Evidence map›Paper›PMID 24069199›Full record

ArticlePloS one2013

Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts.

Ayako Suzuki, Sachiyo Mimaki, Yuki Yamane, Akikazu Kawase, Koutatsu Matsushima, Makito Suzuki, Koichi Goto, Sumio Sugano, Hiroyasu Esumi, Yutaka Suzuki and 1 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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

28 citing papers in PubMed.

  1. Article
  2. Review
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  9. Article
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  11. Article
  12. Review
  13. Sequencing and phasing cancer mutations in lung cancers using a long-read portable sequencer.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Gene polymorphisms and oral cancer risk in tobacco habitués.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  18. TMC-SNPdb: an Indian germline variant database derived from whole exome sequences.Database : the journal of biological databases and curation · 2016
    Article
  19. Article
  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

11 authors.

Ayako SuzukiDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Sachiyo Mimaki
Yuki Yamane
Akikazu Kawase
Koutatsu Matsushima
Makito Suzuki
Koichi Goto
Sumio Sugano
Hiroyasu Esumi
Yutaka Suzuki
Katsuya Tsuchihara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed whole-exome sequencing data from 97 Japanese lung adenocarcinoma patients and identified several putative cancer-related genes and pathways. Particularly, we observed that cancer-related mutation patterns were significantly different between different ethnic groups. As previously reported, mutations in the EGFR gene were characteristic to Japanese, while those in the KRAS gene were more frequent in Caucasians. Furthermore, during the course of this analysis, we found that cancer-specific somatic mutations can be detected without sequencing normal tissue counterparts. 64% of the germline variants could be excluded using a total of 217 external Japanese exome datasets. We also show that a similar approach may be used for other three ethnic groups, although the discriminative power depends on the ethnic group. We demonstrate that the ATM gene and the PAPPA2 gene could be identified as cancer prognosis related genes. By bypassing the sequencing of normal tissue counterparts, this approach provides a useful means of not only reducing the time and cost of sequencing but also analyzing archive samples, for which normal tissue counterparts are not available.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAsian PeopleFemaleHumansLung NeoplasmsMaleMutation

Identifiers

PMID24069199
PMCPMC3772023

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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.