Targeting Pim kinases in hematological cancers: molecular and clinical review
M Bellon, C Nicot - Molecular Cancer, 2023 - Springer
Decades of research has recognized a solid role for Pim kinases in lymphoproliferative
disorders. Often up-regulated following JAK/STAT and tyrosine kinase receptor signaling …
disorders. Often up-regulated following JAK/STAT and tyrosine kinase receptor signaling …
SWI/SNF complexes in hematological malignancies: biological implications and therapeutic opportunities
A Andrades, P Peinado, JC Alvarez-Perez… - Molecular cancer, 2023 - Springer
Hematological malignancies are a highly heterogeneous group of diseases with varied
molecular and phenotypical characteristics. SWI/SNF (SWItch/Sucrose Non-Fermentable) …
molecular and phenotypical characteristics. SWI/SNF (SWItch/Sucrose Non-Fermentable) …
Effect of ibrutinib with R-CHOP chemotherapy in genetic subtypes of DLBCL
WH Wilson, GW Wright, B Hodkinson… - Cancer cell, 2021 - cell.com
In diffuse large B cell lymphoma (DLBCL), tumors belonging to the ABC but not GCB gene
expression subgroup rely upon chronic active B cell receptor signaling for viability, a …
expression subgroup rely upon chronic active B cell receptor signaling for viability, a …
ARID1A orchestrates SWI/SNF-mediated sequential binding of transcription factors with ARID1A loss driving pre-memory B cell fate and lymphomagenesis
ARID1A, a subunit of the canonical BAF nucleosome remodeling complex, is commonly
mutated in lymphomas. We show that ARID1A orchestrates B cell fate during the germinal …
mutated in lymphomas. We show that ARID1A orchestrates B cell fate during the germinal …
Follicular lymphoma microenvironment characteristics associated with tumor cell mutations and MHC class II expression
Follicular lymphoma (FL) is a B-cell malignancy with a complex tumor microenvironment that
is rich in nonmalignant immune cells. We applied single-cell RNA sequencing to …
is rich in nonmalignant immune cells. We applied single-cell RNA sequencing to …
Risk assessment with low-pass whole-genome sequencing of cell-free DNA before CD19 CAR T-cell therapy for large B-cell lymphoma
HJJ Cherng, R Sun, B Sugg, R Irwin… - Blood, The Journal …, 2022 - ashpublications.org
Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term
remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more …
remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more …
BTG1 mutation yields supercompetitive B cells primed for malignant transformation
C Mlynarczyk, M Teater, J Pae, CR Chin, L Wang… - Science, 2023 - science.org
Multicellular life requires altruistic cooperation between cells. The adaptive immune system
is a notable exception, wherein germinal center B cells compete vigorously for limiting …
is a notable exception, wherein germinal center B cells compete vigorously for limiting …
SMARCA4 is a haploinsufficient B cell lymphoma tumor suppressor that fine-tunes centrocyte cell fate decisions
SMARCA4 encodes one of two mutually exclusive ATPase subunits in the BRG/BRM
associated factor (BAF) complex that is recruited by transcription factors (TFs) to drive …
associated factor (BAF) complex that is recruited by transcription factors (TFs) to drive …
CD24 is a potential immunotherapeutic target for mantle cell lymphoma
JÁ Freile, N Ustyanovska Avtenyuk, MG Corrales… - Biomedicines, 2022 - mdpi.com
CD24 and its ligand Siglec-10 were described as an innate immune checkpoint in
carcinoma. Here, we investigated this axis in B-cell lymphoma by assessing CD24 …
carcinoma. Here, we investigated this axis in B-cell lymphoma by assessing CD24 …
[HTML][HTML] Artificial intelligence predicted overall survival and classified mature B-cell neoplasms based on immuno-oncology and immune checkpoint panels
Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …