What was the P-value for Beclin-1's predictive effect in the chemotherapy-alone group among primary + recurrent MCT tumors?

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Multiple Choice

What was the P-value for Beclin-1's predictive effect in the chemotherapy-alone group among primary + recurrent MCT tumors?

Explanation:
The main idea is how to interpret a P-value for a biomarker’s predictive effect within a treatment subgroup. A P-value of 0.15 means that, if Beclin-1 truly has no predictive effect on chemotherapy-alone response in primary or recurrent MCT tumors, there is a 15% chance of observing the association seen (or something more extreme) purely by random chance. Because this is above the conventional 0.05 cutoff, the result is not considered statistically significant, so we don’t have convincing evidence that Beclin-1 predicts how these tumors will respond to chemotherapy alone in this subset. This doesn’t prove there’s no effect, but it suggests the study lacked sufficient power or the effect is small. In other contexts or with larger samples, the P-value could shift toward significance, but for this group the data don’t support a clear predictive role.

The main idea is how to interpret a P-value for a biomarker’s predictive effect within a treatment subgroup. A P-value of 0.15 means that, if Beclin-1 truly has no predictive effect on chemotherapy-alone response in primary or recurrent MCT tumors, there is a 15% chance of observing the association seen (or something more extreme) purely by random chance. Because this is above the conventional 0.05 cutoff, the result is not considered statistically significant, so we don’t have convincing evidence that Beclin-1 predicts how these tumors will respond to chemotherapy alone in this subset. This doesn’t prove there’s no effect, but it suggests the study lacked sufficient power or the effect is small. In other contexts or with larger samples, the P-value could shift toward significance, but for this group the data don’t support a clear predictive role.

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