Modified Histopathological Grading Optimizes Prediction of Survival Outcomes in Small Intestinal Neuroendocrine Tumours.

Histopathological Grading Small Intestinal Neuroendocrine Tumours

Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
28 Feb 2024
Historique:
received: 23 12 2023
revised: 10 02 2024
accepted: 25 02 2024
medline: 28 2 2024
pubmed: 28 2 2024
entrez: 28 2 2024
Statut: aheadofprint

Résumé

One of the major prognostic indices in neuroendocrine tumours (NETs) is Ki67 proliferation index. To identify optimal grading Ki-67 cut-offs to delineate differences in prognosis of patients with small intestinal NETs (SI-NETs). Multicentre retrospective cohort analysis of 551 SI-NET patients diagnosed from 1993 through 2021 at five European referral centres with a mean(±SD) follow-up time of 51.5(±52.9) months. Overall- and event-free survival (OS and EFS) rates. Median age at baseline was 62.3(range:17-90) years; 252(45.7%) patients were female. All SI-NETs were well-differentiated with 326 being grade 1(G1; 59.2%), 169G2(30.7%), and only 8G3(1.5), while 48 tumours were of unspecified grade (8.7%). The median Ki67 was 2%(range:1-70%). Two-hundred forty-seven patients (44.8%) had distant metastases at baseline (stage IV), 217 locoregional disease (41.1%; stage III), whereas 29(7.1%) and 25(4.5%) presented at stages II and I, respectively. The median OS was 214.7(95%CI:152.7-276.6) months and the median EFS was 79.8(95%CI:68.2-91.5) months, respectively. In multivariable Cox-regression OS analysis, the proposed modified histopathological Ki67 grading system (K67:5-10% group: HR=2.2, 95%CI:1.15-4.31; p=0.018 and K67≥10% group: HR=5.11, 95%CI:2.87-9.09; p<0.001), age (HR=1.07, 95%CI:1.04-1.09; p<0.001), Charlson Comorbidity Index (HR=1.08, 95%CI:1-1.16; p=0.028) and TNM stage (HR=1.79, 95%CI:1.05-3.06; p=0.034) were independent predictors for death. Pertinent EFS analysis, confirmed the proposed modified histopathological Ki67 grading system (K67≥10% group: HR=4.01, 95%CI:2.6-6.37; p<0.001) and age (HR=1.04, 95%CI:1.02-1.05; p<0.001) as independent predictors for recurrence, progression and/or death. Ki-67 proliferation index was a strong and independent predictor of OS and EFS. A modified histopathological grading system applying Ki-67 cut-offs of 5 and 10% could be superior to predict differences in SI-NET patient survival outcomes.

Identifiants

pubmed: 38415861
pii: 7615511
doi: 10.1210/clinem/dgae111
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.

Auteurs

Kosmas Daskalakis (K)

Department of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
2nd Department of Surgery, "Korgialenio-Benakio", Red Cross General Hospital, 11526 Athens, Greece.

Marina Tsoli (M)

Endocrine Oncology Unit, 1st Department of Propaedeutic Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, Athens, Greece.

Göran Wallin (G)

2nd Department of Surgery, "Korgialenio-Benakio", Red Cross General Hospital, 11526 Athens, Greece.

Angelika Kogut (A)

Department of Endocrinology and Neuroendocrine Neoplasms, Department of Endocrinology and Pathophysiology, Medical University of Silesia, Katowice, Poland.

Raj Srirajaskanthan (R)

ENETS Centre of Excellence, Neuroendocrine Tumour Unit, King's College Hospital, London, SE5 9RS, UK.
Department of Gastroenterology, King's College Hospital, London, SE5 9RS, UK.

Christopher Harlow (C)

Department of Gastroenterology, King's College Hospital, London, SE5 9RS, UK.

Georgios Giovos (G)

The ARDEN NET Centre, European Neuroendocrine Tumour Society (ENETS) Centre of Excellence (CoE), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.

Martin O Weickert (MO)

The ARDEN NET Centre, European Neuroendocrine Tumour Society (ENETS) Centre of Excellence (CoE), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.

Beata Kos-Kudla (B)

Department of Endocrinology and Neuroendocrine Neoplasms, Department of Endocrinology and Pathophysiology, Medical University of Silesia, Katowice, Poland.

Gregory Kaltsas (G)

Endocrine Oncology Unit, 1st Department of Propaedeutic Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, Athens, Greece.

Classifications MeSH