Evidence map›Paper›PMID 24839966›Full record

ArticleCancer biology & therapy2014

Pancreatic Cancer Database: an integrative resource for pancreatic cancer.

Joji Kurian Thomas, Min-Sik Kim, Lavanya Balakrishnan, Vishalakshi Nanjappa, Rajesh Raju, Arivusudar Marimuthu, Aneesha Radhakrishnan, Babylakshmi Muthusamy, Aafaque Ahmad Khan, Sruthi Sakamuri and 10 more

Open access · hybridAbstract readLetter
In one paragraph

Article in Cancer biology & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  14. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
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  17. Article
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  20. Article
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

20 authors at 9 institutions in 3 countries.

Joji Kurian ThomasInstitute of Bioinformatics; International Technology Park; Bangalore, India; Amrita School of Biotechnology; Amrita Vishwa Vidyapeetham; Kollam, Kerala India.
Min-Sik KimMcKusick-Nathans Institute of Genetic Medicine; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Biological Chemistry; Johns Hopkins University School of Medicine; Baltimore, MD USA.
Lavanya BalakrishnanInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Vishalakshi NanjappaInstitute of Bioinformatics; International Technology Park; Bangalore, India; Amrita School of Biotechnology; Amrita Vishwa Vidyapeetham; Kollam, Kerala India.
Rajesh RajuInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Arivusudar MarimuthuInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Aneesha RadhakrishnanInstitute of Bioinformatics; International Technology Park; Bangalore, India; Department of Biochemistry and Molecular Biology; School of Life Sciences; Pondicherry University; Puducherry, India.
Babylakshmi MuthusamyInstitute of Bioinformatics; International Technology Park; Bangalore, India; Bioinformatics Centre; School of Life Sciences; Pondicherry University; Puducherry, India.
Aafaque Ahmad KhanInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Sruthi SakamuriMcKusick-Nathans Institute of Genetic Medicine; Johns Hopkins University School of Medicine; Baltimore, MD USA.
Shantal Gupta TankalaArmed Forces Medical College; Pune, India.
Mukul SingalGovernment Medical College and Hospital; Chandigarh, India.
Bipin NairAmrita School of Biotechnology; Amrita Vishwa Vidyapeetham; Kollam, Kerala India.
Ravi SirdeshmukhInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Aditi ChatterjeeInstitute of Bioinformatics; International Technology Park; Bangalore, India.
T S Keshava PrasadInstitute of Bioinformatics; International Technology Park; Bangalore, India; Amrita School of Biotechnology; Amrita Vishwa Vidyapeetham; Kollam, Kerala India.
Anirban MaitraDepartments of Pathology and Translational Molecular Pathology; Sheikh Ahmed Bin Zayed Al Nahyan Center for Pancreatic Cancer Research; UT MD Anderson Cancer Center; Houston, TX USA.
Harsha GowdaInstitute of Bioinformatics; International Technology Park; Bangalore, India.
Ralph H HrubanDepartment of Pathology; Sol Goldman Pancreatic Cancer Research Center; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Oncology; Johns Hopkins University School of Medicine; Baltimore, MD USA.
Akhilesh PandeyMcKusick-Nathans Institute of Genetic Medicine; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Biological Chemistry; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Pathology; Sol Goldman Pancreatic Cancer Research Center; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Oncology; Johns Hopkins University School of Medicine; Baltimore, MD USA.
Institute of Bioinformatics · INScience & Technology Park (Czechia) · CZAmrita Vishwa Vidyapeetham · INJohns Hopkins Medicine · USArmed Forces Medical College · INCancer Research Center · USGovernment Medical College and Hospital · INThe University of Texas MD Anderson Cancer Center · USUniversity of Baltimore · US

Funding

Translational Research Enhancement CoreP30DK089502 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI ZACHOS, NICHOLAS CONSTANTINE · 2011 to 2020
$12.0M
NIDDK NIH HHS P30 DK089502
6 · The paper itself

Abstract

Pancreatic cancer is the fourth leading cause of cancer-related death in the world. The etiology of pancreatic cancer is heterogeneous with a wide range of alterations that have already been reported at the level of the genome, transcriptome, and proteome. The past decade has witnessed a large number of experimental studies using high-throughput technology platforms to identify genes whose expression at the transcript or protein levels is altered in pancreatic cancer. Based on expression studies, a number of molecules have also been proposed as potential biomarkers for diagnosis and prognosis of this deadly cancer. Currently, there are no repositories which provide an integrative view of multiple Omics data sets from published research on pancreatic cancer. Here, we describe the development of a web-based resource, Pancreatic Cancer Database (http://www.pancreaticcancerdatabase.org), as a unified platform for pancreatic cancer research. PCD contains manually curated information pertaining to quantitative alterations in miRNA, mRNA, and proteins obtained from small-scale as well as high-throughput studies of pancreatic cancer tissues and cell lines. We believe that PCD will serve as an integrative platform for scientific community involved in pancreatic cancer research.

Indexed as

Databases, GeneticHumansMicroRNAsPancreatic NeoplasmsProteinsRNA, MessengerMicroRNAsProteinsRNA, Messengerbiomarkerbody fluidschronic pancreatitissecreted

Identifiers

PMID24839966
PMCPMC4119079
OpenAlexW2059584025

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.