Oncoprotein E6 as a Diagnostic Marker in Human Papillomavirus-Associated Cervical Cancer Screening.
AbebeHabteselassie
MPH
1✉
Email
BeleteWoldesemayat
MSc
1
Email
JaletaBulti
MPH
1
Email
MinilikDemissie
PhD
1
Email
DerbachewAsfaw
PhD
1
Email
IbrahimHeyredin
MPH
1
Email
HezkielMamo
MD, OB-GYN
2
Email
AbejeKebede
MPH
1
Email
KidistZealiyas
PhD
1
Email
KifluItefa
MPH
1
Email
AmeleworkYilma
MSc
1
Email
GetahunFetensa
MPH
1
Email
GetenetHailu
MSc
1
Email
LemessaNegeri
MPH
1
Email
WegeneTamene
PhD
1
EmailEmail
GemechuGudeta
MPH
1
GutemaBulti
MSc
1
Email
FeyisoBati
MPH
1
Email
BirraBejiga
MPH
1
Email
GetachewTollera
MD, MPH
1
Email
GemechuTadesse
PhD
1
Email
WudineshBelete
MPH
1
Email
AbebeHabteselassieDemissie1
E-mails1
1
A
A
A
Ethiopian Public Health InstituteAddis AbabaEthiopia
2ICAP-EthiopiaAddis AbabaEthiopia
Abebe Habteselassie, MPH1*, Belete Woldesemayat, MSc1†, Jaleta Bulti, MPH1, Minilik Demissie, PhD1, Derbachew Asfaw, PhD1, Ibrahim Heyredin, MPH1, Hezkiel Mamo, MD, OB-GYN2, Abeje Kebede, MPH1, Kidist Zealiyas, PhD1, Kiflu Itefa, MPH1, Amelework Yilma, MSc1, Getahun Fetensa, MPH1, Getenet Hailu, MSc1, Lemessa Negeri, MPH1, Wegene Tamene, PhD1, Gemechu Gudeta, MPH1, Gutema Bulti, MSc1, Feyiso Bati, MPH1, Birra Bejiga, MPH1, Getachew Tollera, MD, MPH1, Gemechu Tadesse, PhD1, and Wudinesh Belete, MPH1†.
1. Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
2. ICAP-Ethiopia, Addis Ababa, Ethiopia.
*Corresponding author: Abebe Habteselassie Demissie, E-mails: abebehabte987@gmail.com
Contributing authors: beleteweldesemeyat@gmail.com; jaletabultit@gmail.com; minewdem@gmail.com; dasfaw469@gmail.com; ibraheyru04@gmail.com
hezkielpet@gmail.com; kabeje03@gmail.com; kzealiyas@gmail.com; kimf2002@gmail.com; sameleworkyilema@yahoo.com; getahunfetensa46@gmail.com; getnethailu21@gmail.com; nlemessa@gmail.com; wegeneta7@gmail.com; webogeme@gmail.com; gutebdi@gmail.com; fayenurs@gmail.com; birr4allephi@gmail.com; getachew.tollera@gmail.com; gemechut_2006@yahoo.com; beletewudinesh@gmail.com
Belete Woldesemayat MSc and Wudinesh Belete MPH contributed equally to this work.
Abstract
Background
Cervical cancer remains a significant public health challenge in resource-limited settings due to inadequate access to resource-intensive screening methods. This study aimed to evaluate the performance of the OncoE6 cervical test using histology as a reference method.
Method
A
A facility-based cross-sectional study was conducted from November 2022 to June 2023. A total of 303 samples were collected from six hospitals across three regions of Ethiopia. The OncoE6 cervical test and Visual Inspection with Acetic Acid (VIA) were evaluated among women with negative and positive histology test results. Statistical analysis was performed using SPSS version 28 and MedCalc version 22.014. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and Receiver Operating Characteristic (ROC) curve were calculated.
Result
The sensitivity of the OncoE6 test was 59.4% (95% CI: 49.5%-68.9%), and specificity was 98% (95% CI: 94.9%-99.4%). The PPV was 94.0% (95% CI: 85.51–97.68%), while the NPV was 81.8% (95% CI: 78.07–84.97%). The VIA sensitivity, specificity, PPV, and NPV against histology were 95.8% (95% CI: 88.14%-99.12%), 26.4% (95% CI: 16.70%-38.10%), 41.2% (95% CI: 37.69–44.79%), and 92.1% (95% CI: 78.21–97.40%), respectively. The ROC curve showed an AUC of 0.80 for OncoE6 (p < 0.001) and 0.61 for VIA (p < 0.001). OncoE6 positivity increased with higher lesion grades. Additionally, the Sensitivity and specificity of the parallel (either OncoE6 OR VIA positive) were 84.0% (95% CI: 75.57–90.37) and 72.1% (95% CI: 65.26–78.22), respectively.
Conclusion
In this study, a high specificity of OncoE6 and a high sensitivity of VIA were observed. Using both in a parallel approach improved screening performance and can strengthen cervical cancer screening in resource-limited settings, but further community-based evaluation is still needed.
Keywords:
Cervical cancer
Evaluation
OncoE6
VIA
Screening method
A
Introduction
Cervical cancer is the fourth most common cancer case and mortality among women, accounting for about 662,000 new cases and 349,000 deaths in 2022 globally (1). About 291 million women around the world carry Human papillomavirus (HPV) DNA, of whom 32% are infected either with HPV-16, HPV-18, or both (2). Effective screening and early treatment can effectively reduce morbidity and mortality associated with this disease (3).
The association between high-risk human papillomavirus (HR-HPV) infection and invasive cervical cancer (ICC) is well established. HPV genotypes 16 and 18 are responsible for more than 70% of ICC cases (4). ICC is the most frequently diagnosed cancer in 23 countries and the leading cause of cancer death in 36 countries, mostly found in Sub-Saharan Africa (5). In Ethiopia, the prevalence of ICC is 22 per 100,000, with 7,445 new cases and 5,338 deaths reported in 2020 (6). A study at Tikur Anbesa Specialized Hospital found that cervical cancer is the most common type of cancer among women (39.7%), followed by breast (18.3%) and ovarian cancer (7.1%) (7).
