ArticleJournal of neuroendocrinology2025
Developing a peripheral blood RNA-seq based NETseq ensemble classifier: A potential novel tool for non-invasive detection and treatment response assessment in neuroendocrine tumor patients receiving
Article in Journal of neuroendocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Review
- Single-Cell and Spatial Transcriptomics Reframe the Immunosuppressive Microenvironment of Neuroendocrine Neoplasms.Cancers · 2026Review
- Mechanisms biomarkers and therapeutic strategies of human endogenous retroviruses in cancer.Discover oncology · 2026Review
- Molecular Deconvolution of Circulating "Other Cells": A Reliable Predictive Marker of Therapy Response and Survival in Neuroendocrine Tumor Patients ReceivingCancer medicine · 2026Article
- A new, machine learning-based approach to metastatic neuroendocrine tumors of unknown origin.Journal of neuroendocrinology · 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
- Variation in bulk RNA-seq and estimated cell type proportion using deconvolution when comparing pancreatic cancer samples within the same individual.medRxiv : the preprint server for health sciences · 2025Article
- Developing a peripheral blood RNA-seq based NETseq ensemble classifier: A potential novel tool for non-invasive detection and treatment response assessment in neuroendocrine tumor patients receivingJournal of neuroendocrinology · 2025Article
- Bulk RNA-seq deconvolution heterogeneity across paired pancreatic cancer human samples.Frontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroendocrine tumors (NETs) are presented with metastases due to delayed diagnosis. We aimed to identify NET-related biomarkers from peripheral blood. The development and validation of a multi-gene NETseq ensemble classifier using peripheral blood RNA-Seq is reported. RNA-Seq was performed on peripheral blood samples from 178 NET patients and 73 healthy donors. Distinguishing gene features were identified from a learning cohort (59 PRRT-naïve GEP-NET patients and 38 healthy donors). Ensemble classifier combining the output of five machine learning algorithms viz. Random Forest (RF), Extreme Gradient Boosting (XGBOOST), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and Logistic Regression (LR) were trained and independently validated in the evaluation cohort (n = 106). The response to PRRT was evaluated in the PRRT cohort (n = 46) and the PRRT response monitoring cohort (n = 16). The response to
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.