Evidence map›Paper›PMID 40140952›Full record

ArticleCancer science2025

Real-World Data Analysis of Genomic Alterations Detected by a Dual DNA-RNA Comprehensive Genomic Profiling Test.

Kousuke Watanabe, Miho Ogawa, Aya Shinozaki-Ushiku, Shuichi Tsutsumi, Kenji Tatsuno, Hiroyuki Aburatani, Hidenori Kage, Katsutoshi Oda

Abstract read
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Kousuke WatanabeNext-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4670-3679
Miho OgawaNext-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Aya Shinozaki-UshikuDivision of Integrative Genomics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Shuichi TsutsumiGenome Science and Medicine Laboratory, RCAST, The University of Tokyo, Tokyo, Japan.
Kenji TatsunoGenome Science and Medicine Laboratory, RCAST, The University of Tokyo, Tokyo, Japan.
Hiroyuki AburataniGenome Science and Medicine Laboratory, RCAST, The University of Tokyo, Tokyo, Japan.
Hidenori KageDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Katsutoshi OdaDivision of Integrative Genomics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GenMineTOP, the first dual DNA-RNA comprehensive genomic profiling (CGP) test in Japan, was approved for reimbursement in 2023. To evaluate its clinical utility, we analyzed 1356 cases from the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database. Oncogenic genomic alterations were identified in 91.5% of cases. Somatic mutations were the most prevalent, followed by amplifications and fusion/exon skipping events. The DNA panel, covering 737 genes, detected not only alterations relevant to therapeutic decisions but also those providing insights into tumor biology. Among the latter, frequently observed examples included mutations in KMT2C (n = 28) and ARID1B (n = 24), and amplifications in GLI1 (n = 14) and YAP1 (n = 10), which are not included in other CGP tests approved in Japan. The RNA panel identified 105 fusion events, including 11 NTRK fusions (0.8%), of which five were NTRK3 fusions: two with the well-known ETV6-NTRK3 fusion and three with non-ETV6 partners. Forty-nine of these fusions were diagnostically significant, highlighting the utility of the RNA panel. Amplification-RNA expression analyses revealed strong correlations for MDM2, CDK4, EGFR, and ERBB2. In contrast, weaker correlations observed for MYC and FGFR1 highlighted the need for careful interpretation of amplification in these genes. Cancer type significantly influenced RNA expression, with KIT and TERT mutations linked to increased expression and significant overexpression observed in ALK, FGFR3, NTRK1, NTRK3, and RET fusions. In summary, this study demonstrated the real-world clinical utility of the dual DNA-RNA CGP test and provided a valuable resource for interpreting RNA expressions.

Indexed as

GenomicsNeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingHumansJapanMaleMutationOncogene Proteins, FusionBiomarkers, TumorOncogene Proteins, Fusioncomprehensive genomic profiling (CGP)gene fusionsNTRK fusionsRNA expressionRNA panel

Identifiers

PMID40140952
PMCPMC12210034

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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.