Abstract
Background. Molecular categorization of lung cancer in medical care is becoming increasingly important on a regular basis. One of the molecular classifications of NSCLC (early-stage NSCLC) supports that tumors of different biological varieties differ in terms of their genomes and clinical characteristics. Methods. Based on published immune cell signatures and early-stage NSCLC gene expression data including cancer genome maps, we used consensus cluster analysis to identify immune molecular subtypes associated with early-stage NSCLC expression subtypes. These subtypes were correlated with early-stage NSCLC expression subtypes. Next, applying a wide range of statistical techniques, we evaluated the link between molecular subtypes and clinical features, immunological microenvironment, and immunotherapy reactivity. Molecular subtypes were defined as a classification of cancerous cells. Results. Multiple RNAseq cross-platform datasets of immune genes were used to identify two molecular subtypes (C1 and C2) of NSCLC, with C1 showing a more favorable prognosis than C2. The results were validated on the CSE datasets. In terms of clinical characteristics, C2 subtype samples with a worse prognosis showed a more advanced tumor stage and higher mortality. C2 showed immuno-infiltrative characteristics but had depletion of T-cells. Biological functions such as EMT were enriched on C2. A low TIDE score in C1 indicated that C1 samples could benefit from taking immunotherapy. C2 were more susceptible to standard chemotherapeutic treatments such paclitaxel, cisplatin, sorafenib, crizotinib, and erlotinib. Conclusion. According to our findings, early-stage NSCLC patients may benefit from receiving treatment with immune checkpoint blockade therapy.
Cite
CITATION STYLE
Yang, Y., Shen, Q., Dong, H., Liu, T., Dong, S., & Li, D. (2022). Early Stage Finding of an Immune-Enhanced Genetic Subtype of Nonsmall Cell Lung Cancer Related with T-Cell Depletion. Evidence-Based Complementary and Alternative Medicine, 2022. https://doi.org/10.1155/2022/6765997
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.