Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation

Our study indicated that ELOVL6 could be used as an indicator to evaluate the prognosis and therapeutic effect, and even potential therapeutic target for patients with LUAD.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2025-01-10
DOI
https://doi.org/10.1186/s12885-024-13415-y
Citations
1
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation

Wenjing Cui, Yifan Qiu, Long Liang, Yongchang Sun et al.
1 citations
BMC Cancer
Cancer, Lipids, and Metabolism
0.94
article

Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation

Wenjing Cui, Yifan Qiu, Long Liang, Yongchang Sun, Ying Luo, Yue Zhang, Zihan Wang, Danyang Li, Jingge Qu, Yuqiang Pei
article en
1 citations

Abstract

Our study indicated that ELOVL6 could be used as an indicator to evaluate the prognosis and therapeutic effect, and even potential therapeutic target for patients with LUAD.

BMC CancerVol. 25(1)
Shandong University (CN), Peking University (CN), Peking University Third Hospital (CN), Shandong Provincial QianFoShan Hospital (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 29%
Cancer, Lipids, and Metabolism
0.94
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.