Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature.

This research provides insights into the evolutionary complexity and heterogeneity of malignant epithelial populations in lymph node metastatic sites of LUAD. It also presents a scoring system based on prognostic indicators, which serves as a reliable tool for forecasting patient survival outcomes. Moreover, the discovery of SELENBP1 as a candidate tumor suppressor emphasizes its importance in guiding both clinical risk categorization and the design of personalized treatment strategies for individuals classified as high-risk LUAD cases.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.3389/fimmu.2025.1637625
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature.

Ying Shi, Mengli Xue, Xin Li, Han Zhang et al.
PubMed
Cancer Genomics and Diagnostics
article

Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature.

Ying Shi, Mengli Xue, Xin Li, Han Zhang, Hui Yuan, Lin Tan, Yun Ding, Daqiang Sun, Jingxian Wang, Qiuqiao Mu
article en

Abstract

This research provides insights into the evolutionary complexity and heterogeneity of malignant epithelial populations in lymph node metastatic sites of LUAD. It also presents a scoring system based on prognostic indicators, which serves as a reliable tool for forecasting patient survival outcomes. Moreover, the discovery of SELENBP1 as a candidate tumor suppressor emphasizes its importance in guiding both clinical risk categorization and the design of personalized treatment strategies for individuals classified as high-risk LUAD cases.

PubMedVol. 16
Qingdao University (CN), Qingdao Municipal Hospital (CN), Fujian Provincial Hospital (CN), Tianjin Chest Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 75%
Cancer Genomics and Diagnostics
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.

Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature. — Ying Shi, Mengli Xue, et al. · PubMed (2025) | TGRS Research Map | TGRS