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Nomograms for Prediction of Molecular Phenotypes in Colorectal Cancer

Authors :
Zenghong Huang
Meijin Huang
Chen Zijian
Xinhui Fu
Chuanhai Zhou
Zhuojun Yu
Yumo Xie
Gaopo Xu
Heng Wang
Liangliang Bai
Zhuokai Zhuang
Huichuan Yu
Xiaolin Wang
Yanxin Luo
Qi Zou
Tang Guannan
Source :
OncoTargets and Therapy. 13:309-321
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Background Colorectal cancer (CRC) patients with different molecular phenotypes, including microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and somatic mutations in BRAF and KRAS gene, vary in treatment response and prognosis. However, molecular phenotyping under adequate quality control in a community-based setting may be difficult. We aimed to build the nomograms based on easily accessible clinicopathological characteristics to predict molecular phenotypes. Methods Three hundred and six patients with pathologically confirmed stage I-IV CRC were included in the cohort. The assays for MSI, CIMP, and mutations in BRAF and KRAS gene were performed using resected tumor samples. The candidate predictors were identified from clinicopathological variables using multivariate Logistic regression analyses to construct the nomograms that could predict each molecular phenotype. Results The incidences of MSI, CIMP, BRAF mutation and KRAS mutation were 25.3% (72/285), 2.5% (7/270), 3.4% (10/293), and 34.8% (96/276) respectively. In the multivariate Logistic analysis, poor differentiation and high neutrophil/lymphocyte ratio (NLR) were independently associated with MSI; poor differentiation, high NLR and high carcinoembryonic antigen/tumor size ratio (CSR) were independently associated with CIMP; poor differentiation, lymphovascular invasion and high CSR were independently associated with BRAF mutation; poor differentiation, proximal tumor, mucinous tumor and high NLR were independently associated with KRAS mutation. Four nomograms for MSI, CIMP, BRAF mutation and KRAS mutation were developed based on these independent predictors, the C-indexes of which were 61.22% (95% CI: 60.28-62.16%), 95.57% (95% CI: 95.20-95.94%), 83.56% (95% CI: 81.54-85.58%), and 69.12% (95% CI: 68.30-69.94%) respectively. Conclusion We established four nomograms using easily accessible variables that could well predict the presence of MSI, CIMP, BRAF mutation and KRAS mutation in CRC patients.

Details

ISSN :
11786930
Volume :
13
Database :
OpenAIRE
Journal :
OncoTargets and Therapy
Accession number :
edsair.doi...........31788ad0f3c6fe6b41fc83b79ad6d811
Full Text :
https://doi.org/10.2147/ott.s234495