Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 23, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Prognostic genes in hepatocellular carcinoma and their function: an analysis integrating high-throughput-based

Yumei Zhang¹, Yu Yao², Zongcai Yan¹

¹Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.

Journal of Gastrointestinal Oncology

|May 22, 2026

Summary

Related Concept Videos

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The distinct effects of metabolic syndrome on negative symptoms and on antipsychotic therapy of schizophrenia involve insular volume, functional connectivity, and genetic polymorphisms.

Translational psychiatry·2026

Same author

Multimodal opioid-free anesthesia containing esketamine versus opioid-based anesthesia: a systematic review and meta-analysis.

BMC anesthesiology·2026

Same author

Multimodal clocks of human aging.

Cell·2026

Same author

Efficacy and safety of Guanylyl cyclase C agonists (linaclotide and plecanatide) in patients with irritable bowel syndrome with constipation: a systematic review and meta-analysis of randomized controlled trials.

Frontiers in pharmacology·2026

Same author

A frontotemporal free water signature associated to interleukin-8 and cognitive impairment in schizophrenia with comorbidity of metabolic syndrome.

Brain, behavior, & immunity - health·2026

Same author

Declined connectivity of thalamus and dorsomedial prefrontal cortex in post-stroke cognitive impairment delineated by lesion network mapping.

Brain communications·2026

This study identified seven prognostic genes and key cell types in hepatocellular carcinoma (HCC). These findings led to a risk model and nomogram to predict patient survival and potential immunotherapy response in HCC.

Area of Science:

Oncology
Genomics
Immunology

Background:

Identifying novel prognostic indicators is crucial for improving patient outcomes in hepatocellular carcinoma (HCC).
Mapping the spatial composition of HCC tumors presents a significant challenge in current research.
Integrating spatial transcriptome sequencing (ST-seq) and single-cell RNA sequencing (scRNA-seq) offers a promising approach to address these challenges.

Purpose of the Study:

To identify novel prognostic genes in HCC by integrating ST-seq and scRNA-seq data.
To assess the role of identified prognostic genes in HCC progression and patient outcomes.
To develop a predictive model for HCC prognosis and potential immunotherapy response.

Main Methods:

Utilized HCC datasets (TCGA-HCC, ICGC-HCC, GSE149614, GSE203612) for single-cell and spatial transcriptome analyses.

Keywords:

Hepatocellular carcinoma (HCC)single-cell RNA sequencing (scRNA-seq)spatial transcriptomics tumor microenvironment

Related Experiment Videos

Last Updated: May 23, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Performed cell communication analysis, LASSO Cox regression for prognostic gene selection, and constructed a risk model and nomogram.

Analyzed immune microenvironment, immunotherapy response, and developmental trajectories using pseudotime analysis.

Main Results:

Identified hepatocytes and T/NK cells as key cell types, with hepatocytes showing stronger interactions.
Discovered seven prognostic genes (three downregulated: ADH4, IGFBP3, LCAT; four upregulated: AKR1B10, GAGE2A, MAGEA6, UCHL1).
Developed a predictive risk model and nomogram demonstrating good prognostic ability; UCHL1 correlated with T/NK cell abundance and high-risk status suggested reduced immunotherapy sensitivity.

Conclusions:

Identified hepatocytes, T/NK cells, and seven prognostic genes for HCC.
Developed a risk model and nomogram for predicting HCC patient prognosis.
Computational predictions suggest high-risk HCC patients may respond poorly to immunotherapy, offering potential clinical tools.