Exploring the Potential of Pyroptosis-Related Genes in Predicting Prognosis and Immunological Characteristics of Pancreatic Cancer From the Perspective of Genome and Transcriptome.
Exploring the Potential of Pyroptosis-Related Genes in Predicting Prognosis and Immunological Characteristics of Pancreatic Cancer From the Perspective of Genome and Transcriptome.
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DOI：
10.3389/fonc.2022.932786
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发表时间：
2022
影响因子：
4.7
通讯作者：
Zhou, Guoxiong
中科院分区：
文献类型：
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作者：
Zhang, Jing;You, Xiaomin;Kang, Dong;Zhou, Guoxiong
探讨胰腺癌组织中凋亡相关基因的表达。在此，我们进行了全面的生物信息学分析，以评估肿瘤免疫浸润和肿瘤突变负荷，PRG之间的相关性，以及微卫星不稳定性，并发现33个PRG在PC中上调或下调。然后我们构建了PPI网络，该网络是从STRING数据库下载的。使用TCGA队列中位风险评分，来自基因表达复合队列（GEO）数据资源的PC受试者被分层为两个风险类别，其中低PC风险组的总生存期（OS）较高（P = 0.011）。我们采用ssGSEA方法来量化由风险特征分离的单独风险组中的免疫细胞丰度，同时评估免疫细胞侵袭的变化。从癌症药物敏感性基因组学（GDSC）数据资源中检索化疗药物。通过LASSO考克斯回归建立了8个预后PRG模型（CASP 4、GSDMC、IL-18、NLRP 1、NLRP 2、PLCG 1、TIRAP和TNF），以估计PC受试者的OS，具有中等至高的准确度。我们的研究首次发现了一个与癫痫相关的PC预后基因特征，为PC的预后预测提供了更多的选择。
To probe into the role of pyroptosis-related genes in pancreatic carcinoma. Herein, we conducted a comprehensive bioinformatics analysis to evaluate tumor-immune infiltration and tumor mutation burden, the correlations between PRGs, and microsatellite instability and found that 33 PRGS were up- or down-regulated in PC. Then we built the PPI network, which was downloaded from the STRING database. Using TCGA cohort median risk score, PC subjects from the Gene Expression Composite cohort (GEO) data resource were stratified into two risk categories, with the low-PC risk group harboring a higher overall survival (OS) (P = 0.011). We employed the ssGSEA approach to quantify immune cell abundance in separate risk groups separated by risk signature while assessing variations in immune cell invasion. Chemotherapeutic drugs were retrieved from the Genomics of Drug Sensitivity in Cancer (GDSC) data resource. Eight prognostic PRG models (CASP4, GSDMC, IL-18, NLRP1, NLRP2, PLCG1, TIRAP, and TNF) were established via LASSO Cox regression to estimate the OS of PC subjects with medium-to-high accuracy. Our study is the first to identify a pyroptotic-related prognostic gene feature for PC, providing more options for the prognostic prediction of PC.
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影响因子：
254.7
作者：
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者：
Thun, Michael J.
影响因子：
7
作者：
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者：
Hubbard TJ
影响因子：
7.3
作者：
Feng S;Xia T;Ge Y;Zhang K;Ji X;Luo S;Shen Y
通讯作者：
Shen Y
影响因子：
29.4
作者：
Liu M;Zhang Y;Yang J;Cui X;Zhou Z;Zhan H;Ding K;Tian X;Yang Z;Fung KA;Edil BH;Postier RG;Bronze MS;Fernandez-Zapico ME;Stemmler MP;Brabletz T;Li YP;Houchen CW;Li M
通讯作者：
Li M
胰腺癌的联合治疗：基于抗 PD-(L)1 的策略
DOI：
10.1186/s13046-022-02273-w
发表时间：
2022-02-09
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Liu L;Huang X;Shi F;Song J;Guo C;Yang J;Liang T;Bai X
通讯作者：
Bai X