Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma.
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ABSTRACT:
SUBMITTER: Hung MH
PROVIDER: S-EPMC7935900 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Publications
Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma.
Hung Man Hsin MH Lee Joo Sang JS Ma Chi C Diggs Laurence P LP Heinrich Sophia S Chang Ching Wen CW Ma Lichun L Forgues Marshonna M Budhu Anuradha A Chaisaingmongkol Jittiporn J Ruchirawat Mathuros M Ruppin Eytan E Greten Tim F TF Wang Xin Wei XW
Nature communications 20210305 1
T-cell exhaustion denotes a hypofunctional state of T lymphocytes commonly found in cancer, but how tumor cells drive T-cell exhaustion remains elusive. Here, we find T-cell exhaustion linked to overall survival in 675 hepatocellular carcinoma (HCC) patients with diverse ethnicities and etiologies. Integrative omics analyses uncover oncogenic reprograming of HCC methionine recycling with elevated 5-methylthioadenosine (MTA) and S-adenosylmethionine (SAM) to be tightly linked to T-cell exhaustion ...[more]
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Project description:PURPOSE:Radiolabeled methionine (Met) promises to be useful in the positron emission tomography (PET) imaging of hepatocellular carcinoma (HCC). However, its metabolic routes in HCC have not yet been fully understood. In this study, the metabolic pathway(s) of radiolabeled Met in HCC were investigated. PROCEDURES:To simulate the rapid blood clearance of radiolabeled Met, pulse-chase experiments were conducted. L-[methyl-(3)H]-Met or L-[1-(14)C]-Met was pulsed over control or cycloheximide-treated WCH17 cells and rat hepatocytes for 5 min and chased with cold media. The water-soluble, lipid-soluble, DNA, RNA, and protein phases were subsequently extracted and measured from the acid-precipitable and acid-soluble fractions of whole cells. The radioactive metabolites Met, S-adenosylmethionine (SAM), S-adenosylhomocysteine, Met sulfoxide, and Met sulfone were further separated by radio thin layer chromatography. RESULTS:(1) The uptake of L-[methyl-(3)H]-Met in both cell types was higher than that of L-[1-(14)C]-Met. In rat hepatocytes, the uptake of L-[methyl-(3)H]-Met was significantly higher than that of L-[1-(14)C]-Met, which may contribute to its physiologic accumulation in surrounding hepatic tissues seen in PET imaging of HCC using L-[methyl-(11)C]-Met. Compared to rat hepatocytes, WCH17 cells had significantly higher uptake of both radiotracers. (2) For L-[methyl-(3)H]-Met, the major intracellular uptake was found mostly in the protein phase and, to a lesser degree, in the phosphatidylethanolamine (PE) methylation pathway, which is fairly stabilized within the 55-min chase period (the main metabolites were SAM, Met, Met sulfoxide, and Met sulfone). In contrast, the uptake of Met in rat hepatocytes mainly points to phosphatidylcholine (PC) synthesis through the PE methylation pathway (the main metabolite was PC). (3) Both cell types incorporated L-[1-(14)C]-Met predominantly into protein synthesis. (4) Finally, when the protein synthesis pathway was inhibited, the incorporation of SAM derived from L-[methyl-(3)H]-Met to lipid class (PC was the main metabolite) occurred at a reduced rate in WCH17 cells, suggesting that the route may be impaired in HCC. CONCLUSIONS:This study demonstrated that different metabolic pathways of radiolabeled Met exist between HCC and surrounding hepatic tissue and contribute to the patterns of increased uptake of radiolabeled Met in HCC.
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Project description:Tumor endothelial cells (TECs) promote tumor angiogenesis and regulate cytotoxic T cells in the tumor microenvironment. However, the roles of TECs for tumor-infiltrating T-cell in hepatocellular carcinoma (HCC) is still unknown. Here, we aimed to investigate how TECs influenced tumor growth and immune responses of HCC focusing on CD8+ T-cell infiltration and exhaustion. First, TECs were isolated from subcutaneous HCC tumors with murine HCC cell lines (BNL-T) with magnetic selection of CD31+ cells, and normal endothelial cells (NECs) were isolated from normal liver. Second, immunocompetent mice were injected with BNL-T alone, BNL-T + NECs, or BNL-T + TECs for tumor formation, and the functions and exhaustion of tumor-infiltrating CD8+ T cells were evaluated. The mice injected with BNL-T + TEC showed rapid tumorigenesis and a decrease in the number of infiltrating CD8+ T cells. In addition, the percentage of CD8+ T-cell exhaustion was significantly higher in tumors from the administration of BNL-T + TEC. Third, the next-generation sequencing on TECs was performed to identify mRNAs that might be a novel treatment target. The molecule of glycoprotein nonmetastatic melanoma protein B (GPNMB) was identified and the functions of GPNMB was analyzed by silencing of GPNMB expression using small interfering RNAs. The silencing of GPNMB expression in TECs induced the suppression of tumor growth and T-cell exhaustion. In conclusion, TECs induced tumor-infiltrating T-cell exhaustion via GPNMB expression and GPNMB might be a novel therapeutic target in HCC.
