Evidence map›Paper›PMID 40757605›Full record

ArticleCancer science2025

Clinical Application of In-House Comprehensive Genomic Profiling for Thoracic Cancer: Insights From a Japanese Hospital.

Hatsuyo Takaoka, Hideki Terai, Kohei Nakamura, Takaaki Mizuno, Ryutaro Kawano, Katsura Emoto, Yutaka Kurebayashi, Nao Takada, Kenta Hamabe, Kazuhito Horie and 16 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in oncology · 2026
    Article
  4. Article
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

26 authors.

Hatsuyo TakaokaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Hideki TeraiDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1118-1930
Kohei NakamuraCenter for Cancer Genomics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5162-7132
Takaaki MizunoCenter for Cancer Genomics, Keio University School of Medicine, Tokyo, Japan.
Ryutaro KawanoCenter for Cancer Genomics, Keio University School of Medicine, Tokyo, Japan.
Katsura EmotoDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Yutaka KurebayashiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Nao TakadaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Kenta HamabeDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Kazuhito HorieDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Akihiko OgataDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Katsuhito KinoshitaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Lisa ShigematsuDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Fumimaro ItoDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Masahiko OkadaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Takahiro FukushimaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Shigenari NukagaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Testuo TaniDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Keiko OhginoDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Kaoru KasedaDivision of Thoracic Surgery, Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
Shinnosuke IkemuraDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Hiroyuki YasudaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
Keisuke AsakuraDivision of Thoracic Surgery, Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
Hajime OkitaDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Hiroshi NishiharaCenter for Cancer Genomics, Keio University School of Medicine, Tokyo, Japan.
Koichi FukunagaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development JP23ck0106872Japan Agency for Medical Research and Development JP24ck0106872Japan Society for the Promotion of Science 25K11461
6 · The paper itself

Abstract

Comprehensive genomic profiling (CGP) is useful for optimizing targeted therapy and immunotherapy strategies for thoracic malignancies. This study aimed to evaluate the clinical utility and diagnostic complementarity of the in-house sequencing platform Rapid-Neo. We retrospectively analyzed 110 patients with thoracic malignancies who underwent Rapid-Neo testing. The baseline characteristics, sequencing results, concordance with companion diagnostics (CDx), and clinical outcomes were assessed. Of 110 patients, 100 (90.9%) had primary lung cancer. Rapid-Neo identified at least one genomic alteration in 99.1% of cases and well-established driver alterations in 66.0% of lung cancer cases. TMB-high and MSI-high statuses were observed in 9.0% and 2.0% of cases, respectively. Among the 90 cases with prior CDx, Rapid-Neo identified driver alterations in 10.0% of the cases, including EGFR, KRAS, MET, RET, and ERBB2, suggesting its potential to overcome the limitations of conventional CDx tests. High concordance (96.8%) was observed between the Rapid-Neo and CDx results, finally. In EGFR-mutant lung adenocarcinoma, high tumor mutation burden (TMB) was associated with a significantly shorter progression-free survival (PFS) after EGFR-TKI therapy (HR = 2.58, p = 0.018) and remained an independent prognostic factor in multivariate analysis. Furthermore, among patients receiving immune checkpoint inhibitors (ICIs), favorable genomic markers such as TMB-high or MSI-high were associated with prolonged PFS. Rapid-Neo demonstrated high sensitivity and concordance with CDx, while also identifying actionable driver alterations missed by the initial CDx. Moreover, the genomic markers identified by Rapid-Neo may provide predictive values for both targeted therapy and immunotherapy responses, supporting their integration into routine clinical decision-making.

Indexed as

Biomarkers, TumorLung NeoplasmsThoracic NeoplasmsAdultAgedAged, 80 and overEast Asian PeopleFemaleGenomicsHumansJapanMaleMiddle AgedMutationPrognosisRetrospective StudiesBiomarkers, Tumorcompanion dianosticsdriver oncogenegenomic profilinglung cancerTMB

Identifiers

PMID40757605
PMCPMC12485672

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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.