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Biomedical subjects

Kyung Yeon Han

Publications and source records attributed to Kyung Yeon Han.

2 recordsLinked to original sources

Paradoxical Effect of Myosteatosis on the Immune Checkpoint Inhibitor Response in Metastatic Renal Cell Carcinoma.

BACKGROUND: Treatment for metastatic renal cell carcinoma (mRCC) has shifted from tyrosine kinase inhibitor (TKI) therapy to immune checkpoint inhibitor (ICI)-based therapy, improving outcomes but with variable individual responses. This study investigated the prognostic implications of pretreatment low skeletal muscle mass (LSMM) and myosteatosis in patients with mRCC undergoing first-line ICI-based therapies, comparing outcomes between PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor and PD-1 inhibitor&#x2009;+&#x2009;TKI, incorporating single-cell RNA sequencing. METHODS: A retrospective analysis was performed on 90 patients with mRCC treated with ICI-based therapies between November 2019 and March 2023. Patients were grouped based on whether they received PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor or PD-1 inhibitor&#x2009;+&#x2009;TKI combinations. LSMM was defined as skeletal muscle index below 40.8&#x2009;cm2/m2 for men and 34.9&#x2009;cm2/m2 for women. Myosteatosis was defined using skeletal muscle density, with cut-off values <&#x2009;41&#x2009;HU for BMI&#x2009;<&#x2009;25&#x2009;kg/m2 and <&#x2009;33&#x2009;HU for BMI&#x2009;&#x2265;&#x2009;25&#x2009;kg/m2. Progression-free survival (PFS) and overall survival (OS) were compared using Kaplan-Meier curves and multivariable models. Single-cell RNA sequencing was performed on pretreatment samples to compare the immune microenvironment between patients with and without myosteatosis. RESULTS: The study cohort (26.7% female; median age: 60.5&#x2009;years) included 59 patients (65.6%) treated with PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor and 31 patients (34.4%) treated with PD-1 inhibitor&#x2009;+&#x2009;TKI. LSMM was present in 18.9% of patients, and myosteatosis in 41.1%, with comparable proportions across groups. During follow-up, 29 patients (32.2%) died: 16 in the PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor group and 13 in the PD-1 inhibitor&#x2009;+&#x2009;TKI group. The overall 1-year mortality rate was 22.2%, and PFS rate was 53.3%. Myosteatosis predicted poor OS (HR, 5.389; p&#x2009;=&#x2009;0.008) and PFS (HR, 2.930; p&#x2009;=&#x2009;0.022) in the PD-1 inhibitor&#x2009;+&#x2009;TKI group but was protective for PFS (HR, 0.461; p&#x2009;=&#x2009;0.049) in the PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor group. LSMM did not significantly affect outcomes in either group. Single-cell RNA sequencing revealed higher CTLA-4 expression in regulatory T cells and more effector memory CD8+ T cells in patients with myosteatosis, whereas patients without myosteatosis had more anti-tumoural non-classical monocytes. CONCLUSIONS: Myosteatosis negatively impacts OS and PFS in patients with mRCC treated with PD-1 inhibitor&#x2009;+&#x2009;TKI therapy but is protective for PFS in those treated with PD-1 inhibitor&#x2009;+&#x2009;CTLA-4 inhibitor therapy. Altered checkpoint expression and immune cell composition associated with myosteatosis may contribute to these differential responses.

Humans

Quantification of escape from X chromosome inactivation with single-cell omics data reveals heterogeneity across cell types and tissues.

Several X-linked genes escape from X chromosome inactivation (XCI), while differences in escape across cell types and tissues are still poorly characterized. Here, we developed scLinaX for directly quantifying relative gene expression from the inactivated X chromosome with droplet-based single-cell RNA sequencing (scRNA-seq) data. The scLinaX and differentially expressed gene analyses with large-scale blood scRNA-seq datasets consistently identified the stronger escape in lymphocytes than in myeloid cells. An extension of scLinaX to a 10x multiome dataset (scLinaX-multi) suggested a stronger escape in lymphocytes than in myeloid cells at the chromatin-accessibility level. The scLinaX analysis of human multiple-organ scRNA-seq datasets also identified the relatively strong degree of escape from XCI in lymphoid tissues and lymphocytes. Finally, effect size comparisons of genome-wide association studies between sexes suggested the underlying impact of escape on the genotype-phenotype association. Overall, scLinaX and the quantified escape catalog identified the heterogeneity of escape across cell types and tissues.

X Chromosome Inactivation