Combined Detection of ACTN4 and SCC-Ag is a Promising Serological Biomarker for Cervical Intraepithelial Neoplasia 3 or Worse: A Case-Control Study.

PURPOSE: Cervical cancer (CC) is a common malignancy in women. Squamous cell carcinoma antigen (SCC-Ag) and cancer antigen (CA)-125 are widely used to help diagnose CC, but novel tumour markers with superior sensitivity and specificity are needed. α-Actinin 4(ACTN4) is overexpressed in CC, though its diagnostic value for CC is unclear. This study examined the diagnostic value of ACTN4 and SCC-Ag as biomarkers for cervical intraepithelial neoplasia (CIN) 3 or worse.
METHODS: Women screened for CC at Fujian Medical University Union Hospital were recruited from 2017.1 to 2018.5. Cervical tissues and blood were collected at the same time. Patients pathologically diagnosed as CIN3+ or NILM/CIN1/CIN2 were classified into the case and control groups, respectively. ACTN4 mRNA and protein levels were detected through quantitative PCR and immunohistochemistry, respectively, and ACTN4 and SCC-Ag concentrations were analysed by ELISA. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood rate (PLR), negative likelihood rate (NLR), and Youden index (YI) of ACTN4 and SCC-Ag were evaluated. The optimum cut-off points for ACTN4 and SCC-Ag were determined by receiver operating characteristic (ROC) curve analysis, and accuracy was evaluated by the area under the ROC curve.
RESULTS: In total, 105 patients were classified as CIN3+ cases and 106 as controls. The median ACTN4 levels in case and control tissues were 10.6 and 4.15, respectively. The ACTN4 and SCC-Ag concentrations were significantly higher in cases than controls (PACTN4=0.0007; PSCC-Ag=0.0067). The sensitivity, specificity, PPV, NPV, PLR, NLR and YI of ACTN4 were 68.6%, 76.3%, 76.3%, 72.5%, 2.89, 0.41 and 44.9, respectively; SCC-Ag had a similar diagnostic value (P>0.05), and ACTN4 combined with SCC-Ag had a superior diagnostic value (75.6%, 87.5%, 88.6%, 73.7%, 6.05, 0.28, and 63.1, respectively).
CONCLUSION: Combined ACTN4 and SCC-Ag detection is a promising serological biomarker for patients with CIN3 or worse.

Introduction

Cervical cancer (CC) is the fourth most common cause of cancer in women worldwide and the most common cancer in women in eastern and middle Africa. Approximately 85% of the 528,000 new diagnoses of CC and 87% of the 266,000 deaths occur in less-developed regions all over the world.1 Persistent infection with one or more high-risk human papillomavirus (HR-HPV) types is closely associated with precancerous lesions and invasive cancer.2 The application of HPV DNA typing assays and cervical cytology has been undertaken in large numbers of hospital screenings for early cervical lesions.3 Among high-income countries, CC incidence and mortality have decreased by more than half over the past 30 years since the introduction of formal screening programmes.4 Unfortunately, malignancies of the cervix remain an important health issue in developing countries.1,4 Liquid-based cytology assays require shorter intervals and more experienced cytopathologists to ensure sensitivity and repeatability,5,6 which are lacking in developing countries. In contrast, asymptomatic women, especially elderly women, sometimes lack testing budgets and have little willingness to have exfoliated cells collected from the cervix, which is invasive and cannot be repeatedly collected in a short period of time. Thus, extensive screening for early cervical lesions using the HR-HPV test and cytological detection is difficult. Additionally, notwithstanding that late-stage patients have undergone extensive surgeries and systemic medical treatments, their recovery remains unpromising. Currently, squamous cell carcinoma antigen (SCC-Ag) and cancer antigen (CA)-1257 are helpful to diagnose patients with CC and have been widely used in clinical laboratories, but new serological tumour markers with superior sensitivity and specificity suitable for screening early cervical lesions still need to be identified.

