Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes

Activated Cdc42-associated kinase 1 (ACK1), a kind of tyrosine kinase, is considered to be an oncogene in many cancers, and it is likely to become a potential target for cancer treatment. We found that the expression of the ACK1 gene in colon cancer was higher than that in normal tissues adjacent to...

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Autores principales: Kong, Defeng, Li, Guoliang, Yang, Zhenrong, Cheng, Shujun, Zhang, Wen, Feng, Lin, Zhang, Kaitai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772074/
https://www.ncbi.nlm.nih.gov/pubmed/35057760
http://dx.doi.org/10.1186/s12885-021-09165-w
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author Kong, Defeng
Li, Guoliang
Yang, Zhenrong
Cheng, Shujun
Zhang, Wen
Feng, Lin
Zhang, Kaitai
author_facet Kong, Defeng
Li, Guoliang
Yang, Zhenrong
Cheng, Shujun
Zhang, Wen
Feng, Lin
Zhang, Kaitai
author_sort Kong, Defeng
collection PubMed
description Activated Cdc42-associated kinase 1 (ACK1), a kind of tyrosine kinase, is considered to be an oncogene in many cancers, and it is likely to become a potential target for cancer treatment. We found that the expression of the ACK1 gene in colon cancer was higher than that in normal tissues adjacent to cancer, and high expression of the ACK1 gene was associated with poor prognosis of patients. We assessed the prognosis of colon cancer based on ACK1-related genes and constructed a model that can predict the prognosis of colon cancer patients in colon cancer data from The Cancer Genome Atlas (TCGA) database. We then explored the relationship between ACK1 and the immune microenvironment of colon cancer. The overexpression of ACK1 might hinder the function of antigen-presenting cells. The colon cancer prognosis prediction model we constructed has certain significance for clinicians to judge the prognosis of patients with colon cancer. The expression of the ACK1 gene might affect the infiltration level of a variety of immune cells and immunomodulators in the immune microenvironment.
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spelling pubmed-87720742022-01-20 Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes Kong, Defeng Li, Guoliang Yang, Zhenrong Cheng, Shujun Zhang, Wen Feng, Lin Zhang, Kaitai BMC Cancer Research Activated Cdc42-associated kinase 1 (ACK1), a kind of tyrosine kinase, is considered to be an oncogene in many cancers, and it is likely to become a potential target for cancer treatment. We found that the expression of the ACK1 gene in colon cancer was higher than that in normal tissues adjacent to cancer, and high expression of the ACK1 gene was associated with poor prognosis of patients. We assessed the prognosis of colon cancer based on ACK1-related genes and constructed a model that can predict the prognosis of colon cancer patients in colon cancer data from The Cancer Genome Atlas (TCGA) database. We then explored the relationship between ACK1 and the immune microenvironment of colon cancer. The overexpression of ACK1 might hinder the function of antigen-presenting cells. The colon cancer prognosis prediction model we constructed has certain significance for clinicians to judge the prognosis of patients with colon cancer. The expression of the ACK1 gene might affect the infiltration level of a variety of immune cells and immunomodulators in the immune microenvironment. BioMed Central 2022-01-20 /pmc/articles/PMC8772074/ /pubmed/35057760 http://dx.doi.org/10.1186/s12885-021-09165-w 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
Kong, Defeng
Li, Guoliang
Yang, Zhenrong
Cheng, Shujun
Zhang, Wen
Feng, Lin
Zhang, Kaitai
Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title_full Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title_fullStr Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title_full_unstemmed Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title_short Identification of an ACK1/TNK2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
title_sort identification of an ack1/tnk2-based prognostic signature for colon cancer to predict survival and inflammatory landscapes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772074/
https://www.ncbi.nlm.nih.gov/pubmed/35057760
http://dx.doi.org/10.1186/s12885-021-09165-w
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