Research Article |
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Corresponding author: Vesselina Koleva-Topova ( vessi_koleva@yahoo.com ) © 2025 Vesselina Koleva-Topova, Sevim Shefket.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Koleva-Topova V, Shefket S (2025) Reference values of human epididymis protein 4 in the Bulgarian population – assessment of the influence of age, menopause, pregnancy, and renal function. Folia Medica 67(4): e155013. https://doi.org/10.3897/folmed.67.e155013
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Introduction: Human epididymis protein 4 (HE4) is increasingly utilized in diagnosing pelvic masses and monitoring patients with ovarian or endometrial carcinoma. However, various publications and diagnostic kit manufacturers report a wide range of reference and threshold values, complicating accurate clinical interpretation and reducing the marker’s clinical utility. This study aimed to establish reference values for HE4 in the Bulgarian female population and investigate the impact of physiological factors such as age, menopause, and pregnancy, as well as pathological conditions like impaired renal function, on marker levels.
Materials and methods: The study included 338 women: 246 healthy, nonpregnant women aged 20–82 (124 of whom were premenopausal); 52 pregnant women; and 40 women with reduced renal function, as determined by serum creatinine levels. Data were collected on gynecological status, renal and hepatic function, diabetes, and other clinically significant chronic or oncological diseases. Serum HE4 concentrations were measured using an indirect chemiluminescent microparticle immunoassay (CMIA) on the Architect ci8200 system (Abbott Diagnostics). Statistical analyses were performed using SPSS version 25.0, and values were considered statistically significant at p<0.05.
Results: The upper reference limit for HE4 in healthy women (95th percentile with 95% confidence interval) was 62.43 (59.02–65.45) pmol/L. For menopausal status, upper reference limits were 53.22 (50.80–60.82) pmol/L for premenopausal women and 65.31 (61.57–68.35) pmol/L for postmenopausal women. In pregnant women, the upper HE4 limit was 50.90 pmol/L, with values by gestational age of 57.73 pmol/L (first trimester) and 46.35 pmol/L (second trimester). None of the women with serum creatinine within the reference range had elevated HE4 levels, whereas all patients with elevated creatinine had HE4 levels above the 95th percentile for their respective age and menopausal status.
Conclusions: The established reference limits for HE4 in this study significantly differ from those proposed by Abbott Diagnostics that are used to date. Implementing these limits in clinical practice could enhance the marker’s sensitivity and enable earlier detection of gynecological malignancies. The data confirm that HE4 levels depend on age, particularly after 60 years, and on reduced renal function, necessitating cautious interpretation in these patients. No significant differences in HE4 concentrations were observed between pregnant and non-pregnant women, supporting the use of uniform reference values regardless of pregnancy or gestational stage.
age, gynecological malignancies, HE4, healthy women, pregnancy, renal function
The development of cDNA and oligonucleotide microarray analyses in studying ovarian carcinoma (OC) biology has identified numerous overexpressed genes in primary tumors and ovarian cancer cell lines. Among the most frequently and significantly overexpressed genes in ovarian tumors compared to normal ovarian tissue is the gene encoding human epididymis protein 4 (HE4). First described in 1991 by Kirchoff et al.[
A large study by Park et al.[
Another large study on HE4 reference values and biological variation, conducted in Norway by Bolstad et al.[
Anastasi et al.[
These studies highlight the lack of unified HE4 reference ranges and consistent data on biological variability. Collecting such data and verifying the applicability of manufacturer-recommended reference values to the Bulgarian population are crucial for accurate HE4 result interpretation and evaluating its diagnostic utility, particularly in early-stage malignant disease.
This study aims to establish reference values for HE4 in the Bulgarian female population and evaluate the influence of physiological factors (age, menopause, pregnancy) and pathological conditions (reduced renal function) on marker levels.
