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

The Tumor Microenvironment02:17

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
The Tumor Microenvironment02:17

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Tumor Progression02:07

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 Progression02:07

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...

You might also read

Related Articles

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

Sort by
Same author

Armored macrophage-targeted CAR-T cells reset and reprogram the tumor microenvironment and control metastatic cancer growth.

Cancer cell·2026
Same author

Guardians at the border: Peritumoral macrophages fight breast cancer.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Plasminogen activator inhibitors orchestrate the immunosuppressive tumor microenvironment in pancreatic cancer.

bioRxiv : the preprint server for biology·2025
Same author

Spatial genomics uncovers cytokines promoting ovarian tumour heterogeneity and immunotherapy resistance.

Clinical and translational medicine·2025
Same author

Bispecific antibody targeting of lipid nanoparticles.

bioRxiv : the preprint server for biology·2025
Same author

Ovarian cancer-derived IL-4 promotes immunotherapy resistance.

Cell·2024
Same journal

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Cell reports methods·2026
Same journal

MalDeepSeq panel: A targeted ultra-deep sequencing approach to trace drug resistance markers in Plasmodium falciparum.

Cell reports methods·2026
Same journal

Induced pluripotent stem cell-derived macrophages enable broad modeling of human inflammasome signaling.

Cell reports methods·2026
Same journal

Rapid discovery of cell-surface glycosylation regulators using a lectin-based magnetic CRISPR screen.

Cell reports methods·2026
Same journal

A real-time FRET ubiquitin transfer assay for quantitative characterization of ternary complexes in targeted protein degradation.

Cell reports methods·2026
Same journal

A high-throughput, end-to-end pipeline for extracellular miRNA biomarker discovery from human biofluids.

Cell reports methods·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Spatial omics illuminates tumor heterogeneity.

Neha Srinivas1, Serap Erdogmus2, Gurkan Mollaoglu3

  • 1Department of Microbiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.

Cell Reports Methods
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

Intratumoral heterogeneity (ITH) drives cancer progression and treatment resistance. New spatial omics and functional genomics technologies are enabling a deeper understanding of complex tumor ecosystems and ITH mechanisms.

Keywords:
CP: cancer biologyCP: systems biology

More Related Videos

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
11:00

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

Related Experiment Videos

Last Updated: Jun 21, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
11:00

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

Area of Science:

  • Cancer Biology
  • Genomics
  • Proteomics

Background:

  • Intratumoral heterogeneity (ITH) is a key factor in cancer therapeutic resistance and disease progression.
  • Conventional methods struggle to capture the spatial and functional complexity of ITH.
  • Recent technological advancements offer new ways to dissect tumor ecosystems.

Purpose of the Study:

  • To review emerging technologies for studying ITH.
  • To highlight how integrating these methods redefines ITH research.
  • To discuss challenges and opportunities in spatial cancer biology.

Main Methods:

  • Single-cell and spatial omics
  • High-plex imaging
  • In vivo CRISPR perturbation and lineage tracing
  • Spatial proteomics and transcriptomics
  • Functional genomics
  • Clonal tracing

Main Results:

  • New technologies enable unprecedented mechanistic dissection of tumor ecosystems.
  • These methods reveal how cell-cell interactions, spatial organization, and clonal evolution influence tumor behavior and treatment response.
  • Integration of multimodal data is redefining the study of ITH.

Conclusions:

  • Emerging technologies are revolutionizing the study of intratumoral heterogeneity.
  • Addressing challenges in scalability, accessibility, and data integration is crucial.
  • The field is entering a new era of spatial cancer biology research.