bims-meluca Biomed News
on Metabolism of non-small cell lung carcinoma
Issue of 2025–03–16
two papers selected by
the Muñoz-Pinedo/Nadal (PReTT) lab, L’Institut d’Investigació Biomèdica de Bellvitge



  1. Future Sci OA. 2025 Dec;11(1): 2476870
       BACKGROUND: Lung cancer has high mortality rates globally, with inflammatory processes playing a pivotal role in NSCLC progression. Peripheral blood inflammation markers offer promise for NSCLC risk assessment and prediction.
    METHODS: A retrospective case-control study included 50 NSCLC patients and 50 healthy individuals admitted for routine health examinations as controls. Clinical data were collected, and blood routine tests were conducted on the first day of admission. We compared white blood cells, neutrophils, lymphocytes, monocytes, platelets, NLR (Neutrophil-to-Lymphocyte Ratio), LMR (Lymphocyte-to-Monocyte Ratio), PLR (Platelet-to-Lymphocyte Ratio), dNLR (derived NLR), and SII (Systemic Immune-inflammation Index). Logistic regression and ROC curve analysis were used to evaluate their predictive value.
    RESULTS: NLR was significantly higher in NSCLC patients than in healthy controls, and elevated NLR was strongly associated with increased odds of having NSCLC. Neutrophil, lymphocyte, and monocyte counts also contributed to the odds of having NSCLC. NLR showed the highest predictive value with an AUC of 0.911, indicating excellent accuracy.increased odds of having NSCLC.
    CONCLUSIONS: Our findings suggest that peripheral blood inflammation markers, particularly the NLR, may have potential utility in risk assessment and prediction for NSCLC. These markers warrant further investigation to explore their potential role in early diagnosis and monitoring of NSCLC.
    Keywords:  Non-small cell lung cancer (NSCLC); biomarkers; inflammatory response; lung cancer; neutrophil-to-lymphocyte ratio (NLR); peripheral blood inflammation markers; prognosis; risk assessment
    DOI:  https://doi.org/10.1080/20565623.2025.2476870
  2. J Inflamm Res. 2025 ;18 3333-3347
       Background: Studies have demonstrated that histone deacetylase 1 (HDAC1) enables cancer cells to evade killing mediated by cytotoxic T lymphocytes. However, there are no studies on the immunological aspects of HDAC1 in non-small cell lung cancer (NSCLC).
    Methods: In this research, we used the Cancer Genome Atlas (TCGA) public database combined with tissue microarray (TMA) to investigate HDAC1 expression and prognosis in NSCLC. According to the median value of HDAC1 expression in the TCGA dataset, samples of patients with NSCLC were classified into high- and low-expression cohorts. Subsequently, the biological characteristics of HDAC1 in high- and low-expression cohorts in terms of signaling pathways, immune cell infiltration, immune cell function, and genomic stability were investigated to better understand the effect of HDAC1 in the tumor microenvironment (TME) of NSCLC. Additionally, we selected tissue samples with HDAC1 overexpression in TMA2 and performed immunohistochemical staining of CD8+ T cells to observe the distribution of CD8+ T cells in the tumor.
    Results: The findings revealed that overexpression of HDAC1 in NSCLC was associated with poor prognosis. Analysis of signaling pathway enrichment indicated that HDAC1 downregulated immune-related signaling pathways in NSCLC. Immune cell infiltration, immune cell function, and genomic stability analyses suggested that the TME alteration mediated by HDAC1 in the high-expression cohort was consistent with the "immune desert" phenotype. Furthermore, CD8+ T immunohistochemical staining experiments of tissue samples with HDAC1 overexpression in NSCLC revealed few CD8+ T cells distributed in the tumor parenchyma and interstitium.
    Conclusion: Conclusively, our findings from several biological analyses revealed that HDAC1 is overexpressed in NSCLC and induces TME immunosuppression.
    Keywords:  HDAC1; immunosuppression; non-small cell lung cancer; prognosis; tumor microenvironment
    DOI:  https://doi.org/10.2147/JIR.S509316