Introduction
Cervical squamous carcinoma is the fourth most frequently diagnosed cancer in women. More than 604 000 new patients were diagnosed and it was estimated that up to 341 000 deaths occurred during 2020 [1]. On the other hand, cervical cancer is one of the few neoplastic diseases with both primary and secondary prevention. Persistent HPV infection leads to the development of intraepithelial cervical neoplasia. After HPV infection other risk factors were identified, e.g., other sexually transmitted diseases, promiscuity, smoking, early sexual debut, and oral contraceptive pills [2]. Although cervical cancer has the means of prevention and has good treatability, its metastatic progression leads to a high number of cancer-related deaths [3]. Many studies [3–7] have already revealed the role of epithelial mesenchymal transition (EMT) in cervical cancer because EMT correlates with aggressiveness of tumors and plays a key role in the metastatic process and resistance to chemotherapy [8].
One of many proteins involved in EMT is the globular 55-kDa actin-bundling protein fascin (FSCN1). It is an evolutionarily conserved protein with 4 β-trefoil domains firstly described in sea urchin coelomocytes [9]. Three fascin isoforms were identified in mammals. Fascin-1 (referred to here as fascin) is expressed in the mesenchymal and nervous tissues during development. In adulthood its expression is mainly restricted to the brain, endothelium, and testes. Fascin-2 (FSCN2) is expressed in retinal photoreceptor cells and in hair. The expression of fascin-3 (FSCN3) is specific for testes and developing spermatozoa [10–12]. Fascin crosslinks actin and microspikes. Furthermore, fascin contributes to the regulation of adhesion dynamics and cellular migration [10, 13]. The study of actin bundling protein-1 has become popular in connection with cancer in recent years. Fascin expression is absent or minimal in adult epithelial tissue, but is highly expressed in many types of carcinomas, e.g., colorectal [14], breast [15], head and neck [16], gastric [17], pancreas [18], and ovarian [19]. Up-regulation of fascin in carcinomas correlates with a higher ability of tumor cells to spread and a poor prognosis [20]. Based on this knowledge, fascin could become a promising tumor biomarker in addition to the standard biomarkers used in daily routine practice in the evaluation of cervical biopsy specimens as well. The present immunohistochemical study aimed to investigate fascin expression in cervical lesions and squamous carcinoma and reveal the possible association between fascin and p16Ink4a and Ki-67.
Material and methods
Sixty-seven tissue samples in the study were obtained from the Department of Pathology, St. Elizabeth Cancer Institute Hospital in Bratislava. For the study, formalin-fixed paraffin-embedded archival blocks were used. The following parameters were available for this study from the pathology reports: patient’s age, histopathological category of lesions low-grade squamous intraepithelial lesions (LSIL), high-grade squamous intraepithelial lesions (HSIL), squamous cell carcinoma (SCC) and the semiquantitative evaluation (+,++,+++) of p16INK4a and Ki-67, standardly used diagnostics.
Paraffin blocks were cut into 4 µm thick sections. The samples were deparaffinized with xylene and rehydrated afterwards using a series of descending alcohol. Antigen retrieval was performed by submerging the slides in retrieval solution (Target Retrieval Solution Low pH, Dako). To block endogenous peroxidase, the slides were immersed in a 3% H2O2 solution for 10 minutes. The histochemical staining method followed the manufacturer’s protocol. Staining was performed with monoclonal anti-fascin antibody (Abcam, FSCN1/417, 1 : 1000 dilution). The primary antibody was visualized using the Envision TM FLEX/HRP system polymer technique (Dako) using the peroxidase chromogen DAB (3,3-diaminobenzidine). Counterstaining was done with Mayer’s Hematoxylin (Dako). Negative controls were included with each stained group excluding the primary antibody. The endothelium was used as the internal positive control for the stained samples.
For the quantitative evaluation, we used computer- assisted morphometric analysis. Digital microphotographs were taken at a magnification of 400x with a camera microscope (Canon EOS 2000D) installed in an Olympus BX43 bright-field microscope. Microphotographs were analyzed with QuickPhotoMicro Version 3.2 software (Promicra, Prague, Czech Republic) software. Each slide was examined by 2 independent observers (SHC, VM) to identify the highest expression of fascin in the lesions. At least 5 fields (hot-spot areas) from each slide were evaluated (Weidner, 1995). Expression of fascin was defined as the percentage of positively stained epithelial cells in the standard area of the lesion. The intensity of the immunoreaction was semiquantitatively assessed: 0 (none), 1 (weak), 2 (moderate) and 3 (strong). Subcellular localization of the fascin was evaluated as cytoplasmic (C) or combined cytoplasmic and nuclear (CN).
