Evidence map›Paper›PMID 36251535›Full record

Observational studyCancer medicine2023

Clinical decisions by the molecular tumor board on comprehensive genomic profiling tests in Japan: A retrospective observational study.

Hidekazu Shirota, Keigo Komine, Masanobu Takahashi, Shin Takahashi, Eisaku Miyauchi, Hidetaka Niizuma, Hiroshi Tada, Muneaki Shimada, Tetsuya Niihori, Yoko Aoki and 10 more

Open access · goldFull text readObservational Study
In one paragraph

Observational study in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

20 authors at 8 institutions in 1 country.

Hidekazu ShirotaDepartment of Clinical Oncology, Tohoku University Hospital, Sendai, Japan.ORCID 0000-0001-9154-9004
Keigo KomineDepartment of Clinical Oncology, Tohoku University Hospital, Sendai, Japan.
Masanobu TakahashiDepartment of Clinical Oncology, Tohoku University Hospital, Sendai, Japan.
Shin TakahashiDepartment of Clinical Oncology, Tohoku University Hospital, Sendai, Japan.ORCID 0000-0001-6695-3099
Eisaku MiyauchiDepartment of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-6837-6392
Hidetaka NiizumaDepartment of Pediatrics, Tohoku University School of Medicine, Sendai, Japan.ORCID 0000-0002-3161-8968
Hiroshi TadaDepartment of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0003-2670-8982
Muneaki ShimadaDepartment of Obstetrics and Gynecology, Tohoku University School of Medicine, Sendai, Japan.ORCID 0000-0003-1826-6723
Tetsuya NiihoriDepartment of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-2118-9776
Yoko AokiDepartment of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ikuko SugiyamaPersonalized Medicine Center, Tohoku University Hospital, Sendai, Japan.
Maako KawamuraPersonalized Medicine Center, Tohoku University Hospital, Sendai, Japan.
Jun YasudaDivision of Molecular Cellular Oncology, Miyagi Cancer Center Research Institute, Natori, Japan.ORCID 0000-0002-3887-6871
Shuhei SuzukiDepartment of Clinical Oncology, Yamagata University Faculty of Medicine, Yamagata, Japan.
Takeshi IwayaMolecular Therapeutics Laboratory, Department of Surgery, Iwate Medical University School of Medicine, Morioka, Japan.ORCID 0000-0001-8341-5700
Motonobu SaitoDepartment of Gastrointestinal Tract Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan.ORCID 0000-0001-5072-3520
Tsuyoshi SaitoDepartment of Breast Surgery, Japanese Red Cross Saitama Hospital, Saitama, Japan.
Hiroyuki ShibataDepartment of Clinical Oncology, Graduate School of Medicine, Akita University, Akita, Japan.ORCID 0000-0003-3581-3506
Toru FurukawaDepartment of Investigative Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-1083-2324
Chikashi IshiokaDepartment of Clinical Oncology, Tohoku University Hospital, Sendai, Japan.ORCID 0000-0002-3023-1227
Tohoku University · JPTohoku University Hospital · JPAkita University · JPFukushima Medical University · JPIwate Medical University · JPMiyagi Prefectural Hospital Organization · JPSaitama Red Cross Hospital · JPYamagata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA paradigm shift has occurred in cancer chemotherapy from tumor-specific treatment with cytotoxic agents to personalized medicine with molecular-targeted drugs. Thus, it is essential to identify genomic alterations and molecular features to recommend effective targeted molecular medicines regardless of the tumor site. Nevertheless, it takes considerable expertise to identify treatment targets from primary-sequencing data in order to provide drug recommendations. The Molecular Tumor Board (MTB) denotes a platform that integrates clinical and molecular features for clinical decisions.

methodsThis study retrospectively analyses all the cases of discussion and decision at the MTB in Tohoku University Hospital and summarizes genetic alterations and treatment recommendations.

resultsThe MTB discussed 1003 comprehensive genomic profiling (CGP) tests conducted in patients with solid cancer, and the resulting rate of assessing treatment recommendations was approximately 19%. Among hundreds of genes in the CGP test, only 30 genetic alterations or biomarkers were used to make treatment recommendations. The leading biomarkers that led to treatment recommendations were tumor mutational burden-high (TMB-H) (n = 32), ERBB2 amplification (n = 24), BRAF V600E (n = 16), and BRCA1/2 alterations (n = 32). Thyroid cancer accounted for most cancer cases for which treatment recommendation was provided (81.3%), followed by non-small cell lung cancer (42.4%) and urologic cancer (31.3%). The number of tests performed for gastrointestinal cancers was high (n = 359); however, the treatment recommendations for the same were below average (13%).

conclusionThe results of this study may be used to simplify treatment recommendations from the CGP reports and help select patients for testing, thereby increasing the accuracy of personalized medicine.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorGenomicsHigh-Throughput Nucleotide SequencingHumansJapanMutationRetrospective StudiesBiomarkers, TumorC-CATcomprehensive genomic profilingmolecular tumor Boardpersonalized medicinesolid cancer

Identifiers

PMID36251535
PMCPMC10028111
OpenAlexW4306412139

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Textfull text, public
LicenceCC BY
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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.