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TP53相关特征可预测食管癌患者的免疫细胞浸润、治疗反应及预后。

The TP53-Related Signature Predicts Immune Cell Infiltration, Therapeutic Response, and Prognosis in Patients With Esophageal Carcinoma.

作者信息

Zhang Hongpan, Huang Zheng, Song Yangguang, Yang Zhihao, Shi Qi, Wang Kaige, Zhang Zhiyu, Liu Zheng, Cui Xiaobin, Li Feng

机构信息

Department of Pathology and Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Department of Pathology, Shihezi University School of Medicine, Shihezi, China.

出版信息

Front Genet. 2021 Jun 16;12:607238. doi: 10.3389/fgene.2021.607238. eCollection 2021.

Abstract

TP53 mutation (TP53) is one of the most common gene mutations and frequently occurs in many cancers, especially esophageal carcinoma (ESCA), and it correlates with clinical prognostic outcomes. Nevertheless, the mechanisms by which TP53 regulates the correlation between ESCA and prognosis have not been sufficiently studied. Here, in the current research, we constructed a TP53-related signature to predict the prognosis of patients with esophageal cancer and successfully verified this model in patients in the TP53 mutant group, esophageal squamous cell carcinoma group, and adenocarcinoma group. The risk scores proved to be better independent prognostic factors than clinical features, and prognostic features were combined with other clinical features to establish a convincing nomogram to predict overall survival from 1 to 3 years. In addition, we further predicted the tumor immune cell infiltration, chemical drugs, and immunotherapy responses between the high-risk group and low risk group. Finally, the gene expression of the seven-gene signature (AP002478.1, BHLHA15, FFAR2, IGFBP1, KCTD8, PHYHD1, and SLC26A9) can provide personalized prognosis prediction and insights into new treatments.

摘要

TP53突变(TP53)是最常见的基因突变之一,在许多癌症中频繁发生,尤其是食管癌(ESCA),并且它与临床预后结果相关。然而,TP53调节ESCA与预后之间相关性的机制尚未得到充分研究。在此,在当前研究中,我们构建了一个与TP53相关的特征来预测食管癌患者的预后,并在TP53突变组、食管鳞状细胞癌组和腺癌组的患者中成功验证了该模型。风险评分被证明是比临床特征更好的独立预后因素,并且将预后特征与其他临床特征相结合,建立了一个令人信服的列线图来预测1至3年的总生存期。此外,我们进一步预测了高危组和低危组之间的肿瘤免疫细胞浸润、化学药物和免疫治疗反应。最后,七基因特征(AP002478.1、BHLHA15、FFAR2、IGFBP1、KCTD8、PHYHD1和SLC26A9)的基因表达可以提供个性化的预后预测,并为新的治疗方法提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e03a/8256894/ed13ca78aa0a/fgene-12-607238-g001.jpg

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