Statistical analysis
Statistical analysis was performed using JASP 0.15 software. The Kruskal-Wallis test, post-hoc Bonferroni correction, Kendall’s tau b and χ2 test were used. A p-value less than 0.05 was determined as the minimum for statistical significance.
This study was supported by a Comenius University Grant (UK/21/2020).
Results
Samples were taken from the women in the age range of 20–86 years (Table I).
As mentioned above, the samples were divided into three groups: LSIL (23), HSIL (21) and SCC (23).
The χ2 test confirmed statistically significant differences in the expression of p16 Ink4a (ρ < 0.001) and Ki-67 (ρ < 0.001) between the LSIL, HSIL and SCC groups. The expression of both antigens was weak in the LSIL group, higher in the HSIL group, and the strongest expression was in the SCC group.
The data of fascin expression (values from morphometric analysis of the fascin positive area) failed the parametric assumption; therefore, the Kruskal-Wallis test was used for the analysis of variance. Statistically significant differences were observed in fascin expression (p = 0.044). Post hoc Bonferroni correction revealed a significant difference between fascin expression in the LSIL group and the SCC group (ρ = 0.040). The average values of fascin positive area in the SCC group were 31% higher than the values in the LSIL group (see Table II).
The difference of fascin positive area between the LSIL and HSIL group was 11%, between the HSIL and SCC group 18%. These differences were not statistically significant.
Immunohistochemical analysis showed C or combined CN localization of fascin expression. Nuclear staining was usually observed as a diffuse pattern. Most of the C staining had a granular to diffuse pattern. The ratio of the number of samples with only C localization and combined CN localization (C/CN) of fascin was 13/10 in LSIL, 8/13 in HSIL and 13/10 in the SCC group. Statistical analysis using the χ2 test did not reveal significant differences in subcellular localization of fascin expression (ρ = 0.376).
Frequently the intensity of immunoreaction in samples was diverse; therefore, the predominant pattern was used for scoring (weak, moderate, strong). The intensity of the reaction in LSIL tissue samples was rather moderate (12/23) and weak (6/23). The highest intensity of immunoreaction was in the basal and parabasal layer of the epithelium (Fig. 1C). A moderate (10/21) and a strong (6/21) intensity of immunoreaction was observed mainly in HSIL cases (Fig. 1D). Diffuse immunoreaction was demonstrated in the basal and parabasal layers, although more than half of the cases (13/23) showed fascin positivity in 2/3 to the full thickness of the epithelium (Fig. 1E). Squamous cell carcinoma had the strongest intensity of immunoreaction in 12/23 samples and moderate in 11/23. The combined pattern of immunoreaction was observed predominantly in cases with a strong intensity of immunoreaction of 9/12. In the combined subcellular location, we sometimes observed stronger perinuclear positivity (7/9) (Fig. 1B).
The analysis did not confirm statistically significant differences in immunoreaction intensity between the LSIL, HSIL and SCC groups (ρ = 0.055).
Statistical analysis (Kendall’s tau b) confirmed a significant positive correlation between fascin and p16 Ink4a expression (r =0.239; ρ = 0.012) and fascin and Ki-67 expression (r = 0.238; p = 0.010) (see Table III).
The expected correlation was confirmed between p16 Ink4a and Ki-67 (r = 0.825; p = 0.000), p16 Ink4a and age (r = 0.265; ρ = 0,006), Ki-67 and age (r = 0.352; ρρ = 0.000). However, the correlation between fascin expression and age was not statistically significant (r =0.066; ρ = 0.435).
Discussion
Fascin is one of many proteins involved in the EMT process that has a key role in cancer pathology. It helps neoplastic cells to overcome the individual steps of the metastatic cascade [21]. This remarkable process is initialized and regulated through a wide array of factors and signaling pathways that may overlap [22]. One of the many involved proteins is an actin-bundling protein fascin, which participates in EMT through various pathways, including Wnt/β-catenin signaling [23]. As mentioned in the previous section, fascin takes part in formation of parallel bundles of actin filaments by crosslinking them through its 3 binding sites. Therefore, we find fascin involved in a variety of physiological processes, e.g., formation of cellular protrusions, promotion of cell adhesion, regulation of vesicle release, and migratory capacity [24–27]. On the other hand, fascin was identified as a supporter of neoplastic cell migration during metastasis [11]. Fascin expression is correlated with a worse prognosis and survival outcomes in many types of cancer [20].
