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pmid:34777466

Identification of Immune-Related Risk Characteristics and Prognostic Value of Immunophenotyping in TNBC.

Jiarong Yi · Zeyu Shuang · Wenjing Zhong · Haoming Wu · Jikun Feng · Xiazi Zouxu · Xinjian Huang · Siqi Li · Xi Wang

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.730442

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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pmid:34777466
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title
Identification of Immune-Related Risk Characteristics and Prognostic Value of Immunophenotyping in TNBC.
doi
10.3389/fgene.2021.730442
pmid
34777466
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[0]
Jiarong Yi
[1]
Zeyu Shuang
[2]
Wenjing Zhong
[3]
Haoming Wu
[4]
Jikun Feng
[5]
Xiazi Zouxu
[6]
Xinjian Huang
[7]
Siqi Li
[8]
Xi Wang
journal
Frontiers in genetics
year
2021
abstract
Background: Triple-negative breast cancer (TNBC) is not sensitive to targeted therapy with HER-2 monoclonal antibody and endocrine therapy due to lack of ER, PR, and HER-2 receptors. TNBC is a breast cancer subtype with the worst prognosis and the highest mortality rate compared with other subtypes. Materials and Methods: Breast cancer-related data were retrieved from The Cancer Genome Atlas (TCGA) database, and 116 cases of triple-negative breast cancer were identified from the data. GSE31519 dataset was retrieved from Gene Expression Omnibus (GEO) database, comprising a total of 68 cases with TNBC. Survival analysis was performed based on immune score, infiltration score and mutation score to explore differences in prognosis of different immune types. Analysis of differentially expressed genes was conducted and GSEA analysis based on these genes was conducted to explore the potential mechanism. Results: The findings showed that comprehensive immune typing is highly effective and accurate in assessing prognosis of TNBC patients. Analysis showed that MMP9, CXCL9, CXCL10, CXCL11 and CD7 are key genes that may affect immune typing of TNBC patients and play an important role in prediction of prognosis in TNBC patients. Conclusion: The current study presents an evaluation system based on immunophenotyping, which provides a more accurate prognostic evaluation tool for TNBC patients. Differentially expressed genes can be targeted to improve treatment of TNBC.
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The findings showed that comprehensive immune typing is highly effective and accurate in assessing prognosis of TNBC patients.
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A Clinically Relevant Gene Signature in Triple-Negative and Basal-Like Breast Cancer
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TNBC is a breast cancer subtype with the worst prognosis and the highest mortality rate compared with other subtypes. Materials and Methods: Breast cancer-related data were retrieved from The Cancer Genome Atlas (TCGA) database, and 116 cases of triple-negative breast cancer were identified from the data. GSE31519 dataset was retrieved from Gene Expression Omnibus (GEO) database, comprising a total of 68 cases with TNBC. Survival analysis was performed based on immune score, infiltration score and mutation score to explore differences in prognosis of different immune types. Analysis of differentially expressed genes was conducted and GSEA analysis based on these genes was conducted to explore the potential mechanism. Results: The findings showed that comprehensive immune typing is highly effective and accurate in assessing prognosis of TNBC patients. Analysis showed that MMP9, CXCL9, CXCL10, CXCL11 and CD7 are key genes that may affect immune typing of TNBC patients and play an important role in prediction of prognosis in TNBC patients. Conclusion: The current study presents an evaluation system based on immunophenotyping, which provides a more accurate prognostic evaluation tool for TNBC patients. 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