Characterization of Radiotherapy Sensitivity Genes by Comparative Gene Set Enrichment Analysis

Zhu, Min; Li, Xiaolai; Wang, Shujie; Guo, Wei; Li, Xueling

doi:10.1007/978-3-319-95933-7_25

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…However, patients have different response to RT even classified as the same clinic TNM stages. Some patients’ local cancer may be under control without progression and metastasis, but this may not be the case for other patients [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Association of the tissue infiltrated and peripheral blood immune cell subsets with response to radiotherapy for rectal cancer

Zhu

et al. 2022

BMC Med Genomics

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Background Tumor microenvironment plays pivotal roles in carcinogenesis, cancer development and metastasis. Composition of cancer immune cell subsets can be inferred by deconvolution of gene expression profile accurately. Compositions of the cell types in cancer microenvironment including cancer infiltrating immune and stromal cells have been reported to be associated with the cancer outcomes markers for cancer prognosis. However, rare studies have been reported on their association with the response to preoperative radiotherapy for rectal cancer. Methods In this paper, we deconvoluted the immune/stromal cell composition from the gene expression profiles. We compared the composition of immune/stromal cell types in the RT responsive versus nonresponsive for rectal cancer. We also compared the peripheral blood immune cell subset composition in the stable diseases versus progressive diseases of rectal cancer patients with fluorescence-activated cell sorting from our institution. Results Compared with the non-responsive group, the responsive group showed higher proportions of CD4+ T cell (0.1378 ± 0.0368 vs. 0.1071 ± 0.0373, p = 0.0215), adipocytes, T cells CD4 memory resting, and lower proportions of CD8+ T cell (0.1798 ± 0.0217 vs. 0.2104 ± 0.0415, p = 0.0239), macrophages M2, and preadipocytes in their cancer tissue. The responsive patients showed a higher ratio of CD4+/CD8+ T cell proportions (mean 0.7869 vs. 0.5564, p = 0.0210). Consistently, the peripheral blood dataset showed higher proportion of CD4+ T cells and higher ratio of CD4+/CD8+ T cells, and lower proportion of CD8+ T cells for favorable prognosis. We validated these results with a pooled dataset of GSE3493 and GSE35452, and more peripheral blood data, respectively. Finally, we imported these eight cell features including eosinophils and macrophage M1 to Support Vector Machines and could predict the pre-radiotherapy responsive versus non-responsive with an accuracy of 76%, ROC AUC 0.77, 95% confidential interval of 0.632–0.857, better than the gene signatures. Conclusions Our results showed that the proportions of tumor-infiltrating subsets and peripheral blood immune cell subsets can be important immune cell markers and treatment targets for outcomes of radiotherapy for rectal cancer.

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Section: Introductionmentioning

confidence: 99%

Association of the tissue infiltrated and peripheral blood immune cell subsets with response to radiotherapy for rectal cancer

Zhu

et al. 2022

BMC Med Genomics

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The Tumor Infiltrating Leukocyte Cell Composition Are Significant Markers for Prognostics of Radiotherapy of Rectal Cancer as Revealed by Cell Type Deconvolution

Zhu

et al. 2019

2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService)

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Characterization of Radiotherapy Sensitivity Genes by Comparative Gene Set Enrichment Analysis

Cited by 2 publications

References 25 publications

Association of the tissue infiltrated and peripheral blood immune cell subsets with response to radiotherapy for rectal cancer

Association of the tissue infiltrated and peripheral blood immune cell subsets with response to radiotherapy for rectal cancer

The Tumor Infiltrating Leukocyte Cell Composition Are Significant Markers for Prognostics of Radiotherapy of Rectal Cancer as Revealed by Cell Type Deconvolution

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