Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901455322> ?p ?o ?g. }
- W2901455322 abstract "Liquid biopsies have received attention as a complementary tool for traditional tissue biopsies that may enhance the spectrum of analysis for tumor-derived factors. One such factor gaining prominence in the liquid biopsy field is extracellular vesicles (EVs), membrane-bound nanovesicles which are secreted by cells into biofluids such as blood, urine, and saliva. EVs are released in both physiological and pathological conditions and can transport a variety of molecules, including proteins, metabolites, RNA, microRNAs, and DNA, to distant sites throughout the body. As such, they are emerging as a promising source of tumor biomarkers for the noninvasive diagnosis, prognosis, and monitoring of cancer patients. In particular, the wealth of tumor-related information that can be gleaned from the EV proteomic cargo has become apparent through mass spectrometric analysis, which has provided new benchmarks for clinically focused biomarker research. In this review, the current achievements in the use of MS for identifying potential EV-derived protein biomarkers of cancer are explored, and the techniques and challenges involved in this pursuit are summarized." @default.
- W2901455322 created "2018-11-29" @default.
- W2901455322 creator A5026943728 @default.
- W2901455322 creator A5073485516 @default.
- W2901455322 date "2019-01-01" @default.
- W2901455322 modified "2023-10-16" @default.
- W2901455322 title "Tumor-Derived Extracellular Vesicles as a Novel Source of Protein Biomarkers for Cancer Diagnosis and Monitoring" @default.
- W2901455322 cites W1601681275 @default.
- W2901455322 cites W1910005513 @default.
- W2901455322 cites W1950118853 @default.
- W2901455322 cites W1964232997 @default.
- W2901455322 cites W1990308608 @default.
- W2901455322 cites W1997442983 @default.
- W2901455322 cites W1997799423 @default.
- W2901455322 cites W2002642324 @default.
- W2901455322 cites W2002710687 @default.
- W2901455322 cites W2004741537 @default.
- W2901455322 cites W2015039954 @default.
- W2901455322 cites W2026878981 @default.
- W2901455322 cites W2030701238 @default.
- W2901455322 cites W2046052274 @default.
- W2901455322 cites W2064645417 @default.
- W2901455322 cites W2067651633 @default.
- W2901455322 cites W2076920991 @default.
- W2901455322 cites W2089081493 @default.
- W2901455322 cites W2094261340 @default.
- W2901455322 cites W2131193868 @default.
- W2901455322 cites W2152915643 @default.
- W2901455322 cites W2159401023 @default.
- W2901455322 cites W2162285675 @default.
- W2901455322 cites W2169961966 @default.
- W2901455322 cites W2171620774 @default.
- W2901455322 cites W2190531836 @default.
- W2901455322 cites W2273372601 @default.
- W2901455322 cites W2302003756 @default.
- W2901455322 cites W2340629756 @default.
- W2901455322 cites W2409619909 @default.
- W2901455322 cites W2410993002 @default.
- W2901455322 cites W2427357225 @default.
- W2901455322 cites W2533859903 @default.
- W2901455322 cites W2546718654 @default.
- W2901455322 cites W2549620826 @default.
- W2901455322 cites W2567216943 @default.
- W2901455322 cites W2619076775 @default.
- W2901455322 cites W2624860380 @default.
- W2901455322 cites W2753390133 @default.
- W2901455322 cites W2753937241 @default.
- W2901455322 cites W2759081117 @default.
- W2901455322 cites W2761680614 @default.
- W2901455322 cites W2765899133 @default.
- W2901455322 cites W2768512267 @default.
- W2901455322 cites W2771541888 @default.
- W2901455322 cites W2773899600 @default.
- W2901455322 cites W2775739198 @default.
- W2901455322 cites W2783788125 @default.
- W2901455322 cites W2786111433 @default.
- W2901455322 cites W2805763941 @default.
- W2901455322 cites W2896433162 @default.
- W2901455322 doi "https://doi.org/10.1002/pmic.201800155" @default.
- W2901455322 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30467990" @default.
- W2901455322 hasPublicationYear "2019" @default.
- W2901455322 type Work @default.
- W2901455322 sameAs 2901455322 @default.
- W2901455322 citedByCount "37" @default.
- W2901455322 countsByYear W29014553222019 @default.
- W2901455322 countsByYear W29014553222020 @default.
- W2901455322 countsByYear W29014553222021 @default.
- W2901455322 countsByYear W29014553222022 @default.
- W2901455322 countsByYear W29014553222023 @default.
- W2901455322 crossrefType "journal-article" @default.
- W2901455322 hasAuthorship W2901455322A5026943728 @default.
- W2901455322 hasAuthorship W2901455322A5073485516 @default.
- W2901455322 hasConcept C104317684 @default.
- W2901455322 hasConcept C121608353 @default.
- W2901455322 hasConcept C124535831 @default.
- W2901455322 hasConcept C126322002 @default.
- W2901455322 hasConcept C145059251 @default.
- W2901455322 hasConcept C20518536 @default.
- W2901455322 hasConcept C2777002142 @default.
- W2901455322 hasConcept C2779529041 @default.
- W2901455322 hasConcept C2781197716 @default.
- W2901455322 hasConcept C2908689518 @default.
- W2901455322 hasConcept C2992929900 @default.
- W2901455322 hasConcept C46111723 @default.
- W2901455322 hasConcept C502942594 @default.
- W2901455322 hasConcept C55493867 @default.
- W2901455322 hasConcept C60644358 @default.
- W2901455322 hasConcept C70721500 @default.
- W2901455322 hasConcept C71924100 @default.
- W2901455322 hasConcept C86803240 @default.
- W2901455322 hasConcept C95444343 @default.
- W2901455322 hasConceptScore W2901455322C104317684 @default.
- W2901455322 hasConceptScore W2901455322C121608353 @default.
- W2901455322 hasConceptScore W2901455322C124535831 @default.
- W2901455322 hasConceptScore W2901455322C126322002 @default.
- W2901455322 hasConceptScore W2901455322C145059251 @default.
- W2901455322 hasConceptScore W2901455322C20518536 @default.
- W2901455322 hasConceptScore W2901455322C2777002142 @default.
- W2901455322 hasConceptScore W2901455322C2779529041 @default.
- W2901455322 hasConceptScore W2901455322C2781197716 @default.