Literature DB >> 33967506

Morphometric analysis of basal cells of oral epithelium in predicting malignant transformation of oral potentially malignant disorders in patients with tobacco chewing habit.

Chatraspalli Krishna Santoshi1, Jogishetty Vijay Kumar1, Pacha Venkat Bhagirath1, B Hari Vinay1, Y John Prakash1.   

Abstract

BACKGROUND: Oral potentially malignant disorders (OPMDs) are a heterogenous group of disorders which precede the development of oral cancer. These are characterized by increased risk of malignant transformation to Oral cancer. AIMS &
OBJECTIVES: In this study, an attempt has been made to assess the morphological alterations of the nuclei of the basal cells in OPMDs and oral squamous cell carcinoma (OSCC). Our objective was to compare the alterations and to assess the predictive factor of such alterations of basal cells in malignant transformation of OPMDs to OSCC.
MATERIALS AND METHODS: This was a retrospective study conducted on tissue sections of 150 formalin fixed, paraffin embedded blocks obtained from the archives. The specimens were grouped into OSCC group (n= 50) and OPMDs (n= 100). Nuclear features were evaluated using computer- assisted microscopic image analysis. One- way ANOVA analysis was done to verify the difference between the groups for all variables.
RESULTS: Our results showed statistically significant difference for all parameters between the groups. Among OPMDs, leukoplakia showed significant increase in nuclear area, nuclear perimeter, Nuclear/Cytoplasm (N/C) ratio, density and loss of polarity, while OSF showed significance with only perimeter, density and loss of polarity.
CONCLUSION: Based on findings of present study, it is concluded that measurements using computer- aided morphometric analysis may provide an objective means for predicting the malignant transformation OPMDs to OSCC. Among OPMDs, Leukoplakia has a higher chance of malignant transformation than OSF. Copyright:
© 2021 Journal of Oral and Maxillofacial Pathology.

Entities:  

Keywords:  Leukoplakia; malignant transformation; morphometric analysis; nuclear parameters; oral squamous cell carcinoma; oral submucous fibrosis

Year:  2021        PMID: 33967506      PMCID: PMC8083430          DOI: 10.4103/jomfp.JOMFP_55_20

Source DB:  PubMed          Journal:  J Oral Maxillofac Pathol        ISSN: 0973-029X


INTRODUCTION

Despite the advancement of medical technologies and prognostic aids, cancer of oral cavity (COC) still remains as one of the highly prevalent cancers and also leading cause of mortality in developing countries, contributing nearly one-third of all cancers.[1] In 2018, COC accounted for an estimated 350,000 new cases and 177,000 deaths. In India alone, an estimated 120,000 new patients with OCC were diagnosed in 2018, of which about 72,000 patients died.[2] It was found to be that cancer of mouth and tongue, overshadow cancer of lung, making cancer of mouth (excluding tongue) as second most common cancer among males in major cities of India. The projected burden of cancer by the year of 2020 will be lung (102,300), mouth (99,495), prostate (61,222), tongue (60,669) and larynx (36,079) that makes COC, leading cancer site for men in most of India.[3] Among all oral malignancies, squamous cell carcinoma (SCC) is considered the lesion with the highest prevalence, accounting up to 90% of malignant tumors of the head-and-neck region.[45] Many researchers believed that early diagnoses of oral lesions are important in both prevention and therapeutic procedures. Most of the oral cancers are usually preceded by asymptomatic clinical lesions, collectively referred to as oral potentially malignant disorders (OPMDs).[6] Moreover, the most commonly encountered OPMDs are leukoplakia, erythroplakia, oral submucous fibrosis (OSMF), oral lichen planus (OLP), etc. The prevalence rate of OPMDs ranges from 1% to 5% worldwide.[7] The term OPMD stands for clinical diagnosis, for which the histological diagnosis will be hyperplasia, hyperkeratosis, oral epithelial dysplasia (OED) or oral SCC (OSCC). Current research has shown that malignant transformation of OPMD is mainly due to increased proliferation of basal layer cells under the influence of mediators from inflammatory infiltrate that in turn activates different pathways, leading to the development of tumor.[8] It was found to be that the overall malignant transformation rate (MTR) of leukoplakia was 3.5%, with rate varied between 0.13% and 34%,[9] MTR of OLP is 1.1% with variation between 0% and 10%[1011] and MTR of OED ranges between 1.4% and 36%.[1213] It is believed that variation in transformation is mainly attributed to differences in follow-up times, selection of patients and tobacco habits. It is emphasized that all OPMDs should be viewed with suspicion because even small, subtle lesions can manifest significant dysplasia or unsuspected carcinoma.[14] Recognition of dysplastic changes in earlier stage is vital in preventing carcinoma changes.[15] Dysplasia refers to abnormal growth and grading of OED into mild, moderate and severe is used to assess the probability of malignant transformation. It has been reported that 7%–50% of severe, 3%–30% of moderate and <5% of mild dysplastic lesions are capable of transforming into carcinomas.[41617] The more are the dysplastic changes occur, the more unusual is the basal and parabasal epithelium across the whole oral epithelium. Dysplasia comprises a loss in the uniformity of individual cell as well as loss in architectural orientation.[18] Commonly seen dysplastic changes are nuclear hyperplasia, hyperchromatism, prominent nucleoli, increased nuclear-to-cytoplasmic ratio, increased cellular density, abnormal mitotic figures, epithelial pearls, basal cell hyperplasia, loss of polarization, etc. Owing to unreliability associated with the subjective evaluation of epithelial dysplasia and histopathological diagnosis, many researchers sought for more objective approach regarding the predictive value of the atypical appearance of the basal layer. Computer-aided morphometric analysis reduces the errors of interobserver variation, would be of value to improve reproducibility and histopathological diagnosis. In this study, an attempt has been made to assess the morphological alterations of the nuclei of the basal cells in OPMDs and OSCC. Our objective was to compare the alterations and to assess the predictive factor of the such alterations of basal cells in the malignant transformation of OPMDs to OSCC.

