Exploration of the heterogeneity and interaction of epithelial cells and NK/T-cells in Laryngeal Squamous Cell Carcinoma based on single-cell RNA sequencing data

Liu, Yanan; Gao, Zhiguang; Peng, Cheng; Jiang, Xingli

doi:10.1016/j.bjorl.2023.02.003

Cited by 1 publication

(1 citation statement)

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“…Despite significant advancements in medical technology that have greatly improved the diagnosis and treatment of ESCC, its 5‐year survival rate remains low 3 . Due to the high heterogeneity of ESCC, particularly among patients, tumors and within tumors, it is challenging to identify a universally effective treatment approach for all patients 4 . Moreover, current pathology‐based classification methods are insufficient in identifying specific patient populations that are sensitive to particular treatments.…”

Section: Introductionmentioning

confidence: 99%

Clinical prognostication and immunotherapy response prediction in esophageal squamous cell carcinoma using the DNA damage repair‐associated signature

Zhang,

Wen,

Gong

et al. 2024

Environmental Toxicology

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BackgroundThe relationship between DNA damage repair (DDR) and cancer is intricately intertwined; however, its specific role in esophageal squamous cell carcinoma (ESCC) remains enigmatic.MethodsEmploying single‐cell analysis, we delineated the functionality of DDR‐related genes within the tumor microenvironment (TME). A diverse array of scoring mechanisms, including AUCell, UCell, singscore, ssgsea, and AddModuleScore, were harnessed to scrutinize the activity of DDR‐related genes across different cell types. Differential pathway alterations between high‐and low‐DDR activity cell clusters were compared. Furthermore, leveraging multiple RNA‐seq datasets, we constructed a robust DDR‐associated signature (DAS), and through integrative multiomics analysis, we explored differences in prognosis, pathways, mutational landscapes, and immunotherapy predictions among distinct DAS groups.ResultsNotably, high‐DDR activity cell subpopulations exhibited markedly enhanced cellular communication. The DAS demonstrated uniformity across multiple datasets. The low‐DAS group exhibited improved prognoses, accompanied by heightened immune infiltration and elevated immune checkpoint expression. SubMap analysis of multiple immunotherapy datasets suggested that low‐DAS group may experience enhanced immunotherapy responses. The “oncopredict” R package analyzed and screened sensitive drugs for different DAS groups.ConclusionThrough the integration of single‐cell and bulk RNA‐seq data, we have developed a DAS associated with prognosis and immunotherapy response. This signature holds promise for the future stratification and personalized treatment of ESCC patients in clinical settings.

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Section: Introductionmentioning

confidence: 99%