Keywords
cervical cancer, oncogene, cyclin expression, HPV type 16, observational study, gynecological cancer
This article is included in the Cell & Molecular Biology gateway.
cervical cancer, oncogene, cyclin expression, HPV type 16, observational study, gynecological cancer
The estimated incidence of cervical cancer in the world is 13.1 every 100,000 women. The incidence of cervical cancer is found to be higher in lower- and middle-income countries like Indonesia. In 2018, Indonesia ranked second in the incidence and mortality rate of cervical cancer in Asia1,2
One of the known risk factors of cervical cancer is the Human Papilloma Virus (HPV). HPV types 16 and 18 are the most common types found in cases of cervical squamous cell carcinoma. The HPV oncoproteins that play a role in the development of cervical cancer are E6 and E7.3–5
E6 and E7 initiate a series of processes leading to chronic infection and transformation into cervical cancer. E6 causes degradation of p53, and p21 inhibition leads to a decrease in cellular apoptosis. E7 inactivates pRb so that infected cells experience increased cell proliferation, causes an aberrant synthesis phase of the cell cycle, and increases transcription factor E2F. The sequences carried by E6 and E7 lead to an increase in cyclin D1 expression.5–7
Increase in cyclin D1 expression is found in cervical cancer cells, including those resistant to chemotherapy.8–10 Cyclin D1 overexpression can augment cell cycle and increase cellular proliferation. The expression of Cyclin D1 also affects the function of apoptosis, hypertrophy and differentiation. Cyclin D1 is thought to have mitogenic activity so as to stimulate hypertrophic growth.11
Determination of E6 and E7 mutations for HPV type 16 can be useful in the development of HPV molecular diagnostics, prevention, and therapeutic efforts to control or eliminate cervical cancer. Moreover, the development of agents to target cyclin D1 activity, directly or indirectly, by targeting cyclin-dependent kinase (CDK) has also been studied. These agents are used concurrently with chemotherapy and have been shown to reduce resistance to chemotherapy and increase patient survival rates12–14 when patients are referred for chemotherapy or radiotherapy.15,16 Given their significance the association between cylin D1 expression and the E6 and E7 oncogene mutation of HPV type 16 infection as cervical cancer risk factor, they are crucial in understanding cervical cancer. Thus, this research was carried out.
An observational analytic, cross-sectional study was conducted from August 2020 until August 2021 at the Gynecology polyclinic of RSUP Prof. Dr I.G.N.G. Ngoerah, Denpasar laboratory of microbiology, faculty of medicine Universitas Udayana (FK UNUD), Denpasar and laboratory of histology FK UNUD, Denpasar. This study was approved by the Ethical Board for Research of FK UNUD, Denpasar on 21 December 2021 with protocol number 2021.02.1.1247.
The sample size was calculated with the following formula:
N=Minimum sample size
Zα=Confidence interval with α score of 5% and Zα is 1.960
P=Proportion of oncogene E6 and E7 mutation of HPV 16 was around 70% based on a study by Zhe et al. (2019)17
Q=1-p (proportion of oncogene E6 and E7 of HPV 16 which have compability with the prototype), around 30%
d=Error limitation or absolute precision, 18%
Data was collected from cervical cancer patients who visited the polyclinic between August 2020 until August 2021. The sampling method used was consecutive sampling of the population and included patients who fulfilled the eligibility criteria. Patient eligibility was assessed with inclusion and exclusion criteria and provided written informed consent as seen in Table 1. Patient eligibility was assessed with inclusion criteria such as first-time cervical cancer diagnosis during the study setting; not having received surgery, chemotherapy, or radiotherapy. The exclusion criteria were cervical cancer that was not caused by HPV type-16 and if the cervical cancer tissue samples were damaged or not representative for DNA PCR or immunohistochemistry examination. Eligible patients were asked for and provided written informed consent.
