Evidence map›Paper›PMID 38457233›Full record

ArticleCancer medicine2024

Clinical utility of the Oncomine Dx Target Test multi-CDx system and the possibility of utilizing those original sequence data.

Ayaka Saito, Hideki Terai, Tae-Jung Kim, Katsura Emoto, Ryutaro Kawano, Kohei Nakamura, Hideyuki Hayashi, Hatsuyo Takaoka, Akihiko Ogata, Katsuhito Kinoshita and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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  4. Review
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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

23 authors at 3 institutions in 2 countries.

Ayaka SaitoDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Hideki TeraiDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.ORCID 0000-0002-1118-1930
Tae-Jung KimDepartment of Hospital Pathology, Yeouido St. Mary Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Katsura EmotoDivision of Diagnostic Pathology, School of Medicine, Keio University, Tokyo, Japan.
Ryutaro KawanoGenomics Unit, Keio Cancer Center, School of Medicine, Keio University, Tokyo, Japan.
Kohei NakamuraGenomics Unit, Keio Cancer Center, School of Medicine, Keio University, Tokyo, Japan.ORCID 0000-0002-5162-7132
Hideyuki HayashiGenomics Unit, Keio Cancer Center, School of Medicine, Keio University, Tokyo, Japan.
Hatsuyo TakaokaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Akihiko OgataDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Katsuhito KinoshitaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Fumimaro ItoDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Lisa ShigematsuDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Masahiko OkadaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Takahiro FukushimaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Akifumi MitsuishiDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Taro ShinozakiDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Keiko OhginoDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Shinnosuke IkemuraCancer Center, School of Medicine, Keio University, Tokyo, Japan.
Hiroyuki YasudaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Ichiro KawadaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Kenzo SoejimaDepartment of Respiratory Medicine, Graduate School of Medicine, University of Yamanashi, Yamanashi, Japan.
Hiroshi NishiharaDivision of Diagnostic Pathology, School of Medicine, Keio University, Tokyo, Japan.
Koichi FukunagaDepartment of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.
Keio University · JPKeio University Hospital · JPThe Catholic University of Korea Yeouido St. Mary's Hospital · KR

Funding

Japan Society for the Promotion of Science 22K08289MSD Life Science Foundation, Public Interest Incorporated FoundationNational Research Foundation of Korea 2022R1A2C1092956
6 · The paper itself

Abstract

backgroundCompanion diagnostic tests play a crucial role in guiding treatment decisions for patients with non-small cell lung cancer (NSCLC). The Oncomine Dx Target Test (ODxTT) Multi-CDx System has emerged as a prominent companion diagnostic method. However, its efficacy in detecting driver gene mutations, particularly rare mutations, warrants investigation.

aimsThis study aimed to assess the performance of the ODxTT in detecting driver gene mutations in NSCLC patients. Specifically, we aimed to evaluate its sensitivity in detecting epidermal growth factor receptor (EGFR) mutations, a key determinant of treatment selection in NSCLC. MATERIALS AND

methodsWe conducted a retrospective analysis of NSCLC patients who underwent testing with the ODxTT at Keio University Hospital between May 2020 and March 2022. Patient samples were subjected to both DNA and RNA tests. Driver gene mutation status was assessed, and instances of missed mutations were meticulously examined.

resultsOf the 90 patients, five had nucleic acid quality problems, while 85 underwent both DNA and RNA tests. Driver gene mutations were detected in 56/90 (62.2%) patients. Of the 34 patient specimens, driver mutations were not detected using the ODxTT; however, epidermal growth factor receptor (EGFR) mutations were detected using polymerase chain reaction-based testing in two patients, and a KRAS mutation was detected by careful examination of the sequence data obtained using the ODxTT in one patient. For the above three cases, carefully examining the gene sequence information obtained using the ODxTT could identify driver mutations that were not mentioned in the returned test results. Additionally, we confirmed comparable instances of overlook results for EGFR mutations in the dataset from South Korea, implying that this type of oversight could occur in other countries using the ODxTT. EGFR mutation was missed in ODxTT in Japan (6.3%, 2/32), South Korea (2.0%, 1/49), and overall (3.7%, 3/81).

conclusionEven if sufficient tumor samples are obtained, rare EGFR mutations (which are excluded from the ODxTT's genetic mutation list) might not be detected using the current ODxTT system due to the program used for sequence analysis. However, such rare EGFR mutations can still be accurately detected on ODxTT's sequence data using next-generation sequencing.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsDNAErbB ReceptorsHumansMutationRetrospective StudiesRNADNAErbB ReceptorsRNAEGFR exon 19 deletionlung cancerODxTTPNA-LNA clamp

Identifiers

PMID38457233
PMCPMC10922029
OpenAlexW4392605383

What OpenQuestion holds

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LicenceCC BY
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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.