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Pan-tumor survey of RET fusions as detected by next-generation RNA sequencing identified RET fusion positive colorectal carcinoma as a unique molecular subset

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TRANSLATIONAL ONCOLOGY
卷 36, 期 -, 页码 -

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.tranon.2023.101744

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RET fusion; Pan -tumor survey; Next-generation sequencing; RNA sequencing; Selpercatinib; Pralsetinib; Selective RET inhibitors

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RET fusions are driver alterations found in various cancers, with non-small cell lung cancer (NSCLC) and well-differentiated thyroid cancer being the most common. This study analyzed clinical tumor samples using targeted RNA sequencing and whole transcriptome sequencing, and identified 378 RET+ solid malignancies in 15 different tumor types and carcinoma of unknown primary (CUP). NSCLC and thyroid cancer accounted for the majority of RET+ solid malignancies, while colorectal cancer and breast cancer constituted smaller proportions. The most common fusion partner was KIF5B, and different fusion variants dominated in different tumor types. RET+ colorectal cancer showed high median TMB and frequent MSI-H. Overall, RET fusions were found in multiple tumor types, and RET fusion positive colorectal cancer may represent a unique molecular subset of CRC.
Background: RET fusions are driver alterations in cancer and are most commonly found in non-small cell lung cancer and well-differentiated thyroid cancer. However, RET fusion have been reported in other solid tumors. Material and methods: A retrospective analysis of RET+ solid malignancies identified by targeted RNA sequencing and whole transcriptome sequencing of clinical tumor samples performed at Caris Life Science (Phoenix, AZ). Results: As of March 22, 2022, a total of 378 RET+ solid malignancies were identified in 15 different tumor types and carcinoma of unknown primary (CUP) that underwent next-generation RNA sequencing. RET+ NSCLC and RET+ thyroid cancer constituted 66.9% and 11.1% of the RET+ solid malignancies, respectively. RET+ colorectal adenocarcinoma and RET+ breast adenocarcinoma constituted 10.1% and 2.6%, respectively. The estimated frequency of RET fusions within specific tumor types were NSCLC 0.7%, thyroid cancer 3.1%, colorectal cancer 0.2% and breast cancer 0.1%. KIF5B (46.8%) was the most common fusion partner followed by CCDC6 (28.3%) and NCOA4 (13.8%) in RET+ solid tumors. KIF5B-RET was the dominant fusion variant in RET+ NSCLC, NCOA4-RET was the dominant variant in RET+ colorectal carcinoma, and CCDC6-RET was the dominant variant in thyroid cancer. The most common single gene alterations in RET+ tumors were TP53 (34.8%), RASA1 (14.3%) and ARIAD1A (11.6%). RET+ CRC had a high median TMB of 20.0 and were commonly MSI-H. Conclusions: RET fusions were identified in multiple tumor types. With a higher median TMB and commonly MSIH, RET fusion positive CRC may be a unique molecular subset of CRC.

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