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

8.0K
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...
8.0K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

7.5K
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,...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Open resection versus arthroscopic resection for wrist ganglion cysts: A systematic review and meta-analysis.

Journal of orthopaedic surgery (Hong Kong)·2026
Same author

A PBD-dimer containing antibody drug conjugate targeting CCRL2 for high-risk MDS/AML including TP53-mutated disease.

Blood advances·2026
Same author

The Polyhedral Matrix Configuration (PMC) Technique: A Retrospective Cohort Study of Geometric Standardization of Acellular Dermal Matrix Wrapping and Operative Efficiency in Prepectoral Breast Reconstruction.

Journal of clinical medicine·2026
Same author

Protective properties of a candidate C-terminal domain OspA vaccine for prevention of Lyme disease.

Vaccine·2026
Same author

Chronic alcohol consumption drives inflammaging and transposon derepression in hematopoietic stem and progenitor cells.

bioRxiv : the preprint server for biology·2026
Same author

Short-Term Effects of Maternal Cannabis Use on Human Milk Macronutrient Composition: The Lactation and Cannabis (LAC) Study.

Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine·2025

Related Experiment Video

Updated: Apr 13, 2026

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
08:53

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

Published on: November 3, 2014

16.8K

Characterizing metabolic changes in human colorectal cancer.

Michael D Williams1, Xing Zhang, Jeong-Jin Park

  • 1Department of Chemistry, Washington State University, Pullman, WA, 99164, USA.

Analytical and Bioanalytical Chemistry
|May 7, 2015
PubMed
Summary

This study identifies distinct metabolic profiles in colorectal cancer (CRC) using mass spectrometry. These metabolic signatures could lead to new diagnostic tools for early CRC detection and prevention.

More Related Videos

Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer
28:15

Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer

Published on: July 28, 2010

12.8K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

1.0K

Related Experiment Videos

Last Updated: Apr 13, 2026

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
08:53

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

Published on: November 3, 2014

16.8K
Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer
28:15

Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer

Published on: July 28, 2010

12.8K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

1.0K

Area of Science:

  • Metabolomics and Cancer Research
  • Biomarker Discovery for Colorectal Cancer (CRC)

Background:

  • Colorectal cancer (CRC) is a leading cause of cancer death globally, emphasizing the need for improved early detection and diagnostic methods.
  • Metabolomics offers a promising approach to understand cancer metabolism and identify diagnostic or prognostic biomarkers, but standardized methods are still evolving.

Purpose of the Study:

  • To develop and validate a rapid metabolomic profiling method for distinguishing colorectal cancer (CRC) from non-neoplastic tissues.
  • To identify specific metabolic alterations associated with different stages of CRC progression.
  • To explore the potential of identified metabolites as diagnostic tools or therapeutic targets for CRC.

Main Methods:

  • Utilized direct infusion traveling wave ion mobility mass spectrometry (IMMS) for rapid and efficient metabolomic analysis of colon tissue samples.
  • Employed partial least squares discriminant analysis (PLS-DA) for statistical differentiation of metabolic profiles between sample groups.
  • Identified key differentiating metabolites (m/z features) by cross-referencing with the human metabolome database.

Main Results:

  • Successfully distinguished metabolic profiles of CRC tumors from matched non-neoplastic colonic epithelium.
  • Identified distinct metabolic signatures differentiating primary tumors across various stages (T1-T4) and metastatic samples.
  • Revealed significant alterations in fatty acid biosynthesis, oxidative, glycolytic, and polyamine pathways in CRC.

Conclusions:

  • Colonic epithelial cells undergo significant metabolic reprogramming during CRC development.
  • The identified distinct metabolites show potential as biomarkers for CRC diagnosis and risk stratification.
  • These findings support the use of metabolomics for developing novel therapeutic strategies and primary prevention approaches for CRC.