To eliminate cervical cancer, the World Health Organization (WHO) set a 2030 target of screening 70% of women with a high-performance test twice by the ages of 35 and 45 (1). Available screening methods include liquid-based cytology, HPV DNA PCR, Visual Inspection with Acetic Acid (VIA), and Visual Inspection with Lugol's Iodine (VILI), which are currently used in Ethiopia (6). HPV-DNA-based screening is a more effective tool for cervical cancer screening than the other alternatives (8), and WHO recommends HPV-based screening where resources are available. However, in low-resource settings, VIA remains the primary option, despite its inconsistent accuracy and high false-positive rates (20–50%), which lead to unnecessary referrals, increased costs, and overtreatment (7, 9).
HPV and cytology-based screening methods are rarely feasible in low- and middle-income countries (LMICs) due to cost, infrastructure needs, and the requirement for well-trained staff (8). This underscores the importance of affordable and effective screening options. In this context, the OncoE6™ Cervical Test presents a possible alternative, as it is a qualitative assay that detects elevated levels of the E6 oncoprotein expressed in cells infected by HPV-16 and HPV-18. High levels of E6, combined with clinical evaluation, suggest the presence or increased risk of precancerous or cancerous lesions (10). This study evaluated the diagnostic performance of the OncoE6™ test using histology as the reference standard. Additionally, the study compared the performance of the VIA screening method alongside OncoE6™ in detecting cancerous or precancerous lesions.
Methods and Materials
Study design and settings
A facility-based cross-sectional study was conducted from November 2022 to June 2023 in selected health facilities across three regions of Ethiopia: Addis Ababa (Zewditu Memorial Hospital, Abebech Gobena Maternal and Child Hospital, Family Guidance Association Maternal and Child Health Centre), Oromia (Jimma University Specialized Hospital), and Amhara (Felege Hiwot General Specialized Hospital, and Bahirdar University Tibebe Ghion Specialized Hospital). These facilities provide histology services from cervical biopsy samples to diagnose cervical cancer and precancerous changes, as well as screening and treatment programs.
Study population
All women aged 25 to 75 years who visited the selected health facilities during the study period, met the inclusion criteria, and gave consent to participate were included. Women who agreed to provide samples for OncoE6 and histology but not for VIA were also included. Eligible participants had no prior diagnosis of cervical cancer/precancerous changes, no congenital abnormalities preventing cervical access, and were physically able to undergo routine screening. Pregnant women, those with hysterectomies and those treated for precancerous cervical lesions within the last six months were excluded.
Sampling and sample size determination
Six health facilities were purposively selected and included in the study based on the availability of cervical biopsy services and their caseload. Furthermore, these health facilities had histology testing setups for pathology services and also had a higher number of cases identified as cervical cancer by histology testing for the last six months. The minimum sample size required for the sensitivity and specificity analysis was calculated by using PASS software (PASS 11, NCSS, LLC). The sample size calculation considered the disease prevalence of 20% (11), with 80% statistical power and a 95% confidence level for sensitivity and specificity. Based on the above assumptions, the minimum sample size required for this study was determined to be 245. In our study, the final sample size was 303.
Test Procedures
In this study, each participant provided two cervical samples: the first for the OncoE6™ Cervical Test (Arbor Vita Corporation, Fremont, CA, USA) and the second for histological examination. The VIA technique was performed by experienced nurses or midwives, and results were documented prior to collecting the biopsy sample. This sampling order was maintained consistently throughout collection, storage, and transportation. Samples for the OncoE6™ test were stored at -20°C until testing. Histology specimens were processed according to established protocols of the respective health facility, ensuring proper fixation, sectioning, and staining to facilitate accurate microscopic evaluation. Histopathological examinations were performed at the collection facility based on their standards. Pathologists were blinded to the OncoE6 and VIA results. Slides were reviewed by two pathologists, and in cases of disagreement, a third pathologist was consulted, and the final diagnosis was reached by discussion. The OncoE6™ samples were transported to the Ethiopian Public Health Institute (EPHI) national HIV reference laboratory using a triple packaging system with dry ice and temperature monitoring in place. OncoE6™ test results were kept confidential and not disclosed to participants. They were recorded in study data collection forms with anonymous identification numbers, age, date, and site, without names and addresses.
