Tumor size is the most significant risk factor for local recurrence in dermatofibrosarcoma protuberans: A large-scale retrospective cohort analysis

Baig, Imran; Lauck, Kyle; Nguyen, Quoc-Bao D.

doi:10.1016/j.jaad.2023.06.044

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The management of DFSP adopts a multidisciplinary approach, tailored to the tumor's unique behavior. Surgical excision serves as the primary modality, with the extent of resection and adjuvant therapies adjusted according to tumor size, location, and recurrence risk [12]. In advanced or unresectable cases, Imatinib, a tyrosine kinase inhibitor targeting PDGF receptor (PDGFR) pathways, has emerged as a promising therapeutic avenue [13,14].…”

Section: Introductionmentioning

confidence: 99%

Unraveling intratumoral complexity in metastatic dermatofibrosarcoma protuberans through single-cell RNA sequencing analysis

Ge,

Wang,

Wei

et al. 2023

Cancer Immunol Immunother

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Dermato brosarcoma protuberans (DFSP) stands as a rare and locally aggressive soft tissue tumor, characterized by intricated molecular alterations. The imperative to unravel the complexities of intratumor heterogeneity underscores effective clinical management. Herein, we harnessed single-cell RNA sequencing (scRNA-seq) to conduct a comprehensive analysis encompassing samples from primary sites, satellite foci, and lymph node metastases. Rigorous preprocessing of raw scRNA-seq data ensued, and employing t-distributed stochastic neighbor embedding (tSNE) analysis, we unveiled seven major cell populations and fteen distinct subpopulations. Malignant cell subpopulations were delineated using infercnv for copy number variation calculations. Functional and metabolic variations of diverse malignant cell populations across samples were deciphered utilizing GSVA and the scMetabolism R packages. Additionally, the exploration of differentiation trajectories within diverse broblast subpopulations was orchestrated through pseudotime trajectory analyses employing CytoTRACE and Monocle2, and further bolstered by GO analyses to elucidate the functional disparities across distinct differentiation states. In parallel, immune microenvironmental cellular components were segmented, and GSEA analyses uncovered functional differences across the three tumor samples. Remarkably, the CellChat facilitated a comprehensive intercellular communication analysis. This study culminates in an all-encompassing single-cell transcriptome atlas, propounding novel insights into the multifaceted nature of intratumor heterogeneity and fundamental molecular mechanisms propelling metastatic DFSP.

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Section: Introductionmentioning

confidence: 99%

Unraveling intratumoral complexity in metastatic dermatofibrosarcoma protuberans through single-cell RNA sequencing analysis

Ge,

Wang,

Wei

et al. 2023

Cancer Immunol Immunother

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Dermatofibrosarcoma protuberans recurrence: Size matters

Heymann

2023

Journal of the American Academy of Dermatology

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Unraveling Intratumoral Complexity in Metastatic Dermatofibrosarcoma Protuberans through Single-Cell RNA Sequencing Analysis

Ge,

Wang,

Wei

et al. 2023

Preprint

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Dermatofibrosarcoma protuberans (DFSP) stands as a rare and locally aggressive soft tissue tumor, characterized by intricated molecular alterations. The imperative to unravel the complexities of intratumor heterogeneity underscores effective clinical management. Herein, we harnessed single-cell RNA sequencing (scRNA-seq) to conduct a comprehensive analysis encompassing samples from primary sites, satellite foci, and lymph node metastases. Rigorous preprocessing of raw scRNA-seq data ensued, and employing t-distributed stochastic neighbor embedding (tSNE) analysis, we unveiled seven major cell populations and fifteen distinct subpopulations. Malignant cell subpopulations were delineated using infercnv for copy number variation calculations. Functional and metabolic variations of diverse malignant cell populations across samples were deciphered utilizing GSVA and the scMetabolism R packages. Additionally, the exploration of differentiation trajectories within diverse fibroblast subpopulations was orchestrated through pseudotime trajectory analyses employing CytoTRACE and Monocle2, and further bolstered by GO analyses to elucidate the functional disparities across distinct differentiation states. In parallel, immune microenvironmental cellular components were segmented, and GSEA analyses uncovered functional differences across the three tumor samples. Remarkably, the CellChat facilitated a comprehensive intercellular communication analysis. This study culminates in an all-encompassing single-cell transcriptome atlas, propounding novel insights into the multifaceted nature of intratumor heterogeneity and fundamental molecular mechanisms propelling metastatic DFSP.

show abstract

Tumor size is the most significant risk factor for local recurrence in dermatofibrosarcoma protuberans: A large-scale retrospective cohort analysis

Cited by 4 publications

References 5 publications

Unraveling intratumoral complexity in metastatic dermatofibrosarcoma protuberans through single-cell RNA sequencing analysis

Unraveling intratumoral complexity in metastatic dermatofibrosarcoma protuberans through single-cell RNA sequencing analysis

Dermatofibrosarcoma protuberans recurrence: Size matters

Unraveling Intratumoral Complexity in Metastatic Dermatofibrosarcoma Protuberans through Single-Cell RNA Sequencing Analysis

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