Evidence map›Paper›PMID 38472663›Full record

ArticleInternational journal of clinical oncology2024

An approach for improvement of the accuracy of cancer gene panel testing.

Kiyomi Imoto, Hiroyuki Yamamoto, Chie Ohkawa, Naoki Shimada, Ryo Ikuzawa, Hiroyuki Takeda, Tatsuru Ohhara, Yasuyuki Kojima, Naoki Furuya, Ai Motoyoshi and 9 more

Abstract read
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In one paragraph

Article in International journal of clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Kiyomi ImotoCenter for Genomic Medicine, St. Marianna University Hospital, Kawasaki, Japan.
Hiroyuki YamamotoDepartment of Bioinformatics, St. Marianna University Graduate School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan. h-yama@marianna-u.ac.jp.ORCID http://orcid.org/0000-0002-0954-6806
Chie OhkawaDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Japan.
Naoki ShimadaDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Japan.
Ryo IkuzawaDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Japan.
Hiroyuki TakedaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Tatsuru OhharaDepartment of Obstetrics and Gynecology, St. Marianna University School of Medicine, Kawasaki, Japan.
Yasuyuki KojimaDepartment of Breast and Endocrine Surgery, St. Marianna University School of Medicine, Kawasaki, Japan.
Naoki FuruyaDepartment of Respiratory Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Ai MotoyoshiCenter for Genomic Medicine, St. Marianna University Hospital, Kawasaki, Japan.
Ohsuke MigitaDepartment of Clinical Genetics, St. Marianna University Hospital, Kawasaki, Japan.
Asami KugaDepartment of Clinical Genetics, St. Marianna University Hospital, Kawasaki, Japan.
Takayuki KeiraDepartment of Pharmacy, St. Marianna University Hospital, Kawasaki, Japan.
Hirotake WakamatsuLSI Medience Corporation Group of the Genome Laboratory, Tokyo, Japan.
Tomoo SatoCenter for Genomic Medicine, St. Marianna University Hospital, Kawasaki, Japan.
Nobuyuki OikeDepartment of Pathology, St. Marianna University School of Medicine, Kawasaki, Japan.
Junki KoikeDepartment of Pathology, St. Marianna University School of Medicine, Kawasaki, Japan.
Yoshihisa YamanoCenter for Genomic Medicine, St. Marianna University Hospital, Kawasaki, Japan.
Yu SunakawaCenter for Genomic Medicine, St. Marianna University Hospital, Kawasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTissue-based comprehensive genomic profiling (CGP) is increasingly being employed for genotype-directed therapies in patients with advanced cancer. However, tissue availability may limit their potential applications. In Japan, the cost of cancer gene panel tests is covered by public insurance for patients diagnosed with advanced solid tumors once in their lifetime. Therefore, it is essential to improve the success rate (reportability) and accuracy of CGP tests. The purpose of this study was to identify the factors associated with efficient and accurate CGP testing using relevant information obtained from real-world data.

methodsThis study included 159 samples analyzed using tumor-only panel FoundationOne® CDx cancer genome profiling (F1CDx) and 85 samples analyzed using matched-pair panel OncoGuide™ NCC Oncopanel system (NCCOP) at St. Marianna University Hospital. Sample characteristics (fixation conditions, storage period, histology, tumor cell ratio, and genomic tumor cell content), CGP performance, and quality control status were evaluated across all 244 tested samples.

resultsIn 237/244 samples (97.1%), CGP testing results were successfully obtained [F1CDx, 99.4% (158/159) and NCCOP, 92.9% (79/85)]. An increased number of fibroblasts, inflammatory cells, and necrotic tumor cells, long-term storage, and/or prolonged fixation of tissue sections were involved in the unreported results and/or qualified CGP results. In addition, a negative correlation between median insert size values and ΔΔCq was observed in the NCCOP system.

conclusionWe identified various factors associated with efficient and accurate CGP testing using relevant information obtained from real-world data, suggesting that thorough selection and preparation of tissue sections could optimize CGP and maximize useful information.

Indexed as

NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingGenetic TestingGenomicsHumansJapanMaleBiomarkers, TumorComprehensive genomic profilingF1CDxNCCOPQuality control statusΔΔCq

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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.