The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies.
The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies.
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原发性脊柱恶性肿瘤的临床特征和预测列线图
DOI：
10.3389/fonc.2021.608323
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发表时间：
2021
影响因子：
4.7
通讯作者：
Yin H
中科院分区：
文献类型：
--
作者：
Zhou L;Huang R;Wei Z;Meng T;Yin H
原发性脊柱恶性肿瘤（PSM）在骨肿瘤中相对罕见。由于其罕见性，其临床特征和预后因素仍不明确。在这项研究中，我们的目的是确定临床特征和提出预测列线图与PSM患者。从监测、流行病学和最终结果（SEER）数据库中选择1975年至2016年期间诊断为PSM的患者，包括脉络膜炎、骨肉瘤、软骨肉瘤、尤文肉瘤和恶性骨巨细胞瘤（GCTB）。根据临床信息描述患者和肿瘤特征。单因素和多因素考克斯分析确定影响总生存期（OS）和癌症特异性生存期（CSS）的显著预后因素。根据筛选出的预测因子建立OS和CSS的诺模图，并通过Cox-Snell残差图、受试者工作特征（ROC）曲线下面积（AUC）和校正曲线（calibration curve）考察其准确性。从1975年至2016年的SEER数据库中选择了1，096例PSM患者的临床信息。2004年至2016年间，共有395名患者获得了完整的生存和治疗数据。最常见的肿瘤为软骨瘤400例，其次为骨肉瘤沿着172例，软骨肉瘤240例，尤文肉瘤262例，恶性GCTB 22例。单变量和多变量分析显示，年龄较大（年龄> 60岁）、远处转移、化疗和手术是OS和/或CSS的独立预测因素。基于这些结果，建立了具有更好适用性的列线图（CSS的AUC：0.784; OS的AUC：0.780）。本研究在大样本人群基础上，为PSM患者的临床特征和预测因素提供了统计学依据。此外，还建立了精确的预测诺模图，具有良好的适用性。
Primary spine malignancies (PSMs) are relatively rare in bone tumors. Due to their rarity, the clinical characteristics and prognostic factors are still ambiguous. In this study, we aim to identify the clinical features and proposed prediction nomograms for patients with PSMs. Patients diagnosed with PSMs including chordoma, osteosarcoma, chondrosarcoma, Ewing sarcoma, and malignant giant cell tumor of bone (GCTB) between 1975 and 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. The patient and tumor characteristics were described based on clinical information. The significant prognostic factors of overall survival (OS) and cancer-specific survival (CSS) were identified by the univariate and multivariate Cox analysis. Then, the nomograms for OS and CSS were established based on the selected predictors and their accuracy was explored by the Cox–Snell residual plot, area under the curve (AUC) of receiver operator characteristic (ROC) and calibration curve. The clinical information of 1,096 patients with PSMs was selected from the SEER database between 1975 and 2016. A total of 395 patients were identified with full survival and treatment data between 2004 and 2016. Chordoma is the commonest tumor with 400 cases, along 172 cases with osteosarcoma, 240 cases with chondrosarcoma, 262 cases with Ewing sarcoma and 22 cases with malignant GCTB. The univariate and multivariate analyses revealed that older age (Age > 60), distant metastasis, chemotherapy, and Surgery were independent predictors for OS and/or CSS. Based on these results, the nomograms were established with a better applicability (AUC for CSS: 0.784; AUC for OS: 0.780). This study provides the statistics evidence for the clinical characteristics and predictors for patients with PSMs based on a large size population. Additionally, precise prediction nomograms were also established with a well-applicability.
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影响因子：
3.9
作者：
Dang, Lei;Liu, Xiaoguang;Liu, Zhongjun
通讯作者：
Liu, Zhongjun
DOI：
10.1016/s1470-2045(14)71116-7
发表时间：
2015-04
期刊：
The Lancet. Oncology
影响因子：
--
作者：
Balachandran VP;Gonen M;Smith JJ;DeMatteo RP
通讯作者：
DeMatteo RP
DOI：
10.1007/s00432-017-2519-y
发表时间：
2018-01-01
影响因子：
3.6
作者：
Morgen, Soren Schmidt;Fruergaard, Sidsel;Dahl, Benny
通讯作者：
Dahl, Benny
影响因子：
3.7
作者：
Yin, Huabin;Zhou, Wang;Xiao, Jianru
通讯作者：
Xiao, Jianru
尤文肉瘤转移和不良预后的危险因素：一项基于人群的研究
影响因子：
2.6
作者：
Shi, Jiaqi;Yang, Jianing;Wang, Xu
通讯作者：
Wang, Xu