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MMP11 and MMP17 are potential biomarkers for uterine corpus endometrial carcinoma prognosis

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Abstract

Background

Matrix metalloproteinases (MMP) are important proteases that degrade the extracellular matrix (ECM) and thus essentially mediate tumor vascularization, metastasis, and invasion. However, their potential roles in uterine corpus endometrial carcinoma (UCEC) are not fully understood.

Patients and methods

The expression, prognostic value, and correlation of UCEC patients with MMP were investigated using data from The Cancer Genome Atlas (TCGA) and other databases. Furthermore, differentially expressed genes (DEGs) were identified and their biological functions and correlations with infiltrating immune cells were analyzed.

Results

A total of 22 MMPs were found to be abnormally expressed in UCEC tumor tissues, and high expression of MMP11 and MMP17 were associated with a better UCEC prognosis. MMP11 and MMP17 were observed to be significantly enriched in tumor tissue ECM and were associated with pathways involving degradation, glycolytic metabolism, and PI3K-Akt signaling. Infiltration of natural killer (NK), mast, and NK CD56bright cells was enhanced in tumor tissues with high MMP11 and MMP17 expression.

Conclusion

MMP11 and MMP17 may affect UCEC prognosis by influencing immune cell infiltration and may be potential UCEC biomarkers.

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Data availability

Data in this study was obtained from TCGA public database and the acquisition and application method complied with corresponding database guidelines and policies.

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Authors and Affiliations

  1. Shandong Province Maternal and Child Health Care Hospital Affiliated to Qingdao University, No. 238, Jingshi East Road, Jinan City, Shandong Province, China

    Yanhui Zhang, Jing Wang, Yuqin Fan, Fangfang Lang, Fengping Fu & Qunying Liu

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  1. Yanhui Zhang
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  2. Jing Wang
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  3. Yuqin Fan
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  4. Fangfang Lang
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  5. Fengping Fu
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Contributions

Yanhui Zhang participated in the design of this study, and written this papers. Jing Wang and Yuqin Fan participated in the design of this study, and they both performed the statistical analysis. Fangfang Lang and Fengping Fu carried out the study and collected data. Qunying Liu contributed to the study conception and design. Yanhui Zhang and Jing Wang share first authorship.

Corresponding author

Correspondence to Qunying Liu.

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Yanhui Zhang and Jing Wang are co-first authors.

Supplementary Information

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12094_2023_3284_MOESM1_ESM.tif

Supplementary Material Figure 1. ROC curves assessing the efficiency of MMPs expression for distinguishing UCEC tumor tissues from non-tumor tissues validated in the GEO datasets. (A) ROC curves analyses in GSE115810; (B) ROC curves analyses in GSE36389. (TIF 10953 KB)

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Zhang, Y., Wang, J., Fan, Y. et al. MMP11 and MMP17 are potential biomarkers for uterine corpus endometrial carcinoma prognosis. Clin Transl Oncol 26, 653–663 (2024). https://doi.org/10.1007/s12094-023-03284-5

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  • DOI: https://doi.org/10.1007/s12094-023-03284-5

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