Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma.
1/5 보강
Intratumor heterogeneity impacts disease progression and therapeutic resistance but remains poorly characterized by conventional histologic, immunophenotypic, and molecular approaches.
APA
Zhang Y, Debaize L, et al. (2025). Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma.. Science advances, 11(49), eady2963. https://doi.org/10.1126/sciadv.ady2963
MLA
Zhang Y, et al.. "Integrating single-cell biophysical and transcriptomic features to resolve functional heterogeneity in mantle cell lymphoma.." Science advances, vol. 11, no. 49, 2025, pp. eady2963.
PMID
41348872
Abstract
Intratumor heterogeneity impacts disease progression and therapeutic resistance but remains poorly characterized by conventional histologic, immunophenotypic, and molecular approaches. Single-cell biophysical properties distinguish functional phenotypes complementary to these approaches, providing additional insight into cellular diversity. Here, we link both buoyant mass and stiffness to gene expression to identify clinically relevant phenotypes within primary mantle cell lymphoma (MCL) cells, using MCL as a model of biological and clinical diversity in human cancer. Linked measurements reveal that buoyant mass and stiffness characterize B cell development states from naïve to plasma cell and correlate with expression of oncogenic B cell receptor signaling genes such as and . In addition, changes in cell buoyant mass within primary patient specimens ex vivo correlate with sensitivity to Bruton's tyrosine kinase inhibitors in vivo in MCL and chronic lymphocytic leukemia, another B cell malignancy. These findings highlight the value of biophysical properties as biomarkers of response in pursuit of future precision therapeutic strategies.
MeSH Terms
Lymphoma, Mantle-Cell; Humans; Single-Cell Analysis; Transcriptome; Gene Expression Regulation, Neoplastic; Cell Line, Tumor; Agammaglobulinaemia Tyrosine Kinase; B-Lymphocytes; Gene Expression Profiling; Genetic Heterogeneity; Signal Transduction; Receptors, Antigen, B-Cell
같은 제1저자의 인용 많은 논문 (5)
- Comment on: "Interpretable machine learning model for predicting early recurrence of pancreatic cancer: integrating intratumoral and peritumoral radiomics with body composition".
- Blocking SHP2 benefits FGFR2 inhibitor and overcomes its resistance in -amplified gastric cancer.
- Impact of contrast-enhanced computed tomography surveillance frequency on survival outcomes in patients with stage I-III colorectal cancer: A propensity score-matched retrospective cohort study.
- Corrigendum to "TMEM176A drives anti-apoptotic signaling through TGM2-mediated ERK activation in gastric cancer" [Int. Immunopharmacol. 168 (2026) 115798].
- Dietary restriction genes as modulators of breast cancer risk through metabolic pathways.