MATERIALS AND METHODS

Sample

Our study comprised tissue sections of 150 formalin-fixed, paraffin-embedded blocks obtained from the archived blocks of biopsy specimens, department of oral pathology and microbiology. These specimens were then divided into two groups as Group I and Group II. Group I included fifty samples of OSCC which is a control group and Group II is a study group with a total of 100 samples. Group II is again divided into two subgroups, i.e., IIA comprises fifty samples of leukoplakia and IIB comprises fifty samples of OSMF. The study was approved by the ethics committee of the institute (PMVIDSandRC/IEC/OMFP/DN/0096-16). Informed consent regarding the use of tissue blocks for the purpose of the study was obtained from all patients in accordance with institutional guidelines.

Tissue sectioning

Tissue sections of approximately 5 μm thickness were cut using a soft-tissue microtome. The sections were stained using Harris's hematoxylin and eosin. All slides were coded to make sure that the observer must not be aware regarding clinical diagnosis and histological grading during the measurements. The stained sections were observed under research microscope and were then microscopically photographed using camera.

Computer-aided morphometric analysis

For each case, five microscopic fields were randomly selected. Photographs of selected fields were taken, captured on to the hard drive of the computer where they were analyzed using T-? Capture image analysis software (Version 3.9.0.605) Tucsen Scientific Camera, Photonics Co., Ltd., 2011 (Basic version), Fuzhou, Fujian Province of China. In each case, nuclei of tumor cells with clear, complete and nonoverlapping outlines were randomly selected to analyze variables such as nuclear area (NA), nuclear perimeter (NP), nuclear-cytoplasmic ratio (N/C), density of basal cells and loss of polarity (LOP) of the basal layer. NA and NP: NA was measured in μm2 and NP was measured in μm (microns) by tracing around the nucleus. The software then automatically calculates and presented the output of NA and NP. Schematic illustrations of measurement of NA and NP were presented in Figure 1. For each field, five largest nuclei with clear outlines were selected
Figure 1

Measurement of nuclear and nuclear perimeter

N/C ratio: The N/C ratio was calculated using the formula N/C ratio = NA/Cell area - NA The density of the basal cells: Basal cell density was measured to represent the degree of abnormal proliferation of basal cells. It was calculated to evaluate the density per unit length [Figure 2]. The calculation formula was as follows:
Figure 2

Measurement of density of basal cells

The density of basal cells = number of the basal cells/length of the basement membrane LOP: LOP of basal layer is considered as one of the representative findings for predicting the progression of OED into invasive carcinoma. In the present study, we quantified LOP using morphometric methods, i.e., (1) length between the upper pole of the nucleus and the basal cell membrane (LOP1) and (2) length between the apical membrane of the cells and the basement membrane (LOP2) [Figure 3].
Figure 3

Measurement of loss of polarity (1 and 2)

Measurement of nuclear and nuclear perimeter Measurement of density of basal cells Measurement of loss of polarity (1 and 2) The measurement units for the morphometric analysis include μm2 for NA and cytoplasmic area, whereas it is μm for the rest of the other parameters. All the measurements are saved in Microsoft Excel for further statistical analysis.

