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

Reliability and Validity01:29

Reliability and Validity

14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Lung Capacity01:47

Lung Capacity

56.4K
The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.4K
C4 Pathway and CAM01:27

C4 Pathway and CAM

49.3K
Most plants use the C3 pathway for carbon fixation. However, some plants, such as sugar cane, corn, and cacti that grow in hot conditions, use alternative pathways to fix carbon and conserve energy loss due to photorespiration. Photorespiration is the process that occurs when the oxygen concentration is high. Under such conditions, the rubisco enzyme in the Calvin cycle binds O2 instead of CO2, which halts photosynthesis and consumes energy.
C4 Pathway
The C4 pathway is used by plants such as...
49.3K
Exponential Functions with Base e01:30

Exponential Functions with Base e

264
Exponential functions with base e are essential for modeling continuous processes of growth and decay. The constant e, approximately 2.718, naturally arises in systems where change occurs proportionally to the current value. A positive exponent represents continuous growth, while a negative exponent represents continuous decay. These functions are especially useful for describing situations where change happens smoothly over time rather than in discrete steps.One clear example of exponential...
264
Data Validation01:15

Data Validation

2.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.3K
Data Validation01:03

Data Validation

7.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Structural and Functional Alterations of Microbiome in Upper and Lower Respiratory Tract in Patients With NSCLC.

Cancer control : journal of the Moffitt Cancer Center·2026
Same author

Nuclear prostaglandin E synthase 3 promotes hepatocellular carcinoma growth with immunosuppressive macrophage polarization via the SP1/TGF-β axis.

Molecular biomedicine·2026
Same author

Integrated methylome analysis identifies an epigenetically silenced tumor suppressor RASA4 in small cell lung cancer.

Communications biology·2025
Same author

ProjectSVR: mapping single-cell RNA-seq data to reference atlases by supported vector regression.

Briefings in bioinformatics·2025
Same author

Genetic and Functional Evidence Links Germline Biallelic Inactivating Variants in WWOX to Histological Mixed-Type Thyroid Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

NEDD4 is a biomarker of a poor prognosis that contributes to the progression and chemoresistance in small cell lung cancer.

Cell cycle (Georgetown, Tex.)·2025

Related Experiment Video

Updated: Feb 14, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.2K

A TP53-Pathway-Based Prognostic Signature for Radiotherapy and Functional Validation of TP53I3 in Non-Small-Cell Lung

Xiang Huang1,2, Li Jiao2, Xu Cheng2

  • 1University of Science and Technology of China, Hefei 230052, China.

Cancers
|February 13, 2026
PubMed
Summary

This study developed a five-gene signature from the TP53 signaling pathway to predict outcomes for non-small-cell lung cancer (NSCLC) patients receiving radiation therapy. This model aids in stratifying patients and personalizing treatment for better prognosis.

Keywords:
TP53 signaling pathwayTP53I3nomogramsnon-small-cell lung cancerprognosisradiotherapy

More Related Videos

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.6K
Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
09:45

Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines

Published on: August 21, 2019

7.5K

Related Experiment Videos

Last Updated: Feb 14, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.2K
Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.6K
Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
09:45

Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines

Published on: August 21, 2019

7.5K

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Predicting non-small-cell lung cancer (NSCLC) patient prognosis after radiation therapy is challenging due to patient heterogeneity.
  • The TP53 signaling pathway is crucial for tumor radiosensitivity and treatment response, making it a potential predictive biomarker.

Purpose of the Study:

  • To identify TP53-signaling pathway-related genes for NSCLC.
  • To develop a prognostic model for risk stratification in NSCLC patients undergoing radiation therapy.

Main Methods:

  • Utilized bioinformatics to analyze NSCLC transcriptomic data from GEO and TCGA databases.
  • Identified TP53-signaling pathway-related differentially expressed genes (DEGs).
  • Constructed a prognostic model using LASSO regression and multivariate Cox regression, validated in vitro and in vivo.

Main Results:

  • A five-gene signature (MDM2, THBS1, TP53I3, ATM, SESN3) was developed, showing high predictive accuracy (5-year AUC 0.828).
  • The model effectively stratified patients into high- and low-risk groups.
  • TP53I3 knockdown enhanced NSCLC radiosensitivity by increasing DNA damage, cell cycle arrest, and apoptosis.

Conclusions:

  • A novel five-gene signature accurately predicts prognosis for NSCLC patients undergoing radiotherapy.
  • This signature can potentially personalize radiotherapy regimens for improved patient outcomes.
  • The findings suggest a clinically applicable tool for tailoring NSCLC treatment.