Identification of metabolism-associated molecular classification for effect and prognosis in lung adenocarcinoma based on multidatabases including the cancer genome atlas and gene expression omnibus

Our study deepens the understanding of the metabolic characteristics of lung adenocarcinoma and may provide valuable information for immunotherapy.

Authors

Lilin Que
Zhibing Liu (ORCID: https://orcid.org/0000-0002-7429-6137)
Yinghui Wu (ORCID: https://orcid.org/0000-0003-3991-5155)
Leifeng Liang (ORCID: https://orcid.org/0000-0003-1935-4100)
Lan Luo (ORCID: https://orcid.org/0009-0008-8204-7975)

Institutions

Binzhou Medical University (CN)
Shandong University of Aeronautics (CN)
Guangxi Medical University (CN)

Publication Details

Journal: SAGE Open Medicine
Published: 2025-05-01
DOI: https://doi.org/10.1177/20503121251341114
Primary Topic: Ferroptosis and cancer prognosis
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Identification of metabolism-associated molecular classification for effect and prognosis in lung adenocarcinoma based on multidatabases including the cancer genome atlas and gene expression omnibus

Lilin Que, Zhibing Liu, Yinghui Wu, Leifeng Liang et al.

May 1, 2025

SAGE Open Medicine

Ferroptosis and cancer prognosis

article

Identification of metabolism-associated molecular classification for effect and prognosis in lung adenocarcinoma based on multidatabases including the cancer genome atlas and gene expression omnibus

Lilin Que, Zhibing Liu, Yinghui Wu, Leifeng Liang, Lan Luo

May 1, 2025article en

Abstract

Our study deepens the understanding of the metabolic characteristics of lung adenocarcinoma and may provide valuable information for immunotherapy.

SAGE Open MedicineVol. 13

Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Guangxi Medical University (CN)

National Natural Science Foundation of China

Good health and well-being

Openalex Percentile: Top 77%

Ferroptosis and cancer prognosis

DOI Open Access PDF OpenAlex

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.

Identification of metabolism-associated molecular classification for effect and prognosis in lung adenocarcinoma based on multidatabases including the cancer genome atlas and gene expression omnibus — Lilin Que, Zhibing Liu, et al. · SAGE Open Medicine (2025) | TGRS Research Map | TGRS