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

Adaptive Mechanisms in Cancer Cells

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

Adaptive Mechanisms in Cancer Cells

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

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 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...

Cancer Survival Analysis

Cancer Survival Analysis

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...

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

You might also read

Related Articles

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

Sort by

Same author

Tumoral switch in NUMB splicing changes essential transcription pathways and induces malignant properties in tumour cells.

Genome biology·2026

Same author

HOOK2 downregulation compromises the tumorigenic and stemness properties of ovarian cancer cells by increasing endoplasmic reticulum stress.

Cell death & disease·2026

Same author

The Role of Microbiota in Ovarian Cancer: Implications for Treatment Response and Therapeutic Strategies.

Cells·2025

Same author

Integrative multi-omic analysis reveals a PAX8-driven gene network linking tumor stemness to therapy response in ovarian cancer.

NAR genomics and bioinformatics·2025

Same author

Efficacy of NAMPT Inhibitors in Pancreatic Cancer After Stratification by MAP17 (PDZK1IP1) Levels.

Cancers·2025

Same author

Interleukin-11 promotes lung adenocarcinoma tumourigenesis and immune evasion.

Clinical and translational medicine·2025

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Artificial Intelligence in Tumor Evolution: Understanding Cancer Complexity Through Multi-Modal Data Integration in

Asunción Espinosa-Sánchez^1,2, Amancio Carnero^1,2

¹Instituto de Biomedicina de Sevilla (IBIS), HUVR/CSIC/Universidad de Sevilla, 41013 Sevilla, Spain.

|June 11, 2026

Summary

This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing cancer research by decoding tumor complexity. AI models integrate multi-omics, imaging, and clinical data to understand tumor evolution, resistance, and metastasis for improved patient outcomes.

Keywords:

adaptive therapy clonal evolution convolutional neural networks deep learning evolutionary game theory evolutionary oncology intratumoral heterogeneity multi-omics integration precision oncology single-cell transcriptomics spatial transcriptomics tumor microenvironment

More Related Videos

Bilayer Microfluidic Device for Combinatorial Plug Production

Bilayer Microfluidic Device for Combinatorial Plug Production

Published on: December 1, 2023

Related Experiment Videos

Last Updated: Jun 12, 2026

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Bilayer Microfluidic Device for Combinatorial Plug Production

Bilayer Microfluidic Device for Combinatorial Plug Production

Published on: December 1, 2023

Area of Science:

Oncology
Bioinformatics
Medical Imaging

Background:

Cancer research is increasingly leveraging artificial intelligence (AI) to address challenges in understanding tumor biology.
Tumor evolution, heterogeneity, resistance, and metastasis remain significant hurdles in oncology.
Conventional methods struggle to capture the dynamic complexity of tumor processes.

Purpose of the Study:

To explore the transformative role of AI in cancer research, particularly in decoding tumor complexity and evolution.
To highlight AI's capability in integrating multi-modal data for a comprehensive understanding of cancer.
To discuss the potential of AI in developing advanced therapeutic strategies and personalized medicine.

Main Methods:

AI models are utilized for multi-modal data integration (multi-omics, imaging, clinical data).
Deep learning techniques are applied in medical imaging for tumor segmentation and monitoring.
AI tools are employed in functional genomics to predict genetic variant effects and map pathways.

Main Results:

AI facilitates pattern recognition connecting molecular alterations with phenotypic outcomes.
AI enhances tumor characterization, monitoring, and prediction of treatment response.
AI aids in biomarker discovery, patient stratification, and clinical trial optimization.

Conclusions:

AI offers powerful tools to decode tumor complexity, understand evolution, and overcome resistance.
AI-driven insights can accelerate the development of adaptive and personalized cancer therapies.
Responsible AI deployment in oncology requires addressing ethical considerations like data privacy and bias.