Evidence map›Paper›PMID 40681591›Full record

ArticleScientific reports2025

The effect of PDLIM7 on cell proliferation, migration, and drug sensitivity in clear cell renal cell carcinoma.

Chong Shen, Jian Zhuo, Jianying Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

3 authors.

Chong ShenYangzhou Third People's Hospital, Yangzhou, China. Shenchong66@163.com.
Jian ZhuoSchool of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Jianying WangAffiliated Hospital of Hebei Engineering University, Handan, Hebei, China. byzswjy@163.com.

Funding

Hebei Province 2024 annual medical science research topic 20240024
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is a subtype of renal cancer primarily originating from renal tubular epithelial cells. The absence of effective treatments has contributed to its poor prognosis. PDLIM7 is a protein containing PDZ and LIM structural domains, which performs varied functions through interactions with different proteins. To elucidate the role of PDLIM7 in ccRCC, we aimed to investigate its potential functions in relation to drug sensitivity. We analyzed multiple databases to assess the relationship between PDLIM7 expression and clinicopathological features, and conducted survival prognosis analysis. The expression level of PDLIM7 was validated through Western blotting and immunohistochemistry (IHC). We determined the effects and mechanisms of PDLIM7 on cancer cell proliferation, migration, and invasion through cloning assays, scratch assays, and Transwell assays. The functions and potential mechanisms of action of PDLIM7 were analyzed using gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses. Its relationship with drug sensitivity was predicted utilizing the CellMiner database. Our study demonstrated that elevated PDLIM7 expression in ccRCC tissues and cell lines is significantly associated with the prognosis of patients with ccRCC. The knockdown of PDLIM7 markedly reduced the activity of ccRCC cells. KEGG and GO functional enrichment analyses indicated that PDLIM7 is implicated in various biological functions and signaling pathways. Higher levels of PDLIM7 are associated with increased sensitivity to a range of therapeutic agents. In conclusion, PDLIM7 is highly expressed in ccRCC and functions as an oncogene; its knockdown significantly inhibits the activity of ccRCC cells. PDLIM7 may serve as a prognostic marker for ccRCC and represents a potential therapeutic target.

Indexed as

Carcinoma, Renal CellCell MovementKidney NeoplasmsLIM Domain ProteinsCell Line, TumorCell ProliferationDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisLIM Domain ProteinsCcRCCDrug sensitivityMigrationPDLIM7

Identifiers

PMID40681591
PMCPMC12274469

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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.