Introduction
The human papillomavirus (HPV) is a crucial but not the predominant cause of cervical cancer. People within the adolescent age groups who have an exposure history are susceptible to being infected with HPV, and there is an increased risk of smoking, poverty, using oral contraceptives, being simultaneously infected with other sexually transmitted microbes, recurrent and persistent inflammations, HIV or other diseases which suppress immune systems ( 1 ). These agents contribute to the pathogenesis, transmission, development, and persistence of cervical cancer and HPV-induced carcinogenesis. Trichomonas vaginalis, Chlamydia trachomatis, and Candida species are other sexually transmitted bacteria associated with cervical carcinomas ( 2 ). Recurrent infections facilitate epithelial shedding and cellular proliferation and promote the formation of malignant cells; chemokines, cytokines, free radicals, and growth factors aid colonization ( 3 ). Cancer occurs when cells containing viral genetic material evade the common cell cycle regulatory mechanism ( 4 ). The co-infection and disease pathophysiology generated by these bacteria is considered a co-infection concerning their association with invasive and pre-invasive cervical malignancies ( 5 ). HTLV-1 infections increase susceptibility to other infections. Some investigations reported a co-infection between HPV and HTLV-1, with immunological responses contributing to such interactions ( 6 ). The incidence of cervical HPV infection in HTLV-1-infected women indicates a risk factor for such co-infections. Human Papillomavirus is the causative agent of the world's most prevalent sexually transmitted disease and is directly associated with cervical carcinoma, the third most prevalent cancer relationship with Trichomoniasis ( 7 ). The most prevalent HPV type in cervical squamous cell tumors is type 16 ( 3 , 8 ). This study aimed to identify HPV-16 L1 gene expression in Human Papillomavirus using a pap smear.
2. Materials and Methods
Sixty samples were obtained from papillomavirus-infected females and sixty from healthy females. These samples were taken following the completion of pap smears. These women were delivered to Al-Emam Ali Hospital between March 1, 2021, and February 28, 2022. According to the manufacturer's instructions, IgM and IgG antibodies against HPV-16 antigens are detected in patient samples using an ELISA kit for HPV-16 antibodies (Cussabio, Wuhan, China). The kit included a microtiter plate coated with an antigen specific to HPV. Ca19.9, Ca125, and Ca15.3 were determined using the min-vides method. qPCR was utilized for RNA and DNA extraction and quantification of all HPV-16 genes. Using 1 l for each DNA (10 ng) and 1 l for cDNA, quantitative PCR (qPCR) was performed (Go-Taq q-PCR system assays, Promega, Southampton, U.K.).
2.1. Distribution of Study Group according to Residency Status
Table 1 shows the distribution of the study group according to residency status.
Residency status | Study group | Total | ||
---|---|---|---|---|
Pap. V. | Control | |||
Rural | Count | 30 | 60 | 30 |
% | 50.0% | 50.0% | 50.0% | |
Urban | Count | 30 | 60 | 30 |
% | 50.0% | 50.0% | 50.0% | |
Total | Count | 60 | 120 | 60 |
% | 100.0% | 100.0% | 100.0% |
2.2. Statistical Analyses
Statistical analyses were performed using SPSS. Data was introduced as mean±S.D. or numbers and percentages. The Student t-test was used to compare abortions and the normal group.
3. Results
Table 2 revealed that most cases of papilloma infection were found in the age group of 27–36 years, 16 (26.7%) of total study cases (n=60), while fewer cases of papilloma infection were found in the age group (>67), 4 (6.7%) of total study cases (n=60). This difference was statistically non-significant (P-value=0.9).
Categorical age group/Years | Study group | Total | ||
---|---|---|---|---|
Pap. patient | Control | |||
(17-26)yrs | Count | 12 | 12 | 24 |
% | 20.0% | 20.0% | 20.0% | |
(27-36)yrs | Count | 16 | 16 | 32 |
% | 26.7% | 26.7% | 26.7% | |
(37-46)yrs | Count | 7 | 9 | 16 |
% | 11.7% | 15.0% | 13.3% | |
(47-56)yrs | Count | 13 | 13 | 26 |
% | 21.7% | 21.7% | 21.7% | |
(57-67)yrs | Count | 8 | 6 | 14 |
% | 13.3% | 10.0% | 11.7% | |
>67 | Count | 4 | 4 | 8 |
% | 6.7% | 6.7% | 6.7% | |
Total | Count | 60 | 60 | 120 |
% | 100.0% | 100.0% | 100.0% | |
Chi-square | 0.53 | |||
P-value | 0.9 |
In table 3, we discovered that the concentrations of Pap-IgM and Pap-IgG were rising in papilloma patients. Virus concentrations were more significant in control groups than in control groups, as shown by increases in mean and standard deviation scores (2.011.17, 0.110.02), (14.247.10, 0.40.17), respectively. These variations between the levels of the studied groups were statistically highly significant.