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Project description:Given the resistance to conventional treatments and limitations of immune checkpoint blockade therapy in hepatocellular carcinoma (HCC), it is imperative to explore novel prognostic models and biomarkers. The dependence of cancer cell on exogenous methionine, known as Hoffman effect, is a hallmark of HCC, with numerous studies reporting a strong correlation between methionine metabolism and tumor development. Betaine-homocysteine S-methyltransferase (BHMT), a critical component of methionine metabolism pathway, has polymorphisms linking to poor prognosis in multiple cancers. Nevertheless, there is little literature regarding the relationship between methionine metabolism and incidence, mortality of HCC, as well as the function of BHMT in HCC progression. In this study, by analyzing multiple datasets, we constructed a methionine metabolism-related prognostic model and thoroughly investigated the influence of BHMT on the prognosis of HCC. Bioinformatics analysis revealed a marked decrease in BHMT expression in HCC, which was linked to adverse clinical outcomes. CIBERSORT results suggest that BHMT promotes infiltration of M1 macrophages. Our results suggest its potential as an ideal prognostic biomarker for anti PD-L1 immunotherapy. In summary, this study innovatively provides first methionine metabolism-related prognostic model and unveils the tumor suppressive function of BHMT in HCC, providing potential mechanism by which BHMT exert its function.
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Project description:Rationale: High neutrophil infiltration in hepatocellular carcinoma (HCC) is associated with a poor prognosis in patients with HCC. Tumor-derived exosomes (TDEs) have been proven to be important in the reprogramming of tumor-associated neutrophils (TANs), but the roles and mechanisms have not been fully clarified. Methods: The roles of HCC-exosome-reprogrammed neutrophils on tumor progression were evaluated in the DEN/CCl4-induced HCC mouse model by blocking neutrophil infiltration, depleting neutrophil, and neutrophil adoptive transfer. Transcriptome sequencing and flow cytometry were performed to investigate the effects of HCC exosomes on the phenotype and function of neutrophils. The mobilization and apoptosis of neutrophils were evaluated by the Transwell experiment and Annexin V/7-AAD staining, respectively. Moreover, we detected the effects of HCC-exosome-reprogrammed neutrophils on T cells by flow cytometry. Next, we used the NF-κB pathway inhibitor JSH-23 and miR-362-5p inhibitor or mimic to determine the molecular mechanisms. Lastly, we constructed the miR-362-5p sponge to validate its targeted therapeutic potential. Results: We found that HCC exosomes induced neutrophil infiltration and T-cell exhaustion in the livers of DEN/CCl4-induced HCC mice and promoted tumor progression. Blocking neutrophil infiltration and depleting neutrophils diminished these promotive effects of HCC exosomes. In addition, HCC exosome-reprogrammed neutrophils display proinflammatory and protumor phenotypes, and can directly induce T-cell exhaustion in vitro. The transfer of HCC exosome-reprogrammed neutrophils exacerbated tumor progression and induced T-cell exhaustion, as evidenced by the downregulation of IFN-γ and TNF-α, and the upregulation of PD-1 and Tim3 in T cells. Mechanistically, we found that HCC exosomes upregulate the expression of miR-362-5p in neutrophils and activate the NF-κB signaling pathway by targeting CYLD, promoting the survival and recruitment of neutrophils. In HCC mice, blocking miR-362-5p suppressed neutrophil infiltration, attenuated T-cell exhaustion, and suppressed HCC progression. Conclusions: This study clarified the roles of HCC exosomes on neutrophil infiltration and reprogramming and identified a potential target miR-362-5p for HCC treatment.
