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ESMO Open. 2025;10(1):104097.

Genomic profiling of intimal sarcoma reveals molecular subtypes with distinct tumor microenvironments and therapeutic implications.

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제1저자 박창희, 김록현 · 교신저자 김미소, 최재용

소속 (7)
  1. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  2. Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.
  3. Department of Pathology, Seoul National University Hospital, Seoul, Korea.
  4. Lunit Inc., Seoul, Korea.
  5. Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.
  6. Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea. Electronic address: mesnger12@gmail.com.
  7. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. Electronic address: misokim@snu.ac.kr.

Abstract

BACKGROUND Intimal sarcoma is a rare and aggressive soft-tissue sarcoma with limited treatment options. We explored genomic profiles of intimal sarcoma to uncover therapeutic implications.

MATERIALS AND METHODS We analyzed tumor tissues from patients with intimal sarcoma who visited the Seoul National University Hospital (SNUH) using whole-exome, whole-transcriptome, and clinical next-generation sequencing (NGS), integrated with intimal sarcoma NGS data from two public cohorts. We examined expression characteristics and tumor-infiltrating lymphocytes (TILs) according to molecular subtypes.

RESULTS Our study included 42 samples in total. Thirty-three patients showing copy number variation (CNV) enrichment with frequent CDK4/MDM2 amplifications were classified as the CNV-high (CNV-H) subtype. Five patients showing predominant MLH1 mutations or homozygous deletions were classified as the microsatellite instability-high-like (MSI-H-like) subtype. Hallmark pathways up-regulated in the CNV-H subtype included Wnt β-catenin and Hedgehog signaling. In the MSI-H-like subtype, interferon-γ response, tumor necrosis factor-α signaling via nuclear factor-κB, interferon-α response, inflammatory response, and interleukin-6-Jak-Stat3 signaling were up-regulated. CNV-H subtype samples predominantly showed an immune-desert phenotype, whereas MSI-H-like subtype samples predominantly showed an immune-inflamed phenotype. Two MSI-H-like subtype patients received pembrolizumab and experienced tumor shrinkage.

CONCLUSIONS We identified two intimal sarcoma molecular subtypes. Compared with CNV-H, MSI-H-like is enriched in pathways associated with tumor immune responses and TILs. Further efforts and clinical trials to better define these molecular subtypes are warranted to open new avenues for personalized treatment approaches and improve patient outcomes.

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords

genomicsintimal sarcomamicrosatellite instability-hightranscriptomicstumor-infiltrating lymphocytes

Figures

Figure 1
Figure 1 Schematic of the study workflow. Overview of the datasets used, comprising three cohorts from the SNUH, AACR GENIE, and MSKCC, along with the overall workflow. WES, whole-exome sequencing; WTS, whole-transcriptome sequencing.
Figure 2
Figure 2 Distinct subtypes of intimal sarcoma defined by oncological patterns. (A) Oncoplot of 41 samples from 38 patients with intimal sarcoma who were classified into the MSI-H-like or CNV-H subtype, including four recurrent samples from the SNUH cohort. Recurrent samples, marked with ‘R’ above the chart, are shown alongside their primary samples marked with ‘P’ on their left. The two patients marked with an asterisk (∗) are SNU09 and SNU13, respectively, representing patients who received pembrolizumab. (B) Pie chart depicting the subtype composition of combined the SNUH and public cohorts, including 41 patients in total. Colors are the same as those in panel A. The MSI-H-like subtype comprised five patients, including three from the SNUH cohort and two from the AACR GENIE cohort; the CNV-H subtype included 31 patients, including 7 from the SNUH cohort (Teal), 8 from the AACR GENIE cohort (Light blue), and 16 from the MSKCC cohort (yellow). The ‘inconclusive’ subtype comprised three samples from the AACR GENIE cohort that could not be identified as having a specific oncological pattern because of a lack of information. In panels B, C, and D, only primary samples were analyzed; recurrent samples were excluded from statistical analysis. (C) Left, comparison of TMB between the MSI-H-like (n = 2) and CNV-H (n = 22) subtypes in the SNUH and MSKCC cohorts (P = 0.0072, Mann–Whitney test). Right, comparison of FGA between the MSI-H-like (n = 2) and CNV-H (n = 24) subtypes in the SNUH and MSKCC cohorts (P = 0.1846, Mann–Whitney test). (D) Co-occurrence and mutual exclusivity in 36 intimal sarcoma samples. Co-occurring events are indicated in green, and mutually exclusive events in brown. P values were estimated using the Poisson binominal distribution in the Rediscover R-package. FGA, fraction of genome altered; CNV-H, copy number variation-high; MSI-H, microsatellite instability-high; TMB, tumor mutational burden; WES, whole-exome sequencing.
Figure 3
Figure 3 Distinct immunological patterns between the MSI-H-like and CNV-H subtypes. (A) Immune score calculated using ESTIMATE for WTS samples from 10 patients with intimal sarcoma (including primary and recurrent samples) in the SNUH cohort (P = 0.0485, Mann–Whitney test). (B) Hallmark pathways determined by GSEA of the genes up-regulated in each subtype using 10 samples from the SNUH cohort. (C) Representative hematoxylin and eosin slides evaluated using Lunit SCOPE IO. The upper image is from the MSI-H-like subtype, interpreted as the inflamed phenotype, and the lower image is from the CNV-H subtype, interpreted as the desert phenotype. Yellow dots indicate TILs, and orange dots indicate cancer cells. (D) Boxplots of inflamed scores, excluded scores, desert scores, and TLS counts according to the immune phenotype, evaluated using Lunit SCOPE IO. CNV-H, copy number variation-high; GSEA, gene set enrichment analysis; MSI-H, microsatellite instability-high; TILs, tumor-infiltrating lymphocytes; TLS, tertiary lymphoid structure; WTS, whole-transcriptome sequencing.
Figure 4
Figure 4 Clinicaltrajectories of patients who received pembrolizumab. (A) Clinical trajectory of patient SNU09. (B) Clinical trajectory of patient SNU13. s/p, status post.

그림 출처: PubMed Central 공개 논문 (PMC11758979)

그 밖의 정보
출판 형태
Journal Article
저널
ESMO open · eISSN 2059-7029
전자 출판
2025-01-07
MeSH
Humans · Sarcoma* / genetics / pathology · Tumor Microenvironment* / genetics · Male · Female · Middle Aged · Aged · DNA Copy Number Variations · Adult · Genomics / methods
참고문헌
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