Type of antibody | Study group | N | Mean | S.D. | t-test | *P-value |
---|---|---|---|---|---|---|
Pap- İgM N.V(>1ng/ml) | Papilloma patient | 60 | 2.01 | 1.17 | 12.2 | 0.000 (**H.S) |
Control | 60 | 0.11 | 0.02 | |||
Pap- İgG N.V(>1ng/ml) | Papiloma patient | 60 | 14.24 | 7.10 | 14.9 | 0.00 (H.S) |
Control | 60 | 0.4 | 0.17 | |||
*; Independent sample test, **; highly –significant |
Table 4 demonstrates that the levels of the three indicators Ca19.9, Ca125, and Ca15.3 were normal in papilloma patients and the control group compared to the normal value (>37ng/ml) of the three markers. These disparities between the scores of the three markers, as measured by mean and standard deviation, were statistically highly significant.
Markers | Study group | N | Mean | Std. Deviation | t-test | *P-value |
---|---|---|---|---|---|---|
Ca19.9 N.V(>37ng/ml) | Papilloma patients | 60 | 35.31 | 14.81 | 7.8 | 0.000 (H.S.) |
Control | 60 | 19.31 | 5.72 | |||
Ca125 (>35ng/ml) | Papiloma patients | 60 | 32.23 | 10.84 | 10.6 | 0.000 (H.S.) |
Control | 60 | 16.15 | 4.24 | |||
Ca15.3 N.V(>37ng/ml) | Papilloma patients | 60 | 31.04 | 11.27 | 10.5 | 0.000 (H.S.) |
Control | 60 | 14.49 | 4.94 | |||
*; Independent sample test, **; highly –significant |
Table 5 revealed there is a low positive correlation between the levels of Pap-İgM (<1) with levels of Ca19.9 (<37) with (r=0.409**, P=0.000), while there is a moderate association between the levels of Pap-İgM (<1) with Ca125 (<35) and Ca15.3 (<37) levels with (r=0.574**, 0.565**, P=0.000, 0.000) respectively. Also, this table documents that there is a moderate positive correlation between the levels of Pap-İgG (<1) and the levels of the three tumor markers Ca19.9 (<37), Ca125 (<35) and Ca15.3 (<37) with (r=0.521**, 0.592**, 0.647**) respectively.
Parameter | Test | Pap-İgM(<1) | Ca19.9(<37) | Ca125(<35) | Ca15.3(<37) | Pap-İgG(<1) |
---|---|---|---|---|---|---|
Pap-İgM (<1) | r | 1 | 0.409** | 0.574** | 0.565** | 0.564** |
P-value | .000 (H.S) | .000 (H.S) | .000 (H.S) | .000 (H.S) | ||
N | 120 | 120 | 120 | 120 | 120 | |
Pap-İgG (<1) | r | .564** | 0.521** | 0.592** | 0.647** | 1 |
P-value | .000 | .000 (H.S) | .000 (H.S) | .000 (H.S) | ||
N | 120 | 120 | 120 | 120 | 120 |
The HPV-16 L1 gene expression was investigated in patients infected with papillomavirus compared with the healthy controls by using real-time PCR. The results showed a high Ct value for patients and controls with a high Ct value of templates, preoperational to the gene concentration, as shown in figure 1.
