Assessing Metabolic Risk Factors for LVSI in Endometrial Cancer: A Cross-Sectional Study

ObjectiveWe analyzed the association between the triglyceride‐glucose index (TyG index) and incident endometrial carcinogenesis, aiming to determine whether the TyG index is a promising predictive biomarker for endometrial carcinoma (EC).MethodsIn this retrospective cohort study, multiple logistic regression analysis was performed to evaluate the relationship between TyG index and EC incidence and progression. The receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC), as well as the cut‐off value of the TyG index for EC incidence.ResultsThe TyG index was significantly higher in patients with EC or endometrial atypical hyperplasia (EAH) than in those with normal endometrium (P < 0.001). A continuous rise was observed in the incidence of EC and EAH among the tertiles of the TyG index (P < 0.001). The multiple logistic regression analysis revealed that the TyG index was associated with EC and EAH risk after adjusting for potential confounding factors (EAH: odds ratio [OR] 2.54, 95% confidence interval [CI] 1.33–4.85, P = 0.005; EC: OR 2.65, 95% CI 1.60–4.41, P < 0.001). Moreover, high TyG index was positively associated with advanced pathological stage (OR 2.14, 95% CI 1.32–3.47, P = 0.002) and poorer differentiation (OR 2.53, 95% CI 1.36–4.72, P = 0.004).ConclusionThe TyG index might be a promising biomarker for endometrial carcinogenesis. Subjects with a higher TyG index should be aware of the risk of EC incidence and progression.

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“…Triglycerides and FBG were both independent risk factors of EC incidence 23 . Elevated levels of TGs can increase insulin levels.…”

Section: Discussionmentioning

confidence: 91%

“…22 Triglycerides and FBG were both independent risk factors of EC incidence. 23 24 The reasons for these discrepancies could be that in Fritz…”

Section: Ta B L Ementioning

confidence: 99%

Triglyceride‐glucose index (TyG index) and endometrial carcinoma risk: A retrospective cohort study

Shi

Guo

Zheng³

et al. 2023

Intl J Gynecology & Obste

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“…When tumor cells penetrate the basement membrane and invade or penetrate into the surrounding tissues, it is usually accompanied by the invasion of interstitial lymphatic vessels and small vessels 11 . Tumor cells invading these lymphatic vessels or small blood vessels can form homopolymers, or bind to white blood cells and platelets to form heteropolymers, which results in intravascular cancer thrombosis 19 . Furthermore, these tumor thrombi float in blood vessels or lymphatic vessels and spread through the bloodstream or lymphatic system to all parts of the body to promote tumor metastasis.…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer

Wang,

Pang,

Shi

et al. 2024

Sci Rep

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This study aimed to identify factors that affect lymphovascular space invasion (LVSI) in endometrial cancer (EC) using machine learning technology, and to build a clinical risk assessment model based on these factors. Samples were collected from May 2017 to March 2022, including 312 EC patients who received treatment at Xuzhou Medical University Affiliated Hospital of Lianyungang. Of these, 219 cases were collected for the training group and 93 for the validation group. Clinical data and laboratory indicators were analyzed. Logistic regression and least absolute shrinkage and selection operator (LASSO) regression were used to analyze risk factors and construct risk models. The LVSI and non-LVSI groups showed statistical significance in clinical data and laboratory indicators (P < 0.05). Multivariable logistic regression analysis identified independent risk factors for LVSI in EC, which were myometrial infiltration depth, cervical stromal invasion, lymphocyte count (LYM), monocyte count (MONO), albumin (ALB), and fibrinogen (FIB) (P < 0.05). LASSO regression identified 19 key feature factors for model construction. In the training and validation groups, the risk scores for the logistic and LASSO models were significantly higher in the LVSI group compared with that in the non-LVSI group (P < 0.001). The model was built based on machine learning and can effectively predict LVSI in EC and enhance preoperative decision-making. The reliability of the model was demonstrated by the significant difference in risk scores between LVSI and non-LVSI patients in both the training and validation groups.

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“…Research on APOs in endometrial cancer is sparse. One study investigated whether APOA and APOB could be considered as independent risk factors for lymphovascular space invasion in type 1 and type 2 endometrial cancer [90]. The findings indicated that APOB is an independent risk factor exclusively for type 1 endometrial cancer [90].…”

Section: Apolipoproteins In Gynecological Cancersmentioning

confidence: 99%

“…One study investigated whether APOA and APOB could be considered as independent risk factors for lymphovascular space invasion in type 1 and type 2 endometrial cancer [90]. The findings indicated that APOB is an independent risk factor exclusively for type 1 endometrial cancer [90]. Additionally, a separate study examined APOD expression in endometrial cancer tissues and found that only 34% of the samples exhibited positive APOD expression, leading to the conclusion that there was no significant association [91].…”

Section: Apolipoproteins In Gynecological Cancersmentioning

confidence: 99%

The Role of Apolipoproteins in the Commonest Cancers: A Review

Darwish,

Al-Hail,

Mohamed

et al. 2023

Cancers

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Apolipoproteins (APOs) are vital structural components of plasma lipoproteins that are involved in lipid metabolism and transport. Recent studies have reported an association between apolipoprotein dysregulation and the onset of a variety of human cancers; however, the role of certain APOs in cancer development remains unknown. Based on recent work, we hypothesize that APOs might be involved in the onset of cancer, with a focus on the most common cancers, including breast, lung, gynecological, colorectal, thyroid, gastric, pancreatic, hepatic, and prostate cancers. This review will focus on the evidence supporting this hypothesis, the mechanisms linking APOs to the onset of cancer, and the potential clinical relevance of its various inhibitors.

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Assessing Metabolic Risk Factors for LVSI in Endometrial Cancer: A Cross-Sectional Study

Cited by 4 publications

References 41 publications

Triglyceride‐glucose index (TyG index) and endometrial carcinoma risk: A retrospective cohort study

Triglyceride‐glucose index (TyG index) and endometrial carcinoma risk: A retrospective cohort study

Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer

The Role of Apolipoproteins in the Commonest Cancers: A Review

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