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Project description:Immunotherapy has ushered in a new era of cancer therapy, and this is also applicable to therapy of hepatocellular carcinoma (HCC). In this context, effective development of therapeutic strategies requires an HCC mouse model with known tumor-associated antigens (TAAs) and an HCC growth reporter. We created such a model using hydrodynamic injection and a transposon system to introduce AKT and NRAS and open reading frames (ORFs) encoding surrogate tumor antigens and luciferase into chromosomes of hepatocytes to induce nodular and diffuse tumors in the liver. TAA-specific CD8+ T cells were detected during HCC progression; however, these showed exhausted-like phenotypes and were unable to control tumor growth. Myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAM) from the tumor microenvironment were found to contribute to the suppression of the CD8+ T-cell response. The transposon-based Akt/N-Ras-induced HCC mouse model we developed enables researchers to monitor tumor growth non-invasively and to quantify and characterize endogenous or adoptively transferred TAA-specific CD8+ T-cell responses. These features make it a suitable preclinical model for exploration and evaluation of immune checkpoint inhibitors and cell-based immunotherapies for HCC treatment.
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Project description:Hepatocellular carcinoma (HCC) is one of the leading malignant diseases worldwide, but therapeutic targets for HCC are lacking. Here, we characterized a significant upregulation of Small Nuclear Ribonucleoprotein Polypeptides B and B1 (SNRPB) in HCC via qRT-PCR, western blotting, tissue microarray and public database analyses. Increased SNRPB expression was positively associated with adjacent organ invasion, tumor size, serum AFP level and poor HCC patient survival. Next, we transfected SNRPB into HCC cells to construct SNRPB-overexpressing cell lines, and short hairpin RNA targeting SNRPB was used to silence SNRPB in HCC cells. Functional studies showed that SNRPB overexpression could promote HCC cell malignant proliferation and stemness maintenance. Inversely, SNRPB knockdown in HCC cells caused inverse effects. Importantly, analysis of alternative splicing by RNA sequencing revealed that SNRPB promoted the formation of AKT3-204 and LDHA-220 splice variants, which activated the Akt pathway and aerobic glycolysis in HCC cells. In conclusion, SNRPB could serve as a prognostic predictor for patients with HCC, and it promotes HCC progression by inducing metabolic reprogramming.
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Project description:Cervical cancer remains the most prevalent gynecological malignant disease. Reprogramming tumor immune metabolism stands out as a novel promising therapeutic target. Here, we identified serine incorporator 2 (SERINC2) as a critical gene which highly expressed in cervical cancer and negatively correlated with clinical outcomes. Through functional assays, SERINC2 was determined to play a pro-tumoral role both in vivo and in vitro. Besides, the growth of cervical cancer cells was found to be largely dependent on serine in a manner influenced by SERINC2. As a serine transport associated protein, SERINC2 knockdown significantly reduced cervical cancer cells' intracellular serine level and altered the serine-associated-lipid metabolism. Immune infiltration analysis revealed that SERINC2 was negatively associated with CD8+ T cell infiltration and function. More importantly, we demonstrated a competitive relation between cancer cells and immune cells brought about by SERINC2. Mechanistically, cancer cells SERINC2 preferentially competed for micro-environmental serine over CD8+ T cells and rendered T cell exhaustion. Overall, SERINC2 remodels cancer development and serine metabolism in the tumor immune microenvironment (TIME), establishing an immunosuppressive and pro-tumoral milieu.
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Project description:T-cell exhaustion (TEX) and high heterogeneity of cancer stem cells (CSCs) are associated with progression, metastasis, and treatment resistance in hepatocellular carcinoma (HCC). Here, we aim to characterize TEX-stemness-related genes (TEXSRGs) and screen for HCC patients who are more sensitive to immunotherapy. The immune cell abundance identifier (ImmuCellAI) was utilized to precisely evaluate the abundance of TEX and screen TEX-related genes. The stemness index (mRNAsi) of samples was analyzed through the one-class logistic regression (OCLR) algorithm. Application of the non-negative matrix decomposition algorithm (NMF) for subtype identification of HCC samples. The different subtypes were assessed for differences in prognosis, tumor microenvironment (TME) landscape, and immunotherapy treatment response. Then, the TEXSRGS-score, which can accurately forecast the survival outcome of HCC patients, was built by LASSO-Cox and multivariate Cox regression, and experimentally validated for the most important TEXSRGs. We also analyzed the expression of TEXSRGs and the infiltration of CD8+ T cells in clinical samples using qRT-PCR and immunohistochemistry (IHC). Based on 146 TEXSRGs, we found two distinct clinical phenotypes with different TEX infiltration abundance, tumor stemness index, enrichment pathways, mutational landscape, and immune cell infiltration through the non-negative matrix decomposition algorithm (NMF), which were confirmed in the ICGC dataset. Utilizing eight TEXSRGs linked to clinical outcome, we created a TEXSRGs-score model to further improve the clinical applicability. Patients can be divided into two groups with substantial differences in the characteristics of immune cell infiltration, TEX infiltration abundance, and survival outcomes. The results of qRT-PCR and IHC analysis showed that PAFAH1B3, ZIC2, and ESR1 were differentially expressed in HCC and normal tissues and that patients with high TEXSRGs-scores had higher TEX infiltration abundance and tumor stemness gene expression. Regarding immunotherapy reaction and immune cell infiltration, patients with various TEXSRGs-score levels had various clinical traits. The outcome and immunotherapy efficacy of patients with low TEXSRGs-score was favorable. In conclusion, we identified two clinical subtypes with different prognoses, TEX infiltration abundance, tumor cell stemness index, and immunotherapy response based on TEXSRGs, and developed and validated a TEXSRGs-score capable of accurately predicting survival outcomes in HCC patients by comprehensive bioinformatics analysis. We believe that the TEXSRGs-score has prospective clinical relevance for prognostic assessment and may help physicians select prospective responders in preference to current immune checkpoint inhibitors (ICIs).
