In multivariable analysis, which biomarker was the only significant independent predictor of survival?

In multivariable analysis, which biomarker was the only significant independent predictor of survival?

• A. Kiupel grade
• B. Beclin-1 immunolabeling
• C. Mitotic count
• D. KIT immunolabeling pattern

Answer: (B)

In multivariable analysis, you’re looking for predictors that provide information about outcome that isn’t already captured by other factors. Beclin-1 immunolabeling stood out because, after including Kiupel grade, mitotic count, and KIT immunolabeling pattern in the model, it remained the only biomarker with a statistically significant association with survival. This means Beclin-1 adds independent prognostic information beyond those standard histologic and KIT measures. The other markers may relate to prognosis in a univariate sense or correlate with Beclin-1, but they do not provide additional predictive value once Beclin-1 is accounted for. Beclin-1 reflects autophagy activity, a process that can influence tumor cell survival under stress, and its expression level thus offers unique prognostic insight in this context.

In multivariable analysis, you’re looking for predictors that provide information about outcome that isn’t already captured by other factors. Beclin-1 immunolabeling stood out because, after including Kiupel grade, mitotic count, and KIT immunolabeling pattern in the model, it remained the only biomarker with a statistically significant association with survival. This means Beclin-1 adds independent prognostic information beyond those standard histologic and KIT measures. The other markers may relate to prognosis in a univariate sense or correlate with Beclin-1, but they do not provide additional predictive value once Beclin-1 is accounted for. Beclin-1 reflects autophagy activity, a process that can influence tumor cell survival under stress, and its expression level thus offers unique prognostic insight in this context.