Gene Expression Subtyping Reveals Immune alterations:TCGA Database for Prognosis in Ovarian Serous Cystadenocarcinoma

Chunxia Feng; Chunxia Feng; Yan Xu; Yan Xu; Yuanyuan Liu; Lixia Zhu; Le Wang; Xixi Cui; Jingjing Lu; Yan Zhang; Lina Zhou; Minbin Chen; Zhiqin Zhang; Ping Li

doi:10.3389/fmolb.2021.619027

Frontiers in Molecular Biosciences (Sep 2021)

Gene Expression Subtyping Reveals Immune alterations:TCGA Database for Prognosis in Ovarian Serous Cystadenocarcinoma

Chunxia Feng,
Chunxia Feng,
Yan Xu,
Yan Xu,
Yuanyuan Liu,
Lixia Zhu,
Le Wang,
Xixi Cui,
Jingjing Lu,
Yan Zhang,
Lina Zhou,
Minbin Chen,
Zhiqin Zhang,
Ping Li

Affiliations

Chunxia Feng: Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
Chunxia Feng: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Yan Xu: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Yan Xu: Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China
Yuanyuan Liu: Clinical Research and Lab Center, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Lixia Zhu: Department of Gynecology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Le Wang: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Xixi Cui: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Jingjing Lu: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Yan Zhang: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Lina Zhou: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Minbin Chen: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Zhiqin Zhang: Department of Biobank, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
Ping Li: Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China

DOI: https://doi.org/10.3389/fmolb.2021.619027
Journal volume & issue: Vol. 8

Abstract

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Serous ovarian cancer is the most common and primary death type in ovarian cancer. In recent studies, tumor microenvironment and tumor immune infiltration significantly affect the prognosis of ovarian cancer. This study analyzed the four gene expression types of ovarian cancer in TCGA database to extract differentially expressed genes and verify the prognostic significance. Meanwhile, functional enrichment and protein interaction network analysis exposed that these genes were related to immune response and immune infiltration. Subsequently, we proved these prognostic genes in an independent data set from the GEO database. Finally, multivariate cox regression analysis revealed the prognostic significance of TAP1 and CXCL13. The genetic alteration and interaction network of these two genes were shown. Then, we established a nomogram model related to the two genes and clinical risk factors. This model performed well in Calibration plot and Decision Curve Analysis. In conclusion, we have obtained a list of genes related to the immune microenvironment with a better prognosis for serous ovarian cancer, and based on this, we have tried to establish a clinical prognosis model.

Published in Frontiers in Molecular Biosciences

ISSN: 2296-889X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Biology (General)
Website: https://www.frontiersin.org/journals/molecular-biosciences

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