ArticleEndocrine2025
Evaluating the prognostic significance of the pre-treatment neutrophil-to-lymphocyte and monocyte-to-lymphocyte ratios in
Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Molecular Deconvolution of Circulating "Other Cells": A Reliable Predictive Marker of Therapy Response and Survival in Neuroendocrine Tumor Patients ReceivingCancer medicine · 2026Article
- The promise of integrating omics-driven liquid biopsy and machine learning algorithms with multi-tracer PET in the management of neuroendocrine tumors: envisioning a panoptic model for precision oncology and molecular theranostics.European journal of nuclear medicine and molecular imaging · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to investigate the role of pre-treatment neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) in the prognosis assessment of
methodsEligible PRRT-treated patients (n = 247, 2010-2019) were included. Pre-PRRT NLR and MLR were calculated from complete blood count data. Data on tumor characteristics, response to PRRT, progression-free survival (PFS), and overall survival (OS) were evaluated using COXPH analyses.
resultsIn NET patients, median values of NLR and MLR were 2.21 (IQR = 1.66-3.00) and 0.14 (IQR = 0.06-0.24), respectively. NLR showed significant positive association with G3 tumors (median = 3.64, IQR = 2.1-4.26, p = 0.022) and high
conclusionPre-treatment NLR and MLR had an independent prognostic impact on disease progression and OS in PRRT-treated NET patients. This routine, inexpensive CBC-based test in the standard pre-PRRT workup demonstrates the prognostic value and may aid clinicians in the risk stratification of NET patients.
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