Literature DB >> 27347403

The diagnostic value of serum HE4 and CA-125 and ROMA index in ovarian cancer.

S U Wei1, Hui Li2, Bei Zhang1.   

Abstract

Ovarian cancer is a common malignancy of the female reproductive system. Tumor markers serve as tools in the diagnosis of the disease. The aim of the present study was to determine the diagnostic value of sera levels of carbohydrate antigen-125 (CA-125), human epididymis protein 4 (HE4) as well as the area under the curve of the receiver operating characteristic (ROC) and the risk of ovarian malignancy algorithm (ROMA) index in ovarian cancer. The sera were measured using an electrochemiluminescence immunoassay on 158 individuals (64 patients with ovarian cancer, 64 with ovarian benign tumor and 30 healthy individuals) between September 2013 and May 2015. The results showed that levels of HE4 and CA-125 in the sera of the ovarian benign tumor group as well as their ROMA index were significantly higher (P<0.05) than those of the ovarian benign tumor and control groups, regardless of pre- or postmenopausal status. However, the level of CA-125 was significantly higher (P<0.05) in the ovarian benign tumor group compared with the healthy group, while the level of HE4 was similar in the two groups. The sensitivity of the ROMA index was higher (P<0.01) with detection of HE4 and CA-125. In the ovarian cancer group, the areas under ROC curves of ROMA, HE4 and CA-125 were 0.994, 0.990 and 0.941, respectively. The specificity and positive predictive value of HE4 in the premenopausal ovarian cancer group reached 98.36 and 95%, respectively. In conclusion, the results showed that the serum level of HE4 and the ROMA index are important indicators in the diagnosis of ovarian cancer. However, in addition to HE4 and CA-125 detection, the ROMA index is extremely valuable in improving the diagnostic efficiency of ovarian cancer.

Entities:  

Keywords:  carbohydrate antigen-125; epididymis secretory protein 4; ovarian cancer; risk of ovarian malignancy algorithm index

Year:  2016        PMID: 27347403      PMCID: PMC4906902          DOI: 10.3892/br.2016.682

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


Introduction

Ovarian cancer is one of the three most common malignant tumors in the female reproductive system. It has an insidious onset with a difficult early diagnosis (1). In approximately, 70% of all cases of ovarian cancer, the disease is not diagnosed before reaching an advanced stage (2). The 5-year survival rate associated with ovarian cancer is <30% (3). Over 90% of all cases of ovarian masses detected in premenopausal and ≤60% in postmenopausal women, are benign (4). The early diagnosis of ovarian malignant tumor becomes a key factor in improving the survival rate of patients. Tools currently in use for differentiating between low- and high-risk patients with ovarian cancer are the tumor markers carbohydrate antigen-125 (CA-125) and the human epididymis protein 4 (HE4), as well as the index value of risk of ovarian malignancy algorithm (ROMA) (5). The tumor marker CA-l25 has been used for 30 years for the monitoring of ovarian cancer, diagnosis, effective evaluation, and recurrence (6). Although clinical application of CA-125 has been extensive, its specificity as a marker of malignant tumor or early diagnosis of ovarian cancer requires reassesment (7). In premenopausal women, the detection of CA-125 in ovarian cancer sensitivity and specificity is not ideal because of the menstrual cycle, pregnancy and other effects (8). The introduction of HE4, a type of gynecological tumor marker, has attracted much attention. HE4 has shown a sensitivity and specificity of 72.9 and 95%, respectively, for differentiating between types of ovarian masses, which is better than that of CA-125 detection (9). HE4 is highly expressed in ovarian cancer, endometrial cancer tissues and in the adjacent tissues, normal tissues and benign tumors (10). Consequently, as an ideal tumor marker, HE4 has received increased attention. It has been confirmed (10–14) that HE4 has an obvious difference in the expression level between benign gynecological diseases such as ovarian cyst, uterine fibroids, endometriosis, endometrial polyps and other ovarian cancers, including endometrial and cervical cancer, which can be used for the differential diagnosis of the disease. However, in order to utilize the value of existing detection and to further improve the accuracy of early diagnosis of ovarian cancer while simultaneously assessing the risk of ovarian cancer and combining the research results and the relevant statistical analysis, the ROMA index value (11–16) has been introduced (17). The ROMA index value is an algorithm that takes into account the levels of CA-125 and HE4 together with menopausal status using quantitative and objective parameters (18). The sensitivity and specificity of ROMA are 88.7 and 74.7%, respectively, when applied in cohorts of pre- and postmenopausal women (17). Previous investigations on the application of HE4 and ROMA in ovarian cancer with results indicated improvement in the diagnostic accuracy of ovarian cancer. In the present study, we evaluated the values of these tools in the global and differential diagnosis of ovarian cancer. We thus analyzed the sera levels of HE4, CA-125 and determined the values of the ROMA index combined with menopausal status in patients suffering ovarian carcinoma, as confirmed by surgical treatment in Xuzhou Central Hospital (Jiangsu, China). The period of the study was from October 2013 to May 2015.

