Evidence map›Paper›PMID 40249471›Full record

ArticleClinical & experimental metastasis2025

Interplay of GPC3, Hsa-miR-135b-3p, and FTLP3 in lung cancer metastasis.

Lijun Yang, Jiping Li

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Lijun YangMedical College of Tibet University, Lhasa, 850000, China.
Jiping LiWest China School of Nursing, Sichuan University/West China Hospital, Sichuan University, No.37 Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China. jp-li@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates crucial genes involved in lung cancer metastasis and their interactions within a Competitive endogenous RNA (ceRNA) regulatory network using comprehensive transcriptomic data from the TCGA and GEO databases. Differential expression analysis identified ten genes associated with lung cancer metastasis, with Glypican-3 (GPC3) emerging as a key mRNA through survival analysis. A ceRNA network involving GPC3, hsa-miR-135b-3p, and FTLP3 was constructed and validated in both cellular and animal models, elucidating their roles in cell migration, invasion, and tumorigenic potential. The analysis confirmed the significance of key genes like GPC3, with the FTLP3/hsa-miR-135b-3p/GPC3 axis playing a fundamental role in lung cancer progression. Additionally, the study identified correlations between GPC3 expression, immune cell infiltration and immune checkpoints, underscoring its impact on the immune landscape of lung cancer. Overexpression of FTLP3 effectively suppressed the migratory, invasive, and metastatic abilities of lung cancer cells, demonstrating the pivotal role of the FTLP3/hsa-miR-135b-3p/GPC3 ceRNA network in modulating tumor progression and immune responses. These results underscore its potential as a therapeutic target for managing lung cancer metastasis.

Indexed as

GlypicansLung NeoplasmsMicroRNAsRNA, Long NoncodingAnimalsCell Line, TumorCell MovementGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMiceNeoplasm InvasivenessNeoplasm MetastasisGlypicansGPC3 protein, humanMicroRNAsMIRN135 microRNA, humanRNA, Long NoncodingceRNA regulatory networkFTLP3GPC3Immune checkpointLung cancer metastasismiR-135b-3p

Identifiers

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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.