Eligible patients were asked for demographic characteristics, clinical history, received physical examination, and pathological examination of cervical cancer cells. Patient characteristics such as age, parturition history, body mass index (BMI), cervical cancer clinical stage, and pathological findings were recorded. Cervical cancer tissue specimens were tested for oncogene E6 or E7 mutation by HPV DNA PCR The PCR analyses were conducted at our institution laboratory, DNA isolation was carried out with Roche DNA extraction kit following the product standard protocol. After extraction, a PCR was performed to determine positive and negative HPV with primers My09 (5′-CGT CCM ARR GGA WAC TGA TC-3′) and My11 (5′-GCM CAG GGW CAT AAY AAT GG-3′). Meanwhile, DNA PCR for HR-HPV type-16 were performed with primers (Forward: 5′-GAC CCA GAA AGT TAC CAC AG-3′ and reverse: 5′-CAC AAC GGT TTG TTG TAT TG-3′). The HPV HR Type 16 PCR program is the same as the PCR program for universal HPV. To determine the quality of the extracted DNA, a PCR was performed for the betaglobin gene with the primers (Forward 5-CAA CTT CAT CCA CGT TCA CC-3 and reverse: 5-GAA GAG CCA AGG ACA GGT AC-3); The PCR results were then compared with the wild type gene on GenBank according to sequence K02718/HPV16R. Amplification of E6 and E7 gene was done with primer sequences as follow: upstream, 5′AAG GGC GTA ACC GAA AT3′; downstream, 5′TCC ATT ACA TCC CGT ACC CTC3′ (Primer 2 OD; 1 OD=33 μg). The primer was dissolved up to 100 mmol/L at a concentration of 10 μM (M=mol/L). The PCR reaction mixture of E6 and E7 genes (25 μL) wasas follows: 1 μL DNA template (1:20), 1 μL upstream primer (10 μM), 1 μL downstream primer (10 μM), 12.5 μL of 2× Taq PCR MasterMix, and double distilled water. The PCR cycle conditions were as follows: pre-denaturation at 94°C for 5 minutes; 30 cycles of denaturation at 94°C for 30 seconds, annealing at 55°C for 30 seconds, extension at 72°C for 60 seconds; and final extension at 72°C for 5 minutes. After PCR was completed, 5 mL of sample were analyzed by electrophoresis using 1.5% agarose gel; The MEGA6 software was utilized for the sequencing of the E6 and E7 genes. BLAST software was used to compare the nucleotide sequences of the E6 and E7 genes to the HPV 16 prototype (HPv16.P, GenBank access code: NC 001526) from the European variation; cyclin D1 expression was measured by immunohistochemistry with rabbit primary ERβ polyclonal antibodies (BY-02101, Yueyan Biotechnology, Shanghai, China) and rabbit secondary polyclonal antibodies tagged with horseradish peroxidase (K500711, Gene Biotechnology, Shanghai, China) and categorized by Immunoreactive Scoring System (IRS); diagnosis of cervical cancer was made based on histopathological findings with histological classification such as squamous cell carcinoma, adenocarcinoma, adenosquamous carcinoma.
After the patient was diagnosed with cervical cancer, they were grouped according to E6 or E7 oncogene mutation and each group was tested for cyclin D1 expression. The data was analyzed with IBM SPSS for Windows version 22.0. The correlation between oncogene E6/E7 mutation and cyclic D1 expression was analyzed with a contingency coefficient correlation test. The result ranges from 0 until 1, 0 indicating no correlation and 1 a very strong correlation.
From August 2020 until August 2021, a total of 100 cervical cancer patients was tested for HPV 16. 31 samples tested positive for HPV 16 with oncogene E6/E7 mutation distribution of wild type of n=19; 61%, and mutated oncogene n=12; 39%. Table 2 summarizes the demographics and characteristics of sample including age, parturition history, BMI, cervical cancer histological classification, and cancer stage which were distributed normally. Mean age for wildtype and mutant type were 50 and 54.5 years old, respectively. Mean body mass index for wildtype was 23.7 and 22.1 for the mutant. Squamous cell carcinoma was the most common histological findings, and cancer clinical stage II was the most common in both types.
Table 3 summarize the characteristic and proportion of E6 and E7 mutation on this study. The proportion of E6 mutants in this study group was 25.8% (8/31), while in the E7 group it was 12.9% (4/31). The population characteristics of the E6 mutation group were dominated by the nucleotide position of 27 prototype T variant C (n=5; 16.1%) followed by position 360 prototype A variant G (n=2; 6.4%) and position 371 prototype G variant A (n=1; 3.2%). The mutation in strain E6 is a synonymous mutation and G371A/R124K the only non-synonymous mutation. In the E7 group, the same proportion was obtained, namely one sample (3.2%) for each nucleotide position, prototype and variant. At E7 the majority of mutations were non-synonymous 9.6% (3/31) in N29T; N29S; R77C.
The association of mutations in the E6 and E7 HPV type 16 oncogenes with cyclin D1 expression in patients with cervical cancer is summarized in Table 4. There was no association between mutations in the E6/E7 HPV type 16 oncogene with cyclin D1 expression (c=0.283; p value=0.1). The correlation coefficient between the mutations of the E6 and E7 HPV type 16 oncogenes with Cyclin D1 expression was weak, as seen in Table 4.
