Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer
BackgroundFemale breast cancer (BC) has become the most common cancer in the world, and its mortality was considerably higher in transitioning vs. transitioned countries. Pyroptosis, an inflammation-dependent programmed cell death mediated by inflammasomes, has been observed in human colorectal tumo...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-02-01
|
| Series: | Frontiers in Surgery |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fsurg.2022.788437/full |
| _version_ | 1818683137615462400 |
|---|---|
| author | Tong Ren Xuhui Guo Jingyang Zhang Zhenzhen Liu |
| author_facet | Tong Ren Xuhui Guo Jingyang Zhang Zhenzhen Liu |
| author_sort | Tong Ren |
| collection | DOAJ |
| description | BackgroundFemale breast cancer (BC) has become the most common cancer in the world, and its mortality was considerably higher in transitioning vs. transitioned countries. Pyroptosis, an inflammation-dependent programmed cell death mediated by inflammasomes, has been observed in human colorectal tumors and gliomas. However, the characteristics of pyrolysis-related genes and their influence and mechanism on the tumorigenesis and progress of BC were unknown.MethodsBased on the global public database, we used comprehensive bioinformatics analysis to systematically analyze the expression of pyroptosis-related genes in BC and their relationship in tumor progression. In addition, BC patients were divided into two groups, and the clinical features and outcomes could be better predicted by the consistent clustering of pyroptosis-related genes. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was used to establish a risk score. Then, we further explored the prognostic value and clinical features of pyroptosis genes. Finally, we used the Human Protein Atlas (HPA) platform to identify the expression at protein levels of the key genes.ResultsWe confirmed that the expression of pyroptosis-related genes was different in BC and normal breast tissues. A high frequency of somatic mutations occurred in BC. In addition, 33 pyroptosis-related proteins interacted frequently. Based on univariate analysis and the LASSO Cox model, five pyroptosis-related genes [including GADMA, interleukin-6 (IL-6), NLR pyrin domain-containing protein 6 (NLRP6), caspase-1 (CASP1), and caspase-9 (CASP9)], were obtained to calculate a risk score. The risk score was identified as an independent risk factor for the prognosis of BC and might play an auxiliary role in clinical classification. The HPA platform confirmed that the expression trends of the key genes were consistent with our previous studies.ConclusionPyroptosis had an important effect on the progression of BC. And the pyroptosis-related genes could be used as new prognostic biomarkers and therapeutic targets for BC. |
| first_indexed | 2024-12-17T10:29:58Z |
| format | Article |
| id | doaj.art-3281173e36d44504a44eaee72e4bddd3 |
| institution | Directory Open Access Journal |
| issn | 2296-875X |
| language | English |
| last_indexed | 2024-12-17T10:29:58Z |
| publishDate | 2022-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Surgery |
| spelling | doaj.art-3281173e36d44504a44eaee72e4bddd32022-12-21T21:52:32ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2022-02-01910.3389/fsurg.2022.788437788437Pyroptosis-Related Signatures for Predicting Prognosis in Breast CancerTong RenXuhui GuoJingyang ZhangZhenzhen LiuBackgroundFemale breast cancer (BC) has become the most common cancer in the world, and its mortality was considerably higher in transitioning vs. transitioned countries. Pyroptosis, an inflammation-dependent programmed cell death mediated by inflammasomes, has been observed in human colorectal tumors and gliomas. However, the characteristics of pyrolysis-related genes and their influence and mechanism on the tumorigenesis and progress of BC were unknown.MethodsBased on the global public database, we used comprehensive bioinformatics analysis to systematically analyze the expression of pyroptosis-related genes in BC and their relationship in tumor progression. In addition, BC patients were divided into two groups, and the clinical features and outcomes could be better predicted by the consistent clustering of pyroptosis-related genes. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was used to establish a risk score. Then, we further explored the prognostic value and clinical features of pyroptosis genes. Finally, we used the Human Protein Atlas (HPA) platform to identify the expression at protein levels of the key genes.ResultsWe confirmed that the expression of pyroptosis-related genes was different in BC and normal breast tissues. A high frequency of somatic mutations occurred in BC. In addition, 33 pyroptosis-related proteins interacted frequently. Based on univariate analysis and the LASSO Cox model, five pyroptosis-related genes [including GADMA, interleukin-6 (IL-6), NLR pyrin domain-containing protein 6 (NLRP6), caspase-1 (CASP1), and caspase-9 (CASP9)], were obtained to calculate a risk score. The risk score was identified as an independent risk factor for the prognosis of BC and might play an auxiliary role in clinical classification. The HPA platform confirmed that the expression trends of the key genes were consistent with our previous studies.ConclusionPyroptosis had an important effect on the progression of BC. And the pyroptosis-related genes could be used as new prognostic biomarkers and therapeutic targets for BC.https://www.frontiersin.org/articles/10.3389/fsurg.2022.788437/fullbreast cancerwomen in oncologysurgical oncologypyroptosisLASSO Cox analysis |
| spellingShingle | Tong Ren Xuhui Guo Jingyang Zhang Zhenzhen Liu Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer Frontiers in Surgery breast cancer women in oncology surgical oncology pyroptosis LASSO Cox analysis |
| title | Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer |
| title_full | Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer |
| title_fullStr | Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer |
| title_full_unstemmed | Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer |
| title_short | Pyroptosis-Related Signatures for Predicting Prognosis in Breast Cancer |
| title_sort | pyroptosis related signatures for predicting prognosis in breast cancer |
| topic | breast cancer women in oncology surgical oncology pyroptosis LASSO Cox analysis |
| url | https://www.frontiersin.org/articles/10.3389/fsurg.2022.788437/full |
| work_keys_str_mv | AT tongren pyroptosisrelatedsignaturesforpredictingprognosisinbreastcancer AT xuhuiguo pyroptosisrelatedsignaturesforpredictingprognosisinbreastcancer AT jingyangzhang pyroptosisrelatedsignaturesforpredictingprognosisinbreastcancer AT zhenzhenliu pyroptosisrelatedsignaturesforpredictingprognosisinbreastcancer |