Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer
Abstract Tryptophan metabolism is intricately associated with the progression of colon cancer. This research endeavored to meticulously analyze tryptophan metabolic characteristics in colon cancer and forecast immunotherapy responses. This study analyzed colon cancer samples from a training cohort o...
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Nature Portfolio
2025-04-01
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| author | Yanyan Hu Ximo Xu Hao Zhong Chengshen Ding Sen zhang Wei Qin Enkui Zhang Duohuo Shu Mengqin Yu Naijipu Abuduaini Xiao Yang Bo Feng Jianwen Li |
| author_facet | Yanyan Hu Ximo Xu Hao Zhong Chengshen Ding Sen zhang Wei Qin Enkui Zhang Duohuo Shu Mengqin Yu Naijipu Abuduaini Xiao Yang Bo Feng Jianwen Li |
| author_sort | Yanyan Hu |
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| description | Abstract Tryptophan metabolism is intricately associated with the progression of colon cancer. This research endeavored to meticulously analyze tryptophan metabolic characteristics in colon cancer and forecast immunotherapy responses. This study analyzed colon cancer samples from a training cohort of 473 tumors and 41 normal tissues from TCGA, with validation in 902 cancer patients across multiple GEO datasets. Patients were stratified into subtypes through consistent clustering, and a tryptophan metabolic risk score model was constructed using the random forest algorithm. Based on these risk scores, patients were delineated into high and low-risk groups, and their clinicopathologic characteristics, immune cell infiltration, immune checkpoint expression, and signaling pathway disparities were examined. The Oncopredict algorithm facilitated the identification of sensitive chemotherapeutic agents, while the immune escape score was employed to evaluate the immunotherapy response across risk groups. Transcriptomic sequencing findings were corroborated by single-cell sequencing from Shanghai Ruijin Hospital. Two distinct subtypes of colon cancer patients emerged, exhibiting significant prognostic and immune cell infiltration differences. The high-risk group demonstrated a poorer prognosis (p < 0.001), advanced clinical stage (p < 0.001), and elevated immunosuppressive cell expression (p < 0.05). Additionally, three chemotherapeutic drugs showed efficacy in the high-risk cohort, displaying a heightened immune escape potential (p < 0.05) and diminished response to immunotherapy. Single-cell sequencing validated the overexpression of tryptophan-related genes in epithelial cells. In conclusion, tryptophan metabolism significantly influences the colon cancer immune microenvironment, with high-risk patients experiencing adverse prognoses and potentially reduced efficacy of immunotherapy. |
| format | Article |
| id | doaj-art-38d7faf48e0b40ffbc8eb61ac9c9503a |
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| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-38d7faf48e0b40ffbc8eb61ac9c9503a2025-08-20T02:17:05ZengNature PortfolioScientific Reports2045-23222025-04-0115111410.1038/s41598-025-85893-4Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancerYanyan Hu0Ximo Xu1Hao Zhong2Chengshen Ding3Sen zhang4Wei Qin5Enkui Zhang6Duohuo Shu7Mengqin Yu8Naijipu Abuduaini9Xiao Yang10Bo Feng11Jianwen Li12Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineAbstract Tryptophan metabolism is intricately associated with the progression of colon cancer. This research endeavored to meticulously analyze tryptophan metabolic characteristics in colon cancer and forecast immunotherapy responses. This study analyzed colon cancer samples from a training cohort of 473 tumors and 41 normal tissues from TCGA, with validation in 902 cancer patients across multiple GEO datasets. Patients were stratified into subtypes through consistent clustering, and a tryptophan metabolic risk score model was constructed using the random forest algorithm. Based on these risk scores, patients were delineated into high and low-risk groups, and their clinicopathologic characteristics, immune cell infiltration, immune checkpoint expression, and signaling pathway disparities were examined. The Oncopredict algorithm facilitated the identification of sensitive chemotherapeutic agents, while the immune escape score was employed to evaluate the immunotherapy response across risk groups. Transcriptomic sequencing findings were corroborated by single-cell sequencing from Shanghai Ruijin Hospital. Two distinct subtypes of colon cancer patients emerged, exhibiting significant prognostic and immune cell infiltration differences. The high-risk group demonstrated a poorer prognosis (p < 0.001), advanced clinical stage (p < 0.001), and elevated immunosuppressive cell expression (p < 0.05). Additionally, three chemotherapeutic drugs showed efficacy in the high-risk cohort, displaying a heightened immune escape potential (p < 0.05) and diminished response to immunotherapy. Single-cell sequencing validated the overexpression of tryptophan-related genes in epithelial cells. In conclusion, tryptophan metabolism significantly influences the colon cancer immune microenvironment, with high-risk patients experiencing adverse prognoses and potentially reduced efficacy of immunotherapy.https://doi.org/10.1038/s41598-025-85893-4Colon cancerTryptophan metabolismRisk scorePrognosisImmunotherapy |
| spellingShingle | Yanyan Hu Ximo Xu Hao Zhong Chengshen Ding Sen zhang Wei Qin Enkui Zhang Duohuo Shu Mengqin Yu Naijipu Abuduaini Xiao Yang Bo Feng Jianwen Li Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer Scientific Reports Colon cancer Tryptophan metabolism Risk score Prognosis Immunotherapy |
| title | Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| title_full | Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| title_fullStr | Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| title_full_unstemmed | Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| title_short | Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| title_sort | integrated single cell and bulk rna sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer |
| topic | Colon cancer Tryptophan metabolism Risk score Prognosis Immunotherapy |
| url | https://doi.org/10.1038/s41598-025-85893-4 |
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