Evidence map›Paper›PMID 27575703›Full record

ArticleCancer science2016

Tumor volume determines the feasibility of cell-free DNA sequencing for mutation detection in non-small cell lung cancer.

Tatsuo Ohira, Kazuko Sakai, Jun Matsubayashi, Naohiro Kajiwara, Masatoshi Kakihana, Masaru Hagiwara, Masaaki Hibi, Koichi Yoshida, Junichi Maeda, Keishi Ohtani and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  11. Future Perspectives in DetectingInternational journal of molecular sciences · 2021
    Review
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  18. Circulating tumor DNA measurement provides reliable mutation detection in mice with human lung cancer xenografts.Laboratory investigation; a journal of technical methods and pathology · 2018
    Article
  19. Article
  20. Review
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.

Tatsuo OhiraDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Jun MatsubayashiDepartment of Anatomic Pathology, Tokyo Medical University, Tokyo, Japan.
Naohiro KajiwaraDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Masatoshi KakihanaDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Masaru HagiwaraDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Masaaki HibiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Koichi YoshidaDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Junichi MaedaDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Keishi OhtaniDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Toshitaka NagaoDepartment of Anatomic Pathology, Tokyo Medical University, Tokyo, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Norihiko IkedaDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Tokyo Medical University · JPKindai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) and digital PCR technologies allow analysis of the mutational profile of circulating cell-free DNA (cfDNA) in individuals with advanced lung cancer. We have now evaluated the feasibility of cfDNA sequencing for mutation detection in patients with non-small cell lung cancer at earlier stages. A total of 150 matched tumor and serum samples were collected from non-small cell lung cancer patients at stages IA-IIIA. Amplicon sequencing with DNA extracted from tumor tissue detected frequent mutations in EGFR (37% of patients), TP53 (39%), and KRAS (10%), consistent with previous findings. In contrast, NGS of cfDNA identified only EGFR, TP53, and PIK3CA mutations in three, five, and one patient, respectively, even though adequate amounts of cfDNA were extracted (median of 4936 copies/mL serum). Next-generation sequencing showed a high accuracy (98.8%) compared with droplet digital PCR for cfDNA mutation detection, suggesting that the low frequency of mutations in cfDNA was not due to a low assay sensitivity. Whereas the yield of cfDNA did not differ among tumor stages, the cfDNA mutations were detected in seven patients at stages IIA-IIIA and at T2b or T3. Tumor volume was significantly higher in the cfDNA mutation-positive patients than in the negative patients at stages T2b-T4 (159.1 ± 58.0 vs. 52.5 ± 9.9 cm

Indexed as

Tumor BurdenCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisDNA, NeoplasmHumansLung NeoplasmsMutationNeoplasm StagingPolymerase Chain ReactionDNA, NeoplasmCell-free DNAmutationnon-small cell lung cancersequencingtumor volume

Identifiers

PMID27575703
PMCPMC5132294
OpenAlexW2517284423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.