An Exploration of the Tumor Microenvironment Identified a Novel Five-Gene Model for Predicting Outcomes in Bladder Cancer.

An Exploration of the Tumor Microenvironment Identified a Novel Five-Gene Model for Predicting Outcomes in Bladder Cancer.
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对肿瘤微环境的探索确定了一种新的五基因模型来预测膀胱癌的结果

DOI:
10.3389/fonc.2021.642527
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发表时间:
2021
影响因子:
4.7
通讯作者:
Li X
Li X
中科院分区:
医学3区
文献类型:
--
作者:
Li X;Feng J;Sun Y;Li X

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膀胱癌(BC)是全球十大最常见的癌症类型之一,约占所有男性恶性肿瘤的7%。在过去的几十年中,癌症研究的重点是鉴定癌基因和肿瘤抑制因子。最近的研究表明,肿瘤细胞和肿瘤微环境(TME)之间的相互作用在癌症的发生和发展中发挥着重要作用。然而,目前关于其对 BC 的影响的知识很少。本研究旨在探讨TME如何影响BC的发展。我们专注于免疫和基质成分,它们代表了 TME 的主要成分。我们发现 TME 中免疫和基质成分的比例与 BC 的预后相关。此外,根据免疫和基质成分的评分,鉴定出811个与TME相关的差异表达基因。根据这些 TME 基因分为具有不同生物学特征的三个亚类。最后,确定了 5 个预后基因,并用于开发基于 TME 相关基因的 BC 患者预后预测模型。此外,我们使用三个独立队列验证了五基因模型的预后价值。通过进一步分析基于五基因特征的特征,发现低风险组具有更高的CD8+ T细胞、更高的肿瘤突变负荷和更高的化疗敏感性,从而呈现出更好的预后。总之,我们的探索全面分析了 TME,并确定了与 TME 相关的 BC 预后基因,为潜在的治疗靶点提供了新的见解。
Bladder cancer (BC) is one of the top ten most common cancer types globally, accounting for approximately 7% of all male malignancies. In the last few decades, cancer research has focused on identifying oncogenes and tumor suppressors. Recent studies have revealed that the interplay between tumor cells and the tumor microenvironment (TME) plays an important role in the initiation and development of cancer. However, the current knowledge regarding its effect on BC is scarce. This study aims to explore how the TME influences the development of BC. We focused on immune and stromal components, which represent the major components of TME. We found that the proportion of immune and stromal components within the TME was associated with the prognosis of BC. Furthermore, based on the scores of immune and stromal components, 811 TME-related differentially expressed genes were identified. Three subclasses with distinct biological features were divided based on these TME-genes. Finally, five prognostic genes were identified and used to develop a prognostic prediction model for BC patients based on TME-related genes. Additionally, we validated the prognostic value of the five-gene model using three independent cohorts. By further analyzing features based on the five-gene signature, higher CD8+ T cells, higher tumor mutational burden, and higher chemosensitivity were found in the low-risk group, which presented a better prognosis. In conclusion, our exploration comprehensively analyzed the TME and identified TME-related prognostic genes for BC, providing new insights into potential therapeutic targets.
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