Analysis of lipid profile in cancer patients, smokers, and nonsmokers

Reddy, Amith V.; Killampalli, Lakshmi Keerthana; Prakash, A Ravi; Naag, Sushma; Sreenath, G; Biraggari, Sunil Kumar

doi:10.4103/1735-3327.197036

Cited by 17 publications

(5 citation statements)

References 13 publications

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“…The serum levels of these metabolites in patients with GC were considerably lower than those in patients with CG indicating a possible association between decreased TC, HDL-C, and ApoA1 levels with the progression of CG to GC. A decrease in the lipid profile in cancer patients may be due to increased utilization of lipids by neoplastic cells in membrane biogenesis, which is consistent with the findings of other studies (28,29). The results of untargeted metabolomic analysis and fasting lipid profile indicated that lipid metabolism may be associated with the development of CG to GC.…”

Section: Discussionsupporting

confidence: 90%

Serum Metabolic Profiling Analysis of Chronic Gastritis and Gastric Cancer by Untargeted Metabolomics

et al. 2021

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PurposeGastric cancer is a common tumor of the digestive system. Identification of potential molecules associated with gastric cancer progression and validation of potential biomarkers for gastric cancer diagnosis are very important. Thus, the aim of our study was to determine the serum metabolic characteristics of the serum of patients with chronic gastritis (CG) or gastric cancer (GC) and validate candidate biomarkers for disease diagnosis.Experimental DesignA total of 123 human serum samples from patients with CG or GC were collected for untargeted metabolomic analysis via UHPLC-Q-TOF/MS to determine characteristics of the serum. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and heat map were used for multivariate analysis. In addition, commercial databases were used to identify the pathways of metabolites. Differential metabolites were identified based on a heat map with a t-test threshold (p < 0.05), fold-change threshold (FC > 1.5 or FC < 2/3) and variable importance in the projection (VIP >1). Then, differential metabolites were analyzed by receiver operating characteristic (ROC) curve to determine candidate biomarkers. All samples were analyzed for fasting lipid profiles.ResultsAnalysis of serum metabolomic profiles indicated that most of the altered metabolic pathways in the three groups were associated with lipid metabolism (p < 0.05) and lipids and lipid-like molecules were the predominating metabolites within the top 100 differential metabolites (p < 0.05, FC > 1.5 or FC < 2/3, and VIP >1). Moreover, differential metabolites, including hexadecasphinganine, linoleamide, and N-Hydroxy arachidonoyl amine had high diagnostic performance according to PLS-DA. In addition, fasting lipid profile analysis showed the serum levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A1 (Apo-A1) were decreased concomitant to the progression of the progression of the disease compared with those in the control group (p < 0.05).ConclusionsThus, this study demonstrated that lipid metabolism may influence the development of CG to GC. Hexadecasphinganine, linoleamide, and N-Hydroxy arachidonoyl amine were selected as candidate diagnostic markers for CG and GC.

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Section: Discussionsupporting

confidence: 90%

Serum Metabolic Profiling Analysis of Chronic Gastritis and Gastric Cancer by Untargeted Metabolomics

et al. 2021

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“…The decrease in lipid profile in cancer patients might be due to their increased utilization of lipids by neoplastic cells in membrane biogenesis. 34 The proportion of participants with dyslipidemia was increased at the six month visit but it was not significant when compared to baseline. There was a significant increase in mean LDL-c at the six month visit compared to its baseline mean value.…”

Section: Discussionmentioning

confidence: 87%

<p>Dyslipidemia and Associated Factors in Tenofovir Disoproxil Fumarate-Based Regimen Among Human Immunodeficiency Virus-Infected Ethiopian Patients: A Hospital-Based Observational Prospective Cohort Study</p>

Yazie

2020

DHPS

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Background: Studies showed conflicting results regarding the effect of broadly used tenofovir disoproxil fumarate (TDF)-based regimen on lipid profiles, and in Ethiopia, there is no data regarding the magnitude of dyslipidemia and its associated factors. Objective: The aim of this study was to determine the magnitude of dyslipidemia and its associated factors among adult human immunodeficiency virus (HIV)-infected patients in TDF-based regimen in Tikur Anbessa Specialized Hospital (TASH) in Ethiopia. Methods: A hospital-based observational prospective cohort study was conducted on conveniently selected 63 patients in TASH from January to September, 2019. The data was analyzed by using SPSS version 21.0, and multivariate logistic regression was used to determine associated factors with dyslipidemia. Results: The overall dyslipidemia was 73% and 77.8% at baseline and six months, respectively. The prevalence of total cholesterol (TC) ≥200 mg/d, triglyceride (TG) ≥150 mg/dL, low density lipoprotein cholesterol (LDL-c) ≥130 mg/dL, and high density lipoprotein cholesterol (HDL-c) <40 mg/dL was 38.1% vs 42.9%, 23.8% vs 31.7%, 17.5% vs 22.2%, and 41.3% vs 41.3% at baseline and six month follow-up, respectively. Age ≥50 years old (AOR = 0.6, 95% CI: 0.004-0.71, p = 0.026) and body mass index (BMI) ≥25 kg/m 2 (AOR = 6.44, 95% CI: 1.34-30.9, p = 0.02) were significantly associated with TC ≥200 mg/dL. Having cancer (AOR = 0.04, 95% CI: 0.01-0.6, p = 0.019) and education level below diploma (AOR = 9.47, 95% CI: 1.15-77.96, p = 0.037) were significantly associated with overall dyslipidemia. Conclusion: In this study, the proportion of patients with dyslipidemia was higher at six month follow-up but there was no significant difference when compared to baseline. The mean LDL-c was significantly higher at six months compared to its baseline mean. The associated factors with dyslipidemia were age, BMI, having cancer and low level of education. Lipid profile monitoring is recommended in patients with a younger age and higher BMI.

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“…Alterations in serum levels of fatty acids and lipids between healthy individuals and lung cancer patients have also been observed, as dysregulation in fatty acid and lipid metabolism is very commonly observed in cancer (Table 1) (Reddy et al, 2016, Yeh et al, 2006, Hirsch et al, 2010, Zhang and Du, 2012, Currie et al, 2013). Serum levels of choline are commonly lowered in lung cancer patients as it is a precursor to membrane phospholipids, which are in high demand in proliferating tumors (Puchades-Carrasco et al, 2016).…”

Section: Metabolite Alterations In Cancer Patients Versus Healthy Indmentioning

confidence: 99%

A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment

et al. 2018

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Analysis of lipid profile in cancer patients, smokers, and nonsmokers

Cited by 17 publications

References 13 publications

Serum Metabolic Profiling Analysis of Chronic Gastritis and Gastric Cancer by Untargeted Metabolomics

Serum Metabolic Profiling Analysis of Chronic Gastritis and Gastric Cancer by Untargeted Metabolomics

<p>Dyslipidemia and Associated Factors in Tenofovir Disoproxil Fumarate-Based Regimen Among Human Immunodeficiency Virus-Infected Ethiopian Patients: A Hospital-Based Observational Prospective Cohort Study</p>

A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment

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