Background: The early diagnosis and management of lung adenocarcinoma co-existing with tuberculosis (LAC-TB) presents significant challenges in clinical settings. This is compounded by a paucity of robust clinical evidence elucidating the interactions between these two conditions.
Methods: This study included 14 patients diagnosed with LAC-TB, with an equal distribution among those with pulmonary tuberculosis (TB) and those with peripheral lymph node TB. Controls included patients with simple TB and those with lung adenocarcinoma (LAC). Histopathologic examinations confirmed typical changes in each group. Immunohistochemistry analyzed immune markers, focusing on PD-L1, while genomic analysis identified differential mutant genes.
Results: Pathological evaluations showed that LAC-TB and LAC groups expressed TTF-1 and Napsin A in their adenocarcinoma specimens. Notably, a higher proportion of patients in the LAC-TB group had a Ki-67 proliferation index of ≥10%. Subsequent Molecular analyses revealed significant differences in RALGAPA1 gene expression, with the LAC-TB group also exhibiting a greater median count of missense mutations, single nucleotide polymorphisms, and overall mutations, suggesting a higher malignancy level than the LAC group. Additionally, the LAC-TB group showed an increased tumor mutational burden, indicating a potentially better response to immunotherapy. Immunohistochemical assessments indicated that (MTB) infection correlated with reduced infiltration of T cells and CD4 T cells, alongside an upregulation of PD-L1 expression in LAC. Notably, PD-L1 was strongly expressed in the TB granuloma and surrounding areas.
Conclusion: Our findings suggest that MTB infection may increase the malignancy of LAC, with the pronounced expression of PD-L1 in granuloma regions constituting a pivotal mechanism underlying this relationship.
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http://dx.doi.org/10.3389/fimmu.2025.1537520 | DOI Listing |
Histol Histopathol
February 2025
Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Non-small cell lung cancer (NSCLC) is a complex disease with diverse clinical and molecular characteristics. Since the discovery of the oncogenic neurotrophic receptor tyrosine kinase (NTRK) gene fusion in colorectal cancer in 1986, its understanding has gradually progressed. NTRK's relevance is crucial to understanding some tumor development and how specific tyrosine receptor kinase inhibitors (TRKI) work.
View Article and Find Full Text PDFFront Immunol
March 2025
Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Heliyon
February 2025
Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Although Immunotherapy has emerged as an efficient treatment in lung carcinoma, merely a subset of lung adenocarcinoma (LUAD) patients could be benefited from it. Increasing evidence revealed that tumor immune cell infiltrating (ICI) in the tumor microenvironment (TME) is highly related to patient prognosis and characteristics of the tumor. Thus far, the immune cell infiltration patterns of LUAD remain unclear.
View Article and Find Full Text PDFWorld J Surg Oncol
March 2025
Department of Radiology, School of Medicine, Zhongshan Hospital of Xiamen University, Xiamen University, Xiamen, China.
Objective: To discuss CT imaging characteristics of invasive adenocarcinoma of lung(IACL).
Methods: CT revealed the nodule of lung which pathology confirmed as IACL of 290 cases. Imaging data were retrospectively analyzed by dividing into high-risk group of 115 cases and low-risk group of 175.
Introduction: The early lung adenocarcinoma detection rate has increased with the development and application of low-dose computed tomography. However, overdiagnosis and overtreatment are frequent. Here, we established a cytology grading system for adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), and minimally invasive adenocarcinoma (MIA) and correlated the grading system with computed tomography (CT) features of ground-glass nodules (GGNs) to predict their biological behavior.
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