Subjects and methods

Clinical data

In total, the present study included 158 cases, which were divided into the ovarian cancer, benign ovarian disease and healthy control groups. Selected patients did not receive chemotherapy or hormonal therapy, or a combination thereof for other tumors or serious heart, liver and kidney disease, or diabetes. A total of 64 patients in the ovarian cancer group were selected between October 2013 and May 2015 in Xuzhou Central Hospital with pelvic mass, which was examined and confirmed by postoperative pathological findings. There were 14 cases of papillary serous cystadenocarcinoma, 1 case of clear cell carcinoma, 7 cases of mucinous cystadenocarcinoma and 42 cases of serous cystadenocarcinoma. According to the staging method of the International Federation of Gynaecology and Obstetrics, 10 cases were stage I, 18 cases of stage II, 23 cases of stage III and 13 cases of stage IV. The patients were aged 30–51 years with an average age of 55±11.9 years. Twenty-seven patients were in premenopausal status (aged 30–51 years, average age 43.8±6.08 years) while 37 patients were in postmenopausal status (aged 47–81 years, average age 63±7.9 years). The 64 patients were in the benign ovarian disease group (6 cases of ovarian serous cystadenoma, 14 cases of ovarian mucinous cystadenoma, 30 cases of mature ovarian teratoma, 5 cases of theca cell tumor and 9 cases of ovarian endometriosis cyst). The patients were aged 24–82 years, with an average age of 47.81±13.9 years. Of the 64 patients, 40 patients were in premenopausal status (aged 24–47 years, average age 38.9±6.8 years), while 24 patients were in postmenopausal status (aged 50–82 years, average age 62.7±9.2 years). Thirty normal females in the healthy control group identified during the same period with no liver and kidney disease and no tumor history, were included. The patients were aged 30–63 years, with an average age of 45.2±8.25 years. Of the 30 cases, 21 cases were at a premenopausal status, aged 30–49 years with an average age of 40.8±5 years. Nine cases were of postmenopausal status with an age of 51–63 years and an average age of 55.7±3.4 years. All the subjects provided written inform consent. The study was approved by the Ethics Committee of the Xuzhou Central Hospital.

Sample collection

Samples were collected from all the patients prior to surgery and 3 ml blood was collected. Serum was centrifuged at 2000 × g and stored at −20 and −80°C until use.

Sample detection

Serum CA-125 and HE4 were detected using the full automatic chemiluminescence analyzer Cobs601 and the corresponding kit according to manufacturer's protocol (Roche Diagnostics, Indianapolis, IN, USA). Briefly, serum HE4 and CA-125 levels were calculated for ROMA index value using the Roche ROMA index of ovarian cancer risk assessment software. Serum HE4 and CA-125 reference range was <140 pmol/l and <35 U/ml, respectively.

ROMA index calculation

The ROMA index was calculated according to the levels of HE4 and CA-125. HE4 and CA-125 values were input to the ovarian cancer risk assessment software, followed by automatic calculation of the corresponding ROMA index. The premenopausal calculation formula of the ROMA index was: 12+2.38 × LN(HE4)+0.062 6 × LN(CA-125). The postmenopausal calculation formula of the ROMA index was: 8.09+1.04 × LN(HE4)+0.732 × LN(CA-125). When Roche Elecsys specificity was 75%, premenopausal women with a ROMA value ≥11.4, had a higher risk of ovarian cancer. Postmenopausal women with ROMA value ≥29.9 had a higher risk of ovarian cancer.

Statistical analysis

SPSS 16.0 statistical software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. HE4, CA-125, ROMA index and other non-normal measurement data were shown as the quartile interval. The count data were shown using rate. The use of the rank sum test (Man-whitney U test) and Chi-square test data were statistically analyzed. The area under curve (AUC) of receiver operating characteristic (ROC) were calculated for a comparison of the three test methods. P<0.05 was considered to indicate a statistically significant difference.

