Single-cell analysis of treatment-resistant prostate cancer demonstrated high heterogeneity between cell states across various advanced disease types, including castration-resistant and neuroendocrine prostate cancers. Expression of PSMA, STEAP1, STEAP2, TROP2, CEACAM5 and DLL3 were observed to vary within a subset of gene regulatory networks. Thus, gene regulatory networks could be used to identify cell states, which might improve diagnostic precision.

中文翻译：

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晚期前列腺癌的单细胞分析

对治疗抵抗性前列腺癌的单细胞分析表明，各种晚期疾病类型（包括去势抵抗性前列腺癌和神经内分泌前列腺癌）的细胞状态之间存在高度异质性。观察到PSMA 、 STEAP1 、 STEAP2 、 TROP2 、 CEACAM5和DLL3的表达在基因调控网络的子集中有所不同。因此，基因调控网络可用于识别细胞状态，这可能会提高诊断精度。