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Standardised Ki-67 proliferation index assessment in early-stage laryngeal squamous cell carcinoma in relation to local control and survival after primary radiotherapy.

ABSTRACT: OBJECTIVES:Ambiguous results have been reported on the predictive value of the Ki-67 proliferation index (Ki-67 PI) regarding local control (LC) and survival after primary radiotherapy (RT) in early-stage laryngeal squamous cell cancer (LSCC). Small study size, heterogenic inclusion, variations in immunostaining and cut-off values are attributing factors. Our aim was to elucidate the predictive value of the Ki-67 PI for LC and disease-specific survival (DSS) using a well-defined series of T1-T2 LSCC, standardised automatic immunostaining and digital image analysis (DIA). METHODS:A consecutive and well-defined cohort of 208 patients with T1-T2 LSCC treated with primary RT was selected. The Ki-67 PI was determined using DIA. Mann-Whitney U-tests, logistic and Cox regression analyses were performed to assess associations between Ki-67 PI, clinicopathological variables, LC and DSS. RESULTS:In multivariate Cox regression analysis, poor tumour differentiation (HR 2.20; 95% CI 1.06-4.59, P = .04) and alcohol use (HR 2.84, 95% CI 1.20-6.71; P = .02) were independent predictors for LC. Lymph node positivity was an independent predictor for DSS (HR 3.16, 95% CI 1.16-8.64; P = .03). Ki-67 PI was not associated with LC (HR 1.59; 95% CI 0.89-2.81; P = .11) or DSS (HR 0.98; 95% CI 0.57-1.66; P = .97). In addition, continuous Ki-67 PI was not associated with LC (HR 2.03; 95% CI 0.37-11.14, P = .42) or DSS (HR 0.62; 95% CI 0.05-8.28; P = .72). CONCLUSION:The Ki-67 PI was not found to be a predictor for LC or DSS and therefore should not be incorporated in treatment-related decision-making for LSCC.

SUBMITTER: Kop E

PROVIDER: S-EPMC6973088 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Standardised Ki-67 proliferation index assessment in early-stage laryngeal squamous cell carcinoma in relation to local control and survival after primary radiotherapy.

Kop Emiel E de Bock Geertruida H GH Noordhuis Maartje G MG Slagter-Menkema Lorian L van der Laan Bernard F A M BFAM Langendijk Johannes A JA Schuuring Ed E van der Vegt Bert B

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery 20191105 1

<h4>Objectives</h4>Ambiguous results have been reported on the predictive value of the Ki-67 proliferation index (Ki-67 PI) regarding local control (LC) and survival after primary radiotherapy (RT) in early-stage laryngeal squamous cell cancer (LSCC). Small study size, heterogenic inclusion, variations in immunostaining and cut-off values are attributing factors. Our aim was to elucidate the predictive value of the Ki-67 PI for LC and disease-specific survival (DSS) using a well-defined series o ...[more]

PMID: 31561282

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Project description:BackgroundThe Ki-67 index is an indicator of proliferation and aggressive behavior in pituitary adenomas (PAs). This study aims to develop and validate a predictive nomogram for forecasting Ki-67 index levels preoperatively in PAs.MethodsA total of 439 patients with PAs underwent PA resection at the Department of Neurosurgery in Jinling Hospital between January 2018 and October 2020; they were enrolled in this retrospective study and were classified randomly into a training cohort (n = 300) and a validation cohort (n = 139). A range of clinical, radiological, and laboratory characteristics were collected. The Ki-67 index was classified into the low Ki-67 index (<3%) and the high Ki-67 index (≥3%). Least absolute shrinkage and selection operator algorithm and uni- and multivariate logistic regression analyses were applied to identify independent risk factors associated with Ki-67. A nomogram was constructed to visualize these risk factors. The receiver operation characteristic curve and calibration curve were computed to evaluate the predictive performance of the nomogram model.ResultsAge, primary-recurrence subtype, maximum dimension, and prolactin were included in the nomogram model. The areas under the curve (AUCs) of the nomogram model were 0.694 in the training cohort and 0.658 in the validation cohort. A well-fitted calibration curve was also generated for the nomogram model. A subgroup analysis revealed stable predictive performance for the nomogram model. A correlation analysis revealed that age (R = -0.23; p < 0.01), maximum dimension (R = 0.17; p < 0.01), and prolactin (R = 0.16; p < 0.01) were all significantly correlated with the Ki-67 index level.ConclusionsAge, primary-recurrence subtype, maximum dimension, and prolactin are independent predictors for the Ki-67 index level. The current study provides a novel and feasible nomogram, which can further assist neurosurgeons to develop better, more individualized treatment strategies for patients with PAs by predicting the Ki-67 index level preoperatively.

Dataset Information

Standardised Ki-67 proliferation index assessment in early-stage laryngeal squamous cell carcinoma in relation to local control and survival after primary radiotherapy.

Publications

Standardised Ki-67 proliferation index assessment in early-stage laryngeal squamous cell carcinoma in relation to local control and survival after primary radiotherapy.

Similar Datasets

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