bims-meluca Biomed News
on Metabolism of non-small cell lung carcinoma
Issue of 2022–07–03
ten papers selected by
the Muñoz-Pinedo/Nadal (PReTT) lab, L’Institut d’Investigació Biomèdica de Bellvitge and Cristina Muñoz Pinedo, L’Institut d’Investigació Biomèdica de Bellvitge



  1. J Cell Sci. 2022 Jul 01. pii: jcs.259090. [Epub ahead of print]
      Accelerated aerobic glycolysis is a distinctive metabolic property of cancer cells that confers dependency on glucose for survival. However, the therapeutic strategies targeting this vulnerability are still inefficient and have unacceptable side effects in clinical trials. Therefore, developing biomarkers to predict therapeutic efficacy would be essential to improve the selective targeting of cancer cells. Here, we found that the cell lines sensitive to glucose deprivation have high expression of cystine/glutamate antiporter xCT. We found that cystine uptake and glutamate export through xCT contributed to rapid NADPH depletion under glucose deprivation. This collapse of the redox system oxidized and inactivated AMPK, a major regulator of metabolic adaptation, resulting in a metabolic catastrophe and cell death. While this phenomenon was prevented by pharmacological or genetic inhibition of xCT, overexpression of xCT sensitized resistant cancer cells to glucose deprivation. Taken together, these findings suggest a novel cross-talk between AMPK and xCT for the metabolism and signal transduction and reveal a metabolic vulnerability in xCT-high expressing cancer cells to glucose deprivation.
    Keywords:  AMPK; Cystine; Glucose starvation; NADPH; SLC7A11; xCT
    DOI:  https://doi.org/10.1242/jcs.259090
  2. Front Immunol. 2022 ;13 906889
       Background: Patients with lung adenocarcinoma (LUAD) exhibit significant heterogeneity in therapeutic responses and overall survival (OS). In recent years, accumulating research has uncovered the critical roles of hypoxia in a variety of solid tumors, but its role in LUAD is not currently fully elucidated. This study aims to discover novel insights into the mechanistic and therapeutic implications of the hypoxia genes in LUAD cancers by exploring the potential association between hypoxia and LUAD.
    Methods: Four machine learning approaches were implemented to screen out potential hypoxia-related genes for the prognosis of LUAD based on gene expression profile of LUAD samples obtained from The Cancer Genome Atlas (TCGA), then validated by six cohorts of validation datasets. The risk score derived from the hypoxia-related genes was proven to be an independent factor by using the univariate and multivariate Cox regression analyses and Kaplan-Meier survival analyses. Hypoxia-related mechanisms based on tumor mutational burden (TMB), the immune activity, and therapeutic value were also performed to adequately dig deeper into the clinical value of hypoxia-related genes. Finally, the expression level of hypoxia genes was validated at protein level and clinical samples from LUAD patients at transcript levels.
    Results: All patients in TCGA and GEO-LUAD group were distinctly stratified into low- and high-risk groups based on the risk score. Survival analyses demonstrated that our risk score could serve as a powerful and independent risk factor for OS, and the nomogram also exhibited high accuracy. LUAD patients in high-risk group presented worse OS, lower TMB, and lower immune activity. We found that the model is highly sensitive to immune features. Moreover, we revealed that the hypoxia-related genes had potential therapeutic value for LUAD patients based on the drug sensitivity and chemotherapeutic response prediction. The protein and gene expression levels of 10 selected hypoxia gene also showed significant difference between LUAD tumors tissues and normal tissues. The validation experiment showed that the gene transcript levels of most of their genes were consistent with the levels of their translated proteins.
    Conclusions: Our study might contribute to the optimization of risk stratification for survival and personalized management of LUAD patients by using the hypoxia genes, which will provide a valuable resource that will guide both mechanistic and therapeutic implications of the hypoxia genes in LUAD cancers.
    Keywords:  hypoxia gene; immune landscape; lung adenocarcinoma; overall survival; prognosis; therapeutic implications
    DOI:  https://doi.org/10.3389/fimmu.2022.906889
  3. Biochim Biophys Acta Mol Basis Dis. 2022 Jun 23. pii: S0925-4439(22)00144-2. [Epub ahead of print]1868(10): 166473
      Malignant pleural mesothelioma (MPM), an aggressive cancer associated with exposure to fibrous minerals, can only be diagnosed in the advanced stage because its early symptoms are also connected with other respiratory diseases. Hence, understanding the molecular mechanism and the discrimination of MPM from other lung diseases at an early stage is important to apply effective treatment strategies and for the increase in survival rate. This study aims to develop a new approach for characterization and diagnosis of MPM among lung diseases from serum by Fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis. The detailed spectral characterization studies indicated the changes in lipid biosynthesis and nucleic acids levels in the malignant serum samples. Furthermore, the results showed that healthy, benign exudative effusion, lung cancer, and MPM groups were successfully separated from each other by applying principal component analysis (PCA), support vector machine (SVM), and especially linear discriminant analysis (LDA) to infrared spectra.
    Keywords:  ATR-FTIR spectroscopy; Blood serum; Lung cancer; Mesothelioma; Multivariate analysis; Spectral biomarkers
    DOI:  https://doi.org/10.1016/j.bbadis.2022.166473
  4. Mol Pharm. 2022 Jun 30.
      Despite the recent advances in cancer treatment, lung cancer remains the leading cause of cancer mortality worldwide. Immunotherapies using immune checkpoint inhibitors (ICIs) achieved substantial efficacy in nonsmall cell lung cancer (NSCLC). Currently, most ICIs are still a monoclonal antibody (mAb). Using mAbs or antibody derivatives labeled with radionuclide as the tracers, immunopositron emission tomography (immunoPET) possesses multiple advantages over traditional 18F-FDG PET in imaging lung cancers. ImmunoPET presents excellent potential in detecting, diagnosing, staging, risk stratification, treatment guidance, and recurrence monitoring of lung cancers. By using radiolabeled mAbs, immunoPET can visualize the biodistribution and uptake of ICIs, providing a noninvasive modality for patient stratification and response evaluation. Some novel targets and associated tracers for immunoPET have been discovered and investigated. This Review introduces the value of immunoPET in imaging lung cancers by summarizing both preclinical and clinical evidence. We also emphasize the value of immunoPET in optimizing immunotherapy in NSCLC. Lastly, immunoPET probes developed for imaging small cell lung cancer (SCLC) will also be discussed. Although the major focus is to summarize the immunoPET tracers for lung cancers, we also highlighted several small-molecule PET tracers to give readers a balanced view of the development status.
    Keywords:  immune checkpoint inhibitors; immunoPET; lung cancer; monoclonal antibody
    DOI:  https://doi.org/10.1021/acs.molpharmaceut.2c00353
  5. J Int Med Res. 2022 Jun;50(6): 3000605221105364
       OBJECTIVE: Lung cancer has high morbidity and mortality. We aimed to determine the value of netrin-1 for the diagnosis and chemotherapeutic monitoring of lung cancer.
    METHODS: Thirty pairs of lung cancer tissues and serum were collected. Netrin-1 expression was detected by immunohistochemistry and enzyme-linked immunosorbent assay. Netrin-1 expression was downregulated in A549 cells using small interfering RNA, and the effect of netrin-1 on cisplatin-induced lung cancer cell apoptosis was determined by flow cytometry.
    RESULTS: Netrin-1-positivity was significantly higher in lung cancer tissues than in paracarcinoma tissues and high expression of netrin-1 was closely related to a poor prognosis. Serum netrin-1 levels were also significantly higher in lung cancer patients than in healthy donors, and were higher in patients with lung cancer before the beginning of chemotherapy compared with after the completion of four cycles of chemotherapy. Netrin-1 knockdown increased the rate of cisplatin-induced apoptosis in A549 cells.
    CONCLUSIONS: Netrin-1 expression was increased in tissues and serum from lung cancer patients and decreased after chemotherapy, suggesting that it may be a potential diagnostic marker and indicator of chemosensitivity. Netrin-1 may participate in cisplatin resistance by reducing apoptosis, thus providing a new strategy for addressing chemoresistance in patients with lung cancer.
    Keywords:  Lung cancer; biomarker; chemotherapy resistance; cisplatin; netrin-1; prognosis
    DOI:  https://doi.org/10.1177/03000605221105364
  6. J Immunother Cancer. 2022 Jun;pii: e004280. [Epub ahead of print]10(6):
       BACKGROUND: High activity of poly(ADP-ribose) polymerase-1 (PARP1) in non-small cell lung cancer (NSCLC) cells leads to an increase in immunohistochemically detectable PAR, correlating with poor prognosis in patients with NSCLC, as well as reduced tumor infiltration by cytotoxic T lymphocytes (CTLs). Intrigued by this observation, we decided to determine whether PARP1 activity in NSCLC cells may cause an alteration of anticancer immunosurveillance.
