Association between Lipid Profile and Ovarian Cancer in women of North India

Tiwari, Sunita; Verma, Arti; Sankhwar, Pushplata; Dwivedi, Anila; Srivastava, Rohit; Tripathi, Dinesh Kumar; Singh, Pratibha

doi:10.7439/ijbr.v6i7.2272

Cited by 4 publications

(6 citation statements)

References 20 publications

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“…Our study results have shown significantly higher levels of BG, TAGs, LDL-c and low HDL-c in the OC patients compared to the control group. These findings confirm previous reports [5] [6] [12] [18] [28] [29] [30], but contradict others who reported significantly lower levels of TAGs or LDL-c in OC patients compared to healthy controls [9] [13]. Interestingly, our findings with regard to serum lipids concord with results of a recent metabolomic analysis intended to predict the biomarkers of OC prognosis, in which increased levels of TAGs were identified as a characteristic biomarker of serum lipid profile in OC patients [29].…”

Section: Discussionsupporting

confidence: 93%

“…Although these studies have so far linked altered levels of BG and serum lipids to the risk and severity of the OC, their results were mostly conflicting, and the re-Open Journal of Obstetrics and Gynecology lationship between the levels of BG, and serum lipids and the risk of OC remained equivocal. For example, a number of studies found significantly higher levels of TAGs in patients with OC [5] [6] [12] [13] [16] [17] [18], while another study has reported low levels of TAGs in OC [9]. Likewise, there are reports of low levels of circulating TC in OC patients compared to healthy controls [8] [10] [13] [14] [15], and other reports of moderate or high levels of TC in OC patients compared to healthy control [12] [19].…”

Section: Introductionmentioning

confidence: 99%

“…For example, a number of studies found significantly higher levels of TAGs in patients with OC [5] [6] [12] [13] [16] [17] [18], while another study has reported low levels of TAGs in OC [9]. Likewise, there are reports of low levels of circulating TC in OC patients compared to healthy controls [8] [10] [13] [14] [15], and other reports of moderate or high levels of TC in OC patients compared to healthy control [12] [19]. Similarly, analysis of the levels of LDL-c and HDL-c in patients with OC have shown contradicting results [9] [12] [13] [18].…”

Section: Introductionmentioning

confidence: 99%

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Altered Levels of Blood Glucose and Serum Lipids in Sudanese Patients with Ovarian Cancer

Hassaan¹,

Khirelsied²,

Ali³

et al. 2023

OJOG

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Background: The etiology of ovarian cancer is not well-understood; numerous metabolomics profiling, epidemiological, and hospital-based case control studies have associated abnormal levels of blood glucose and serum lipids with the risk and the prognosis of various types of cancers including ovarian cancer. The association between the risk of the incidence of ovarian cancer and the alterations in the levels of blood glucose and serum lipids is not well defined. Objective: In this study we aimed to compare the levels of blood glucose, triacylglycerols, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol in patients with different stages of ovarian cancer and healthy controls to determine how they relate to the risk and prognosis of ovarian cancer. Methodology: In a case-control cross sectional study, we enrolled ninety-nine Sudanese women, diagnosed with ovarian cancer but had not received any kind of treatment as the study group, and a control group of forty-one age-matched, apparently healthy women. The patients were classified according to the International Federation of Obstetricians and Gynecologists staging system into two groups: early stages (stage I & II) and late stages (stages III & IV). Blood glucose and serum lipids; triacylglycerols, total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol were determined by enzymatic colorimetric methods using commercially available analytical kits. The IBM SPSS version 20 software was used for statistical analysis. A Mann-Whitney U test was used for comparison of the median concentrations of blood glucose, triacylglycerols, total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol in the study groups. Logistic regression model was used to estimate the relative risk of ovarian cancer in relation to levels of blood glucose How to cite this paper:

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Altered Levels of Blood Glucose and Serum Lipids in Sudanese Patients with Ovarian Cancer

Hassaan¹,

Khirelsied²,

Ali³

et al. 2023

OJOG

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“…Increased levels of VLDL in OC patients were observed by Manisha and Jindal (2019) and Tiwari et al (2015), which is consistent with the results in this project where we identified VLPN, VLAB, V4CH, V4PL, and V4TG to be higher in HGSOC. Such increased lipoproteins indicate that CL, phospholipids, and TG were transferred to HGSOC cells.…”

Section: Altered Lipoproteins and Glycoprotein Inflammation Markers I...supporting

confidence: 92%

Stratification of ovarian cancer borderline from high-grade serous carcinoma patients by quantitative serum NMR spectroscopy of metabolites, lipoproteins, and inflammatory markers

Bae

Berezhnoy

Koch

et al. 2023

Front. Mol. Biosci.

