Development and validation of a new stage-specific nomogram model for predicting cancer-specific survival in patients in different stages of colon cancer: A SEER population-based study and external validation.
Development and validation of a new stage-specific nomogram model for predicting cancer-specific survival in patients in different stages of colon cancer: A SEER population-based study and external validation.
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开发和验证新的阶段特异性列线图模型，用于预测不同阶段结肠癌患者的癌症特异性生存：一项基于 SEER 人群的研究和外部验证
DOI：
10.3389/fonc.2022.1024467
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发表时间：
2022
影响因子：
4.7
通讯作者：
中科院分区：
文献类型：
--
作者：
原发灶的偏侧性对不同阶段结肠癌患者生存的影响是相互矛盾的。考虑到肿瘤偏侧性在不同阶段的不同作用，我们仍然缺乏一个严格评估和验证的生存预测工具。分别利用西安交通大学第一附属医院监测、流行病学和结局数据库和西安交通大学第一附属医院数据库对101,277和809例结肠癌病例进行了调查。我们建立了训练集、内部验证集和外部验证集。我们开发和评估了用于预测癌症特定生存期的分期预测模型和统一预测模型，并比较了这些模型的预测能力。与右侧结肠癌相比，左侧结肠癌患者在I/II期的癌症特异性死亡风险显著高于右侧结肠癌患者，但在III期患者中显著低于右侧结肠癌患者。我们分别建立了I/II阶段和III阶段的分阶段预测模型，并建立了所有阶段的统一预测模型。通过对验证集的评估和验证，我们发现模型具有很高的预测能力和泛化能力。此外，特定阶段的预测模型比统一模型具有更好的预测能力和效率。在I/II期，右侧结肠癌患者的肿瘤特异性生存率好于左侧结肠癌患者，而在III期患者的肿瘤特异性生存率较差。使用阶段特异性预测模型可以进一步提高对结肠癌患者癌症特异性生存率的预测，指导临床决策。
The effects of laterality of the primary tumor on survival in patients in different stages of colon cancer are contradictory. We still lack a strictly evaluated and validated survival prediction tool, considering the different roles of tumor laterality in different stages. A total of 101,277 and 809 colon cancer cases were reviewed using the Surveillance, Epidemiology, and End Results database and the First Affiliated Hospital of Xi ‘an Jiaotong University database, respectively. We established training sets, internal validation sets and external validation sets. We developed and evaluated stage-specific prediction models and unified prediction models to predict cancer-specific survival and compared the prediction abilities of these models. Compared with right-sided colon cancers, the risk of cancer-specific death of left-sided colon cancer patients was significantly higher in stage I/II but was markedly lower in stage III patients. We established stage-specific prediction models for stage I/II and stage III separately and established a unified prediction model for all stages. By evaluating and validating the validation sets, we reported high prediction ability and generalizability of the models. Furthermore, the stage-specific prediction models had better predictive power and efficiency than the unified model. Right-sided colon cancer patients have better cancer-specific survival than left-sided colon cancer patients in stage I/II and worse cancer-specific survival in stage III. Using stage-specific prediction models can further improve the prediction of cancer-specific survival in colon cancer patients and guide clinical decisions.
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影响因子：
5.2
作者：
Jasmine F;Haq Z;Kamal M;Raza M;da Silva G;Gorospe K;Paul R;Strzempek P;Ahsan H;Kibriya MG
通讯作者：
Kibriya MG
回顾和评估用于事件少的低维数据风险预测的惩罚回归方法。
影响因子：
2
作者：
Pavlou M;Ambler G;Seaman S;De Iorio M;Omar RZ
通讯作者：
Omar RZ
影响因子：
9
作者：
Margonis, Georgios Antonios;Amini, Neda;Weiss, Matthew J.
通讯作者：
Weiss, Matthew J.
影响因子：
28.4
作者：
Petrelli, Fausto;Tomasello, Gianluca;Barni, Sandro
通讯作者：
Barni, Sandro
影响因子：
3.4
作者：
Li, Yaqi;Feng, Yang;Peng, Junjie
通讯作者：
Peng, Junjie