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Updated: Jul 6, 2026

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

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Published on: August 7, 2020

Development and Validation of a Crotonylation-Related Prognostic Risk Model for Cholangiocarcinoma Based on

Xinlei He^1,2, Mingyue Lv^1,2, Jiamin Chen^1,2

¹Department of Oncology, Research Center of Cancer Diagnosis and Therapy, The First Affiliated Hospital of Jinan University, 613 Huangpu Avenue West, Guangzhou, 510632, People's Republic of China.

Digestive Diseases and Sciences

|July 4, 2026

Summary

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This summary is machine-generated.

Researchers identified three key genes (CFH, PEMT, YWHAE) linked to crotonylation that predict outcomes in cholangiocarcinoma (CCA). This discovery aids in developing new diagnostic and prognostic tools for CCA, potentially improving immunotherapy strategies.

Area of Science:

Oncology
Biochemistry
Genetics

Background:

Cholangiocarcinoma (CCA) is a challenging cancer with poorly understood progression markers.
Lysine crotonylation is an emerging modification linked to various diseases.

Purpose of the Study:

To identify prognostic genes related to lysine crotonylation in CCA.
To develop a risk model for predicting CCA patient outcomes.

Main Methods:

Differential gene expression analysis using TCGA-CHOL and GSE26566 datasets.
Weighted Gene Co-expression Network Analysis (WGCNA) to identify key modules.
Intersection analysis to pinpoint candidate prognostic genes.

Main Results:

Three prognostic genes—CFH, PEMT, and YWHAE—were identified and used to build a risk model.

Keywords:

Cholangiocarcinoma Lysine crotonylation‐related genes Prognostic characteristics Risk model

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Last Updated: Jul 6, 2026

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

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Published on: August 7, 2020

Significant differences in mast cell abundance were observed between high- and low-risk groups.

Expression levels of immune checkpoints FLT3 and CTLA-4 varied between risk groups.

Conclusions:

The identified genes offer potential biomarkers for CCA diagnosis and prognosis.
These findings provide a foundation for enhancing CCA immunotherapy.
The study supports improved diagnostic and prognostic assessments for cholangiocarcinoma.