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Background: Traditional diagnosis is based on histology or clinical-stage classification which provides no information on tumor metabolism and inflammation, which, however, are both hallmarks of cancer and are directly associated with prognosis and severity. This project was an exploratory approach to profile metabolites, lipoproteins, and inflammation parameters (glycoprotein A and glycoprotein B) of borderline ovarian tumor (BOT) and high-grade serous ovarian cancer (HGSOC) for identifying additional useful serum markers and stratifying ovarian cancer patients in the future.Methods: This project included 201 serum samples of which 50 were received from BOT and 151 from high-grade serous ovarian cancer (HGSOC), respectively. All the serum samples were validated and phenotyped by 1H-NMR-based metabolomics with in vitro diagnostics research (IVDr) standard operating procedures generating quantitative data on 38 metabolites, 112 lipoprotein parameters, and 5 inflammation markers. Uni- and multivariate statistics were applied to identify NMR-based alterations. Moreover, biomarker analysis was carried out with all NMR parameters and CA-125.Results: Ketone bodies, glutamate, 2-hydroxybutyrate, glucose, glycerol, and phenylalanine levels were significantly higher in HGSOC, while the same tumors showed significantly lower levels of alanine and histidine. Furthermore, alanine and histidine and formic acid decreased and increased, respectively, over the clinical stages. Inflammatory markers glycoproteins A and B (GlycA and GlycB) increased significantly over the clinical stages and were higher in HGSOC, alongside significant changes in lipoproteins. Lipoprotein subfractions of VLDLs, IDLs, and LDLs increased significantly in HGSOC and over the clinical stages, while total plasma apolipoprotein A1 and A2 and a subfraction of HDLs decreased significantly over the clinical stages. Additionally, LDL triglycerides significantly increased in advanced ovarian cancer. In biomarker analysis, glycoprotein inflammation biomarkers behaved in the same way as the established clinical biomarker CA-125. Moreover, CA-125/GlycA, CA-125/GlycB, and CA-125/Glycs are potential biomarkers for diagnosis, prognosis, and treatment response of epithelial ovarian cancer (EOC). Last, the quantitative inflammatory parameters clearly displayed unique patterns of metabolites, lipoproteins, and CA-125 in BOT and HGSOC with clinical stages I–IV.Conclusion:1H-NMR-based metabolomics with commercial IVDr assays could detect and identify altered metabolites and lipoproteins relevant to EOC development and progression and show that inflammation (based on glycoproteins) increased along with malignancy. As inflammation is a hallmark of cancer, glycoproteins, thereof, are promising future serum biomarkers for the diagnosis, prognosis, and treatment response of EOC. This was supported by the definition and stratification of three different inflammatory serum classes which characterize specific alternations in metabolites, lipoproteins, and CA-125, implicating that future diagnosis could be refined not only by diagnosed histology and/or clinical stages but also by glycoprotein classes.

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“…For instance, HDL particles are rich in phospholipids and decreased HDL-cholesterol [ 13 ] and Apolipoprotein A-I (ApoAI) [ 14 ] levels have been reported in ovarian cancer patients. For other lipoproteins, LDL and VLDL, the direction of change in ovarian cancer patients is less clear [ 13 , 15 ]. A limitation of our study was that we did not have clinical cholesterol measurements available from the samples, and therefore further lipoprotein and lipidomic studies are needed to understand the in-depth alterations of lipoprotein lipids in ovarian cancer patients.…”

Section: Discussionmentioning

confidence: 99%

High-grade ovarian serous carcinoma patients exhibit profound alterations in lipid metabolism

et al. 2017

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Ovarian cancer is a very severe type of disease with poor prognosis. Treatment of ovarian cancer is challenging because of the lack of tests for early detection and effective therapeutic targets. Thus, new biomarkers are needed for both diagnostics and better understanding of the cellular processes of the disease. Small molecules, consisting of metabolites or lipids, have shown emerging potential for ovarian cancer diagnostics. Here we performed comprehensive lipidomic profiling of serum and tumor tissue samples from high-grade serous ovarian cancer patients to find lipids that were altered due to cancer and also associated with progression of the disease. Ovarian cancer patients exhibited an overall reduction of most lipid classes in their serum as compared to a control group. Despite the overall reduction, there were also specific lipids showing elevation, and especially alterations in ceramide and triacylglycerol lipid species were dependent on their fatty acyl side chain composition. Several lipids showed progressive alterations in patients with more advanced disease and poorer overall survival, and outperformed CA-125 as prognostic markers. The abundance of many serum lipids correlated with their abundance in tumor tissue samples. Furthermore, we found a negative correlation of serum lipids with 3-hydroxybutyric acid, suggesting an association between decreased lipid levels and fatty acid oxidation. In conclusion, here we present a comprehensive analysis of lipid metabolism alterations in ovarian cancer patients, with clinical implications.

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Association between Lipid Profile and Ovarian Cancer in women of North India

Cited by 4 publications

References 20 publications

Altered Levels of Blood Glucose and Serum Lipids in Sudanese Patients with Ovarian Cancer

Altered Levels of Blood Glucose and Serum Lipids in Sudanese Patients with Ovarian Cancer

Stratification of ovarian cancer borderline from high-grade serous carcinoma patients by quantitative serum NMR spectroscopy of metabolites, lipoproteins, and inflammatory markers

High-grade ovarian serous carcinoma patients exhibit profound alterations in lipid metabolism

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