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Pan-cancer analysis identifies BIRC5 as a prognostic biomarker

BACKGROUND: The BIRC5 gene encodes for the Survivin protein, which is a member of the inhibitor of apoptosis family. Survivin is found in humans during fetal development, but generally not in adult cells thereafter. Previous studies have shown that Survivin is abundant in most cancer cells, thereby...

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Autores principales: Fäldt Beding, Anna, Larsson, Peter, Helou, Khalil, Einbeigi, Zakaria, Parris, Toshima Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953143/
https://www.ncbi.nlm.nih.gov/pubmed/35331169
http://dx.doi.org/10.1186/s12885-022-09371-0
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author Fäldt Beding, Anna
Larsson, Peter
Helou, Khalil
Einbeigi, Zakaria
Parris, Toshima Z.
author_facet Fäldt Beding, Anna
Larsson, Peter
Helou, Khalil
Einbeigi, Zakaria
Parris, Toshima Z.
author_sort Fäldt Beding, Anna
collection PubMed
description BACKGROUND: The BIRC5 gene encodes for the Survivin protein, which is a member of the inhibitor of apoptosis family. Survivin is found in humans during fetal development, but generally not in adult cells thereafter. Previous studies have shown that Survivin is abundant in most cancer cells, thereby making it a promising target for anti-cancer drugs and a potential prognostic tool. METHODS: To assess genetic alterations and mutations in the BIRC5 gene as well as BIRC5 co-expression with other genes, genomic and transcriptomic data were downloaded via cBioPortal for approximately 9000 samples from The Cancer Genome Atlas (TCGA) representing 33 different cancer types and 11 pan-cancer organ systems, and validated using the ICGC Data Portal and COSMIC. TCGA BIRC5 RNA sequencing data from 33 different cancer types and matching normal tissue samples for 16 cancer types were downloaded from Broad GDAC Firehose and validated using breast cancer microarray data from our previous work and data sets from the GENT2 web-based tool. Survival data were analyzed with multivariable Cox proportional hazards regression analysis and validated using KM plotter for breast-, ovarian-, lung- and gastric cancer. RESULTS: Although genetic alterations in BIRC5 were not common in cancer, BIRC5 expression was significantly higher in cancer tissue compared to normal tissue in the 16 different cancer types. For 14/33 cancer types, higher BIRC5 expression was linked to worse overall survival (OS, 4/14 after adjusting for both age and tumor grade and 10/14 after adjusting only for age). Interestingly, higher BIRC5 expression was associated with better OS in lung squamous cell carcinoma and ovarian serous cystadenocarcinoma. Higher BIRC5 expression was also linked to shorter progressive-free interval (PFI) for 14/33 cancer types (4/14 after adjusting for both age and tumor grade and 10/14 after adjusting only for age). External validation showed that high BIRC5 expression was significantly associated with worse OS for breast-, lung-, and gastric cancer. CONCLUSIONS: Our findings suggest that BIRC5 overexpression is associated with the initiation and progression of several cancer types, and thereby a promising prognostic biomarker. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09371-0.
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spelling pubmed-89531432022-03-26 Pan-cancer analysis identifies BIRC5 as a prognostic biomarker Fäldt Beding, Anna Larsson, Peter Helou, Khalil Einbeigi, Zakaria Parris, Toshima Z. BMC Cancer Research BACKGROUND: The BIRC5 gene encodes for the Survivin protein, which is a member of the inhibitor of apoptosis family. Survivin is found in humans during fetal development, but generally not in adult cells thereafter. Previous studies have shown that Survivin is abundant in most cancer cells, thereby making it a promising target for anti-cancer drugs and a potential prognostic tool. METHODS: To assess genetic alterations and mutations in the BIRC5 gene as well as BIRC5 co-expression with other genes, genomic and transcriptomic data were downloaded via cBioPortal for approximately 9000 samples from The Cancer Genome Atlas (TCGA) representing 33 different cancer types and 11 pan-cancer organ systems, and validated using the ICGC Data Portal and COSMIC. TCGA BIRC5 RNA sequencing data from 33 different cancer types and matching normal tissue samples for 16 cancer types were downloaded from Broad GDAC Firehose and validated using breast cancer microarray data from our previous work and data sets from the GENT2 web-based tool. Survival data were analyzed with multivariable Cox proportional hazards regression analysis and validated using KM plotter for breast-, ovarian-, lung- and gastric cancer. RESULTS: Although genetic alterations in BIRC5 were not common in cancer, BIRC5 expression was significantly higher in cancer tissue compared to normal tissue in the 16 different cancer types. For 14/33 cancer types, higher BIRC5 expression was linked to worse overall survival (OS, 4/14 after adjusting for both age and tumor grade and 10/14 after adjusting only for age). Interestingly, higher BIRC5 expression was associated with better OS in lung squamous cell carcinoma and ovarian serous cystadenocarcinoma. Higher BIRC5 expression was also linked to shorter progressive-free interval (PFI) for 14/33 cancer types (4/14 after adjusting for both age and tumor grade and 10/14 after adjusting only for age). External validation showed that high BIRC5 expression was significantly associated with worse OS for breast-, lung-, and gastric cancer. CONCLUSIONS: Our findings suggest that BIRC5 overexpression is associated with the initiation and progression of several cancer types, and thereby a promising prognostic biomarker. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09371-0. BioMed Central 2022-03-25 /pmc/articles/PMC8953143/ /pubmed/35331169 http://dx.doi.org/10.1186/s12885-022-09371-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fäldt Beding, Anna
Larsson, Peter
Helou, Khalil
Einbeigi, Zakaria
Parris, Toshima Z.
Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title_full Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title_fullStr Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title_full_unstemmed Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title_short Pan-cancer analysis identifies BIRC5 as a prognostic biomarker
title_sort pan-cancer analysis identifies birc5 as a prognostic biomarker
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953143/
https://www.ncbi.nlm.nih.gov/pubmed/35331169
http://dx.doi.org/10.1186/s12885-022-09371-0
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