Evidence map›Paper›PMID 40755265›Full record

ArticleCancer medicine2025

Real-World Data of Comprehensive Cancer Genomic Profiling Tests Performed in the Routine Clinical Setting in Sarcoma.

Eiji Nakata, Daisuke Ennishi, Tatsunori Osone, Kiichiro Ninomiya, Shuta Tomida, Takuto Itano, Tomohiro Fujiwara, Toshiyuki Kunisada, Naoyuki Ida, Hideki Yamamoto and 7 more

Abstract read
In one paragraph

Article in Cancer medicine, 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
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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

17 authors.

Eiji NakataDepartment of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID https://orcid.org/0000-0002-5971-4142
Daisuke EnnishiCenter for Comprehensive Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Tatsunori OsoneDepartment of Regenerative Science, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Kiichiro NinomiyaCenter for Comprehensive Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Shuta TomidaCenter for Comprehensive Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID https://orcid.org/0000-0003-3786-936X
Takuto ItanoDepartment of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Tomohiro FujiwaraDepartment of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Toshiyuki KunisadaDepartment of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Naoyuki IdaDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Hideki YamamotoDepartment of Clinical Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Mashu FutagawaDepartment of Clinical Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Tatsunori ShimoiDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Hiroyuki YanaiDepartment of Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Akira HirasawaDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.ORCID https://orcid.org/0000-0003-4124-5488
Shinichi ToyookaCenter for Comprehensive Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Masahiro TabataCenter for Clinical Oncology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.
Toshifumi OzakiDepartment of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan.

Funding

Japan Society for the Promotion of Science 23K08632Japan Society for the Promotion of Science 23K08698Japan Society for the Promotion of Science 24K10453Japan Society for the Promotion of Science 24K12308Japan Society for the Promotion of Science 24K12332Japan Society for the Promotion of Science 24K12374
6 · The paper itself

Abstract

introductionNext-generation sequencing-based comprehensive cancer genomic profiling (CGP) tests are beneficial for refining diagnosis and personalized treatment of various cancers. However, the clinical impact of CGP, as covered by public health insurance in the management of sarcomas, remains unknown. Especially, the data on the utility of the newly emerging dual DNA-RNA panel compared to the conventional DNA-only panel in clinical settings is lacking. Therefore, we evaluated the utility of CGP in routine clinical practice for sarcoma treatment. PATIENTS AND

methodsIn this study, three types of DNA panel and one DNA-RNA panel, reimbursed by Japanese public health insurance, were utilized. We detected oncogenic and druggable gene mutations and genotype-matched therapies.

resultsOne hundred and thirty-six patients were included in this study. Based on the detection of highly histology-specific translocations in the sequencing results, 2.2% of patients were re-classified. In patients with translocation-related sarcomas, a DNA-RNA panel identified more histology-specific fusion genes than DNA panels (p = 0.0035). Specifically, 86.8% and 39.0% of patients had oncogenic and druggable genomic alterations, respectively. Of these, 9.6% underwent genotype-matched therapy, with a 36.3% response rate and an 81.8% disease control rate. Patients who were administered genomically matched therapy had better overall survival (OS) than those who did not in patients with metastatic or advanced sarcoma with no prior chemotherapy (3-year OS: 83.3% vs. 48.0%, p = 0.42). Patients with TP53 and RB1 mutations had worse OS than those without. Germline findings were detected in 11.0% of the patients, one of whom had a truly germline origin.

conclusionsThis study suggests that publicly reimbursed CGP tests, particularly the dual DNA-RNA panel, could be beneficial for refining diagnostic precision in selected sarcoma subtypes, treatment decisions, detecting the germline findings, and prognosis prediction in routine clinical settings for sarcoma. The implementation of genotype-matched therapies showed favorable clinical outcomes and improved the prognosis.

Indexed as

Biomarkers, TumorSarcomaAdolescentAdultAgedAged, 80 and overFemaleGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationPrecision MedicinePrognosisBiomarkers, Tumorcomprehensive genomic profilinggenotype‐matched therapymultiplex gene panel testsarcoma

Identifiers

PMID40755265
PMCPMC12320126

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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.