Overexpression of fascin is typical for many different types of carcinomas even though the expression of fascin in normal adult epithelium is absent or minimal [28]. In our study we observed increasing expression of fascin through groups of LSIL, HSIL to SCC. To our knowledge, there are only 3 published studies on fascin expression in cervical lesions [29–31].
Kabukcuoglu et al. investigated its expression not only in intraepithelial lesions and carcinoma, but also in tissues with chronic inflammation. Their study showed basal and parabasal positivity of cells in LSIL and diffuse positivity of HSIL throughout the thickness of the epithelium. Our study showed similar results for LSIL (Fig. 1B); in the case of HSIL staining of full thickness of the epithelium was observed in only 56.52% (13/23) of the samples. Kabukcuoglu et al. also observed up-regulated fascin expression in malignant lesions with an increasing microvessel count and reported intravascular tumor cells intensely positive for fascin, which may support the assumption that fascin increases the migratory capacity of neoplastic cells [31].
Koay and colleagues (2014) reported similar outcomes as ours. Fascin expression in LSIL samples was localized in the basal/parabasal compartments of the epithelium and occupied two thirds to the full thickness of the epithelium in HSIL and SCC. They reported that the positivity of cells in superficially spreading SCC was located at the invasive front (tumor-host interface), which is consistent with our findings. The koilocytes were, on the other hand, fascin negative, which is consistent with our results (Fig. 1B). The epithelium of the endocervix showed no fascin expression; on the other hand, endothelial cells and dendritic cells in reactive stroma were positive, which is consistent with our findings (Fig. 1A). We made similar observations in our lesions. Koay et al. also reported basal and parabasal C staining in the normal mature exocervical epithelium. In contrast, we found very weak to no positivity in the normal epithelium of the exocervix.
Ghalejoogh et al. found an association between fascin overexpression and HPV positivity and observed that no cervical carcinoma sample in their study had stronger immunoreaction intensity than the endothelial control. In contrast, we observed the strongest intensity of immunoreaction in carcinoma samples. Their study did not report any correlation between fascin expression and age. We observed a significant negative correlation between fascin and age of the patients in the LSIL group.
The subcellular localization of the fascin was C and was observed as a diffuse to granular pattern [29–31]. In addition to the C expression of fascin, we observed combined CN localization as well (Fig. 1F).
Groen et al. confirmed that the nuclear and perinuclear localization of fascin is conserved from Drosophila to mammalian cells. Groen et al. described the nuclear role of fascin as a binding partner to nesprin-2, a nuclear envelope protein. This interaction is necessary for the nuclear motion, which ensures that its shape changes when passing through limited spaces of extracellular matrix. Further studies have pointed to a new role for phosphorylated fascin in the nucleus. They assume an important role in histone methylation and pol2-mediated transcription of specific target genes [32–35].
Antigens p16 Ink4a and Ki-67 became important biomarkers for cell progression and proliferation. They are nowadays used as diagnostic and prognostic biomarkers in routine bioptic procedures. p16 Ink4a, a tumor suppressor and member of the INK4a family, is a regulator of cell cycle progression. Its overexpression in HPV-mediated cervical neoplastic lesions is due to the action of oncoproteins (E6/E7) that cause degradation and inactivation of regulatory p53 and Rb proteins. This reaction leads to cell cycle progression and therefore overexpression of p16 Ink4a [36–38]. Ki-67 is a DNA replication marker with many molecular functions [39]. In this study we found a positive correlation of p16 Ink4a and Ki-67 with fascin. The correlation of fascin and Ki-67 was observed in the study of Abosarie and Ibrahim [40]. They confirmed the positive relationship between fascin expression and Ki-67 in prostatic cancer lesions. This relationship was also observed by Hashimoto et al. in a study of gastric carcinoma.
