Xin HeYongfang JiangXingbao YuFei HeH. Gao
<b><i>Introduction:</i></b> The aim of the study was to construct a pyroptosis-related risk score (RS) model for the prognosis of acute myeloid leukemia (AML). <b><i>Methods:</i></b> The TARGET (training) and E-MTAB-1216 (validation) datasets were downloaded. Pyroptosis-related genes with differences in expression were identified between the recurrent and nonrecurrent samples of the training dataset. An RS prognostic model comprising seven pyroptosis-related genes was constructed using LASSO regression coefficients. The samples were classified into the high- and low-risk groups using the RS model; the differentially expressed genes (DEGs) between these groups were identified, followed by DEG functional analysis and the immunological evaluation of these groups. <b><i>Results:</i></b> Forty-nine pyroptosis-related genes, including 22 DEGs, were screened. <i>WT1</i>, <i>NPM</i>, <i>FLT3/ITD</i>, and <i>CEBPA</i> mutations were found in most pediatric AML samples. An RS prognostic model was constructed using 7 pyroptosis-related genes. The two risk groups and prognostic data were significantly related. <i>FLT3/ITD</i> mutations, <i>CEBPA</i> mutations, and RS model status were identified as independent prognostic factors, using the clinical information. The DEGs between the two groups were correlated with immune-related pathways. Moreover, the immune cell distribution and the occurrence of immune-related pathways were notably decreased in the high-risk group. <b><i>Discussion/Conclusion:</i></b> Seven pyroptosis-related genes, <i>CHMP2A</i>, <i>PRKACA</i>, <i>CASP9</i>, <i>IRF2</i>, <i>CHMP3</i>, <i>HMGB1</i>, and <i>AIM2</i>, can predict the prognosis and recurrence of childhood AML.
Shilpi ChaudharyShuvadeep GangulyJayanth Kumar PalanichamyArchna SinghDibyabhaba PradhanRadhika BakhshiAnita ChopraSameer Bakhshi
Shilpi ChaudharyShuvadeep GangulyJayanth Kumar PalanichamyArchna SinghDibyabhaba PradhanRadhika BakhshiAnita ChopraSameer Bakhshi
Shilpi ChaudharyShuvadeep GangulyJayanth Kumar PalanichamyArchna SinghDibyabhaba PradhanRadhika BakhshiAnita ChopraSameer Bakhshi
Kecheng HuangLinka XieFan Wang
Tao ZhouKai QianYun-Yun LiWen-Ke CaiSun‐Jun YinPing WangGong‐Hao He