OncoE6™ testing method
Samples were lysed with the kit reagent and centrifuged at 10,000g for 10 minutes. A 200µL aliquot of the supernatant was incubated again with the lysis and conditioning solutions. After five minutes of incubation with solubilized detector monoclonal antibody (mAb) solution, samples migrated over the strip for 55 minutes, then underwent color development with Alkaline Phosphatase (AP) substrate for another 20 minutes, followed by visual inspection. The tests were performed by trained personnel experienced in serological assays, with biopsy results blinded from the tester. All procedures and interpretations followed the manufacturer's instructions (10).
Visual Inspection with Acetic Acid (VIA)
In this study, VIA was included as one of the comparator methods and was performed in the selected health facilities. VIA cervical lesion screening technique is performed by applying 3–5% acetic acid solution to the cervix and then visually inspecting any aceto-white changes indicating abnormal cellular activity in the area (1).
Histology test (Reference Method)
In the current study, the histology test was used as the reference standard to evaluate the OncoE6™ rapid testing method. After tissue sample collection from the cervix, the sample underwent fixation, was embedded in paraffin wax and stained in the health facility's pathology centre. The Pathologists examine these stained sections under a microscope to identify any histopathological changes (12). All histology results were given back to each participant for further treatment and patient management.
Data collection
The questionnaire was developed specifically for this study based on a review of previous literature and expert opinion, and used to collect information on socio-demographic, behavioral and gynecological characteristics of the study participants (Supplementary file 1). The information was completed by the health care provider and transferred to the study data manager every week.
Quality assurance
During the evaluation phases, quality assurance was maintained throughout the study. Room and refrigerator temperature monitoring were performed twice a day. The OncoE6 kit includes an internal quality control system with a built-in control line, which the testers followed strictly. Standard operating procedures ensured that tests were performed correctly and results were properly recorded.
Data Analysis
Statistical analyses were performed using the SPSS statistical package, version 28.0 and MedCalc statistical software, version 22.014. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated with a 95% confidence interval. Thresholds were established for acceptable levels of agreement between the reference technique and the assay being evaluated using the receiver operating characteristic (ROC) curve. Sensitivity and specificity were calculated using histology as the reference standard, where Cervical Intraepithelial Neoplasia 2+ (CIN2+) includes CIN2, CIN3, Carcinoma in Situ (CIS), and invasive carcinoma represented positive cases, and CIN2- (normal, chronic cervicitis, and CIN1) represented negative cases.
Ethical Considerations
All procedures involving human participants were reviewed and approved by the Ethiopian Public Health Institute Institutional Review Board (EPHI-IRB) with approval number EPHI-IRB-347-2021.
A
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.
A
Written informed consent was obtained from all individual participants included in the study. Confidentiality was maintained by not collecting identifying information, restricting data access, and using sample code numbers. The sample code number was used to identify each study participant.
A
Written informed consent was obtained from each participant after explanation about the study’s purpose, procedures, risks, and benefits in their preferred language by a trained data collector.
A
Participants were encouraged to ask questions, consult family, and take adequate time before providing written consent.
Funding Declaration
This research received no external funding.
Operational definition
Either OncoE6 OR VIA positive
Defined as a positive result if a participant or a sample tested positive on at least one of the two methods, OncoE6 or VIA.
Performance
The ability of a testing method (OncoE6™ or VIA) to identify true negative and positive cases when compared with the reference standard (histology).
Positive for histology
The standard reporting formats for positive histology are CIN2+, carcinoma in situ and squamous cell carcinoma.
Negative for histology
Negative for dysplasia, non-specific cervicitis, benign cervical polyp.
Results
Socio-demographic characteristics of the participants
