Evidence map›Paper›PMID 21631264›Full record

ReviewArchives of pathology & laboratory medicine2011

Molecular signatures of pancreatic cancer.

Seung-Mo Hong, Jason Y Park, Ralph H Hruban, Michael Goggins

Abstract readReview
In one paragraph

Review in Archives of pathology & laboratory medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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15 more citing papers are in PubMed but not listed here.

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

4 authors.

Seung-Mo HongDepartment of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Jason Y Park
Ralph H Hruban
Michael Goggins

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI LENNON, ANNE MARIE · 1993 to 2022
$54.6M
Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M. · 2004 to 2018
$32.7M
Pancreatic Cancer Genetic Epidemiology Consortium (PACGENE)R01CA097075 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M. · 2002 to 2012
$15.8M
Markers of Early Pancreatic CancerR01CA120432 · NCI · JOHNS HOPKINS UNIVERSITY · PI GOGGINS, MICHAEL G. · 2006 to 2010
$1.4M
NCI NIH HHS P50 CA062924NCI NIH HHS P50 CA102701NCI NIH HHS P50-CA62924NCI NIH HHS R01 CA097075NCI NIH HHS R01 CA120432NCI NIH HHS R01-CA120432NCI NIH HHS R01-CA97075
6 · The paper itself

Abstract

contextThe introduction of genome- and epigenome-wide screening techniques has dramatically improved our understanding of the molecular mechanisms underlying the development of pancreatic cancer. There are now 3 recognized histologic precursors of pancreatic cancer: pancreatic intraepithelial neoplasia, intraductal papillary mucinous neoplasm, and mucinous cystic neoplasm. Each of these precursor lesions is associated with specific molecular alterations.

objectiveTo understand the molecular characteristics of pancreatic ductal adenocarcinoma and its precursor lesions. DATA SOURCES: PubMed (US National Library of Medicine).

conclusionsIn this review, we briefly summarize recent research findings on the genetics and epigenetics of pancreatic cancer. In addition, we characterize these molecular alterations in the context of the histologic subtypes of pancreatic cancer.

Indexed as

Epigenesis, GeneticBiomarkers, TumorCarcinoma in SituCarcinoma, Pancreatic DuctalCombined Modality TherapyGene Expression Regulation, NeoplasticHumansPancreatic NeoplasmsPrecancerous ConditionsPubMedBiomarkers, Tumor

Identifiers

PMID21631264
PMCPMC3107523

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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.