Results

Comparison of the difference of serum HE4 and CA-125 levels and the ROMA index between groups

The serum levels of HE4, CA-125 and ROMA index in the ovarian cancer group were significantly higher than those in the benign tumor and healthy control groups, and there was significant difference (P<0.05). The expression level of HE4 and ROMA index in the benign tumor group was not significantly different. The expression level of CA-125 in serum was significantly higher than that in the healthy control group (P<0.05, Table I).
Table I.

Sera levels of HE4, CA-125 and ROMA index of three groups.

ParametersHealthy control groupBenign tumor groupOvarian cancer group
Cases306464
HE439.04±8.3854.76±42.35739.03±860.04[a,b]
CA-12515.08±5.2849.07±175.61[a]868.85±1204.08[a,b]
ROMA index6.18±2.2110.15±11.9876.30±28.57[a,b]

The three parameters were significantly increased in the ovarian cancer group while only CA-125 was significantly increased in the benign tumor group relative to the healthy control group.

Compared with those of the control group, P<0.05

Compared with those of the benign tumor group, P<0.05. HE4, human epididymis protein 4; CA-125, carbohydrate antigen-125; ROMA, risk of ovarian malignancy algorithm.

Evaluation of serum HE4, CA-125 and ROMA in the diagnosis of ovarian cancer

The patients in the ovarian benign disease and healthy control groups were further divided into the pre- and postmenopausal groups. The patients with ovarian cancer were divided into the pre- and postmenopausal groups. The serum levels of HE4, CA-125 and ROMA index were detected to evaluate the sensitivity, specificity, positive predictive value and negative predictive value of HE4, CA-125 and ROMA standardized with pathological diagnosis (Table II). The ROMA index, and a comparison of the sera levels of CA-125 and HE4 in the diagnosis of ovarian cancer in each group indicated significant differences between the three groups (P<0.001, Table III). The AUC of ROC of the ROMA index, HE4 and CA-125 in the diagnosis of ovarian cancer gradually decreased to 0.994, 0.990 and 0.941, respectively (Fig. 1).
Table II.

The diagnostic values of CA-125, HE4 and ROMA in ovarian cancer compared with the golden standard.

CharacteristicsSensitivity (%)Specificity (%)Positive predictive value (%)Negative predictive value (%)
Total
  CA-12585.07 (57/64)92.31 (84/94)90.6 (57/67)89.36 (84/91)
  HE475 (48/64)97.87 (92/94)96 (48/50)  85.19 (92/108)
  ROMA index93.75 (60/64)92.55 (87/94)89.55 (60/67)  86.14 (87/101)
Premenopausal
  CA-12592.59 (25/27)88.52 (54/61)78.13 (25/32)  96.43 (54/56)
  HE470.37 (19/27)98.36 (60/61)95.00 (19/20)  88.24 (60/68)
  ROMA index96.3 (26/27)88.52 (54/61)78.79 (26/33)  98.18 (54/55)
Postmenopausal
  CA-12586.49 (32/37)90.9 (30/33)91.43 (32/35)  90.90 (30/35)
  HE478.38 (29/37)96.97 (32/33)96.67 (29/30)  80.00 (32/40)
  ROMA index91.89 (34/37)96.97 (32/33)97.14 (34/35)  91.43 (32/35)

Sensitivity and specificity of the positive and negative predictive values of HE4, CA-125 and ROMA standardized with pathological diagnosis were comparable between the groups. HE4, human epididymis protein 4; CA-125, carbohydrate antigen-125; ROMA, risk of ovarian malignancy algorithm.

Table III.

The diagnostic values of CA-125, HE4 and ROMA in ovarian cancer.

CA-125HE4


CharacteristicsPositiveNegativePositiveNegative
Total
  ROMA index
    Positive57104818
    Negative1081290
  χ286.72189.755
  P-value<0.001<0.001
Premenopausal
  ROMA index
    Positive2581913
    Negative748155
  χ235.4139.27
  P-value<0.001<0.001
Postmenopausal
  ROMA index
    Positive322295
    Negative333135
  χ251.4748.62
  P-value<0.001<0.001

The ROMA index and a comparison of the sera levels of CA-125 and HE4 in the diagnosis of ovarian cancer between the three groups were significantly different. HE4, human epididymis protein 4; CA-125, carbohydrate antigen-125; ROMA, risk of ovarian malignancy algorithm.

Figure 1.

