Evidence map›Paper›PMID 18521717›Full record

ArticleInternational urology and nephrology2009

Expression profile and prognostic importance in prostate lesions of the reverse transcriptase component of human telomerase (hTERT) and of cyclin-dependent kinase inhibitor p57 (p57kip2a).

Pinar Atasoy, Erdal Yilmaz, Onder Bozdogan, Sebnem Ayva, Ertan Batislam

Erratum issuedAbstract read
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In one paragraph

Article in International urology and nephrology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Pinar AtasoyDepartment of Pathology, School of Medicine, University of Kirikkale, Kirikkale, Turkey.
Erdal Yilmaz
Onder Bozdogan
Sebnem Ayva
Ertan Batislam
Kırıkkale University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate expression of the reverse transcriptase component of human telomerase (hTERT) and of cyclin-dependent kinase inhibitor p57 (p57(kip2a)) in prostate neoplasms and evaluate the relationship between these proteins and the Gleason score.

methodshTERT and p57(kip2a) antibodies were studied by immunohistochemical methods in 70 prostate adenocarcinomas (33 high-grade and 37 low-grade carcinomas), 29 benign prostate hyperplasias, and 19 prostatic intraepithelial neoplasias (PIN). Only nuclear staining was evaluated with p57(kip2a) whereas both nuclear and nucleolar staining were evaluated with hTERT.

resultsImmunohistochemical histologic scores (HSCOREs) of hTERT were significantly higher in the PIN group than in the hyperplasia group (P = 0.03). hTERT HSCOREs were not significantly different between hyperplasias and carcinomas or between low and high-grade carcinomas. p57(kip2a) HSCOREs were significantly higher in hyperplasias than other groups, and in PINS than carcinomas, but did not differ significantly between low and high-grade carcinomas. A significant negative correlation was observed between hTERT and p57(kip2a) (P = 0.007) in the hyperplasia group. No such correlation was found in PINs and carcinomas.

conclusionsThis study suggests that p57(kip2a) is down-regulated in the malignant side of the spectrum of prostate carcinogenesis. Loss of p57(kip2a) control on hTERT might have an important role in the development of prostate cancer.

Indexed as

AdenocarcinomaAgedAged, 80 and overCyclin-Dependent Kinase Inhibitor p57HumansMaleMiddle AgedPrognosisProstatic NeoplasmsRetrospective StudiesTelomeraseCyclin-Dependent Kinase Inhibitor p57TelomeraseTERT protein, human

Identifiers

PMID18521717
OpenAlexW2022989272

What OpenQuestion holds

Textmetadata
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.