Evidence map›Paper›PMID 29914008›Full record

ArticleCancer biomarkers : section A of Disease markers2018

MiR-17-5p may serve as a novel predictor for breast cancer recurrence.

Yaozong Wang, Jianjun Li, Lei Dai, Jueru Zheng, Zhanbo Yi, Liangliang Chen

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Article
  5. MicroRNAs and Heat Shock Proteins in Breast Cancer Biology.Methods in molecular biology (Clifton, N.J.) · 2022
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  13. miR-17-5p promotes migration and invasion in breast cancer cells by repressing netrin 4.International journal of clinical and experimental pathology · 2019
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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

6 authors.

Yaozong Wang
Jianjun Li
Lei Dai
Jueru Zheng
Zhanbo Yi
Liangliang Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrence following conventional therapies in patients with breast cancer is a major cause of morbidity and mortality. This study aimed to investigate potential predictive biomarkers for breast cancer recurrence especially microRNAs (miRNAs).

methodsThe primary breast cancer patients who were scheduled to undergo curative resection in our hospital from May 2007 to May 2012 were recruited in this study. Clinical and pathological characteristics were compared in patients with or without recurrence. The expressions of tissue miRNAs by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) were also analyzed in patients with recurrence or not. Multivariate Cox analysis was fit to evaluate potential predicative factors for breast cancer recurrence. Kaplan-Meier plots was conducted to further evaluate the association between miR-17-5p expression and recurrence-free survival (RFS).

resultsA total of 133 consecutive patients were enrolled into the final analysis and 29 of them have suffered recurrence within 5 years after the operation. Our results revealed tissue miR-17-5p expression as an independent risk factor for breast cancer recurrence (HR: 4.45; 95% CI: 1.58-11.53, P= 0.015). Patients with a higher miR-17-5p expression was significantly associated with a worse 5-year RFS by log-rank test (p= 0.017).

conclusionsThis study suggested that miR-17-5p might be a useful predictive factor for breast cancer recurrence.

Indexed as

AgedBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMicroRNAsMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingRisk FactorsBiomarkers, TumorMicroRNAsMIRN17 microRNA, humanBreast cancermicroRNApredictionrecurrence

Identifiers

PMID29914008
PMCPMC13078494

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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.