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

Tumor Progression02:07

Tumor Progression

6.4K
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...
6.4K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.6K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Hematopoietic mosaic chromosomal alterations are pleiotropic drivers of inflammaging, multimorbidity, and mortality.

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

Foveal crowding and segmentation effects in adults with ADHD.

Vision research·2026
Same author

Product-Intrinsic NF-κB-Driven Transcriptional Programs Connote Durability of CAR-T Response in Multiple Myeloma.

Blood·2026
Same author

Integrated Genomic and Epigenomic Analysis Reveals Epigenetic Plasticity in Disease Progression and Multidrug Resistance in Multiple Myeloma.

Cancer research·2026
Same author

Which evolutionary game-theoretic model best captures NSCLC dynamics?

PloS one·2026
Same author

A MAFG~MITF complex drives melanoma phenotype switching and progression.

Nature communications·2026

Related Experiment Video

Updated: Aug 15, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
07:59

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

1.2K

Evolutionary Analysis of TCGA Data Using Over- and Under- Mutated Genes Identify Key Molecular Pathways and Cellular

Audrey R Freischel1,2, Jamie K Teer2,3, Kimberly Luddy1,4

  • 1Departments of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA.

Cancers
|January 8, 2023
PubMed
Summary

This study reveals how gene mutations impact cancer fitness, identifying key genes conserved or altered in lung adenocarcinoma subtypes. These findings offer insights into cancer evolution and potential therapeutic targets.

Keywords:
EGFRKRAScancer cell fitnesscancer geneticsevolutionary triagelung cancer

More Related Videos

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

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

Published on: July 3, 2025

199
Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

24.5K

Related Experiment Videos

Last Updated: Aug 15, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
07:59

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

1.2K
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

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

Published on: July 3, 2025

199
Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

24.5K

Area of Science:

  • Evolutionary biology
  • Genomics
  • Cancer research

Background:

  • Gene mutations are central to cancer development.
  • Understanding mutation patterns is crucial for targeted therapies.
  • Cancer evolution involves complex genetic and epigenetic changes.

Purpose of the Study:

  • To develop a theoretical model linking gene fitness contribution to mutational frequency.
  • To apply this model to identify critical conserved and mutated genes in lung adenocarcinoma subtypes.
  • To explore subtype-specific co-adaptations and epigenetic contributions to cancer evolution.

Main Methods:

  • Theoretical modeling of gene fitness and mutational frequency.
  • Application of the 'evolutionary triage' principle to TCGA data.
  • Analysis of EGFR-mutant, KRAS-mutant, and non-EGFR/KRAS lung adenocarcinomas.
  • Comparison of conserved and mutated gene patterns across subtypes.

Main Results:

  • Driver mutations increase fitness and are more frequent than expected.
  • Essential genes with non-synonymous mutations are selected against.
  • Frequent overlap of selected mutations suggests adaptation to common tissue selection forces.
  • Conserved genes show rare overlap, indicating selection depends on initiating mutations.
  • Highly expressed genes are more likely conserved; expression changes accompany selected mutations.
  • EGFR-mut cancers have fewer mutations than KRAS-mut and NEK subtypes.
  • Subtype-specific genes identified in cell signaling, ECM remodeling, and transporters.

Conclusions:

  • Evolutionary triage principle effectively identifies critical genes in cancer.
  • Subtype-specific co-adaptations between driver mutations and conserved genes exist.
  • Insights into epigenetic and genetic contributions to cancer evolution are provided.
  • Identification of critical molecular components in lung adenocarcinoma subtypes.