Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Sep 9;21(12):2379-2389.
doi: 10.7150/ijms.96179. eCollection 2024.

A metabolic-inflammatory-nutritional score (MINS) is associated with lymph node metastasis and prognostic stratification for endometrial cancer patients

Xite Lin  1   2   3 , Tianai Chen  1   2   3 , Liang Wang  1   2   3   4 , Yuan Ren  1   2   3 , Wenyu Lin  1   2   3 , Xiaodan Mao  1   2   3 , Pengming Sun  1   2   3   4
Affiliations

A metabolic-inflammatory-nutritional score (MINS) is associated with lymph node metastasis and prognostic stratification for endometrial cancer patients

Xite Lin et al. Int J Med Sci. .

Abstract

Objective: This study aims to propose a personalized cancer prediction model based on the metabolic-inflammatory-nutritional score (MINS) for predicting lymph node metastasis (LNM) in endometrial cancer (EC) and validated prediction of survival probability in patients with a family history of Lynch syndrome-associated cancers (LSAC). Methods: A total of 676 patients diagnosed with EC were enrolled in this study. We calculated the optimal cutoff value using restricted cubic splines (RCS) analysis or the mean value. Our feature selection process for constructing the MINS involved using the LASSO regression model. MINS were evaluated for LNM using logistic regression analysis. To assess the prognostic value of the MINS, we generated survival curves using the Kaplan-Meier method with a log-rank test. Furthermore, we constructed a nomogram to validate the prognostic significance of the MINS. The predictive accuracy of nomogram was evaluated using the concordance index (C-index) and calibration plot. Results: LNM risk was associated with family history of LSAC and MINS group (all adjusted p<0.05). Patients in the high-risk MINS group or patients with a family history of LSAC exhibited poorer overall survival (p=0.038, p=0.001, respectively). Additionally, a nomogram was demonstrated effective predictive performance with a C-index of 0.778 (95% CI: 0.725-0.832). Conclusion: Preoperative MINS has been determined to be associated with the risk of LNM in EC patients. Utilizing MINS as a basis, the development of a prognostic nomogram holds promise as an effective tool for risk stratification in clinical settings among EC patients with a family history of LSAC.

Keywords: Endometrial cancer; Inflammation; Lymph node metastasis; Metabolism; Nutrition.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interest exists.

Figures

Figure 1
Figure 1
The process diagram of MINS construction and risk stratification.
Figure 2
Figure 2
Restricted cubic spline (RCS) of 5 metabolic-inflammatory-nutritional biomarkers for predicting LNM.
Figure 3
Figure 3
Survival curves via Kaplan-Meier analysis. (A) Survival curves of TyG. (B)Survival curves of TG/HDL-C. (C) Survival curves of LMR. (D) Survival curves of SII. (E) Survival curves of NRI. (F) Survival curves of EC patients with/without a family history of LSAC. (G) Survival curves of MINS groups. (H) Survival curves of MINS groups among EC patients with a family history of LSAC.
Figure 4
Figure 4
A novel prognostic nomogram based on MINS for EC patients with a family history of LSAC. (A) The nomogram for predicting 1-, 3- and 5-year survival probability in EC patients. (B) Calibration plots of the nomogram for 1-year, 3-year and 5-year.
See this image and copyright information in PMC

Similar articles

See all similar articles

References

    1. Crosbie EJ, Kitson SJ, McAlpine JN, Mukhopadhyay A, Powell ME, Singh N. Endometrial cancer. Lancet. 2022;399:1412–28. - PubMed
    1. Lortet-Tieulent J, Ferlay J, Bray F, Jemal A. International Patterns and Trends in Endometrial Cancer Incidence, 1978-2013. J Natl Cancer Inst. 2018;110:354–61. - PubMed
    1. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73:17–48. - PubMed
    1. Bakkum-Gamez JN, Gonzalez-Bosquet J, Laack NN, Mariani A, Dowdy SC. Current issues in the management of endometrial cancer. Mayo Clin Proc. 2008;83:97–112. - PubMed
    1. Buldukoglu OC, Turker A, Usubutun A, Salman MC. Relationship of lymph node status with survival and recurrence among women with endometrial cancer. Int J Gynaecol Obstet. 2020;151:267–71. - PubMed

LinkOut - more resources