Sex-specific Risk Factors for Survival in B-cell Non-Hodgkin Lymphoma Patients after Anti-CD19 CAR T-Cell Therapy
Patel, M. S.; Mian, A.; Jalota, A.; Bazeley, P.; Patil, S.; Hill, B. T.; Gupta, N.
Show abstract
Sex bias is well documented in autoimmune diseases, cancer and immune responses to infectious agents. Here, we investigated if pre-treatment risk factors that influence the survival of B-cell non-Hodgkin lymphoma (NHL) patients after anti-CD19 CAR T-cell therapy are sexually dimorphic. We measured pre-leukapheresis tumor burden (lactate dehydrogenase levels), C-reactive protein (CRP) and serum cytokine and chemokine concentration in 67 B-cell NHL patients treated with axicabtagene ciloleucel (axi-cel) or tisagenlecleucel (tisa-cel). Association of relative abundance of each factor with progression-free survival (PFS) and overall survival (OS) was analyzed in male and female patients together, or only within the male cohort or only within the female cohort. No differences in PFS or OS or in pre-treatment tumor burden, CRP and cytokine/chemokine levels were observed between male and female patients undergoing axi-cel or tisa-cel therapy. However, within the male group, patients with higher pre-treatment tumor burden and greater relative abundance of CRP and pro-inflammatory cytokines and chemokines conferred greater risk of poor progression-free survival (PFS) and/or overall survival (OS). In contrast, within the female group, patient survival was largely agnostic to variations in tumor burden, CRP and cytokine/chemokine abundance. Specifically, higher relative abundance of IL-6, IL-8, IL-27, TNF-, Eotaxin-1, MIP-1{beta} and MCP-1 was associated with poor PFS and/or OS after CAR T-cell therapy within the male group, whereas higher IL-27 and IFN2 abundance was associated with better PFS and poorer OS, respectively, within the female group. Our data suggest that biological sex may modulate the impact of baseline risk factors on survival outcomes of CAR T-cell therapy in B-cell NHL.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Machine learning for prediction of immunotherapy efficacy in non-small cell lung cancer from simple clinical and biological data 94%
- Differential B-cell receptor signaling requirement for adhesion of mantle cell lymphoma cells to stromal cells 93%
- ARPP19 promotes MYC expression and associates with patient relapse in acute myeloid leukemia 92%
Similar papers in this journal
Similar papers in this journal
- Convalescent plasma improves overall survival in patients with B-cell lymphoid malignancies and COVID-19: a longitudinal cohort and propensity score analysis 93%
- Combining LSD1 and JAK-STAT inhibition targets Down syndrome-associated myeloid leukemia at its core 92%
- Daratumumab induces mechanisms of immune activation through CD38+ NK cell targeting 92%
Similar papers in this journal
- TIM-3 blockade enhances ex vivo stimulated allogeneic NK cell therapy for relapsed murine neuroblastoma after hematopoietic cell transplant 93%
- CD155 blockade enhances allogeneic natural killer cell-mediated antitumor response against osteosarcoma 93%
- Distinct host preconditioning regimens differentially impact the antitumor potency of adoptively transferred Th17 cells. 93%
Similar papers in this journal
- Blinatumomab-driven T-cell activation in αβ and γδ T-cell subsets: Insights from in vitro assays 93%
- Dampened inflammatory signalling and myeloid-derived suppressor-like cell accumulation reduces circulating monocytic HLA-DR density and associates with malignancy risk in long-term renal transplant recipients 92%
- A three-gene expression score for predicting clinical benefit to anti-PD-1 blockade in advanced renal cell carcinoma 92%
"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.