AI Article Synopsis

  • Triple-negative breast cancer (TNBC) is a tough type of breast cancer that doesn't have good ways to predict its behavior, so this study looks at two proteins called EZH1 and EZH2 to figure out how they work in TNBC.
  • The researchers used various tests and comparisons to see how EZH1 and EZH2 were expressed in TNBC tissues, and they also analyzed how these proteins might affect the cancer's growth and spread.
  • Results showed that EZH1 was lower in TNBC, while EZH2 was higher, which linked to certain genes involved in cell cycles and hormone responses, helping create a model to predict patient outcomes based on specific gene signatures.

Article Abstract

Background: Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer and lacks effective biomarkers. This study seeks to unravel the expression status and the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC tissue samples. Moreover, another objective of this study is to reveal the prognostic molecular signatures for risk stratification in TNBC patients.

Methods: To determine the expression status of EZH1/EZH2 in TNBC tissue samples, microarray analysis and immunohistochemistry were performed on in house breast cancer tissue samples. External mRNA expression matrices were used to verify its expression patterns. Furthermore, the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC were explored by performing differential expression analysis, co-expression analysis, and chromatin immunoprecipitation sequencing analysis. Kaplan-Meier survival analysis and univariate Cox regression analysis were utilized to detect the prognostic molecular signatures in TNBC patients. Nomogram and time-dependent receiver operating characteristic curves were plotted to predict the risk stratification ability of the prognostic-signatures-based Cox model.

Results: In-house TMAs (66 TNBC . 106 non-TNBC) and external gene microarrays, as well as RNA-seq datasets (1,135 TNBC . 6,198 non-TNBC) results, confirmed the downregulation of EZH1 at both the protein and mRNA levels (SMD = -0.59 [-0.80, -0.37]), as is opposite to that of EZH2 (SMD = 0.74 [0.40, 1.08]). The upregulated transcriptional target genes of EZH1 were significantly aggregated in the cell cycle pathway, where , , , and were determined as key transcriptional targets. Additionally, the downregulated transcriptional targets of EZH2 were enriched in response to the hormone, where ESR1 was identified as the hub gene. The six-signature-based prognostic model produced an impressive performance in this study, with a training AUC of 0.753, 0.981, and 0.977 at 3-, 5-, and 10-year survival probability, respectively.

Conclusion: EZH1 downregulation may be a key modulator in the progression of TNBC through negative transcriptional regulation by targeting , , , and .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285492PMC
http://dx.doi.org/10.7717/peerj.13708DOI Listing

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