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Genetic evidence supporting a causal role of Janus kinase 2 in prostate cancer: a Mendelian randomization study
Background:
Janus kinase-2 (JAK2) inhibitors are now being tried in basic research and clinical practice in prostate cancer (PCa). However, the causal relationship between JAK2 and PCa has not been uniformly described. Here, we examined the cause-effect relation between JAK2 and PCa.
Methods:
Two-sample Mendelian randomization (MR) analysis of genetic variation data of JAK2, PCa from IEU OpenGWAS Project was performed by inverse variance weighted, MR-Egger, and weighted median. Cochran's Q heterogeneity test and MR-Egger multiplicity analysis were performed to normalize the MR analysis results to reduce the effect of bias on the results.
Results:
Five instrumental variables were identified for further MR analysis. Specifically, combining the inverse variance-weighted (OR: 1.0009, 95% CI: 1.0001-1.0015, p = 0.02) and weighted median (OR: 1.0009, 95% CI: 1.0000-1.0017, p = 0.03). Sensitivity analysis showed that there was no heterogeneity (p = 0.448) and horizontal multiplicity (p = 0.770) among the instrumental variables.
Conclusions:
We found JAK2 was associated with the development of PCa and was a risk factor for PCa, which might be instructive for the use of JAK2 inhibitors in PCa patients.
Insights
Janus kinase-2 (JAK2) is associated with prostate cancer (PCa) development. This study confirms JAK2 as a risk factor for PCa, informing the use of JAK2 inhibitors in treatment.
Area of Science:
- Oncology
- Genetics
- Pharmacology
Background:
- Janus kinase-2 (JAK2) inhibitors are increasingly used in prostate cancer (PCa) research and treatment.
- The precise causal link between JAK2 and PCa remains unclear.
- This study investigates the cause-effect relationship between JAK2 and PCa.
Purpose of the Study:
- To examine the causal relationship between Janus kinase-2 (JAK2) and prostate cancer (PCa).
- To determine if JAK2 acts as a risk factor in PCa development.
- To provide insights into the clinical application of JAK2 inhibitors for PCa.
Main Methods:
- Utilized a two-sample Mendelian randomization (MR) analysis.
- Employed genetic variation data for JAK2 and PCa from the IEU OpenGWAS Project.
- Applied inverse variance weighted, MR-Egger, and weighted median methods, with sensitivity analyses including Cochran's Q test and MR-Egger intercept analysis to ensure result validity.
Main Results:
- Identified five instrumental variables for the MR analysis.
- Inverse variance-weighted and weighted median analyses indicated a significant association between JAK2 and PCa (ORs approx. 1.0009, p < 0.05).
- Sensitivity analyses confirmed no significant heterogeneity or horizontal multiplicity among the instrumental variables (p > 0.05).
Conclusions:
- Janus kinase-2 (JAK2) is significantly associated with the development of prostate cancer (PCa).
- JAK2 is confirmed as a risk factor for PCa.
- These findings may guide the therapeutic use of JAK2 inhibitors in PCa management.
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