α-Actinin 4 (gene name ACTN4) is an actin cross-linking protein composed of 911 amino acids that belongs to the spectrin superfamily and was first identified in 1998. ACTN4 is ubiquitously expressed in normal non-muscle cells, and this protein is involved in regulating the binding of actin fibres by interacting with cell membranes. Additionally, this protein plays an essential role in regulating cellular signalling pathways correlated with various types of cancer progression and poor patient prognosis, which are involved in the invasion and metastasis of various cancer cells, such as colorectal cancer, pancreatic cancer, and ovarian cancer.9–11 In particular, ACTN4 plays an important role in the epithelial-to-mesenchymal transition, cancer stem cell properties and chemoresistance in CC,12–14 indicating that it may facilitate cell migration and invasion. In addition, HPV16 E6, a famous HR-HPV-related oncoprotein, is involved in CC cell migration and invasion via ACTN4.15 Furthermore, it has been reported that ACTN4 from cervicovaginal fluid can discriminate patients with CC and patients infected by HR-HPV,16–18 and ACTN4 mRNA in serum is elevated in patients with breast cancer.19 Therefore, ACTN4 in blood may have potential screening abilities for early cervical lesions.

SCC-Ag was first described by Kato and Tarigoe (1977) in neutral and acidic sub-fractions of tumour antigen 4 (TA-4). Squamous cell cervical carcinomas constitute85–90% of all cervical carcinomas. Elevated serum SCC levels have been detected in 28–88% of cervical squamous cell carcinomas.20 The study of two or more biological markers in serum to increase the sensitivity and specificity of early screening of malignant tumours by making up their own blind spots and increasing their own superior detection ability has remained a research hotspot for generations of scholars.

In this study, we measured the levels of ACTN4 and SCC-Ag in 211 patients from NILM to CC to analyse their single or combined value in the diagnosis of early cervical lesions using a CIN3 cut-off. Meanwhile, we identified the relative levels of ACTN4 mRNA and protein in tissue to evaluate the expression of these biomarkers in CC tissues with different disease severity. Furthermore, we assessed the relationship between the relative expression of ACTN4 mRNA and clinicopathologic characteristics in patients with CC. Our study suggested that ACTN4 combined with SCC-Ag in serum has a potential role as a biomarker for the diagnosis and prognosis of CC.

Materials and Methodology

Patients and Study Design

This retrospective cohort consisted of healthy patients undergoing routine gynaecological physical examinations at a medical examination centre and inpatients who underwent colposcopy biopsy and radical hysterectomy at Fujian Medical University Union Hospital from January 2017 to May 2018. Among the participants, the healthy individuals selected during annual health examinations showed no evidence of disease; the CIN patients were diagnosed by colposcopy and histology; and the invasive CC patients had stage I to II disease based on the International Federation of Gynecology and Obstetrics (FIGO) classification and were recruited after the histopathologic confirmation of CC tumours. After obtaining informed written consent, punch biopsy or surgically resected cervical tissues were collected from all the enrolled patients during their diagnostic/treatment procedures. The demographic and clinicopathological characteristics were recorded from clinical data and in-person interviews. In addition, blood samples (by venous puncture) were also obtained from the same cohort of patients. A study flowchart is shown in Figure 1

Figure 1

Flowchart of the screening profiles of women in the case-control study.

Processing of Tissue and Blood Samples

Fresh cervical tissues were divided into two parts after biopsy/surgical resection. One part of the tissue was immediately stored in liquid nitrogen after washing with physiological saline to prepare for qPCR assays. The other piece of tissue was fixed in 10% buffered formalin and then embedded in paraffin to prepare tissue blocks that were cut into 5-μm sections and placed on poly-L-lysine-coated glass slides. Tissue architecture and the usefulness of sections for immunohistochemical analysis were initially evaluated by routine histological staining. Slides confirmed with haematoxylin and eosin (H&E) were further processed for IHC with ACTN4 staining. The collected blood samples were centrifuged at 1500 g for 10 min to separate the serum. Serum samples were then aliquoted and stored at −70°C for ELISA.

