Evidence map›Paper›PMID 39544420›Full record

ArticlePeerJ2024

CAF-derived miR-642a-3p supports migration, invasion, and EMT of hepatocellular carcinoma cells by targeting SERPINE1.

Shuo Zhang, Gang Cao, Shuijie Shen, Yu Wu, Xiying Tan, Xiaoyan Jiang

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Targeting Tumor-Associated Macrophages and Cancer-Associated Fibroblasts to Overcome Therapeutic Resistance in Hepatocellular Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  5. Article
  6. 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.

Shuo Zhang *Department of Pharmacy, Nantong Hospital of Traditional Chinese Medicine, Nantong, China.
Gang Cao *Office of the Dean, Nantong Maternal and Child Health Care Hospital, Nantong, China.
Shuijie ShenDepartment of Science and Education, Nantong Hospital of Traditional Chinese Medicine, Nantong, China.
Yu WuDepartment of Science and Education, Nantong Hospital of Traditional Chinese Medicine, Nantong, China.
Xiying TanDepartment of Pharmacy, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiaoyan JiangDepartment of Pharmacy, Nantong Hospital of Traditional Chinese Medicine, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer-associated fibroblasts (CAFs) and hepatocellular carcinoma (HCC) cells interact to promote HCC progression, but the underlying mechanisms remain unclear. Serpin family E member 1 (SERPINE1) has conflicting roles in HCC, and microRNAs (miRNAs) are known to regulate tumor progression through intercellular communication. Therefore, we investigated the potential involvement of miRNA/SERPINE1 axis in crosstalk between CAFs and HCC cells. Methods: In this study, candidate miRNAs targeting Results: Conclusion: CAF-derived miR-642a-3p/SERPINE1 axis facilitated migration, invasion, and EMT in the HCC cells, suggesting miR-642a-3p/SERPINE1 axis can be a potential therapeutic target for HCC.

Indexed as

Cancer-Associated FibroblastsCarcinoma, HepatocellularCell MovementEpithelial-Mesenchymal TransitionLiver NeoplasmsMicroRNAsNeoplasm InvasivenessPlasminogen Activator Inhibitor 1AnimalsCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansMiceMice, NudeMicroRNAsPlasminogen Activator Inhibitor 1SERPINE1 protein, humanCancer-associated fibroblastsEMTHepatocellular carcinomaInvasionmiR-642a-3pSERPINE1

Identifiers

PMID39544420
PMCPMC11562775

What OpenQuestion holds

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Registered trials

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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.