Literature DB >> 22993374

HE4 and ROMA index in Czech postmenopausal women.

Zdenek Novotny1, Jiri Presl, Radek Kucera, Ondrej Topolcan, Jindra Vrzalova, Radka Fuchsova, Lucie Betincova, Zdenek Rokyta.   

Abstract

AIM: The first aim of the project was to evaluate the benefits of the determination of human epididymis protein 4 (HE4) and the risk of ovarian malignancy algorithm (ROMA) index for primary detection of ovarian cancer in a population of Czech women. The second aim was to study the advantages HE4, cancer antigen 125 (CA125) and ROMA index for distinguishing between benign and malignant tumors. Aware of the age distribution of ovarian cancer, we focused on postmenopausal patients. PATIENTS AND METHODS: Our group of patients consisted of 256 females, 21 with ovarian cancer and 235 with benign ovarian tumors. All diagnoses were histologically verified. We determined the serum levels of HE4 and CA125 and calculated the ROMA2 index for postmenopausal women. Serum levels of the analytes were measured using an Architect 1000i instrument. Serum samples were collected prior to surgery or any other form of treatment and the results of the two groups of patients were compared (malignant vs. benign).
RESULTS: There was a significant difference in the serum levels for all parameters studied between the groups of patients with malignant and those with benign diagnoses (Wilcoxon test, p<0.0001). When all parameters were evaluated at 95% specificity, the HE4 cut-off was 112 pmol/l at a sensitivity of 71.42%, a positive predictive value (PPV) of 55.56%, a negative predictive value (NPV) of 97.14% and an area under the curve (AUC) of 0.9152. The CA125 cut-off was 81 IU/l at a sensitivity of 80.95%, a PPV of 58.62%, a NPV of 98.23% and an AUC of 0.9731. ROMA2 index had a cut-off 37.70% at a sensitivity of 85.71%, a PPV of 62.06%, a NPV of 98.65% and an AUC of 0.9803. The highest diagnostic efficiency was achieved by the ROMA2 index.
CONCLUSION: Determination of HE4 along with CA125 and ROMA2 index calculation is a suitable method for the improvement of the primary detection of ovarian cancer. This approach also improves the differential diagnostic possibilities for distinguishing between malignant and benign tumors.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22993374

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  7 in total

1.  The Establishment of an HE4-CLIA Method and the Combined Analysis of HE4 and CA125 in Ovarian Cancer.

Authors:  Qiong Zhang; Cong-Rong Wang; Juan-Ping Yu; Qiang Ma; Wei-Wen Xu
Journal:  J Clin Lab Anal       Date:  2016-03-17       Impact factor: 2.352

Review 2.  Biomarker testing for ovarian cancer: clinical utility of multiplex assays.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Mol Diagn Ther       Date:  2013-06       Impact factor: 4.074

3.  Diagnostic accuracy of serum HE4, CA125 and ROMA in patients with ovarian cancer: a meta-analysis.

Authors:  Jiwen Wang; Jia Gao; Hongwen Yao; Zongyong Wu; Minjie Wang; Jun Qi
Journal:  Tumour Biol       Date:  2014-03-14

Review 4.  Ovarian cancer: in search of better marker systems based on DNA repair defects.

Authors:  Dominic Varga; Miriam Deniz; Lukas Schwentner; Lisa Wiesmüller
Journal:  Int J Mol Sci       Date:  2013-01-04       Impact factor: 5.923

5.  HE4 Serum Levels in Patients with BRCA1 Gene Mutation Undergoing Prophylactic Surgery as well as in Other Benign and Malignant Gynecological Diseases.

Authors:  Anita Chudecka-Głaz; Aneta Cymbaluk-Płoska; Aleksandra Strojna; Janusz Menkiszak
Journal:  Dis Markers       Date:  2017-01-15       Impact factor: 3.434

6.  Comparison of HE4, CA125, and ROMA Diagnostic Accuracy: A Prospective and Multicenter Study for Chinese Women With Epithelial Ovarian Cancer.

Authors:  Pengjun Zhang; Chuanxin Wang; Liming Cheng; Peng Zhang; Lin Guo; Wanli Liu; Zhongying Zhang; Yanchun Huang; Qishui Ou; Xinyu Wen; Yaping Tian
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

7.  Base rate of ovarian cancer on algorithms in patients with a pelvic mass.

Authors:  Anne Lone Denny Rolfsen; Alv A Dahl; Are Hugo Pripp; Anne Dørum
Journal:  Int J Gynecol Cancer       Date:  2020-07-21       Impact factor: 3.437

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.