Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer
Abstract Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other d...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-01745-7 |
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| author | Weijie Sun Yanhong Xia Feifan Jin Jinghao Cao Gaoping Wu Keyi Li Yanhua Yu Yunyi Wu Gaoqi Ye Ke Xu Dengpan Liu Weidong Jin |
| author_facet | Weijie Sun Yanhong Xia Feifan Jin Jinghao Cao Gaoping Wu Keyi Li Yanhua Yu Yunyi Wu Gaoqi Ye Ke Xu Dengpan Liu Weidong Jin |
| author_sort | Weijie Sun |
| collection | DOAJ |
| description | Abstract Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other diseases. However, the correlation between fatty acid metabolism and the development and progression of GC remains largely unknown. Here, we profiled the genetic alterations of fatty acid anabolism-related genes (FARGs) in gastric cancer samples from the TCGA cohort and GEO database to evaluate the possible relationships and their internal regulatory mechanism. Through consistent clustering and functional enrichment analysis, three distinct fatty acid anabolism clusters and three gene subtypes were identified to participate in different biological pathways, and correlated with the characteristics of immune cell infiltration and clinical prognosis. Importantly, a distinctive FA-score was constructed through the principal component analysis to quantify the characteristics of fatty acid anabolism in each GC patient. Further analysis showed patients grouped in the high FA-score group were characterized with greater tumor mutational burden (TMB) and higher microsatellite stability (MSI-H), which may be more aeschynomenous to immunotherapy and had a favorable prognosis. Altogether, our bioinformatics analysis based on FARGs uncovered the potential roles of fatty acid metabolism in GC, and may provide newly prognostic information and novel approaches for promoting individualized immunotherapy in patients with GC. |
| format | Article |
| id | doaj-art-fed9821798fd48e4b1850b13b8f6ff79 |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-fed9821798fd48e4b1850b13b8f6ff792025-01-05T12:34:27ZengSpringerDiscover Oncology2730-60112025-01-0116111710.1007/s12672-025-01745-7Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancerWeijie Sun0Yanhong Xia1Feifan Jin2Jinghao Cao3Gaoping Wu4Keyi Li5Yanhua Yu6Yunyi Wu7Gaoqi Ye8Ke Xu9Dengpan Liu10Weidong Jin11Department of Clinical Laboratory, The First Affiliated Hospital of Ningbo UniversityProcurement Center, Hangzhou Children’s HospitalDepartment of Stomatology, Affiliated Hangzhou First People’s Hospital, School of Medicine, Westlake UniversityDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Adicon Clinical Laboratories, Inc.Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeDepartment of Clinical Laboratory, Zhejiang University Sir Run Run Shaw Alaer HospitalDepartment of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical CollegeAbstract Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other diseases. However, the correlation between fatty acid metabolism and the development and progression of GC remains largely unknown. Here, we profiled the genetic alterations of fatty acid anabolism-related genes (FARGs) in gastric cancer samples from the TCGA cohort and GEO database to evaluate the possible relationships and their internal regulatory mechanism. Through consistent clustering and functional enrichment analysis, three distinct fatty acid anabolism clusters and three gene subtypes were identified to participate in different biological pathways, and correlated with the characteristics of immune cell infiltration and clinical prognosis. Importantly, a distinctive FA-score was constructed through the principal component analysis to quantify the characteristics of fatty acid anabolism in each GC patient. Further analysis showed patients grouped in the high FA-score group were characterized with greater tumor mutational burden (TMB) and higher microsatellite stability (MSI-H), which may be more aeschynomenous to immunotherapy and had a favorable prognosis. Altogether, our bioinformatics analysis based on FARGs uncovered the potential roles of fatty acid metabolism in GC, and may provide newly prognostic information and novel approaches for promoting individualized immunotherapy in patients with GC.https://doi.org/10.1007/s12672-025-01745-7Gastric cancerFatty acid anabolismTumor microenvironmentImmunotherapyClinical prognosis |
| spellingShingle | Weijie Sun Yanhong Xia Feifan Jin Jinghao Cao Gaoping Wu Keyi Li Yanhua Yu Yunyi Wu Gaoqi Ye Ke Xu Dengpan Liu Weidong Jin Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer Discover Oncology Gastric cancer Fatty acid anabolism Tumor microenvironment Immunotherapy Clinical prognosis |
| title | Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| title_full | Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| title_fullStr | Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| title_full_unstemmed | Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| title_short | Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| title_sort | identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer |
| topic | Gastric cancer Fatty acid anabolism Tumor microenvironment Immunotherapy Clinical prognosis |
| url | https://doi.org/10.1007/s12672-025-01745-7 |
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