Evidence map›Paper›PMID 29970902›Full record

ArticleOncogene2018

Identification of microR-106b as a prognostic biomarker of p53-like bladder cancers by ActMiR.

Eunjee Lee, Ana Collazo-Lorduy, Mireia Castillo-Martin, Yixuan Gong, Li Wang, William K Oh, Matthew D Galsky, Carlos Cordon-Cardo, Jun Zhu

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Eunjee LeeDepartment of Genetics and Genomic Sciences, New York, NY, USA.
Ana Collazo-LorduyDepartments of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mireia Castillo-MartinDepartments of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yixuan GongThe Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Li WangDepartment of Genetics and Genomic Sciences, New York, NY, USA.
William K OhThe Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-5113-8147
Matthew D GalskyThe Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Carlos Cordon-CardoDepartments of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-0858-5624
Jun ZhuDepartment of Genetics and Genomic Sciences, New York, NY, USA. jun.zhu@mssm.edu.ORCID http://orcid.org/0000-0003-0834-8178
Icahn School of Medicine at Mount Sinai · USSema4 (United States) · USChampalimaud Foundation · PT

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Developing methods for curating multi-omics dataU01HG008451 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZHU, JUN · 2015 to 2017
$1.5M
NHGRI NIH HHS U01 HG008451NIA NIH HHS U01 AG046170U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) HG008451U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) AG046170
6 · The paper itself

Abstract

Bladder cancers can be categorized into subtypes according to gene expression patterns. P53-like muscle-invasive bladder cancers are generally resistant to cisplatin-based chemotherapy, but exhibit heterogeneous clinical outcomes with a prognosis intermediate to that of the luminal and basal subtypes. The optimal approach to p53-like tumors remains poorly defined and better means to risk-stratify such tumors and identification of novel therapeutic targets is urgently needed. MicroRNAs (miRNAs) play a key role in cancer, both in tumorigenesis and tumor progression. In the past few years, miRNA expression signatures have been reported as prognostic biomarkers in different tumor types including bladder cancer. However, miRNA's expression does not always correlate well with its activity. We previously developed ActMiR, a computational method for explicitly inferring miRNA activities. We applied ActMiR to The Cancer Genome Atlas (TCGA) bladder cancer data set and identified the activities of miR-106b-5p and miR-532-3p as potential prognostic markers of the p53-like subtype, and validated them in three independent bladder cancer data sets. Especially, higher miR-106b-5p activity was consistently associated with better survival in these data sets. Furthermore, we experimentally validated causal relationships between miR-106-5p and its predicted target genes in p53-like cell line HT1197. HT1197 cells treated with the miR-106b-5p-specific inhibitor were more invasive while cells treated with the miR-106b-5p-specific mimic were less invasive than corresponding controls. Altogether, our results suggest that miR-106b-5p activity can categorize p53-like bladder tumors into more and less-favorable prognostic groups, which provides critical information for personalizing treatment option for p53-like bladder cancers.

Indexed as

Biomarkers, TumorCell Line, TumorComputational BiologyDrug RepositioningGene Expression ProfilingHumansMicroRNAsPrognosisSmall Molecule LibrariesTumor Suppressor Protein p53Urinary Bladder NeoplasmsBiomarkers, TumorMicroRNAsMIRN106 microRNA, humanMIRN532 microRNA, humanSmall Molecule LibrariesTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID29970902
PMCPMC6212417
OpenAlexW2810505175

What OpenQuestion holds

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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.