Evidence map›Paper›PMID 34710947›Full record

ArticleCancer science2022

Identification of RET fusions in a Chinese multicancer retrospective analysis by next-generation sequencing.

Minke Shi, Weiran Wang, Jinku Zhang, Bobo Li, Dongxiao Lv, Danhua Wang, Sizhen Wang, Dezhi Cheng, Tonghui Ma

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  3. Review
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  5. Article
  6. Article
  7. Characterization ofTranslational lung cancer research · 2025
    Article
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  10. Hepatocellular carcinoma: signaling pathways and therapeutic advances.Signal transduction and targeted therapy · 2025
    Review
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  12. Article
  13. Article
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  17. Review
  18. Article
  19. Article
  20. Sequencing Systemic Therapy in Hepatocellular Carcinoma.Current treatment options in oncology · 2023
    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

9 authors at 6 institutions in 1 country.

Minke ShiDepartment of Thoracic and Cardiovascular Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Weiran WangDepartment of Translational Medicine, Genetron Health (Beijing) Technology, Co. Ltd., Beijing, China.ORCID https://orcid.org/0000-0003-0175-7112
Jinku ZhangDepartment of Pathology, Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, The First Centre Hospital of Baoding, Baoding, China.
Bobo LiDepartment of Thoracic Surgery, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.
Dongxiao LvTumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Danhua WangDepartment of Translational Medicine, Genetron Health (Beijing) Technology, Co. Ltd., Beijing, China.
Sizhen WangGenetron Health (Beijing) Technology, Co. Ltd., Beijing, China.
Dezhi ChengDepartment of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Tonghui MaDepartment of Translational Medicine, Genetron Health (Beijing) Technology, Co. Ltd., Beijing, China.
Annoroad Gene Technology (China) · CNBaoding People's Hospital · CNNanjing Drum Tower Hospital · CNShandong Provincial Hospital · CNShandong University · CNWenzhou Medical University · CN

Funding

Wenzhou Medical University 2016-197Wenzhou Municipal Science and Technology Bureau Y20180175
6 · The paper itself

Abstract

Fusion of RET with different partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic, and breast cancer. Approval of selpercatinib for treatment of lung and thyroid cancer with RET gene mutations or fusions calls for studies to explore RET fusion partners and their eligibility for RET-based targeted therapy. In this study, RET fusion patterns in a large group of Chinese cancer patients covering several cancer types were identified using next-generation sequencing. A total of 44 fusion patterns were identified in the study cohort with KIF5B, CCDC6, and ERC1 being the most common RET fusion partners. Notably, 17 novel fusions were first reported in this study. Prevalence of functional RET fusions was 1.05% in lung cancer, 6.03% in thyroid cancer, 0.39% in colorectal cancer, and less than 0.1% in gastric cancer and hepatocellular carcinoma. Analysis showed a preference for fusion partners in different tumor types, with KIF5B being the common type in lung cancer, CCDC6 in thyroid cancer, and NCOA4 in colorectal cancer. Co-occurrence of EGFR mutations and RET fusions with rare partner genes (rather than KIF5B) in lung cancer patients was correlated with epidermal growth factor receptor-tyrosine kinase inhibitor resistance and could predict response to targeted therapies. Findings from this study provide a guide to clinicians in determining tumors with specific fusion patterns as candidates for RET targeted therapies.

Indexed as

AdolescentAdultAgedAged, 80 and overAsian PeopleChinaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasmsOncogene Proteins, FusionPrevalenceOncogene Proteins, FusionProto-Oncogene Proteins c-retRET protein, humanEGFR-TKI resistancelung cancermulticancerNGSRET fusion

Identifiers

PMID34710947
PMCPMC8748217
OpenAlexW3210596147

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.