Eight-Signature Classifier for Prediction of Nasopharyngeal Carcinoma Survival

Wang, Hai Yun; Sun, Bing; Zhu, Zhi; Chang, Ellen T.; To, Ka Fai; Hwang, Jacqueline Siok Gek; Jiang, Hao; Kam, Michael Koon Ming; Chen, Gang; Cheah, Shie Lee; Liu, Ming; Liu, Zhi‐Wei; Chen, Jing; Zhang, Jia Xing; Zhang, Hui Zhong; He, Jie; Chen, Fa Long; Zhu, Xiao Dong; Huang, Ming-Yang; Liao, Ding Zhun; Fu, Jia; Shao, Quanqin; Cai, Man; Du, Zhiheng; Li, Yan; Hu, Chun Fang; Ng, Ho Keung; Wee, Joseph; Qian, Chao Nan; Liu, Qing; Ernberg, Ingemar; Ye, Weimin; Adami, Hans Olov; Chan, Anthony T.C.; Zeng, Yi Xin; Shao, Jian Yong

doi:10.1200/jco.2010.33.7741

Cited by 136 publications

(118 citation statements)

References 37 publications

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“…Although the tumor-node-metastasis (TNM) staging system for NPC plays a vital role in predicting prognosis and facilitate treatment stratification, it may not be sufficiently precise (9). Beyond traditional prediction strategies, some recent studies reported that various clinical risk factors, such as hemoglobin, lactate dehydrogenase level, neutrophil-to-lymphocyte ratio, and platelet counts, were associated with poor survival (10)(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Zhang

Tian

Dong

et al. 2017

Clinical Cancer Research

434

351

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Purpose: To identify MRI-based radiomics as prognostic factors in patients with advanced nasopharyngeal carcinoma (NPC).Experimental Design: One-hundred and eighteen patients (training cohort: n ¼ 88; validation cohort: n ¼ 30) with advanced NPC were enrolled. A total of 970 radiomics features were extracted from T2-weighted (T2-w) and contrast-enhanced T1-weighted (CET1-w) MRI. Least absolute shrinkage and selection operator (LASSO) regression was applied to select features for progression-free survival (PFS) nomograms. Nomogram discrimination and calibration were evaluated. Associations between radiomics features and clinical data were investigated using heatmaps.Results: The radiomics signatures were significantly associated with PFS. A radiomics signature derived from joint CET1-w and T2-w images showed better prognostic performance than signatures derived from CET1-w or T2-w images alone. One radiomics nomogram combined a radiomics signature from joint CET1-w and T2-w images with the TNM staging system. This nomogram showed a significant improvement over the TNM staging system in terms of evaluating PFS in the training cohort (C-index, 0.761 vs. 0.514; P < 2.68 Â 10 À9 ). Another radiomics nomogram integrated the radiomics signature with all clinical data, and thereby outperformed a nomogram based on clinical data alone (C-index, 0.776 vs. 0.649; P < 1.60 Â 10 À7 ). Calibration curves showed good agreement. Findings were confirmed in the validation cohort. Heatmaps revealed associations between radiomics features and tumor stages. Conclusions: Multiparametric MRI-based radiomics nomograms provided improved prognostic ability in advanced NPC. These results provide an illustrative example of precision medicine and may affect treatment strategies.

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Section: Introductionmentioning

confidence: 99%

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Zhang

Tian

Dong

et al. 2017

Clinical Cancer Research

434

351

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show abstract

“…4 Currently, the prognosis for NPC patients is based on histological classification combined with information on the tumor size and location. 5,6 These factors are important for the detection of NPC and determining the disease stage. However, varying outcomes of clinical treatment have been reported for NPC patients with the same stage of disease treated using comparable methods.…”

mentioning

confidence: 99%

Circulating Epstein–Barr virus microRNAs miR‐BART7 and miR‐BART13 as biomarkers for nasopharyngeal carcinoma diagnosis and treatment

Zhang

Zong

Shen

et al. 2014

Intl Journal of Cancer

104

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More than 75% of nasopharyngeal carcinoma (NPC) patients have already developed local or regional spread at diagnosis, which hampers effective treatment and results in a poor prognosis. It is essential to characterize more sensitive and specific biomarkers for screening of high risk individuals and assessment of NPC treatment effectiveness. NPC is an Epstein-Barr virus (EBV) associated tumor in which only a few viral proteins but more than 20 BamHI A rightward transcripts (BART) microRNAs are detected, at abundant levels. We hypothesized that these BART microRNAs may be novel biomarkers for NPC. Systematic analysis of EBV BART microRNA expression profiles in EBV latently infected Mutu I and Mutu III cell lines, EBV-harboring NPC and noncancerous NP cells found that miR-BART3, miR-BART7 and miR-BART13 microRNAs are highly expressed and regularly secreted into the extracellular environment of NPC cells. These BART microRNAs were evaluated for used as potential NPC biomarkers. Analysis of plasma specimens obtained from NPC patients (n 5 89), and healthy (n 5 28) and non-NPC tumor patient controls (n 5 18) found levels of both miR-BART7 and miR-BART13, but not miR-BART3, to be distinctly presence among NPC patients, with elevated levels being particularly apparent among patients with advanced disease. Receiver operating characteristic curve analysis combining miR-BART7 and miR-BART13 levels produces a 90% predictive value for the presence of NPC. Analysis of 41 NPC patients before and after radiotherapy showed that miR-BART7 and miR-BART13, but not miR-BART3, were diminished after treatment. These results indicate that EBV microRNAs, miR-BART7 and miR-BART13, may constitute useful new serological biomarkers for diagnosis of NPC and prediction of treatment efficacy.

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“…Second, our time period for considering patients to be free of disease may be considered short at 3 years; however, .90% of NPC relapses occur in the first 3 years after initial treatment. 20 Third, we must recognize the limitations of MRI. We can not rule out the possibility that abnormal signals in the skull base on MRI may be owing to a reactive change caused by the adjacent tumour; furthermore, slight erosions of the bone cortex may not be detectable by MRI.…”

Section: Discussionmentioning

confidence: 99%

MR imaging prediction of local control of nasopharyngeal carcinoma treated with radiation therapy and chemotherapy

Wang¹,

Zhao²,

Zhang³

et al. 2014

BJR

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Eight-Signature Classifier for Prediction of Nasopharyngeal Carcinoma Survival

Abstract: As a powerful predictor of 5-year DSS among patients with NPC, the newly developed NPC-SVM classifier based on tumor-associated biomarkers will facilitate patient counseling and individualize management of patients with NPC.

Cited by 136 publications

References 37 publications

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Circulating Epstein–Barr virus microRNAs miR‐BART7 and miR‐BART13 as biomarkers for nasopharyngeal carcinoma diagnosis and treatment

MR imaging prediction of local control of nasopharyngeal carcinoma treated with radiation therapy and chemotherapy

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