In this study, we described the association of mutations in the E6 and E7 HPV type 16 oncogenes with cyclin D1 expression in patients with cervical cancer. Our study included 31 patients with cervical cancer and HPV type 16 infection based on pathological examination and HPV DNA PCR. The samples median age was 54.5 (21-58) years old, in accordance with a study in Denmark and Sweden with a higher incidence of cervical cancer in patients aged 50 years or older.18,19 Women aged 50 years and over are usually in the perimenopausal or postmenopausal phase; therefore, their physiological and pathological characteristics differ significantly from women of childbearing age.20
The mean BMI was 22.1 kg/m2 in cervical cancer patients with mutant oncogenes E6 and E7 with a BMI range of 19.5-28.2 kg/m2. In this study, patients were found to be in the ideal BMI and overweight categories. The effect of body mass index (BMI) on precancerous cervical lesions (PCL) and cervical cancer is not clear. There are claims that underweight women may have an increased risk of cervical lesions while overweight women have a reduced risk of PCL compared to women with a normal BMI.21 One of the identified risk factors for PCL is being underweight (BMI<18.5 kg/m2), so the probability of being positive for PCL was fourfold higher among underweight women than women with a normal BMI. This relationship can be explained by the possible association between low BMI, poor nutritional status and low immunity. Therefore, participants with a low BMI tend to be malnourished, which in turn can compromise their immunity.22
The HPV genome consists of small, conserved double-stranded DNA with an approximate size of 8000 base pairs, and consists of three regions. The molecular biology of this tiny DNA molecule is complex. There are six starting proteins, three regulatory proteins (E1, E2, and E4) and three oncoproteins (E5, E6, and E7) encoded in 4000 base pairs that participate in viral replication and cell transformation.23
In HPV16-positive cells, it was found that viral genes E6 and E7 remained integrated into the host genome and expressed, although in some HPV16-infected cells, E6/E7 overexpression could be absent. In addition, E6/E7 overexpression was also found in cells infected with other HPV types. E6 and E7 are small proteins composed of 100 to 150 amino acids with no known enzymatic activity; they can affect host cell activity when they bind to cell receptor proteins. E6, for example, binds to E6-associated protein (E6AP), a ubiquitin ligase that causes structural changes in E6 that allow it to bind to p53, a tumor-inhibiting protein in a cell cycle control manner to form the E6/E6AP/p53 complex. Therefore, E6 and E7 are important factors in the occurrence of cervical cancer in HPV16-positive cells.24
The HPV genome may integrate with the host genome or remain in an episomal form, with 83% of cases of HPV-positive cervical cancer showing evidence of integration of the HPV genome into host cells. In the case of integration of the viral genome with the host genome, it often leads to disruption of the E2 gene site. The E2 gene is responsible for suppressing E6 and E7, thereby causing E6 and E7 to be activated upon integration of the viral genome into the host genome. Throughout the course of infection, the activities of E6 and E7 are responsible for the doubling of the viral genome with the help of cellular machinery. They can trick cells into becoming oncogenic in the process of viral replication. Therefore, HPV-mediated tumor development can be defined as collateral damage from viral infection.25
The E6 protein is thought to increase cell proliferation by stimulating the degradation of the tumor suppressor protein p53 through the formation of a complex consisting of E6, p53 and the cellular ubiquitination enzyme E6-AP. E6-stimulated degradation interferes with the biological function of p53, thereby interfering with the control of cell cycle progression, which ultimately leads to increased tumor cell growth. Although it is generally accepted that the ability of high-risk HPV types E6 to target p53 for degradation contributes to virus-induced cellular transformation, it is also clear that the E6 protein has oncogenic activity independent of p53.26
The E7 protein encoded by high-risk HPV types, such as HPV 16 and HPV 18, binds to the Rb protein with much higher affinity than that encoded by low-risk HPV types, such as HPV type 6 and HPV type 11. E7 binds to the Rb protein with the region being called ‘pocket domain’. The ‘pocket domain’ sequence of Rb is critical for its tumor suppressor function, with many naturally occurring Rb loss-of-function mutations appearing clustered within this ‘pocket domain’. One of the major biochemical functions of Rb is to bind to transcription factors of the E2F family and suppress the gene expression of the replication enzymes. As a result of mutations in E7 resulting in loss of function of Rb resulting in loss of replication suppression so that cells continue to replicate and cause cancer.27
To ensure continued cell proliferation, HPV-infected cells also need to pass the mitotic test, which is also carried out by E6 and E7 simultaneously. E6 is dependent on a p53-dependent pathway, while E7 avoids the spindle checkpoint in a p53-independent manner, with the help of pRb. As a result of alterations in several cell cycle regulators, the cyclin-CDK complex is a major player of a dramatically altered cell cycle in HPV-infected cervical cancer cells. Cyclin D1-CDK4 and cyclin D1-CDK2 associations is reduced in E6-expressing cells and completely abolished in E6 and E7-expressing cells.28