4. Discussion
The human papillomavirus (HPV) is an essential but not the leading cervical cancer cause. Most cases of papilloma infection were found in the age group (27-36) years, with 16 (26.7%) of total study cases (n=60), while fewer cases of papilloma infection were found in the age group. Laantri, Attaleb ( 9 ) reported that the average age of the patients was 39.65 years, with a range of 10 to 87 years. Figure 2 depicts the age distributions of our patients with bimodal trends. The levels of Pap-IgM and Pap-IgG were rising in papillomavirus-infected patients ( 9 ). Papillomavirus was higher in levels than in control groups, which was indicated by increases in the scores of mean and standard deviation (2.01±1.17, 0.11±0.02), (14.24±7.10, 0.4±0.17), respectively. Statistically, these differences between the levels of the studied groups were highly significant. These findings agree with Ma and Yang ( 10 ). Kerishnan, Gopinath ( 11 ) showed that an HPV-16 specific ELISA test did the evaluation of patients and controls for detecting (IgM) and (IgG) antibodies. According to the ELISA test, 197/206 OSCC patients and 89/134 controls showed positive IgG to HPV, while only 42/206 OSCC patients demonstrated positive IgM to HPV-16 ( 11 ). The levels of the three markers Ca19.9, Ca125, and Ca15.3 were normal in levels among papilloma patients and the control group compared to the normal value of the three markers, which equaled N.V. (> 37ng/ml). Statistically, these differences between the scores of the three markers, which were measured depending on mean and standard deviation, were highly significant. These findings were consistent with those of Katar ( 12 ) w, who demonstrated that CA-125 levels were normal in 1 of 14 (7.1%) patients and above 65 U/mL in 13 instances (92.9 percent). 8 percent of patients with benign pelvic tumors were postmenopausal, with a median age of 35,7 years. S. CA-125 values were normal in 54/75 cases (72 percent) and elevated in 21 instances (28 percent). Our investigation revealed that the sensitivity of CA-125 was 92.9%, while its specificity was 72% ( 12 ). There is a moderate positive correlation between the levels of Papilloma-İgG and the levels of the three tumor markers Ca19.9, Ca125 (<35), and Ca15.3 with cervicitis. Ayhan, Guven ( 13 ) stated that the favorable CA-125 rates among the severe group were significantly higher than the mucinous group. In contrast, the positive CA-19-9 rate among the mucinous histology was significantly higher than the serous tumor. In the case of tumor size grouping as <4, 4.1-10, and >10 cm, there was a significant increase in mean levels of serum tumor markers with tumor size increase (P<0.05 for CA-125 and CA-19-9, P>0.05 for CA-15-3 ( 13 ). According to figures 1 and 2, the Pap smear was made clear to women with papilloma who had inflammation in the cervix, as revealed by examination under the microscope ( 14 ). There was no Neoplasia, although the examination of tumor makers showed that it was elevated in affected women, this confirms the infection immunologically, and no cancerous cells appear. This may be attributed to this case; the appearance of Neoplasia may be delayed because the pathological condition may be acute and has not reached the chronic state, or maybe it was not detected under the microscope and needs more confirmatory tests. Also, in the expression of the HPV-16 gene, there was a unique creation of SAF via the replacement of the h4 helix of HPV-16 capsid L1 proteins with the L2 peptides. Two different feeding strategies in the fed-batch culture of P. pastoris Muts have been assessed: the pre-determined feed rates vs. feeding according to O2 consumptions through constant dissolved O2 level maintenance (D.O. stat). The cultures exhibited a significant biomass elevation after feeding methanol when the D.O. stat method was used. In P. pastoris, the concentration of SAF was higher among Muts strains than those in Mut+ strains. Nevertheless, the highest SAF level, at 132.10 mg L−1 culture, was produced by H. polymorpha, whereas only 23.61 mg L−1was produced by P. pastoris Muts. H. polymorpha demonstrated a higher potential to express HPV-16 L1/L2 chimeric protein despite the P. pastoris track record as a high-level heterologous protein. To expirations of quantified the HPV-16 viral transcripts by using RNA sequencing and comparing them with qPCR results. The values of 40-ΔΔCt were evaluated by qPCR for RNA and DNA and shown together with the alignment of the HPV-16 genome using RNA sequencing. The cases revealed higher amounts of the HPV-16 genes with RNA transcripts evaluated using the qPCR and the RNA sequencing alignment methods.
Authors' Contribution
Study concept and design: S. I. J.
Acquisition of data: S. I. J.
Analysis and interpretation of data: B. Q. D.
Drafting of the manuscript: B. Q. D.
Critical revision of the manuscript for important intellectual content: S. I. J.
Statistical analysis: S. I. J.
Administrative, technical, and material support: S. I. J.
Ethics
The human study was approved by Middle Technical University, Baghdad, Iraq Review Board and written informed consent obtained from each participant.
Conflict of Interest
The authors declare that they have no conflict of interest.
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