Neutrophil extracellular trap related risk score exhibits crucial prognostic value in skin cutaneous melanoma, associating with distinct immune characteristics DOI Creative Commons

Haiyang Zhang,

Xiaoqing Bi,

Pengrong Yan

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(8)

Опубликована: Авг. 1, 2024

Abstract Background Neutrophil extracellular traps (NETs) are related to the prognosis of cancer patients. Nevertheless, potential prognostic values NETs in skin cutaneous melanoma (SKCM) remains largely unknown. Materials and methods The NET‐related gene signature was constructed by LASSO Cox regression analysis using TCGA‐SKCM cohort. overall survival (OS) immune status SKCM patients between high‐ low‐NET score (high‐score, low‐score) groups were explored. scRNA‐seq dataset GSE115978 used understand role NET at single cell resolution. Results A five genes‐based (TLR2, CLEC6A, PDE4B, SLC22A4 CYP4F3) as model for SKCM. OS with low‐score better than that high‐score. Additionally, negatively associated infiltration some cells (e.g. type I Macrophages, CD8‐T cells, CD4‐T cells). Moreover, high‐score had low stromal, ESTIMATE scores. Furthermore, drug sensitivity results showed Lapatinib, Trametinib Erlotinib may have therapeutic advantages Conclusion We established a found exhibit good predictive ability prognosis. not only predict outcome SKCM, but also reflect conditions

Язык: Английский

Neutrophil extracellular trap related risk score exhibits crucial prognostic value in skin cutaneous melanoma, associating with distinct immune characteristics DOI Creative Commons

Haiyang Zhang,

Xiaoqing Bi,

Pengrong Yan

и другие.

Skin Research and Technology, Год журнала: 2024, Номер 30(8)

Опубликована: Авг. 1, 2024

Abstract Background Neutrophil extracellular traps (NETs) are related to the prognosis of cancer patients. Nevertheless, potential prognostic values NETs in skin cutaneous melanoma (SKCM) remains largely unknown. Materials and methods The NET‐related gene signature was constructed by LASSO Cox regression analysis using TCGA‐SKCM cohort. overall survival (OS) immune status SKCM patients between high‐ low‐NET score (high‐score, low‐score) groups were explored. scRNA‐seq dataset GSE115978 used understand role NET at single cell resolution. Results A five genes‐based (TLR2, CLEC6A, PDE4B, SLC22A4 CYP4F3) as model for SKCM. OS with low‐score better than that high‐score. Additionally, negatively associated infiltration some cells (e.g. type I Macrophages, CD8‐T cells, CD4‐T cells). Moreover, high‐score had low stromal, ESTIMATE scores. Furthermore, drug sensitivity results showed Lapatinib, Trametinib Erlotinib may have therapeutic advantages Conclusion We established a found exhibit good predictive ability prognosis. not only predict outcome SKCM, but also reflect conditions

Язык: Английский

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