Evidence map›Paper›PMID 40184718›Full record

ArticleTranslational oncology2025

The fusion characteristics of RET fusion in pan-cancer among the Chinese population: A comprehensive genomic analysis.

Yi Zhao, Ruo Du, Mingcong Chen, Zhiwei Chen

Abstract read
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Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yi ZhaoShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China.
Ruo DuShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China.
Mingcong ChenDepartment of thoracic radiotherapy, Taizhou Cancer Hospital, Zhejiang Cancer hospital Taizhou Branch, the University of Chinese Academy of Sciences, 317502, China. Electronic address: zlnk2008@163.com.
Zhiwei ChenShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China. Electronic address: drchenzhiwei@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRET fusions are significant oncogenic drivers, resulting from chromosomal rearrangements of the RET proto-oncogene with various partner genes. Understanding their structural characteristics is crucial for elucidating oncogenic potential and developing targeted therapies.

methodsThis study analyzed 21,023 tumor samples and 3716 peripheral blood samples from a Chinese pan-cancer cohort using DNA or RNA-targeted next-generation sequencing (NGS). 19,668 tissues underwent DNA-based fusion detection and 1355 NSCLC tissues underwent RNA-based fusion detection using a 733-gene panel. ctDNA-based targeted NGS was also performed on blood samples.

resultsRET fusions were detected in 1.027 % of tissue samples, predominantly lung and thyroid cancers. Compared to Western populations (87 % in intron 11), Chinese patients show a shift toward the exon 10-11 region, with 30.79 % in intron 10. RET rearrangements were classified into four categories (Simple Reciprocal Inversion, Co-Fusion, Single Fusion-Common, Single Fusion-Rare) with unique mutational profiles and tumor mutational burden scores. RNA-based NGS revealed some DNA-detected rearrangements might not undergo transcription, while Co-Fusion indicated potential simultaneous transcription of multiple RET fusions. An NSCLC patient with KIF5B-RET and ATRNL1-RET co-fusions achieved 15-month progression-free survival on RET-targeted therapy.

conclusionThis study underscores the importance of structural insights for developing targeted therapies against RET fusion-driven cancers and highlights the need for further investigation into complex RET fusion mechanisms to better understand RET-driven oncogenesis.

Indexed as

Genomic landscapeNSCLCRearrangement structural characteristicsRET fusionsTargeted therapy

Identifiers

PMID40184718
PMCPMC12002882

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