Elucidating divergent biology in uterine carcinosarcoma.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
9 patients revealed a low tumor mutation burden (TMB; median = 0.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Computational morphologic analysis showed substantial histomorphologic heterogeneity within and across UCS cases. [CONCLUSION] By elucidating the complex interplay between the epithelial and mesenchymal components, this study enhances our understanding of UCS and informs the development of novel therapeutic strategies targeting both genomic alterations and the TME.
[OBJECTIVES] Uterine carcinosarcoma (UCS) is an aggressive malignancy characterized by epithelial (C) and mesenchymal (S) components, with complex biology and poor treatment response.
APA
Garg V, Prokopec SD, et al. (2025). Elucidating divergent biology in uterine carcinosarcoma.. Translational oncology, 61, 102506. https://doi.org/10.1016/j.tranon.2025.102506
MLA
Garg V, et al.. "Elucidating divergent biology in uterine carcinosarcoma.." Translational oncology, vol. 61, 2025, pp. 102506.
PMID
40850250 ↗
Abstract 한글 요약
[OBJECTIVES] Uterine carcinosarcoma (UCS) is an aggressive malignancy characterized by epithelial (C) and mesenchymal (S) components, with complex biology and poor treatment response. This study aims to enhance understanding of UCS through genomic, epigenomic, and transcriptomic analysis.
[METHODS] Microdissected (C and S) tumor samples were processed for whole-genome sequencing (WGS), RNA-seqencing, and enzymatic methylation sequencing (EM-Seq). Multiplex immunohistochemistry (mIHC) and computational pathology techniques were employed to assess tumour microenvironment (TME).
[RESULTS] WGS and EM-seq of 18 samples from 9 patients revealed a low tumor mutation burden (TMB; median = 0.97 mutations/Mb) and no evidence of microsatellite instability (MSI). Driver mutations were identified in TP53 (94 %), PIK3CA (33 %), and PPP2R1A (22 %). Copy-number (CN) analysis revealed recurrent amplifications of MYC (67 %), PIK3CA (61 %), CCNE1 (56 %), AKT2 (44 %), and SMARCA4 (39 %). Comparative analysis of the C and S regions revealed no significant differences in mutation frequency, CN, transcriptomic and methylomic profiles. Both regions exhibited global hypomethylation, with functional enrichment for xenobiotic metabolism pathways in C and epithelial-to-mesenchymal transition pathways in S regions. Comparitive mIHC performed on 21 cases showed similar T cell and B cell densities, but a higher density of tumour-associated macrophages and PD-L1+ cells in the S component. Computational morphologic analysis showed substantial histomorphologic heterogeneity within and across UCS cases.
[CONCLUSION] By elucidating the complex interplay between the epithelial and mesenchymal components, this study enhances our understanding of UCS and informs the development of novel therapeutic strategies targeting both genomic alterations and the TME.
[METHODS] Microdissected (C and S) tumor samples were processed for whole-genome sequencing (WGS), RNA-seqencing, and enzymatic methylation sequencing (EM-Seq). Multiplex immunohistochemistry (mIHC) and computational pathology techniques were employed to assess tumour microenvironment (TME).
[RESULTS] WGS and EM-seq of 18 samples from 9 patients revealed a low tumor mutation burden (TMB; median = 0.97 mutations/Mb) and no evidence of microsatellite instability (MSI). Driver mutations were identified in TP53 (94 %), PIK3CA (33 %), and PPP2R1A (22 %). Copy-number (CN) analysis revealed recurrent amplifications of MYC (67 %), PIK3CA (61 %), CCNE1 (56 %), AKT2 (44 %), and SMARCA4 (39 %). Comparative analysis of the C and S regions revealed no significant differences in mutation frequency, CN, transcriptomic and methylomic profiles. Both regions exhibited global hypomethylation, with functional enrichment for xenobiotic metabolism pathways in C and epithelial-to-mesenchymal transition pathways in S regions. Comparitive mIHC performed on 21 cases showed similar T cell and B cell densities, but a higher density of tumour-associated macrophages and PD-L1+ cells in the S component. Computational morphologic analysis showed substantial histomorphologic heterogeneity within and across UCS cases.
[CONCLUSION] By elucidating the complex interplay between the epithelial and mesenchymal components, this study enhances our understanding of UCS and informs the development of novel therapeutic strategies targeting both genomic alterations and the TME.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
- S-nitrosylated COX-2 is a microenvironment-regulated breast cancer cell biomarker of mesenchymal phenotypes.
- Integrative Multi-Omics Analysis Uncovers Immunological Phenotypes Predictive of Combinatorial Immunotherapy Response in Gastric Cancer.
- Targeting CPS1 attenuates lung cancer metastasis by regulating EMT through an epigenetic mechanism.
- The Role of the HMGB1 C-Terminal Domain in Epithelial-Mesenchymal Transition and Invasion in 2D and 3D MDA-MB-231 Breast Cancer Models.
- Decoding the Molecular Drivers of Epithelial to Mesenchymal Transition in Breast Cancer: Insights into Epithelial Plasticity and Microenvironment Crosstalk.
- DCTPP1 drives immunosuppression and poor prognosis in breast cancer by promoting M2 macrophage polarization.