Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Validation of the Weibull-derived Gini coefficient for quantifying the inequality of the aboveground biomass distribution using 2815 culms from 50 bamboo species.

Frontiers in plant science·2026
Same author

Signals for mineralization and inflammation are observed following treatment with fasinumab, a specific nerve growth factor inhibitor.

Osteoarthritis and cartilage·2026
Same author

Assessment of the Immunological Effects of DNA Vaccines Carrying Antigen Genes for OVA, OMP and OVA-OMP Against Aeromonas hydrophila and Aeromonas caviae Infections in Sinocyclocheilus grahami and Oreochromis niloticus.

Journal of fish diseases·2026
Same author

Integrated multi-platform genetic profiling reveals dual molecular pathology in 46, XY disorders of sex development through NR5A1 Haploinsufficiency and maternal chromosome 15 UPD.

Human molecular genetics·2026
Same author

Confined Cationic Covalent Organic Cages Enable Oxidant-Free Hofmann-Löffler-Freytag/Cyclization Sequences.

Angewandte Chemie (International ed. in English)·2026
Same author

A Machine Learning Ensemble Framework for Carbon Price Prediction and Decision Support Under Information Structure Heterogeneity in Regional Carbon Markets in China.

Entropy (Basel, Switzerland)·2026

Related Experiment Video

Updated: May 30, 2025

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
10:51

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer

Published on: January 5, 2021

4.6K

The construction of a breast cancer prognostic model by combining genes related to hypoxia and endoplasmic reticulum

Guohua Liu1, Yuan Shi1, Jing Wang1

  • 1Department of the Third General Surgery, Anyang Tumor Hospital, Anyang, Henan, China.

Computer Methods in Biomechanics and Biomedical Engineering
|January 27, 2025
PubMed
Summary

This study developed a prognostic model using 8 hypoxia and endoplasmic reticulum stress (ERS) genes to predict breast cancer patient outcomes and guide personalized treatment strategies.

Keywords:
Breast cancergene expression Omnibusimmunityprognosisthe cancer Genome Atlas

More Related Videos

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
12:03

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

Published on: December 9, 2016

12.4K
Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
07:45

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer

Published on: May 18, 2020

5.9K

Related Experiment Videos

Last Updated: May 30, 2025

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
10:51

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer

Published on: January 5, 2021

4.6K
In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
12:03

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

Published on: December 9, 2016

12.4K
Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
07:45

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer

Published on: May 18, 2020

5.9K

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Breast cancer (BC) poses a significant health challenge, necessitating improved prognostic tools.
  • Hypoxia and endoplasmic reticulum stress (ERS) are implicated in BC progression and treatment resistance.

Purpose of the Study:

  • To develop a prognostic model for breast cancer (BC) patients utilizing genes associated with hypoxia and endoplasmic reticulum stress (ERS).
  • To investigate the relationship between risk groups, immune infiltration, and gene mutations in BC.
  • To identify potential therapeutic targets and drug sensitivities based on gene expression.

Main Methods:

  • Downloaded RNA-seq and clinical data from TCGA and GEO databases.
  • Collected hypoxia and ERS-related genes from Genecards.
  • Employed Cox regression, Lasso regression, CIBERSORT, and CellMiner for analysis.

Main Results:

  • An 8-gene prognostic model was constructed, identifying high-risk (HR) and low-risk (LR) BC patient groups.
  • HR group patients exhibited significantly worse prognosis and higher TP53 mutation frequency.
  • Increased infiltration of Macrophages M0 and Tregs was observed in HR patients.
  • Drug sensitivity analysis revealed correlations between gene expression and sensitivity to specific drugs (e.g., COLCHICINE, Vincristine).

Conclusions:

  • The 8-gene prognostic model effectively predicts survival and immune status in BC patients.
  • This model offers insights into potential drug sensitivities, supporting individualized treatment approaches for breast cancer.
  • The findings provide a novel perspective for personalized BC management.