Evidence map›Paper›PMID 28275538›Full record

ArticleRespiratory medicine case reports2017

Analysis of significantly mutated genes as a clinical tool for the diagnosis in a case of lung cancer.

Yoshihiro Miyashita, Yosuke Hirotsu, Toshiharu Tsutsui, Seishi Higashi, Yusuke Sogami, Yumiko Kakizaki, Taichiro Goto, Kenji Amemiya, Toshio Oyama, Masao Omata

Abstract readCase Reports
In one paragraph

Article in Respiratory medicine case reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Detection ofCancers · 2020
    Article
  4. Article
  5. 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

10 authors.

Yoshihiro MiyashitaDepartment of Pulmonary Medicine, Yamanashi Central Hospital, Japan.
Yosuke HirotsuGenome Analysis Center, Yamanashi Central Hospital, Japan.
Toshiharu TsutsuiDepartment of Pulmonary Medicine, Yamanashi Central Hospital, Japan.
Seishi HigashiDepartment of Pulmonary Medicine, Yamanashi Central Hospital, Japan.
Yusuke SogamiDepartment of Pulmonary Medicine, Yamanashi Central Hospital, Japan.
Yumiko KakizakiDepartment of Pulmonary Medicine, Yamanashi Central Hospital, Japan.
Taichiro GotoDepartment of Pulmonary Surgery, Yamanashi Central Hospital, Japan.
Kenji AmemiyaGenome Analysis Center, Yamanashi Central Hospital, Japan.
Toshio OyamaDepartment of Pathology, Yamanashi Central Hospital, Japan.
Masao OmataGenome Analysis Center, Yamanashi Central Hospital, Japan; University of Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchoendoscopic examination is not necessarily comfortable procedure and limited by its sensitivity, depending on the location and size of the tumor lesion. Patients with a non-diagnostic bronchoendoscopic examination often undergo further invasive examinations. Non-invasive diagnostic tool of lung cancer is desired. A 72-year-old man had a 3.0 cm × 2.5 cm mass lesion in the segment B1 of right lung. Cytological examination of sputum, bronchial washing and curetted samples were all "negative". We could confirm a diagnosis of lung cancer after right upper lung lobe resection pathologically, and also obtained concordant results by genomic analysis using cytological negative samples from airways collected before operation. Genetic analysis showed mutational profiles of both resected specimens and samples from airways were identical. These data clearly indicated the next generation sequencing (NGS) may yield a diagnostic tool to conduct "precision medicine".

Indexed as

BronchoendoscopyGenomic analysisLung cancerNext generation sequencingPrecision medicine

Identifiers

PMID28275538
PMCPMC5328745

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.