The role of immune cells phenotype in neuroendocrine tumors development

This study elucidates the causal relationship between 731 immune cells and six types of NETs, identifying three immune phenotypes significantly associated with GNETs pathogenesis. These findings provide new perspectives for future medical research.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-06-03
DOI
https://doi.org/10.1007/s12672-025-02870-z
Citations
1
Primary Topic
Neuroendocrine Tumor Research Advances
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of immune cells phenotype in neuroendocrine tumors development

Jie Qiao, Y. Wang, Peng‐Fei Shan, Jingjing Huang et al.
1 citations
Discover Oncology
Neuroendocrine Tumor Research Advances
1.35
article

The role of immune cells phenotype in neuroendocrine tumors development

Jie Qiao, Y. Wang, Peng‐Fei Shan, Jingjing Huang, Yi Wu
article en
1 citations

Abstract

This study elucidates the causal relationship between 731 immune cells and six types of NETs, identifying three immune phenotypes significantly associated with GNETs pathogenesis. These findings provide new perspectives for future medical research.

Discover OncologyVol. 16(1)
Second Affiliated Hospital of Zhejiang University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 19%
Neuroendocrine Tumor Research Advances
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.