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Project description:BackgroundAdenosine monophosphate-activated protein kinase (AMPK) is associated with the development of liver hepatocellular carcinoma (LIHC). AMPKα2, an α2 subunit of AMPK, is encoded by PRKAA2, and functions as the catalytic core of AMPK. However, the role of AMPKα2 in the LIHC tumor immune environment is unclear.MethodsRNA-seq data were obtained from the Cancer Genome Atlas and Genotype-Tissue Expression databases. Using the single-cell RNA-sequencing dataset for LIHC obtained from the China National Genebank Database, the communication between malignant cells and T cells in response to different PRKAA2 expression patterns was evaluated. In addition, the association between PRKAA2 expression and T-cell evolution during tumor progression was explored using Pseudotime analysis, and the role of PRKAA2 in metabolic reprogramming was explored using the R "scMetabolis" package. Functional experiments were performed in LIHC HepG2 cells.ResultsAMPK subunits were expressed in tissue-specific and substrate-specific patterns. PRKAA2 was highly expressed in LIHC tissues and was associated with poor patient prognosis. Tumors with high PRKAA2 expression displayed an immune cold phenotype. High PRKAA2 expression significantly promoted LIHC immune escape. This result is supported by the following evidence: 1) the inhibition of major histocompatibility complex class I (MHC-I) expression through the regulation of interferon-gamma activity in malignant cells; 2) the promotion of CD8+ T-cell exhaustion and the formation of CD4+ Treg cells in T cells; 3) altered interactions between malignant cells and T cells in the tumor immune environment; and 4) induction of metabolic reprogramming in malignant cells.ConclusionsOur study indicate that PRKAA2 may contribute to LIHC progression by promoting metabolic reprogramming and tumor immune escape through theoretical analysis, which offers a theoretical foundation for developing PRKAA2-based strategies for personalized LIHC treatment.
| S-EPMC10905944 | biostudies-literature
Project description:BackgroundOsteosarcoma (OS) is a rare cancer with a bimodal age distribution that peaks in children and young adults. It has been shown that the expression of programmed cell death protein 1 (PD-1) and programmed death ligand-1 (PD-L1) on tumor-infiltrating immune cells negatively correlates with prognosis of OS patients. However, a comprehensive assessment of the tumor-infiltrating immune cells in OS and their function has not been performed.MethodsCD8+ T cells were isolated from biopsy tissue samples collected from OS patients and control subjects. Mass cytometry, Treg suppression assay, mixed lymphocyte reaction assay, and effector T cell functional assay were performed to analyze the function of tumor-infiltrating T cells. A xenograft metastasis model was established in BALB/c nude mice.ResultsMacrophages and CD3+ T cells comprised most of the tumor-infiltrating immune cells in OS, with a disproportionately higher number of helper CD4+ T cells than effector CD8+ T cells. Whereas the tumor-infiltrating regulatory T cells were functionally intact, the CD8+ T cells showed increased expression of the immune checkpoint receptor (ICR) PD-1 and T cell immunoglobulin and mucin-domain containing 3 (TIM3) and were functionally inactive. TIM3 blockade using a monoclonal antibody restored the T cell alloreactive function of the CD8+ T cells ex vivo. TIM3 blockade in a xenograft model of OS impaired tumor growth in vivo. TIM3 blockade decreased the number of tumor-infiltrating CD4+ T cells while increasing the numbers and functional activation of tumor-infiltrating CD8+ T cells in vivo.ConclusionsThese results highlight that TIM3 blockade might be a viable therapeutic option and should be tested in additional preclinical models.
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