A total of 307 samples were initially included; however, four were excluded due to poor sample quality (bloody or insufficient sample volume), which left 303 for final analysis. The mean age of the participants was 48.4 years (SD ± 10.77). The majority, 109 (37.5%), of participants were between the ages of 50 and 59 years old. More than half of the women, 190 (62.7%), were married. In terms of education, 127 (42.3%) had no formal education, 50 (16.7%) attended primary school, 59 (19.7%) completed secondary education, and 64 (21.3%) had tertiary education. Regarding gynaecologic and behavioural characteristics of participants, the majority, 190 (63.1%), were in the menopause stage, 139 (53.1%) reported their first sexual intercourse between ages 15 and 19, and 139 (53.7%) had two or more sexual partners. Seventy-nine (26.2%) had a history of sexually transmitted infections, while only 1.8% reported smoking. Histology showed that 158 (52.1%) had CIN1, followed by CIN2/3, 56 (18.5%), invasive cancer, 39 (12.9%), and carcinoma in situ, 11 (3.6%) (Supplementary file 2).
Diagnostic Performance of OncoE6 and VIA
Overall, 67 of 303 women (22.1%) tested positive using the OncoE6 lateral flow assay. Among those who tested positive, 97.7% had HPV-16, 1.7% had HPV-18, and 0.7% had dual infections. VIA was performed on 143 women, 84.6% of whom tested positive. Histology confirmed CIN2 + in 106 women (34.98%). Correlation analysis showed a strong correlation between histology and OncoE6 (r = 0.66, P < 0.0001), while VIA had a weaker correlation with histology (r = 0.34, P < 0.0001) and with OncoE6 (r = 0.27, P < 0.0001 (Fig. 1).
Fig. 1
Proportion and correlation of VIA, OncoE6 and Histology in selected health facilities in Ethiopia, 2023.
Click here to Correct
For OncoE6, sensitivity was 59.4% (95% CI: 49.5–68.9), specificity 97.9% (95% CI: 94.9–99.4), PPV 94.0% (95% CI: 85.5–97.7), and NPV 81.8% (95% CI: 78.1–85.0). Overall accuracy was 84.5% (95% CI: 79.9–88.4), with a kappa of 0.63 (95% CI: 0.53–0.72) (Table 1). The ROC analysis showed that the area under the curve (AUC) was 0.80 (p < 0.001), indicating good diagnostic accuracy; the test's ability to distinguish between true positive and true negative was statistically significant (Fig. 2).
Table 1
Diagnostic performance of OncoE6 and VIA test in selected health facilities in Ethiopia, 2023.
Methods
True positive (TP)
True Negative (TN)
False Positive (FP)
False Negative (FN)
Sensitivity
% (95% CI)
Specificity
% (95% CI)
PPV
% (95% CI)
NPV
% (95% CI)
Accuracy
% (95% CI)
Kappa value
K (95% CI)
OncoE6
63
193
4
43
59.43
(49.46–68.87)
97.97
(94.88–99.44)
94.03 (85.51–97.68)
81.77 (78.07–84.97)
84.48 (79.91–88.37)
0.63
(0.53–0.72)
VIA
68
19
53
3
95.77
(88.14–99.12)
26.39
(16.70–38.10)
41.20 (37.69–44.79)
92.06 (78.21–97.40)
50.67 (42.19–59.13)
0.22
(0.11–0.33)
Either OncoE6 OR VIA positive
89
142
55
17
83.96%75.57% to 90.37%
72.08%65.26% to 78.22%
61.82%56.04% to 67.29%
89.30%84.26% to 92.86%
76.24%71.04% to 80.92%
0.50
(0.41–0.60)
Fig. 2
ROC curve analysis of OncoE6 and VIA against Histology in selected health facilities in Ethiopia, 2023.
Click here to Correct
For the VIA evaluation, 143 participants were included; the sensitivity was 95.77% (95% CI: 88.14–99.12), and the specificity was 26.39% (95% CI: 16.70–38.10). The PPV was 41.20% (95% CI: 37.69–44.79), and the NPV was 92.06% (95% CI: 78.21–97.40). The accuracy and Kappa value were 50.67% (95% CI: 42.19–59.13) and 0.22 (95% CI: 0.11–0.34), respectively. The ROC analysis showed that the AUC was 0.61 (P < 0.001) (Table 1 and Fig. 2). Additionally, we analysed a parallel strategy (OncoE6 OR VIA positive), sensitivity and specificity were 84.0% (95% CI: 75.6–90.4) and 72.1% (95% CI: 65.3–78.2), respectively (Table 1).
Fig. 3
OncoE6 positivity with histology grades in selected health facilities in Ethiopia, 2023.
Click here to Correct
Factors Associated with the positivity rates
As shown in Tables 2 and 3, CIN-1 was most common among women aged 40 to 54, and the age group greater than 55 was 61(50%) and 65 (63.73%), respectively. These age groups had significantly higher odds of being with CIN-1, CIN-2/3, and ICC/CIS (P < 0.05). OncoE6 positivity was slightly higher in the age of 40–54 (AOR: 1.67; 95% CI: 0.62–4.48) and 55 + years (AOR: 1.10; 95% CI: 0.38–3.20); however, these associations are not statistically significant (P > 0.05). Married women were more likely to have CIN1 (AOR: 11.7; 95% CI: 1.4–96.9). Women without formal education were significantly associated with OncoE6 and VIA positivity (p < 0.05). Women who cannot read and write were linked to higher rates of CIN1 (28.2%) and CIN2/3 (32.3%), but these associations were not statistically significant (p > 0.05) (Tables 2 and 3). OncoE6 positivity increased with disease severity: 54.5% in CIN2/3 and 64.7% in ICC/CIS, while 50% of normal, 92.5% CIN1, and 95.8% CIN2 + were positive for VIA (Fig. 3)
Table 2
Associations of sociodemographic and behavioral factors with histology results in selected health facilities in Ethiopia, 2023.
Variables
Biopsy result
Normal
N (%)
CIN-1
CIN-2&3
ICC/CIS
N (%)
COR
(95% CI)
AOR
(95% CI)
P-value
N (%)
COR
(95% CI)
AOR (95% CI)
P-value
N (%)
COR
(95% CI)
AOR
(95% CI)
P-value
age
             