    METHODS: Continuous culture of mouse NSCLC cells in the presence of cisplatin led to the generation of cisplatin-resistant PARhigh clones. As compared with their parental controls, such PARhigh cells formed tumors that were less infiltrated by CTLs when they were injected into immunocompetent mice, suggesting a causative link between high PARP1 activity and compromised immunosurveillance. To confirm this cause-and-effect relationship, we used CRISPR/Cas9 technology to knock out PARP1 in two PARhigh NSCLC mouse cell lines (Lewis lung cancer [LLC] and tissue culture number one [TC1]), showing that the removal of PARP1 indeed restored cisplatin-induced cell death responses.
    RESULTS: PARP1 knockout (PARP1KO) cells became largely resistant to the PARP inhibitor niraparib, meaning that they exhibited less cell death induction, reduced DNA damage response, attenuated metabolic shifts and no induction of PD-L1 and MHC class-I molecules that may affect their immunogenicity. PARhigh tumors implanted in mice responded to niraparib irrespective of the presence or absence of T lymphocytes, suggesting that cancer cell-autonomous effects of niraparib dominate over its possible immunomodulatory action. While PARhigh NSCLC mouse cell lines proliferated similarly in immunocompetent and T cell-deficient mice, PARP1KO cells were strongly affected by the presence of T cells. PARP1KO LLC tumors grew more quickly in immunodeficient than in immunocompetent mice, and PARP1KO TC1 cells could only form tumors in T cell-deficient mice, not in immunocompetent controls. Importantly, as compared with PARhigh controls, the PARP1KO LLC tumors exhibited signs of T cell activation in the immune infiltrate such as higher inducible costimulator (ICOS) expression and lower PD-1 expression on CTLs.
    CONCLUSIONS: These results prove at the genetic level that PARP1 activity within malignant cells modulates the tumor microenvironment.
    Keywords:  Immunologic Surveillance; Lung Neoplasms; Lymphocytes, Tumor-Infiltrating; Tumor Microenvironment
    DOI:  https://doi.org/10.1136/jitc-2021-004280
  7. J Int Med Res. 2022 Jun;50(6): 3000605221108924
       OBJECTIVE: Natural killer (NK) cells play an essential role in the immune response against cancer. However, immune escape mechanisms may cause inferior NK cell activity (NKA) in patients with cancer. This prospective study examined the relationship between NKA and lung cancer in a high-risk cohort.
    METHODS: In a cohort study, 250 participants referred by their general practitioner for suspicion of lung cancer were included. Before clinical investigation, blood was collected into NK Vue tubes, and the level of interferon gamma after 24 hours served as a surrogate marker for NKA.
    RESULTS: Among 250 patients, 79 were diagnosed with lung cancer. No difference in NKA was found between patients with lung cancer and control participants in which lung cancer was ruled out (median 226 pg/mL vs. 450 pg/mL). However, there was a significant difference in NKA between patients with late-stage lung cancer and controls (median 161 pg/mL vs. 450 pg/mL). A linear regression model showed that NKA was not influenced by age, sex or smoking status.
    CONCLUSIONS: The significantly lower NKA in patients with late-stage lung cancer warrants further investigation combining NKA with other biomarkers and examining the potential role of NKA as a marker of disseminated disease.
    Keywords:  Natural killer cell; biomarker; high-risk; interferon gamma; lung cancer; screening
    DOI:  https://doi.org/10.1177/03000605221108924
  8. Cancer Med. 2022 Jun 30.
      FAT4 is an extremely large atypical cadherin with crucial roles in the control of planar cell polarity (PCP) and regulation of the Hippo signaling pathway. Our study aims to clarify the FAT4 expression patterns, as well as the significance of FAT4 in predicting the prognosis and cancer immunity to non-small cell lung cancer (NSCLC). FAT4 mRNA and protein expressions were both underregulated in NSCLC and associated with poor prognosis in both lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). In addition, overexpress FAT4 with jujuboside A (JUA) or knockdown FAT4 with siRNA regulated the metastasis of LUAD through MAPK pathways. Moreover, the FAT4 expression included multiple immunological components to promote an immunosuppressive tumor microenvironment (TME). Furthermore, a study of the TCGA-LUAD cohort's DNA methylation results showed that most FAT4 DNA CpG sites were typically hypermethylated in NSCLC relative to the normal lung tissue. The DNA CpG sites cg25879360 and cg26389756 of FAT4 were found to be strongly associated with FAT4 expression in LUAD through the correlation study. In conclusion, this is the first to report the potential function of FAT4 in NSCLC. Hence, FAT4 could be used as a promising prognostic and immunological biomarker for NSCLC.