ACTN4 mRNA Expression in Cervical Cancers and Control Tissues

Total RNA was isolated from frozen tissues with the TRIZOL reagent (Invitrogen, NY, USA) according to the manufacturer’s instructions. The RNA concentration and purity were measured by a UV spectrophotometer (GeneBio, Inc, America). RNA was reverse-transcribed with a high-capacity cDNA Reverse transcription kit (TAKARA, Japan). The aliquots of double-stranded cDNA were amplified using qRT‑PCR with a SYBR Green PCR Kit (TAKARA, Japan). qRT‑PCR was performed using the following primers for ACTN4 (forward 5ʹ-TTGATGAGGACTTCCGAGACG-3ʹ and reverse 5ʹ-TGGCGAACCTAAGGATGATGG-3ʹ) and GAPDH (forward 5ʹ-CACATGGCCTCCAAGGAGTA3 and reverse 5ʹ-TGAGGGTCTCTCTCTTCCTCTTGT-3ʹ). Calculations to determine the relative gene expression level were performed using the cycle threshold (Ct) method. The mean Ct values from triplicate measurements were used to calculate the relative expression of ACTN4 and were normalized to GAPDH using the 2−ΔΔCt method. We calculated the ΔΔCt using the maximum ΔCt value among all samples as a positive control.

ACTN4 Expression in Cervical Tissues with Different Disease Severity

For immunohistochemistry (IHC), sections were deparaffinized in xylene, rehydrated in a serial ethanol gradient, blocked with 3% H2O2 for10 min, and then incubated at 100°C in water with 10 mM citric sodium (pH 6.0) for 30 min to retrieve the antigens. Then, the sections were incubated with a rabbit monoclonal anti-ACTN4 (7H6 ab32816;1:100; Abcam, Cambridge, United Kingdom) primary antibody at 4°C overnight. A secondary antibody conjugated with horseradish peroxidase was applied for 30 min at room temperature, followed by development with a diaminobenzidine solution. For the negative control, primary antibodies were replaced with phosphate-buffered saline. We used a colon cancer tissue section as the positive control for ACTN4. The IHC results from ACTN4 staining were independently examined by two deputy chief pathologists. Only cytoplasmic immunopositivity was considered positive for ACTN4 expression. The scoring criterion for semi-quantification was determined by multiplying the staining intensity score [negative (0), mild (+1), moderate (+2), and intense (+3)] and the percentage (%) of positively stained cells [negative (0), <5% positively stained cells (+1), 5%–20% cell positivity (+2), 21%–50% cell positivity (+3), and >50% cell positivity (+4)]. Based on the calculated IHC score, the samples were further divided into mildly positive (IHC scores of 1 and 2), moderately positive (IHC scores of 3, 4, and 6), and intensely positive (IHC scores of 8, 9, and 12) groups.

The Expression of ACTN4 in Serum with Different Cervical Severity

The serum concentration of ACTN4 was measured by a quantitative sandwich enzyme immunoassay with a commercially available ELISA kit (No: CSB-E13742h; CUSABIO, Biotech Co., Ltd, Wuhan, China) according to the manufacturer’s instructions. The detection range for serum ACTN4 was 31.25–2000 pg/mL with a sensitivity of 7.8 pg/mL. The optical density (OD) value of each well was measured by a microplate reader at 450 nm 5 min after termination of the reaction. Using OFFICE EXCEL (2010 version), the highest two points of the standard were discarded, a standard curve was drawn using the binomial equation, and the corresponding sample concentrations were calculated. A standard curve was generated from different sample dilutions and standard product mixtures according to the manufacturer’s website. SCC-Ag (squamous cell carcinoma antigen) was measured using a chemiluminescent microparticle immunoassay (CMIA) kit according to the manufacturer’s instructions (SCC8D18; Architect, DENKA SEIKEN CO, LTD. Tokyo, Japan).

