mRNA Biomarkers for Detection of Oral Squamous Cell Cancer

Abstract

Objectives: Cancer is one of the main causes of death in the world. Changes in the expression of CK19 and CEA genes in peripheral blood of OSCC patients were examined for early diagnosis.
Methodology: The participants were 36 patients and 36 normal individuals. CK19 and CEA of blood serum were measured through Real-Time PCR. The relationship of the biomarkers with tumor staging and cancer development was examined.
Results: Comparison of the two groups of participants using t-test indicated no significant difference in terms of mean age. CK19 marker was positive in 19 participants of the patients group (n=36), which meant the sensitivity of the marker was 53%. In addition, the marker was positive in eight participants of the normal group (n=36). CEA marker was positive in 26 participants of the patients group (n=36), which meant the sensitivity of the marker was 72%. Moreover, the marker was positive in 11 participants in the normal group (n=36).
Conclusion: In general, the study introduced a screening test for early diagnosis of OSCC. To have evidences with more reliability, future studies should be carried out with larger sample groups.

Introduction

Oral squamous cells carcinoma (OSCC) is featured with a high level of topical invasion, metastasis, and high mortality rate. Despite advances in therapeutic techniques like chemotherapy, radiotherapy, and surgery over the past few decades, the mortality rate of the disease still is high [1, 2]. It is a rare disease with high mortality rate [2].

Etiology of OSCC is multi factors and it occurs through a multi-stage process. Changes and damages affect and destabilize DNA [3]. OSCC is the most common oral cancer with epithelium causes in the oral cavity. The disease covers 90% of oral malignancies [3].

Smoking (Cigarette and tobacco) and alcoholic drinks are the main factors effective on development of oral cancer. Studies have shown that more than 50% of the patients smoke and the prevalent of the disease in the smokers is 2-3 times of the non-smokers [4].

Diagnosing the cancer through finding an accurate and effective relationship between biomarkers and the clinical symptoms of the disease and designing a non-invasive diagnosis method at the early stages of the disease is a serious challenge [5]. Diagnostic and prognostic biomarkers help the physicians to identify the cases with the higher risk of the cancer in early examinations. Through this, the physician has the opportunity to adopt the most effective medication [6,10]. Recently, biomarkers have drawn a great deal of attention for early diagnosis of cancer [11, 12].

Cytokeratin 19 (CK19) is a member of intermediate stand proteins family (Keratin family). The family includes 20 types of polypeptides, plays the main role in preserving integrity of epithelial cells, and it is one of the highly effective markers in diagnosing and controlling tumors [1 13, ].

Carcinoembryonic antigen (CEA) is a glycoprotein of cell membrane that acts as a tumor marker for diagnosing cancers. It is effective on adhesiveness of cell and it is usually synthesized during embryo development and stops functioning short before child birth [4]. Increase of serum level of CEA is a prognostic of the disease. Still, using more than one marker and carrying out molecular tests to examine mutations are more effective treatment methods [2].

Materials and Methods

Totally, 36 patients at Cancer Institute, Tehran University of Medical Sciences diagnosed as suspect OSCC cases and 36 volunteer healthy individuals (after being examined by a specialist) took part in the study.

By patient we refer to an individual at 1, 2, or 3rd stage of the disease –i.e. without distance recurrence metastasis, who has received no medical intervention (e.g. chemotherapy, radiotherapy or surgery). The participants in the both groups were identical in terms of age and gender.

Pleural fluid sample (10ml) was taken from all the participants. The top 2ml sample was removed from the study due to the risk of contamination with epithelial cells. The rest of the samples were immediately sent to lab for RNA extraction. The volume of sample was determined based on the sensitivity of RT-PCR technique.

RNA extraction

The process was carried out using RNeasy Midi Kit (qiagen Cat no. 75144). At first, red blood cells (if any) were lysed by lysis buffer. After centrifuge, the cell mass was rinsed with PBS accurately and the total mRNA was extracted through the extraction process.

cDNA development

The process was carried out using Viva 2-steps RT-PCR Kit (Cat no.RTPL12). The main elements needed for reverse transcription were provided in RT Primer Mix framework and the reserve transcription was done in a kit.

Quality and quantity of RNA and cDNA were checked at the end of each stage using Nanodrop Spectrophotometer (Bio-Tek, USA).

Designing special primer in AllelleID6

The special primer for each marker was designed in AlleleID6 and ordered to the producer. Tabl 1 lists the parameters and required volumes for the final Real-time reaction.

Table 1 .

Specification of the primers using in Real-time RT-PCR

Parameter	CEA-mRNA	CK19-mRNA	18s rRNA
F primer	ACCCTGGATGTCCTCTATGG	TCCGAACCAAGTTTGAGAC	GTAACCCGTTGAACCCCATT
Length of primer	20	19	20
R primer	CAGGCATAGGTCCCGTTATTA	AATCCACCTCCACACTGA	CCATCCAATCGGTAGTAGCG
Length of primer	21	18	20
Length of proliferation piece	174	222	152
Optimum annealing temperature	℃ 61.2	58.4℃	℃ 53.5

Real-time RT-PCR

HotTaq EvaGreen qPCR Mix (Cat No.BT11101- Sina Colon Co.) was used. The elements of RT-PCR were:

1. Pattern sequence (2µl);
2. Master mix (4µl);
3. The primer prepared based on the optimum concentration determined in set up tests; and
4. Distilled deionized water to increase the solution volume to 20µl.

Temperature and time period of the reaction were determined based on the instruction on the kit. The results of each reaction were interpreted based on Amplification and melt curves.

Table 2 - RT-PCR temperature and time period

Real-time step	Temperature	Duration
Initial activation	95ºC	5 min
40 cycles
Denaturation	59ºC	15 s
Annealing	56-60ºC	60 s
Extension	72ºC	20 s

Data analyses

Means scores of the two groups were compared using t-test and the percentage of positive markers in the two groups of the participants was compared using Two-sample binomial test in SPSS (20) (p≤0.05).

Findings

The participants included the patients (n = 36) and normal groups (n = 36). The results of t-test showed no significant differences in terms of mean age –i.e. age was not a confounding factor. (Tabl 3)

Table 3 - Mean age in the patients and healthy individuals groups (t-test)

Main group	Age(years)
	Range	Mean	SD
Patients(n=40)	24-68	45.65	10.33
Healthy(n=40)	25-70	49.04	11.57
	p-value=0.411 (SD=standard deviation)

RT-PCR results

CEA marker in the patients group was positive in 26 cases, which means 72% sensitivity. Number of the positive cases in the normal group was 11 out of 36. Comparison of the positive cases in the two groups using two-sample binomial test indicated a significant difference between the two groups (P-value=0.025). CK19 markers in the patients group was positive in 19 patients, which means 53% sensitivityNumber of positive cases in the normal group was eight out of 36. Comparison of the positive cases in the two groups using two-sample binomial test indicated a significant difference between the two groups (P-value = 0.011)(Fig.1).

Figure1: Evaluation of CEA and CK19 mRNA expression in the patients group and normal group

Difference between the markers in the two groups

The relative level of difference between the markers in the two groups of patients and normal individuals was measured for CEA-mRNA and CK19-mRNA through ΔΔct methodTwo to the power of ΔΔct yields the difference between the markers. As the results showed, the number of primary copies of CEA marker in the patients group was 2.14 times of the normal group. In addition, the number of primary copies of CK19 marker in the patients group was 1.52 times of the normal group (Fig.2).

Figure 2: Difference in expression of CEA, CK19 genes in the patients group and normal group

Discussion

OSCC is the eighth prevalent cancer in men and fifteenth prevalent cancer in women ([14]. It encompasses tumors in lips, tongue, gum, palate, saliva glands, tonsils, oropharyngeal, nasopharynx, and hypopharynx. More than 90% of oral cancers are OSCC and about 9% are saliva glands, sarcoma, and lymphoma carcinoma [14].

Since the five years survival rate is directly related to the stage of disease at the time of diagnosis, early preventive and intervention treatments not only attenuates severity of the disease, but also stops progress of the disease. Thereby and given the growing prevalence of oral cancer and that the disease is the cause of death of many, early diagnosis of the disease is imperative [15].

Biomarkers have drawn a great deal of attention for early diagnosis of cancer recently [11]. In fact, the biomarkers are key tools to study, follow up, and diagnose cancer [16].

In addition, tumor markers provide a way to supervise effectiveness of therapeutic measures [17]. Detailed knowledge of biomarkers of different disease including cancer is one of the key requirements in medicine. One of the main usages of the biomarkers is to determine the stage of cancer [18]. Methods for early diagnosis of OSCC were examined in this paper.

CK19 is a member of large family of intermediate strand protein (Keratin family). There are more than 20 polypeptides in the family and their main role is to preserve integrity of epithelial cells. They are one of the key markers in diagnosing and controlling tumors [1].

CEA is a glycoprotein of cell membrane and a tumor marker for diagnosing cancers. It plays a role in adhesiveness of cells; it is normally synthesized during embryo development and stops functioning short before child birth [2]. Increase in serum level of CEA is a prognosis of the disease progress. Still, surveying more than one tumor marker simultaneously and carrying out molecular tests to spot mutation is a more reliable way to diagnose and treat cancers [1].

In a study on 60 cases with OSCC and 20 normal cases, the VEGF-A levels of serum and tissue were determined through ELISA and immunohistochemistry methods respectively using antibodies against VEGF-A. The expression of VEGF-A mRNA was analyzed through PCR method and the results indicated 50 times increase in the expression [19]. CEA-mRNA and CK19-mRNA of the biomarkers were surveyed and the results showed an increase of the biomarkers in OSCC cases.

Surveys by Zhu G et al. (2004) of the expression of CK19-mRNA and CEA-mRNA in the peripheral blood of NSLC patients showed a positive expression rate of 50% for CK19-mRNA, 40% for CEA-mRNA, and 43% for the both. They concluded that CK19-mRNA and CEF-mRNA were proper biomarkers to diagnose micro-metastasis. Similar results were obtained by a recent study on OSCC [20].

Guo Y et al. (2009) surveyed the expression of CEA mRNA, CK20, and CK19 of peripheral blood in lung carcinoma patients through nested RT-PCR. They reported positive expression of 41% of CK20, 36.1% of CK19 and 48.2% of CEA mRNA; in addition, 73.5% of the samples had at least one positive marker that was related to metastasis (P<0.05) [21].

There was 72% positive CEA mRNA marker and 53% positive CK19 mRNA marker in OSCC cases. In this regard, there was a significant difference between the patients and normal groups.

In summary, the results introduced a diagnostic-screening test for early diagnosis of OSCC in the early stages. To have results with higher reliability, further studies with larger sample groups are recommended.

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