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The clinical utility of the NETest in patients with Small Intestinal Neuroendocrine Neoplasms (Si-NENs): a “Real-Life” study
File(s)
cancers-16-02506 (3).pdf (1.15 MB)
Published version
Author(s)
Gertner, Julian
Tsoli, Marina
Hayes, Aimee R
O’Mahony, Luke Furtado
Laskaratos, Faidon-Marios
Type
Journal Article
Abstract
Current biomarkers do not adequately predict the behaviour of neuroendocrine neoplasms (NENs). This study assessed the NETest, a multianalyte blood biomarker, in patients with small intestinal NENs (Si-NENs). We studied two patient groups: Group 1: metastatic Si-NENs (n = 102) and Group 2: post-operatively disease-free according to 68Ga-DOTATATE PET (n = 16). NETest scores were ≤20% (normal), 21–40% (low), 41–79% (intermediate), or ≥80% (high). Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan–Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards model. In Group 1, the median NETest score was 40% (IQR: 33.3–46.7%). The NETest value (HR: 1.032, 95% CI: 1.003–1.062, p = 0.033) and high-risk NETest category (HR: 10.5, 95% CI: 1.35–81.7, p = 0.025) were independent predictors of PFS, along with presence of lung metastases, CgA levels > 10 × ULN, and tumour growth rate (TGR). Independent predictors of OS were the NETest value (HR: 1.035, 95% CI: 1.005–1.066, p = 0.024) and high-risk NETest category (HR: 15.2, 95% CI: 1.52–151, p = 0.02), along with presence of lung metastases and CgA levels > 10 × ULN. In Group 2, ROC analysis identified an AUC of 0.909 (95% CI: 0.75–0.100) for prediction of local or metastatic recurrence. Blood NETest scores were associated with PFS and OS in patients with metastatic Si-NENs, along with TGR, CgA > 10 × ULN, and presence of lung metastases.
Date Issued
2024-07-02
Date Acceptance
2024-06-27
Citation
Cancers, 2024, 16 (14)
URI
URL
DOI
ISSN
2072-6694
Publisher
MDPI AG
Journal / Book Title
Cancers
Volume
16
Issue
14
Copyright Statement
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
License URL
Publication Status
Published
Article Number
2506
Date Publish Online
2024-07-10