Molecular and Clinical characteristics of ROS1 Fusion Variants in ROS1-rearranged Cancers: A Defined Role of Fusion Partners and Breakpoints of ROS1.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: ROS1 breakpoints in introns 33 and 34, compared with intron 32 and rare locations (80 %, 33
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Canonical fusion partners with introns 33 and 34 of ROS1 may be the most optimal predictors for ROS1-TKI benefit. Precise characterization of the variants in terms of ROS1 breakpoints could be important for patient stratification in ROS1-rearranged cancers.
[INTRODUCTION] ROS1-targeted tyrosine kinase inhibitors (TKIs) are the standard treatment for ROS1-rearranged cancers.
- p-value P < 0.001
APA
Jeong JS, Shin Y, et al. (2025). Molecular and Clinical characteristics of ROS1 Fusion Variants in ROS1-rearranged Cancers: A Defined Role of Fusion Partners and Breakpoints of ROS1.. European journal of cancer (Oxford, England : 1990), 231, 116091. https://doi.org/10.1016/j.ejca.2025.116091
MLA
Jeong JS, et al.. "Molecular and Clinical characteristics of ROS1 Fusion Variants in ROS1-rearranged Cancers: A Defined Role of Fusion Partners and Breakpoints of ROS1.." European journal of cancer (Oxford, England : 1990), vol. 231, 2025, pp. 116091.
PMID
41205256 ↗
Abstract 한글 요약
[INTRODUCTION] ROS1-targeted tyrosine kinase inhibitors (TKIs) are the standard treatment for ROS1-rearranged cancers. We here investigated the therapeutic significance of multiple fusion partners and variable ROS1 genomic breakpoints.
[METHODS] We retrieved 81 ROS1-rearranged cases from a clinical DNA-based next generation sequencing cohort and performed comprehensive analyses, including reverse transcription-polymerase chain reaction, RNA sequencing and immunohistochemistry staining. The obtained data were correlated with the clinical responses to ROS1-TKIs.
[RESULTS] ROS1 fusions with canonical and ∼20 rare fusion partners were identified. ROS1 breaks occurred at rare 12 exon/intron regions together with major breakpoints. High ROS1 expression correlated significantly with major breakpoints and canonical partners and low expression associated with rare breakpoints and non-canonical partners (P < 0.001). Cases with an intron 32 ROS1 breakpoint involved exclusion of exon 33 to generate an in-frame fusion, and canonical fusion partners showed a strong preference for an intron 33 to intron 32 breakpoint (P < 0.001). Significantly better progression-free survival rates (PFSR) were observed among first-line TKI-treated NSCLC patients with ROS1 breakpoints in introns 33 and 34, compared with intron 32 and rare locations (80 %, 33.3 %, and 0 %, respectively; P < 0.001). Patients with at least one major breakpoint or canonical partner also showed significantly better PFSR compared to those with both rare partners and non-major breakpoints (50.4 % vs 0 %, P < 0.001).
[CONCLUSIONS] Canonical fusion partners with introns 33 and 34 of ROS1 may be the most optimal predictors for ROS1-TKI benefit. Precise characterization of the variants in terms of ROS1 breakpoints could be important for patient stratification in ROS1-rearranged cancers.
[METHODS] We retrieved 81 ROS1-rearranged cases from a clinical DNA-based next generation sequencing cohort and performed comprehensive analyses, including reverse transcription-polymerase chain reaction, RNA sequencing and immunohistochemistry staining. The obtained data were correlated with the clinical responses to ROS1-TKIs.
[RESULTS] ROS1 fusions with canonical and ∼20 rare fusion partners were identified. ROS1 breaks occurred at rare 12 exon/intron regions together with major breakpoints. High ROS1 expression correlated significantly with major breakpoints and canonical partners and low expression associated with rare breakpoints and non-canonical partners (P < 0.001). Cases with an intron 32 ROS1 breakpoint involved exclusion of exon 33 to generate an in-frame fusion, and canonical fusion partners showed a strong preference for an intron 33 to intron 32 breakpoint (P < 0.001). Significantly better progression-free survival rates (PFSR) were observed among first-line TKI-treated NSCLC patients with ROS1 breakpoints in introns 33 and 34, compared with intron 32 and rare locations (80 %, 33.3 %, and 0 %, respectively; P < 0.001). Patients with at least one major breakpoint or canonical partner also showed significantly better PFSR compared to those with both rare partners and non-major breakpoints (50.4 % vs 0 %, P < 0.001).
[CONCLUSIONS] Canonical fusion partners with introns 33 and 34 of ROS1 may be the most optimal predictors for ROS1-TKI benefit. Precise characterization of the variants in terms of ROS1 breakpoints could be important for patient stratification in ROS1-rearranged cancers.
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