The receiver operating characteristic of risk of ovarian malignancy algorithm (ROMA) index, human epididymis secretory protein 4 (HE4) and carbohydrate antigen-125 (CA-125) in the diagnosis of ovarian cancer.

Discussion

The early diagnosis of ovarian malignancies is one of the key factors for improving the survival rate of patients (19). CA-125 has been used as a tumor marker for the diagnosis and monitoring of ovarian cancer for 30 years, and is also used for efficacy evaluation and monitoring of recurrence (8). Data have shown that the serum levels of CA-125, HE4 and ROMA in ovarian cancer patients were significantly higher than those of the patients with ovarian benign disease and healthy women (20). The specificity and positive predictive value of HE4 for ovarian cancer was the highest, and the sensitivity of ROMA index was the highest. In the present study, the 158 cases were divided into the premenopausal and postmenopausal group to evaluate the three indicators in the diagnostic value of ovarian cancer. The ROMA index demonstrated the highest sensitivity and negative predictive value for ovarian cancer. HE4 had the highest specificity and positive predictive value. The specificity of HE4 for ovarian cancer was higher in the postmenopausal women, as reported elsewhere (21). The sensitivity, specificity, positive predictive value and negative predictive value of the ROMA index in ovarian cancer were the highest (91.89, 96.97, 97.14 and 91.45%), respectively. CA-125 and HE4 were significantly different from the ROMA index, and the ROMA index was significantly better than CA-125 and HE4 in the diagnosis of ovarian cancer. In addition, the ROC curve drawn in this study for the benign tumor of ovary and healthy control groups, identified that the area under the ROC curve of CA-125, HE4 and ROMA index was increased by 0.941, 0.990 and 0.994, respectively. This result confirmed the clinical diagnostic value of the ROMA index (5). It also showed that detection of ROMA index in the diagnosis of ovarian cancer was higher than CA125 and HE4. In conclusion, application of the ROMA index and HE4 for the diagnosis of ovarian cancer was found to be effective and it has good clinical application value, which may be useful for clinicians.
  21 in total

1.  Carcinoma of the fallopian tube. FIGO 26th Annual Report on the Results of Treatment in Gynecological Cancer.

Authors:  A P M Heintz; F Odicino; P Maisonneuve; M A Quinn; J L Benedet; W T Creasman; H Y S Ngan; S Pecorelli; U Beller
Journal:  Int J Gynaecol Obstet       Date:  2006-11       Impact factor: 3.561

2.  Human epididymis protein 4 offers superior specificity in the differentiation of benign and malignant adnexal masses in premenopausal women.

Authors:  Kevin Holcomb; Zivjena Vucetic; M Craig Miller; Robert C Knapp
Journal:  Am J Obstet Gynecol       Date:  2011-05-14       Impact factor: 8.661

3.  A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Authors:  Richard G Moore; D Scott McMeekin; Amy K Brown; Paul DiSilvestro; M Craig Miller; W Jeffrey Allard; Walter Gajewski; Robert Kurman; Robert C Bast; Steven J Skates
Journal:  Gynecol Oncol       Date:  2008-10-12       Impact factor: 5.482

Review 4.  New insights into the pathogenesis of serous ovarian cancer and its clinical impact.

Authors:  Keren Levanon; Christopher Crum; Ronny Drapkin
Journal:  J Clin Oncol       Date:  2008-10-14       Impact factor: 44.544

5.  Effects of personal characteristics on serum CA125, mesothelin, and HE4 levels in healthy postmenopausal women at high-risk for ovarian cancer.

Authors:  Kimberly A Lowe; Chirag Shah; Erin Wallace; Garnet Anderson; Pamela Paley; Martin McIntosh; M Robyn Andersen; Nathalie Scholler; Lindsay Bergan; Jason Thorpe; Nicole Urban; Charles W Drescher
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

6.  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.

Authors:  Mona Aarenstrup Karlsen; Noreen Sandhu; Claus Høgdall; Ib Jarle Christensen; Lotte Nedergaard; Lene Lundvall; Svend A Engelholm; Anette T Pedersen; Dorthe Hartwell; Magnus Lydolph; Inga Alice Laursen; Estrid V S Høgdall
Journal:  Gynecol Oncol       Date:  2012-07-24       Impact factor: 5.482

7.  Utility of a novel serum tumor biomarker HE4 in patients with endometrioid adenocarcinoma of the uterus.

Authors:  Richard G Moore; Amy K Brown; M Craig Miller; Donna Badgwell; Zhen Lu; W Jeffrey Allard; C O Granai; Robert C Bast; Karen Lu
Journal:  Gynecol Oncol       Date:  2008-05-21       Impact factor: 5.482

Review 8.  Ovarian cancer screening.