25- 39yrs
24(35.29)
28 (41.18)
1
1
 
9(13.24)
1
1
 
7 (10.29)
1
1
 
40-54yrs
13(10.66)
61(50)
4.02 (1.79–9.04)
8.4 (2.43–29.3)
0.001*
20 (16.39)
4.1(1.46–11.57)
1.76 (0.51–6.08),
0.369
28 (22.95)
7.4
(2.5–21.5)
6.89 (1.39–34.16)
0.018*
55+
1(0.98)
65 (63.73)
54.9 (7.1-425.7)
63.2 (6.38–625.9)
< 0.001*
24 (23.53)
64.0 (7.5–545.08)
23.7 (2.3- 238.8)
0.007*
12 (11.76)
44.6
(4.9–402.0)
39.4 (2.86–543.11
0.003*
Marital status
             
Unmarried
5 (38.46)
3 (23.08)
1
1
 
5(38.46)
1
1
 
0 (0)
1
  
Married
23 (12.1)
105 (55.3)
7.6 (1.70-34.13)
11.7 (1.4–96.89)
0.023*
35 (18.42)
1.52 (0.40–5.85
2.18 (0.39–12.16)
0.372
27 (14.21)
-
-
< 0.001*
Divorced
7 (12.73)
27 (49.09)
6.43 (1.23–33.65
10.21 (0.9 -104.2)
0.050
8 (14.55)
1.14 (0.23–5.67
2.08 (0.27–16.18)
0.484
13 (23.6)
-
-
-
Widowed
4 (8.89)
24 (53.33)
9.58 (1.61–56.95)
10.3 (0.9–118.8)
0.063
7(15.56)
1.75(0.31–10.02
1.34 (0.15–12.22)
0.795
10 (22.2)
-
-
< 0.001*
Educational Status
             
No education
12 (9.68)
35 (28.23)
0.33 (0.11–1.02)
0.22 (0.05–1.01)
0.056
40(32.26)
5.0 (1.21–20.69)
6.04 (0.96–37.97)
0.055
37 (29.84)
9.5 (1.69–53.42)
3.43 (0.44–26.96),
0.241
Primary
6 (12)
30 (60)
0.58 (0.17–1.95)
0.38 (0.08–1.8)
0.224
6(12)
1.5(0.28–8.19)
0.86 (0.11–6.83)
0.882
8 (16)
4.0 (0.59–27.25)
0.59 (0.06–6.21)
0.666
Secondary
11(18.64)
40 (67.8)
0.42 (0.14–1.23)
0.56 (0.14–2.22)
0.412
5(8.47)
0.68(0.13–3.55)
1.15 (0.17–7.82)
0.890
3 (5.08)
0.85 (0.11–6.34)
0.46 (0.04–4.99)
0.520
Tertiary
6 (9.38)
52 (81.25)
1
1
 
4(6.25)
1
1
 
2 (3.13)
1
1
 
Age of first sex
             
< 15yrs
1(3.85)
12(46.15)
2.1 (0.21–21.10)
6.43 (0.35–119.57)
0.212
9(34.62)
12.0 (0.94–153.89)
9.16 (0.35–238.55)
0.183
4 (15.38)
-
-
-
15-19yrs
27(19.42)
59(42.45)
0.4 (0.13–1.33)
1.11 (0.23–5.37)
0.899
30(21.58)
1.48 (0.30–7.23)
1.54 (0.18–13.53)
0.696
23 (16.55)
-
-
-
20-24yrs
6(8.7)
49(71.01)
1.6 (0.41–6.21)
2.15 (0.380–12.111)
0.387
9(13.04)
2.00 (0.32–12.33)
2.42 (0.24–24.31)
0.452
5 (7.25)
-
-
-
25+
4(13.79)
22(75.86)
1
1
 
3(10.34)
1
1
 
0 (0)
1
  
History of STI
             
Yes
10(12.66)
55(69.62)
1.6 (0.72–3.48)
1.59 (0.56–4.45)
0.382
6(7.59)
0.36 (0.12–1.08)
-
-
8 (10.13)
0.54 (0.19–1.53)
0.40 (0.08–1.99)
0.265
No
29(13.06)
102(45.95)
1
1
 
