Literature DB >> 21288178

The ROMA (Risk of Ovarian Malignancy Algorithm) for estimating the risk of epithelial ovarian cancer in women presenting with pelvic mass: is it really useful?

Martina Montagnana1, Elisa Danese, Orazio Ruzzenente, Valentina Bresciani, Teresita Nuzzo, Matteo Gelati, Gian Luca Salvagno, Massimo Franchi, Giuseppe Lippi, Gian Cesare Guidi.   

Abstract

BACKGROUND: The study is aimed at evaluating the performance of the predictive model ROMA (Risk of Ovarian Malignancy Algorithm), which utilizes the combination of human epididymis protein 4 (HE4) and CA125 values to assess the risk of epithelial ovarian cancer (EOC) in women with a pelvic mass.
METHODS: One hundred and four women diagnosed with a pelvic mass (55 EOC and 49 benign cases) and scheduled to have surgery were enrolled, along with 49 healthy females. Preoperative serum concentrations of HE4 and CA125 were measured. Separate logistic regression algorithms ROMA for pre-menopausal and post-menopausal women were used to categorize patients into low- and high-risk groups for EOC. The area under the curve (AUC), sensitivity and specificity were calculated for HE4, CA125 and ROMA for the diagnosis of ovarian cancer using receiver operating characteristic (ROC) analysis.
RESULTS: The median CA125 and HE4 serum concentrations were significantly higher among EOC patients than in healthy females (both p<0.05) and those with a benign mass (both p<0.05). The pre-menopausal group included 36 benign cases (29 of which were classified by ROMA as low-risk with a specificity of 80.6%; 95% CI: 64.0%-91.8%), and 15 EOC (eight of which were classified by ROMA as high-risk, with a sensitivity of 53.3%; 95% CI: 26.6%-78.7%). The post-menopausal group enclosed 13 benign cases (11 of which were classified by ROMA as low-risk with a specificity of 84.6%; 95% CI: 54.6%-98.0%), and 40 EOC (33 of which were classified by ROMA as high-risk with a sensitivity of 82.5%; 95% CI: 67.2%-92.7%). In the pre-menopausal group, the AUC was 0.64 (p=0.12, 95% CI: 0.44-0.83) for CA125, 0.77 (p=0.003, 95% CI: 0.62-0.92) for HE4 and 0.77 (p=0.002, 95% CI: 0.63-0.92) for ROMA. In the post-menopausal group, the AUC was 0.84 (p=0.0003, 95% CI: 0.73-0.94) for CA125, 0.94 (p<0.0001, 95% CI: 0.88-0.99) for HE4 and 0.92 (p<0.0001, 95% CI: 0.85-0.99) for ROMA.
CONCLUSIONS: The ROMA is a simple scoring system which shows excellent diagnostic performance for the detection of EOC in post-menopausal women, but not in pre-menopausal women. Moreover, the dual marker combination of HE4 and CA125 (ROMA) does not show better performance than HE4 alone.

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Year:  2011        PMID: 21288178     DOI: 10.1515/CCLM.2011.075

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  49 in total

1.  Serum HE4 levels are less frequently elevated than CA125 in women with benign gynecologic disorders.

Authors:  Richard G Moore; Michael Craig Miller; Margaret M Steinhoff; Steven J Skates; Karen H Lu; Geralyn Lambert-Messerlian; Robert C Bast
Journal:  Am J Obstet Gynecol       Date:  2011-12-30       Impact factor: 8.661

Review 2.  The role of biomarkers in the management of epithelial ovarian cancer.

Authors:  Wei-Lei Yang; Zhen Lu; Robert C Bast
Journal:  Expert Rev Mol Diagn       Date:  2017-05-15       Impact factor: 5.225

Review 3.  Circulating biomarkers in epithelial ovarian cancer diagnosis: from present to future perspective.

Authors:  Martina Montagnana; Marco Benati; Elisa Danese
Journal:  Ann Transl Med       Date:  2017-07

4.  [Diagnostic value of CA125, HE4 and Copenhagen Index in differentiating benign from malignant epithelial ovarian tumors].

Authors:  Shi-Peng Gong; Yong-Ning Chen; Ya-di Zhang; Wei Yao; Li Chen; Shi-San Liu; Huan Wu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-05-20

5.  A novel multiple biomarker panel for the early detection of high-grade serous ovarian carcinoma.

Authors:  Chanhee Han; Stefania Bellone; Eric R Siegel; Gary Altwerger; Gulden Menderes; Elena Bonazzoli; Tomomi Egawa-Takata; Francesca Pettinella; Anna Bianchi; Francesco Riccio; Luca Zammataro; Ghanshyam Yadav; Jarrod A Marto; Marie-France Penet; Douglas A Levine; Ronny Drapkin; Abhijit Patel; Babak Litkouhi; Elena Ratner; Dan-Arin Silasi; Gloria S Huang; Masoud Azodi; Peter E Schwartz; Alessandro D Santin
Journal:  Gynecol Oncol       Date:  2018-03-21       Impact factor: 5.482

Review 6.  Serum Biomarker Based Algorithms in Diagnosis of Ovarian Cancer: A Review.

Authors:  Suchitra Kumari
Journal:  Indian J Clin Biochem       Date:  2018-08-06

7.  HE4 a novel tumour marker for ovarian cancer: comparison with CA 125 and ROMA algorithm in patients with gynaecological diseases.

Authors:  Rafael Molina; Jose M Escudero; Jose M Augé; Xavier Filella; Laura Foj; Aureli Torné; Jose Lejarcegui; Jaume Pahisa
Journal:  Tumour Biol       Date:  2011-08-24

Review 8.  Development of nanoscale approaches for ovarian cancer therapeutics and diagnostics.

Authors:  Sarah A Engelberth; Nadine Hempel; Magnus Bergkvist
Journal:  Crit Rev Oncog       Date:  2014

Review 9.  The emerging role of HE4 in the evaluation of epithelial ovarian and endometrial carcinomas.

Authors:  Archana R Simmons; Keith Baggerly; Robert C Bast
Journal:  Oncology (Williston Park)       Date:  2013-06       Impact factor: 2.990

Review 10.  The role of human epididymis protein 4 in the diagnosis of epithelial ovarian cancer.

Authors:  L-T Jia; Y-C Zhang; J Li; Y Tian; J-F Li
Journal:  Clin Transl Oncol       Date:  2015-07-29       Impact factor: 3.405

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