Conclusions
Fascin expression has been reported in many different types of carcinomas. With this study, we wanted to expand knowledge about fascin in connection with routinely used diagnostic biomarkers in practice and determine its expression in cervical lesions. We observed an increase of fascin expression from low-grade to high-grade squamous intraepithelial lesions and SCC. Fascin expression is correlated with a worse prognosis and a higher chance of metastatic invasion due to the epithelial-mesenchymal transition process. This study showed a positive relationship between fascin and p16 Ink4a and Ki-67, which may also indicate the role of fascin in tumor progression. Based on our findings, we suppose that fascin may represent a plausible biomarker in assessment of cervical lesions.
However, further studies with a larger number of samples and more clinical-morphological information are needed to better understand fascin’s function and evaluate its possible role as a biomarker in cervical lesions.
Acknowledgements
We thank our skilled histology technicians Mrs. Margaréta Kondeková and Mrs. Agáta Rešetárová for preparing the immunohistochemical samples.
The authors declare no conflicts of interest.
References
1. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71: 209-249.
2.
Zhang S, Xu H, Zhang L, et al. Cervical cancer: epidemiology, risk factors and screening. Chin J Cancer Res 2020; 32: 720-728.
3.
Lee MY, Shen MR. Epithelial-mesenchymal transition in cervical carcinoma. Am J Transl Res 2012; 4: 1-13.
4.
Zhou S, Wang X, Ding J, et al. Increased ATG5 expression predicts poor prognosis and promotes emt in cervical carcinoma. Front Cell Dev Biol 2021; 9: 75184.
5.
Cao Y, Han Q, Li J, et al. P4HA2 contributes to cervical cancer progression via inducing epithelial-mesenchymal transition. J Cancer 2020; 11: 2788-2799.
6.
Jing L, Wang B, Yourong F, et al. Sema4C mediates EMT inducing chemotherapeutic resistance of miR-31-3p in cervical cancer cells. Sce Rep 2019; 9: 17727.
7.
Campo L, Zhang C, Breuer E K. EMT – inducing molecular factors in gynecological cancers. BioMed Res Int 2015; 2015: e420891.
8.
Qureshi R, Arora H, Rizvi MA. EMT in cervical cancer: its role in tumor progression and response to therapy. J Canc Let 2015; 356: 321-331.
9.
Bryan J, Edwards R, Matsudaira P, et al. Fascin, an echinoid actin-bundling protein, is a homolog of the Drosophila singed gene product. Proc Natl Acad Sci U S A 1993; 90: 9115-9119.
10.
Gupta I, Vranic S, Al-Thawadi H, et al. Fascin in gynecological cancers: an update of the literature. Cancers (Basel) 2021; 13: 5760.
11.
Machesky LM, Li A. Fascin: invasive filopodia promoting metastasis. Commun Integr Biol 2010; 3: 263-270.
12.
Zhang FR, Tao LH, Shen ZY, et al. Fascin expression in human embryonic, fetal, and normal adult tissue. J Histochem Cytochem 2008; 56: 193-199.
13.
Elkhatib N, Neu MB, Zensen C, et al. Fascin plays a role in stress fiber organization and focal adhesion disassembly. Curr Biol 2014; 24: 1492-1499.
14.
Tampakis A, Tampaki EC, Nonni A, et al. High fascin-1 expression in colorectal cancer identifies patients at high risk for early disease recurrence and associated mortality. BMC Cancer 2021; 21: 153.
15.
Lee HJ, An HJ, Kim TH, et al. Fascin expression is inversely correlated with breast cancer metastasis suppressor 1 and predicts a worse survival outcome in node-negative breast cancer patients. J Cancer 2017; 8: 3122-3129.
16.
Papaspyrou K, Brochhausen C, Schmidtmann I, et al. Fascin upregulation in primary head and neck squamous cell carcinoma is associated with lymphatic metastasis. Oncol Lett 2014; 7: 2041-2046.
17.
Hashimoto Y, Shimada Y, Kawamura J, et al. The prognostic relevance of fascin expression in human gastric carcinoma. Oncology 2004; 67: 262-270.
18.
Maitra A, Iacobuzio-Donahue C, Rahman A, et al. Immunohistochemical validation of a novel epithelial and a novel stromal marker of pancreatic ductal adenocarcinoma identified by global expression microarrays: sea urchin fascin homolog and heat shock protein 47. Am J Clin Pathol 2002; 118: 52-59.
19.
Hu W, McCrea PD, Deavers M, et al. Increased expression of fascin, motility associated protein, in cell cultures derived from ovarian cancer and in borderline and carcinomatous ovarian tumors. Clin Exp Metastasis 2000; 18: 83-88.
