98%
921
2 minutes
20
In the treatment of relapsed or refractory multiple myeloma patients, BCMA-directed autologous CAR-T cells have showed excellent anti-tumor activity. However, their widespread application is limited due to the arguably cost and time-consuming. Multiple myeloma cells highly expressed CD47 molecule and interact with the SIRPα ligand on the surface of macrophages, in which evade the clearance of macrophages through the activation of "don't eat me" signal. In this study, a BCMA-directed universal CAR-T cells, BC404-UCART, secreting a CD47-SIRPα blocker was developed using CRISPR/Cas9 gene-editing system. BC404-UCART cells significantly inhibited tumor growth and prolonged the survival of mice in the xenograft model. The anti-tumor activity of BC404-UCART cells was achieved via two mechanisms, on the one hand, the UCAR-T cells directly killed tumor cells, on the other hand, the BC404-UCART cells enhanced the phagocytosis of macrophages by secreting anti-CD47 nanobody hu404-hfc fusion that blocked the "don't eat me" signal between macrophages and tumor cells, which provides a potential strategy for the development of novel "off-the-shelf" cellular immunotherapies for the treatment of multiple myeloma.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.canlet.2024.216660 | DOI Listing |
Palliat Med Rep
August 2025
Palliative Medicine Program, Clínica Universitaria Colombia, Bogotá, Colombia.
Objective: International literature suggests that patients with hematological diseases are frequently referred to palliative care (PC) at a late stage. This study aims to explore the attitudes of a hemato-oncology care team toward referring patients to the PC in a fourth-level hospital in Bogotá, Distrito Capital.
Methods: This exploratory qualitative study was conducted through in-person focus groups between May 2024 and October 2024 at Clínica Universitaria Colombia in Bogotá, Colombia.
Blood Neoplasia
November 2025
Section of Hematology/Oncology, The University of Chicago, Chicago, IL.
Modern multiple myeloma treatment enables deep and sustained responses, necessitating assessment of minimal residual disease (MRD) in the bone marrow to refine response categorization. Recently, mass spectrometry (MS)-based methods have emerged as highly sensitive tools for measuring MRD in the peripheral blood. However, the role specific MS techniques play in response categorization has yet to be established.
View Article and Find Full Text PDFOncol Res
September 2025
Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Background: Multiple myeloma (MM) remains a formidable clinical challenge due to its high relapse rate and resistance to existing therapies. Estrogen-related receptor gamma (ERRγ), a nuclear receptor critical for cellular energy metabolism, has been implicated in various cancers. but its role in MM remains unclear.
View Article and Find Full Text PDFBackground And Aim: Cancer is currently recognized as one of the leading causes of mortality worldwide. Given the limited understanding of the association between elevated erythrocyte sedimentation rate (ESR) and solid tumors (STs), this study aimed to examine ESR values at the time of malignancy diagnosis.
Methods: This cross-sectional study utilized data extracted from the medical records of cancer patients at Shahid Baghaei-2 Hospital and Shafa Hospital in Ahvaz, Iran, from February 2020 to October 2021.
Blood Lymphat Cancer
August 2025
Department of Scientific Research, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Purpose: The study was constructed for investigating the serum expression levels of ATIC with multiple myeloma (MM) patients and its potential clinical value as a biomarker, and analyzing its association with disease stage, treatment response, genetic characteristics and prognosis.
Patients And Methods: The serum concentrations of ATIC were assessed in 186 MM patients and 201 healthy controls via ELISA, and the diagnostic efficacy was evaluated through ROC curve analysis. Correlation analysis was conducted based on clinical parameters, including common comorbidities, clinical stages, laboratory indicators, disease status, treatment response level, and pathological characteristics.