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 Experiment Videos

p53 mutations in human cancers.

M Hollstein1, D Sidransky, B Vogelstein

  • 1Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892.

Science (New York, N.Y.)
|July 5, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Erratum to "Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation" [Diagn. Interv. Imaging. 101 (2020) 35-44].

Diagnostic and interventional imaging·2020
Same author

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features.

Diagnostic and interventional imaging·2020
Same author

Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis.

Diagnostic and interventional imaging·2019
Same author

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.

Diagnostic and interventional imaging·2019
Same author

Circulating tumor DNA as a potential marker of adjuvant chemotherapy benefit following surgery for localized pancreatic cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2019
Same author

Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2015
Same journal

Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

Science (New York, N.Y.)·2026
Same journal

Local signals, systemic decline.

Science (New York, N.Y.)·2026
Same journal

The mechanics of liver regeneration.

Science (New York, N.Y.)·2026
Same journal

Computing in a memory with physics.

Science (New York, N.Y.)·2026
Same journal

Retraction.

Science (New York, N.Y.)·2026
Same journal

Making time.

Science (New York, N.Y.)·2026
See all related articles

p53 gene mutations are frequent in human cancers, with distinct mutation patterns observed across different cancer types. These p53 mutation spectrum differences offer insights into cancer causes and the tumor suppressor gene's function.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Mutations in the p53 tumor suppressor gene are prevalent across various human cancers.
  • The p53 gene is crucial for maintaining genomic stability and preventing tumor formation.

Purpose of the Study:

  • To analyze the distinct p53 mutational spectra in different human cancer types.
  • To investigate how p53 mutation patterns can elucidate tumor etiology and gene function.

Main Methods:

  • Comparative analysis of p53 gene mutations across diverse cancer types (colon, lung, esophagus, breast, liver, brain, lymphoid, hemopoietic).
  • Categorization of mutation types (transitions, transversions) and their locations (CpG hotspots, specific codons).

Main Results:

Related Experiment Videos

  • Distinct p53 mutational signatures were identified for different cancers.
  • Transitions were common in colon, brain, and lymphoid cancers; G:C to T:A transversions predominated in lung and liver cancers.
  • Specific mutations, like those at codon 249 in liver cancer, correlated with etiological factors such as aflatoxin B1 and hepatitis B virus.

Conclusions:

  • The heterogeneity of p53 mutations reflects diverse etiological factors, both exogenous and endogenous, contributing to human carcinogenesis.
  • Understanding these mutation patterns aids in deciphering cancer origins and the functional significance of p53 regions.