BACKGROUND: Leukemia is driven by complex interactions within the inherently hypoxic bone marrow microenvironment, impacting both disease progression and therapeutic resistance. Co-cultivation of leukemic cells with feeder cells has emerged as a valuable tool to mimic the bone marrow niche. This study explores the interplay between human commercial SD-1 and patient-derived UPF26K leukemic cell lines with feeders - human fibroblasts (NHDF) and mesenchymal stem cells (hMSCs) under normoxic and hypoxic conditions. RESULTS: Co-cultivation with feeders significantly enhances proliferation and glycolytic activity in the SD-1 cells, improving their viability, while this interaction inhibits the growth and glucose metabolism of the feeders, particularly NHDF. In contrast, UPF26K cells show reduced proliferation when co-cultivated with the feeders while this interaction stimulates NHDF and hMSCs proliferation and glycolysis but reduce their mitochondrial metabolism with hypoxia amplifying these effects. CONCLUSIONS: Cells that switch to glycolysis during co-cultivation, particularly under hypoxia, benefit most from these low oxygen conditions. Due to this leukemic cells' response heterogeneity, targeting microenvironmental interactions and oxygen levels is crucial for personalized leukemia therapy. Advancing co-cultivation models, particularly through innovations like spheroids, can further enhance in vitro studies of primary leukemic cells and support the testing of novel therapies.

• Keywords
• Co-cultivation, Feeders, Hypoxia, Leukemic cells, Tumor microenvironment,
• MeSH
• Fibroblasts * metabolism   MeSH
• Glycolysis MeSH
• Cell Hypoxia MeSH
• Coculture Techniques methods   MeSH
• Leukemia * pathology   metabolism   MeSH
• Humans MeSH
• Mesenchymal Stem Cells * metabolism   MeSH
• Mitochondria metabolism   MeSH
• Cell Line, Tumor MeSH
• Tumor Microenvironment MeSH
• Cell Proliferation MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

A large body of evidence suggests that hypoxia drives aggressive molecular features of malignant cells irrespective of cancer type. Non-Hodgkin lymphomas (NHL) are the most common hematologic malignancies characterized by frequent involvement of diverse hypoxic microenvironments. We studied the impact of long-term deep hypoxia (1% O2) on the biology of lymphoma cells. Only 2 out of 6 tested cell lines (Ramos, and HBL2) survived ≥ 4 weeks under hypoxia. The hypoxia-adapted (HA)b Ramos and HBL2 cells had a decreased proliferation rate accompanied by significant suppression of both oxidative phosphorylation and glycolytic pathways. Transcriptome and proteome analyses revealed marked downregulation of genes and proteins of the mitochondrial respiration complexes I and IV, and mitochondrial ribosomal proteins. Despite the observed suppression of glycolysis, the proteome analysis of both HA cell lines showed upregulation of several proteins involved in the regulation of glucose utilization including the active catalytic component of prolyl-4-hydroxylase P4HA1, an important druggable oncogene. HA cell lines demonstrated increased transcription of key regulators of auto-/mitophagy, e.g., neuritin, BCL2 interacting protein 3 (BNIP3), BNIP3-like protein, and BNIP3 pseudogene. Adaptation to hypoxia was further associated with deregulation of apoptosis, namely upregulation of BCL2L1/BCL-XL, overexpression of BCL2L11/BIM, increased binding of BIM to BCL-XL, and significantly increased sensitivity of both HA cell lines to A1155463, a BCL-XL inhibitor. Finally, in both HA cell lines AKT kinase was hyperphosphorylated and the cells showed increased sensitivity to copanlisib, a pan-PI3K inhibitor. In conclusion, our data report on several shared mechanisms of lymphoma cell adaptation to long-term hypoxia including: 1. Upregulation of proteins responsible for glucose utilization, 2. Degradation of mitochondrial proteins for potential mitochondrial recycling (by mitophagy), and 3. Increased dependence on BCL-XL and PI3K-AKT signaling for survival. In translation, inhibition of glycolysis, BCL-XL, or PI3K-AKT cascade may result in targeted elimination of HA lymphoma cells.

• Publication type
• Journal Article MeSH

Several in vitro models have been developed to mimic chronic lymphocytic leukemia (CLL) proliferation in immune niches; however, they typically do not induce robust proliferation. We prepared a novel model based on mimicking T-cell signals in vitro and in patient-derived xenografts (PDXs). Six supportive cell lines were prepared by engineering HS5 stromal cells with stable expression of human CD40L, IL4, IL21, and their combinations. Co-culture with HS5 expressing CD40L and IL4 in combination led to mild CLL cell proliferation (median 7% at day 7), while the HS5 expressing CD40L, IL4, and IL21 led to unprecedented proliferation rate (median 44%). The co-cultures mimicked the gene expression fingerprint of lymph node CLL cells (MYC, NFκB, and E2F signatures) and revealed novel vulnerabilities in CLL-T-cell-induced proliferation. Drug testing in co-cultures revealed for the first time that pan-RAF inhibitors fully block CLL proliferation. The co-culture model can be downscaled to five microliter volume for large drug screening purposes or upscaled to CLL PDXs by HS5-CD40L-IL4 ± IL21 co-transplantation. Co-transplanting NSG mice with purified CLL cells and HS5-CD40L-IL4 or HS5-CD40L-IL4-IL21 cells on collagen-based scaffold led to 47% or 82% engraftment efficacy, respectively, with ~20% of PDXs being clonally related to CLL, potentially overcoming the need to co-transplant autologous T-cells in PDXs.

• MeSH
• Stromal Cells * metabolism   pathology   MeSH
• Leukemia, Lymphocytic, Chronic, B-Cell * pathology   genetics   drug therapy   MeSH
• Protein Kinase Inhibitors pharmacology   MeSH
• Interleukin-21 MeSH
• Interleukins genetics   metabolism   MeSH
• Coculture Techniques * MeSH
• Humans MeSH
• CD40 Ligand * metabolism   genetics   MeSH
• Mice MeSH
• Cell Proliferation * MeSH
• T-Lymphocytes immunology   metabolism   MeSH
• Xenograft Model Antitumor Assays MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Mice MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Protein Kinase Inhibitors MeSH
• Interleukin-21 MeSH
• Interleukins MeSH
• CD40 Ligand * MeSH