Combined Dacomitinib and Selpercatinib Treatment for a Patient with EGFR-Mutant Non-Small Cell Lung Cancer and Acquired CCDC6-RET Fusion.

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY OncoTargets and therapy Pub Date : 2024-06-18 eCollection Date: 2024-01-01 DOI:10.2147/OTT.S470946
Cheng-Yin Liu, Chia-Hsin Liu
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引用次数: 0

Abstract

RET rearrangements are recognized drivers in lung cancer, representing a small subset (1-2%) of non-small cell lung cancer (NSCLC). Additionally, RET fusions also serve as a rare acquired resistance mechanism in EGFR-mutant NSCLC. Only a few NSCLC cases have been reported with co-occurrence of EGFR mutations and RET fusions as an acquired resistance mechanism induced by EGFR-tyrosine kinase inhibitors (TKIs). A 68-year-old man diagnosed with lung adenocarcinoma harboring EGFR L858R mutation initially responded well to dacomitinib, a second-generation EGFR-tyrosine kinase inhibitor (TKI). Afterward, he developed acquired resistance accompanied by a RET rearrangement. Next-generation sequencing (NGS) analysis revealed that the tumor possessed both the new CCDC6-RET fusion and the EGFR L858R mutation. Subsequently, he was treated with a combination of cisplatin, pemetrexed, and bevacizumab resulting in a partial response. Nevertheless, his condition deteriorated as the disease progressed, manifesting as hydrocephalus, accompanied by altered consciousness and lower limb weakness. The subsequent combined treatment with dacomitinib and selpercatinib resulted in a significant improvement in neurological symptoms. Here, we first identified acquired CCDC6-RET fusion with a coexisting EGFR L858R mutation following dacomitinib treatment. Our findings highlight the importance of NGS for identifying RET fusions and suggest the potential combination of dacomitinib and selpercatinib to overcome this resistance. For NSCLC patients with RET rearrangements and no access to RET inhibitors, pemetrexed-based chemotherapy provides a feasible alternative.

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达科米替尼和赛乐替尼联合治疗一名表皮生长因子受体突变非小细胞肺癌和获得性CCDC6-RET融合的患者
RET 重排是公认的肺癌驱动因素,在非小细胞肺癌(NSCLC)中只占一小部分(1-2%)。此外,在表皮生长因子受体突变的 NSCLC 中,RET 融合也是一种罕见的获得性耐药机制。仅有少数NSCLC病例报道了表皮生长因子受体突变和RET融合同时存在,这是表皮生长因子受体-酪氨酸激酶抑制剂(TKIs)诱导的获得性耐药机制。一名68岁的男性被诊断出患有肺腺癌,并携带表皮生长因子受体(EGFR)L858R突变,起初他对第二代表皮生长因子受体-酪氨酸激酶抑制剂(TKI)达科米替尼反应良好。之后,他出现了伴有RET重排的获得性耐药。下一代测序(NGS)分析表明,肿瘤同时具有新的CCDC6-RET融合和表皮生长因子受体L858R突变。随后,他接受了顺铂、培美曲塞和贝伐单抗的联合治疗,结果获得了部分应答。然而,随着病情的发展,他的病情恶化,表现为脑积水,并伴有意识改变和下肢无力。随后,达科米替尼和舍佩卡替尼联合治疗后,神经系统症状明显改善。在此,我们首次发现了达科米替尼治疗后获得性CCDC6-RET融合,并同时存在表皮生长因子受体(EGFR)L858R突变。我们的研究结果凸显了 NGS 在识别 RET 融合方面的重要性,并表明达科米替尼和舍铂替尼有可能联合用于克服这种耐药性。对于有RET重排且无法使用RET抑制剂的NSCLC患者,基于培美曲塞的化疗提供了一种可行的替代方案。
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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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