Evidence map›Paper›PMID 37592448›Full record

ArticleCancer science2023

Extensive analysis of 59 sarcoma-related fusion genes identified pazopanib as a potential inhibitor to COL1A1-PDGFB fusion gene.

Takeshi Hirose, Masachika Ikegami, Shinya Kojima, Akihiko Yoshida, Makoto Endo, Eijiro Shimada, Masaya Kanahori, Ryunosuke Oyama, Yoshihiro Matsumoto, Yasuharu Nakashima and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 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

13 authors at 2 institutions in 1 country.

Takeshi HiroseDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1588-9757
Masachika IkegamiDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Shinya KojimaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Akihiko YoshidaDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Makoto EndoDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-7956-2190
Eijiro ShimadaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masaya KanahoriDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Ryunosuke OyamaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yoshihiro MatsumotoDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yasuharu NakashimaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Akira KawaiDepartment of Musculoskeletal Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2116-586X
Hiroyuki ManoDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4645-0181
Shinji KohsakaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8651-6136
Kyushu University · JPTokyo National Hospital · JP

Funding

Fukuoka Public Health Promotion Organization Cancer Research FundJapan Agency for Medical Research and Development JP20ck0106536Japan Society for the Promotion of Science JP21H02795
6 · The paper itself

Abstract

Sarcomas are malignant mesenchymal tumors that are extremely rare and divergent. Fusion genes are involved in approximately 30% of sarcomas as driver oncogenes; however, their detailed functions are not fully understood. In this study, we determined the functional significance of 59 sarcoma-related fusion genes. The transforming potential and drug sensitivities of these fusion genes were evaluated using a focus formation assay (FFA) and the mixed-all-nominated-in-one (MANO) method, respectively. The transcriptome was also examined using RNA sequencing of 3T3 cells transduced with each fusion gene. Approximately half (28/59, 47%) of the fusion genes exhibited transformation in the FFA assay, which was classified into five types based on the resulting phenotype. The sensitivity to 12 drugs including multityrosine kinase inhibitors was assessed using the MANO method and pazopanib was found to be more effective against cells expressing the COL1A1-PDGFB fusion gene compared with the others. The downstream MAPK/AKT pathway was suppressed at the protein level following pazopanib treatment. The fusion genes were classified into four subgroups by cluster analysis of the gene expression data and gene set enrichment analysis. In summary, the oncogenicity and drug sensitivity of 59 fusion genes were simultaneously evaluated using a high-throughput strategy. Pazopanib was selected as a candidate drug for sarcomas harboring the COL1A1-PDGFB fusion gene. This assessment could be useful as a screening platform and provides a database to evaluate customized therapy for fusion gene-associated sarcomas.

Indexed as

Collagen Type IOncogene Proteins, FusionPyrimidinesSarcomaSulfonamidesAnimalsCell Line, TumorCollagen Type I, alpha 1 ChainHumansIndazolesMiceCOL1A1 protein, humanCOLIA1-PDGFB fusion protein, humanCollagen Type ICollagen Type I, alpha 1 ChainIndazolesOncogene Proteins, FusionpazopanibPyrimidinesSulfonamidesdermatofibrosarcoma protuberansdrug sensitivityfusion genepazopanibsarcoma

Identifiers

PMID37592448
PMCPMC10551592
OpenAlexW4385969805

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.