Evidence map›Paper›PMID 35906844›Full record

ReviewCancer science2022

Recommendations related to the analytical equivalence assessment of gene panel testing.

Sumimasa Nagai, Hiroshi Nishihara, Takayoshi Suzuki, Kazuto Nishio, Hiroya Taniguchi, Katsuya Tsuchihara, Kohei Nakamura, Reika Takamatsu, Toshihide Ueno, Hiroyuki Aburatani and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

12 authors at 7 institutions in 1 country.

Sumimasa NagaiDepartment of Medical Development, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan.ORCID https://orcid.org/0000-0001-8401-6074
Hiroshi NishiharaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Takayoshi SuzukiDivision of Molecular Target and Gene Therapy Products, National Institute of Health Sciences, Kawasaki, Japan.ORCID https://orcid.org/0000-0002-2261-5263
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osakasayama, Japan.ORCID https://orcid.org/0000-0002-8275-0846
Hiroya TaniguchiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1407-6682
Katsuya TsuchiharaDivision of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.ORCID https://orcid.org/0000-0001-7507-2349
Kohei NakamuraGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5162-7132
Reika TakamatsuGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Toshihide UenoDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Hiroyuki AburataniGenome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5371-706X
Shinji KohsakaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8651-6136
Keio University · JPAichi Cancer Center · JPKindai University · JPKyoto University Hospital · JPNational Cancer Center Hospital East · JPNational Institute of Health Sciences · JPTokyo University of Science · JP

Funding

Japan Agency for Medical Research and Development JP21mk0102145Japan Society for the Promotion of Science 18K06779
6 · The paper itself

Abstract

Advances in cancer genome care over the past few years have included the development of gene panel testing for various biomarkers. This article summarizes issues and provides recommendations related to analytical performance evaluations for new oncology gene panels. The scope of these recommendations includes comprehensive genomic profiling assays related to gene panel testing that uses histological or serum specimens to detect gene mutations. As a research project of the Japan Agency for Medical Research and Development Research on Regulatory Science of Pharmaceuticals and Medical Devices, we convened the working group committee that consisted of more than 30 experts from academia, industry, and government. We have discussed the points that should be considered to allow maximal simplification of assessments using clinical specimens in evaluating accuracy and limit of detection in equivalence and analytical performance for 3 years. We provide recommendations specific to each type of gene mutation as well as to reference standards or specimens used for evaluations. In addition, in order to facilitate the discussion on the analytical performance of gene panel tests by multidisciplinary tumor boards of hospitals, the present recommendations also describe the items that companies are expected to provide information on in their packaging inserts and reports, and the items that are expected to be discussed by multidisciplinary tumor boards. Our working group document will be important for participants in multidisciplinary tumor boards, including medical oncologists and genome scientists, and developers of gene panels not only in Japan but also in other countries.

Indexed as

NeoplasmsHumansJapanMutationPharmaceutical PreparationsPharmaceutical Preparationscompanion diagnosticcomprehensive genomic profilingliquid biopsynext-generation sequencingpharmaceuticals and medical devices agency

Identifiers

PMID35906844
PMCPMC9530854
OpenAlexW4288748553

What OpenQuestion holds

Textmetadata
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.