Evidence map›Paper›PMID 25105010›Full record

ArticleCell & bioscience2014

Clinical biomarkers of pulmonary carcinoid tumors in never smokers via profiling miRNA and target mRNA.

Bo Deng, Julian Molina, Marie C Aubry, Zhifu Sun, Liang Wang, Bruce W Eckloff, George Vasmatzis, Ming You, Eric D Wieben, Jin Jen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 19 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

12 authors at 3 institutions in 1 country.

Bo DengDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota, USA ; Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Julian MolinaDepartment of Oncology, Division of Medical Oncology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Marie C AubryDepartment of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Zhifu SunDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Liang WangDepartment of Pathology, Medical College of Wisconsin Cancer Center, Milwaukee, Wisconsin, USA.
Bruce W EckloffMedical Genome Facility, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
George VasmatzisDepartment of Molecular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Ming YouDepartment of Cancer Center and Toxicology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Eric D WiebenDepartment of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Jin JenDepartment of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Dennis A WigleDepartment of Surgery, Division of General Thoracic Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Ping YangDepartment of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Mayo Clinic · USMedical College of Wisconsin · USMedical College of Wisconsin Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiRNAs play key regulatory roles in cellular pathological processes. We aimed to identify clinically meaningful biomarkers in pulmonary carcinoid tumors (PCTs), a member of neuroendocrine neoplasms, via profiling miRNAs and mRNAs.

resultsFrom the total of 1145 miRNAs, we obtained 16 and 17 miRNAs that showed positive and negative fold changes (FCs, tumors vs. normal tissues) in the top 1% differentially expressed miRNAs, respectively. We uncovered the target genes that were predicted by at least two prediction tools and overlapped by at least one-half of the top miRNAs, which yielded 44 genes (FC<-2) and 56 genes (FC>2), respectively. Higher expressions of CREB5, PTPRB and COL4A3 predicted favorable disease free survival (Hazard ratio: 0.03, 0.19 and 0.36; P value: 0.03, 0.03 and 0.08). Additionally, 79 mutated genes have been found in nine PCTs where TP53 was the only repeated mutation.

conclusionWe identified that the expressions of three genes have clinical implications in PCTs. The biological functions of these biomarkers warrant further studies.

Indexed as

CarcinoidmiRNAmRNASurvival

Identifiers

PMID25105010
PMCPMC4124500
OpenAlexW2168083077

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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.