Evidence map›Paper›PMID 26314882›Full record

ReviewInternational journal of oncology2015

Emerging roles of microRNAs in pancreatic cancer diagnosis, therapy and prognosis (Review).

Ramadevi Subramani, Laxman Gangwani, Sushmita Bose Nandy, Arunkumar Arumugam, Munmun Chattopadhyay, Rajkumar Lakshmanaswamy

Abstract readReview
In one paragraph

Review in International journal of oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
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  20. MicroRNAs in pancreatic cancer diagnosis and therapy.Central-European journal of immunology · 2018
    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

6 authors.

Ramadevi SubramaniDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.
Laxman GangwaniDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.
Sushmita Bose NandyDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.
Arunkumar ArumugamDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.
Munmun ChattopadhyayDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.
Rajkumar LakshmanaswamyDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, 5001 El Paso Drive, El Paso, TX 79905, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the leading causes of cancer related death. Increasing incidence and mortality indicates a lack of detection and post diagnostic management of this disease. Recent evidences suggest that, miRNAs are very attractive target molecules that can serve as biomarkers for predicting development and progression of pancreatic cancer. Furthermore, miRNAs are also promising therapeutic targets for pancreatic cancer. The objective of the present review is to discuss the significance of miRNA in pancreatic cancer development, diagnosis, therapy and prognosis. We extracted and compiled the useful information from PubMed database, which satisfied our criteria for analysis of miRNAs in pancreatic cancer diagnosis, therapy and prognosis. A summary of the most important miRNAs known to regulate pancreatic tumorigenesis is provided. The review also provides a collection of evidence that show miRNA profiles of biofluids hold much promise for use as biomarkers to predict and detect development of pancreatic cancer in its early stages. Identification of key miRNA networks in pancreatic cancer will provide long-awaited diagnostic/therapeutic/prognostic tools for early detection, better treatment options, and extended life expectancy and quality of life in PDAC patients.

Indexed as

Biomarkers, TumorHumansMicroRNAsPancreatic NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID26314882
PMCPMC4583517

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.