Addressing cellular heterogeneity in tumor and circulation for refined prognostication.
Proc Natl Acad Sci U S A
; 116(36): 17957-17962, 2019 09 03.
Article
em En
| MEDLINE
| ID: mdl-31416912
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Microambiente Tumoral
/
Neoplasias
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article