Evidence map›Paper›PMID 33185331›Full record

ArticleThoracic cancer2021

Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples.

Daiji Nemoto, Tomoyuki Yokose, Kayoko Katayama, Shuji Murakami, Terufumi Kato, Haruhiro Saito, Masaki Suzuki, Daisuke Eriguchi, Joji Samejima, Takuya Nagashima and 4 more

Abstract read
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Daiji NemotoDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.ORCID 0000-0002-2391-2489
Tomoyuki YokoseDepartment of Pathology, Kanagawa Cancer Center, Yokohama, Japan.
Kayoko KatayamaUnit of Cancer Survivorship and Education, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Shuji MurakamiDepartment of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Japan.ORCID 0000-0001-5104-5493
Terufumi KatoDepartment of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Japan.
Haruhiro SaitoDepartment of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Japan.ORCID 0000-0002-8541-8339
Masaki SuzukiDepartment of Pathology, Kanagawa Cancer Center, Yokohama, Japan.
Daisuke EriguchiDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Joji SamejimaDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Takuya NagashimaDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Hiroyuki ItoDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Kouzo YamadaDepartment of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Japan.
Haruhiko NakayamaDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Munetaka MasudaDepartment of Surgery, Yokohama City University, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Oncomine Dx Target Test (ODxTT) is a next-generation sequencing-based companion diagnostic test which has been recently developed; however, its analysis success rate could be improved, especially for small samples. The aim of this study was to identify the pathological factors associated with biopsy specimens that affect the analysis success rate of ODxTT.

methodsWe retrospectively investigated 119 cases subjected to ODxTT at Kanagawa Cancer Center. Data pertaining to the results of BRAF V600E mutation analysis in ODxTT and pathological factors based on microscope slides were collected. Pathological factors including tissue surface area, tumor cell count, and tumor content rate were assessed. We constructed receiver operating characteristic curves and determined the optimal cutoff values of each pathological factor. Multivariate logistic analysis was used to identify significant factors.

resultsA total of 98 of 119 samples were successfully analyzed (75.6%). The tissue surface area and tumor cell count were significantly higher in the group associated with analysis success (P < 0.001 and P = 0.011, respectively), and their optimal cutoff values were 1.04 mm

conclusionsSelecting samples with a tissue surface area > 1.04 mm KEY POINTS: Significant findings of the study: We found that a tissue surface area > 1.04 mm WHAT THIS STUDY ADDS: It is sometimes necessary to assess genetic alterations with a small biopsy sample in daily practice. The criteria mentioned above will help to determine which tests should be performed, ODxTT or multiple single-gene testing.

Indexed as

Biomarkers, TumorBiopsyCarcinoma, Non-Small-Cell LungHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsRetrospective StudiesBiomarkers, TumorBiopsymolecular diagnostic testingnext generation sequencingnon-small cell lung cancer

Identifiers

PMID33185331
PMCPMC7812068

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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.