Background: Cutaneous T-cell lymphoma (CTCL) is highly heterogeneous, and its prognosis is closely related to the disease stage. The tumor microenvironment (TME) is an important component of tumor tissue, driving cancer cell growth, progression, and metastasis. However, the diagnostic value of TME in CTCL has not yet been studied in-depth. To date, no study has performed a comprehensive evaluation of the significance of the TME in CTCL.
Methods: Using xCell methods based on bulk RNA sequencing data, we inferred immune cell fraction in the TME in 126 patients and assessed the prognostic importance of immune cells. Consensus clustering was performed to determine the TME subtypes and characterize the transcriptome of each subtype. Based on the TME subtypes, we established the disease progression model using random forest algorithms and logistic regression. The efficacy of the model was examined using an additional 49-patient cohort. Finally, we validated our finding at the protein level using immunochemistry in a 16-patient cohort.
Results: Patients with advanced CTCL presented with a more active immunity overall than those with early stage. Random forest algorithms revealed that the immune cells CD4, macrophages, and dendritic cells (DCs) were the most effective prognosis predictors. Therefore, we constructed a risk model using logistic regression based on these immune cells. The TME score could be used to effectively predict disease conditions in three datasets with the AUC of 0.9414, 0.7912, and 0.7665, respectively. Immunochemistry at the protein level revealed that helper T cells and the macrophage markers CD4 and CD68 could successfully distinguish different CTCL stages in patients, whereas the DC marker langerin showed no change with disease progression.
Conclusion: We found advanced-stage CTCL was associated with an active immune microenvironment, and the immune signatures CD4 and CD68 showed a relatively high accuracy in predicting CTCL disease progression.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185059 | PMC |
Front Immunol
December 2024
Department of General Surgery, Medical School of Nantong University, & Department of Gastrointestinal Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Background: Gastric cancer (GC) is one of the most common malignant tumors and is associated with poor prognosis. To improve the prognosis of GC patients, an effective immune-related prognostic biomarker is urgent. Here, we aim to explore the correlation between the expression of procalcitonin gamma subfamily A, 10 (PCDHGA10) and clinicopathological characteristics, especially its relation with tumor-infiltrating immune cells (TILs) in GC.
View Article and Find Full Text PDFExp Cell Res
December 2024
Institute of Clinical Pharmacology, Key Laboratory of Anti-inflammatory and Immune Medicine (Anhui Medical University), Ministry of Education, Collaborative Innovation Center of Anti-inflammatory and Immune Medicine, Anhui Medical University, Anhui, 230032, China; The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), Hefei, 230061, China. Electronic address:
Cardiovascular disease (CVD) induced by atherosclerosis (AS) is the main fatal complication of systemic lupus erythematosus (SLE). Establishing an appropriate animal model of SLE with AS is of great value for investigating the pathogenesis and therapeutic targets of SLE-CVD. In the present work, pristane was injected intraperitoneally into C57BL/6J mice to establish the SLE model and Bacillus Calmette-Guerin Vaccine (BCG) was injected intradermally one month later to enhance immunity and induce AS.
View Article and Find Full Text PDFTranspl Int
December 2024
Department of Immunology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.
PLoS One
November 2024
Division of personalised oncology, Walter and Eliza Hall Institute, Melbourne, Australia.
Background: Immunotherapy has demonstrated limited activity in prostate cancer to date. This likely reflects an immune suppressive tumor microenvironment (TME), with previous studies suggesting low PD-L1 expression and a sparse immune cell infiltrate. We aimed to further characterise the immune TME in primary prostate cancer and correlate immune subset densities with clinical outcomes.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Dr. Senckenberg Institutes of Pathology & Human Genetics, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!