Statistical analysis

Statistical analysis was performed using SPSS package version 20.0 (IBM, Chicago, IL, USA). P < 0.05 was considered statistically significant. One-way ANOVA was performed to compare the differences between the groups (control and study), followed by Tukey's honestly significant difference multiple comparison test. Pearson's correlation was performed to analyze correlation between all parameters in OSCC, leukoplakia and OSF.

RESULTS

The mean NA for control group (OSCC) was 44.33 μm2, whereas for leukoplakia and OSF groups, it was 40.65 and 36.48 μm2, respectively. The mean NA was progressively decreased from OSCC to OPMDs. One-way ANOVA showed that there was a statistically significant difference in the NA among the groups (P = 0.0001; i.e., <0.05) [Table 1].
Table 1

Analysis of variance of nuclear area between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups21543.43771.715511.14320.0001*
Within groups14710180.3569.2541
Total14911723.78

*Statistically significant (P<0.05)

Analysis of variance of nuclear area between study and control groups *Statistically significant (P<0.05) The mean NP for control group (OSCC) was 25.12 μm, 24.06 μm for leukoplakia and 23.1 μm for OSF. It was also observed that there was a gradual decrease in mean NP from OSCC to OPMDs. One-way ANOVA showed that there was a statistically significant difference in the NP among the groups (P = 0.0004; i.e., <0.05) [Table 2].
Table 2

Analysis of variance of nuclear perimeter between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups2102.0951.0468.3960.0004*
Within groups147893.706.079
Total149995.8

*Statistically significant (P<0.05)

Analysis of variance of nuclear perimeter between study and control groups *Statistically significant (P<0.05) The mean N/C ratio of OSCC group was 0.836 μm, leukoplakia was 0.982 μm and OSF was 0.889 μm. It was also observed that the mean of OPMDs was significantly higher when compared to the mean of OSCC individuals (P = 0.0013; i.e., <0.05) [Table 3].
Table 3

Analysis of variance of nuclear-cytoplasmic ratio between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups20.55330.27666.93530.0013*
Within groups1475.86380.0399
Total1496.4171

*Statistically significant (P<0.05)

Analysis of variance of nuclear-cytoplasmic ratio between study and control groups *Statistically significant (P<0.05) The mean density of basal cells for OSCC group was 0.154 μm, leukoplakia was 0.189 μm and OSF was 0.182 μm. It was also observed that the mean of OPMDs was significantly higher when compared to the mean of OSCC individuals (P = 0.0013; i.e., <0.05) [Table 4].
Table 4

Analysis of variance of density of basal cells between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups20.03500.017511.15060.0001*
Within groups1470.23090.0016
Total1490.2659

*Statistically significant (P<0.05)

Analysis of variance of density of basal cells between study and control groups *Statistically significant (P<0.05) Tables 5 and 6 show a statistically significant difference (One-way ANOVA) between the groups in terms of loss of polarity 1 and 2. Mean values of LOP 1 for OSCC, leukoplakia and OSF were 14.5, 13.4 and 12.6, and the mean values for LOP 2 were 17.5, 16.1 and 15.2, respectively. It was also observed that loss of polarity (both 1 and 2) was found to be more in OSCC group and then gradually decreased for both leukoplakia and OSF.
Table 5

Analysis of variance of loss of polarity 1 between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups283.2841.6410.8430.0001*
Within groups147564.553.84
Total149647.83

*Statistically significant (P<0.05)

Table 6

Analysis of variance of loss of polarity 2 between study and control groups

Sources of variationDegrees of freedomSum of squaresMean sum of squaresFP
Between groups2140.5270.2614.8680.0001*
Within groups147694.644.72
Total149835.16

*Statistically significant (P<0.05)

Analysis of variance of loss of polarity 1 between study and control groups *Statistically significant (P<0.05) Analysis of variance of loss of polarity 2 between study and control groups *Statistically significant (P<0.05)

