Evidence map›Paper›PMID 21197409›Full record

ArticleJournal of biomedicine & biotechnology2011

Diagnosis and prognostication of ductal adenocarcinomas of the pancreas based on genome-wide DNA methylation profiling by bacterial artificial chromosome array-based methylated CpG island amplification.

Masahiro Gotoh, Eri Arai, Saori Wakai-Ushijima, Nobuyoshi Hiraoka, Tomoo Kosuge, Fumie Hosoda, Tatsuhiro Shibata, Tadashi Kondo, Sana Yokoi, Issei Imoto and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 9 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

12 authors at 3 institutions in 2 countries.

Masahiro GotohPathology Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
Eri Arai
Saori Wakai-Ushijima
Nobuyoshi Hiraoka
Tomoo Kosuge
Fumie Hosoda
Tatsuhiro Shibata
Tadashi Kondo
Sana Yokoi
Issei Imoto
Johji Inazawa
Yae Kanai
National Cancer Research Institute · GBTokyo Medical and Dental University · JPChiba Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To establish diagnostic criteria for ductal adenocarcinomas of the pancreas (PCs), bacterial artificial chromosome (BAC) array-based methylated CpG island amplification was performed using 139 tissue samples. Twelve BAC clones, for which DNA methylation status was able to discriminate cancerous tissue (T) from noncancerous pancreatic tissue in the learning cohort with a specificity of 100%, were identified. Using criteria that combined the 12 BAC clones, T-samples were diagnosed as cancers with 100% sensitivity and specificity in both the learning and validation cohorts. DNA methylation status on 11 of the BAC clones, which was able to discriminate patients showing early relapse from those with no relapse in the learning cohort with 100% specificity, was correlated with the recurrence-free and overall survival rates in the validation cohort and was an independent prognostic factor by multivariate analysis. Genome-wide DNA methylation profiling may provide optimal diagnostic markers and prognostic indicators for patients with PCs.

Indexed as

CpG IslandsDNA MethylationAdultAgedAged, 80 and overCarcinoma, Pancreatic DuctalChromosomes, Artificial, BacterialCohort StudiesFemaleGene AmplificationGenome-Wide Association StudyHumansMaleMiddle AgedMultivariate AnalysisOligonucleotide Array Sequence Analysis

Identifiers

PMID21197409
PMCPMC3010700
OpenAlexW1984030360

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.