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基于 Gleason 分级对前列腺癌患者进行分层鉴定新型前列腺癌基因:抑癌基因的作用。

Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes.

机构信息

Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.

Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

出版信息

Int J Cancer. 2022 Jul 15;151(2):255-264. doi: 10.1002/ijc.33988. Epub 2022 Mar 18.

Abstract

Prostate cancer (PCa) is a tumor with a great heterogeneity, both at a molecular and clinical level. Despite its global good prognosis, cases can vary from indolent to lethal metastatic and scientific efforts are aimed to discern those with worse outcomes. Current prognostic markers, as Gleason score, fall short when it comes to distinguishing these cases. Identification of new early biomarkers to enable a better PCa distinction and classification remains a challenge. In order to identify new genes implicated in PCa progression we conducted several differential gene expression analyses over paired samples comparing primary PCa tissue against healthy prostatic tissue of PCa patients. The results obtained show that this approach is a serious alternative to overcome patient heterogeneity. We were able to identify 250 genes whose expression varies along with tissue differentiation-healthy to tumor tissue, 161 of these genes are described here for the first time to be related to PCa. The further manual curation of these genes allowed to annotate 39 genes with antitumoral activity, 22 of them described for the first time to be related to PCa proliferation and metastasis. These findings could be replicated in different cohorts for most genes. Results obtained considering paired differential expression, functional annotation and replication results point to: CGREF1, UNC5A, C16orf74, LGR6, IGSF1, QPRT and CA14 as possible new early markers in PCa. These genes may prevent the progression of the disease and their expression should be studied in patients with different outcomes.

摘要

前列腺癌(PCa)是一种具有高度异质性的肿瘤,无论是在分子水平还是临床水平上。尽管其全球预后良好,但病例的表现可以从惰性到致命的转移性不等,因此科学研究旨在区分这些病例。当前的预后标志物,如 Gleason 评分,在区分这些病例时存在不足。识别新的早期生物标志物以实现更好的 PCa 区分和分类仍然是一个挑战。为了鉴定与 PCa 进展相关的新基因,我们对来自 PCa 患者的配对原发性 PCa 组织和健康前列腺组织进行了多次差异基因表达分析。结果表明,这种方法是克服患者异质性的一种有效替代方法。我们鉴定出 250 个基因,这些基因的表达随着组织分化而变化——从健康组织到肿瘤组织,其中 161 个基因是首次被描述与 PCa 相关。对这些基因进行进一步的人工注释,鉴定出 39 个具有抗肿瘤活性的基因,其中 22 个基因是首次被描述与 PCa 的增殖和转移有关。这些发现可以在大多数基因的不同队列中得到复制。考虑到配对差异表达、功能注释和复制结果,结果表明:CGREF1、UNC5A、C16orf74、LGR6、IGSF1、QPRT 和 CA14 可能是 PCa 的新早期标志物。这些基因可能阻止疾病的进展,应该在具有不同结局的患者中研究它们的表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65d/9311191/7b176f951ecb/IJC-151-255-g003.jpg

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