ArticleBioengineered2022
Eukaryotic translation initiation factor 3 subunit B could serve as a potential prognostic predictor for breast cancer.
Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 6 citations in OpenAlex.
- Methylation marks breast cancer metastasis: The roles of mThe Journal of biological chemistry · 2026Review
- A comparative proteomic-based study identifies essential factors involved in hair follicle growth in inner Mongolia cashmere goats.BMC veterinary research · 2025Article
- eIF3b-driven autophagy and Wnt/β-catenin crosstalk: a novel regulatory axis in adriamycin resistance of breast cancer.Oncology reviews · 2025Review
- B Cell Lymphocytes as a Potential Source of Breast Carcinoma Marker Candidates.International journal of molecular sciences · 2024Article
- Comprehensive analysis of cuproptosis-related genes and tumor microenvironment infiltration characterization in breast cancer.Frontiers in immunology · 2022Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The EIF3 gene family is essential in controlling translation initiation during the cell cycle. The significance of the EIF3 subunits as prognostic markers and therapeutic targets in breast cancer is not yet clear. We analyzed the expression of EIF3 subunits in breast cancer on the GEPIA and Oncomine databases and compared their expression in breast cancer and normal tissues using BRCA data downloaded from TCGA. Then we performed clinical survival analysis on the Kaplan-Meier Plotter database and clinicopathologic analysis on the bc-genexMiner v4.1 database. And EIF3B was chosen for mutation analysis via the Cancer SEA online tool. Meanwhile, we performed the immunohistochemical assay, real-time RT-PCR, and Western blotting to analyze EIF3B expression levels in breast cancer. An EIF3B knockdown and a negative control cell line were conducted for MTT assay and cell cycle analysis to assess cell growth. Specifically, the results of TCGA and online databases demonstrated that upregulated EIF3B was associated with poorer overall and advanced tumor progression. We also confirmed that EIF3B was more highly expressed in breast cancer cells and tissues than normal and correlated with a worse outcome. And knockdown of EIF3B expression inhibited the cell cycle and proliferation. Furthermore, EIF3B was highly mutated in breast cancer. Collectively, our results suggested EIF3B as a potential prognostic marker and therapeutic target for breast cancer.
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