The study included 338 women aged 20–82 years: 246 healthy women (124 premenopausal), 52 pregnant women, and 40 with reduced renal function (based on serum creatinine concentration) but no gynecological disease. A retrospective analysis was conducted using data from the laboratory information system of Acibadem City Clinic Tokuda Medical Center and Acibadem City Clinic Tokuda University Hospital. Health status was assessed regarding gynecological status, renal and liver function, diabetes, and other clinically significant chronic or oncological conditions. Serum samples were processed according to the laboratory’s standard operating procedures. HE4 concentrations were measured using a chemiluminescent microparticle immunoassay (CMIA) on the Architect ci8200 analyzer (Abbott Diagnostics, USA) with linearity up to 1500 pmol/L. Since in some cases HE4 concentrations exceeding the upper limit of linearity were not re-analyzed following dilution, and the result was reported as >1500 pmol/L, such values were equated to 1500 pmol/L for the purpose of evaluating the correlation with creatinine concentration. During the method verification process, the within-run coefficient of variation (CV) was calculated to be in the range of 1.93-2.63%, and the between-run CV ranged from 7.09% to 9.39% (for low, medium, and high HE4 concentrations), with bias (d%) ranging from 2.08% to 2.69%. Serum creatinine concentration was measured using the Jaffe kinetic assay without deproteinization on the Architect ci8200 analytical platform, calibrated with the ConCC calibrator, traceable to the NIST SRM967 reference material. For each creatinine result, the estimated glomerular filtration rate (eGFR) was also calculated using the CKD-EPI 2021 equation. Statistical analysis was performed using SPSS v. 25.0 with significance set at p<0.05. Tests included Shapiro-Wilk and Kolmogorov-Smirnov for normality, Spearman’s rho and Pearson’s R for correlation, regression analysis for continuous variables with near-normal distributions, and the Kruskal-Wallis test for differences in means among independent samples. Percentile methods were used to determine reference values and to test statistical hypotheses for significant differences in specific tested thresholds. For this purpose, 95% confidence intervals (95% CI) for the 95th percentile were constructed, and the threshold values were compared against these intervals to determine the significance of any observed differences.
To establish HE4 reference ranges in the Bulgarian population, 246 healthy women aged 20–82 years (mean±SD: 48.20±13.04) were analyzed, divided by menopausal status into premenopausal (n=124, aged 20–54 years, mean±SD: 37.77±8.13) and postmenopausal (n=122, aged 35–82 years, mean±SD: 58.80±7.26) subgroups. Normal distribution tests and visual evaluations (histograms and P–P plots) showed that HE4 values did not follow a Gaussian distribution. The Kolmogorov-Smirnov test rejected the null hypothesis of normality (p<0.05). Data were therefore analyzed using nonparametric methods following transformation (α=0.05). After statistical processing and normalization, a percentile method was used to calculate reference ranges. The upper reference limit corresponds to the 95th percentile with a 95% confidence interval. Median and interquartile range (IQR) for HE4 were 38.90 (33.50–47.43) pmol/L for the entire cohort, 36.65 (31.70–42.35) pmol/L for premenopausal women, and 44.15 (37.20–54.33) pmol/L for postmenopausal women. The Mann-Whitney test showed significantly higher HE4 levels in postmenopausal women compared to premenopausal women (U=4391.5, p<0.001, r=−0.362). Reference limits were defined as follows: total population—62.43 (59.02–65.45) pmol/L; premenopausal—53.22 (50.80–60.82) pmol/L; postmenopausal—65.31 (61.57–68.35) pmol/L(Fig.
Distribution of the HE4 concentrations in the groups of premenopausal and postmenopausal women.
A Spearman’s Rho correlation coefficient was used to assess the relationship between age and HE4 levels. A significant positive correlation was found (rho=0.430, p<0.001). Pearson’s method also confirmed this linear relationship (r=0.43, p<0.0001). To determine whether age-specific reference ranges were necessary, the cohort was divided into four age groups: ≤39 years (n=68), 40–49 (n=56), 50–59 (n=69), and ≥60 years (n=52). The medians and IQRs were: ≤39—36.50 (31.83–41.00) pmol/L; 40–49—37.35 (32.05–44.70) pmol/L; 50–59—41.40 (35.50–47.70) pmol/L; and ≥60—47.70 (37.65–61.50) pmol/L. The Kruskal-Wallis test revealed significant differences among age groups (χ2(3)=33.51, p<0.001), with post-hoc tests identifying differences particularly between younger and older groups. The upper reference limits (95% CI) by age were: ≤39—54.86 (48.93–73.16) pmol/L; 40–49—57.64 (51.47–60.82) pmol/L; 50–59—60.85 (56.06–63.15) pmol/L; and ≥60—68.84 (63.84–71.63) pmol/L. Due to overlapping confidence intervals, age-decade-specific reference ranges were not deemed necessary. (Fig.
