The immune microenvironment shapes transcriptional and genetic heterogeneity in chronic lymphocytic leukemia

Author:

Sun Clare1ORCID,Chen Yun-Ching2,Martinez Zurita Aina3ORCID,Baptista Maria Joao4ORCID,Pittaluga Stefania5ORCID,Liu Delong2,Rosebrock Daniel3ORCID,Gohil Satyen Harish367,Saba Nakhle S.8,Davies-Hill Theresa5,Herman Sarah E. M.1,Getz Gad3910,Pirooznia Mehdi2ORCID,Wu Catherine J.3711ORCID,Wiestner Adrian1

Affiliation:

1. 1Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD

2. 2Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD

3. 3Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA

4. 4Josep Carreras Leukaemia Research Institute, IJC Can Ruti Campus, Barcelona, Spain

5. 5Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD

6. 6Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA

7. 7Department of Academic Haematology, University College London, London, United Kingdom

8. 8Section of Hematology and Medical Oncology, Department of Medicine, Tulane University, New Orleans, LA

9. 9Center for Cancer Research and Department of Pathology, Massachusetts General Hospital, Boston, MA

10. 10Harvard Medical School, Boston, MA

11. 11Department of Medicine, Brigham and Women's Hospital, Boston, MA

Abstract

Abstract In chronic lymphocytic leukemia (CLL), B-cell receptor signaling, tumor–microenvironment interactions, and somatic mutations drive disease progression. To better understand the intersection between the microenvironment and molecular events in CLL pathogenesis, we integrated bulk transcriptome profiling of paired peripheral blood (PB) and lymph node (LN) samples from 34 patients. Oncogenic processes were upregulated in LN compared with PB and in immunoglobulin heavy-chain variable (IGHV) region unmutated compared with mutated cases. Single-cell RNA sequencing (scRNA-seq) distinguished 3 major cell states: quiescent, activated, and proliferating. The activated subpopulation comprised only 2.2% to 4.3% of the total tumor bulk in LN samples. RNA velocity analysis found that CLL cell fate in LN is unidirectional, starts in the proliferating state, transitions to the activated state, and ends in the quiescent state. A 10-gene signature derived from activated tumor cells was associated with inferior treatment-free survival (TFS) and positively correlated with the proportion of activated CD4+ memory T cells and M2 macrophages in LN. Whole exome sequencing (WES) of paired PB and LN samples showed subclonal expansion in LN in approximately half of the patients. Since mouse models have implicated activation-induced cytidine deaminase in mutagenesis, we compared AICDA expression between cases with and without clonal evolution but did not find a difference. In contrast, the presence of a T-cell inflamed microenvironment in LN was associated with clonal stability. In summary, a distinct minor tumor subpopulation underlies CLL pathogenesis and drives the clinical outcome. Clonal trajectories are shaped by the LN milieu, where T-cell immunity may contribute to suppressing clonal outgrowth. The clinical study is registered at clinicaltrials.gov as NCT00923507.

Publisher

American Society of Hematology

Subject

Hematology

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