Evidence map›Paper›PMID 30201497›Full record

ArticleThe American journal of pathology2018

Global and Targeted miRNA Expression Profiling in Clear Cell Renal Cell Carcinoma Tissues Potentially Links miR-155-5p and miR-210-3p to both Tumorigenesis and Recurrence.

Jinhua Zhang, Yuanqing Ye, David W Chang, Shu-Hong Lin, Maosheng Huang, Nizar M Tannir, Surena Matin, Jose A Karam, Christopher G Wood, Zhi-Nan Chen and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  15. A Review of Recent Research on the Role of MicroRNAs in Renal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Review
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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

11 authors at 2 institutions in 2 countries.

Jinhua ZhangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas; College of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, China.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
David W ChangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Shu-Hong LinDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Maosheng HuangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Nizar M TannirDepartment of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Surena MatinDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jose A KaramDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Christopher G WoodDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zhi-Nan ChenCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, China; Cell Engineering Research Center and Department of Cell Biology, State Key Laboratory of Cancer, Fourth Military Medical University, Xi'an, China.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: xwu@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USBeijing Jiaotong University · CN

Funding

Molecular pathways linking obesity and RCC tumorigenesis (PQ1)R01CA170298 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GU, JIAN · 2012 to 2015
$2.1M
NCI NIH HHS R01 CA170298
6 · The paper itself

Abstract

About 30% of patients undergoing nephrectomy for renal cell carcinoma (RCC) experience disease recurrence. We profiled miRNAs dysregulated in clear-cell (cc) RCC tumor tissues and predictive of recurrence. The expression levels of 800 miRNAs were assessed in paired tumor and normal tissues from a discovery cohort of 18 ccRCC patients. miRNAs found to be differentially expressed were examined in a validation set of 205 patients, using real-time quantitative PCR. Tumor-normal data from 64 patients in The Cancer Genome Atlas were used for external validation. Twenty-eight miRNAs were consistently dysregulated in tumor tissues. On dichotomized analysis, patients with high levels of miR-155-5p and miR-210-3p displayed an increased risk for ccRCC recurrence (hazard ratio, 2.64; 95% CI, 1.49 to 4.70; P = 0.0009; and hazard ratio, 1.80; 95% CI, 1.04 to 3.12; P = 0.036, respectively) and a shorter median recurrence-free survival time than did patients with low levels [P < 0.01 (log rank test)]. A risk score was generated based on the expression levels of miR-155-5p and miR-210-3p, and the trend test was significant (P = 0.005). On pathway analysis, target genes regulated by miR-155-5p and miR-210-3p were mainly enriched in inflammation-related pathways. We identified and validated multiple miRNAs dysregulated in ccRCC tissues; miR-155-5p and miR-210-3p were predictive of ccRCC recurrence, pointing to potential utility as biomarkers and underlying biological mechanisms.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinogenesisCarcinoma, Renal CellCase-Control StudiesCohort StudiesFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMaleMicroRNAsBiomarkers, TumorMicroRNAsMIRN155 microRNA, humanMIRN210 microRNA, human

Identifiers

PMID30201497
PMCPMC6207099
OpenAlexW2892004398

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.