| Literature DB >> 33374924 |
Jinming Fu1, Ji Zhu2, Fenqi Du3, Lijie Zhang2, Dapeng Li1, Hao Huang1, Tian Tian1, Yupeng Liu1, Lei Zhang1, Ying Liu1, Yuanyuan Zhang1, Jing Xu1, Shuhan Meng1, Chenyang Jia1, Simin Sun1, Xue Li1, Liyuan Zhao1, Ding Zhang1, Lixin Kang1, Lijing Gao1, Ting Zheng1, Sanjun Cai4, Yanlong Liu3, Yashuang Zhao1.
Abstract
Host inflammation is a critical component of tumor progression and its status can be indicated by peripheral blood cell counts. We aimed to construct a comprehensively prognostic inflammatory index (PII) based on preoperative peripheral blood cell counts and further evaluate its prognostic value for patients with colorectal cancer (CRC). A total of 9315 patients with stage II and III CRC from training and external validation cohorts were included. The PII was constructed by integrating all the peripheral blood cell counts associated with prognosis in the training cohort. Cox analyses were performed to evaluate the association between PII and overall survival (OS) and disease-free survival (DFS). In the training cohort, multivariate Cox analyses indicated that high OS-PII (>4.27) was significantly associated with worse OS (HR: 1.330, 95% CI: 1.189-1.489, p < 0.001); and high DFS-PII (>4.47) was significantly associated with worse DFS (HR: 1.366, 95% CI: 1.206-1.548, p < 0.001). The prognostic values of both OS-PII and DFS-PII were validated in the external validation cohort. The nomograms achieved good accuracy in predicting both OS and DFS. Time-dependent ROC analyses showed that both OS-PII and DFS-PII have a stable prognostic performance at various follow-up times. The prognostic value of tumor-node-metastasis staging could be enhanced by combining it with either OS-PII or DFS-PII. We demonstrated that PIIs are independent prognostic predictors for CRC patients, and the nomograms based on PIIs can be recommended for personalized survival prediction of patients with CRC.Entities:
Keywords: colorectal cancer; nomograms; peripheral blood cell; prognosis; prognostic inflammatory index
Year: 2020 PMID: 33374924 DOI: 10.3390/cancers13010003
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639