Affiliation:
1. Tianjin Medical University Cancer Institute and Hospital: Tianjin Tumor Hospital
2. Nankai University
3. Hangzhou Normal University
Abstract
Abstract
Background
Because of the complexity and heterogeneity, therapeutic effect of breast cancer varies in each subtype, which is classified based on the molecular markers for estrogen or progesterone receptors and human epidermal growth factor 2. Thus, novel comprehensive and precise molecular indicators in breast carcinogenesis are urgently in need.
Methods
The expression of ZNF133 in breast cancer tissues was detected by immunohistochemical staining. The interaction between KAP1 complex and ZNF133 was identified by affinity purification-coupled mass spectrometry. The regulatory mechanisms were validated by luciferase reporter assay and co-immunoprepitation. The target genes of ZNF133 was determinged by chromatin immunoprecipitation-based deep sequencing. Gain-or-loss-of-function assays were used to identify the function and underlying mechanisms of ZNF133 in breast cancer. Cancer cell proliferation, invasion, and tumorigenesis of breast cancer cells were analyzed using cell counting assays, colony formation, transwell, and xenograft tumor models.
Results
Here we report that ZNF133, a zinc-finger protein, is negatively associated with advanced pathological staging and poor survival of breast carcinomas. Moreover, ZNF133 is a transcription repressor, physically associated with the KAP1 complex and transcriptionally represses a cohort of genes including L1CAM that are critically involved in cell proliferation and motility. We demonstrate that the ZNF133/KAP1 complex inhibits the proliferation and invasion of breast cancer cells in vitro and suppresses breast cancer growth and metastasis in vivo through dampening the transcription of L1CAM.
Conclusion
Our study ascertains the value of ZNF133 and L1CAM level in the diagnosis and prognosis of breast cancer, contributes to the deeper understanding of the regulation mechanism of ZNF133 for the first time, and provides a new therapeutic strategy and precise intervention target for breast cancer.
Publisher
Research Square Platform LLC
Reference37 articles.
1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics. 2021. CA: a cancer journal for clinicians. 2021;71:7–33.
2. Breast Cancer Treatment: A Review;Waks AG;JAMA,2019
3. Molecular Classification of Breast Cancer;Tsang JYS;Adv Anat Pathol,2020
4. Metastatic heterogeneity of breast cancer: Molecular mechanism and potential therapeutic targets;Liang Y;Sem Cancer Biol,2020
5. Breast cancer;Loibl S;Lancet,2021
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