| Autor: |
Su Bin Lim, Trifanny Yeo, Wen Di Lee, Bhagat, Ali Asgar S., Swee Jin Tan, Shao Weng Tan, Daniel, Wan-Teck Lim, Chwee Teck Lim |
| Předmět: |
|
| Zdroj: |
Proceedings of the National Academy of Sciences of the United States of America; 9/3/2019, Vol. 116 Issue 36, p17957-17962, 6p |
| Abstrakt: |
Despite pronounced genomic and transcriptomic heterogeneity in non-small-cell lung cancer (NSCLC) not only between tumors, but also within a tumor, validation of clinically relevant gene signatures for prognostication has relied upon single-tissue samples, including 2 commercially available multigene tests (MGTs). Here we report an unanticipated impact of intratumor heterogeneity (ITH) on risk prediction of recurrence in NSCLC, underscoring the need for a better genomic strategy to refine prognostication. By leveraging label-free, inertial-focusing microfluidic approaches in retrieving circulating tumor cells (CTCs) at single-cell resolution, we further identified specific gene signatures with distinct expression profiles in CTCs from patients with differing metastatic potential. Notably, a refined prognostic risk model that reconciles the level of ITH and CTC-derived gene expression data outperformed the initial classifier in predicting recurrence-free survival (RFS). We propose tailored approaches to providing reliable risk estimates while accounting for ITH-driven variance in NSCLC. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
