Jove
Visualize
Contact Us

Related Concept Videos

Correlation and Regression00:53

Correlation and Regression

1.3K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
1.3K
Correlation01:09

Correlation

11.9K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
11.9K
Correlations02:20

Correlations

33.4K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
33.4K
Correlation of Experimental Data01:23

Correlation of Experimental Data

257
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
257
Correlation and Causation01:27

Correlation and Causation

37.8K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
37.8K
Calculating and Interpreting the Linear Correlation Coefficient01:11

Calculating and Interpreting the Linear Correlation Coefficient

6.1K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
6.1K

You might also read

Related Articles

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

Sort by
Same author

Research hotspots and frontier analysis of the novel immune checkpoint Nectin-4.

Human vaccines & immunotherapeutics·2025
Same author

Medicinal chemistry aspects of fat mass and obesity associated protein: structure, function and inhibitors.

Future medicinal chemistry·2024
Same author

Exploration of the Correlation Between <i>GRHL1</i> Expression and Tumor Microenvironment in Endometrial Cancer and Immunotherapy.

Pharmacogenomics and personalized medicine·2024
Same author

Prognostic Model and Tumor Immune Microenvironment Analysis of Complement-Related Genes in Gastric Cancer.

Journal of inflammation research·2023
Same author

VEGF Mediates Tumor Growth and Metastasis by Affecting the Expression of E-Cadherin and N-Cadherin Promoting Epithelial to Mesenchymal Transition in Gastric Cancer.

Clinical Medicine Insights. Oncology·2023
Same author

Exploring Prognosis, Tumor Microenvironment and Tumor Immune Infiltration in Hepatocellular Carcinoma Based on ATF/CREB Transcription Factor Family Gene-Related Model.

Journal of hepatocellular carcinoma·2023
Same journal

Population-Based Assessment of Phenoconversion Potential in Switzerland: A Claims Data Study of Key Drug-Metabolizing Enzymes and Transporters.

Pharmacogenomics and personalized medicine·2026
Same journal

Massive Hepatocellular Carcinoma with Insufficient Future Liver Remnant Achieved Complete Response After Two-Stage Hepatectomy Combined with Hepatic Arterial Infusion Chemotherapy and Lenvatinib-sintilimab: A Case Report.

Pharmacogenomics and personalized medicine·2026
Same journal

Construction and Validation of Multi-Omics Predictive Models for Colorectal Cancer Using Machine-Learning Approaches.

Pharmacogenomics and personalized medicine·2026
Same journal

Clinical Outcomes of Osimertinib Combined with Platinum-Based Chemotherapy in EGFR-Mutant Non-Small Cell Lung Cancer: A Retrospective Study.

Pharmacogenomics and personalized medicine·2026
Same journal

Post-Translational Modifications of Histones and Non-Histones in Liver Disease and Traditional Chinese Medicine Treatment: A Narrative Review.

Pharmacogenomics and personalized medicine·2026
Same journal

NAT2 Acetylation Phenotypes in India: A Narrative Review of Personalized TB Therapy.

Pharmacogenomics and personalized medicine·2026
See all related articles
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 Video

Updated: Jul 27, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K

Exploring the Correlation Between

Xianhua Gu1, Honghong Shen2, Zheng Xiang3

  • 1Department of Gynecology Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.

Pharmacogenomics and Personalized Medicine
|June 7, 2023
PubMed
Summary
This summary is machine-generated.

High GPR176 expression in gastric cancer (GC) correlates with poor prognosis and immune evasion. This orphan G protein-coupled receptor (GPCR) suppresses CD8+ T cells, indicating its role as a predictive biomarker for gastric cancer patients.

Keywords:
GPR176gastric cancerimmune escapeimmunotherapytumor microenvironment

More Related Videos

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.6K
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.3K

Related Experiment Videos

Last Updated: Jul 27, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.4K
Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.6K
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.3K

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Gastrointestinal cancers, including gastric cancer (GC), are significantly influenced by G protein-coupled receptor 176 (GPR176).
  • The precise role of GPR176 in modulating tumor immunity and patient outcomes in GC remains largely uncharacterized.

Purpose of the Study:

  • To investigate the expression patterns of GPR176 in gastric cancer tissues and normal gastric mucosa.
  • To evaluate the association between GPR176 expression, patient prognosis, and tumor immune infiltration in GC.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases for expression analysis.
  • Performed immunohistochemistry and quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) for validation.
  • Employed Kaplan-Meier, logistic regression, and Cox regression analyses to assess clinical correlations and prognostic value.

Main Results:

  • Gastric cancer tissues exhibited significantly higher GPR176 expression compared to normal tissues.
  • Elevated GPR176 expression was linked to a poorer 10-year overall survival (OS) in GC patients (p < 0.001).
  • GPR176 expression negatively correlated with CD8+ T cell infiltration and was associated with increased immune evasion, as indicated by TIDE and IPS analyses.

Conclusions:

  • GPR176 serves as a valuable predictive biomarker for adverse patient prognosis in gastric cancer.
  • GPR176 contributes to immune evasion in GC by suppressing CD8+ T cell proliferation.