Evidence map›Paper›PMID 25473298›Full record

ArticleOncoTargets and therapy2014

The association of apoptotic protein expressions sensitive to apoptosis gene, p73 and p53 with the prognosis of cervical carcinoma.

Pinar Mega Tiber, Latife Baloglu, Sevgi Ozden, Zerrin Ozgen, Hazan Ozyurt, Makbule Eren, Oya Orun

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Cervical Carcinoma: Oncobiology and Biomarkers.International journal of molecular sciences · 2021
    Review
  4. Review
  5. Article
  6. 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

7 authors at 4 institutions in 2 countries.

Pinar Mega TiberDepartment of Biophysics, Marmara University, School of Medicine, Maltepe, Istanbul, Turkey.
Latife BalogluLaboratory Medicine, Karolinska Institute Biomedical Laboratory Science, Stockholm, Sweden.
Sevgi OzdenClinic of Radiation Oncology, Dr Lutfi Kirdar Kartal Education and Research Hospital, Istanbul, Turkey.
Zerrin OzgenDepartment of Radiation Oncology, Marmara University, School of Medicine, Kaynarca, Istanbul, Turkey.
Hazan OzyurtClinic of Radiation Oncology, Dr Lutfi Kirdar Kartal Education and Research Hospital, Istanbul, Turkey.
Makbule ErenClinic of Radiation Oncology, Dr Lutfi Kirdar Kartal Education and Research Hospital, Istanbul, Turkey.
Oya OrunDepartment of Biophysics, Marmara University, School of Medicine, Maltepe, Istanbul, Turkey.
Dr Lütfi Kırdar Kartal Eğitim ve Araştırma Hastanesi · TRMarmara University · TRKarolinska Institutet · SEMaltepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the expressions of several apoptotic pathway proteins in relation to clinical parameters and survival in patients with cervical carcinoma.

methodsA total of 20 patients with clinically advanced staged carcinoma of cervix (International Federation of Gynecology and Obstetrics [FIGO] stage IIB-IVA) aged from 40 to 75 years were included in this study. The expression profile of anti-apoptotic protein (sensitive to apoptosis gene [SAG]), mitochondrial apoptotic proteins (B-cell lymphoma-extra-large [Bcl-xL] and Bcl-2 homologous antagonist/killer [Bak]), and tumor suppressor proteins (p73 and p53) were examined by real-time polymerase chain reaction experiments along with their relation to clinical parameters and survival analyses during follow-up for 5 to 8 years.

resultsNo significant difference was found in the expressions of SAG, Bcl-xL, Bak, p73 and p53 proteins with respect to stage and grade of tumor. A significant positive correlation was noted between SAG and Bcl-xL genes (r=0.752, P<0.001) and between SAG and Bak genes (r=0.589, P=0.006). Among genes determined to be significantly associated with overall survival in the univariate analysis (P=0.026 for SAG, P=0.002 for Bcl-xL, and P=0.027 for p53), only p53 was identified as the significant predictor in the multivariate analysis (hazard ratio: 8.53, 95% confidence interval: 1.34-54.2, P=0.023).

conclusionIn conclusion, our findings demonstrated a reverse correlation of SAG, Bcl-xL, and p53 expressions with overall survival of patients. No association of apoptotic pathway proteins with clinicopathological characteristics of cervical carcinoma patients was noted. Low SAG, Bcl-xL, and p53 expression levels revealed to be useful as prognostic predictors in patients with cervical carcinoma.

Indexed as

apoptosiscervical carcinomap53p73sensitive-to-apoptosis gene

Identifiers

PMID25473298
PMCPMC4251746
OpenAlexW1967046777

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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.