Evidence map›Paper›PMID 21533028›Full record

ArticlePloS one2011

Artificially induced epithelial-mesenchymal transition in surgical subjects: its implications in clinical and basic cancer research.

Kazuhiko Aoyagi, Keiko Minashi, Hiroyasu Igaki, Yuji Tachimori, Takao Nishimura, Norikazu Hokamura, Akio Ashida, Hiroyuki Daiko, Atsushi Ochiai, Manabu Muto and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  12. Gene expression and pathway analysis ofWorld journal of stem cells · 2016
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  19. Quality Visualization of Microarray Datasets Using Circos.Microarrays (Basel, Switzerland) · 2012
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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

13 authors at 2 institutions in 1 country.

Kazuhiko AoyagiDivision of Integrative Omics and Bioinformatics, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Keiko Minashi
Hiroyasu Igaki
Yuji Tachimori
Takao Nishimura
Norikazu Hokamura
Akio Ashida
Hiroyuki Daiko
Atsushi Ochiai
Manabu Muto
Atsushi Ohtsu
Teruhiko Yoshida
Hiroki Sasaki
National Cancer Center Hospital East · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical samples have long been used as important subjects for cancer research. In accordance with an increase of neoadjuvant therapy, biopsy samples have recently become imperative for cancer transcriptome. On the other hand, both biopsy and surgical samples are available for expression profiling for predicting clinical outcome by adjuvant therapy; however, it is still unclear whether surgical sample expression profiles are useful for prediction via biopsy samples, because little has been done about comparative gene expression profiling between the two kinds of samples. METHODOLOGY AND

findingsA total of 166 samples (77 biopsy and 89 surgical) of normal and malignant lesions of the esophagus were analyzed by microarrays. Gene expression profiles were compared between biopsy and surgical samples. Artificially induced epithelial-mesenchymal transition (aiEMT) was found in the surgical samples, and also occurred in mouse esophageal epithelial cell layers under an ischemic condition. Identification of clinically significant subgroups was thought to be disrupted by the disorder of the expression profile through this aiEMT. CONCLUSION AND SIGNIFICANCE: This study will evoke the fundamental misinterpretation including underestimation of the prognostic evaluation power of markers by overestimation of EMT IN past cancer research, and will furnish some advice for the near future as follows: 1) Understanding how long the tissues were under an ischemic condition. 2) Prevalence of biopsy samples for in vivo expression profiling with low biases on basic and clinical research. 3) Checking cancer cell contents and normal- or necrotic-tissue contamination in biopsy samples for prevalence.

Indexed as

Epithelial-Mesenchymal TransitionSurgical Procedures, OperativeBiopsyGene Expression ProfilingHumansNeoplasmsOligonucleotide Array Sequence Analysis

Identifiers

PMID21533028
PMCPMC3080870
OpenAlexW1979498628

What OpenQuestion holds

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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.