Identification of an Immune-Related Gene Signature to Improve Prognosis Prediction in Colorectal Cancer Patients.
Identification of an Immune-Related Gene Signature to Improve Prognosis Prediction in Colorectal Cancer Patients.
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鉴定免疫相关基因签名以改善结直肠癌患者的预后预测。
DOI：
10.3389/fgene.2020.607009
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发表时间：
2020
影响因子：
3.7
通讯作者：
Ding K
中科院分区：
文献类型：
--
作者：
Dai S;Xu S;Ye Y;Ding K
尽管最近在免疫治疗方面取得了进展，但结直肠癌(CRC)患者的预后仍存在很大的异质性。在这项研究中，我们的目的是分析来自三个独立的公共数据库的免疫相关基因(IRG)的表达谱，并开发一个有效的标记来预测患者的预后。IRG是从ImmPort数据库收集的。来自癌症基因组图谱(TCGA)数据库的CRC数据集被用来识别预后基因签名，这在来自基因表达总集(GEO)的另外两个CRC数据集中得到了验证。进行基因功能浓缩分析。将IRG征象与临床危险因素相结合，建立了预后标准图。这三个数据集分别有487名、579名和224名患者。通过特征选择建立了一个预后六基因标记(CCL22、LIMK1、MAPKAPK3、FLOT1、GPRC5B和IL20RB)，在训练集中的低风险组和高风险组(p<；0.001)中显示出良好的区分，这一点后来在两个验证组(log-ranep<；0.05)中得到了证实。在生存预测方面，Signature优于肿瘤TNM分期。GO和KEGG的功能注释分析表明，该信号在代谢过程和免疫调节方面显著丰富(p<；0.05)。当结合临床危险因素时，该模型显示出稳健的预测能力。免疫相关的六基因标志是结直肠癌患者可靠的预后指标，并可为个体化癌症治疗提供洞察力。
Despite recent advance in immune therapy, great heterogeneity exists in the outcomes of colorectal cancer (CRC) patients. In this study, we aimed to analyze the immune-related gene (IRG) expression profiles from three independent public databases and develop an effective signature to forecast patient’s prognosis. IRGs were collected from the ImmPort database. The CRC dataset from The Cancer Genome Atlas (TCGA) database was used to identify a prognostic gene signature, which was verified in another two CRC datasets from the Gene Expression Omnibus (GEO). Gene function enrichment analysis was conducted. A prognostic nomogram was built incorporating the IRG signature with clinical risk factors. The three datasets had 487, 579, and 224 patients, respectively. A prognostic six-gene-signature (CCL22, LIMK1, MAPKAPK3, FLOT1, GPRC5B, and IL20RB) was developed through feature selection that showed good differentiation between the low- and high-risk groups in the training set (p < 0.001), which was later confirmed in the two validation groups (log-rank p < 0.05). The signature outperformed tumor TNM staging for survival prediction. GO and KEGG functional annotation analysis suggested that the signature was significantly enriched in metabolic processes and regulation of immunity (p < 0.05). When combined with clinical risk factors, the model showed robust prediction capability. The immune-related six-gene signature is a reliable prognostic indicator for CRC patients and could provide insight for personalized cancer management.
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转移性结直肠癌患者的肝切除后，基因表达谱准确地预测结果。
影响因子：
3.7
作者：
Ito H;Mo Q;Qin LX;Viale A;Maithel SK;Maker AV;Shia J;Kingham P;Allen P;DeMatteo RP;Fong Y;Jarnagin WR;D'Angelica M
通讯作者：
D'Angelica M
影响因子：
2.5
作者：
Stelzner, Sigmar;Radulova-Mauersberger, Olga;Witzigmann, Helmut
通讯作者：
Witzigmann, Helmut
DOI：
10.1093/bioinformatics/btp101
发表时间：
2009-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Bindea G;Mlecnik B;Hackl H;Charoentong P;Tosolini M;Kirilovsky A;Fridman WH;Pagès F;Trajanoski Z;Galon J
通讯作者：
Galon J
DOI：
10.26355/eurrev_202002_20164
发表时间：
2020-01-01
影响因子：
3.3
作者：
Bai, J.;Zhang, X.;Xiong, B.
通讯作者：
Xiong, B.
影响因子：
82.9
作者：
Hanse, Ronald J.;Pritchard, Colin C.;Salipante, Stephen J.
通讯作者：
Salipante, Stephen J.