PO.CH02.01 · 化学
基于血液的蛋白质组学分析揭示神经内分泌前列腺癌的新型生物标志物
Blood-based proteomic profiling reveals novel biomarkers of neuroendocrine prostate cancer
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摘要 Abstract
中文摘要
神经内分泌前列腺癌(NEPC)是转移性前列腺癌的一种侵袭性、AR非依赖亚型,中位生存期为7-15个月。从前列腺腺癌向NEPC的转分化通过一种称为谱系可塑性的机制发生。由于缺乏稳健的生物标志物以及显著的空间和时间异质性,NEPC的诊断仍是重大临床挑战。迫切需要在临床表现出现之前用于NEPC的诊断生物标志物。为表征NEPC的蛋白质组图景,我们首先在NEPC(H660)和腺癌(VCaP)细胞系中使用LC-MS/MS进行了自下而上的蛋白质组学分析。两种细胞系平均鉴定出10,230种蛋白,其中超过1,300种蛋白在NEPC中相对于VCaP显著富集。NCAM1作为NEPC的临床标志物,位于显著富集的蛋白之列(校正后p=0.004;Log2FC=6.5),支持我们发现的生物学意义。通路分析揭示了E2F、EMT和p53信号通路的富集,与已确立的谱系可塑性机制一致。接下来,我们使用来自病理确诊NEPC或伴随RB1/TP53缺失患者(n=21)以及无组织学转化证据的RB1/TP53野生型前列腺腺癌患者(n=20)的血浆开展了一项前瞻性初步研究。为增强对低丰度蛋白的检测,我们应用了序贯富集与洗脱(SEER),随后进行Proteograph XT酶解和高分辨率质谱。使用数据非依赖采集-神经网络(DIA-NN)处理识别推定的蛋白型。两个队列共鉴定出6,619种蛋白,其中93种在NEPC样本中显著富集,包括NCAM1,从而在血浆中验证了该方法。此外,还检测到潜在的新标志物,如甲硫氨酸腺苷转移酶2A(MAT2A)(校正后p=2.59E-09;Log2FC=2.8),一种雄激素非依赖细胞状态的关键代谢驱动因子。神经元特异性烯醇化酶(NSE/ENO2),一种与前列腺癌不良预后和肿瘤去分化相关的糖酵解酶,仅在H660细胞和NEPC患者样本中表达。通路分析揭示了神经内分泌与有丝分裂生殖细胞相关程序的共富集,反映了在谱系可塑性期间增强转移能力的广泛表型重编程。这些发现证明了血液蛋白质组学分析在发现NEPC预后和预测性生物标志物方面的效用。这些标志物可能有助于阐明谱系可塑性背后的分子机制。此外,高分辨率血浆蛋白质组学提供了一种有前景的方法,以克服组织活检的局限性——后者常受限于高瘤内异质性以及当前病理标志物缺乏特异性。
查看英文原文 English abstract
Neuroendocrine prostate cancer (NEPC) is an aggressive, AR-indifferent subtype of metastatic prostate cancer, with a median survival of 7-15 months. Trans-differentiation from prostate adenocarcinoma to NEPC occurs through a mechanism termed lineage plasticity. Diagnosing NEPC remains a major clinical challenge due to the lack of robust biomarkers and pronounced spatial and temporal heterogeneity. There is an urgent need for diagnostic biomarkers of NEPC before clinical manifestation. To characterize the proteomic landscape of NEPC, we first performed a bottom-up proteomic analysis using LC-MS/MS in NEPC (H660) and adenocarcinoma (VCaP) cell lines. An average of 10,230 proteins were identified in both cell lines, with over 1,300 proteins significantly enriched in NEPC compared to VCaP. NCAM1, a clinical marker of NEPC, was among the significantly enriched proteins ( adjusted p =0.004; Log2FC=6.5), supporting the biological significance of our findings. Pathway analysis revealed enrichment in E2F, EMT, and p53 signaling pathways, consistent with established mechanisms of lineage plasticity. Next, we conducted a prospective pilot study using plasma from patients with pathologically confirmed NEPC or concurrent RB1/TP53 loss (n=21) and from patients with RB1/TP53wt prostate adenocarcinoma without evidence of histological transformation (n=20). To enhance the detection of low-abundance proteins, we applied sequential enrichment and elution (SEER) followed by Proteograph XT digestion and high-resolution mass spectrometry. Putative proteoforms were identified using data-independent acquisition-neural network (DIA-NN) processing. A total of 6,619 proteins were identified in both cohorts, 93 of which were significantly enriched in the NEPC samples, including NCAM1, validating the approach in plasma. In addition, potential new markers were detected such as methionine adenosyltransferase 2A (MAT2A) ( adjusted p =2.59E-09; Log2FC=2.8), a critical metabolic driver of androgen-independent cellular state. Neuronal-specific enolase (NSE/ENO2), a glycolytic enzyme associated with poor prognosis and tumor dedifferentiation in prostate cancer, was exclusively expressed in H660 cells and NEPC patient samples. Pathway analysis revealed co-enrichment of neuroendocrine and mitotic germ cell-associated programs, reflecting extensive phenotypic reprogramming that enhances metastatic capacity during lineage plasticity. These findings demonstrate the utility of blood proteomic profiling for the discovery of prognostic and predictive NEPC biomarkers. These markers may help elucidate molecular mechanisms underlying lineage plasticity. Furthermore, high-resolution plasma proteomics offers a promising approach to overcome the limitations of tissue biopsy, which is often restricted by high intra-tumoral heterogeneity and the lack of specificity of current pathological markers.
利益披露 Disclosure
T. Erazo, None..
E. S. Barnett, None..
A. Herskovits, None..
A. Valentino, None.