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Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation

The immunotherapy efficacy on pancreatic cancer remains unsatisfactory. Therefore, it is still necessary to further clarify the pancreatic immune cell infiltration and search for immune-related prognostic indicators. We analyzed the 135 pancreatic cancer patients’ data retrieved from the TCGA databa...

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Autores principales: Xu, Pan-ling, Cheng, Chien-shan, Wang, Ting, Dong, Shu, Li, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912589/
https://www.ncbi.nlm.nih.gov/pubmed/36765322
http://dx.doi.org/10.1186/s12885-023-10597-9
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author Xu, Pan-ling
Cheng, Chien-shan
Wang, Ting
Dong, Shu
Li, Ping
author_facet Xu, Pan-ling
Cheng, Chien-shan
Wang, Ting
Dong, Shu
Li, Ping
author_sort Xu, Pan-ling
collection PubMed
description The immunotherapy efficacy on pancreatic cancer remains unsatisfactory. Therefore, it is still necessary to further clarify the pancreatic immune cell infiltration and search for immune-related prognostic indicators. We analyzed the 135 pancreatic cancer patients’ data retrieved from the TCGA database for the immune cell infiltration, tumor microenvironment score and the correlation of the immune cells, followed by identification of prognostic immune clusters and genes clusters. The R language was used for the immune score calculation, and immune cells proportion related survival differences identification. The function of immune cells was verified through datasets in the GEO database and in vivo experiments. The results showed that M0 Macrophages had negative relations to CD8 + T cells and immune scores. There were differences in median survival in ICI clusters, gene clusters, and immune score groups (p < 0.05). M0 macrophages accounted for more than 9.8%, indicating a poor prognosis, while T cells accounted for more than 9.2%, indicating a good prognosis. In vivo results showed that M0 macrophages promote pancreatic cancer growth. Elimination of M0 macrophages may be a hopeful strategy against pancreatic cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10597-9.
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spelling pubmed-99125892023-02-11 Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation Xu, Pan-ling Cheng, Chien-shan Wang, Ting Dong, Shu Li, Ping BMC Cancer Research The immunotherapy efficacy on pancreatic cancer remains unsatisfactory. Therefore, it is still necessary to further clarify the pancreatic immune cell infiltration and search for immune-related prognostic indicators. We analyzed the 135 pancreatic cancer patients’ data retrieved from the TCGA database for the immune cell infiltration, tumor microenvironment score and the correlation of the immune cells, followed by identification of prognostic immune clusters and genes clusters. The R language was used for the immune score calculation, and immune cells proportion related survival differences identification. The function of immune cells was verified through datasets in the GEO database and in vivo experiments. The results showed that M0 Macrophages had negative relations to CD8 + T cells and immune scores. There were differences in median survival in ICI clusters, gene clusters, and immune score groups (p < 0.05). M0 macrophages accounted for more than 9.8%, indicating a poor prognosis, while T cells accounted for more than 9.2%, indicating a good prognosis. In vivo results showed that M0 macrophages promote pancreatic cancer growth. Elimination of M0 macrophages may be a hopeful strategy against pancreatic cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10597-9. BioMed Central 2023-02-10 /pmc/articles/PMC9912589/ /pubmed/36765322 http://dx.doi.org/10.1186/s12885-023-10597-9 Text en © The Author(s) 2023 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
Xu, Pan-ling
Cheng, Chien-shan
Wang, Ting
Dong, Shu
Li, Ping
Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title_full Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title_fullStr Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title_full_unstemmed Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title_short Immune landscape and prognostic index for pancreatic cancer based on TCGA database and in vivo validation
title_sort immune landscape and prognostic index for pancreatic cancer based on tcga database and in vivo validation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912589/
https://www.ncbi.nlm.nih.gov/pubmed/36765322
http://dx.doi.org/10.1186/s12885-023-10597-9
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