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

Cancer Survival Analysis01:21

Cancer Survival Analysis

345
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345
Tumor Progression02:07

Tumor Progression

6.3K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K

You might also read

Related Articles

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

Sort by
Same author

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration.

medRxiv : the preprint server for health sciences·2026
Same author

Diffusional aging at water/oil interfaces laden with charged nanoparticles studied by single-molecule tracking.

Nature communications·2026
Same author

Strength-Toughness-Wear Coupling Mechanisms of Low-Carbon Martensitic Wear-Resistant Steel Enabled by Ti/Nb Microalloying-Driven Carbide Precipitation and Synergistic Regulation of Tempered Microstructures.

Materials (Basel, Switzerland)·2026
Same author

RBM43 promotes glioma aggressiveness and shapes the immune microenvironment through macrophage polarization.

Discover oncology·2026
Same author

Integrated Network Pharmacology, Molecular Docking and Experimental Validation Reveal That Quercetin Suppresses Clear Cell Renal Cell Carcinoma via MMP9-Associated Macrophage Polarization.

Biomedicines·2026
Same author

Radiopharmaceutical-Guided Personalized Adjuvant Radiotherapy Planning after Esophageal Cancer Resection.

Cancer biotherapy & radiopharmaceuticals·2026

Related Experiment Video

Updated: Jun 29, 2025

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models
04:25

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models

Published on: October 28, 2021

9.2K

Advances in prognostic models for osteosarcoma risk.

Yi Yao1,2,3, Dapeng Wang1, Li Zheng1,2,3

  • 1Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China.

Heliyon
|April 8, 2024
PubMed
Summary
This summary is machine-generated.

New prognosis models for osteosarcoma are emerging due to advances in sequencing technology and data availability. This review evaluates their predictive performance and reliability for clinical application.

Keywords:
OsteosarcomaRisk-prognosis model

More Related Videos

A Syngeneic Orthotopic Osteosarcoma Sprague Dawley Rat Model with Amputation to Control Metastasis Rate
07:31

A Syngeneic Orthotopic Osteosarcoma Sprague Dawley Rat Model with Amputation to Control Metastasis Rate

Published on: May 3, 2021

3.6K
Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
08:07

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma

Published on: April 12, 2019

7.2K

Related Experiment Videos

Last Updated: Jun 29, 2025

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models
04:25

Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models

Published on: October 28, 2021

9.2K
A Syngeneic Orthotopic Osteosarcoma Sprague Dawley Rat Model with Amputation to Control Metastasis Rate
07:31

A Syngeneic Orthotopic Osteosarcoma Sprague Dawley Rat Model with Amputation to Control Metastasis Rate

Published on: May 3, 2021

3.6K
Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
08:07

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma

Published on: April 12, 2019

7.2K

Area of Science:

  • Oncology
  • Genomics
  • Biostatistics

Background:

  • Risk prognosis models are statistical tools used to predict disease development or clinical outcomes.
  • Osteosarcoma prognosis models are increasingly developed with advancements in large-scale second-generation sequencing.
  • Abundant clinical and biological data fuels the expansion of these predictive models.

Purpose of the Study:

  • To present the predictive effects and reliability of various osteosarcoma prognosis models.
  • To serve as a reference for the evaluation and application of these models in clinical practice.

Main Methods:

  • Review and analysis of existing osteosarcoma prognosis models.
  • Evaluation of predictive performance and reliability based on available data.
  • Assessment of candidate genes and their clinical utility.

Main Results:

  • Significant increase in the number of available osteosarcoma prognostic models.
  • Identification of numerous candidate genes for prognostic prediction.
  • Variability in the predictive effects and reliability across different models.

Conclusions:

  • Osteosarcoma prognosis models show promise for clinical stratification and risk assessment.
  • Further evaluation is needed to determine the optimal models for clinical application.
  • Advancements in sequencing and data integration are crucial for developing robust prognostic tools.