Evidence map›Paper›PMID 37208840›Full record

Observational studyCancer science2023

Assessment for the timing of comprehensive genomic profiling tests in patients with advanced solid cancers.

Kanako Hagio, Junko Kikuchi, Kohichi Takada, Hiroki Tanabe, Minako Sugiyama, Yoshihito Ohhara, Toraji Amano, Satoshi Yuki, Yoshito Komatsu, Takahiro Osawa and 14 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cancer science, 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
3.3field-weighted citation impact, top 8% 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, 14 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

24 authors at 5 institutions in 1 country.

Kanako HagioDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-4279-0317
Junko KikuchiDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Kohichi TakadaDepartment of Medical Oncology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Hiroki TanabeGenetic Oncology Department, Asahikawa Medical University Hospital, Hokkaido, Japan.
Minako SugiyamaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Yoshihito OhharaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Toraji AmanoDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Satoshi YukiDepartment of Gastroenterology and Hepatology, Hokkaido University Hospital, Hokkaido, Japan.
Yoshito KomatsuDepartment of Cancer Chemotherapy, Hokkaido University Hospital, Cancer Center, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-1570-6802
Takahiro OsawaDepartment of Renal and Genitourinary surgery, Hokkaido University Hospital, Hokkaido, Japan.ORCID https://orcid.org/0000-0003-4444-7958
Kanako C HatanakaCenter for Development of Advanced Diagnostics, Hokkaido University Hospital, Hokkaido, Japan.
Yutaka HatanakaCenter for Development of Advanced Diagnostics, Hokkaido University Hospital, Hokkaido, Japan.
Takashi MitamuraDivision of Clinical Genetics, Hokkaido University Hospital, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-2287-023X
Ichiro YabeDivision of Clinical Genetics, Hokkaido University Hospital, Hokkaido, Japan.
Yoshihiro MatsunoDepartment of Surgical Pathology, Hokkaido University Hospital, Hokkaido, Japan.
Atsushi ManabeDepartment of Pediatrics, Hokkaido University Hospital, Hokkaido, Japan.
Akihiro SakuraiDepartment of Medical Genetics and Genomics, Sapporo Medical University, Hokkaido, Japan.
Atsushi IshiguroDepartment of Medical Oncology, Teine Keijinkai Hospital, Hokkaido, Japan.
Masato TakahashiDepartment of Breast Surgery, Hokkaido University Hospital, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-6641-9598
Hiroshi YokouchiCenter for Clinical Cancer Genomics and Precision Medicine, NHO Hokkaido Cancer Center, Hokkaido, Japan.
Hirohito NaruseDepartment of Gastroenterology, Hakodate Municipal Hospital, Hokkaido, Japan.
Yusuke MizukamiGenetic Oncology Department, Asahikawa Medical University Hospital, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-1068-7024
Hirotoshi Dosaka-AkitaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Ichiro KinoshitaDivision of Clinical Cancer Genomics, Hokkaido University Hospital, Hokkaido, Japan.
Hokkaido University Hospital · JPAsahikawa Medical University · JPSapporo Medical University · JPHakodate National Hospital · JPTeine Keijinkai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive genomic profiling (CGP) tests have been covered by public insurance in Japan for patients with advanced solid tumors who have completed or are completing standard treatments or do not have them. Therefore, genotype-matched drug candidates are often unapproved or off-label, and improving clinical trial access is critical, involving the appropriate timing of CGP tests. To address this issue, we analyzed the previous treatment data for 441 patients from an observational study on CGP tests discussed by the expert panel at Hokkaido University Hospital between August 2019 and May 2021. The median number of previous treatment lines was two; three or more lines accounted for 49%. Information on genotype-matched therapies was provided to 277 (63%). Genotype-matched clinical trials were ineligible because of an excess number of previous treatment lines or use of specific agents were found in 66 (15%) patients, with the highest proportion in breast and prostate cancers. Many patients met the exclusion criteria of one to two or more treatment lines across cancer types. In addition, previous use of specific agents was a frequent exclusion criterion for breast, prostate, colorectal, and ovarian cancers. The patients with tumor types with a low median number (two or fewer) of previous treatment lines, including most rare cancers, primary unknown cancers, and pancreatic cancers, had significantly fewer ineligible clinical trials. The earlier timing of CGP tests may improve access to genotype-matched clinical trials, with their proportion varying by cancer type. Each relevant society needs to advocate the desirable timing of CGP testing nationwide.

Indexed as

Ovarian NeoplasmsPancreatic NeoplasmsProstatic NeoplasmsFemaleGenomicsGenotypeHumansMaleadvanced solid tumorsclinical trialscomprehensive genomic profiling testsgenotype-matched therapytreatment lines

Identifiers

PMID37208840
PMCPMC10394138
OpenAlexW4377142723

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.