AI Article Synopsis
- Colon cancer, a common and aggressive tumor with a worsening prognosis, is being targeted with a new immunotherapy approach, emphasizing the need for early diagnosis and accurate prediction of outcomes.
- The study utilized transcriptome and clinical data to identify differentially expressed immune genes and transcription factors in colon cancer patients, establishing an immune-related prognostic model composed of twelve key immune genes.
- The model was validated as a reliable independent prognostic tool, correlating higher risk scores with increased presence of certain immune cell types, enhancing the understanding of colon cancer's immune landscape.
Article Abstract
Background: Colon cancer is a common and highly malignant tumor. Its incidence is increasing rapidly with poor prognosis. At present, immunotherapy is a rapidly developing treatment for colon cancer. The aim of this study was to construct a prognostic risk model based on immune genes for early diagnosis and accurate prognostic prediction of colon cancer.
Methods: Transcriptome data and clinical data were downloaded from the cancer Genome Atlas database. Immunity genes were obtained from ImmPort database. The differentially expressed transcription factors (TFs) were obtained from Cistrome database. Differentially expressed (DE) immune genes were identified in 473 cases of colon cancer and 41 cases of normal adjacent tissues. An immune-related prognostic model of colon cancer was established and its clinical applicability was verified. Among 318 tumor-related transcription factors, differentially expressed transcription factors were finally obtained, and a regulatory network was constructed according to the up-down regulatory relationship.
Results: A total of 477 DE immune genes (180 up-regulated and 297 down-regulated) were detected. We developed and validated twelve immune gene models for colon cancer, including SLC10A2, FABP4, FGF2, CCL28, IGKV1-6, IGLV6-57, ESM1, UCN, UTS2, VIP, IL1RL2, NGFR. The model was proved to be an independent prognostic variable with good prognostic ability. A total of 68 DE TFs (40 up-regulated and 23 down-regulated) were obtained. The regulation network between TF and immune genes was plotted by using TF as source node and immune genes as target node. In addition, Macrophage, Myeloid Dendritic cell and CD4 T cell increased with the increase of risk score.
Conclusion: We developed and validated twelve immune gene models for colon cancer, including SLC10A2, FABP4, FGF2, CCL28, IGKV1-6, IGLV6-57, ESM1, UCN, UTS2, VIP, IL1RL2, NGFR. This model can be used as a tool variable to predict the prognosis of colon cancer.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996977 | PMC |
| http://dx.doi.org/10.1186/s12876-023-02679-6 | DOI Listing |
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