Authors:  Nicole Urban; Martin W McIntosh; Marin Andersen; Beth Y Karlan
Journal:  Hematol Oncol Clin North Am       Date:  2003-08       Impact factor: 3.722

Review 9.  The CA 125 tumour-associated antigen: a review of the literature.

Authors:  I Jacobs; R C Bast
Journal:  Hum Reprod       Date:  1989-01       Impact factor: 6.918

Review 10.  Ovarian cancer: can proteomics give new insights for therapy and diagnosis?

Authors:  Angela Toss; Elisabetta De Matteis; Elena Rossi; Lara Della Casa; Anna Iannone; Massimo Federico; Laura Cortesi
Journal:  Int J Mol Sci       Date:  2013-04-15       Impact factor: 5.923

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  23 in total

1.  Diagnostic value of urinary-to-serum human epididymis protein 4 ratio in ovarian cancer.

Authors:  Quming Fan; Guangcheng Luo; Tingting Yi; Qiang Wang; Dongsheng Wang; Guoyuan Zhang; Xingliang Jiang; Xiaolan Guo
Journal:  Biomed Rep       Date:  2017-05-18

2.  Predicting value of HE4 and CA125 markers for optimal cytoreductive surgery in ovarian cancer patients.

Authors:  Elham Saffarieh; Setare Nassiri; Majid Mirmohammadkhani
Journal:  Eur J Transl Myol       Date:  2022-08-01

3.  A review of co-registered transvaginal photoacoustic and ultrasound imaging for ovarian cancer diagnosis.

Authors:  Quing (Ching) Zhu
Journal:  Curr Opin Biomed Eng       Date:  2022-04-02

4.  Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.

Authors:  Zhanzhan Xu; Yu Zhou; Yexuan Cao; Thi Lan Anh Dinh; Jing Wan; Min Zhao
Journal:  Med Oncol       Date:  2016-10-18       Impact factor: 3.064

5.  Identification and validation of core genes for serous ovarian adenocarcinoma via bioinformatics analysis.

Authors:  Ruru Zhu; Jisen Xue; Huijun Chen; Qian Zhang
Journal:  Oncol Lett       Date:  2020-08-21       Impact factor: 2.967

6.  MicroRNA-based signatures impacting clinical course and biology of ovarian cancer: a miRNOmics study.

Authors:  E Krasniqi; A Sacconi; G Blandino; P Vici; D Marinelli; L Pizzuti; M Mazzotta; D Sergi; E Capomolla; S Donzelli; M Carosi; A Bagnato; T Gamucci; S Tomao; C Natoli; P Marchetti; A Grassadonia; N Tinari; M De Tursi; E Vizza; G Ciliberto; L Landi; F Cappuzzo; M Barba
Journal:  Biomark Res       Date:  2021-07-13

7.  Measurement of HE4 and CA125 and establishment of reference intervals for the ROMA index in the sera of pregnant women.

Authors:  Jie Lu; Zhipeng Zheng; Qi Zhang; Guoli Li; Fengying Li; Zhian Le; Jun Huang; Xinyou Xie; Jun Zhang
Journal:  J Clin Lab Anal       Date:  2017-11-30       Impact factor: 2.352

8.  Human epididymis protein 4 antigen-autoantibody complexes complement cancer antigen 125 for detecting early-stage ovarian cancer.

Authors:  Wei-Lei Yang; Zhen Lu; Jing Guo; Bryan M Fellman; Jing Ning; Karen H Lu; Usha Menon; Makoto Kobayashi; Samir M Hanash; Joseph Celestino; Steven J Skates; Robert C Bast
Journal:  Cancer       Date:  2019-11-12       Impact factor: 6.860

Review 9.  Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers.

Authors:  Shuvolina Mukherjee; Karin Sundfeldt; Carl A K Borrebaeck; Magnus E Jakobsson
Journal:  Proteomes       Date:  2021-05-25

10.  Prognostic impact of pretreatment thrombocytosis in epithelial ovarian cancer.

Authors:  K S Okunade; O Dawodu; M Adenekan; C M Nwogu; O Awofeso; A O Ugwu; O Salako; S John-Olabode; O F Olowoselu; R I Anorlu
Journal:  Niger J Clin Pract       Date:  2020-08       Impact factor: 0.968

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