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Novel targets and their functions in the prognosis of uterine corpus endometrial cancer patients

  • Human Genetics • Original Paper
  • Published:
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Abstract

Aberrant mRNA expression is implicated in uterine corpus endometrial carcinoma (UCEC) oncogenesis and progression. However, effective prognostic biomarkers for UCEC remain limited. We aimed to construct a reliable multi-gene risk model using gene expression profiles. Utilizing TCGA data (543 UCEC samples, 35 controls), we identified 1517 differentially acting genes. Weighted gene co-expression complex analysis (WGCCA), hub gene screening, and risk regression analysis (RRA) were employed to determine prognosis-related genes and construct the risk model. Nomograms visualized risk scores and receiver operator characteristic (ROC) curves assessed model performance. Seven novel prognosis-related hub genes (ANGPT1, ASB2, GAL, GDF7, ONECUT2, SV2B, TRPC6) were identified. The model’s concordance index (C index) by multivariate Cox regression analysis was 0.79. ROC curves yielded AUCs of 0.811 (3-year) and 0.79 (5-year), demonstrating the model’s efficacy in predicting UCEC survival. Our study proposes a promising seven-biomarker risk model for predicting UCEC prognosis, offering potential clinical utility.

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Data availability

The data used to support this study are available from the corresponding author upon request. The data could be obtained by contacting the corresponding author.

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Funding

This work was supported by grants from Beijing Natural Science Foundation (grant number 7234411), the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (NO. 3332023008), China Postdoctoral Science Foundation (2023M740320) and Beijing Hospital Fundation (BJ-2020-138).

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Author notes

  1. Xin Sui, Penghui Feng, and Jie Guo contributed equally to this work.

Authors and Affiliations

  1. Heilongjiang University of Chinese Medicine, Harbin, 150006, China

    Xin Sui

  2. Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China

    Penghui Feng & Rong Chen

  3. Harbin Medical University Daqing Campus, No. 39 Xinyang RoadHeilongjiang Province, Daqing City, China

    Jie Guo

  4. National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, 100730, China

    Xingtong Chen & Falin He

  5. Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China

    Yanmin Zhang & Feng Deng

Authors
  1. Xin Sui
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  7. Falin He
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Contributions

Falin He and Feng Deng designed the study. Xin Sui, Penghui Feng, and Jie Guo wrote the original draft. Xingtong Chen collected the raw data. Yanmin Zhang performed statistical and bioinformatics analyses. Falin He and Feng Deng supervised the study. All authors read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Rong Chen, Falin He or Feng Deng.

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Communicated by: Ewa Ziętkiewicz

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Sui, X., Feng, P., Guo, J. et al. Novel targets and their functions in the prognosis of uterine corpus endometrial cancer patients. J Appl Genetics (2024). https://doi.org/10.1007/s13353-024-00856-1

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  • DOI: https://doi.org/10.1007/s13353-024-00856-1

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