Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.
Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.
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DOI：
10.18632/aging.101594
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发表时间：
2018-10-22
期刊：
影响因子：
--
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Qian Z;Li Y;Sun Z;Fan X;Xu K;Wang K;Li S;Zhang Z;Jiang T;Liu X;Wang Y
目的：我们的目的是确定一个放射组学特征，作为低级别胶质瘤（LGG）患者预后的非侵入性生物标志物，并通过全面的放射基因组学研究揭示潜在的生物学过程。方法：我们从233例LGG患者的T2加权图像中提取了55个放射组学特征（训练队列：n = 85;验证队列：n = 148）。应用单变量考克斯回归和线性风险评分公式来生成基于放射性的签名。对高危评分组中高表达基因进行基因本体分析，建立放射基因组图谱。构建诺模图用于个体化生存预测。结果如下：六特征放射组学签名将训练队列中的患者分为低风险组或高风险组，以获得总生存率（P = 0.0018）。该结果在验证队列中得到成功验证（P = 0.0396）。放射基因组学分析显示，预后放射标记与缺氧，血管生成，细胞凋亡和细胞增殖。诺模图导致高预后准确性（C指数：0.92，C指数：0.70）和有利的校准为个性化的生存预测的培训和验证队列。结论：我们的研究结果表明，使用放射组学签名作为生物替代品，为LGG患者提供预后信息的潜力很大。
Objective: We aimed to identify a radiomic signature to be used as a noninvasive biomarker of prognosis in patients with lower-grade gliomas (LGGs) and to reveal underlying biological processes through comprehensive radiogenomic investigation. Methods: We extracted 55 radiomic features from T2-weighted images of 233 patients with LGGs (training cohort: n = 85; validation cohort: n = 148). Univariate Cox regression and linear risk score formula were applied to generate a radiomic-based signature. Gene ontology analysis of highly expressed genes in the high-risk score group was conducted to establish a radiogenomic map. A nomogram was constructed for individualized survival prediction. Results: The six-feature radiomic signature stratified patients in the training cohort into low- or high-risk groups for overall survival (P = 0.0018). This result was successfully verified in the validation cohort (P = 0.0396). Radiogenomic analysis revealed that the prognostic radiomic signature was associated with hypoxia, angiogenesis, apoptosis, and cell proliferation. The nomogram resulted in high prognostic accuracy (C-index: 0.92, C-index: 0.70) and favorable calibration for individualized survival prediction in the training and validation cohorts. Conclusions: Our results suggest a great potential for the use of radiomic signature as a biological surrogate in providing prognostic information for patients with LGGs.
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DOI：
10.1158/1078-0432.ccr-16-0702
发表时间：
2016-12-01
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Kickingereder P;Götz M;Muschelli J;Wick A;Neuberger U;Shinohara RT;Sill M;Nowosielski M;Schlemmer HP;Radbruch A;Wick W;Bendszus M;Maier-Hein KH;Bonekamp D
通讯作者：
Bonekamp D
DOI：
10.1056/nejmoa1407279
发表时间：
2015-06-25
期刊：
The New England journal of medicine
影响因子：
--
作者：
Eckel-Passow JE;Lachance DH;Molinaro AM;Walsh KM;Decker PA;Sicotte H;Pekmezci M;Rice T;Kosel ML;Smirnov IV;Sarkar G;Caron AA;Kollmeyer TM;Praska CE;Chada AR;Halder C;Hansen HM;McCoy LS;Bracci PM;Marshall R;Zheng S;Reis GF;Pico AR;O'Neill BP;Buckner JC;Giannini C;Huse JT;Perry A;Tihan T;Berger MS;Chang SM;Prados MD;Wiemels J;Wiencke JK;Wrensch MR;Jenkins RB
通讯作者：
Jenkins RB
影响因子：
2.6
作者：
Sala E;Mema E;Himoto Y;Veeraraghavan H;Brenton JD;Snyder A;Weigelt B;Vargas HA
通讯作者：
Vargas HA
影响因子：
19.7
作者：
Kim, Jae-Hun;Ko, Eun Sook;Nam, Seok Jin
通讯作者：
Nam, Seok Jin
影响因子：
15.9
作者：
Ostrom, Quinn T.;Gittleman, Haley;Barnholtz-Sloan, Jill S.
通讯作者：
Barnholtz-Sloan, Jill S.