49(22.07)
1
1
 
42 (18.92)
1
1
 
AOR, adjusted odds ratios; COR, crude odds ratios; CI, confidence interval. (*) Statistically significant at p ≤ 0.05.
CIN: Cervical Intraepithelial Neoplasia; CIS: Carcinoma In Situ; ICC: Invasive Cervical Cancer; VIA: Visual Inspection with Acetic Acid;
Table 3
Associations of sociodemographic and behavioral factors with VIA and OncoE6 results in selected health facilities in Ethiopia, 2023.
Variables
VIA
OncoE6
Negative
N (%)
Positive
N (%)
COR
(95% CI)
AOR
(95% CI)
P-value
Negative
N (%)
Positive
N (%)
COR
(95% CI)
AOR
(95% CI)
P-value
age
          
25- 39yrs
11(16.67)
45 (68.18)
1
1
 
57(83.82)
11(16.18)
1
1
 
40-54yrs
10(8.26)
51 (42.15)
0.99(.40-2.49)
-
0.724
90 (73.77)
32 (26.2)
1.84(0.86–3.94)
1.67 (0.62, 4.48)
0.313
55+
0 (0)
17 (16.67)
-
-
-
80(78.4)
22 (21.6)
1.43(0.64–3.17)
1.10
(0.38, 3.20)
0.866
Marital status
          
Unmarried
1(7.69
7 (53.85)
1
1
 
7(53.85)
6(46.15)
1
1
 
Married
14 (7.45)
68 (36.17)
0.59 (0.07–5.14)
0.71 (0.05–9.65)
0.800
152(80)
38(20)
3.43 (1.09–10.80)
0.32 (0.07–1.51)
0.151
Divorced
4 (7.41)
27(50)
0.96 (0.09–10.05)
1.31 (0.29–5.7)
0. 337
45(81.82)
10(18.2)
3.86 (1.06–13.98)
0.51 (0.09, 2.84)
0.439
Widowed
3 (6.67)
19(42.22)
0.91 (0.08–10.21)
1.01 (0.04–23.97)
0 .995
32(71.11)
13(28.9)
2.11(0.59–7.49)
0.56 (0.10, 3.10)
0.504
Educational Status
          
No education
6(4.88)
77(62.6)
12.83 (3.15–52.24)
34.27 (1.47–799.5)
0.028*
70(56.45)
54(43.6)
15.69 (4.67–52.72)
16.76 (3.58–78.41)
< 0.0001*
Primary
4(8)
15(30)
2.80(0.61–12.86)
10.62
(0.44-257.92)
0.147
45 (90)
5(10)
2.26 (0.51–9.95)
1.62 (0.25–10.65)
0.617
Secondary
5(8.62)
18(31.03)
3.60(0.80–16.20)
4.44
(0.21–93.53)
0.337
54(91.53)
5(8.47)
1.88 (0.43–8.25)
2.12 (0.38–11.89)
0.394
Tertiary
5(7.94)
7(11.11)
1
1
 
61(95.31)
3(4.69)
1
1
 
Age of first sex
          
< 15yrs
0(0)
12(48)
-
-
-
15(57.69)
11(42.31)
19.8 (2.32-168.66)
4.01 (0.37–43.66)
0.255
15-19yrs
17(12.2)
60(43.17)
1.02 (0.10-10.37)
-
< 0.001*
101
(72.66)
38(27.3)
10.16 (1.33–77.38)
3.05 (0.32–28.82)
0.331
20-24yrs
4(5.88)
12(17.65)
1.00 (0.08–12.56)
-
-
63 (91.3)
6(8.7)
2.53 (0.29, 22.04)
1.46 (0.14–15.23)
0.744
25+
1(3.45)
3(10.34)
1
1
-
28(96.55)
1(3.45)
1
1
 
History of STI
          
Yes
1(1.3)
40(51.95)
11.65 (1.52–89.38)
15.38
(0.96–247.1)
0.054
73(92.41)
6(7.59)
-
-
-
No
21(9.5)
81(36.65)
1
1
 
