Evidence map›Paper›PMID 22918472›Full record

ArticleCancer gene therapy2012

Human positive coactivator 4 is a potential novel therapeutic target in non-small cell lung cancer.

Y Peng, J Yang, E Zhang, H Sun, Q Wang, T Wang, Y Su, C Shi

Abstract read
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In one paragraph

Article in Cancer gene therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Positive Cofactor 4 as a Potential Radiation Biodosimeter for Early Assessment.Dose-response : a publication of International Hormesis Society
    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

8 authors.

Y PengInstitute of Combined Injury, State Key Laboratory of Trauma, Burns and Combined Injury, Research Center of Nanomedicine, College of Preventive Medicine, Third Military Medical University, Chongqing, China.
J Yang
E Zhang
H Sun
Q Wang
T Wang
Y Su
C Shi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional positive coactivator 4 (PC4) is a multifunctional nuclear protein that has important roles in DNA transcription, replication, repair and heterochromatinization. However, the role of PC4 in cancer remains to be clarified. Several studies propose that PC4 may act as a putative tumor suppressor. Here, we demonstrate for the first time that PC4 may represent a potential therapeutic target in non-small cell lung cancer (NSCLC). PC4 protein expression is significantly upregulated in NSCLC carcinoma tissues compared with their adjacent noncancerous counterparts as shown by immunohistochemical staining and western blotting in 104 pairs of formalin-fixed human NSCLC specimens and 6 fresh NSCLC samples. Knockdown of PC4 expression by sequence-specific small interfering RNA (siRNA) in human NSCLC cells (A549, H460 and H358) significantly inhibits the growth of cancer cells by the induction of cell cycle arrest and the increase of cell apoptosis in vitro. Interrupting the PC4 signaling pathway by injection of the PC4 siRNA liposome complex produced an effective regression of pre-established A549 cell xenografts in mice through growth inhibition and increased apoptosis. These results indicated that PC4 could be an attractive new therapeutic target for the treatment of NSCLC.

Indexed as

AnimalsApoptosisCarcinoma, Non-Small-Cell LungCell Growth ProcessesCell Line, TumorDNA-Binding ProteinsGene Knockdown TechniquesHumansImmunohistochemistryLung NeoplasmsMaleMembrane Potential, MitochondrialMiceMice, NudeReactive Oxygen SpeciesRNA, Small InterferingDNA-Binding ProteinsReactive Oxygen SpeciesRNA, Small InterferingSUB1 protein, humanTranscription Factors

Identifiers

PMID22918472

What OpenQuestion holds

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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.