Statistical Analysis

Because the Shapiro–Wilk test for normality indicated that the relative expression of ACTN4 mRNA (2−ΔΔct) and the serum concentrations of ACTN4 were not normally distributed, the Mann–Whitney test was applied to investigate the significance of differences in ACTN4 mRNA levels for each clinicopathologic variable or different histologic diagnosis. Welch’s test was applied to analyse the ACTN4 protein levels in tissue and serum of patients with different cervical severity. Pearson’s correlation coefficient (r) was used to determine the association of ACTN4 expression between tissue histoscores and serum concentrations. Receiver operating characteristic (ROC) curve analysis was performed to determine the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood rate (PLR), negative likelihood rate (NLR), and Youden index (YI) of ACTN4 and SCC-Ag tests according to the standard definitions for CIN3+. The AUC (area under the ROC curve) of ACTN4 in combination with the SCC-Ag ELISA was analysed by binary logistic regression to calculate a combined predictive factor by a logistic regression equation. The sensitivity, specificity, PPV, NPV, PLR, NLR, and YI of the combined test were considered positive when ACTN4 or SCC-Ag exceeded the respective cut-off value. All data analyses were performed using SPSS 17.0 (SPSS Inc., Chicago, IL, USA) and GraphPad Prism 8.0.1 (). All statistical tests were two-sided, and a P-value <0.05 was considered to indicate statistical significance.

Results

Patients

After obtaining the above-mentioned tissue and serum samples, 39 frozen tissues from CC and 39 control tissues were analysed by qPCR to determine the relative expression of ACTN4 mRNA, and 211 tissues embedded in paraffin and serum were used for immunohistochemistry (IHC)/enzyme-linked immunosorbent assay (ELISA) to examine ACTN4 protein expression. Negative for intraepithelial lesion or malignancy (NILM), LSIL (CIN1), HSIL (high-grade squamous intraepithelial lesion, CIN2/3) and CC, including NILM (n=80) and CIN1 (n=8)/CIN2 (n=18) were used as controls, while CIN3 (n=66)/CC (n=39) were used as cases. Clinically, 17.9% patients were diagnosed with squamous cell carcinoma (SCC) FIGO IA, 35.8% were diagnosed with SCC FIGO IB, 39.7% were diagnosed with SCC FIGO IIA, and 6.6% patients were diagnosed with cervical adenocarcinoma (ADC). The median age of CIN patients was 47 years (range 21–72 years), the median age of CC patients was 55 years (range 23–85 years), and the median age of CIN patients was 50 years (range 21–80 years). Among CC patients, HPV type 16 (type18 negative) infections were noted in 60.6% of patients, while HPV type18 (type16 negative) infections were found in 9.1% of patients, and HPV type non-16/18 were found in 30.3% of patients. Lymph node positivity was noted in 33.3% of CC patients, while 66.6% of patients did not exhibit lymphatic involvement.

ACTN4 mRNA Expression in Cervical Tissues with Different Disease Severity and Correlation Between ACTN4 mRNA Expression and CC Patient Clinical Parameters

To examine ACTN4 expression, we isolated total RNA from CC tissues and control tissues and found that the relative levels of ACTN4 in CC based on qPCR were significantly higher than in the control (10.6 vs 4.15, P=0.0074). To further investigate whether ACTN4 expression levels were correlated with clinicopathological variables, a correlation of ACTN4 expression with clinicopathological data from CC patients was performed. The results revealed that the relative levels of ACTN4 increased as the FIGO stages, tumour size, and lymph node metastasis increased (12.12 vs 4.1, P=0.003; 16 vs 8.4, P=0.0183 and 12.13 vs 5.1, P=0.033, respectively). No relationship was found between ACTN4 and other clinicopathological parameters, such as age (patients older or younger than 55 years old), HPV type (16/non-16; 16, 18/non-16, 18) and growth direction of invasive cancer (P=0.96, P=0.07, P=0.07, and P=0.43, respectively) (Figure 2).

Figure 2

The relative expression of ACTN4 mRNA in cervical tissues with different cervical severity and clinicopathologic variables. (A–H) The Mann–Whitney test was used to analyse significant differences between the purple and green groups; (B–H) ACTN4 mRNA was detected in women with CC. *P<0.05,***P<0.001.

ACTN4 Protein Expression in the Tissue and Serum of Patients with Different Cervical Lesion Severities

With the addition of mRNA specimens collected from CC and control tissues, we further investigated ACTN4 protein levels in tissue and serum from a continuous cohort that included 106 control women and 105 patients with CIN3+. There was a gradual increase in ACTN4 histoscores from cervical tissue in controls and CIN3+ (0.86±1.03 vs 2.85±1.70, P<0.0001). Similarly, the increase in ACTN4 concentrations (pg/mL) in serum from controls to cases (28.51±11.30 vs 43.70±23.60, P=0.0007) is well known. Moreover, serological SCC-Ag concentrations (ng/mL) in controls and cases were significantly different (0.93±0.44 vs 4.15±7.07, P=0.0067) (Table 1). In addition, out of 84 CIN2/3 patients, 43 (50.8%) patients showed cytoplasmic overexpression of ACTN4 protein (Figure 3). Among these, the expression was moderate in 68.8% of patients (IHC scores of 3, 4, and 6) and mild in 31.1% of patients (IHC scores of 1 and 2). Similarly, among CC patients, 29/39 (74.4%) patients exhibited significant overexpression of ACTN4 (Figure 3). Out of these 39 patients, mild ACTN4 staining was detected in 2 patients (IHC scores of 1 and 2), moderate staining was detected in 30 patients (IHC scores of 3, 4, and 6), and intense staining was observed in 7 patients (IHC scores of 8, 9, and 12). Endogenous ACTN4 expression was not observed in the majority of normal/CIN1 cervix tissues and was only observed in 7 patients with IHC scores of 1 and 2 and 6 patients with IHC scores of 3 who showed very mild but detectable reactivity. In contrast, strong cytoplasmic protein immunopositivity was observed in both HSIL (CIN2/3) and CC patients compared with normal/CIN1 patients (Figure 3).

Table 1

α-Actinin 4 and SCC-Ag Expression in Tissues and Sera from Control and CIN3+ Patients

Location	Cervical Pathology	No. of Women	IHC Scores and Serological Concentration (pg/mL) of α-Actinin 4	P value	SCC-Ag (ng/mL)	P value
Tissue	Control	106	0.86±1.03	<0.0001a	/b
	CIN3+	105	2.85±1.70		/b
Serum	Control	106	28.51±11.30	0.0007a	0.93±0.44	0.0067a
	CIN3+	105	43.70±23.60		4.15±7.07

Notes: aWelch’s test was used to compared the control group and CIN3+ group; P ≤ 0.05 was considered significant; bSCC-Ag expression was tested by IHC, but analysis by pathologists cannot be performed due to a lack of cases after the detection of α-Actinin 4. Because SCC-Ag is overexpressed in cervical cancer tissues compared with normal cervical tissues and this has been reported in many studies, the detection of SCC-Ag was mainly used to compare the concentration of α-Actinin 4 in serum.

Abbreviations: NILM, negative for intraepithelial lesion or malignancy; CIN, cervical intraepithelial neoplasia; CC, cervical cancer; SCC-Ag, squamous cell carcinoma antigen; Control: patients with NILM/CIN1/CIN2 are considered as control.

Figure 3

IHC staining for ACTN4 in cervical lesion tissues with different disease severities.

Performance of Different Serological Biomarkers for Identifying CIN3+ Disease and the Correlation of ACTN4 Expression Between Cervical Tissues and Serum

We analysed serological biomarker levels using ROC curve models in a cohort that ranged from NILM to CC and evaluated the performance of ACTN4, SCC-Ag, and ACTN4 in combination with SCC-Ag in serum to identify CIN3+ disease. According to the ROC curve analysis, AUCcombination was superior to AUCACTN4 and AUCSCC-Ag (81.4, 72.0 and 75.4, respectively). In addition to logistic regression analysis, we calculated the screening values of different biomarkers based on the respective cut-off point, which demonstrated that there were increases in ACTN4, SCC-Ag and ACTN4 in combination with SCC-Ag in terms of sensitivity (68.6, 68.6 and 75.6), specificity (76.3, 86.8 and 87.5), PPV (72.7, 82.8 and 88.6), PLR (2.89, 5.20 and 6.05), and YI (44.9, 55.4 and 63.1). Meanwhile, there was a decrease in the NLR (0.41, 0.37, and 0.28) and a steady decrease in the NPV (72.5, 75.0, and 73.7) (Table 2). A cut-off value of 33.07 pg/mL for the serological ACTN4 assay can be used to screen for CIN3+ diseases. According to the correlation analysis, we found that ACTN4 levels in tissue and serum showed a significant positive correlation (r=0.19, P=0.006) (Figure 4).

