ArticleScientific reports2020
Bioinformatic analysis of the expression and prognostic value of chromobox family proteins in human breast cancer.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 54 citations in OpenAlex.
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- Identification of breast cancer susceptibility genes via trans-ethnic Mendelian randomization and colocalization analyses.Medicine · 2025Article
- Targeting GSK3β and signaling pathways in breast cancer: role of individual members of miR- 23/24/27 cluster.BMC cancer · 2025Article
- Unravelling the impact of the chromobox proteins in human cancers.Cell death & disease · 2025Review
- Epigenetic regulatory protein chromobox family regulates multiple signalling pathways and mechanisms in cancer.Clinical epigenetics · 2025Review
- Integrated bioinformatics investigation and experimental validation reveals the clinical and biological significance of chromobox family in breast cancer.Scientific reports · 2025Article
- Exploring Prognostic Gene Factors in Breast Cancer via Machine Learning.Biochemical genetics · 2024Article
- Subcellular expression pattern and clinical significance of CBX2 and CBX7 in breast cancer subtypes.Medical molecular morphology · 2024Article
- Unveiling promising breast cancer biomarkers: an integrative approach combining bioinformatics analysis and experimental verification.BMC cancer · 2024Article
- Phosphorylation of USP27X by GSK3β maintains the stability and oncogenic functions of CBX2.Cell death & disease · 2023Article
- Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers.Medical sciences (Basel, Switzerland) · 2023Article
- Chromobox proteins in cancer: Multifaceted functions and strategies for modulation (Review).International journal of oncology · 2023Review
- Bladder cancer course, four genetic high-risk variants, and histopathological findings.EXCLI journal · 2023Article
- Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance.Genetics and molecular biology · 2023Article
- Mining Transcriptomic Data to Uncover the Association between CBX Family Members and Cancer Stemness.International journal of molecular sciences · 2022Article
- Systematic investigation of the clinical significance and prognostic value of the CBXs in esophageal cancer.Medicine · 2022Article
- Article
- Comprehensive pan-cancer analysis on CBX3 as a prognostic and immunological biomarker.BMC medical genomics · 2022Article
- Identification and Validation of Chromobox Family Members as Potential Prognostic Biomarkers and Therapeutic Targets for Human Esophageal Cancer.Frontiers in genetics · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chromobox (CBX) family proteins control chromatin structure and gene expression. However, the functions of CBXs in cancer progression, especially breast cancer, are inadequately studied. We assessed the significance of eight CBX proteins in breast cancer. We performed immunohistochemistry and bioinformatic analysis of data from Oncomine, GEPIA Dataset, bcGenExMiner, Kaplan-Meier Plotter, and cBioPortal. We compared mRNA and protein expression levels of eight CBX proteins between breast tumor and normal tissue. The expression difference of CBX7 was the greatest, and CBX7 was downregulated in breast cancer tissues compared with normal breast tissues. The expression of CBX2 was strongly associated with tumor stage. We further analyzed the association between the eight CBX proteins and the following clinicopathological features: menopause age, estrogen receptor (ER), progesterone receptor (PR) and HER-2 receptor status, nodal status, P53 status, triple-negative status, and the Scarff-Bloom-Richardson grade (SBR) and Nottingham prognostic index (NPI). Survival analysis in the Kaplan-Meier Plotter database showed that the eight CBX proteins were significantly associated with prognosis. Moreover, CBX genes in breast cancer patients had a high net alteration frequency of 57%. There were significant co-expression correlations between the following CBX protein pairs: CBX4 positively with CBX8, CBX6 positively with CBX7, and CBX2 negatively with CBX7. We also analyzed the Gene Ontology enrichment of the CBX proteins, including biological processes, cellular components, and molecular functions. CBX 1/2/3/5/8 may be oncogenes for breast cancer, whereas CBX 6 and 7 may be tumor suppressors for breast cancer. All eight CBX proteins may be predictive for prognosis. Clinical trials are needed to confirm the significance of the eight CBX proteins in breast cancer.
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