Evidence map›Paper›PMID 25785036›Full record

ArticleInternational journal of clinical and experimental medicine2015

Clinicopathological and prognostic role of SIRT1 in breast cancer patients: a meta-analysis.

Yu-Wen Cao, Yu-Cong Li, Guo-Xing Wan, Xiao-Ming Du, Feng Li

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  9. SIRT1 induces tumor invasion by targeting epithelial mesenchymal transition-related pathway and is a prognostic marker in triple negative breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

5 authors at 1 institution in 1 country.

Yu-Wen CaoDepartment of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China.
Yu-Cong LiDepartment of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China.
Guo-Xing WanDepartment of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China.
Xiao-Ming DuDepartment of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China.
Feng LiDepartment of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi 832000, Xinjiang, China.
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSilent mating type information regulation 2 homolog-1 (SIRT1) plays an important role in the progression and development of cancer, including breast cancer. However, the association between SIRT1 expression and clinicopathological parameters and prognosis in breast cancer remains inconclusive. To accurately evaluate the significance of SIRT1 expression in breast cancer, a meta-analysis based on published studies was performed.

methodsThe PubMed, Embase, ISI Web of Science, Science Direct, and Chinese National Knowledge Infrastructure databases were screened to retrieve relevant literature. The reported odds ratios (ORs) and hazard ratios (HRs) and their 95% corresponding confidence intervals (CIs) were pooled to estimate the strength of specific associations.

resultsSix studies involving 604 patients were included in the meta-analysis. The pooled analyses showed a significant correlation between SIRT1 expression and poor disease-free survival (DFS) (HR = 3.07, 95% CI: 1.92-4.91, Z = 4.69, P < 0.001) and overall survival (OS) (HR = 3.94, 95% CI: 2.19-7.10, Z = 4.57, P < 0.001). SIRT1 expression also significantly correlated with high TNM stage (pooled OR = 2.92, 95% CI: 1.84-4.63) and lymph node metastasis (pooled OR = 3.22, 95% CI: 0.98-10.57).

conclusionsOur meta-analysis shows that SIRT1 expression correlates with unfavorable clinical outcomes. We suggest that SIRT1 expression may have potential value in the pathological diagnosis and clinical treatment of patients with breast cancer. More studies are warranted to investigate the effect of SIRT1 on the survival of breast cancer patients.

Indexed as

breast cancermeta-analysisprognosisSIRT1

Identifiers

PMID25785036
PMCPMC4358491
OpenAlexW2320106881

What OpenQuestion holds

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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.