Early Measurable Residual Disease Detection after CAR-T is Associated with Poor Outcomes in Patients with Large B-cell Lymphoma
Krasnow, N.; Maurer, K.; Song, C.; Rhoades, J.; Xiong, K.; Crnjac, A.; Blewett, T.; Gao, L.; Jacene, H.; Merryman, R. W.; Gohil, S. H.; Duffy, C.; Guerrero, L. I.; Dela Cruz, J.; McDonough, M.; Wolff, J. O.; Redd, R.; Mattie, M.; Miles, B.; Makrigiorgos, G. M.; Neuberg, D. S.; Rodig, S. J.; Armand, P.; Jacobson, C. A.; Adalsteinsson, V. A.; Wu, C. J.
Show abstract
Despite responses of chimeric antigen receptor (CAR)-T cells in relapsed/refractory (R/R) large B cell lymphoma (LBCL) patients, over half of patients eventually relapse. Methods to detect early disease persistence are needed to identify patients at high-risk of treatment failure. We recently developed MAESTRO, an ultrasensitive, tumor-informed measurable residual disease (MRD) assay, which can detect parts-per-million (ppm) levels of circulating tumor DNA (ctDNA) using minimal sequencing. We applied MAESTRO to 140 samples from 28 patients (15 durable responders at 12 months, 13 nonresponders) to identify treatment failure following axicabtagene ciloleucel (axi-cel) administered at our institution between 2018 and 2022. Responder and nonresponder patients had similar baseline tumor burden. By 1 week after infusion, responders had marked ctDNA reduction compared to nonresponders, p<0.001. At weeks 2 and 4, responders had ctDNA levels approaching 0 ppm, while nonresponders had persistence of ctDNA, each p<0.001. At day 0, 21% of patients had ctDNA fractions below 0.01%, hence these individuals would not have qualified for ctDNA monitoring with a less sensitive test. Our results confirm feasibility of highly sensitive MRD detection by ctDNA for early identification of patients at high risk of disease progression from axi-cel.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Elucidating the heterogeneity of immunotherapy response and immune-related toxicities by longitudinal ctDNA and immune cell compartment tracking in lung cancer 95%
- Circulating tumor DNA analysis in advanced urothelial carcinoma: insights from biological analysis and extended clinical follow-up 93%
- Cell-free urine- and plasma DNA mutational analysis predicts neoadjuvant chemotherapy response and outcome in patients with muscle invasive bladder cancer 93%
Similar papers in this journal
- Affinity-matured CD72-targeting Nanobody CAR T-cells Enhance Elimination of Antigen-Low B-cell Malignancies 94%
- Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+ T cells in the tumor microenvironment and predicts clinical outcome in early- and late-phase clinical trials 93%
- Predictive value of preclinical models for CAR-T cell therapy clinical trials: a systematic review and meta-analysis 93%
Similar papers in this journal
- Bexmarilimab-induced macrophage activation leads to treatment benefit in solid tumors: the phase I/II first-in-human MATINS trial 94%
- An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer 92%
- Inflammatory reprogramming of the tumor microenvironment by infiltrating clonal hematopoiesis is associated with adverse outcomes in solid cancer 92%
Similar papers in this journal
- A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma 92%
- Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence 91%
- DUSP6 mediates resistance to JAK2 inhibition and drives leukemic progression 91%
Similar papers in this journal
- Low-affinity CAR T cells exhibit reduced trogocytosis, preventing fratricide and antigen-negative tumor escape while preserving anti-tumor activity 92%
- Establishment and Characterization of a CCND1-Rearranged Non-Mantle Cell Lymphoma Cell Line and Patient-Derived Xenograft Model 91%
- Base edited "universal" donor CAR T cell strategies for acute myeloid leukaemia 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.