4.4 Article

Pyroptosis-related gene-based prognostic signature for predicting the overall survival of oral squamous cell carcinoma patients

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FRONTIERS IN SURGERY
卷 9, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fsurg.2022.903271

关键词

oral squamous cell carcinoma; pyroptosis; immune infiltration; overall survival; prognostic signature

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资金

  1. National Natural Science Foundation of China
  2. Natural Science Foundation of Shanghai Science and Technology Commission
  3. Shanghai Rising-Star Program
  4. Innovative Research Team of High-level Local Universities in Shanghai, Oral and Maxillofacial Regeneration and Functional Restoration
  5. [31971273]
  6. [21ZR1437100]
  7. [21QA1405400]

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This study explored and identified potential biomarkers for cell pyroptosis in oral squamous cell carcinoma (OSCC) and constructed a pyroptosis-related prognostic signature. The results showed that the prognostic signature may have a potential role in predicting the prognosis of OSCC, and pyroptosis-related regulators could be novel biomarkers for tumor diagnosis and treatment in OSCC.
Purpose: Oral squamous cell carcinoma (OSCC) is the most common oral cancer worldwide. Pyroptosis is a type of programmed cell death mediated by caspase, accompanied by an inflammatory response, and plays an important role in cancer progression. The purpose of this study was to explore and identify potential biomarkers and further elucidate the potential role of cell pyroptosis in OSCC. Methods: We regarded the samples from The Cancer Genome Atlas database as a training dataset, screened differentially expressed genes (DEGs), and further screened out OSCC phenotypic characteristic genes by using weighted gene co-expression network analysis. The analysis of 42 known pyroptosis-related genes showed that Psuch genes were widely expressed, mutated, and methylated in OSCC samples. Results: Through correlation analysis, we identified our OSCC pyroptosis-related DEGs. To further evaluate the prognostic value of pyroptosis-related regulators, we constructed a seven gene-based prognostic signature using Cox univariate analysis and least absolute shrinkage and selection operator Cox regression analysis. Meanwhile, we found that patients in the low-risk group had higher immune infiltration. Moreover, our results also indicated significant differences in sensitivity to cisplatin and gefitinib between the high-risk and low-risk groups. Conclusion: Our study successfully constructed the pyroptosis-related prognostic signature, which might play a potential prediction role in OSCC prognosis. Our findings also suggested that pyroptosis-related regulators might be novel biomarkers for tumor diagnosis and treatment in OSCC.

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