G-Protein-Coupled Receptor-Associated Sorting Protein 1 Overexpression Is Involved in the Progression of Benign Prostatic Hyperplasia, Early-Stage Prostatic Malignant Diseases, and Prostate Cancer.

IF 4.5 2区 医学 Q1 ONCOLOGY
Cancers Pub Date : 2024-10-30 DOI:10.3390/cancers16213659
Cesar Torres-Luna, Shuanzeng Wei, Sreenivas Bhattiprolu, George Tuszynski, Vicki L Rothman, Declan McNulty, Jeff Yang, Frank N Chang
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引用次数: 0

Abstract

Background/Objectives: Prostate cancer (PCa) is a prevalent malignancy, necessitating accurate diagnostic methods to distinguish it from benign conditions such as benign prostatic hyperplasia (BPH). Current diagnostic tools, relying primarily on serum prostate-specific antigen (PSA) levels, lack specificity, leading to an over-diagnosis and unnecessary treatment of patients with benign conditions. This study explores G-protein-coupled receptor-associated sorting protein 1 (GASP-1) as a more sensitive biomarker for PCa detection. Methods: Prostate tissue microarrays of healthy, BPH, and prostate cancer patients with different Gleason scores were studied. Polyclonal antibodies targeted against GASP-1 were used for routine immunohistochemistry (IHC) and enzyme-linked immunosorbent assay (ELISA) analyses. Results: The results indicated a 5-fold difference in serum GASP-1 levels between BPH and PCa, which was validated through GASP-1 IHC. Furthermore, a novel scoring system, the H-score, assesses GASP-1 granules' intensity and size, revealing a clear distinction between BPH and PCa. An additional analysis of GASP-1 expression between PCa cases with different Gleason scores reveals that GASP-1 overexpression correlates with PCa severity, providing insights into disease progression. Conclusions: The study supports GASP-1's role as a promising diagnostic marker, supplementing PSA testing, and offering improved risk stratification for PCa. Additionally, an open-source software system is introduced for an efficient GASP-1 granule color analysis, enhancing diagnostic accuracy.

G-蛋白偶联受体相关分拣蛋白 1 的过度表达与良性前列腺增生症、早期前列腺恶性疾病和前列腺癌的进展有关。
背景/目标:前列腺癌(PCa)是一种常见的恶性肿瘤,需要准确的诊断方法将其与良性前列腺增生(BPH)等良性疾病区分开来。目前的诊断工具主要依赖血清前列腺特异性抗原(PSA)水平,缺乏特异性,导致过度诊断和对良性患者进行不必要的治疗。本研究探索将 G 蛋白偶联受体相关分选蛋白 1(GASP-1)作为检测 PCa 的更灵敏的生物标志物。研究方法研究了健康、良性前列腺增生和不同格里森评分的前列腺癌患者的前列腺组织芯片。使用针对 GASP-1 的多克隆抗体进行常规免疫组织化学(IHC)和酶联免疫吸附试验(ELISA)分析。结果显示结果表明,良性前列腺增生症和 PCa 患者的血清 GASP-1 水平相差 5 倍,GASP-1 IHC 验证了这一点。此外,一种新的评分系统--H 评分--可评估 GASP-1 颗粒的强度和大小,从而明确区分良性前列腺增生症和 PCa。对不同 Gleason 评分的 PCa 病例之间的 GASP-1 表达进行的额外分析表明,GASP-1 的过表达与 PCa 的严重程度相关,这为了解疾病的进展提供了线索。结论:该研究支持将 GASP-1 作为一种有前途的诊断标记物,作为 PSA 检测的补充,并改善 PCa 的风险分层。此外,该研究还介绍了一种开源软件系统,可用于高效的 GASP-1 颗粒颜色分析,从而提高诊断的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancers
Cancers Medicine-Oncology
CiteScore
8.00
自引率
9.60%
发文量
5371
审稿时长
18.07 days
期刊介绍: Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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