Evidence map›Paper›PMID 36293388›Full record

ArticleInternational journal of molecular sciences2022

Lipid Droplets in Lung Cancers Are Crucial for the Cell Growth and Starvation Survival.

Jrhau Lung, Ming-Szu Hung, Ting-Yao Wang, Kuan-Liang Chen, Chi-Wen Luo, Yuan-Yuan Jiang, Shin-Yi Wu, Li-Wen Lee, Paul-Yann Lin, Fen-Fen Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

20 citing papers in PubMed, 28 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Jrhau LungDepartment of Medical Research and Development, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.ORCID 0000-0003-2100-3713
Ming-Szu HungDepartment of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.
Ting-Yao WangDivision of Hematology and Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.
Kuan-Liang ChenDepartment of Endodontics, ChiMei Medical Center, Tainan 71004, Taiwan.
Chi-Wen LuoDivision of Breast Oncology and Surgery, Department of Surgery, Kaohsiung Medical University Chung-Ho Memorial Hospital, Kaohsiung 80756, Taiwan.ORCID 0000-0001-6852-575X
Yuan-Yuan JiangDepartment of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.
Shin-Yi WuDepartment of Medical Research and Development, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.
Li-Wen LeeDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.ORCID 0000-0001-8019-1772
Paul-Yann LinDepartment of Anatomic Pathology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan.
Fen-Fen ChenDepartment of Pathology, New Taipei City Tucheng Hospital, New Taipei City 23652, Taiwan.
Hui-Fen LiaoDepartment of Biochemical Science and Technology, National Chiayi University, Chiayi 60004, Taiwan.
Yu-Ching LinDepartment of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi 61363, Taiwan.ORCID 0000-0002-0702-5169
Chiayi Chang Gung Memorial Hospital · TWChi Mei Medical Center · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWNational Chiayi University · TWTaipei City Hospital · TW

Funding

Chiayi Chang Gung Memorial Hospital CMRPG6H0351-3, CORPG6K0041-3Ministry of Science and Technology, Taiwan MOST 106-2314-B-182A-076
6 · The paper itself

Abstract

For rapid and unlimited cell growth and proliferation, cancer cells require large quantities of nutrients. Many metabolic pathways and nutrient uptake systems are frequently reprogrammed and upregulated to meet the demand from cancer cells, including the demand for lipids. The lipids for most adult normal cells are mainly acquired from the circulatory system. Whether different cancer cells adopt identical mechanisms to ensure sufficient lipid supply, and whether the lipid demand and supply meet each other, remains unclear, and was investigated in lung cancer cells. Results showed that, despite frequent upregulation in de novo lipogenesis and the lipid transporter system, different lung cancer cells adopt different proteins to acquire sufficient lipids, and the lipid supply frequently exceeds the demand, as significant amounts of lipids stored in the lipid droplets could be found within lung cancer cells. Lipid droplet surface protein, PLIN3, was found frequently overexpressed since the early stage in lung cancer tissues. Although the expression is not significantly associated with a specific gender, age, histology type, disease stage, and smoking habit, the frequently elevated expression of PLIN3 protein indicates the importance of lipid droplets for lung cancer. These lipid droplets are not only for nutrient storage, but are also crucial for tumor growth and proliferation, as well as survival in starvation. These results suggest that manipulation of lipid droplet formation or TG storage in lung cancer cells could potentially decrease the progression of lung cancer. Further exploration of lipid biology in lung cancer could help design novel treatment strategies.

Indexed as

Lung NeoplasmsStarvationAdultCell ProliferationHumansLipid DropletsLipid MetabolismLipidsMembrane ProteinsPerilipin-3LipidsMembrane ProteinsPerilipin-3lipid dropletlipid metabolismlung cancerstarvationsurvivaltumorigenesis

Identifiers

PMID36293388
PMCPMC9604479
OpenAlexW4306838549

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.