To evaluate the combined effect of age and menopausal status, women were stratified by age within premenopausal and postmenopausal groups. Due to limited sample sizes, only certain subgroups were compared. In premenopausal women, Spearman’s correlation showed no significant relationship between age and HE4 levels (p>0.05). In postmenopausal women, a significant correlation was observed (rho=0.316, p<0.001), with higher HE4 levels in those aged >60 years compared to 50–59 years (U=1195.0, p=0.012, r=−0.235). Age-specific upper reference limits in postmenopausal women were: 50–59 years—61.27 (56.44–64.06) pmol/L; >60 years—68.84 (63.76–71.63) pmol/L. Table
| Group | Reference range (Р95) | 95% Confidence interval | Units | |
| HE4 premenopausal | 53.22 | 50.8 | 60.82 | pmol/L |
| НЕ4 postmenopausal, total | 65.31 | 61.57 | 68.35 | pmol/L |
| НЕ4 postmenopausal, <59 years | 61.27 | 56.44 | 64.06 | pmol/L |
| НЕ4 postmenopausal, >60 years | 68.84 | 63.76 | 71.6 | pmol/L |
The results indicate that HE4 concentration increases with advancing age. However, no statistically significant differences were observed between the individual subgroups of premenopausal women. This supports the use of a single upper reference limit for this group. The proposed reference limit of 53.22 pmol/L (95% CI: 50.8 to 60.82) differs significantly from the manufacturer’s recommended threshold of 70 pmol/L.
In the group of postmenopausal women, a statistically significant difference was observed between the 95th percentile for the overall group (65.31 pmol/L) and the manufacturer’s proposed limit (140 pmol/L), as well as between the two age subgroups—those aged ≤59 and >60 years (61.27 pmol/L vs. 68.84 pmol/L, respectively).
These findings demonstrate that age is the primary factor contributing to increased HE4 concentrations, rather than the hormonal status of the woman.
In addition to the identified linear correlation between HE4 and age, non-linear relationships were also explored. Fig.
Among 52 healthy pregnant women in the first (n=26) and second (n=26) trimesters (gestational age ≤26 weeks), mean age was 30.98±4.18 years, Shapiro-Wilk’s test confirmed normal distribution (p>0.05), allowing parametric methods. Median (IQR) and mean (SD) HE4 values were overall—35.65 (29.83–42.90) and 36.73 (8.20) pmol/L; first trimester—38.10 (33.03–46.80) and 39.66 (8.95) pmol/L; second trimester—33.65 (29.55–36.80) and 33.80 (6.26) pmol/L. The overall upper reference limit was 50.90 pmol/L. Student’s t-test showed significant differences between the two trimesters (t=2.735, p=0.009): first trimester—<57.73 pmol/L; second trimester—<46.35 pmol/L (Fig.
Given that HE4 is primarily cleared via glomerular filtration, impaired renal function may cause elevated serum HE4, risking misinterpretation. Therefore, this study evaluated the relationship between HE4 levels and impaired renal function, indicated by elevated creatinine or decreased estimated glomerular filtration rate (eGFR) (Fig.
For accurate assessment of diagnostic performance and for the purpose of achieving optimal sensitivity and specificity of any biomarker or diagnostic algorithm, the correct choice of threshold value is of utmost importance. This is particularly true for biomarkers used in oncological disease management. Initially, reference ranges or threshold values recommended by the test manufacturer are commonly used. According to the Abbott Diagnostics insert[
To determine the impact of pregnancy, comparisons between pregnant and non-pregnant women of the same age group revealed no statistically significant differences. These findings align with existing literature[
Since renal clearance is the primary elimination pathway for HE4, it is essential to understand how renal impairment affects HE4 levels. Analysis of 84 patients with varying degrees of kidney dysfunction—from normal to end-stage renal disease—revealed a strong correlation between creatinine and HE4. Spearman’s rho showed a significant positive correlation (rho=0.871, p<0.001), and a strong negative correlation with eGFR (rho=−0.894, p<0.001). These findings are consistent with other reports and highlight potential errors when interpreting HE4 results in patients with impaired renal function.[
This study established that HE4 reference limits in the Bulgarian female population differ significantly from those recommended by Abbott Diagnostics for both premenopausal and postmenopausal women. A positive correlation between HE4 levels and age was confirmed. In pregnant women, HE4 concentrations did not differ significantly from those in age-matched non-pregnant women, regardless of gestational stage, indicating that pregnancy-specific reference ranges are unnecessary. A strong linear relationship between renal impairment and elevated HE4 levels was observed, necessitating cautious interpretation in patients with reduced renal function, which limits HE4’s clinical applicability in this group.
This research received no external funding.
The authors declare no conflict of interest.