Evidence map›Paper›PMID 32772458›Full record

ArticleCancer science2020

Clinical impact of a cancer genomic profiling test using an in-house comprehensive targeted sequencing system.

Hideyuki Hayashi, Shigeki Tanishima, Kyoko Fujii, Ryo Mori, Chihiro Okada, Emmy Yanagita, Yuka Shibata, Ryosuke Matsuoka, Toraji Amano, Takahiro Yamada and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Germline Whole-Gene Deletion of FH Diagnosed from Tumor Profiling.International journal of molecular sciences · 2021
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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

15 authors at 4 institutions in 1 country.

Hideyuki HayashiDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.ORCID https://orcid.org/0000-0002-4974-8015
Shigeki TanishimaDepartment of Biomedical Informatics Development, Mitsubishi Space Software Co., Ltd, Tokyo, Japan.
Kyoko FujiiDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.
Ryo MoriDepartment of Biomedical Informatics Development, Mitsubishi Space Software Co., Ltd, Tokyo, Japan.
Chihiro OkadaDepartment of Biomedical Informatics Development, Mitsubishi Space Software Co., Ltd, Tokyo, Japan.
Emmy YanagitaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.
Yuka ShibataDivision of Clinical Genetics, Hokkaido University Hospital, Sapporo, Japan.
Ryosuke MatsuokaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.
Toraji AmanoClinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan.
Takahiro YamadaDivision of Clinical Genetics, Hokkaido University Hospital, Sapporo, Japan.
Ichiro YabeDivision of Clinical Genetics, Hokkaido University Hospital, Sapporo, Japan.
Ichiro KinoshitaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.
Yoshito KomatsuDepartment of Cancer Chemotherapy, Hokkaido University Hospital Cancer Center, Sapporo, Japan.
Hirotoshi Dosaka-AkitaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.
Hiroshi NishiharaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Sapporo, Japan.ORCID https://orcid.org/0000-0002-5460-8703
Hokkaido University Hospital · JPKeio University · JPMitsubishi Space Software (Japan) · JPSapporo Medical University · JP

Funding

Japan Agency for Medical Research and Development JP17kk0205006h000JSPS (Japan Society for the Promotion of Science) KAKENHI (Grant-in-Aid for Young Scientists B) 17K15910
6 · The paper itself

Abstract

Precision medicine is a promising strategy for cancer treatment. In this study, we developed an in-house clinical sequencing system to perform a comprehensive cancer genomic profiling test as a clinical examination and analyzed the utility of this system. Genomic DNA was extracted from tumor tissues and peripheral blood cells collected from 161 patients with different stages and types of cancer. A comprehensive targeted amplicon exome sequencing for 160 cancer-related genes was performed using next-generation sequencing (NGS). The sequencing data were analyzed using an original bioinformatics pipeline, and multiple cancer-specific gene alterations were identified. The success rate of our test was 99% (160/161), while re-biopsy was required for 24% (39/161) of the cases. Potentially actionable and actionable gene alterations were detected in 91% (145/160) and 46% (73/160) of the patients, respectively. The actionable gene alterations were frequently detected in PIK3CA (9%), ERBB2 (8%), and EGFR (4%). High tumor mutation burden (TMB) (≥10 mut/Mb) was observed in 12% (19/160) of the patients. The secondary findings in germline variants considered to be associated with hereditary tumors were detected in 9% (15/160) of the patients. Seventeen patients (11%, 17/160) were treated with genotype-matched therapeutic agents, and the response rate was 47% (8/17). The median turnaround time for physicians was 20 days, and the median survival time after the initial visit was 8.7 months. The results of the present study prove the feasibility of implementing in-house clinical sequencing as a promising laboratory examination technique for precision cancer medicine.

Indexed as

GenomicsPrecision MedicineAdolescentAdultAgedAged, 80 and overBiomarkers, TumorChildChild, PreschoolClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesErbB ReceptorsFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsPIK3CA protein, humanactionable gene alterationclinical sequencinggenomic testinggenotype-matched treatmentprecision medicine

Identifiers

PMID32772458
PMCPMC7540994
OpenAlexW3047768613

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.