Related Experiment Video
Updated: Feb 12, 2026
14:57
Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
10.1K
A study on the correlation between STAT‑1 and mutant p53 expression in glioma
Wenbo Yang1, Hongwei Wang1, Haitao Ju1
1Department of Neurosurgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010055, P.R. China.
Molecular Medicine Reports
|April 6, 2018
Summary
Signal transducer and activator of transcription 1 (STAT-1) expression is lower in glioma patients, negatively correlating with tumor grade. Mutant p53 expression is higher in glioma and inversely related to STAT-1 levels, suggesting STAT-1
Area of Science:
- Neuro-oncology
- Molecular Biology
- Cancer Research
Background:
- Glioma is a common primary brain tumor in adults and a frequent malignant tumor in children.
- Aberrant expression of signal transducer and activator of transcription 1 (STAT-1) and p53 is implicated in malignant tumor development and progression.
Purpose of the Study:
- To investigate STAT-1 and mutant p53 gene expression in glioma patients.
- To determine the correlation between STAT-1, mutant p53, and glioma grade.
Main Methods:
- Immunohistochemistry was used to assess STAT-1 and mutant p53 protein expression in 50 glioma patients and 10 control patients.
- Spearman's correlation coefficient was employed to analyze the relationship between STAT-1 expression, mutant p53 expression, and glioma grade.
Main Results:
- Mean STAT-1 expression was significantly lower in glioma tissue compared to normal brain tissue (P<0.05).
- Mutant p53 expression (score and positive rate) was significantly higher in glioma tissue than in normal brain tissue (P<0.05).
- A significant negative correlation was found between STAT-1 expression and glioma grade (r=-0.767, P<0.05).
- Mutant p53 expression was negatively correlated with STAT-1 expression in glioma (r=-0.876, P<0.05).
Conclusions:
- Reduced STAT-1 expression is associated with glioma occurrence and progression.
- STAT-1 may serve as a potential diagnostic biomarker and therapeutic target for glioma.
- Mutant p53 expression is inversely related to STAT-1 levels in glioma.
Related Concept Videos
02:20Correlations
36.6K
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...
36.6K
01:27Correlation and Causation
42.9K
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...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.9K
01:20The JAK-STAT Signaling Pathway
12.7K
Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as SH2...
12.7K
01:09Correlation
15.2K
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:
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:
15.2K
00:53Correlation and Regression
3.5K
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...
3.5K
01:12Coefficient of Correlation
8.7K
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.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
8.7K