Abstract 1088: LiverSCA 2.0: An enhanced and comprehensive cell atlas of human hepatocellular carcinoma, intrahepatic cholangiocarcinoma and metabolic dysfunction-associated steatotic liver disease/steatohepatitis

Abstract Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are two distinct types of primary liver cancer (PLC) characterized by a considerable degree of cellular and molecular heterogeneity. We recently developed a web-based cell atlas called LiverSCA with a user-friendly interface, comprehensive functionality, and a complete set of analytical pipelines. In the previous version, LiverSCA includes 40 subjects (35 HCC patients with various etiological risk factors and five healthy controls) with a total cell count of more than 140, 000 cells. It facilitates the exploration of gene expression patterns, cellular composition, and intercellular communication in the liver and PLC tumor microenvironment, aiming to help researchers discover new mechanistic insights into the complex tumor microenvironment of HCC. To further enhance the comprehensiveness of LiverSCA, we have expanded its catalog with additional datasets of different phenotypes/subtypes of liver and PLC, such as intrahepatic cholangiocarcinoma (ICC) and metabolic dysfunction-associated fatty liver disease/steatosis (MASLD/MASH). The current enhanced version of the LiverSCA cell atlas contains six phenotypes (normal, HBV-HCC, HCV-HCC, non-viral HCC, ICC, and MASH), encompassing 63 patients and more than 248, 000 cells. In addition, we have incorporated a comparative visualization method that allows users to simultaneously examine and compare gene expression levels between two different phenotypes. We are committed to the continued development of LiverSCA to narrow the knowledge gap between different research fields and accelerate knowledge transfer in the scientific community. We envision that it will become a valuable resource that supports researchers to conveniently study the cellular and molecular landscape of the liver and PLCs. In addition, as scRNA-seq technology is still rapidly evolving, more features, such as spatial transcriptomics and multimodal omics, will be considered in future updates. Citation Format: Fanhong Zeng, Renwen Long, Tina Suoangbaj, Irene Oi-Lin Ng, Daniel Wai-Hung Ho. LiverSCA 2.0: An enhanced and comprehensive cell atlas of human hepatocellular carcinoma, intrahepatic cholangiocarcinoma and metabolic dysfunction-associated steatotic liver disease/steatohepatitis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1088.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-1088
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 1088: LiverSCA 2.0: An enhanced and comprehensive cell atlas of human hepatocellular carcinoma, intrahepatic cholangiocarcinoma and metabolic dysfunction-associated steatotic liver disease/steatohepatitis

Daniel Wai‐Hung Ho, Fanhong Zeng, Irene Oi‐Lin Ng, Renwen Long et al.
Cancer Research
Liver Disease Diagnosis and Treatment
article

Abstract 1088: LiverSCA 2.0: An enhanced and comprehensive cell atlas of human hepatocellular carcinoma, intrahepatic cholangiocarcinoma and metabolic dysfunction-associated steatotic liver disease/steatohepatitis

Daniel Wai‐Hung Ho, Fanhong Zeng, Irene Oi‐Lin Ng, Renwen Long, Tina Suoangbaj
article en

Abstract

Abstract Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are two distinct types of primary liver cancer (PLC) characterized by a considerable degree of cellular and molecular heterogeneity. We recently developed a web-based cell atlas called LiverSCA with a user-friendly interface, comprehensive functionality, and a complete set of analytical pipelines. In the previous version, LiverSCA includes 40 subjects (35 HCC patients with various etiological risk factors and five healthy controls) with a total cell count of more than 140, 000 cells. It facilitates the exploration of gene expression patterns, cellular composition, and intercellular communication in the liver and PLC tumor microenvironment, aiming to help researchers discover new mechanistic insights into the complex tumor microenvironment of HCC. To further enhance the comprehensiveness of LiverSCA, we have expanded its catalog with additional datasets of different phenotypes/subtypes of liver and PLC, such as intrahepatic cholangiocarcinoma (ICC) and metabolic dysfunction-associated fatty liver disease/steatosis (MASLD/MASH). The current enhanced version of the LiverSCA cell atlas contains six phenotypes (normal, HBV-HCC, HCV-HCC, non-viral HCC, ICC, and MASH), encompassing 63 patients and more than 248, 000 cells. In addition, we have incorporated a comparative visualization method that allows users to simultaneously examine and compare gene expression levels between two different phenotypes. We are committed to the continued development of LiverSCA to narrow the knowledge gap between different research fields and accelerate knowledge transfer in the scientific community. We envision that it will become a valuable resource that supports researchers to conveniently study the cellular and molecular landscape of the liver and PLCs. In addition, as scRNA-seq technology is still rapidly evolving, more features, such as spatial transcriptomics and multimodal omics, will be considered in future updates. Citation Format: Fanhong Zeng, Renwen Long, Tina Suoangbaj, Irene Oi-Lin Ng, Daniel Wai-Hung Ho. LiverSCA 2.0: An enhanced and comprehensive cell atlas of human hepatocellular carcinoma, intrahepatic cholangiocarcinoma and metabolic dysfunction-associated steatotic liver disease/steatohepatitis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1088.

Cancer ResearchVol. 85(8_Supplement_1)
University of Hong Kong (HK)
Openalex Percentile: Top 88%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.