Clinical risk prediction in lung adenocarcinoma using MAL gene and tumor microenvironment features
Abstract Background The tumor microenvironment (TME) plays a pivotal role in the progression and treatment response of lung adenocarcinoma (LUAD). This study established a TME-derived prognostic signature and investigated the role of MAL. Methods LUAD data from TCGA and GEO were utilized to identify...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2026-01-01
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| Серии: | Discover Oncology |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s12672-026-04448-9 |
| Метки: |
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