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A transcriptome based molecular classification scheme for cholangiocarcinoma and subtype-derived prognostic biomarker
Zhongqi Fan1, Xinchen Zou2, Guangyi Wang1
1Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Nature Communications
|January 11, 2024
Summary
This study introduces a universal molecular classification for cholangiocarcinoma (CCA), identifying two subtypes with distinct features and survival outcomes. A novel 30-gene classifier and CORE-37 biomarker aid in predicting CCA subtype and prognosis.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Previous cholangiocarcinoma (CCA) molecular classifications were site-specific and overlooked tissue contamination.
- A universal classification and prognostic biomarker are needed for CCA across all anatomical locations.
Purpose of the Study:
- To establish a universal molecular classification scheme for cholangiocarcinoma (CCA).
- To identify a prognostic biomarker for CCA applicable across diverse anatomical sites.
- To develop a classifier for predicting CCA molecular subtypes.
Main Methods:
- Comprehensive bioinformatics analysis of transcriptomic data from 438 CCA cases.
- Identification and characterization of universal molecular subtypes after excluding normal tissue expression patterns.
- Development of a 30-gene classifier and a 37-biomarker (CORE-37) for subtype prediction and prognosis.
Main Results:
- Two distinct universal molecular subtypes of CCA were identified, exhibiting different molecular, clinical, and microenvironmental characteristics.
- The subtypes showed significantly different survival outcomes.
- A 30-gene classifier and the CORE-37 biomarker accurately predicted subtypes and prognosis, validated in external cohorts irrespective of stage or location.
Conclusions:
- This study presents a novel, universal molecular classification for cholangiocarcinoma that complements existing anatomical classifications.
- The developed 30-gene classifier and CORE-37 biomarker offer promising tools for clinical application in CCA subtype prediction and prognostic assessment.
