鉴定与病理肿瘤分期相关的生物标志物及其在前列腺癌诊断和预后中的应用。

Shiquan Xu, He Shi, Yiran Liu, Jing Lin, Xia Wu, Ruichun Lu, Yu Fan, Weiqiang Tan
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引用次数: 0

摘要

目的:肿瘤病理(pT)分期在前列腺癌(PCa)诊断中起着至关重要的作用。本研究旨在确定与 pT 分期相关的生物标志物,并探讨它们在 PCa 预后中的作用:方法:使用 GSE69223 来识别在 pT 分期 2 级(pT2)和 pT 分期 3 级(pT3)之间表达不同的潜在靶标。对 PCa 患者的组织进行定量反转录聚合酶链反应和免疫组化,以筛选 pT 分期相关靶点,并探讨这些靶点在 PCa 中的预后价值:结果发现:与pT2分期相比,CENPI和SLC38A11在pT3肿瘤中明显上调,而ANO6和KANK2则主要下降。ANO6水平与术前前列腺特异性抗原(PSA)水平、淋巴结分期(N分期)、Gleason评分和总生存率(OS)呈负相关;CENPI与术前PSA水平、N分期和OS呈正相关,但与Gleason评分无关;SLC38A11和KANK2与OS无关。ANO6和KANK2与中性粒细胞标志物相关,而CENPI与巨噬细胞M2类型相关:我们发现了与 pT 分期相关的 4 个可靠的 PCa 生物标志物,它们对诊断和确定 PCa 预后很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of biomarkers associated with pathological tumor staging and their utility in the diagnosis and prognosis of prostate cancer.

Objective: Pathological tumor (pT) staging plays a crucial role in prostate cancer (PCa) diagnosis. This study aimed to identify pT stage-associated biomarkers and explored their utility in PCa prognosis.

Methods: GSE69223 was used to identify potential targets differentially expressed between level 2 of pT staging (pT2) and level 3 of pT staging (pT3). Quantitative reverse transcriptase-polymerase chain reaction and immunohistochemistry were performed on tissues from patients with PCa to screen the pT stage-associated targets and to explore the prognostic value of these targets in PCa.

Results: CENPI and SLC38A11 were most significantly upregulated, whereas ANO6 and KANK2 were mostly decreased in pT3 tumors compared with pT2 staging. ANO6 levels were negatively associated with preoperative prostate-specific antigen (PSA) levels, lymph node staging (N staging), Gleason score, and overall survival (OS); CENPI was positively associated with preoperative PSA levels, N staging, and OS, but was not associated with the Gleason score; SLC38A11 and KANK2 were not associated with OS. ANO6 and KANK2 were correlated with neutrophil markers, whereas CENPI was correlated with macrophage M2 types.

Conclusion: We identified 4 reliable PCa biomarkers associated with pT staging that would be valuable for diagnosing and determining PCa prognosis.

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