Evidence map›Paper›PMID 18303206›Full record

ArticleJournal of Korean medical science2008

Granulocyte macrophage colony-stimulating factor may modulate the post-transcription pathway of interleukin-6 expression in prostate carcinoma cells.

Tae-Hyoung Kim, Seung-Young Oh, Young-Sun Kim, Mi-Kyung Lee, Hwa-Su Kim, Soon-Chul Myung

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2008. 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, top 79% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Tae-Hyoung KimDepartment of Urology, College of Medicine, Chung-Ang University, Seoul, Korea.
Seung-Young Oh
Young-Sun Kim
Mi-Kyung Lee
Hwa-Su Kim
Soon-Chul Myung
Chung-Ang University · KRKorea Center for Disease Control and Prevention · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-6 (IL-6) can stimulate a variety of tumors including prostatic carcinoma. Research has recently shown that IL-6 may act to stimulate the progression of prostatic cancer. To date, little research has been performed to better understand the nature of granulocyte macrophage colony-stimulating factor (GM-CSF) and the expression of IL-6. The aim of this study was to evaluate the effects of GM-CSF on the expression of IL-6 in prostate cancer-3 (PC-3) cells. The bone-derived PC-3 cell line was used in this study. Reverse transcription polymerase chain reaction (RT-PCR) and real- time PCR were performed to detect IL-6 mRNA expression. The IL-6 protein was measured by enzyme-linked immunosorbent assay (ELISA) after treatment with hGM-CSF. Our data indicated that IL-6 mRNA expression did not increase after treatment with hGM-CSF in comparison to the control group. However, the expression of IL-6 protein was increased compared to the control group. GM-CSF may modulate the post-transcription pathway of IL-6 expression in prostate carcinoma cells. Our data suggest that GM-CSF may have a role in IL-6-mediated development of prostate cancer.

Indexed as

Protein Processing, Post-TranslationalCell Line, TumorEnzyme-Linked Immunosorbent AssayGranulocyte-Macrophage Colony-Stimulating FactorHumansInterleukin-6MaleProstatic NeoplasmsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerGranulocyte-Macrophage Colony-Stimulating FactorInterleukin-6RNA, Messenger

Identifiers

PMID18303206
PMCPMC2526505
OpenAlexW2162121435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.