2011
DOI: 10.1016/j.prp.2011.09.008
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Exon 11 mutations, Ki67, and p16INK4A as predictors of prognosis in patients with GIST

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Cited by 16 publications
(8 citation statements)
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“…In documented research, different cut-off points have been suggested: 0.82% [25], 2.7% [26], 3% [27], 5% [15,23], 6% [28], or 10% [29]; however few of these cut-off points were established based on ROC analysis. In our series, a 1% LI was confirmed as the best threshold value for relapse in ROC analysis, with 71.7% sensitivity and 64.5% specificity.…”
Section: Discussionmentioning
confidence: 99%
“…In documented research, different cut-off points have been suggested: 0.82% [25], 2.7% [26], 3% [27], 5% [15,23], 6% [28], or 10% [29]; however few of these cut-off points were established based on ROC analysis. In our series, a 1% LI was confirmed as the best threshold value for relapse in ROC analysis, with 71.7% sensitivity and 64.5% specificity.…”
Section: Discussionmentioning
confidence: 99%
“…A scoring index was then calculated by multiplying staining intensity by the percentage of positively stained cells [21]. In previous studies, the cut-off point of continuous variables was determined by receiver–operator characteristic (ROC), using recurrence as a basis [22]. However, the postoperative recurrence time varied dramatically in the present study (4 to 108 months), which may reflect differences in the biological behavior of the tumors.…”
Section: Methodsmentioning
confidence: 82%
“…Based on both the data features and the ROC curve, p53 was classified into 2 categories, index <10 and index ≥10, and p27 was classified into 3 categories, index <100, index between 100–200, and index >200. Although, different cut-off points for Ki67 have been described, varying from 0.82% to 10%, 3% and 5% have been the cut-offs used most often for GISTs [22], [23]. Here, a 5% cut-off was found to be better than 3% to classify cases using Kaplan-Meier curves.…”
Section: Methodsmentioning
confidence: 87%
“…It has been shown that abnormal expression of p16 is associated with several cancers, such as lung, laryngeal, and tonsillary carcinomas [29][30][31]. Various scoring methods have been used in studies comparing p16 expression and prognostic parameters in various neoplasms [32][33][34]. In bladder cancer, there is no consensus about the regarding the p16 staining pattern.…”
Section: Discussionmentioning
confidence: 99%