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Prediction of hepatic metastasis and relapse in colorectal cancers based on concordance analyses with liver fibrosis scores

Overview of attention for article published in Clinical and Translational Medicine, February 2020
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Title
Prediction of hepatic metastasis and relapse in colorectal cancers based on concordance analyses with liver fibrosis scores
Published in
Clinical and Translational Medicine, February 2020
DOI 10.1186/s40169-020-0264-3
Pubmed ID
Authors

Xiang Hu, Audrey Marietta, Wei‐Xing Dai, Ya‐Qi Li, Xiao‐ji Ma, Long Zhang, San‐Jun Cai, Jun‐Jie Peng

Abstract

Liver fibrosis, resulted from several liver diseases, are increasing up to 25% in population in global. It remains undetermined how much impact liver fibrosis have on the development of hepatic metastasis and relapse in colorectal cancer (CRC). Hence the aim of this study was to clarify the role of liver fibrosis on hepatic metastasis and relapse in CRC undergoing curative therapy. We enrolled consecutive 1652 patients with radical colorectal surgery as the discovery cohort, and the validation set enrolled 432 CRC patients with hepatic metastasis. To determine liver fibrosis, the NFS, FIB4 and APRI scores were applied. The influence of liver fibrosis on hepatic metastasis and relapse was assessed by survival analyses. Nomograms with fibrosis score incorporated were established to identify the incremental value for individualized relapse estimation, which was then assessed with respect to calibration, discrimination, and clinical usefulness. The high liver fibrosis score patients had significantly worse outcomes than low score in 5-year hepatic metastasis (22.6 vs. 8.7%) in discovery cohort, and relapse (58.2 vs. 44.1%) in validation cohort. Multivariate analysis also revealed liver fibrosis as an independent prognostic factor. The distribution analysis also demonstrated higher liver fibrosis score a powerful prognostic factor for hepatic metastasis and relapse. The nomogram incorporated with liver fibrosis score resulted in better performance than TNM staging system and clinicopathologic nomograms. Importantly, the discriminatory capacity of the fibrosis score was superior to that of the CRS score in predicting hepatic specific disease-free survival (DFS) and relapse-free survival (RFS), as demonstrated by the C-index and AUC. The concordance study showed well agreement among NFS, FIB4 and APRI in predicting DFS and RFS. Among these three noninvasive liver fibrosis scores, NFS score performed the best in predicting hepatic specific DFS and RFS. The liver fibrosis was a powerful predictor of hepatic specific DFS and RFS in CRC. Fibrosis niche may be a favorable microenvironment for metastatic formation in the liver.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Ph. D. Student 3 15%
Student > Bachelor 3 15%
Student > Doctoral Student 2 10%
Unknown 7 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Medicine and Dentistry 5 25%
Agricultural and Biological Sciences 2 10%
Immunology and Microbiology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Clinical and Translational Medicine
#851
of 1,060 outputs
Outputs of similar age
#399,648
of 469,285 outputs
Outputs of similar age from Clinical and Translational Medicine
#14
of 15 outputs
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