| Accession |
PRJCA036248 |
| Title |
Microbiota and metabolomic pro ling coupled with machine learning to identify biomarkers and drug targets in nasopharyngeal carcinoma |
| Relevance |
Medical |
| Data types |
Metagenome
|
| Organisms |
Homo sapiens
|
| Description |
Nasopharyngeal carcinoma is a prevalent malignancy in certain regions, with radiotherapy as the standard treatment. However, resistance to radiotherapy remains a critical challenge, necessitating the identication of novel biomarkers and therapeutic targets. The tumor-associated microbiota and metabolites have emerged as potential modulators of radiotherapy outcomes. |
| Sample scope |
Monoisolate |
| Release date |
2025-02-17 |
| Publication |
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| No funding support
|
|
|
|
|
|
| Submitter |
Chongwen
Xu (henao22@xjtu.edu.cn)
|
| Organization |
The First Affiliated Hospital of Xi'an Jiaotong University |
| Submission date |
2025-02-17 |