20.
Tan VY, Lewis SJ, Adams JC, et al. Association of fascin-1 with mortality, disease progression and metastasis in carcinomas: a systematic review and meta-analysis. BMC Med 2013; 11: 52.
21.
Kalluri R, Weinberg AR. The basics of epithelial-mesenchymal transition. J Clin Invest 2010; 120: 1786
22.
Gonzalez DM, Medici D. Signaling mechanisms of the epithelial-mesenchymal transition. Sci Signal 2014; 7: re8.
23.
Mao X, Duan X, Jiang B. Fascin induces epithelial-mesenchymal transition of cholangiocarcinoma cells by regulating Wnt/-catenin signaling. Med Sci Monit 2016; 22: 3479-3485.
24.
Liu H, Zhang Y, Li L, et al. Fascin actin-bundling protein 1 in human cancer: promising biomarker or therapeutic target? Mol Ther Oncolytics 2021; 20: 240-264.
25.
Beghein E, Devriese D, Van Hoey E, et al. Cortactin and fascin-1 regulate extracellular vesicle release by controlling endosomal trafficking or invadopodia formation and function. Sci Rep 2018; 8: 15606.
26.
Jayo A, Malboubi M, Antoku S, et al. Fascin regulates nuclear movement and deformation in migrating cells. Developmental Cell 2016; 38: 371-383.
27.
Adams JC. Roles of fascin in cell adhesion and motility. Curr Opin Cell Biol 2004; 16: 590-596.
28.
Ma Y, Machesky LM. Fascin1 in carcinomas: its regulation and prognostic value. Int J Cancer 2015; 137: 2534-2544.
29.
Ghalejoogh ZY, Samani SM, Malekshahi SS, et al. Human papilloma virus infection and fascin over-expression in squamous cell carcinoma of the cervix. Med J Islam Repub Iran 2018; 32: 134.
30.
Koay MHE, Crook M, Stewart CJR. Fascin expression in cervical normal squamous epithelium, cervical intraepithelial neoplasia, and superficially invasive (stage IA1) squamous carcinoma of the cervix. Pathology 2014; 46: 433-438.
31.
Kabukcuoglu S, Ozalp SS, Oner U, et al. Fascin, an actin-bundling protein expression in cervical neoplasms. Eur J Gynaecol Oncol 2005; 26: 636-641.
32.
Heinz LS, Muhs S, Schiewek J, et al. Strong fascin expression promotes metastasis independent of its F-actin bundling activity. Oncotarget 2017; 8: 110077-110091.
33.
Lamb MC, Tootle TL. Fascin in cell migration: more than an actin bundling protein. Biology (Basel) 2020; 9: E403.
34.
Groen CM, Jayo A, Parsons M, et al. Prostaglandins regulate nuclear localization of Fascin and its function in nucleolar architecture. Mol Biol Cell 2015; 26: 1901-1917.
35.
Saad A, Krikor B, Dinghong Q, et al. Insights into a novel nuclear function for Fascin in the regulation of the amino-acid transporter SLC3A2. Sci Rep 2016; 6: 36699.
36.
Hebbar A, Murthy VS. Role of p16/INK4a and Ki-67 as specific biomarkers for cervical intraepithelial neoplasia: an institutional study. J Lab Physicians 2017; 9: 104-110.
37.
Leite PM de O, Tafuri L, Costa MZ de O, et al. Evaluation of the p16 and Ki-67 biomarkers as predictors of the recurrence of premalignant cervical cancer lesions after LEEP conization. Rev Bras Ginecol Obstet 2017; 39: 288-293.
38.
De Melo FLP, Lancellotti CLP, da Silva MALG. Expression of the immunohistochemical markers p16 and Ki-67 and their usefulness in the diagnosis of cervical intraepithelial neoplasms. Rev Bras Ginecol Obstet 2016; 38: 82-87.
39.
Li LT, Jiang G, Chen Q, et al. Ki67 is a promising molecular target in the diagnosis of cancer (review). Mol Med Rep 2015; 11: 1566-1572.
40.
Abosarie MA, Ibrahim HA. Immunohistochemical study on Fascin-1 and Ki-67 as potentially poor prognostic marker in prostatic carcinoma. Egypt J Pathol 2019; 39: 108-114.