    Keywords:  FAT4 gene; MAPK; bioinformatics; biomarker; lung cancer
    DOI:  https://doi.org/10.1002/cam4.4977
  9. Front Oncol. 2022 ;12 833866
       Background: Effective biomarkers for early diagnosis of lung cancer are needed. Previous studies have indicated positive associations between abnormal circulating cytokines and the etiology of lung cancer.
    Methods: Blood samples were obtained from 286 patients with pretreatment lung cancer and 80 healthy volunteers. Circulating cytokine levels were detected with a Luminex assay and enzyme-linked immunosorbent assay (ELISA). Urine samples were obtained from 284 patients and 122 healthy volunteers. CXC chemokine ligand 14 (CXCL14) expression in tumors and nontumor regions of lung tissues from 133 lung cancer cases was detected by immunohistochemical (IHC) staining and immunofluorescence (IF) staining of formalin fixed paraffin-embedded (FFPE) tissues.
    Results: Compared with healthy volunteers, a 65.7-fold increase was observed in the level of CXCL14 in the plasma of lung cancer patients, and a 1.7-fold increase was observed in the level of CXCL14 in the urine of lung cancer patients, achieving a 0.9464 AUC (area under the curve) value and a 0.6476 AUC value for differentiating between lung cancer patients and healthy volunteers, respectively. Stromal CXCL14 expression was significantly associated with advanced pathologic stage (P<0.001), pathologic N stage (P<0.001), and recurrence and metastasis (P=0.014). Moreover, multivariate analysis suggested stromal CXCL14 expression as an independent predictor of DFS and OS.
    Conclusions: Our study demonstrates that CXCL14 might serve as a potential diagnostic and prognostic biomarker in patients with lung cancer.
    Impact: CXCL14 might serve as a potential diagnostic and prognostic biomarker in patients with lung cancer.
    Keywords:  CXCL14; biomarker; diagnosis; early detection; lung cancer
    DOI:  https://doi.org/10.3389/fonc.2022.833866
  10. Cell Signal. 2022 Jun 23. pii: S0898-6568(22)00157-7. [Epub ahead of print]97 110395
      The potential impact of Vav1 on human cancer was only recently acknowledged, as it is detected as a mutant or an overexpressed gene in various cancers, including lung cancer. Vav1, which is normally and exclusively expressed in the hematopoietic system functions as a specific GDP/GTP nucleotide exchange factor (GEF), strictly regulated by tyrosine phosphorylation. To investigate whether Vav1 plays a causative or facilitating role in-vivo in lung cancer development and to examine whether it co-operates with other oncogenes, such as mutant K-Ras, we generated novel mouse strains that express: Vav1 or K-RasG12D in type II pneumocytes, as well as a transgenic mouse line that expresses both Vav1 and K-RasG12D in these cells. Coexpression of Vav1 and K-RasG12D in the lungs dramatically increased malignant lung cancer lesions, and did so significantly faster than K-RasG12D alone, strongly suggesting that these two oncogenes synergize to enhance lung tumor development. Vav1 expression alone had no apparent effects on lung tumorigenesis. The increase in lung cancer in K-RasG12D/Vav1 mice was accompanied by an increase in B-cell, T-cells, and monocyte infiltration in the tumor microenvironment. Concomitantly, ERK phosphorylation was highly elevated in the lungs of K-RasG12 D/Vav1 mice. Also, several cytokines such as IL-4 and IL-13 which play a significant role in the immune system, were elevated in lungs of Vav1 and K-RasG12 D/Vav1 mice. Our findings emphasize the contribution of Vav1 to lung tumor development through its signaling properties.
    Keywords:  ERK; K-Ras; Lung Cancer; Vav1
    DOI:  https://doi.org/10.1016/j.cellsig.2022.110395