Authors: | Wan, J. C. M.; White, J. R.; Diaz, L. A. Jr |
Title: | “Hey CIRI, what's my prognosis?” |
Abstract: | Although serial tumor assessments are increasingly performed through imaging and molecular approaches, such evaluations are often considered in isolation, as robust frameworks for integrating multiple biomarkers are currently lacking. Thus, in this issue of Cell, Kurtz et al. present a method (termed CIRI) that integrates pre-treatment and on-treatment risk factors for accurate outcome prediction. © 2019 Elsevier Inc. Although serial tumor assessments are increasingly performed through imaging and molecular approaches, such evaluations are often considered in isolation, as robust frameworks for integrating multiple biomarkers are currently lacking. Thus, in this issue of Cell, Kurtz et al present a method (termed CIRI) that integrates pre-treatment and on-treatment risk factors for accurate outcome prediction. © 2019 Elsevier Inc. |
Keywords: | event free survival; treatment outcome; treatment response; cancer risk; cancer adjuvant therapy; diagnostic accuracy; clinical practice; cancer palliative therapy; cell death; tumor volume; prediction; patient care; scoring system; short survey; clinical decision making; breast adenocarcinoma; chronic lymphatic leukemia; personalized medicine; medical history; oncologist; diffuse large b cell lymphoma; machine learning; next generation sequencing; cancer prognosis; human; priority journal; whole genome sequencing; liquid biopsy; continuous individualised risk index |
Journal Title: | Cell |
Volume: | 178 |
Issue: | 3 |
ISSN: | 0092-8674 |
Publisher: | Cell Press |
Date Published: | 2019-07-25 |
Start Page: | 518 |
End Page: | 520 |
Language: | English |
DOI: | 10.1016/j.cell.2019.07.005 |
PROVIDER: | scopus |
PUBMED: | 31348884 |
DOI/URL: | |
Notes: | Source: Scopus |