Evidence map›Paper›PMID 31795960›Full record

SynthesisBMC cancer2019

Comparison of tumour and serum specific microRNA changes dissecting their role in pancreatic ductal adenocarcinoma: a meta-analysis.

Bishnupriya Chhatriya, Moumita Mukherjee, Sukanta Ray, Piyali Sarkar, Shatakshee Chatterjee, Debashis Nath, Kshaunish Das, Srikanta Goswami

Open access · goldAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 36% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

8 authors at 4 institutions in 1 country.

Bishnupriya ChhatriyaNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Moumita MukherjeeNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Sukanta RaySchool of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Piyali SarkarPresent Address: Tata Medical Centre, Kolkata, West Bengal, India.
Shatakshee ChatterjeeNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Debashis NathIndira Gandhi Memorial Hospital, Agartala, Tripura, India.
Kshaunish DasSchool of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Srikanta GoswamiNational Institute of Biomedical Genomics, Kalyani, West Bengal, India. sg1@nibmg.ac.in.ORCID http://orcid.org/0000-0003-4663-6162
National Institute of Biomedical Genomics · INInstitute of Post Graduate Medical Education and Research · INTata Medical Center · INTripura Medical College & Dr. B.R. Ambedkar Memorial Teaching Hospital · IN

Funding

Department of Biotechnology, Government of India BT/231/NE/TBP/2011
6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is considered as one of the most aggressive cancers lacking efficient early detection biomarkers. Circulating miRNAs are now being considered to have potency to be used as diagnostic and prognostic biomarkers in different diseases as well as cancers. In case of cancer, a fraction of the circulating miRNAs is actually derived from the tumour tissue. This fraction would function as stable biomarker for the disease and also would contribute to the understanding of the disease development. There are not many studies exploring this aspect in pancreatic cancer and even there is not much overlap of results between existing studies.

methodsIn order to address that gap, we performed a miRNA microarray analysis to identify differentially expressed circulating miRNAs between PDAC patients and normal healthy individuals and also found two more similar datasets to perform a meta-analysis using a total of 182 PDAC patients and 170 normal, identifying a set of miRNAs significantly altered in patient serum. Next, we found five datasets studying miRNA expression profile in tumour tissues of PDAC patients as compared to normal pancreas and performed a second meta-analysis using data from a total of 183 pancreatic tumour and 47 normal pancreas to detect significantly deregulated miRNAs in pancreatic carcinoma. Comparison of these two lists and subsequent search for their target genes which were also deregulated in PDAC in inverse direction to miRNAs was done followed by investigation of their role in disease development.

resultsWe identified 21 miRNAs altered in both pancreatic tumour tissue and serum. While deciphering the functions of their target genes, we characterized key miR-Gene interactions perturbing the biological pathways. We identified important cancer related pathways, pancreas specific pathways, AGE-RAGE signaling, prolactin signaling and insulin resistance signaling pathways among the most affected ones. We also reported the possible involvement of crucial transcription factors in the process.

conclusionsOur study identified a unique meta-signature of 21 miRNAs capable of explaining pancreatic carcinogenesis and possibly holding the potential to act as biomarker for the disease detection which could be explored further.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalCirculating MicroRNAHumansMicroRNAsPancreatic NeoplasmsBiomarkers, TumorCirculating MicroRNAMicroRNAsMeta-analysismicroRNAPancreatic ductal adenocarcinomaSerumTumour

Identifiers

PMID31795960
PMCPMC6891989
OpenAlexW2994423853

What OpenQuestion holds

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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.