Evidence map›Paper›PMID 34704312›Full record

ArticleCancer science2022

Real-world data on NGS using the Oncomine DxTT for detecting genetic alterations in non-small-cell lung cancer: WJOG13019L.

Shinya Sakata, Kohei Otsubo, Hisako Yoshida, Kentaro Ito, Atsushi Nakamura, Shunsuke Teraoka, Naohisa Matsumoto, Yoshimasa Shiraishi, Koji Haratani, Motohiro Tamiya and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Trastuzumab Deruxtecan in Patients WithJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
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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

18 authors.

Shinya SakataDepartment of Respiratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Kohei OtsuboDepartment of Respiratory Medicine, Kitakyushu Municipal Medical Center, Kitakyushu, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-9476-8840
Hisako YoshidaDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan.
Kentaro ItoRespiratory Center, Matsusaka Municipal Hospital, Matsusaka, Mie, Japan.ORCID https://orcid.org/0000-0001-5461-9894
Atsushi NakamuraDepartment of Pulmonary Medicine, Sendai Kousei Hospital, Sendai, Miyagi, Japan.
Shunsuke TeraokaInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Naohisa MatsumotoDepartment of Respiratory Medicine, Juntendo University, Tokyo, Japan.
Yoshimasa ShiraishiResearch Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Koji HarataniDepartment of Medical Oncology, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.ORCID https://orcid.org/0000-0002-1767-6854
Motohiro TamiyaThoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Satoshi IkedaDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan.
Satoru MiuraDepartment of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Japan.ORCID https://orcid.org/0000-0001-7868-6661
Junko TanizakiDepartment of Medical Oncology, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Shota OmoriDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Hiroshige YoshiokaDepartment of Thoracic Oncology, Kansai Medical University Hospital, Hirakata, Osaka, Japan.ORCID https://orcid.org/0000-0001-7724-0481
Akito HataDepartment of Medical Oncology, Kobe Minimally Invasive Cancer Center, Kobe, Hyogo, Japan.
Nobuyuki YamamotoInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Kazuhiko NakagawaDepartment of Medical Oncology, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.

Funding

Thermo Fisher Scientific, Life Technologies Japan
6 · The paper itself

Abstract

Considering the increasing number of identified driver oncogene alterations, additional genetic tests are required to determine the treatment for advanced non-small-cell lung cancer (NSCLC). Next-generation sequencing can detect multiple driver oncogenes simultaneously, enabling the analysis of limited amounts of biopsied tissue samples. In this retrospective, multicenter study (UMIN ID000039523), we evaluated real-world clinical data using the Oncomine Dx Target Test Multi-CDx System (Oncomine DxTT) as a companion diagnostic system. Patients with NSCLC who were tested for a panel of 46 genes using the Oncomine DxTT between June 2019 and January 2020 were eligible for enrollment. Patients from 19 institutions affiliated to the West Japan Oncology Group were recruited. The primary endpoint of the study was the success rate of genetic alteration testing in four driver genes (EGFR, ALK, ROS1, and BRAF) using the Oncomine DxTT. In total, 533 patients were enrolled in the study. The success rate of genetic alteration testing for all four genes was 80.1% (95% CI 76.5%-83.4%). Surgical resection was associated with the highest success rate (88.0%), which was significantly higher than that for bronchoscopic biopsy (76.8%, P = .005). Multivariate analysis revealed a significant difference for surgical resection alone (P = .006, 95% CI 1.36-6.18, odds ratio 2.90). Although the success rate of genetic alteration testing immediately after Oncomine DxTT induction was not sufficient in this study, optimizing specimen quantity and quality may improve the use of driver gene testing in clinical settings.

Indexed as

MutationAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMiddle AgedMultivariate AnalysisPrognosisALK protein, humanAnaplastic Lymphoma KinaseBRAF protein, humanEGFR protein, humanErbB ReceptorsProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins B-rafROS1 protein, humannext-generation sequencing gene panelnon-small-cell lung cancerOncomine Dxturnaround time

Identifiers

PMID34704312
PMCPMC8748216

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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.