V Clay1,2, G Papaxoinis1, B Sanderson1, J W Valle1,2, M Howell1, A Lamarca1, P Krysiak3, P Bishop4, D Nonaka2,5, W Mansoor6,7. 1. Department of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK. 2. Institute of Cancer Studies, University of Manchester, Manchester, UK. 3. Department of Cardiothoracic Surgery, University Hospital of South Manchester, Manchester, M23 9LT, UK. 4. Department of Thoracic Pathology, University Hospital of South Manchester, Manchester, M23 9LT, UK. 5. Department of Histopathology, The Christie NHS Foundation Trust, Manchester, M20 4BX, UK. 6. Department of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK. Was.Mansoor@christie.nhs.uk. 7. Institute of Cancer Studies, University of Manchester, Manchester, UK. Was.Mansoor@christie.nhs.uk.
Abstract
BACKGROUND: Pulmonary carcinoid (PC) tumours are classified as either typical (TC) or atypical (AC) according to mitotic index (MI) and presence of necrosis. The aim of this study was to analyse the diagnostic and prognostic values of the Ki-67 index in PC. METHODS/PATIENTS: Between January 2001 and March 2015, we evaluated 94 consecutive patients with a confirmed diagnosis of TC (n = 75) or AC (n = 19) at our institution. Diagnostic histology was centrally reviewed by a local expert neuroendocrine pathologist, with assessment of Ki-67, MI, and necrosis. RESULTS: Median patient follow-up was 35 months. Eighty-four patients who underwent curative surgical resection were included in the survival analysis for identification of prognostic factors. Ki-67 index showed high diagnostic accuracy to predict histological subtype when assessed by receiver operator characteristic curves with an area under the curve of 0.923 (95% CI 0.852-0.995, p < 0.001). Multivariate analysis showed that MI, Ki-67 index, and the presence or absence of necrosis were independent prognostic factors for relapse-free survival. Combination of MI, Ki-67, and necrosis led to the classification of patients into four different prognostic groups (very low, low, intermediate, and high risks of relapse). CONCLUSIONS: The current study proposes the incorporation of Ki-67 index in the prognostic classification of PC tumours. Due to the limited number of patients and length of follow-up, the current model needs validation by larger cohort studies. Nevertheless, our results suggest that Ki-67 index and MI have continuous effect on prognosis. Prognostic models incorporating multiple cutoffs of Ki-67 and MI might better predict outcome and inform clinical decisions.
BACKGROUND:Pulmonary carcinoid (PC) tumours are classified as either typical (TC) or atypical (AC) according to mitotic index (MI) and presence of necrosis. The aim of this study was to analyse the diagnostic and prognostic values of the Ki-67 index in PC. METHODS/PATIENTS: Between January 2001 and March 2015, we evaluated 94 consecutive patients with a confirmed diagnosis of TC (n = 75) or AC (n = 19) at our institution. Diagnostic histology was centrally reviewed by a local expert neuroendocrine pathologist, with assessment of Ki-67, MI, and necrosis. RESULTS: Median patient follow-up was 35 months. Eighty-four patients who underwent curative surgical resection were included in the survival analysis for identification of prognostic factors. Ki-67 index showed high diagnostic accuracy to predict histological subtype when assessed by receiver operator characteristic curves with an area under the curve of 0.923 (95% CI 0.852-0.995, p < 0.001). Multivariate analysis showed that MI, Ki-67 index, and the presence or absence of necrosis were independent prognostic factors for relapse-free survival. Combination of MI, Ki-67, and necrosis led to the classification of patients into four different prognostic groups (very low, low, intermediate, and high risks of relapse). CONCLUSIONS: The current study proposes the incorporation of Ki-67 index in the prognostic classification of PC tumours. Due to the limited number of patients and length of follow-up, the current model needs validation by larger cohort studies. Nevertheless, our results suggest that Ki-67 index and MI have continuous effect on prognosis. Prognostic models incorporating multiple cutoffs of Ki-67 and MI might better predict outcome and inform clinical decisions.
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