Evidence map›Paper›PMID 28874676›Full record

ArticleScientific reports2017

Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Jennifer B Permuth, Dung-Tsa Chen, Sean J Yoder, Jiannong Li, Andrew T Smith, Jung W Choi, Jongphil Kim, Yoganand Balagurunathan, Kun Jiang, Domenico Coppola and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN).Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  10. Review
  11. Review
  12. Clinical and Molecular Attributes and Evaluation of Pancreatic Cystic Neoplasm.Biochimica et biophysica acta. Reviews on cancer · 2023
    Review
  13. Review
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Pancreatic cancer in 2021: What you need to know to win.World journal of gastroenterology · 2021
    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

19 authors at 3 institutions in 1 country.

Jennifer B PermuthDepartments of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA. jenny.permuth@moffitt.org.
Dung-Tsa ChenBiostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Sean J YoderMolecular Genomics Core Facility, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Jiannong LiBiostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Andrew T SmithMolecular Genomics Core Facility, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Jung W ChoiDiagnostic Imaging and Interventional Radiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Jongphil KimBiostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Yoganand BalagurunathanCancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.ORCID 0000-0002-5598-4727
Kun JiangAnatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Domenico CoppolaAnatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Barbara A CentenoAnatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Jason KlapmanGastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Pam HodulGastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Florian A KarrethMolecular Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Jose G TrevinoDepartment of Surgery, Division of General Surgery, University of Florida Health Sciences Center, Gainesville, Florida, USA.
Nipun MerchantDepartment of Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA.
Anthony MaglioccoAnatomic Pathology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Mokenge P MalafaGastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Robert GilliesCancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.ORCID 0000-0002-8888-7747
Moffitt Cancer Center · USUniversity of Florida Health · USUniversity of Miami · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease that lacks effective biomarkers for early detection. We hypothesized that circulating long non-coding RNAs (lncRNAs) may act as diagnostic markers of incidentally-detected cystic PDAC precursors known as intraductal papillary mucinous neoplasms (IPMNs) and predictors of their pathology/histological classification. Using NanoString nCounter® technology, we measured the abundance of 28 candidate lncRNAs in pre-operative plasma from a cohort of pathologically-confirmed IPMN cases of various grades of severity and non-diseased controls. Results showed that two lncRNAs (GAS5 and SRA) aided in differentiating IPMNs from controls. An 8-lncRNA signature (including ADARB2-AS1, ANRIL, GLIS3-AS1, LINC00472, MEG3, PANDA, PVT1, and UCA1) had greater accuracy than standard clinical and radiologic features in distinguishing 'aggressive/malignant' IPMNs that warrant surgical removal from 'indolent/benign' IPMNs that can be observed. When the 8-lncRNA signature was combined with plasma miRNA data and quantitative 'radiomic' imaging features, the accuracy of predicting IPMN pathological classification improved. Our findings provide novel information on the ability to detect lncRNAs in plasma from patients with IPMNs and suggest that an lncRNA-based blood test may have utility as a diagnostic adjunct for identifying IPMNs and their pathology, especially when incorporated with biomarkers such as miRNAs, quantitative imaging features, and clinical data.

Indexed as

AgedBiomarkers, TumorCase-Control StudiesCell-Free Nucleic AcidsFemaleHumansMaleMiddle AgedPancreatic Intraductal NeoplasmsRNA, Long NoncodingBiomarkers, TumorCell-Free Nucleic AcidsRNA, Long Noncoding

Identifiers

PMID28874676
PMCPMC5585319
OpenAlexW2752740096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.