Table 2

Diagnosis Values of Serum α-Actinin 4, SCC-Ag and Combination for Cervical Cancer

Biomarker (CIN3+ Endpoint)	α-Actinin 4	SCC-Ag	α-Actinin 4 in Combination With SCC-Ag
Sensitivity% (95% CI)	68.6 (50.6–82.6)	68.6 (50.6–82.6)	75.6 (59.3–87.1)
Specificity% (95% CI)	76.3 (59.4–87.9)	86.8 (68.2–94.5)	87.5 (70.1–95.9)
PPV% (95% CI)	72.7 (54.2–86.1)	82.8 (63.5–93.5)	88.6 (72.3–96.3)
NPV% (95% CI)	72.5 (55.9–84.9)	75.0 (55.9–84.9)	73.7 (56.6–86.0)
PLR% (95% CI)	2.89 (1.57–5.35)	5.20 (2.01–10.80)	6.05 (2.38–15.38)
NLR% (95% CI)	0.41 (0.25–0.68)	0.37 (0.22–0.61)	0.28 (0.16–0.48)
YI%	44.9	55.4	63.1

Abbreviations: PPV, positive predictive value; NPV, negative predictive value; PLR, positive likelihood rate; NLR, negative likelihood rate; YI, Youden index.

Figure 4

ROC curve analysis of different serum biomarkers for identifying CIN3+ disease and the correlation of ACTN4 expression in cervical tissue and serum with CIN3+ disease.

Discussion

Great effort has been made by scientists to identify one or more biomarkers that can predict invasive cancer as early as possible. Serologic biomarkers may appear in the surrounding tissue and be released into the blood during cervical lesion growth, which has some advantages. These biomarkers are economical, quantitative, and minimally invasive.20 In addition, we can obtain multiple specimens at the same time, and the tests do not require expensive instruments, licensed PCR laboratories, or experienced pathologists, which are difficult to find in less developed regions. DNA typing assays and cervical cytology are common detection methods for screening of early cervical lesions, but they require shorter intervals and more experienced cytopathologists.5,6 ACTN4 plays an important role in the proliferation and invasion of various cancers. Therefore, we hypothesized that actinin, which participates in the binding of actin fibres and tumour invasion, may be useful in the early detection of cancerous changes. In this case-control study, we found that ACTN4 levels in serum were significantly elevated in patients with CIN3 or worse. When we detected SCC-Ag levels, we found thatACTN4 in serum had a similar diagnostic value as SCC-Ag. When ACTN4 was detected in combination with SCC-Ag, we found a superior sensitivity and specificity over single detection ofACTN4 or SCC-Ag. Moreover, the levels of ACTN4 mRNA and protein were elevated in tissues with cervical lesion severity, and the levels of ACTN4 mRNA were significantly associated with FIGO stage, tumour size, and lymph node metastasis.

ACTN4 is ubiquitously expressed in normal non-muscle cells, and this protein is involved in regulating the binding of actin fibres by interacting with cell membranes.8 Results from recent studies revealed that ACTN4 plays an important role in the progression of various cancers and in poor patient prognosis. Moreover, ACTN4 may not only participate in the epithelial-to-mesenchymal transition and tumorigenesis of CC, but is also associated with carcinogenesis through the E6 protein, a famous HR-HPV oncoprotein.12–15 Nevertheless, studies about the association between ACTN4 and CC are limited, and the value of serological ACTN4 screening for early cervical lesions is not fully understood. Thus, it is necessary to further investigate the value of ACTN4 in the diagnosis of CC in populations with different cervical lesion severity. To our knowledge, ACTN4 has a potential screening capacity for early cancer, including CC, in fluids and bloods collected from the human body. Comparable results for ACTN4 were obtained by Starodubtseva, N. L,16 Geert A. A. Van Raemdonck17 and Van Ostade X,18 where elevatedACTN4 levels were found in the cervicovaginal fluid of CC patients against NILM and patients infected by HR-HPV against LR-HPV. Moreover, Cheng Fang19 reported that ACTN4 mRNA levels detected by qPCR can serve as a clinical predictor for the diagnosis of clinical outcomes of patients with breast cancer (BC), and the potential ability to screen for early cervical lesions is consistent with our findings.

