bims-meluca Biomed News
on Metabolism of non-small cell lung carcinoma
Issue of 2020‒05‒10
five papers selected by
Cristina Muñoz Pinedo
L’Institut d’Investigació Biomèdica de Bellvitge

  1. Thorac Cancer. 2020 May 05.
    Zhang K, Wang L, Wei A, Jia X, Liu X.
      BACKGROUND: CM082 is a novel angiogenesis inhibitor targeting vascular endothelial growth factor receptor (VEGFR) and platelet-derived growth factor receptor (PDGFR). The purpose of this research was to evaluate the antitumor activity of CM082 combined with gefitinib on epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer (NSCLC) in vitro and in vivo.METHODS: The effect of CM082 on human umbilical vein endothelial cells (HUVECs) was assessed. In vitro and in vivo efficacy of CM082 combined with gefitinib on EGFR NSCLC cell lines (HCC827 harboring E746_A750 deletion and H3255 harboring L858R) and a xenograft model was evaluated.
    RESULTS: CM082 inhibited VEGF-induced cell growth, phosphorylation of VEGFR and downstream signaling molecules, tube formation, and cell migration of HUVECs. Furthermore, CM082 combined with gefitinib was more effective in inhibiting growth and colony formation and inducing apoptosis of H3255 and HCC827 cells in vitro than monotherapy. Moreover, tumor growth inhibition by the combination in a H3255 xenograft model was 107.7% more than that by gefitinib (93.6%) (P < 0.0001) and CM082 (51.4%) (P < 0.0001) alone. In addition, coadministration had a better effect on inhibiting cell proliferation, inducing apoptosis, and inhibiting the expression of CD31 and VEGF-A. The combination therapy had a stronger inhibition effect on STAT3 phosphorylation than monotherapy.
    CONCLUSIONS: CM082, a novel angiogenesis inhibitor, enhances the antitumor activity of gefitinib on EGFR mutant NSCLC by inhibiting proliferation and angiogenesis and promoting apoptosis of tumor cells.
    KEY POINTS: Significant findings of the study CM082, a novel angiogenesis inhibitor, enhances the antitumor activity of gefitinib on EGFR mutant NSCLC by inhibiting proliferation and angiogenesis and promoting apoptosis of tumor cells. What this study adds These findings justify evaluation of the efficacy of CM082 combined with gefitinib in patients with EGFR mutant advanced NSCLC in clinical trials.
    Keywords:  Angiogenesis inhibitor; combination therapy; gefitinib; non-small cell lung cancer
  2. PLoS One. 2020 ;15(5): e0232272
    Ruiying C, Zeyun L, Yongliang Y, Zijia Z, Ji Z, Xin T, Xiaojian Z.
      Non-small cell lung cancer (NSCLC) remains a leading cause of cancer death globally. More accurate and reliable diagnostic methods/biomarkers are urgently needed. Joint application of metabolomics and transcriptomics technologies possesses the high efficiency of identifying key metabolic pathways and functional genes in lung cancer patients. In this study, we performed an untargeted metabolomics analysis of 142 NSCLC patients and 159 healthy controls; 35 identified metabolites were significantly different between NSCLC patients and healthy controls, of which 6 metabolites (hypoxanthine, inosine, L-tryptophan, indoleacrylic acid, acyl-carnitine C10:1, and lysoPC(18:2)) were chosen as combinational potential biomarkers for NSCLC. The area under the curve (AUC) value, sensitivity (SE), and specificity (SP) of these six biomarkers were 0.99, 0.98, and 0.99, respectively. Potential diagnostic implications of the metabolic characteristics in NSCLC was studied. The metabolomics results were further verified by transcriptomics analysis of 1027 NSCLC patients and 108 adjacent peritumoral tissues from TCGA database. This analysis identified 2202 genes with significantly different expressions in cancer cells compared to normal controls, which in turn defined pathways implicated in the metabolism of the compounds revealed by metabolomics analysis. We built a fully connected network of metabolites and genes, which shows a good correspondence between the transcriptome analysis and the metabolites selected for diagnosis. In conclusion, this work provides evidence that the metabolic biomarkers identified may be used for NSCLC diagnosis and screening. Comprehensive analysis of metabolomics and transcriptomics data offered a validated and comprehensive understanding of metabolism in NSCLC.
