Transcriptome Analysis Identifies a Myeloid-Like Signature in Relapsed or Refractory B-Cell Acute Lymphoblastic Leukemia Patients With Poor Response to CD19 Chimeric Antigen Receptor T Cell Therapy.
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引用次数: 0
Abstract
Background: Relapsed or refractory B-cell acute lymphoblastic leukemia (R/R B-ALL) patients exhibit heterogeneous responses to CD19 chimeric antigen receptor T-cell (CAR-T) therapy. However, current studies primarily focus on the CAR-T cells or the leukemia blasts, and the patient's intrinsic molecular characteristics before treatment remain poorly understood.
Methods: Fifteen R/R B-ALL patients enrolled in a phase II, single-arm clinical trial (NCT04684147) were stratified at a three-month landmark into 8 good responders and 7 poor responders. Clinical characteristics, genetic alterations and pre-treatment bone marrow transcriptomics were compared between groups, and an exploratory gene-expression score was derived.
Results: Differential expression and enrichment analyses identified a myeloid-like signature and upregulation of myeloid-related genes in poor responders. Seven myeloid-related genes were examined in independent patient cohorts, in B-ALL cell lines and at single-cell resolution in one patient; three were expressed by the leukemic cells themselves and four predominantly by monocytes and macrophages. A separate, variance-derived seven-gene least absolute shrinkage and selection operator (LASSO) score separated response groups in the discovery cohort (apparent area under the curve, AUC 1.00), with bias-corrected and external estimates of approximately 0.57-0.59 (external cohort AUC 0.592, 95% confidence interval 0.356-0.828).
Conclusions: Pre-treatment transcriptomic profiling revealed a myeloid-like signature in R/R B-ALL patients with poor CD19 CAR-T response, warranting further investigation as a candidate correlate of treatment outcome.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.