What H-score cut off was used to determine low vs high Beclin-1 expression?

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Multiple Choice

What H-score cut off was used to determine low vs high Beclin-1 expression?

Explanation:
Beclin-1 expression is assessed with an H-score, which combines how many cells stain and how intensely they stain. The H-score can range from 0 to 300, and researchers set a threshold to split samples into low versus high expression. In this case, the chosen cut-off was 80: samples with an H-score below 80 are considered low Beclin-1 expression, while those with 80 or above are considered high. This kind of threshold is used to categorize samples for downstream analyses, such as outcomes or pathology associations, and is typically determined based on how the scores distribute in the dataset or by optimizing relation to a clinical endpoint. The other numerical cut-offs would reclassify samples differently and were not the threshold used here.

Beclin-1 expression is assessed with an H-score, which combines how many cells stain and how intensely they stain. The H-score can range from 0 to 300, and researchers set a threshold to split samples into low versus high expression. In this case, the chosen cut-off was 80: samples with an H-score below 80 are considered low Beclin-1 expression, while those with 80 or above are considered high. This kind of threshold is used to categorize samples for downstream analyses, such as outcomes or pathology associations, and is typically determined based on how the scores distribute in the dataset or by optimizing relation to a clinical endpoint. The other numerical cut-offs would reclassify samples differently and were not the threshold used here.

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