  3. Onco Targets Ther. 2020 ;13 3209-3221
    Liu W, Yu X, Zhou L, Li J, Li M, Li W, Gao F.
      Background: Addiction to aerobic glycolysis is a common metabolic phenotype in human non-small cell lung cancer (NSCLC). The natural product Sinomenine (Sin) exhibits significant anti-tumor effects in various human cancers. However, the underlying mechanism remains elusive.Methods: The inhibitory effect of Sin on NSCLC cells was determined by MTS and soft agar assays. The glycolysis efficacy of NSCLC cells was examined by glucose uptake and lactate production. The activation of Akt signaling and the protein level of hexokinases II (HK2) were examined by immunoblot (IB), qRT-PCR, and immunohistochemical staining (IHC). The in vivo anti-tumor effect of Sin was validated by the xenograft mouse model.
    Results: We showed that HK2 is highly expressed in NSCLC tissues and cell lines. Depletion of HK2 suppressed cell viability, anchorage-independent colony formation, and xenograft tumor growth. Sinomenine exhibited a profound inhibitory effect on NSCLC cells by reducing HK2-mediated glycolysis both in vitro and in vivo. Ectopic overexpression of HK2 compromised these anti-tumor efficacies in sinomenine-treated NSCLC cells. Moreover, we revealed that sinomenine decreased Akt activity, which caused the down-regulation of HK2-mediated glycolysis. Knockdown of Akt reduced HK2 protein level and impaired glycolysis. In contrast, overexpression of constitutively activated Akt1 reversed this phenotype.
    Conclusion: This study suggests that targeting HK2-mediated aerobic glycolysis is required for sinomenine-mediated anti-tumor activity.
    Keywords:  glycolysis; hexokinase 2; non-small cell lung cancer; sinomenine
  4. JNCI Cancer Spectr. 2020 Apr;4(2): pkaa007
    Leitner BP, Perry RJ.
      Obesity confers an increased incidence and poorer clinical prognosis in more than 10 cancer types. Paradoxically, obesity may provide protection from poor outcomes in lung cancer. Mechanisms for the obesity-cancer links are not fully elucidated, with altered glucose metabolism being a promising candidate. Using 18F-fluorodeoxyglucose positron-emission-tomography/computed tomography images from The Cancer Imaging Archive, we explored the relationship between body mass index (BMI) and glucose metabolism in several cancers. In 188 patients (BMI mean [SD] = 27.7 [5.1], range = 17.4-49.3 kg/m2), higher BMI was associated with greater tumor glucose uptake in breast cancer (r = 0.36; P = .02) and with lower tumor glucose uptake in non-small cell lung cancer (r = -0.26; P = .048) using two-sided Pearson correlations. No relationship was observed in soft tissue sarcoma or squamous cell carcinoma. Harnessing the National Cancer Institute's open-access database, we demonstrate altered tumor glucose metabolism as a potential mechanism for the detrimental and protective effects of obesity on breast and lung cancer, respectively.
  5. Anticancer Res. 2020 May;40(5): 2787-2793
    Kanai T, Suzuki H, Yoshida H, Matsushita A, Kawasumi H, Samejima Y, Noda Y, Nasu S, Tanaka A, Morishita N, Hashimoto S, Kawahara K, Tamura Y, Okamoto N, Tanaka T, Hirashima T.
      BACKGROUND/AIM: We aimed to study the association between the quantitative interferon-gamma (IFN-γ) levels and clinical outcomes in non-small-cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs).PATIENTS AND METHODS: Sample collection for IFN-γ release assay (IGRA) was performed within 14 days before treatment (T1), on day 22±7 (T3), and on day 43±7 (T4). The stored specimens over 10 IU/ml in IGRA were re-examined using the dilution method (with saline as the dilution medium). The patients were classified into Lower and Higher groups by 7.06 IU/ml as a cut-off of IFN-γ levels at T1.
    RESULTS: Median progression-free survival in the Higher group was significantly longer than that in the Lower group. IFN-γ levels in the non-progression disease group were significantly higher than those in the progression disease group. IFN-γ levels at T1 in patients with immune-related adverse events were significantly lower compared to those at T3.
    CONCLUSION: IFN-γ could be a biomarker for NSCLC patients receiving ICIs.
    Keywords:  Interferon-gamma; immune checkpoint inhibitor; immune-related adverse event; non-small-cell lung cancer