Your browser doesn't support javascript.
loading
An Inflection Point in Cancer Protein Biomarkers: What was and What's Next.
Barker, Anna D; Alba, Mario M; Mallick, Parag; Agus, David B; Lee, Jerry S H.
Afiliação
  • Barker AD; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, California, USA; Complex Adaptive Systems Initiative and School of Life Sciences, Arizona State University, Tempe, Arizona, USA. Electronic address: ABarker@eitm.org.
  • Alba MM; Department of Pharmacology and Pharmaceutical Sciences, USC Alfred E. Mann School of Pharmacy, University of Southern California, Los Angeles, California, USA.
  • Mallick P; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California, USA; Department of Radiology, Stanford University, Stanford, California, USA.
  • Agus DB; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, California, USA; Keck School of Medicine, University of Southern California, Los Angeles, California, USA; Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
  • Lee JSH; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, California, USA; Keck School of Medicine, University of Southern California, Los Angeles, California, USA; Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
Mol Cell Proteomics ; 22(7): 100569, 2023 07.
Article em En | MEDLINE | ID: mdl-37196763
ABSTRACT
Biomarkers remain the highest value proposition in cancer medicine today-especially protein biomarkers. Despite decades of evolving regulatory frameworks to facilitate the review of emerging technologies, biomarkers have been mostly about promise with very little to show for improvements in human health. Cancer is an emergent property of a complex system, and deconvoluting the integrative and dynamic nature of the overall system through biomarkers is a daunting proposition. The last 2 decades have seen an explosion of multiomics profiling and a range of advanced technologies for precision medicine, including the emergence of liquid biopsy, exciting advances in single-cell analysis, artificial intelligence (machine and deep learning) for data analysis, and many other advanced technologies that promise to transform biomarker discovery. Combining multiple omics modalities to acquire a more comprehensive landscape of the disease state, we are increasingly developing biomarkers to support therapy selection and patient monitoring. Furthering precision medicine, especially in oncology, necessitates moving away from the lens of reductionist thinking toward viewing and understanding that complex diseases are, in fact, complex adaptive systems. As such, we believe it is necessary to redefine biomarkers as representations of biological system states at different hierarchical levels of biological order. This definition could include traditional molecular, histologic, radiographic, or physiological characteristics, as well as emerging classes of digital markers and complex algorithms. To succeed in the future, we must move past purely observational individual studies and instead start building a mechanistic framework to enable integrative analysis of new studies within the context of prior studies. Identifying information in complex systems and applying theoretical constructs, such as information theory, to study cancer as a disease of dysregulated communication could prove to be "game changing" for the clinical outcome of cancer patients.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article