Constant tumor antigen exposure disrupts chimeric antigen receptor (CAR) T cell metabolism, limiting their persistence and anti-tumor efficacy. To address this, we develop metabolically reprogrammed CAR (MCAR) T cells with enhanced autophagy and mitophagy. A compound screening identifies a synergy between GLP-1R agonist (semaglutide [SG]) and Urolithin A (UrA), which activate autophagy through mTOR (mechanistic target of rapamycin) inhibition and mitophagy via Atg4b activation, maintaining mitochondrial metabolism in CAR T cells (MCAR T-1). These changes increase CD8+ T memory cells (Tm), enhancing persistence and anti-tumor activity in vitro and in xenograft models. GLP-1R knockdown in CAR T cells diminishes autophagy/mitophagy induction, confirming its critical role. We further engineer GLP-1-secreting cells (MCAR T-2), which exhibited sustained memory, stemness, and long-term persistence, even under tumor re-challenge. MCAR T-2 cells also reduce cytokine release syndrome (CRS) risks while demonstrating potent anti-tumor effects. This strategy highlights the potential of metabolic reprogramming via targeting autophagy/mitophagy pathways to improve CAR T cell therapy outcomes, ensuring durability and efficacy.
Copyright © 2025 The Authors. Published by Elsevier Inc. All rights reserved.

Chimeric antigen receptor T cells (CAR T cells) with T stem (TSCM) cell-like phenotypic characteristics promote sustained antitumor effects. We performed an unbiased and automated high-throughput screen of a kinase-focused compound set to identify kinase inhibitors (KIs) that preserve human TSCM cell-like CAR T cells. We identified three KIs, UNC10225387B, UNC10225263A and UNC10112761A, that combined in vitro increased the frequency of CD45RA+CCR7+TCF1hi TSCM cell-like CAR T cells from both healthy donors and patients with cancer. KI-treated CAR T cells showed enhanced antitumor effects both in vitro and in vivo in mouse tumor models. The KI cocktail maintains TSCM cell-like phenotype preferentially in CAR T cells originating from naive T cells and causes transcriptomic changes without arresting T cell activation or modulating the chromatin organization. Specific kinases, ITK, ADCK3, MAP3K4 and CDK13, targeted by the KI cocktail in a dose-dependent manner are directly associated with the preservation of TSCM cell-like CAR T cells. Knockdown of these kinases individually or in combination enriches for TSCM cell-like CAR T cells, but only CAR T cells generated in the presence of the KI cocktail show robust expansion and differentiation on stimulation with tumor cells. Overall, transient pharmacological inhibition of strategically targeted kinases maintains stem-like features in CAR T cells and improves their antitumor activity.
© 2025. The Author(s).

Tissue specimens taken from primary tumors or metastases contain important information for diagnosis and treatment of cancer patients. Multiplex imaging allows in situ visualization of heterogeneous cell populations, such as immune cells, in tissue samples. Most image processing pipelines first segment cell boundaries and then measure marker expression to assign cell phenotypes. In dense tissue environments, this segmentation-first approach can be inaccurate due to segmentation errors or overlapping cells. Here, we introduce the machine-learning pipeline "ImmuNet", which identifies positions and phenotypes of cells without segmenting them. ImmuNet is easy to train: human annotators only need to click on an immune cell and score its expression of each marker-drawing a full cell outline is not required. We trained and evaluated ImmuNet on multiplex images from human tonsil, lung cancer, prostate cancer, melanoma, and bladder cancer tissue samples and found it to consistently achieve error rates below 5%-10% across tissue types, cell types, and tissue densities, outperforming a segmentation-based baseline method. Furthermore, we externally validate ImmuNet results by comparing them to flow cytometric cell count measurements from the same tissue. In summary, ImmuNet is an effective, simpler alternative to segmentation-based approaches when only cell positions and phenotypes, but not their shapes, are required for downstream analyses. Thus, ImmuNet helps researchers to analyze cell positions in multiplex tissue images more easily and accurately.
© The Author(s) 2024. Published by Oxford University Press.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is an extremely rare and aggressive tumor with an unknown pathogenesis. Myelofibrosis (MF) is a type of myeloproliferative neoplasm. MF can be secondary to several hematological malignancies, including chronic myeloid leukemia, myelodysplastic syndrome and hairy cell leukemia. In the present report, a rare case of BPDCN secondary to MF is described. A 70-year-old male patient developed a large purplish-red rash with recurrent symptoms. BPDCN was confirmed by immunohistochemistry of a biopsy specimen and flow cytometry of bone marrow cells. Bone marrow histopathology revealed MF. Next-generation sequencing of peripheral blood revealed mutations in the Tet methylcytosine dioxygenase 2 and NRAS proto-oncogene GTPase genes. The patient underwent one cycle of chemoimmunotherapy, but the condition progressed, an infection developed and the patient eventually died. The present case suggests that BPDCN can occur in conjunction with MF and that the prognosis of such patients is poor. Pathological examination and genetic testing aided in the diagnosis and treatment. This case emphasizes the need to raise awareness of BPDCN among clinicians and to be alert to the potential for fatal infection in patients with BPDCN combined with MF following myelosuppression triggered during chemotherapy.
Copyright: © 2024 Luo et al.

Although photodynamic therapy (PDT) has been proven effective in various tumors, it has not been widely used as a routine treatment for colorectal cancer (CRC), and the characteristics of changes in the tumor microenvironment (TME) after PDT have not been fully elucidated. This study evaluated the efficacy of PDT in patients with advanced CRC and the changes in systemic and local immune function after PDT.
Patients with stage III-IV CRC diagnosed in our hospital from November 2020 to July 2021 were retrospectively analyzed to compare the survival outcomes among each group. Subsequently, short-term efficacy, systemic and local immune function changes, and adverse reactions were assessed in CRC patients treated with PDT.
A total of 52 CRC patients were enrolled in this retrospective study from November 2020 to July 2021, and the follow-up period ended in March 2022. The overall survival (OS) of the PDT group was significantly longer than that of the non-PDT group (p=0.006). The objective response rate (ORR) and disease control rate two months after PDT were 44.4% and 88.9%, respectively. Differentiation degree (p=0.020) and necrosis (p=0.039) are two crucial factors affecting the short-term efficacy of PDT. The systemic immune function of stage III patients after PDT decreased, whereas that of stage IV patients increased. Local infiltration of various immune cells such as CD3+ T cells, CD4+ T cells, CD8+ T cells, CD20+ B cells and macrophages in the tumor tissue were significantly increased. No severe adverse reactions associated with PDT were observed.
PDT is effective for CRC without significant side effects according to the available data. It alters the TME by recruiting immune cells into tumor tissues.
Copyright © 2022 Gu, Wang, Li, Feng, Ma, Gao, Yu, Zhang, Zheng, Wang, Li, Zhang and Chen.