RETRACTED ARTICLE: Molecular subtypes based on PANoptosis-related genes and tumor microenvironment infiltration characteristics in lower-grade glioma

被引:0
作者
Aimitaji Abulaiti
Aierpati Maimaiti
Nadire Yiming
Qiang Fu
Shaoshan Li
Yabin Li
Yongxin Wang
Qingjiu Zhou
机构
[1] the First Affiliated Hospital of Xinjiang Medical University,Department of Neurosurgery, Neurosurgery Centre
[2] Xinjiang Medical University,undefined
来源
Functional & Integrative Genomics | 2023年 / 23卷
关键词
PANoptosis; Lower-grade glioma; Prognosis; Tumor microenvironment; Biomarker; Aimitaji Abulaiti and Aierpati Maimaiti contributed equally to this work.;
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摘要
The growth of cancer, the effectiveness of treatment, and prognosis are all closely related to PANoptosis (include pyroptosis, apoptosis, and necroptosis). It remains unclear whether PANoptosis genes (PANGs) may contribute to lower-grade glioma (LGG) tumor microenvironment (TME). In this study, we collected 1203 LGG samples from three public databases and reported that PANoptosis involves TME interaction and prognosis. Firstly, we provided a comprehensive review of the pan-cancer landscape of PANGs in terms of expression characteristics, prognostic value, mutational profile, and pathway regulation. Then, we identified two distinct PANclusters, each with its own molecular, clinical, and immunological profile. We then developed a scoring system for LGG patients called PANscore. As well as investigating immune characteristics, tumor mutational characteristics, and drug sensitivity, we examined the differences between groups with high PANscores and those with low PANscores. Based on this PANscore and clinicopathological variables, an instant nomogram for predicting clinical survival in LGG patients was developed. Our thorough examination of PANGs in LGG revealed their probable function in TME, as well as their clinicopathological characteristics and prognosis. These discoveries could deepen our comprehension of PANGs in LGG and provide doctors fresh perspectives on how to forecast prognosis and create more efficient, individualized treatment plans.
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