| ORIGINAL ARTICLE |
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| Year : 2021 | Volume
: 16
| Issue : 3 | Page : 274-279 |
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Pulmonary neuroendocrine carcinoid tumors: Is there a predictive role to the Ki 67 index?
Ana Karina Patane1, Gabriela Guma2, Mercedes Rayá2, Adolfo Rosales3, Walter Astorino4, Moisés Rosenberg4
1 Department of Thoracic, Hospital De Rehabilitación Respiratoria María Ferrer, Alexander Fleming, Buenos Aires, Argentina
2 Department of Pathology, Hospital De Rehabilitación Respiratoria María Ferrer, Alexander Fleming, Buenos Aires, Argentina
3 Department of Thoracic, Hospital De Rehabilitación Respiratoria María Ferrer; Department of Thoracic Surgery and Pathology, Instituto Médico Especializado, Alexander Fleming, Buenos Aires, Argentina
4 Department of Thoracic Surgery and Pathology, Instituto Médico Especializado, Alexander Fleming, Buenos Aires, Argentina
Correspondence Address:
Prof. Ana Karina Patane
Department of Thoracic Surgery, Hospitald De Rehabilitación Respiratoria María Ferrer, Enrique Finochietto 849, CABA
Argentina
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/atm.atm_599_20
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INTRODUCTION: There are several factors predicting evolution in carcinoid tumors (CT) to date including the Ki67 role.
AIMS: The aim of this study is to identify a KI67 cut-off point for a population of CT and determine its prognostic implication in global and disease-free survival.
METHODS: Hematoxylin-eosin slides of 102 CT were revised. The percentage of cells expressing Ki 67 was determined manually.
STATISTICAL ANALYSIS: The variables were compared with the t-test or the Wilcoxon test according to their distribution, the categorical ones with Chi-square or Fisher's test. The best cut-off point was established by constructing receiver operating characteristic curves, then using that value as a dichotomous variable.
RESULTS: 72 typical carcinoids (TC) and 30 atypical carcinoids (AC) were analyzed; 66% were female. Median age (TC 38 vs. AC 51, P = 0.001), Ki67 expression (TC 0.63 vs. AC 2, P = 0.003), tumor size (TC 2.5 vs. AC 2.6, P = 0.001), the percentage relapse (TC 3.4% vs. AC 23%, P = 0.006), and the number of deaths (TC 1 vs. AC 4, P = 0.042) were significantly higher in the AC subgroup. The best cut-off point for Ki 67 was 0.755 (area under the curve AUC 0.564, 95% confidence interval 0.270–0.857), with no significant differences found in the disease-free and overall survival curves when considering values < or ≥ at the established cut-off point. The best cut-off point of the Ki-67 when exclusively analyzing AC was 1.18. When using this value as a predictive variable, a marginal statistical association was observed between Ki-67 expression, mortality (P = 0.077), and the frequency of relapses (P = 0.054).
CONCLUSIONS: Histological type is the best predictor of prognosis in the carcinoid tumor group. In the AC subgroup, the marginal association between mortality, frequency of relapses and Ki values 67 ≥ 1.18 has clinical relevance future analyses are required to determine the real predictive value of this variable.
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