Squamous cell cervical carcinomas (SCC-Ag) constitute 85–90% of all cervical carcinomas.20 Elevated serum SCC levels have been detected in 28–88% of cervical squamous cell carcinomas.21 The study of two or more biological markers in serum to increase the sensitivity and specificity of early screening of malignant tumours by making up their own blind spots and increasing their own superior detection ability has been a research hotspot of generations of scholars. In this study, ROC analysis suggested that ACTN4 could be a useful marker with 76.3% sensitivity and 94% specificity for discriminating CIN3 or worse patients from controls via a cut-off value of 33.07pg/mL. Interestingly, in combination with SCC-Ag, the sensitivity and specificity increased to 75.6% and 87.5%, respectively. CC is a heterogeneous disease; thus, it is unlikely that any single marker will have a sufficiently high sensitivity.

In this study, we collected 39 cervical cancer tissues and 39 control tissues, and it is interesting to note that ACTN4 mRNA was not only overexpressed in CC tissue, but was also associated with a larger tumour size, advanced FIGO staging, and lymph node metastasis-positive cases. To further investigate the relationship between ACTN4 expression in cervical lesions and different cervical severity, we performed an IHC assay and found that ACTN4 expression strongly increased from NLIM to CC.H-T. An et al12 reported that ACTN4 has important roles in tumour growth and the change to the mesenchymal phenotype, consistent with our study. Unfortunately, our results show that ACTN4 mRNA expression is not related to HPV type16 infection, which is not consistent with a report from Qiqi Wang et al15 that showed that HPV16 E6 promoted cytoskeleton assembly and cell invasion via ACTN4. This may have been due to our use of cervical tissue collected from the female reproductive tract, which is full of various bacteria and is different from cervical cell models. Interestingly, a serological ACTN4 assay was performed on 4 patients with cervical ADC, and all of them exceeded the cut-off value (33.12, 34.31, 35.41, and 36.13 pg/mL), while the expression in tissue was moderate (Figure 3). Although few patients with cervical ADC were included in our study, it is worthwhile to continue to collect a large number of specimens to evaluate the screening performance of ACTN4 for early cervical ADC. The qPCR results showed that ACTN4 mRNA was associated with the patient’s FIGO stage, tumour size and lymph node metastasis, which can be further applied in the clinic to predict the progression of CC.

Several shortcomings in the present study should be acknowledged. First, the sample size was relatively small, and patients with FIGO III or FIGO IV were not selected in our study due to the relatively shorter period. We need to detect ACTN4 levels in patients with advanced CC in a future study. Second, the present study was a preliminary study that explored the clinical significance of serum ACTN4 for the early diagnosis of CC. Third, we need to perform experiments in vitro and vivo to further verify the relationship between ACTN4 and SCC-Ag. We found that overexpression of ACTN4 might contribute to the aggressive progression of CC, but the molecular mechanisms underlying the oncogenic function of ACTN4 in CC remain poorly defined. Therefore, further in vitro and in vivo experiments should be designed to address these tissues.

Conclusions

Our study found that ACTN4 levels were overexpressed not only in blood from patients with CIN3 or worse, but also in their cervical tissues. ACTN4 mRNA is overexpressed in CC tissues and in tissues with advanced FIGO stage, larger tumour sizes and positive lymph node metastasis. ACTN4 in combination with SCC-Ag has a potential role as a biomarker for the diagnosis and prognosis of patients with CIN3 or worse.