HE4 and CA125 found, specificity: HE4 (0.93, 95% CI 0.87-0.96) > CA125 (0.84, 95% CI 0.76-0.90); AUC: CA125 (0.88, 95% CI 0.85-0.91) > HE4 (0.82, 95% CI 0.78-0.85). Comparison of OC predictive value between HE4 and CA125 found, AUC: CA125 (0.89, 95% CI 0.85-0.91) > HE4 (0.79, 95% CI 0.76-0.83). Comparison among the three tests for EOC prediction found, sensitivity: ROMA (0.86, 95%CI 0.81-0.91) > HE4 (0.80, 95% CI 0.73-0.85); specificity: HE4 (0.94, 95% CI 0.90-0.96) > ROMA (0.84, 95% CI 0.79-0.88) > CA125 (0.78, 95%CI 0.73-0.83).

CONCLUSIONS

ROMA is helpful for distinguishing epithelial ovarian cancer from benign pelvic mass. HE4 is not better than CA125 either for EOC or OC prediction. ROMA is promising predictors of epithelial ovarian cancer to replace CA125, but its utilization requires further exploration.

Evaluation of pleural fluid human epididymis 4 (HE4) as a marker of malignant pleural effusion

Pleural effusion is a commonly encountered problem in clinical practice, and pleural fluid analysis is usually the first step towards identifying the underlying etiology. Numerous studies have been published analyzing the potential utility of measuring biomarkers in pleural fluid as possible indicators of a malignant effusion; however, there are no studies that have examined the presence of human epididymis 4 (HE4) in pleural effusions. The aims of this study were to assess pleural effusion and serum concentrations of HE4 in patients with different types of pleural effusions and to evaluate the diagnostic performance of HE4 in detecting malignant pleural effusion. A prospective cohort study was carried out of 88 consecutive patients presenting with pleural effusions. The patients were divided into three groups: 22 patients with transudative effusions, 32 patients with non-malignant exudative effusions, and 34 patients with malignant pleural effusions. Blood and pleural fluid HE4 levels were measured using immunoassay. Both serum HE4 levels and pleural effusion HE4 levels were significantly higher in patients with malignant effusions than in patients with transudative or non-malignant exudative effusions. A pleural fluid HE4 cutoff value of 1,675 pmol/L was found to predict malignant pleural effusions with a diagnostic sensitivity of 85.3 % and specificity of 90.7 %. The current study reports a novel finding of increased serum and pleural fluid HE4 levels in patients with malignant effusions compared to non-malignant effusions. This finding has the potential to strengthen the diagnostic performance of tumor markers in detecting malignant pleural effusions.

Differential diagnosis of a pelvic mass: improved algorithms and novel biomarkers

More than 200,000 women undergo exploratory surgery for a pelvic mass in the United States each year and 13%-21% of pelvic lesions are found to be malignant. Individual reports and meta-analysis indicate better outcomes when cancer surgery is performed by gynecologic oncologists. Despite the advantages provided by more thorough staging and cytoreductive surgery, only 30%-50% of women with ovarian cancer are referred to surgeons with specialized training in the United States. Imaging, menopausal status and biomarkers can aid in distinguishing malignant from benign pelvic masses to inform decisions regarding appropriate referral. The risk of malignancy index (RMI) uses ultrasound, menopausal status and CA125 and has been utilized in the United Kingdom for two decades, providing sensitivity that has ranged from 71%-88% and specificity it from 97%-74% for identifying patients with malignant disease. Criteria have been established by the Society of Gynecology Oncology and American College of Obstetrics and Gynecology for referral to a gynecologic oncologist, but these have lower sensitivity and specificity than the RMI. Recently, two new algorithms have been developed to identify women at sufficiently high risk to prompt referral to a specialized surgeon. The OVA1 multivariate index incorporates imaging, menopausal status, CA125 and four other proteomic biomarkers. Use of OVA1 provides 85%-96% sensitivity at 28%-40% specificity depending upon menopausal status. The negative predictive value for women judged to be at low risk is 94%-96%. The risk of malignancy algorithm (ROMA) includes CA125, human epididymal protein 4 and menopausal status, but not imaging results. The ROMA has yielded 93%-94% sensitivity at 75% specificity with a negative predictive value of 93%-98%. In a direct comparison, ROMA has achieved greater sensitivity (94%) than the RMI (75%) at 75% specificity. OVA1 has not been compared directly to ROMA, but is likely to be as sensitive, but substantially less specific. Both algorithms have high negative predictive values 94%-98%. Although a difference in specificity should not affect patient outcomes, it could affect distribution of medical resources.

HE4 is an independent prognostic marker in endometrial cancer patients

OBJECTIVE

To evaluate the prognostic value of pretherapeutic serum HE4 in endometrial cancer in comparison to CA125.

METHODS

HE4 and CA125 serum levels were analyzed by means of chemiluminescent microparticle immunoassays in 183 patients with endometrial cancer treated at the Department of Obstetrics and Gynecology, Innsbruck Medical University, between 1999 and 2009. The Kaplan-Meier method and Cox's proportional hazards analysis were performed to determine the prognostic significance of HE4, CA125 and the combination of both markers.

RESULTS

In univariate analysis both markers, HE4 and CA125, were of prognostic value for overall survival (p<0.001 and p=0.028) and disease-free survival (p=0.015 and p=0.045). In multivariate analysis HE4 was seen to have independent prognostic value in overall survival (HR 2.407, p=0.017) in contrast to CA125. The combination of both markers showed a higher hazard ratio (HR 4.04, p=0.023) for overall survival in comparison to HE4 alone. In the subgroup endometrioid histological type (n=132) only HE4 was of prognostic value for overall survival in univariate (p=0.001) and multivariate analysis (p=0.023).

CONCLUSIONS

Pretherapeutic serum HE4 levels alone and in combination with CA125 are an independent prognostic marker in endometrial cancer patients.

Major clinical research advances in gynecologic cancer in 2011

The annual review of 2011 comprised 11 themes of major research achievements in gynecologic oncology including breast cancer. A potential paradigm shift in the management of ovarian cancer was reviewed through comprehensive genomic analyses and a tumor-specific new intraoperative fluorescence imaging technique using folate receptor-α targeted agent, which is expected to improve intraoperative staging and more radical cytoreduction. In addition, updates of bevacizumab and poly (ADP-ribose) polymerase inhibitors, risk-reducing salpingo-oophorectomy, and risk evaluation of pelvic mass were discussed. Regarding cervical cancer, this review covered new findings on human papillomavirus vaccines and human papillomavirus tests as well as the current status of clinical trials on locally advanced cervical cancer. The promising role of sentinel lymph node biopsy in the management of early stage endometrial cancer was followed by two notable clinical researches on: exemestane, an aromatase inhibitor, for the prevention of breast cancer and eribulin, a non-taxane microtubule dynamics inhibitor for the treatment of metastatic breast cancer. Lastly, in premenopausal women with breast cancer, the effect of gonadotropin-releasing hormone analogue on the occurrence of chemotherapy-induced early menopause was discussed.