Evidence map›Paper›PMID 33325566›Full record

ArticleThe oncologist2021

Clinical Application of the FoundationOne CDx Assay to Therapeutic Decision-Making for Patients with Advanced Solid Tumors.

Masayuki Takeda, Takayuki Takahama, Kazuko Sakai, Shigeki Shimizu, Satomi Watanabe, Hisato Kawakami, Kaoru Tanaka, Chihiro Sato, Hidetoshi Hayashi, Yoshikane Nonagase and 14 more

Open access · hybridAbstract read
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.5field-weighted citation impact, top 3% of its field
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

54 citing papers in PubMed, 93 citations in OpenAlex.

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  15. Deep Learning for Biomarker Discovery in Cancer Genomes.bioRxiv : the preprint server for biology · 2025
    Article
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  17. Agnostic Biomarkers in Molecular Pathology.Journal of clinical practice and research · 2025
    Review
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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

24 authors at 1 institution in 1 country.

Masayuki TakedaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.ORCID 0000-0002-2950-0960
Takayuki TakahamaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Shigeki ShimizuDepartment of Pathology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Satomi WatanabeDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Hisato KawakamiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kaoru TanakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Chihiro SatoDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Hidetoshi HayashiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Yoshikane NonagaseDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kimio YonesakaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Naoki TakegawaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Tatsuya OkunoDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Takeshi YoshidaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Soichi FumitaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Shinichiro SuzukiDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Koji HarataniDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kazumasa SaigohClinical Genetics, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Akihiko ItoDepartment of Pathology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Tetsuya MitsudomiDivision of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Hisashi HandaResearch Institute for Informatics, Kindai University, Higashi-Osaka, Osaka, Japan.
Kazuya FukuokaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kazuhiko NakagawaDepartment of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.
Kindai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementation of personalized medicine requires the accessibility of tumor molecular profiling in order to allow prioritization of appropriate targeted therapies for individual patients. Our aim was to study the role of comprehensive genomic profiling assays that may inform treatment recommendations for patients with solid tumors. MATERIALS AND

methodsWe performed a prospective study to evaluate the feasibility of application of the FoundationOne CDx panel-which detects substitutions, insertions and deletions, and copy number alterations in 324 genes, select gene rearrangements, and genomic signatures including microsatellite instability and tumor mutation burden (TMB)-to patients with advanced or recurrent solid tumors before its approval in Japan.

resultsA total of 181 samples were processed for genomic testing between September 2018 and June 2019, with data being successfully obtained for 175 of these samples, yielding a success rate of 96.7%. The median turnaround time was 41 days (range, 21-126 days). The most common known or likely pathogenic variants were TP53 mutations (n = 113), PIK3CA mutations (n = 33), APC mutations (n = 32), and KRAS mutations (n = 29). Among the 153 patients assessed for TMB, the median TMB was 4 mutations/Mb, and tumors with a high TMB (≥10 mutations/Mb) were more prevalent for lung cancer (11/32) than for other solid tumor types (9/121, Fisher's exact test p < .01). No clear trend toward increased efficacy for immune checkpoint inhibitor (ICI) monotherapy or ICI combination chemotherapy in patients with a high programmed cell death-ligand 1 tumor proportion score or a high TMB was apparent. Among the 174 patients found to harbor known or likely pathogenic actionable alterations, 24 individuals (14%) received matched targeted therapy.

conclusionThe FoundationOne CDx assay was performed with formalin-fixed, paraffin-embedded tumor specimens with a success rate of >95%. Such testing may inform the matching of patients with cancer with investigational or approved targeted drugs. IMPLICATIONS FOR PRACTICE: This prospective cohort study was initiated to investigate the feasibility and utility of clinical application of FoundationOne CDx. A total of 181 samples were processed for genomic testing between September 2018 and June 2019, with data being successfully obtained for 175 of these samples, yielding a success rate of 96.7%, and 24 individuals (14%) received matched targeted therapy.

Indexed as

Biomarkers, TumorNeoplasm Recurrence, LocalHigh-Throughput Nucleotide SequencingHumansJapanMutationProspective StudiesBiomarkers, TumorFoundationOne CDxNext-generation sequencingSolid tumors

Identifiers

PMID33325566
PMCPMC8018334
OpenAlexW3112349893

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.