161
(72.52)
61(27.5)
1
  
*indicates level of significance < 0.05
STI: Sexually Transmitted Infection AOR, adjusted odds ratios; COR, crude odds ratios; CI, confidence interval. (*) Statistically significant at p ≤ 0.05
Discussion
This study evaluated the diagnostic performance of the OncoE6™ lateral flow test against histology, assessed VIA performance and examined factors associated with test positivity among women over 25 years old in Ethiopia. The study found that the OncoE6 test had moderate sensitivity (59.4%) and high specificity (98%), while VIA demonstrated high sensitivity (95.8%) but low specificity (26.4%). When used in parallel (OncoE6 OR VIA positive), sensitivity improved to 83.7% with a specificity of 71.4%. Age, education, and age at first sexual intercourse were significantly associated with test positivity.
In this study, the diagnostic performance of OncoE6 (sensitivity 59.4%, specificity 98%, PPV 94.0%, NPV 81.8%) was consistent with findings from Bangladesh (52% sensitivity, 97% specificity) (9) and Burundi (58.3% sensitivity, 97.9% specificity among CIN3 + HIV-positive women) (14). Our results also showed that OncoE6 positivity increased with disease severity, from 2.5% in CIN1 to 54.5% in CIN2/3 and 64.7% in invasive cancer or carcinoma in situ (Fig. 3). This pattern has been documented in other studies, where OncoE6 sensitivity rises for higher-grade lesions, particularly CIN3+ (9, 13–16). This increase is due to its detection of HPV16/18 E6 oncoproteins, which are more strongly associated with advanced lesions (17, 18).
A
A
Despite its specificity, OncoE6 may miss cases caused by non-HPV16/18 genotypes, which are prevalent in Ethiopia, where HPV16/18 account for 64–90% of cervical cancers, but non-16/18 types remain significant (18, 19). Lower sensitivity has also been reported elsewhere, including Zambia (31%) (16), Burundi (42.1% for CIN2+) (14), and China (42.4% for CIN2 + and 53.5% for CIN3+) (15), although specificity consistently exceeded 95% (14, 15). This variability may reflect differences in genotype distribution, regional E6 gene mutations (20), and test methodology (21). For example, Yang et al. (20) reported E6 gene mutations in HPV16/18 among cervical cancer patients in Southwest China. This suggests that genetic variation may affect assay performance.
In our study, VIA showed high sensitivity (95.8%) and low specificity (26.4%), which aligned with reports from Pakistan (93.5% sensitivity) (22) and the Multicentric Study for Cervical Cancer Screening and Triage with Human Papillomavirus Tests (ESTAMPA) study (85.9% sensitivity for CIN3+) (23). In Ethiopia, VIA remains the main screening tool where cytology and molecular testing are not accessible (24). However, a systematic review by Sauvaget et al. (25) reported a higher specificity of 92%. Studies in Congo Kinshasa (sensitivity 55.5%, specificity 64.6%) (26) and Nigeria (sensitivity 60%, specificity 94.4%) (27) showed considerable variation. These variations reflect provider training and experience (e.g., physicians versus nurses), patient age (identifying low-grade lesions can be challenging in elderly patients), and benign conditions that resemble aceto-white changes, such as atrophy, immature metaplasia, and HPV infection (26, 28–30).
When OncoE6 and VIA were combined in a parallel strategy, sensitivity and specificity reached 84.0% and 72.1%, respectively. This finding suggests that using both methods simultaneously could significantly improve the overall diagnostic performance, specifically by enhancing the sensitivity of OncoE6 and the specificity of VIA. Similar improvements with dual testing have been reported in other studies (31, 32). This approach could improve screening effectiveness in low-resource settings where advanced tests are not available.
In this study, age was significantly associated with disease severity. Women over 40 were more likely to develop higher-grade lesions. Married women were more likely to have CIN1, while a lower educational background, particularly women with no formal education, was linked to increased positivity with both VIA and OncoE6. Early sexual debut (15–19 years old) was also associated with VIA positivity. Comparable findings have been reported in Addis Ababa, Ethiopia (33), and older age, early sexual activity, long marital duration, and low education were associated with CIN (34–36). The risk of high-grade CIN and cancer is especially elevated in women over 55 due to persistent HR-HPV infections (37). Limited education may contribute to higher risk by reducing awareness of HPV transmission, reducing access to screening and vaccination, and restricting healthcare access, particularly in rural areas (28, 38).
Limitations
This study has some limitations. The study did not include HPV genotyping to understand the distribution of HPV types since OncoE6 is limited to HPV 16/18. Another limitation is that VIA screening was not performed for all participants, which reduced the sample size and may have affected the sensitivity and specificity of the VIA method. Additionally, histology tests were performed by various pathologists at different sites, potentially introducing inter-observer variability.
Conclusion
Despite the moderate sensitivity of OncoE6 and the low specificity of VIA, our results showed a high specificity for the OncoE6 test and a high sensitivity for the VIA. In this study, we observed that using a parallel method (OncoE6 OR VIA positive) improved screening performance by increasing sensitivity. Integrating the OncoE6 lateral flow test with the existing VIA method offers a practical and effective way for early, on-site detection of cervical lesions. This is particularly valuable in settings where HPV DNA tests or liquid-based cytology are not available. However, this combined method needs more evaluation in larger, community-based studies in resource-limited settings.
