Untargeted longitudinal analysis of a wellness cohort identifies markers of metastatic cancer years prior to diagnosis

We analyzed 1196 proteins in longitudinal plasma samples from participants in a commercial wellness program, including samples collected pre-diagnosis from ten cancer patients and 69 controls. For three individuals ultimately diagnosed with metastatic breast, lung, or pancreatic cancer, CEACAM5 was...

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Detalles Bibliográficos
Autores principales: Magis, Andrew T., Rappaport, Noa, Conomos, Matthew P., Omenn, Gilbert S., Lovejoy, Jennifer C., Hood, Leroy, Price, Nathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529776/
https://www.ncbi.nlm.nih.gov/pubmed/33004987
http://dx.doi.org/10.1038/s41598-020-73451-z
Descripción
Sumario:We analyzed 1196 proteins in longitudinal plasma samples from participants in a commercial wellness program, including samples collected pre-diagnosis from ten cancer patients and 69 controls. For three individuals ultimately diagnosed with metastatic breast, lung, or pancreatic cancer, CEACAM5 was a persistent longitudinal outlier as early as 26.5 months pre-diagnosis. CALCA, a biomarker for medullary thyroid cancer, was hypersecreted in metastatic pancreatic cancer at least 16.5 months pre-diagnosis. ERBB2 levels spiked in metastatic breast cancer between 10.0 and 4.0 months pre-diagnosis. Our results support the value of deep phenotyping seemingly healthy individuals in prospectively inferring disease transitions.

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