Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/6843
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dc.contributor.authorBou Zerdan, Marounen_US
dc.contributor.authorKassab, Josephen_US
dc.contributor.authorSaba, Ludovicen_US
dc.contributor.authorHaroun, Elioen_US
dc.contributor.authorBou Zerdan, Morganen_US
dc.contributor.authorAllam, Sabineen_US
dc.contributor.authorNasr, Lewisen_US
dc.contributor.authorMacaron, Waliden_US
dc.contributor.authorMammadli, Mahinbanuen_US
dc.contributor.authorAbou Moussa, Sarahen_US
dc.contributor.authorChaulagain, Chakra Pen_US
dc.date.accessioned2023-06-06T09:08:43Z-
dc.date.available2023-06-06T09:08:43Z-
dc.date.issued2023-05-09-
dc.identifier.issn2234-943X-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/6843-
dc.description.abstractMinimal residual disease (MRD) assessment using peripheral blood instead of bone marrow aspirate/biopsy specimen or the biopsy of the cancerous infiltrated by lymphoid malignancies is an emerging technique with enormous interest of research and technological innovation at the current time. In some lymphoid malignancies (particularly ALL), Studies have shown that MRD monitoring of the peripheral blood may be an adequate alternative to frequent BM aspirations. However, additional studies investigating the biology of liquid biopsies in ALL and its potential as an MRD marker in larger patient cohorts in treatment protocols are warranted. Despite the promising data, there are still limitations in liquid biopsies in lymphoid malignancies, such as standardization of the sample collection and processing, determination of timing and duration for liquid biopsy analysis, and definition of the biological characteristics and specificity of the techniques evaluated such as flow cytometry, molecular techniques, and next generation sequencies. The use of liquid biopsy for detection of minimal residual disease in T-cell lymphoma is still experimental but it has made significant progress in multiple myeloma for example. Recent attempt to use artificial intelligence may help simplify the algorithm for testing and may help avoid inter-observer variation and operator dependency in these highly technically demanding testing process.en_US
dc.language.isoengen_US
dc.publisherNational Library of Medicineen_US
dc.subjectLiquid biopsyen_US
dc.subjectLymphoid malignanciesen_US
dc.subjectMinimal residual diseaseen_US
dc.subjectMultiple myelomaen_US
dc.subjectOncologyen_US
dc.titleLiquid biopsies and minimal residual disease in lymphoid malignanciesen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.3389/fonc.2023.1173701-
dc.identifier.pmid37228488-
dc.identifier.scopus2-s2.0-85159911494-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85159911494-
dc.contributor.affiliationFaculty of Medicineen_US
dc.description.volume13en_US
dc.description.statusPublisheden_US
dc.identifier.openURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203459/en_US
dc.relation.ispartoftextFrontiers in Oncologyen_US
Appears in Collections:Faculty of Medicine
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