Suppr超能文献

个性化预测晚期结直肠癌患者生存:ARCAD 列线图项目。

Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project.

机构信息

NHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia.

Cancer Care Centre, St George Hospital, Kogarah, NSW, Australia.

出版信息

J Natl Cancer Inst. 2018 Jun 1;110(6):638-648. doi: 10.1093/jnci/djx253.

Abstract

BACKGROUND

Estimating prognosis on the basis of clinicopathologic factors can inform clinical practice and improve risk stratification for clinical trials. We constructed prognostic nomograms for one-year overall survival and six-month progression-free survival in metastatic colorectal carcinoma by using the ARCAD database.

METHODS

Data from 22 674 patients in 26 randomized phase III clinical trials since 1997 were used to construct and validate Cox models, stratified by treatment arm within each study. Candidate variables included baseline age, sex, body mass index, performance status, colon vs rectal cancer, prior chemotherapy, number and location of metastatic sites, tumor mutation status (BRAF, KRAS), bilirubin, albumin, white blood cell count, hemoglobin, platelets, absolute neutrophil count, and derived neutrophil-to-lymphocyte ratio. Missing data (<11%) were imputed, continuous variables modeled with splines, and clinically relevant pairwise interactions tested if P values were less than .001. Final models were internally validated via bootstrapping to obtain optimism-corrected calibration and discrimination C-indices, and externally validated on a 10% holdout sample from each trial (n = 2257).

RESULTS

In final models, all included variables were associated with overall survival except for lung metastases, and all but total white cell count associated with progression-free survival. No clinically relevant pairwise interactions were identified. Final nomogram calibration was good (C = 0.68 for overall and C = 0.62 for progression-free survival), as was external validity (concordance between predicted >50% vs < 50% probability) and actual (yes/no) survival (72.8% and 68.2% concordance, respectively, for one-year overall and six-month progression-free survival, between predicted [>50% vs < 50% probability] and actual [yes/no] overall and progression-free survival). Median survival predictions fell within the actual 95% Kaplan-Meier confidence intervals.

CONCLUSIONS

The nomograms are well calibrated and internally and externally valid. They have the potential to aid prognostication and patient-physician communication and balance risk in colorectal cancer trials.

摘要

背景

基于临床病理因素进行预后评估可为临床实践提供信息,并改善临床试验的风险分层。我们利用 ARCAD 数据库为转移性结直肠癌的一年总生存率和六个月无进展生存率构建了预后列线图。

方法

使用来自 1997 年以来 26 项随机 III 期临床试验的 22674 名患者的数据构建和验证 Cox 模型,在每个研究中按治疗臂进行分层。候选变量包括基线年龄、性别、体重指数、表现状态、结肠癌与直肠癌、既往化疗、转移性部位的数量和位置、肿瘤突变状态(BRAF、KRAS)、胆红素、白蛋白、白细胞计数、血红蛋白、血小板、绝对中性粒细胞计数和衍生中性粒细胞与淋巴细胞比值。缺失数据(<11%)进行了插补,连续变量采用样条模型,并且如果 P 值小于.001,则测试临床相关的成对交互作用。最终模型通过自举法进行内部验证,以获得优化校正后的校准和判别 C 指数,并在每个试验的 10%保留样本(n=2257)上进行外部验证。

结果

在最终模型中,除了肺转移外,所有纳入的变量均与总生存相关,除了总白细胞计数外,所有变量均与无进展生存相关。未发现临床相关的成对交互作用。最终列线图校准良好(总生存的 C=0.68,无进展生存的 C=0.62),外部验证的一致性(预测>50%与<50%概率之间)和实际(是/否)生存之间的一致性(一年总生存和六个月无进展生存的预测[>50%与<50%概率]与实际[是/否]生存之间的一致性分别为 72.8%和 68.2%)。中位生存预测值位于实际 95%的 Kaplan-Meier 置信区间内。

结论

该列线图具有良好的校准性,并且在内部和外部均有效。它们有可能辅助预后判断和医患沟通,并平衡结直肠癌试验中的风险。

相似文献

9
Survival nomograms for stage III colorectal cancer.III期结直肠癌的生存列线图。
Medicine (Baltimore). 2018 Dec;97(49):e13239. doi: 10.1097/MD.0000000000013239.

引用本文的文献

本文引用的文献

9
BRAF Mutation in Colorectal Cancer: An Update.结直肠癌中的BRAF突变:最新进展
Biomark Cancer. 2015 Sep 6;7(Suppl 1):9-12. doi: 10.4137/BIC.S25248. eCollection 2015.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验