Evidence map›Paper›PMID 27688207›Full record

ReviewMolecular diagnosis & therapy2017

Applications of Extracellular RNAs in Oncology.

Jonathan R Thompson, Jing Zhu, Deepak Kilari, Liang Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 1 institution in 1 country.

Jonathan R ThompsonDivision of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Jing ZhuDepartment of Pathology and MCW Cancer Center, TBRC-C4970, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Deepak KilariDivision of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Liang WangDepartment of Pathology and MCW Cancer Center, TBRC-C4970, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA. liwang@mcw.edu.
Medical College of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular RNAs consist of coding and non-coding transcripts released from all cell types, which are involved in multiple cellular processes, predominantly through regulation of gene expression. Recent advances have helped us better understand the functions of these molecules, particularly microRNAs (miRNAs). Numerous pre-clinical and human studies have demonstrated that miRNAs are dysregulated in cancer and contribute to tumorigenesis and metastasis. miRNA profiling has extensively been evaluated as a non-invasive method for cancer diagnosis, prognostication, and assessment of response to cancer therapies. Broader applications for miRNAs in these settings are currently under active development. Investigators have also moved miRNAs into the realm of cancer therapy. miRNA antagonists targeting miRNAs that silence tumor suppressor genes have shown promising pre-clinical activity. Alternatively, miRNA mimics that silence oncogenes are also under active investigation. These miRNA-based cancer therapies are in early development, but represent novel strategies for clinical management of human cancer.

Indexed as

Biomarkers, TumorCell Transformation, NeoplasticGene Expression Regulation, NeoplasticGene SilencingHumansMicroRNAsNeoplasmsOncogenesPrognosisBiomarkers, TumorMicroRNAs

Identifiers

PMID27688207
OpenAlexW2526320115

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.