Evidence map›Paper›PMID 33160365›Full record

ArticleJournal of translational medicine2020

Transcriptome analysis identifies putative multi-gene signature distinguishing benign and malignant pancreatic head mass.

Bishnupriya Chhatriya, Moumita Mukherjee, Sukanta Ray, Barsha Saha, Somdatta Lahiri, Sandip Halder, Indranil Ghosh, Sujan Khamrui, Kshaunish Das, Samsiddhi Bhattacharjee and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  10. Frontiers in oncology · 2021
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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 4 institutions in 1 country.

Bishnupriya ChhatriyaNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India.
Moumita MukherjeeNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India.
Sukanta RaySchool of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Barsha SahaNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India.
Somdatta LahiriDepartment of Surgery, R G Kar Medical College and Hospital, Kolkata, West Bengal, India.
Sandip HalderDepartment of Surgery, R G Kar Medical College and Hospital, Kolkata, West Bengal, India.
Indranil GhoshChittaranjan National Cancer Institute, Kolkata, West Bengal, India.
Sujan KhamruiSchool of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Kshaunish DasSchool of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Samsiddhi BhattacharjeeNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India.
Saroj Kant MohapatraNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India.
Srikanta GoswamiNational Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani, 741251, West Bengal, India. sg1@nibmg.ac.in.ORCID 0000-0003-4663-6162
National Institute of Biomedical Genomics · INInstitute of Post Graduate Medical Education and Research · INR. G. Kar Medical College and Hospital · INChittaranjan National Cancer Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost often, the patients with pancreatic diseases are presented with a mass in pancreatic head region and existing methods of diagnosis fail to confirm whether the head mass is malignant or benign. As subsequent management of the disease hugely depends on the correct diagnosis, we wanted to explore possible biomarkers which could distinguish benign and malignant pancreatic head masses.

methodsIn order to address that gap, we performed a case-control study to identify genome-wide differentially expressed coding and noncoding genes between pancreatic tissues collected from benign and malignant head masses. These genes were next shortlisted using stringent criteria followed by selection of top malignancy specific genes. They subsequently got validated by quantitative RT-PCR and also in other patient cohorts. Survival analysis and ROC analysis were also performed.

resultsWe identified 55 coding and 13 noncoding genes specific for malignant pancreatic head masses. Further shortlisting and validation, however, resulted in 5 coding genes as part of malignancy specific multi-gene signature, which was validated in three independent patient cohorts of 145 normal and 153 PDAC patients. We also found that overexpression of these genes resulted in survival disadvantage in the patients and ROC analysis identified that combination of 5 coding genes had the AUROC of 0.94, making them potential biomarker.

conclusionsOur study identified a multi-gene signature comprising of 5 coding genes (CDCA7, DLGAP5, FOXM1, TPX2 and OSBPL3) to distinguish malignant head masses from benign ones.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorCase-Control StudiesGene Expression ProfilingHumansTranscriptomeBiomarkers, TumorBiomarker potentialPancreatic head massSignatureTranscriptome

Identifiers

PMID33160365
PMCPMC7648960
OpenAlexW3095815578

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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.