Project description:Murine lung cancer cell lines, ASB-XIV and LLC1 are sensitive and resistant to immune checkpoint blockade, respectively. To compare their tumor microenvironment, we performed RNA-Seq analysis.
Project description:We injected LLC1 cells into tibia to construct a murine model to study bone microenvironment in cancer bone metastasis. We used single cell RNA sequencing (scRNA-seq) to analyze the cellular heterogeneity of tumor-infiltrating cells.
Project description:Heterogeneity is a fundamental feature of human tumors and plays a major role in drug resistance and disease progression. In the present study, we selected single-cell-derived cell lines (SCDCLs) derived from Lewis lung carcinoma (LLC1) cells to investigate tumorigenesis and heterogeneity. SCDCLs were generated using limiting dilution. Five SCDCLs were subcutaneously injected into wild-type C57BL/6N mice; however, they displayed significant differences in tumor growth. Subclone SCC1 grew the fastest in vivo, whereas it grew slower in vitro. The growth pattern of SCC2 was the opposite to that of SCC1. Genetic differences in these two subclones showed marked differences in cell adhesion and proliferation. Pathway enrichment results indicate that signal transduction and immune system responses were the most significantly altered functional categories in SCC2 cells compared to SCC1 cells in vitro. The number and activation of CD3+ and CD8+ T cells and NK cells in the tumor tissue of tumor-bearing mice inoculated with SCC2 were significantly higher, whereas those of myeloid cells were significantly lower, than those in the SCC1 and LLC1 groups. Our results suggest that the in vivo growth of two subclones derived from LLC1 was determined by the tumor microenvironment rather than their intrinsic proliferative cell characteristics.
Project description:Tumor associated macrophages (TAMs) are known to play a role in a multitude of processes that facilitate lung cancer growth, including the suppression of tumoricidal immune activation and the absorption of chemotherapeutics. Therefore, deciphering new therapies to reprogram TAMs towards an anti-tumor phenotype is at the cutting-edge of therapy development. The presence of iron-loaded macrophages has been associated with a better prognosis in lung cancer patients. Iron accumulation in macrophages stimulates pro-tumoricidal macrophage activity that triggers cytotoxic T-cell responses in the tumor microenvironment. In this study, we propose super-paramagnetic iron oxide nanoparticles (SPIONs) as a promising anti-lung cancer adjuvant therapy to reduce tumor cell growth. We used SPIONs to target iron to macrophages and observed that SPION-loaded macrophages reduced tumor cell growth due to the oxidative stress. Additionally, we found that SPIONs completely rewire the tumor microenvironment in mice towards an anti-tumor state and that in combination with crizotinib, a lung cancer targeted therapy, SPIONs show an additive effect in decelerating tumor growth
Project description:To better understand the interaction between tumor cells and their microenvironment with regard to mechanisms of invasion, total RNA was isolated from the inner-tumor, tumor invasion front, adjacent lung and distant normal lung tissue from 18 patients with squamous cell lung carcinoma using punch-aided laser capture microdissection. Comprehensive mRNA expression profiles were obtained from microarray expreiments and statistical analyses revealed extensive changes in gene expression when comparing the inner tumor and tumor front with the normal lung and lung front. However, only a few genes were differentially expressed between the tumor front and the inner tumor. The identified genes indicate prostaglandin mediated inflammatory processes at the invasion front Sample for microarray experiments were taken from the inner-tumor, tumor invasion front, adjacent lung and distant normal lung tissue from 18 patients with squamous cell lung carcinoma using punch-aided laser capture microdissection. Sample RNA and Universal Reference RNA (Stratagene, La Jolla, USA) were amplified and separately labeled with both Cy3 and Cy5. All samples were subjected to two-color hybridizations (sample against reference) with color-switch experiments yielding two technical replicates, respectively.
Project description:Tumors comprise a complex microenvironment of interacting malignant and stromal cell types. Much of our understanding of the tumor microenvironment comes from in vitro studies isolating the interactions between malignant cells and a single stromal cell type, often along a single pathway. To develop a deeper understanding of the interactions between cells within human lung tumors we performed RNA-seq profiling of flow-sorted malignant cells, endothelial cells, immune cells, fibroblasts, and bulk cells from freshly resected human primary non-small-cell lung tumors. We mapped the cell-specific differential expression of prognostically-associated secreted factors and cell surface genes, and computationally reconstructed cross-talk between these cell types to generate a novel resource we call the Lung Tumor Microenvironment Interactome (LTMI). Using this resource, we identified and validated a prognostically unfavourable influence of Gremlin-1 production by fibroblasts on proliferation of malignant lung adenocarcinoma cells. We also found a favorable association between infiltration of mast cells and less aggressive tumor cell behavior. These results illustrate the utility of the LTMI as a resource for generating hypotheses concerning tumor-microenvironment interactions that may have prognostic and therapeutic relevance.
Project description:<p>Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer.</p><p><br></p><p><strong>Murine prostate assays</strong> are reported in the current study <strong>MTBLS3317</strong>.</p><p><strong>Murine serum assays</strong> are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3316' rel='noopener noreferrer' target='_blank'><strong>MTBLS3316</strong></a>.</p>
Project description:<p>Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer.</p><p><br></p><p><strong>Murine serum assays</strong> are reported in the current study <strong>MTBLS3316</strong>.</p><p><strong>Murine prostate assays</strong> are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3317' rel='noopener noreferrer' target='_blank'><strong>MTBLS3317</strong></a>.</p>
Project description:Cancer cell metabolism is heavily influenced by microenvironmental factors, including nutrient availability. Therefore, knowledge of microenvironmental nutrient levels is essential to understand tumor metabolism. To measure the extracellular nutrient levels available to tumors, we developed a quantitative metabolomics method to measure the absolute concentrations of >118 metabolites in plasma and tumor interstitial fluid, the extracellular fluid that perfuses tumors. Comparison of nutrient levels in tumor interstitial fluid and plasma revealed that the nutrients available to tumors differ from those present in circulation. Further, by comparing interstitial fluid nutrient levels between autochthonous and transplant models of murine pancreatic and lung adenocarcinoma, we found that tumor type, anatomical location and animal diet affect local nutrient availability. These data provide a comprehensive characterization of the nutrients present in the tumor microenvironment of widely used models of lung and pancreatic cancer and identify factors that influence metabolite levels in tumors.