A Prognostic Risk Signature of Two Autophagy-Related Genes for Predicting Triple-Negative Breast Cancer Outcomes

被引:1
作者
Yu, Bing [1 ]
Xing, Zhimei [2 ]
Tian, Xiaoxuan [2 ]
Feng, Rui [1 ]
机构
[1] Tianjin Cent Hosp Obstet & Gynecol, Dept Breast Surg, 156 Nankai SAN Rd, Tianjin 300100, Peoples R China
[2] Tianjin Univ Tradit Chinese Med, State Key Lab Component Based Chinese Med, Tianjin 300193, Peoples R China
来源
BREAST CANCER-TARGETS AND THERAPY | 2024年 / 16卷
关键词
autophagy; nomogram; prognosis; risk signature; triple-negative breast cancer; THERAPY;
D O I
10.2147/BCTT.S475007
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Triple-negative breast cancer (TNBC) is recognized as the most aggressive molecular subtype of breast cancer. Recent studies have highlighted the complex role of autophagy in the pathogenesis of TNBC. Methods: In this study, we evaluated 18,330 genes, including 1111 autophagy-related genes, (ARGs), across 579 TNBC samples from online databases. Differentially expressed ARGs in TNBC were identified using high-throughput RNA-seq data from the Cancer Genome Atlas (TCGA). Prognostic factors were examined through Cox regression and multivariate Cox analyses, with predictive efficacy assessed using receiver operating characteristic (ROC) curves. A nomogram integrating the risk signature with clinicopathological factors, such as TNM stage, was developed. Immunohistochemical analysis of clinical samples was also conducted. Results: EIF4EBP1 and NPAS3 were significantly correlated with prognostic outcomes in patients with TNBC. Multivariate Cox regression analysis demonstrated that the expression levels of these two genes were accurate predictors of disease progression in TNBC samples from TCGA and the GSE31519 dataset. The efficacy of this predictive model was validated using ROC curve analysis and calibration plots, confirming its ability to accurately estimate the 1-, 2-, and 3-year survival rates for individuals with TNBC. Additionally, EIF4EBP1 and NPAS3 expression influenced drug sensitivity in TNBC cell lines, with notably lower NPAS3 expression in TNBC tissues, particularly in Stage III cases. This study is the first to report NPAS3 expression in patients with TNBC. Conclusion: The autophagy-related genes EIF4EBP1 and NPAS3 may serve as independent prognostic factors for individuals with TNBC.
引用
收藏
页码:529 / 544
页数:16
相关论文
共 26 条
  • [1] New Insight into Triple-Negative Breast Cancer Therapy: The Potential Roles of Endoplasmic Reticulum Stress and Autophagy Mechanisms
    Ashrafizadeh, Milad
    Mohammadinejad, Reza
    Tavakol, Shima
    Ahmadi, Zahra
    Sahebkar, Amirhossein
    [J]. ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY, 2021, 21 (06) : 679 - 691
  • [2] Emerging Therapeutic Drugs in Metastatic Triple-Negative Breast Cancer
    Cipriano, Elia
    Mesquita, Alexandra
    [J]. BREAST CANCER-BASIC AND CLINICAL RESEARCH, 2021, 15
  • [3] Germline BRCA mutation and outcome in young-onset breast cancer (POSH): a prospective cohort study
    Copson, Ellen R.
    Maishman, Tom C.
    Tapper, Will J.
    Cutress, Ramsey I.
    Greville-Heygate, Stephanie
    Altman, Douglas G.
    Eccles, Bryony
    Gerty, Sue
    Durcan, Lorraine T.
    Jones, Louise
    Evans, D. Gareth
    Thompson, Alastair M.
    Pharoah, Paul
    Easton, Douglas F.
    Dunning, Alison M.
    Hanby, Andrew
    Lakhani, Sunil
    Eeles, Ros
    Gilbert, Fiona J.
    Hamed, Hisham
    Hodgson, Shirley
    Simmonds, Peter
    Stanton, Louise
    Ecclest, Diana M.
    [J]. LANCET ONCOLOGY, 2018, 19 (02) : 169 - 180
  • [4] The Molecular and Microenvironmental Landscape of Glioblastomas: Implications for the Novel Treatment Choices
    Di Cintio, Federica
    Dal Bo, Michele
    Baboci, Lorena
    De Mattia, Elena
    Polano, Maurizio
    Toffoli, Giuseppe
    [J]. FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [5] Establishment and validation of a novel autophagy-related gene signature for patients with breast cancer
    Du, Jun-Xian
    Chen, Cong
    Luo, Yi-Hong
    Cai, Jia-Liang
    Cai, Cheng-Zhe
    Xu, Jing
    Ni, Xiao-Jian
    Zhu, Wei
    [J]. GENE, 2020, 762
  • [6] DNA methylation marker to estimate ovarian cancer cell fraction
    Ebata, Takahiro
    Yamashita, Satoshi
    Takeshima, Hideyuki
    Yoshida, Hiroshi
    Kawata, Yoshiko
    Kino, Nao
    Yasugi, Toshiharu
    Terao, Yasuhisa
    Yonemori, Kan
    Kato, Tomoyasu
    Ushijima, Toshikazu
    [J]. MEDICAL ONCOLOGY, 2022, 39 (05)
  • [7] Subtype-specific risk models for accurately predicting the prognosis of breast cancer using differentially expressed autophagy-related genes
    Han, Baoai
    Zhang, He
    Zhu, Yuying
    Han, Xingxing
    Wang, Zhiyong
    Gao, Zicong
    Yuan, Yue
    Tian, Ruinan
    Zhang, Fei
    Niu, Ruifang
    [J]. AGING-US, 2020, 12 (13): : 13318 - 13337
  • [8] Predictors of Chemosensitivity in Triple Negative Breast Cancer: An Integrated Genomic Analysis
    Jiang, Tingting
    Shi, Weiwei
    Wali, Vikram B.
    Pongor, Lorinc S.
    Li, Charles
    Lau, Rosanna
    Gyorffy, Balazs
    Lifton, Richard P.
    Symmans, William F.
    Pusztai, Lajos
    Hatzis, Christos
    [J]. PLOS MEDICINE, 2016, 13 (12):
  • [9] Comprehensive analysis of autophagy-related prognostic genes in breast cancer
    Lai, Jianguo
    Chen, Bo
    Mok, Hsiaopei
    Zhang, Guochun
    Ren, Chongyang
    Liao, Ning
    [J]. JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2020, 24 (16) : 9145 - 9153
  • [10] Triple-Negative Breast Cancer: Current Understanding and Future Therapeutic Breakthrough Targeting Cancer Stemness
    Lee, Kha-Liang
    Kuo, Yung-Che
    Ho, Yuan-Soon
    Huang, Yen-Hua
    [J]. CANCERS, 2019, 11 (09)