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DOI 10.2174/0115680096250376231025062652

Медицинская библиотека · Current cancer drug targets · 2024

Identification of ATM Mutation as a Potential Prognostic Biomarker for Immune Checkpoint Inhibitors Therapy.

Cui Saijin, Chen Tianyu, Zhao Yaning, Xiao Zhuoyun, Liu Meitong, Huang Xi, Cao Shiru, Zhou Rongmiao, Li You, Huo Xiangran, Wang Na

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Ataxia telangiectasia mutated (ATM), an apical DNA damage response gene, is a commonly mutated gene in tumors, and its mutation could strengthen tumor immunogenicity and alter the expression of PD-L1, which potentially contributes to immune checkpoint inhibitors (ICIs) therapy.

METHODS

The characteristics of ATM mutation and its relationship with the ICIs-treated clinical prognosis have been analyzed comprehensively in this paper. The overall frequency of ATM mutations has been found to be 4% (554/10953) in the cancer genome atlas (TCGA) cohort.

RESULTS

Both the TMB and MSI levels in patients with ATM mutations were significantly higher than those in patients without mutations (P < 0.0001). The median TMB was positively correlated with the frequency of ATM mutations (r = 0.54, P = 0.003). In the TCGA cohort, patients with ATM mutations had better clinical benefits in terms of overall survival (OS, hazard ratio (HR) = 0.736, 95% CI = 0.623 - 0.869), progression-free survival (PFS, HR = 0.761, 95% CI = 0.652 - 0.889), and disease-free survival (DFS, HR = 0.686, 95% CI = 0.512 - 0.919)] than patients without ATM mutations. Subsequently, the verification results showed ATM mutations to be significantly correlated with longer OS in ICIs-treated patients (HR = 0.710, 95% CI = 0.544 - 0.928). Further exploration indicated ATM mutation to be significantly associated with regulated anti-tumor immunity (P < 0.05).

CONCLUSION

Our findings highlight the value of ATM mutation as a promising biomarker to predict ICIs therapy in multiple tumors.

Для цитирования: Cui Saijin, Chen Tianyu, Zhao Yaning, Xiao Zhuoyun, Liu Meitong, Huang Xi, Cao Shiru, Zhou Rongmiao, Li You, Huo Xiangran, Wang Na. Identification of ATM Mutation as a Potential Prognostic Biomarker for Immune Checkpoint Inhibitors Therapy.. Current cancer drug targets. 2024. DOI: 10.2174/0115680096250376231025062652.

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