AI Article Synopsis

  • Advanced-stage oral squamous cell carcinoma (OSCC) patients often face treatment resistance, leading to recurrence and metastasis, making it critical to identify the genes linked to this resistance.
  • Researchers used a technique called ChIP-Seq to study active enhancers in OSCC cell lines repeatedly treated with cetuximab, identifying 64 chromosomal loci classified as active super-enhancers, which overlapped with 131 genes.
  • Among these, four specific genes showed high expression, correlating with poorer patient prognoses, suggesting that understanding gene expression can lead to better-targeted therapies for managing OSCC, potentially overcoming treatment resistance.

Article Abstract

Advanced-stage oral squamous cell carcinoma (OSCC) patients are treated with combination therapies, such as surgery, radiation, chemotherapy, and immunotherapy. However, OSCC cells acquire resistance to these treatments, resulting in local recurrence and distant metastasis. The identification of genes involved in drug resistance is essential for improving the treatment of this disease. In this study, we applied chromatin immunoprecipitation sequencing (ChIP-Seq) to profile active enhancers. For that purpose, we used OSCC cell lines that had been exposed to cetuximab for a prolonged period. In total, 64 chromosomal loci were identified as active super-enhancers (SE) according to active enhancer marker histone H3 lysine 27 acetylation (H3K27ac) ChIP-Seq. In addition, a total of 131 genes were located in SE regions, and 34 genes were upregulated in OSCC tissues by TCGA-OSCC analysis. Moreover, high expression of four genes (; = 0.035, ; = 0.020, ; = 0.0051, and ; = 0.0075) closely predicted a poorer prognosis for OSCC patients according to log-rank tests. Increased expression of the four genes (mRNA Z-score ≥ 0) frequently co-occurred in TCGA-OSCC analyses. The high and low expression groups of the four genes showed significant differences in prognosis, suggesting that there are clear differences in the pathways based on the underlying gene expression profiles. These data indicate that potential stratified therapeutic strategies could be used to overcome resistance to drugs (including cetuximab) and further improve responses in drug-sensitive patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409227PMC
http://dx.doi.org/10.3390/ijms23169154DOI Listing

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