Declarations
List of abbreviations
CIN Cervical Intraepithelial Neoplasia
CIS Carcinoma in Situ
EPHI Ethiopian Public Health Institute
HIV Human Immune Deficiency Virus
HPV Human Papilloma Virus
HR-HPV High risk human papilloma virus
ICC Invasive Cervical Cancer
NPV Negative predictive value (NPV)
PPV Positive Predictive Value
ROC Receiver Operating Characteristic
VIA Visual Inspection with Acetic Acid
WHO World Health Organization
Ethics approval and consent to participate
All procedures involving human participants were reviewed and approved by the Ethiopian Public Health Institute Institutional Review Board (EPHI-IRB) with approval number EPHI-IRB-347-2021. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Written informed consent was obtained from all individual participants included in the study. Confidentiality was maintained by not collecting identifying information, restricting data access, and using sample code numbers. The sample code number was used to identify each study participant. Written informed consent was obtained from each participant after explanation about the study’s purpose, procedures, risks, and benefits in their preferred language by a trained data collector. Participants were encouraged to ask questions, consult family, and take adequate time before providing written consent.
Consent for publication
Not Applicable
A
Data Availability
The data supporting the findings of this study are available from the corresponding author upon request.
Competing Interests
The authors declare no competing interests
A
Funding
This research received no external funding.
A
Author Contribution
Conception and design: Abebe Habteselassie, Ibrahim Heyredin, Belete Woldesemayat and Wudinesh BeleteAdministrative support: Jaleta Bulti, Minilik Demissie, Gemechu Tadesse, and Getachew TolleraProvision of study materials or patients: Hezkiel Mamo, Kidist Zealiyas, Amelework Yilma, Getenet Hailu, Lemessa Negeri, Wegene Tamene, and Gemechu GudetaCollection and assembly of data: Kiflu Itefa, Gutema Bulti, Feyiso Bati, and Birra BejigaData analysis and interpretation: Belete Woldesemayat, Derbachew Asfaw, Abeje Kebede, Wudinesh Belete, Abebe Habteselassie and Getahun Fetensa, Minilik DemissieManuscript writing: All authorsFinal approval of manuscript: All authorsAccountable for all aspects of the work: All authors
Administrative support: Jaleta Bulti, Minilik Demissie, Gemechu Tadesse, and Getachew Tollera
Provision of study materials or patients: Hezkiel Mamo, Kidist Zealiyas, Amelework Yilma, Getenet Hailu, Lemessa Negeri, Wegene Tamene, and Gemechu Gudeta
Collection and assembly of data: Kiflu Itefa, Gutema Bulti, Feyiso Bati, and Birra Bejiga
Data analysis and interpretation: Belete Woldesemayat, Derbachew Asfaw, Abeje Kebede, Wudinesh Belete, Abebe Habteselassie and Getahun Fetensa, Minilik Demissie
Manuscript writing: All authors
A
Final approval of manuscript: All authors
Accountable for all aspects of the work: All authors
Acknowledgements
We extend our sincere gratitude to all individuals and institutions who contributed to this research, including the Ethiopian Ministry of Health and the Amhara Public Health Institute. We also deeply appreciate the dedication of the staff at the selected hospitals and thank all study participants for their willingness to participate in this research
Data Sharing Statement
The data supporting the findings of this study are available from the corresponding author upon request.
Author Contributions
Conception and design: Abebe Habteselassie, Ibrahim Heyredin, Belete Woldesemayat and Wudinesh Belete
Administrative support: Jaleta Bulti, Minilik Demissie, Gemechu Tadesse, and Getachew Tollera
Provision of study materials or patients: Hezkiel Mamo, Kidist Zealiyas, Amelework Yilma, Getenet Hailu, Lemessa Negeri, Wegene Tamene, and Gemechu Gudeta
Collection and assembly of data: Kiflu Itefa, Gutema Bulti, Feyiso Bati, and Birra Bejiga
Data analysis and interpretation: Belete Woldesemayat, Derbachew Asfaw, Abeje Kebede, Wudinesh Belete, Abebe Habteselassie and Getahun Fetensa, Minilik Demissie
Manuscript writing: All authors
Final approval of manuscript: All authors
Accountable for all aspects of the work: All authors
Authors’ disclosures of potential conflicts of interest
No potential conflicts of interest were reported by the authors.
Acknowledgements
We extend our sincere gratitude to all individuals and institutions who contributed to this research, including the Ethiopian Ministry of Health and the Amhara Public Health Institute. We also deeply appreciate the dedication of the staff at the selected hospitals and thank all study participants for their willingness to participate in this research.
Electronic Supplementary Material
Below is the link to the electronic supplementary material
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Tables
Appendix
Supplementary file 1: Data Abstraction tool for Onco E6 Cervical Cancer Screening Study
Supplementary file 2: Sociodemographic, Gynaecological and Behavioral characteristics of study participants.
Total words in MS: 4707
Total words in Title: 12
Total words in Abstract: 269
Total Keyword count: 5
Total Images in MS: 3
Total Tables in MS: 3
Total Reference count: 38