Evidence mapPaperPMID 40739632Full record

ReviewLipids in health and disease2025

Intracellular cholesterol: new functions and therapeutic approaches in NSCLC EGFR-TKI resistance.

Linjuan Wang, Yue Qiu, Xiang Huang, Shimei Zhang, Min Zhao, Qiufang Chen

Abstract readReview
In one paragraph

Review in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Linjuan Wang *Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361000, China.
Yue Qiu *Department of Pharmacy, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, China.
Xiang HuangWomen and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361000, China.
Shimei ZhangWomen and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361000, China.
Min ZhaoDepartment of Pharmacy, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, China. zhaomincpupk@xmu.edu.cn.
Qiufang ChenWomen and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361000, China. chenqiufang@xmu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities of China 20720220124National Natural Science Foundation of China 81903699 and 82104287Natural Science Foundation of Fujian Province 2021J05285Xiamen Medical and Health Guidance Project Grants No. 3502Z20209270, 3502Z20214ZD1228 and 3502Z20244ZD1027
6 · The paper itself

Abstract

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have markedly enhanced survival rates among patients with advanced non-small cell lung cancer (NSCLC) exhibiting EGFR mutations. However, acquired resistance diminishes their therapeutic efficacy over time. Recent investigations have linked intracellular cholesterol with the emergence and advancement of various cancers. Elevated cholesterol levels could correlate with resistance to EGFR-TKIs in NSCLC. This review examines the association between cholesterol and EGFR-TKI resistance in NSCLC, with the objective of identifying more effective treatments and surmounting resistance.

Indexed as

Carcinoma, Non-Small-Cell LungCholesterolDrug Resistance, NeoplasmLung NeoplasmsProtein Kinase InhibitorsAntineoplastic AgentsErbB ReceptorsHumansMutationAntineoplastic AgentsCholesterolEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsCholesterolCholesterol homeostasisEGFR-TKI resistanceNSCLC

Identifiers

PMID40739632
PMCPMC12312335

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.