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

Targeted Cancer Therapies

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...

You might also read

Related Articles

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

Sort by

Same author

MSAdaNet: An Adaptive Multi-Scale Network for Surface Defect Detection of Smartphone Components.

Sensors (Basel, Switzerland)·2026

Same author

Transcriptome and microRNAome profiling of human skeletal muscle in pancreatic cancer cachexia.

medRxiv : the preprint server for health sciences·2025

Same author

Feature distance-weighted adaptive decoupled knowledge distillation for medical image segmentation.

International journal of computer assisted radiology and surgery·2025

Same author

A high-resolution view of the immune and stromal cell response to <i>Haemophilus ducreyi</i> infection in human volunteers.

mBio·2025

Same author

Establishing Healthy Breath Baselines With Tin Oxide Sensors: Fundamental Building Blocks for Noninvasive Health Monitoring.

Military medicine·2024

Same author

Author Correction: Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis.

NPJ breast cancer·2024

Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026

Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026

Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026

Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026

Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026

Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 16, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

Co-expression based cancer staging and application.

Xiangchun Yu^1,2,3, Sha Cao⁴, Yi Zhou²

¹College of Computer Science and Technology, Jilin University, Changchun, China.

Scientific Reports

|July 2, 2020

Summary

This summary is machine-generated.

This study introduces a new computational method for cancer staging using gene co-expression patterns. This approach accurately predicts cancer stages, offering insights into cancer progression and functional changes.

More Related Videos

Development of Compendium for Esophageal Squamous Cell Carcinoma

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

Published on: November 14, 2025

Related Experiment Videos

Last Updated: Dec 16, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

Development of Compendium for Esophageal Squamous Cell Carcinoma

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

Published on: November 14, 2025

Area of Science:

Genomics
Computational Biology
Cancer Research

Background:

Cancer staging is crucial for treatment and prognosis.
Current staging methods can be subjective and time-consuming.
Understanding cancer progression requires analyzing functional changes across stages.

Purpose of the Study:

To develop a novel computational method for predicting cancer tissue stage.
To leverage gene co-expression patterns for accurate cancer staging.
To enable the study of cancer functional evolution during progression.

Main Methods:

A novel method based on consistency of co-expression patterns between samples.
Comparing gene co-expression patterns in a given sample to reference stages.
Utilizing R source code for computational analysis.

Main Results:

The developed method accurately predicts cancer stages.
Prediction accuracy is comparable to or better than manual pathological staging.
Identified stage-specific functional losses and gains during cancer advancement.

Conclusions:

This represents the first computational method for accurate cancer sample staging.
The method facilitates the study of cancer functional dynamics.
Provides new insights into cancer progression and molecular alterations.