There was not statistically significant difference between the mutant and wild-type groups. This indicates that the mutant and wild-type have a weak correlation with the emergence of cyclin D1 expression and mutation or lack thereof does not determine whether the mutant or wild-type has a higher or less cyclin D1 value. Cancer development and progression involve activation of oncogenes, inactivation of tumor suppressor genes, and imbalance of immune system regulatory mechanisms, a combination which causes cellular variability and leads to tissue transformation into cancer. Cyclin, and especially cyclin D1, functions as a cell cycle regulator and promotescell proliferation. Mutation or over expression of Cyclin D1 may alter the cell cycle in various cancers.27
Many studies have focused on the expression of cyclin D1 and its junction variants cyclin D1a and cyclin D1b, which arise from single nucleotide polymorphisms (SNPs) in the CCND1 gene in cervical cancer. While cyclin D1 has been associated with different clinical and pathological stages of cervical cancer, few studies have focused on its correlation with cervical cancer prognosis. Currently, the accepted view is that Cyclin D1 and its isoforms play an important role in the development and progression of cervical cancer. During the normal cell cycle, cyclin D1 forms a complex with CDK4, which promotes phosphorylation of the tumor suppressor protein. The transcription factor E2F is then initiated to promote DNA synthesis, allowing the completion of cell division by moving from the G1 phase to the S phase. cyclin D1 can thus be seen as a shortening of the G1 phase of the cell cycle. When the control of the cyclin D1 protein is abnormal and several cancer-associated genes result in an increase in its expression, the time the cell spends in the G1 phase of the cell cycle is significantly reduced, causing the cell to enter the S phase earlier, which in turn results in uncontrolled cell proliferation and transformation leading to carcinogenesis. Currently, cyclin D1 is recognized as a proto-oncogene, and its overexpression can alter progression through the cell cycle, leading to uncontrolled cell proliferation and malignancy. Unlike the findings of this study, in a study to detect Cyclin D1 expression, it was found that there was a fourfold increase in Cyclin D1 expression in cancer conditions. But in this study, the comparison of the cancer group was normal cells (no malignancy activity at all) and the research focused on uterine cancer.28
Research by Park et al. (2016) supports the result of our study. Their study stated that there is a role for glycogen synthase kinase 3β (GSK3β), a pluripotent protein kinase that is involved in cancer development through the regulation of various oncogenic molecules. Cyclin D1, an important regulator of G1 to S phase transition in various cells, is one of the target proteins that GSK3β regulates. Squamous cell carcinoma has an increased expression of GSK3β which plays a role in cervical carcinogenesis and has an inverse correlation with cyclin D1 expression in this process.29
Another study by Bae et al. (2001) found that decreased cyclin D1 is regulated at the transcriptional level in cervical cancer. Cyclin D1 is less expressed in cervical neoplasia, and is more frequently expressed in malignant lesions. This may be because cyclin D1 is no longer required for G1 progression in HPV-transformed cells due to the binding of HPV E7 to Rb leading to the release of the transcription factor E2F.30 Pyeon et al. (2007) found that there was no significant difference between the increase in cyclin D1 and cervical cancer. In HPV-positive cancers, p16 is expressed at high levels and cyclin D1 at low levels, in contrast to HPV-negative cancers.31 In this study, there was also no relationship between cyclin D1 and the occurrence of mutations in HPV-positive cancer, and cyclin D1 levels were not associated with changes in lesions from pre-cancerous to cancerous.
The limitation of this study was a limited number of samples we found in a one-year, single centre study. Further study with a greater sample population can provide more accurate result such as on national level.
This study concluded that there is no association of mutation in the E6/E7 HPV type 16 oncogenes with cyclin D1 expression in patients with cervical cancer.
Figshare: Data of Cervical Cancer HPV 16 oncogen E6 or E7 with Cyclin D1 expression.xlsx, https://doi.org/10.6084/m9.figshare.21786644.v1. 32
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: PharmacoEpiGenetics, Clinical Oncology and Biotherapeutics
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
No
References
1. Cohen J: A power primer.Psychol Bull. 1992; 112 (1): 155-9 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: I am a biostatistician with 25 years of expertise practicing statistics.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
References
1. Sauna ZE, Kimchi-Sarfaty C: Understanding the contribution of synonymous mutations to human disease.Nat Rev Genet. 2011; 12 (10): 683-91 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Molecular biology of cancer, Molecular epidemiology
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