Identification of microtubule-associated biomarkers in diffuse large B-cell lymphoma and prognosis prediction.
Identification of microtubule-associated biomarkers in diffuse large B-cell lymphoma and prognosis prediction.
复制标题
弥漫性大B细胞淋巴瘤微管相关生物标志物的鉴定及预后预测
DOI：
10.3389/fgene.2022.1092678
复制
发表时间：
2022
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
背景：弥漫性大B细胞淋巴瘤（DLBCL）是一种遗传异质性疾病，预后复杂。尽管目前已经应用了各种预后评估，但它们通常仅使用忽视分子基础DLBCL进展的临床因素。因此，更准确的预后评估需要进一步探索。在本研究中，我们构建了一个新的预测模型的基础上微管相关基因（MAG）。 研究方法：共包括33个正常对照和1360个DLBCL样本，这些样本含有来自基因表达Omnibus（GEO）数据库的基因表达。随后，使用单变量考克斯、最小绝对收缩选择算子（LASSO）和多变量考克斯回归分析来选择最佳预后相关基因进入MAGs模型。为了验证模型，Kaplan-Meier曲线和诺模图进行了分析。 结果如下：建立了基于14个候选MAG（CCDC 78、CD 300 LG、CTAG 2、DYNLL 2、MAPKAPK 2、MREG、NME 8、PGK 2、RALBP 1、SIGLEC 1、SLC1A1、SLC39 A12、TMEM 63 A和WRAP 73）的风险评分模型。K-M曲线显示，在训练和验证数据集中，高风险患者的总生存（OS）时间显著低于低风险患者。此外，敲除属于MAGs模型的关键基因TMEM63A显著抑制细胞增殖。 结论：MAGs预测模型具有较好的预测能力，可作为现有评估方法的补充。候选基因TMEM63A在DLBCL中具有潜在的治疗靶点。
Background: Diffuse large B-cell lymphoma (DLBCL) is a genetically heterogeneous disease with a complicated prognosis. Even though various prognostic evaluations have been applied currently, they usually only use the clinical factors that overlook the molecular underlying DLBCL progression. Therefore, more accurate prognostic assessment needs further exploration. In the present study, we constructed a novel prognostic model based on microtubule associated genes (MAGs). Methods: A total of 33 normal controls and 1360 DLBCL samples containing gene-expression from the Gene Expression Omnibus (GEO) database were included. Subsequently, the univariate Cox, the least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis were used to select the best prognosis related genes into the MAGs model. To validate the model, Kaplan-Meier curve, and nomogram were analyzed. Results: A risk score model based on fourteen candidate MAGs (CCDC78, CD300LG, CTAG2, DYNLL2, MAPKAPK2, MREG, NME8, PGK2, RALBP1, SIGLEC1, SLC1A1, SLC39A12, TMEM63A, and WRAP73) was established. The K-M curve presented that the high-risk patients had a significantly inferior overall survival (OS) time compared to low-risk patients in training and validation datasets. Furthermore, knocking-out TMEM63A, a key gene belonging to the MAGs model, inhibited cell proliferation noticeably. Conclusion: The novel MAGs prognostic model has a well predictive capability, which may as a supplement for the current assessments. Furthermore, candidate TMEM63A gene has therapeutic target potentially in DLBCL.
登录
查看更多内容
影响因子：
7.5
作者：
Ge, Penglei;Wang, Weiwei;Wu, Yang
通讯作者：
Wu, Yang
影响因子：
4.6
作者：
Wu DM;Liu T;Deng SH;Han R;Xu Y
通讯作者：
Xu Y
影响因子：
45.3
作者：
Maurer, Matthew J.;Ghesquieres, Herve;Cerhan, James R.
通讯作者：
Cerhan, James R.
DOI：
10.1016/j.bbrc.2017.07.044
发表时间：
2017-09-09
影响因子：
3.1
作者：
Meng, Xiaomei;Dong, Yaozhong;Pang, Shuguang
通讯作者：
Pang, Shuguang
影响因子：
6.4
作者：
Kaaks R;Fortner RT;Hüsing A;Barrdahl M;Hopper M;Johnson T;Tjønneland A;Hansen L;Overvad K;Fournier A;Boutron-Ruault MC;Kvaskoff M;Dossus L;Johansson M;Boeing H;Trichopoulou A;Benetou V;La Vecchia C;Sieri S;Mattiello A;Palli D;Tumino R;Matullo G;Onland-Moret NC;Gram IT;Weiderpass E;Sánchez MJ;Navarro Sanchez C;Duell EJ;Ardanaz E;Larranaga N;Lundin E;Idahl A;Jirström K;Nodin B;Travis RC;Riboli E;Merritt M;Aune D;Terry K;Cramer DW;Anderson KS
通讯作者：
Anderson KS