Microbiome typing in uveal melanoma is associated with plaque radiotherapy
Background: Microbiomes have been identified in various tumor types and could affect tumor progression and treatment. As the most prevalent primary malignant eye tumor in adults, uveal melanoma (UM) has not been explored regarding its endogenous microbiome. Plaque radiotherapy (PRT) is the gold stan...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Medicine in Microecology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590097823000046 |
| _version_ | 1827954198560374784 |
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| author | Yuning Chen Jingting Luo Haowen Li Rui Fang Ruiheng Zhang Yueming Liu Jingying Xiu Jie Xu Yang Li Wenbin Wei |
| author_facet | Yuning Chen Jingting Luo Haowen Li Rui Fang Ruiheng Zhang Yueming Liu Jingying Xiu Jie Xu Yang Li Wenbin Wei |
| author_sort | Yuning Chen |
| collection | DOAJ |
| description | Background: Microbiomes have been identified in various tumor types and could affect tumor progression and treatment. As the most prevalent primary malignant eye tumor in adults, uveal melanoma (UM) has not been explored regarding its endogenous microbiome. Plaque radiotherapy (PRT) is the gold standard for the treatment of UM. Hereby, we recruited 71 UM patients, sequenced the 16S rRNA gene of their tumor tissues, and analyzed the association between UM microbiome and disease phenotypes. Results: Clear bacterial signals were observed in UM tissues using fluorescence in situ hybridization. 450 bacterial species passed strict decontamination against 58 environmental control samples in 16S rRNA gene analysis, and these species formed three distinct types by unsupervised clustering. The UM microbiome types were significantly associated with PRT. A biomarker analysis showed that Pseudomonas was significantly enriched in the radiation group (RG) compared to the non-radiation group (NRG). A kind of radiation-resistant bacteria had a significantly higher positive rate in tumor tissues that underwent radiotherapy. We found that the radio-resistant bacteria Deinococcus was associated with smaller and earlier tumor stages, while Pseudomonas and Stenotrophomonas were associated with later metastasis. Conclusion: An endogenous microbiome might exist in UM tissues and was associated with UM features and treatment. Whether the tumor-residing microbiome has a role in UM development and metastasis is worth further investigation. |
| first_indexed | 2024-04-09T14:26:25Z |
| format | Article |
| id | doaj.art-b76967d030184dc9bc10052a68753ed7 |
| institution | Directory Open Access Journal |
| issn | 2590-0978 |
| language | English |
| last_indexed | 2024-04-09T14:26:25Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Medicine in Microecology |
| spelling | doaj.art-b76967d030184dc9bc10052a68753ed72023-05-04T04:13:04ZengElsevierMedicine in Microecology2590-09782023-06-0116100079Microbiome typing in uveal melanoma is associated with plaque radiotherapyYuning Chen0Jingting Luo1Haowen Li2Rui Fang3Ruiheng Zhang4Yueming Liu5Jingying Xiu6Jie Xu7Yang Li8Wenbin Wei9Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaCorresponding author.; Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaCorresponding author.; Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, PR ChinaBackground: Microbiomes have been identified in various tumor types and could affect tumor progression and treatment. As the most prevalent primary malignant eye tumor in adults, uveal melanoma (UM) has not been explored regarding its endogenous microbiome. Plaque radiotherapy (PRT) is the gold standard for the treatment of UM. Hereby, we recruited 71 UM patients, sequenced the 16S rRNA gene of their tumor tissues, and analyzed the association between UM microbiome and disease phenotypes. Results: Clear bacterial signals were observed in UM tissues using fluorescence in situ hybridization. 450 bacterial species passed strict decontamination against 58 environmental control samples in 16S rRNA gene analysis, and these species formed three distinct types by unsupervised clustering. The UM microbiome types were significantly associated with PRT. A biomarker analysis showed that Pseudomonas was significantly enriched in the radiation group (RG) compared to the non-radiation group (NRG). A kind of radiation-resistant bacteria had a significantly higher positive rate in tumor tissues that underwent radiotherapy. We found that the radio-resistant bacteria Deinococcus was associated with smaller and earlier tumor stages, while Pseudomonas and Stenotrophomonas were associated with later metastasis. Conclusion: An endogenous microbiome might exist in UM tissues and was associated with UM features and treatment. Whether the tumor-residing microbiome has a role in UM development and metastasis is worth further investigation.http://www.sciencedirect.com/science/article/pii/S2590097823000046Uveal melanomaMicrobiomePlaque radiotherapyClinical characteristic |
| spellingShingle | Yuning Chen Jingting Luo Haowen Li Rui Fang Ruiheng Zhang Yueming Liu Jingying Xiu Jie Xu Yang Li Wenbin Wei Microbiome typing in uveal melanoma is associated with plaque radiotherapy Medicine in Microecology Uveal melanoma Microbiome Plaque radiotherapy Clinical characteristic |
| title | Microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| title_full | Microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| title_fullStr | Microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| title_full_unstemmed | Microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| title_short | Microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| title_sort | microbiome typing in uveal melanoma is associated with plaque radiotherapy |
| topic | Uveal melanoma Microbiome Plaque radiotherapy Clinical characteristic |
| url | http://www.sciencedirect.com/science/article/pii/S2590097823000046 |
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