Suppr超能文献

一种纳入CDGSH铁硫结构域2(CISD2)的新型预后评分模型可预测喉鳞状细胞癌的疾病进展风险。

A novel prognostic score model incorporating CDGSH iron sulfur domain2 (CISD2) predicts risk of disease progression in laryngeal squamous cell carcinoma.

作者信息

Yang Lin, Hong Shaodong, Wang Yan, He Zhenyu, Liang Shaobo, Chen Haiyang, He Shasha, Wu Shu, Song Libing, Chen Yong

机构信息

Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China.

State Key Laboratory of Oncology in Southern China, Guangzhou 510060, China.

出版信息

Oncotarget. 2016 Apr 19;7(16):22720-32. doi: 10.18632/oncotarget.8150.

Abstract

BACKGROUND

The role of CDGSH iron sulfur domain 2 (CISD2) in laryngeal squamous cell carcinoma (LSCC) remains unclear.

RESULTS

CISD2 were up-regulated in LSCC tissues compared with adjacent noncancerous tissues both at mRNA and protein levels. CISD2 was significantly correlated with T stage, lymph node metastasis, clinical stage and disease progression. A prognostic model (C-N model) for PFS was subsequently constructed based on independent prognostic factors including CISD2 and N classification. This model significantly divided LSCC patients into three risk subgroups and was more accurate than the prediction efficacy of TNM classification in the training cohort (C-index, 0.710 vs 0.602, P = 0.027) and validation cohort (C-index, 0.719 vs 0.578, P = 0.014).

METHODS

Real-time PCR and Western blotting were employed to examine the expression of CISD2 in eight fresh paired LSCC samples. Immunohistochemistry was performed to assess CISD2 expression in 490 paraffin-embedded archived LSCC samples. A prognostic model for progression-free survival (PFS) was built using independent factors. The concordance index (C-Index) was used to evaluate the prognostic ability of the model.

CONCLUSIONS

CISD2 was up-regulated in LSCC. The novel C-N model, which includes CISD2 levels and N classification, is more accurate than conventional TNM classification for predicting PFS in LSCC.

摘要

背景

CDGSH铁硫结构域2(CISD2)在喉鳞状细胞癌(LSCC)中的作用尚不清楚。

结果

与相邻正常组织相比,CISD2在LSCC组织中的mRNA和蛋白质水平均上调。CISD2与T分期、淋巴结转移、临床分期和疾病进展显著相关。随后基于包括CISD2和N分类在内的独立预后因素构建了无进展生存期(PFS)的预后模型(C-N模型)。该模型将LSCC患者显著分为三个风险亚组,在训练队列(C指数,0.710对0.602,P = 0.027)和验证队列(C指数,0.719对0.578,P = 0.014)中比TNM分类的预测效能更准确。

方法

采用实时PCR和蛋白质印迹法检测8对新鲜LSCC样本中CISD2的表达。采用免疫组织化学法评估490例石蜡包埋存档LSCC样本中CISD2的表达。使用独立因素构建无进展生存期(PFS)的预后模型。一致性指数(C指数)用于评估模型的预后能力。

结论

CISD2在LSCC中上调。包含CISD2水平和N分类的新型C-N模型在预测LSCC的PFS方面比传统TNM分类更准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ad/5008395/5a6523e221da/oncotarget-07-22720-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验