Evidence map›Paper›PMID 40796116›Full record

ArticleThe oncologist2025

Characterization of a novel comprehensive genomic profiling test with better detection of heterozygous deletions and RNA-based gene fusion analysis.

Ryouta Kakuta, Akira Takemoto, Kousuke Tanimoto, Rika Noji, Ryo Kudo, Yoshihito Kano, Yayoi Ando, Tatsunori Simoi, Yusuke Kinugasa, Sadakatsu Ikeda

Abstract read
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ryouta KakutaDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.ORCID 0009-0007-7098-8578
Akira TakemotoDisease Biorepository Center, Tokyo Medical and Dental University, Tokyo, Japan.
Kousuke TanimotoResearch Core, Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan.
Rika NojiDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.
Ryo KudoDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.
Yoshihito KanoDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.
Yayoi AndoClinical Research Support Office, Research Management Division, National Cancer Center Hospital, Tokyo, Japan.ORCID 0009-0000-0349-0832
Tatsunori SimoiDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Yusuke KinugasaDepartment of Gastrointestinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
Sadakatsu IkedaDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.ORCID 0000-0003-1629-7171

Funding

ACT Genomics, Inc
6 · The paper itself

Abstract

Cancer genomic profiling has revolutionized cancer research and clinical practice by facilitating personalized medicine approaches. Next-generation sequencing technologies have played a pivotal role in expanding the possibilities of cancer genomics, providing a comprehensive view of the genomic landscape of tumors and identifying potential therapeutic targets. In Japan, the approval of several cancer-related gene panel tests has accelerated the implementation of cancer genomic medicine. However, there remains a need for evidence-based selection criteria for the different panel tests available. Among these tests, ACTOnco+® stands out as a comprehensive cancer genomic profiling tool. In this study, we compared 110 samples from 29 different tumor types using FoundationOne® CDx (324 genes for DNA analysis) and ACTOnco+® (440 genes for DNA and 31 genes for RNA analysis). Overall, the mutation profiles between the 2 assays exhibited 82.8% positive agreement in reported sequence alterations in clinically actionable genes, including single nucleotide variants and insertions-deletions. Copy number gains showed concordance of 76.9%, and copy number losses in 66.7%. In the case of KIAA1549-BRAF fusion-positive astrocytoma, the fusion event was not detected by DNA only test, but RNA sequencing identified the rearrangement. The patient exhibited clinical benefit from MEK inhibitor treatment. Tumor mutational burden and microsatellite instability (MSI) demonstrated high concordance across various cancer types. ACTOnco+® identified a total of 329 heterozygous deletions, which were subsequently validated for reliability using FISH analysis. Gene profiling with ACTOnco+® exhibited comparable results to FoundationOne® CDx, thereby contributing to future personalized medicine endeavors.

Indexed as

Gene FusionNeoplasmsFemaleGenomicsHeterozygoteHigh-Throughput Nucleotide SequencingHumansMalecancer genomic profilingRNA-based gene fusion analysis

Identifiers

PMID40796116
PMCPMC12342955

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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.