Development and validation of a nomogram model based on blood-based genomic mutation signature for predicting the risk of brain metastases in non-small cell lung cancer
The nomogram has practicality and efficacy in predicting the high risk of BM in lung cancer patients, confirming that single nucleotide polymorphisms in the mTORC1 pathway genes may be good predictors in clinical prediction models.
Authors
- Sufang Chen (ORCID: https://orcid.org/0000-0003-3920-7618)
- Shuyao Pan
- Qiongyao Zhang (ORCID: https://orcid.org/0000-0003-0100-0099)
- Siqiang Liu (ORCID: https://orcid.org/0000-0002-7561-7908)
- Lina Chen (ORCID: https://orcid.org/0000-0002-4576-6814)
- Hongru Li (ORCID: https://orcid.org/0000-0001-9078-5187)
- Qing Li (ORCID: https://orcid.org/0000-0003-2652-6070)
- Yusheng Chen (ORCID: https://orcid.org/0000-0001-5292-1301)
- Xiaojie Yang (ORCID: https://orcid.org/0000-0003-0704-6776)
- Jiabin Fang
Institutions
- Fujian Medical University (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1186/s12890-024-03443-6
- Citations
- 1
- Primary Topic
- PI3K/AKT/mTOR signaling in cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province