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A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma.

Authors :
Pilcher WC
Yao L
Gonzalez-Kozlova E
Pita-Juarez Y
Karagkouni D
Acharya CR
Michaud ME
Hamilton M
Nanda S
Song Y
Sato K
Wang JT
Satpathy S
Ma Y
Schulman J
D'Souza D
Jayasinghe RG
Cheloni G
Bakhtiari M
Pabustan N
Nie K
Foltz JA
Saldarriaga I
Alaaeldin R
Lepisto E
Chen R
Fiala MA
Thomas BE
Cook A
Dos Santos JV
Chiang IL
Figueiredo I
Fortier J
Slade M
Oh ST
Rettig MP
Anderson E
Li Y
Dasari S
Strausbauch MA
Simon VA
Rahman AH
Chen Z
Lagana A
DiPersio JF
Rosenblatt J
Kim-Schulze S
Dhodapkar MV
Lonial S
Kumar S
Bhasin SS
Kourelis T
Vij R
Avigan D
Cho HJ
Mulligan G
Ding L
Gnjatic S
Vlachos IS
Bhasin M
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 17. Date of Electronic Publication: 2024 May 17.
Publication Year :
2024

Abstract

Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.

Details

Language :
English
ISSN :
2692-8205
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Publication Type :
Academic Journal
Accession number :
38798338
Full Text :
https://doi.org/10.1101/2024.05.15.593193