Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Jul 18;13:923031. doi: 10.3389/fimmu.2022.923031

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2022 Jia, Ga, Liu, Yang, Wang, Guo, Ma, Liu, Li, Tang and Wang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Discrimination and calibration of hepatocellular carcinoma (HCC) prediction models through transcriptomics analyses in the training dataset. (A) Receiver operating characteristic (ROC) curves and area under the curve (AUC) in the SPINK1, SPINK1 plus alpha-fetoprotein (AFP), and AFP models. (B–D) Calibration curves of AFP (B), SPINK1 (C), and SPINK1+AFP (D). (E) Clinical net benefits in the decision curve analysis (DCA) of SPINK1, SPINK1+AFP, and AFP. Yellow line indicates all HCC patients; middle and horizontal black line denotes non-HCC patients. (F–H) Comparison of the clinical benefits obtained from the clinical impact curve (CIC) analysis of each detection model.