Identification of adipocyte infiltration-related gene subtypes for predicting colorectal cancer prognosis and responses of immunotherapy/chemotherapy
Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for...
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| Published in | Heliyon Vol. 10; no. 13; p. e33616 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
15.07.2024
Elsevier |
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| Abstract | Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for identifying adipocyte subtypes in CRC in order to elucidate the impact of adipocyte infiltration on CRC treatment and prognosis. Herein, 144 adipocyte-infiltration-related genes (AIRGs) were identified as predictive markers for the immune-associated features and prognosis of CRC patients. Based on the 144 genes, the unsupervised clustering algorithm identified two distinct clusters of CRC patients with variations in molecular and signaling pathways, clinicopathological characteristics and responses to CRC chemotherapy and immunotherapy. Furthermore, an AIRG prognostic signature was constructed and validated in independent datasets. Overall, this study developed a prognostic signature based on AIRGs in CRC, which may contribute to the development of personalized treatment strategies and enhance prognostic prediction for CRC patients. |
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| AbstractList | Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for identifying adipocyte subtypes in CRC in order to elucidate the impact of adipocyte infiltration on CRC treatment and prognosis. Herein, 144 adipocyte-infiltration-related genes (AIRGs) were identified as predictive markers for the immune-associated features and prognosis of CRC patients. Based on the 144 genes, the unsupervised clustering algorithm identified two distinct clusters of CRC patients with variations in molecular and signaling pathways, clinicopathological characteristics and responses to CRC chemotherapy and immunotherapy. Furthermore, an AIRG prognostic signature was constructed and validated in independent datasets. Overall, this study developed a prognostic signature based on AIRGs in CRC, which may contribute to the development of personalized treatment strategies and enhance prognostic prediction for CRC patients. Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for identifying adipocyte subtypes in CRC in order to elucidate the impact of adipocyte infiltration on CRC treatment and prognosis. Herein, 144 adipocyte-infiltration-related genes (AIRGs) were identified as predictive markers for the immune-associated features and prognosis of CRC patients. Based on the 144 genes, the unsupervised clustering algorithm identified two distinct clusters of CRC patients with variations in molecular and signaling pathways, clinicopathological characteristics and responses to CRC chemotherapy and immunotherapy. Furthermore, an AIRG prognostic signature was constructed and validated in independent datasets. Overall, this study developed a prognostic signature based on AIRGs in CRC, which may contribute to the development of personalized treatment strategies and enhance prognostic prediction for CRC patients.Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for identifying adipocyte subtypes in CRC in order to elucidate the impact of adipocyte infiltration on CRC treatment and prognosis. Herein, 144 adipocyte-infiltration-related genes (AIRGs) were identified as predictive markers for the immune-associated features and prognosis of CRC patients. Based on the 144 genes, the unsupervised clustering algorithm identified two distinct clusters of CRC patients with variations in molecular and signaling pathways, clinicopathological characteristics and responses to CRC chemotherapy and immunotherapy. Furthermore, an AIRG prognostic signature was constructed and validated in independent datasets. Overall, this study developed a prognostic signature based on AIRGs in CRC, which may contribute to the development of personalized treatment strategies and enhance prognostic prediction for CRC patients. |
| ArticleNumber | e33616 |
| Author | Chang, Bingcheng Tan, Yuyan Tan, Lulu Zhang, Tianhao Liu, Jia Chen, Xiangdong Fu, Daan Zhang, Qingqing |
| Author_xml | – sequence: 1 givenname: Daan surname: Fu fullname: Fu, Daan organization: Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China – sequence: 2 givenname: Tianhao surname: Zhang fullname: Zhang, Tianhao organization: Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China – sequence: 3 givenname: Jia surname: Liu fullname: Liu, Jia organization: Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China – sequence: 4 givenname: Bingcheng surname: Chang fullname: Chang, Bingcheng organization: The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550003, China – sequence: 5 givenname: Qingqing surname: Zhang fullname: Zhang, Qingqing organization: Haiyan County Hospital of Traditional Chinese Medicine, JiaXing, 314399, China – sequence: 6 givenname: Yuyan surname: Tan fullname: Tan, Yuyan email: tyytyz@sina.com organization: Department of Breast and Thyroid Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, 443000, China – sequence: 7 givenname: Xiangdong surname: Chen fullname: Chen, Xiangdong email: xdchen@hust.edu.cn organization: Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China – sequence: 8 givenname: Lulu surname: Tan fullname: Tan, Lulu email: tanll94@163.com organization: Department of Breast and Thyroid Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, 443000, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39050460$$D View this record in MEDLINE/PubMed |
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| Keywords | Adipocyte infiltration Prognosis Immune-associated features Colorectal cancer Unsupervised clustering |
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| Title | Identification of adipocyte infiltration-related gene subtypes for predicting colorectal cancer prognosis and responses of immunotherapy/chemotherapy |
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