| Title | Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Hoshino A, Kim HSang, Bojmar L, Gyan KEnnu, Cioffi M, Hernandez J, Zambirinis CP, Rodrigues G, Molina H, Heissel S et al. |
| Journal | Cell |
| Volume | 182 |
| Issue | 4 |
| Pagination | 1044-1061.e18 |
| Date Published | 2020 Aug 20 |
| ISSN | 1097-4172 |
| Abstract | There is an unmet clinical need for improved tissue and liquid biopsy tools for cancer detection. We investigated the proteomic profile of extracellular vesicles and particles (EVPs) in 426 human samples from tissue explants (TEs), plasma, and other bodily fluids. Among traditional exosome markers, CD9, HSPA8, ALIX, and HSP90AB1 represent pan-EVP markers, while ACTB, MSN, and RAP1B are novel pan-EVP markers. To confirm that EVPs are ideal diagnostic tools, we analyzed proteomes of TE- (n = 151) and plasma-derived (n = 120) EVPs. Comparison of TE EVPs identified proteins (e.g., VCAN, TNC, and THBS2) that distinguish tumors from normal tissues with 90% sensitivity/94% specificity. Machine-learning classification of plasma-derived EVP cargo, including immunoglobulins, revealed 95% sensitivity/90% specificity in detecting cancer. Finally, we defined a panel of tumor-type-specific EVP proteins in TEs and plasma, which can classify tumors of unknown primary origin. Thus, EVP proteins can serve as reliable biomarkers for cancer detection and determining cancer type. |
| DOI | 10.1016/j.cell.2020.07.009 |
| Custom 1 | |
| Alternate Journal | Cell |
| PubMed ID | 32795414 |
| Grant List | P30 CA008748 / CA / NCI NIH HHS / United States |