Quantification of tumor heterogeneity: from data acquisition to metric generation.
Trends Biotechnol
; 40(6): 647-676, 2022 06.
Article
en En
| MEDLINE
| ID: mdl-34972597
ABSTRACT
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable molecular profiles, aggressiveness, and proliferation potential coexist and interact. Understanding how heterogeneity influences tumor progression has important clinical implications for improving diagnosis, prognosis, and treatment response prediction. Several recent innovations in data acquisition methods and computational metrics have enabled the quantification of spatiotemporal heterogeneity across different scales of tumor organization. Here, we summarize the most promising efforts from a common experimental and computational perspective, discussing their advantages, shortcomings, and challenges. With personalized medicine entering a new era of unprecedented opportunities, our vision is that of future workflows integrating across modalities, scales, and dimensions to capture intricate aspects of the tumor ecosystem and to open new avenues for improved patient care.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Ecosistema
/
Neoplasias
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Trends Biotechnol
Año:
2022
Tipo del documento:
Article
País de afiliación:
Suiza