DISCUSSION

The term “premalignant” is commonly used and widely understood, it entails considerable risks that an individual lesion may inevitably become malignant.[19] The term “potentially premalignant” is referred when the risk regarding the progression to malignancy is statistically increased.[20] From the clinical point of view, it is absolutely vital to assess the risk of malignant transformation of OPMD into invasive carcinoma, owing to the fact that the prediction of outcome for an individual patient remains difficult once transformation occurred. Therefore, the early and careful diagnosis is of extreme significance so that efforts can be made to arrest the progression of OPMD to OSCC. Researchers have believed that so far, the prediction of malignant transformation from epithelial dysplasia is subjective, suggested the need for sophisticated techniques to improve the histologic assessment of OED.[18] This led to the introduction of computer-assisted morphometric techniques, by which one can investigate the cellular and nuclear changes with respect to histological behavior of the lesions. The present study carried out morphometric analysis of the cellular and nuclear measurements of basal and suprabasal cells among patients diagnosed with OSCC, leukoplakia and OSF. Numerous studies were done in the past applying morphometry for grading and for predicting prognosis of various cancers. And also, studies with respect to oral cavity were done applying morphometric techniques to normal mucosa as well as OPMDs such as leukoplakia, lichen planus, OSF and OEDs.[2122232425] The present results have shown that there is steady in NA and NP dimensions from OPMDs i.e., leukoplakia and OSF to OSCC. The mean values of NA and NP were found to be larger in OSCC, which are 44.3 μm2 and 25.1 μm. These results were found to be compatible with those reported by Gupta et al.,[26] Smitha et al.[18] and Shabana et al.[23] Their results showed a progressive increase in NA and NP from OSF, leukoplakia to OSCC. This increase in NA and NP in OPMDs and OSCC is mainly attributed to rapid and abnormal growth of neoplastic cells and also due to increase in DNA synthesis.[2427] An increase in N/C ratio is cited as standard feature of cellular atypia and considered as a suggestive feature of premalignant change in suspicious lesions. White et al. expected the lowest N/C ratio to be seen in normal controls, nonneoplastic lesions without malignant potential and benign neoplasms, followed by potentially premalignant group and the malignant group would have substantially higher values or perhaps similar to that of potentially premalignant group.[28] The present results showed the N/C ratio of basal cells of OPMDs, i.e., leukoplakia (0.982 μm) and OSF (0.889 μm) was significantly higher than that of OSCC (0.836 μm), which is similar to the findings of Shabana et al.[23] Moreover, these findings were found contrary to that Jin et al.,[29] Ramaesh et al.[30] and Gupta et al.,[26] where they showed a decrease in the N/C ratio from OSCC to leukoplakia to normal mucosa. The results of the present study showed that a significant relation is observed between OSCC and OPMDs in terms of density of basal cells. Within OPMDs, it showed a decrease in the density of basal cells from OSCC to leukoplakia and from OSCC to OSF, with a significant value, indicating high proliferative activity in the OPMDs. This proliferation may be due to release of local acetylcholine transmitters by the action of carcinogens, resulting in increased signal transduction pathways. Cell community in human body comprises billions of cells; it reflects a dynamic system with a well-regulated balance between the cell proliferation and death. When this balance is skewed in favor of cell accumulation, the result is tumor development which in turn destructs the entire cell community.[31] Cell polarity is one such regulatory factor that governs cellular proliferation, death and their replenishment. The fundamental role of apical-basal polarity with respect to tumor suppression is to upkeep tight apical junctional complex and conversation of asymmetric cell division. In addition, evidence suggests that the proteins involved in cell polarity are usually targeted by several oncogenes.[32] The findings from morphometric study by Okamura et al. suggested that the disordered arrangement of the basal cells as loss of polarity may be helpful to predict the malignant transformation of OED.[33] Results of the present study showed a significant difference between OSCC and OPMDs, with a decrease in the loss of polarity from OSCC to leukoplakia and from OSCC to OSF. This might be due to increased expression of matrix metalloproteinases, resulting in a shift in the position of basal cell nuclei, leading to epithelial–mesenchymal transition and finally to invasion. Due to this, there observed a shift in the polarity of the nucleus and position of the basal cells in OPMDs.

CONCLUSION

A significant relation of morphometric parameters such as NA, nuclear perimeter, N/C ratio, density and loss of polarity of the basal cells is observed between OSCC and OPMDs. Within OPMDs, leukoplakia showed significance with almost all the factors included, than OSF with OSCC, indicating high chances of malignant transformation of leukoplakia to OSCC, compared to OSF. Morphological changes in the nucleus of the basal cells act as a diagnostic tool in predicting the malignant transformation of OPMDs to OSCC. Overall, from the results of the present study, it can be inferred that measurements using computer-aided morphometric analysis may provide an objective means for the assessment of epithelial dysplasia.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  29 in total

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Review 5.  Prognosis of oral pre-malignant lesions: significance of clinical, histopathological, and molecular biological characteristics.

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6.  Nomenclature and classification of potentially malignant disorders of the oral mucosa.

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7.  Oral epithelial dysplasia classification systems: predictive value, utility, weaknesses and scope for improvement.

Authors:  S Warnakulasuriya; J Reibel; J Bouquot; E Dabelsteen
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Review 9.  Epithelial dysplasia in oral cavity.

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10.  Oral epithelial dysplasia: Classifications and clinical relevance in risk assessment of oral potentially malignant disorders.

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