Evidence map›Paper›PMID 36927435›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Obese Mouse Fat Cell-derived Extracellular Vesicles Transport miR-99a-5p to Mitigate the Proliferation and Migration of Non-small Cell Lung Cancer Cells.

Shengping Zhai, Xiaoping Li, Tiantian Lin

Abstract read
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In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

3 authors at 1 institution in 1 country.

Shengping ZhaiDepartment of General Practice, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, 264000, China.
Xiaoping LiDepartment of Pulmonary and Critical Care Medicine, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, 264000, China.
Tiantian LinRespiratory Intensive Care Unit, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, 264000, China.
Qingdao University · CN

Funding

Shandong Medical and Health Science and Technology Development Plan Project 202103020944
6 · The paper itself

Abstract

objectiveFat cells-derived extracellular vesicles (FC-EVs) play a role in regulating the tumor microenvironment in cancers by transporting RNAs. MicroRNAs (miRNAs) are vital regulators of cancer development. This study was conducted to explore the role of FC-EVs in the proliferation and migration of non-small cell lung cancer (NSCLC) cells, providing targets for NSCLC treatment.

methodsThe obese mouse model was established

resultsmiR-99a-5p was upregulated in adipose tissues, FCs, and HFD-EVs. HFD-EVs mitigated the proliferation and migration of NSCLC cells. HFD-EVs transported miR-99a-5p into A549 cells, which upregulated miR-99a-5p expression and inhibited HS3ST3B1 expression in A549 cells. HS3ST3B1 overexpression reversed the inhibition of HFD-EVs on the proliferation and migration of NSCLC cells.

conclusionHFD-EVs transported miR-99a-5p into NSCLC cells and inhibited HS3ST3B1, thereby inhibiting proliferation and migration of NSCLC cells.

Indexed as

Carcinoma, Non-Small-Cell LungCell MovementCell ProliferationExtracellular VesiclesLung NeoplasmsMicroRNAsA549 CellsAnimalsDiet, High-FatHumansMaleMiceMice, Inbred C57BLMice, ObeseMicroRNAsMirn99 microRNA, mouseextracellular vesiclesfat cellsHS3ST3B1.miR-99a-5pNon-small cell lung cancerobesity

Identifiers

PMID36927435
OpenAlexW4327684396

What OpenQuestion holds

Textmetadata
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.