Identifying 8-mRNAsi Based Signature for Predicting Survival in Patients With Head and Neck Squamous Cell Carcinoma via Machine Learning.
Identifying 8-mRNAsi Based Signature for Predicting Survival in Patients With Head and Neck Squamous Cell Carcinoma via Machine Learning.
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通过机器学习识别基于 8-mRNAsi 的特征来预测头颈鳞状细胞癌患者的生存期
DOI：
10.3389/fgene.2020.566159
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发表时间：
2020
影响因子：
3.7
通讯作者：
Cai G
中科院分区：
文献类型：
--
作者：
Tian Y;Wang J;Qin C;Zhu G;Chen X;Chen Z;Qin Y;Wei M;Li Z;Zhang X;Lv Y;Cai G
肿瘤干细胞（cancer stem cells，CSCs）具有分化、自我更新和稳态调控等独特的生物学特性，可维持肿瘤的生长和扩散。头颈部鳞状细胞癌（HNSCC）的复发和治疗抗性已被确定归因于CSC。然而，导致HNSCC干细胞发育的生物标志物仍然不太明确。在这项研究中，我们量化肿瘤干细胞的mRNA表达为基础的干细胞指数（mRNAsi），发现mRNAsi指数在HNSCC组织高于正常组织。在HPV阳性患者中观察到显著高于HPV阴性患者，以及在男性患者中观察到显著高于女性患者。从通过加权基因共表达网络分析筛选的与mRNAsi最相关的两个模块中的基因中鉴定8-mRNAsi标签。在这种预后特征中，RGS 16、LYVE 1、hnRNPC、ANP 32A和AIMP 1的高表达集中在促进细胞增殖和肿瘤进展中。而ZNF 66、PIK 3R 3和MAP 2K 7与低死亡风险相关。8个特征的风险评分对1年、3年、5年总生存率有较强的预测能力（5年AUC为0.77，95% CI为0.69-0.85）。这些基于干细胞指数的发现可能为抑制HNSCC干细胞的靶向治疗提供新的理解。
Cancer stem cells (CSCs) have been characterized by several exclusive features that include differentiation, self-renew, and homeostatic control, which allows tumor maintenance and spread. Recurrence and therapeutic resistance of head and neck squamous cell carcinomas (HNSCC) have been identified to be attributed to CSCs. However, the biomarkers led to the development of HNSCC stem cells remain less defined. In this study, we quantified cancer stemness by mRNA expression-based stemness index (mRNAsi), and found that mRNAsi indices were higher in HNSCC tissues than that in normal tissue. A significantly higher mRNAsi was observed in HPV positive patients than HPV negative patients, as well as in male patients than in female patients. The 8-mRNAsi signature was identified from the genes in two modules which were mostly related to mRNAsi screened by weighted gene co-expression network analysis. In this prognostic signatures, high expression of RGS16, LYVE1, hnRNPC, ANP32A, and AIMP1 focus in promoting cell proliferation and tumor progression. While ZNF66, PIK3R3, and MAP2K7 are associated with a low risk of death. The riskscore of eight signatures have a powerful capacity for 1-, 3-, 5-year of overall survival prediction (5-year AUC 0.77, 95% CI 0.69–0.85). These findings based on stemness indices may provide a novel understanding of target therapy for suppressing HNSCC stem cells.
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WGCNA：用于加权相关网络分析的 R 包。
影响因子：
3
作者：
Langfelder P;Horvath S
通讯作者：
Horvath S
影响因子：
64.5
作者：
Malta TM;Sokolov A;Gentles AJ;Burzykowski T;Poisson L;Weinstein JN;Kamińska B;Huelsken J;Omberg L;Gevaert O;Colaprico A;Czerwińska P;Mazurek S;Mishra L;Heyn H;Krasnitz A;Godwin AK;Lazar AJ;Cancer Genome Atlas Research Network;Stuart JM;Hoadley KA;Laird PW;Noushmehr H;Wiznerowicz M
通讯作者：
Wiznerowicz M
影响因子：
16.8
作者：
Jackson, DG;Prevo, R;Banerji, S
通讯作者：
Banerji, S
影响因子：
50.3
作者：
Phillips, HS;Kharbanda, S;Aldape, K
通讯作者：
Aldape, K
影响因子：
4.6
作者：
Kleemann M;Schneider H;Unger K;Sander P;Schneider EM;Fischer-Posovszky P;Handrick R;Otte K
通讯作者：
Otte K