Evaluation of Serum Lipids and Lipoproteins as Prognosticators in Leukoplakia

Ganavi, B S; Patil, Shankargouda; Rao, Roopa S

doi:10.5005/jp-journals-10024-1531

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…The serum TC, LDL and CHO/HDL ratio showed a slight decrease among the leukoplakia group compared with controls, and these findings coincide with BS Ganavi et al ,[ 23 ] Gupta S et al [ 24 ] & Baduni et al [ 25 ] [ Table 3 ]. The major inducing factor for leukoplakia is tobacco, and the various carcinogens in it can stimulate the production of free radicals as well as reactive oxygen species, which cause an increased rate of oxidation/peroxidation of PUFA.…”

Section: Discussionsupporting

confidence: 82%

Lipid profile in oral potentially malignant disorders and oral squamous cell carcinoma – A prognostic view

Sai

Babburi

Deepthi

et al. 2022

Journal of Oral and Maxillofacial Pathology

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Introduction: Lipids play an important role in the maintenance of cell integrity. Various tobacco-associated products are known to induce the generation of free radicals and reactive oxygen species, responsible for the high rate of oxidation/peroxidation of polyunsaturated fatty acids. These further release peroxide radicals, causing increased utilization of lipids leading to hypolipidemia. Aim: The aim of this study was to evaluate and compare the lipid profile pattern of patients with oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) with healthy controls. Material and Methods: The study included 90 subjects with 30 OPMDs, 30 OSCC and 30 healthy controls. Fasting blood samples were collected from subjects and were analysed for serum lipids, including the following: i) Total cholesterol (TC) ii) High-density lipoproteins (HDL) iii) Low-density lipoproteins (LDL) iv) Very low-density lipoproteins (VLDL) v) Triglycerides (TG) vi) CHO/HDL ratio by using semi auto analyser. Statistical Analysis Used: The statistical tests used were the independent t-test, ANOVA test. A P value of <0.05 and <0.01 was considered statistically significant. Results: A statistically significant decrease in serum TC, LDL and CHO/HDL ratio was observed among OPMD and OSCC groups than controls, whereas a significant decrease in serum VLDL and TG (p value <0.01) in poorly differentiated OSCC was seen. Conclusion: The study shows an association between lipid variations and OPMD and OSCC. Low levels of lipids could be due to the rapidly dividing cells in premalignancies and malignancies utilizing them for new membrane biogenesis. Thus, lower lipid status may be a useful indicator for initial changes happening in neoplastic cells.

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Section: Discussionsupporting

confidence: 82%

Lipid profile in oral potentially malignant disorders and oral squamous cell carcinoma – A prognostic view

Sai

Babburi

Deepthi

et al. 2022

Journal of Oral and Maxillofacial Pathology

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“…This suggests that higher serum CHOL levels correlate with a decreased risk of late stage tumors. Furthermore, existing studies indicate that serum CHOL levels in OSCC patients are lower than those in healthy controls [ 39 , 40 ]. Recent research by Kei et al [ 41 ] has highlighted the complex biological interplay between blood chloride ion levels and tumor development.…”

Section: Discussionmentioning

confidence: 99%

Integrating lipid metabolite analysis with MRI-based transformer and radiomics for early and late stage prediction of oral squamous cell carcinoma

