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

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Repurposing the hERG activator NS-1643 as a ferroptosis-targeting therapeutic against doxorubicin cardiotoxicity.

Free radical biology & medicine·2026

Same author

hUC-MSC Combined with DHEA Alleviates Ovarian Senescence in Naturally Aging Mice through Enhancing Antioxidant Capacity and Inhibiting Inflammatory Response.

Stem cells international·2024

Same author

Human Umbilical Cord Mesenchymal Stem Cells Combined with Dehydroepiandrosterone Inhibits Inflammation-Induced Uterine Aging in Mice.

Stem cells and development·2024

Same author

Characteristics, differential diagnosis, individualized treatment, and prevention of hyperhomocysteinemia in newborns.

European journal of medical genetics·2023

Same author

Amniotic fluid karyotype analysis and prenatal diagnosis strategy of 3117 pregnant women with amniocentesis indication.

Journal of comparative effectiveness research·2023

Same author

Application of Human Umbilical Cord Mesenchymal Stem Cells in Rat Spinal Cord Injury Model.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2023

Search research articles

Related Experiment Video

Updated: Mar 21, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

Jian-Ou Du¹, Qing-Ke Huang², Xue-Cheng Sun²

¹Department of Gastroenterology, Yongjia County Traditional Chinese Medicine Hospital, Yongjia, China.

Science Progress

|March 19, 2026

Summary

This study reveals disulfidptosis and anoikis are key in colon cancer progression. A new colon cancer death index (CCDI) shows prognostic value, identifying potential therapeutic targets.

Keywords:

Colon cancer anoikis disulfidptosis prognosis programed cell death

More Related Videos

Author Spotlight: Understanding Cytokine-Induced Cell Death in Intestinal Epithelial Cells Using Human Organoids

Author Spotlight: Understanding Cytokine-Induced Cell Death in Intestinal Epithelial Cells Using Human Organoids

Published on: August 2, 2024

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

Related Experiment Videos

Last Updated: Mar 21, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Author Spotlight: Understanding Cytokine-Induced Cell Death in Intestinal Epithelial Cells Using Human Organoids

Author Spotlight: Understanding Cytokine-Induced Cell Death in Intestinal Epithelial Cells Using Human Organoids

Published on: August 2, 2024

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

Area of Science:

Oncology
Molecular Biology
Genomics

Background:

Colon cancer is a leading global malignancy with poor prognosis in advanced stages.
Programmed cell death (PCD) is crucial in colon cancer, but its regulatory network is not fully understood.

Purpose of the Study:

To systematically analyze the PCD regulatory network in colon cancer.
To develop a novel prognostic index for colon cancer based on PCD patterns.

Main Methods:

Analysis of bulk and single-cell transcriptomic data from GEO and TCGA.
Application of machine learning algorithms to identify key PCD patterns and construct a combined cell death index (CCDI).
Functional enrichment, immune infiltration, nomogram, and pseudotime trajectory analyses.

Main Results:

Disulfidptosis and anoikis were identified as critical PCD patterns impacting colon cancer prognosis.
The novel CCDI model demonstrated superior prognostic prediction compared to existing models.
Disulfidptosis and anoikis were enriched in endothelial cells (ECs), with six key genes identified as regulators of ECs phenotypic transition.

Conclusions:

Disulfidptosis and anoikis play significant roles in colon cancer, and the CCDI offers valuable prognostic insights.
The study provides new therapeutic targets by elucidating ECs phenotypic transition and regulatory genes in colon cancer.