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Longitudinal Whole-Exome Sequencing Identifies Clonal Hematopoiesis and Genomic Heterogeneity as a Predictor of Treatment Outcome in Patients with Newly Diagnosed, Elderly Chronic Lymphocytic Leukemia.

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International journal of molecular sciences 📖 저널 OA 100% 2021: 8/8 OA 2022: 38/38 OA 2023: 49/49 OA 2024: 103/103 OA 2025: 453/453 OA 2026: 454/454 OA 2021~2026 2026 Vol.27(6) OA
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유사 논문
P · Population 대상 환자/모집단
환자: complete response at end of treatment, whereas partial response or progressive disease cases were more dispersed
I · Intervention 중재 / 시술
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C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
In paired samples collected 3-5 months after end of treatment, CHIP status changed in some patients. Serial WES may provide complementary information to treatment response, although these observations require confirmation in larger cohorts.

Jang HC, Song GY, Jeong H, Byun JM, Kong JH, Lee MW

📝 환자 설명용 한 줄

Chronic lymphocytic leukemia (CLL) is uncommon in Asia, and longitudinal genomic data from Asian cohorts are limited.

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↓ .bib ↓ .ris
APA Jang HC, Song GY, et al. (2026). Longitudinal Whole-Exome Sequencing Identifies Clonal Hematopoiesis and Genomic Heterogeneity as a Predictor of Treatment Outcome in Patients with Newly Diagnosed, Elderly Chronic Lymphocytic Leukemia.. International journal of molecular sciences, 27(6). https://doi.org/10.3390/ijms27062610
MLA Jang HC, et al.. "Longitudinal Whole-Exome Sequencing Identifies Clonal Hematopoiesis and Genomic Heterogeneity as a Predictor of Treatment Outcome in Patients with Newly Diagnosed, Elderly Chronic Lymphocytic Leukemia.." International journal of molecular sciences, vol. 27, no. 6, 2026.
PMID 41898475 ↗

Abstract

Chronic lymphocytic leukemia (CLL) is uncommon in Asia, and longitudinal genomic data from Asian cohorts are limited. We conducted serial whole-exome sequencing (WES) in a multicenter Korean cohort of newly diagnosed, elderly CLL treated with chlorambucil-obinutuzumab to evaluate mutational heterogeneity and clonal hematopoiesis of indeterminate potential (CHIP) during treatment and follow-up. Tumor-only variants were filtered, restricted to nonsynonymous or loss-of-function coding/splice-site mutations, and summarized as a binary patient-by-gene matrix for principal component analysis (PCA), trajectory analysis, and k-means clustering. CHIP was defined as ≥1 qualifying mutation in a prespecified CHIP gene set. Baseline PCA was more compact in patients with complete response at end of treatment, whereas partial response or progressive disease cases were more dispersed. PCA trajectories were compact and directionally consistent in complete responders, more dispersed in partial responders, and highly heterogeneous without a dominant direction in progressive disease. Clustering identified dispersed and compact clusters, and CHIP-associated mutations were enriched in the dispersed cluster (55.6% vs. 8.3%, Fisher's exact = 0.0086). In paired samples collected 3-5 months after end of treatment, CHIP status changed in some patients. Serial WES may provide complementary information to treatment response, although these observations require confirmation in larger cohorts.

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