Li,

Gao

et al. 2024

BMC Cancer

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Background Oral Squamous Cell Carcinoma (OSCC) presents significant diagnostic challenges in its early and late stages. This study aims to utilize preoperative MRI and biochemical indicators of OSCC patients to predict the stage of tumors. Methods This study involved 198 patients from two medical centers. A detailed analysis of contrast-enhanced T1-weighted (ceT1W) and T2-weighted (T2W) MRI were conducted, integrating these with biochemical indicators for a comprehensive evaluation. Initially, 42 clinical biochemical indicators were selected for consideration. Through univariate analysis and multivariate analysis, only those indicators with p-values less than 0.05 were retained for model development. To extract imaging features, machine learning algorithms in conjunction with Vision Transformer (ViT) techniques were utilized. These features were integrated with biochemical indicators for predictive modeling. The performance of model was evaluated using the Receiver Operating Characteristic (ROC) curve. Results After rigorously screening biochemical indicators, four key markers were selected for the model: cholesterol, triglyceride, very low-density lipoprotein cholesterol and chloride. The model, developed using radiomics and deep learning for feature extraction from ceT1W and T2W images, showed a lower Area Under the Curve (AUC) of 0.85 in the validation cohort when using these imaging modalities alone. However, integrating these biochemical indicators improved the model’s performance, increasing the validation cohort AUC to 0.87. Conclusion In this study, the performance of the model significantly improved following multimodal fusion, outperforming the single-modality approach. Clinical relevance statement This integration of radiomics, ViT models, and lipid metabolite analysis, presents a promising non-invasive technique for predicting the staging of OSCC.

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“…24 The results of the present study show that total cholesterol, TG, HDL, and LDL were significantly reduced in the OSCC and OPC groups when compared with the reference values which is in agreement with studies reported by Ashutosh et al and Garg et al 25,26 Other studies have also reported decreased lipid levels in cancer patients but with variable lipid profile patterns as compared to control group. [27][28][29][30][31][32][33][34][35][36][37][38] Lohe et al and Patel et al found a significant decrease in TC, HDL, VLDL, and TG but not in LDL in patients with OSCC. 1,8 Acharya et al reported significant decrease in TC, HDL, LDL, and VLDL but not for TG in patients with OSCC.…”

Section: Discussionmentioning

confidence: 99%

Correlation of plasma lipid levels and histopathological grading in patients with oral squamous cell carcinoma and its pre-cancerous lesions

Singh

et al. 2018

Int J Otorhinolaryngol Head Neck Surg

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Background: Lower levels of lipid in proliferating tissues and in blood compartments may occur due to ongoing process of oncogenesis. The evidence regarding hypolipidemia as a predisposing factor for malignancy is scarce. Therefore, this study was undertaken to study alteration of plasma lipid levels in patients diagnosed with oral squamous cell carcinoma (OSCC) and its oral pre-cancerous (OPC) lesions and also to compare the plasma lipid profile in different grades of OSCC.Methods: A single centre prospective cross sectional study was carried out among 150 consecutive patients of OSCC and OPC lesions. The diagnosis of all lesions was confirmed histopathologically and grading was also done for each lesion based on degree of differentiation and keratinization of tumour cells. Serum total cholesterol, HDL, TG, LDL was estimated by using semi-automated chemical analyzer. The lipid levels were compared by using unpaired t-test between two strata whereas one way analysis of variance (ANOVA) with Tukey’s post-hoc tests was used among more than two strata. Results: Total cholesterol, TG, HDL, and LDL were significantly reduced in OSCC and OPC groups when compared with the reference values. Serum TC, LDL and HDL levels were found to be decreased with the loss of differentiation in histological grading but with no statistical significance.Conclusions: It can be inferred that there is an inverse relationship between the serum lipid profile values of TC, HDLC, TG, LDL and OSCC as well as OPC patients. The lower serum lipid status may be considered a useful indicator for initial changes occurring in neoplastic cells.

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Evaluation of Serum Lipids and Lipoproteins as Prognosticators in Leukoplakia

Cited by 9 publications

References 42 publications

Lipid profile in oral potentially malignant disorders and oral squamous cell carcinoma – A prognostic view

Lipid profile in oral potentially malignant disorders and oral squamous cell carcinoma – A prognostic view

Integrating lipid metabolite analysis with MRI-based transformer and radiomics for early and late stage prediction of oral squamous cell carcinoma

Correlation of plasma lipid levels and histopathological grading in patients with oral squamous cell carcinoma and its pre-cancerous lesions

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