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Comprehensive Molecular Characterization of Soft Tissue Sarcoma for Prediction of Pazopanib-Based Treatment Response.

Authors :
Jung Yong Hong
Hee Jin Cho
Kum-Hee Yun
Young Han Lee
Seung Hyun Kim
Wooyeol Baek
Sang Kyum Kim
Yurimi Lee
Yoon-La Choi
Minsuk Kwon
Hyo Song Kim
Jeeyun Lee
Source :
Cancer Research & Treatment; Apr2023, Vol. 55 Issue 2, p671-683, 13p
Publication Year :
2023

Abstract

Purpose Even though pazopanib, a multitargeted tyrosine kinase inhibitor, has been approved for refractory soft tissue sarcoma (STS), little is known about the molecular determinants of the response to pazopanib. We performed integrative molecular characterization to identify potential predictors of pazopanib efficacy. Materials and Methods We obtained fresh pre-treatment tumor tissue from 35 patients with advanced STS receiving pazopanibbased treatment. Among those, 18 (51.4%) received pazopanib monotherapy, and the remaining 17 (48.6%) received pazopanib in combination with durvalumab, programmed death-ligand 1 blockade. Whole-exome and transcriptome sequencing were performed for each tumor and patient germline DNA. Results Of the 35 patients receiving pazopanib-based treatment, nine achieved a partial response (PR), resulting in an objective response rate (ORR) of 27.3%, and the median progression-free survival (PFS) was 6.0 months. Patients with CDK4 amplification (copy ratio tumor to normal > 2) exhibited shorter PFS (3.7 vs. 7.9 months, p=2.09×10<superscript>-4</superscript>) and a poorer response (ORR; 0% vs. 33.3%) compared to those without a gene amplification (copy ratio = 2). Moreover, non-responders demonstrated transcriptional activation of CDK4 via DNA amplification, resulting in cell cycle activation. In the durvalumab combination cohort, seven of the 17 patients (41.2%) achieved a PR, and gene expression analysis revealed that durvalumab responders exhibited high immune/stromal cell infiltration, mainly comprising natural killer cells, compared to non-responders as well as increased expression of CD19, a B-cell marker. Conclusion Despite the limitation of heterogeneity in the study population and treatment, we identified possible molecular predictors of pazopanib efficacy that can be employed in future clinical trials aimed at evaluating therapeutic strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15982998
Volume :
55
Issue :
2
Database :
Complementary Index
Journal :
Cancer Research & Treatment
Publication Type :
Academic Journal
Accession number :
163861029
Full Text :
https://doi.org/10.4143/crt.2022.251