Evidence map›Paper›PMID 30175411›Full record

ArticleInternational journal of experimental pathology2018

Association of miR-1247-5p expression with clinicopathological parameters and prognosis in breast cancer.

Peng Zhang, Changsheng Fan, Jun Du, Xueli Mo, Qikang Zhao

Abstract read
In one paragraph

Article in International journal of experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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.

Peng ZhangDepartment of Breast Disease, Peking University Shougang Hospital, Beijing, China.ORCID 0000-0002-9263-6369
Changsheng FanDepartment of Breast Disease, Peking University Shougang Hospital, Beijing, China.
Jun DuDepartment of Breast Disease, Peking University Shougang Hospital, Beijing, China.
Xueli MoDepartment of Breast Disease, Peking University Shougang Hospital, Beijing, China.
Qikang ZhaoDepartment of Breast Disease, Peking University Shougang Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aimed to clarify the correlation between miR-1247-5p expression and clinicopathological parameters and survival of patients with breast cancer (BC). We evaluated the expression level of miR-1247-5p in 224 formalin-fixed, paraffin-embedded specimens (112 BC and matched cancer free tissues) by quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR). miR-1247-5p expression in BC tissues was found to be decreased compared with matched normal tissues (P < 0.01). Additionally, low miR-1247-5p expression in BC tissues was significantly associated with the advanced TNM stage (P = 0.007), lymph node metastasis (P = 0.015), poorer pathological differentiation (P = 0.005) and molecular subtype (P = 0.027). The patients in the low miR-1247-5p group had a shorter disease-free survival and overall survival than those in the high miR-1247-5p group (P < 0.01). Furthermore, the univariate and the multivariate analyses showed that miR-1247-5p expression was an independent predictor of overall survival (P < 0.01). Our study showed that miR-1247-5p was related to the biological behaviour of breast tumour and prognosis of patients with BC. miR-1247-5p could be a novel tumour suppressor and act as a potential biomarker and therapeutic agent for breast carcinoma.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalDown-RegulationFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedPrognosisBiomarkers, TumorMicroRNAsMIRN1247 microRNA, humanbreast cancerclinicopathological parametersmiR-1247-5pprognosis

Identifiers

PMID30175411
PMCPMC6157300

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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.