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OGDHL 与肿瘤微环境密切相关,可作为甲状腺乳头状癌的预后生物标志物。

OGDHL closely associates with tumor microenvironment and can serve as a prognostic biomarker for papillary thyroid cancer.

机构信息

Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, The Guangxi Zhuang Autonomous Region, 530021, China.

Guangxi Medical University, Nanning, The Guangxi Zhuang Autonomous Region, 530021, China.

出版信息

Cancer Med. 2021 Jan;10(2):728-736. doi: 10.1002/cam4.3640. Epub 2021 Jan 6.

DOI:10.1002/cam4.3640
PMID:33405394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7877349/
Abstract

BACKGROUND

Papillary thyroid cancer (PTC) is the most common type of thyroid cancer. However, due to the lack of reliable prognostic biomarkers for PTC, overtreatment has been on the rise. Therefore, our research aims to identify new and promising prognostic biomarkers and provide fresh perspectives for clinical decision making.

METHODS

The RNA-seq data and clinical data of PTC samples were obtained from The Cancer Genome Atlas data portal. GSE64912 and GSE83520 datasets were downloaded through the GEOquery R package. The difference in the expression of oxoglutarate dehydrogenase like (OGDHL) between PTC and normal tissues was explored by the Wilcoxon test. Kaplan-Meier (KM) and Cox regression analyses were used to further explore the prognostic value of OGDHL. The tumor microenvironments of PTC patients were explored based on ssGSEA and Tumor Immune Estimation Resource online database. Gene Set Enrichment Analysis (GSEA) was performed to explore the biological processes associated with OGDHL.

RESULTS

The expression level of OGDHL in PTC was significantly altered compared to that in normal tissues (p < 0.05). Various biological processes associated with OGDHL were also explored through GSEA. KM analysis suggested that the low-OGDHL group had a better overall survival [OS, p = 3.49e-03, hazard ratio (HR) = 4.567]. The receiver operating characteristic curve also indicated the favorable prognostic potential of OGDHL. Moreover, OGDHL was proved to be an independent prognostic indicator in Cox analysis (p = 1.33e-02, HR = 0.152). In the analysis of the tumor microenvironment, the low-OGDHL group showed a lower immune score and stromal score, while tumor purity was higher. The expression of OGDHL was also closely correlated with the infiltration of immune cells.

CONCLUSION

Our study elucidated the influence of OGDHL on the prognosis of PTC and demonstrated its potential as a novel biomarker, which would provide new insights into the prognosis monitoring and clinical decision making in PTC patients.

摘要

背景

甲状腺癌(PTC)是最常见的甲状腺癌类型。然而,由于缺乏可靠的 PTC 预后生物标志物,过度治疗的情况一直在增加。因此,我们的研究旨在寻找新的有前途的预后生物标志物,并为临床决策提供新的视角。

方法

从癌症基因组图谱数据门户获得 PTC 样本的 RNA-seq 数据和临床数据。通过 GEOquery R 包下载 GSE64912 和 GSE83520 数据集。通过 Wilcoxon 检验探讨 PTC 与正常组织之间 OGDHL 的表达差异。使用 Kaplan-Meier(KM)和 Cox 回归分析进一步探讨 OGDHL 的预后价值。基于 ssGSEA 和肿瘤免疫估计资源在线数据库探讨 PTC 患者的肿瘤微环境。通过基因集富集分析(GSEA)探索与 OGDHL 相关的生物学过程。

结果

与正常组织相比,PTC 中 OGDHL 的表达水平显著改变(p<0.05)。通过 GSEA 还探索了与 OGDHL 相关的各种生物学过程。KM 分析表明,低 OGDHL 组的总生存率更好[OS,p=3.49e-03,风险比(HR)=4.567]。接受者操作特征曲线也表明 OGDHL 具有良好的预后潜力。此外,在 Cox 分析中,OGDHL 被证明是一个独立的预后指标(p=1.33e-02,HR=0.152)。在肿瘤微环境分析中,低 OGDHL 组的免疫评分和基质评分较低,而肿瘤纯度较高。OGDHL 的表达也与免疫细胞的浸润密切相关。

结论

本研究阐明了 OGDHL 对 PTC 预后的影响,并证明了其作为一种新的生物标志物的潜力,这将为 PTC 患者的预后监测和临床决策提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/dc8e2bb0b123/CAM4-10-728-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/e29f6b3b9d53/CAM4-10-728-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/3d37c7eee13d/CAM4-10-728-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/3d0eaffc397f/CAM4-10-728-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/69cd1676f486/CAM4-10-728-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/dc8e2bb0b123/CAM4-10-728-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/e29f6b3b9d53/CAM4-10-728-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/3d37c7eee13d/CAM4-10-728-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/3d0eaffc397f/CAM4-10-728-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/69cd1676f486/CAM4-10-728-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/7877349/dc8e2bb0b123/CAM4-10-728-g005.jpg

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