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Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer
BACKGROUND: Tumor-infiltrating immune cells are instrumental in the spread, resurgence, metastasis, and immunotherapy responsiveness of endometrial cancer (EC), which is a prevalent, malignant gynecologic tumor with a dismal prognosis. Many questions remain about the safety and effectiveness of immu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011277/ https://www.ncbi.nlm.nih.gov/pubmed/35433941 http://dx.doi.org/10.21037/atm-22-301 |
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author | Liu, Cong Zhang, Yan Hang, Chen |
author_facet | Liu, Cong Zhang, Yan Hang, Chen |
author_sort | Liu, Cong |
collection | PubMed |
description | BACKGROUND: Tumor-infiltrating immune cells are instrumental in the spread, resurgence, metastasis, and immunotherapy responsiveness of endometrial cancer (EC), which is a prevalent, malignant gynecologic tumor with a dismal prognosis. Many questions remain about the safety and effectiveness of immunotherapy, so we investigated both the patients’ immunological condition and the molecular subtypes of EC. METHODS: Relevant data sets were collected from the The Cancer Genome Atlas (TCGA), and the CIBERSORT and ESTIMATE methods were used to assess the immune microenvironment and immune cell infiltration (ICI) in uterine corpus EC (UCEC) tumors. Using the immunophenoscore (IPS), the differentially expressed genes between low and high IPS were identified, and the immune gene subtypes of UCEC were further explored. Based on the main effect genes among the immune molecular subtypes, a tumor ICI scoring model was constructed. RESULTS: There was individual heterogeneity in the characteristics of ICI in the tumor samples, and these characteristics were associated with overall survival (OS). The IPS was quantified by the pattern of gene differential expression, and five immune molecular subtypes were constructed. The levels of PD1/PD-L1 expression in these subtypes showed significant differences, and there were also differences in gene mutation profiles between low- and high-ICI scores. CONCLUSIONS: The ICI score of UCEC samples can be used to predict the benefit of immunotherapy. |
format | Online Article Text |
id | pubmed-9011277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-90112772022-04-16 Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer Liu, Cong Zhang, Yan Hang, Chen Ann Transl Med Original Article BACKGROUND: Tumor-infiltrating immune cells are instrumental in the spread, resurgence, metastasis, and immunotherapy responsiveness of endometrial cancer (EC), which is a prevalent, malignant gynecologic tumor with a dismal prognosis. Many questions remain about the safety and effectiveness of immunotherapy, so we investigated both the patients’ immunological condition and the molecular subtypes of EC. METHODS: Relevant data sets were collected from the The Cancer Genome Atlas (TCGA), and the CIBERSORT and ESTIMATE methods were used to assess the immune microenvironment and immune cell infiltration (ICI) in uterine corpus EC (UCEC) tumors. Using the immunophenoscore (IPS), the differentially expressed genes between low and high IPS were identified, and the immune gene subtypes of UCEC were further explored. Based on the main effect genes among the immune molecular subtypes, a tumor ICI scoring model was constructed. RESULTS: There was individual heterogeneity in the characteristics of ICI in the tumor samples, and these characteristics were associated with overall survival (OS). The IPS was quantified by the pattern of gene differential expression, and five immune molecular subtypes were constructed. The levels of PD1/PD-L1 expression in these subtypes showed significant differences, and there were also differences in gene mutation profiles between low- and high-ICI scores. CONCLUSIONS: The ICI score of UCEC samples can be used to predict the benefit of immunotherapy. AME Publishing Company 2022-03 /pmc/articles/PMC9011277/ /pubmed/35433941 http://dx.doi.org/10.21037/atm-22-301 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Liu, Cong Zhang, Yan Hang, Chen Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title | Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title_full | Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title_fullStr | Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title_full_unstemmed | Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title_short | Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
title_sort | identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011277/ https://www.ncbi.nlm.nih.gov/pubmed/35433941 http://dx.doi.org/10.21037/atm-22-301 |
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