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Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma

Authors :
Maya Koren-Michowitz
Jesús F. San-Miguel
Hadas Keren-Shaul
Assaf Weiner
Sigalit Kay
Guy Ledergor
Lev Shvidel
Shalev Itzkovitz
Jonathan J Keats
Irit Avivi
Keren Bahar Halpern
Nimrod Snir
Katrin Herzog-Tzarfati
Shuang-Yin Wang
Ron Rotkopf
Mor Zada
Moshe Salai
Hila Magen
Ido Yofe
Bruno Paiva
Eyal David
Yael C Cohen
Dina Ben Yehuda
Ola Landgren
Arnon Nagler
Venkata Yellapantula
Chamutal Bornstein
Amos Tanay
Avi Orr-Urtreger
Ido Amit
Elli Papaemmanuil
Moshe E. Gatt
Gabriel I. Barbash
Source :
Nature Medicine, Dadun. Depósito Académico Digital de la Universidad de Navarra, instname

Abstract

Multiple myeloma, a plasma cell malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA sequencing to study the heterogeneity of 40 individuals along the multiple myeloma progression spectrum, including 11 healthy controls, demonstrating high interindividual variability that can be explained by expression of known multiple myeloma drivers and additional putative factors. We identify extensive subclonal structures for 10 of 29 individuals with multiple myeloma. In asymptomatic individuals with early disease and in those with minimal residual disease post-treatment, we detect rare tumor plasma cells with molecular characteristics similar to those of active myeloma, with possible implications for personalized therapies. Single cell analysis of rare circulating tumor cells allows for accurate liquid biopsy and detection of malignant plasma cells, which reflect bone marrow disease. Our work establishes single cell RNA sequencing for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients. Single cell dissection of plasma cell heterogeneity in myeloma patients reveals new insights into disease that may inform early diagnosis and clinical management.

Details

Language :
English
ISSN :
1546170X and 10788956
Volume :
24
Issue :
12
Database :
OpenAIRE
Journal :
Nature Medicine
Accession number :
edsair.doi.dedup.....52936b1630e53aad197625f0fc845942
Full Text :
https://doi.org/10.1038/s41591-018-0269-2