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

Tumor Progression

Tumor Progression

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...

Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

You might also read

Related Articles

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

Sort by

Same author

Prognostic evaluation of Nanog, Oct4, Sox2, PCNA, Ki67 and E-cadherin expression in gastric cancer.

Medical oncology (Northwood, London, England)·2014

Same author

Immunological responses and protection in Chinese giant salamander Andrias davidianus immunized with inactivated iridovirus.

Veterinary microbiology·2014

Same author

Increased fermentation activity and persistent methanogenesis in a model aquifer system following source removal of an ethanol blend release.

Water research·2014

Same author

Assessment of bacterial and archaeal community structure in Swine wastewater treatment processes.

Microbial ecology·2014

Same author

Th17/Treg cells imbalance and GITRL profile in patients with Hashimoto's thyroiditis.

International journal of molecular sciences·2014

Same author

Simple way to obtain pH-sensitive drug release from functional mesoporous silica materials.

IET nanobiotechnology·2014

Search research articles

Related Experiment Video

Updated: Nov 6, 2025

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Gene expression profiles for an immunoscore model in bone and soft tissue sarcoma.

Jingyuan Fan¹, Xinyi Qin², Rongquan He³

¹Department of Orthopedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

|May 4, 2021

Summary

This study reveals immune cell infiltration impacts bone and soft tissue sarcoma prognosis. A novel immunoscore system shows promise for predicting patient survival, aiding in sarcoma classification and treatment strategies.

Keywords:

CIBERSORT K-means immune infiltrating lasso regression sarcoma

More Related Videos

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

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

Related Experiment Videos

Last Updated: Nov 6, 2025

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

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

Area of Science:

Oncology
Immunology
Bioinformatics

Background:

Immune infiltration is a key prognostic marker in solid tumors.
Research on immune components in bone and soft tissue sarcoma prognosis is limited.
This study addresses the need to understand immune influence on sarcoma outcomes.

Purpose of the Study:

To analyze how immune cell fractions affect prognosis in bone and soft tissue sarcomas.
To develop a novel immunoscore system for predicting sarcoma patient outcomes.
To identify immune signatures associated with survival in different sarcoma subtypes.

Main Methods:

Gene expression data from GEO, TCGA, and TARGET databases were analyzed.
Immune cell fractions were estimated using the CIBERSORT algorithm.
An immunoscore was constructed using LASSO Cox regression, and nomograms were developed.

Main Results:

Survival analysis revealed that higher proportions of CD8+ T cells, M1 macrophages, and mast cells correlated with favorable outcomes in soft tissue sarcoma (p=0.0018).
Immunoscore models were established for osteosarcoma and a soft tissue sarcoma subgroup (SAR2).
Higher immunoscores were independently associated with poor overall survival (p<0.0001) and higher scores in metastatic versus localized tumors (p<0.05).

Conclusions:

Immune cell fractions are valuable for classifying and predicting prognosis in bone and soft tissue sarcoma.
The developed immunoscore system demonstrates significant potential for improving survival prediction in sarcoma patients.