High-Grade Progression Confers Poor Survival in Pancreatic Neuroendocrine Tumors.


Journal

Neuroendocrinology
ISSN: 1423-0194
Titre abrégé: Neuroendocrinology
Pays: Switzerland
ID NLM: 0035665

Informations de publication

Date de publication:
2020
Historique:
received: 05 06 2019
accepted: 26 10 2019
pubmed: 29 10 2019
medline: 28 8 2021
entrez: 29 10 2019
Statut: ppublish

Résumé

Little is known about how pancreatic neuroendocrine tumors (PanNETs) evolve over time and if changes toward a more aggressive biology correlate with prognosis. The purpose of this study was to characterize changes in PanNET differentiation and proliferation over time and to correlate findings to overall survival (OS). In this retrospective cohort study, we screened 475 PanNET patients treated at Uppsala University Hospital, Sweden. Sporadic patients with baseline and follow-up tumor samples were included. Pathology reports and available tissue sections were reevaluated with regard to tumor histopathology and Ki-67 index. Forty-six patients with 106 tumor samples (56 available for pathology reevaluation) were included. Median Ki-67 index at diagnosis was 7% (range 1-38%), grade 1 n = 8, grade 2 n = 36, and grade 3 n = 2. The median change in Ki-67 index (absolute value; follow-up - baseline) was +14% (range -11 to +80%). Increase in tumor grade occurred in 28 patients (63.6%), the majority from grade 1/2 to grade 3 (n = 24, 54.5%). The patients with a high-grade progression had a median OS of 50.2 months compared to 115.1 months in patients without such progression (hazard ratio 3.89, 95% CI 1.91-7.94, p < 0.001). A longitudinal increase in Ki-67 index and increase in tumor grade were observed in a majority of PanNETs included in this study. We propose that increase in Ki-67 index and high-grade progression should be investigated further as important biomarkers in PanNET.

Identifiants

pubmed: 31658459
pii: 000504392
doi: 10.1159/000504392
doi:

Substances chimiques

Biomarkers, Tumor 0
Ki-67 Antigen 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

891-898

Informations de copyright

© 2019 S. Karger AG, Basel.

Auteurs

Johan Botling (J)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Angela Lamarca (A)

Department of Medical Oncology, The Christie NHS Foundation Trust, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.

Duska Bajic (D)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

Olov Norlén (O)

Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Vincent Lönngren (V)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Josefine Kjaer (J)

Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Barbro Eriksson (B)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

Staffan Welin (S)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

Per Hellman (P)

Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Guido Rindi (G)

Anatomia Patologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Anatomia Patologica, Università Cattolica del Sacro Cuore, Rome, Italy.

Britt Skogseid (B)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

Joakim Crona (J)

Department of Medical Sciences, Uppsala University, Uppsala, Sweden, Joakim.Crona@medsci.uu.se.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH