Evidence map›Paper›PMID 25435811›Full record

ArticleCancer cell international2014

Expression of undifferentiated embryonic cell transcription factor-1 (UTF1) in breast cancers and their matched normal tissues.

Chaoyang Xu, Ying Zhou, Wei Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 88% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Chaoyang XuDepartment of Breast and Thyroid Surgery, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang 312000 China ; Department of Medical Research Center, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang China.
Ying ZhouDepartment of Breast and Thyroid Surgery, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang 312000 China.
Wei ChenDepartment of Breast and Thyroid Surgery, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang 312000 China.
Shaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUndifferentiated embryonic cell transcription factor-1 (UTF1) plays a critical role in the developmental timing during embryonic development. However, there is little paper dealing with UTF1 expressed in adult tissues. In the present study, we evaluate the expression of UTF1 in breast cancer and its correlation with clinicopathological parameters.

methodsReal-time polymerase chain reaction (real-time PCR) was applied to detect the expression of UTF1 mRNA in the 55 pairs of samples of breast cancer tissues and match normal tissues. △△CT method was used to evaluate the relative quantity of target mRNA expression.

resultsAmong the 55 pairs of samples of breast cancer tissues and match normal tissues adjacent to the tumor, the UTF1 mRNA levels in normal tissues were significantly higher than those observed in breast cancer tissues (p < 0.001). UTF1 mRNA levels expression correlated with lymph node metastasis (p = 0.002) and tumor size (p < 0.001).

conclusionsExpression of UTF1 in breast cancer tissues were confirmed in this study. Decreased expression of UTF1 mRNA in breast cancer tissues was maybe one of the factors impact on tumorigenes in breast cancer patients.

Indexed as

Breast cancerLymph nodeMetastasisPolymerase chain reaction (PCR)UTF1

Identifiers

PMID25435811
PMCPMC4247222
OpenAlexW2147606690

What OpenQuestion holds

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LicenceCC BY
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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.