Identification of the Prognostic Value and Clinical Significance of Interferon Regulatory Factors (IRFs) in Colon Adenocarcinoma

Yuemaier, Munire; Zhou, Zhengdong; Zhou, Youxu; Wu, Cheng‐Wen; Li, Fēi; Liang, Xiaodan; Kang, Haihan; Shen, Dongfang; Gao, Fei; Lin, Jinxi

doi:10.12659/msm.927073

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…These two were consistent with our study. Moreover, IRF3 and IRF7 were linked to a poor prognosis in colon adenocarcinoma [20].…”

Section: Discussionmentioning

confidence: 99%

“…Tumor-infiltrating lymphocytes could serve as a biomarker for predicting sentinel lymph node status and cancer patients' survival [18,19]. The previous study has revealed close correlation between immune infiltration analysis and IRFs in cancers [20]. In our study, a comprehensive detection of the correlation between IRFs and immune cell infiltration in PC was conducted using TIMER.…”

Section: Immune Cell Infiltration Analysis Of Irfs In Pc Patientsmentioning

confidence: 97%

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Comprehensive analysis of expression profile and prognostic significance of interferon regulatory factors in pancreatic cancer

Zhang

et al. 2022

BMC Genom Data

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Background Pancreatic cancer (PC) is a highly lethal disease and an increasing cause of cancer-associated mortality worldwide. Interferon regulatory factors (IRFs) play vital roles in immune response and tumor cellular biological processes. However, the specific functions of IRFs in PC and tumor immune response are far from systematically clarified. This study aimed to explorer the expression profile, prognostic significance, and biological function of IRFs in PC. Results We observed that the levels of IRF2, 6, 7, 8, and 9 were elevated in tumor compared to normal tissues in PC. IRF7 expression was significantly associated with patients’ pathology stage in PC. PC patients with high IRF2, low IRF3, and high IRF6 levels had significantly poorer overall survival. High mRNA expression, amplification and, deep deletion were the three most common types of genetic alterations of IRFs in PC. Low expression of IRF2, 4, 5, and 8 was resistant to most of the drugs or small molecules from Genomics of Drug Sensitivity in Cancer. Moreover, IRFs were positively correlated with the abundance of tumor infiltrating immune cells in PC, including B cells, CD8+ T cells, CD4+ T cells, macrophages, Neutrophil, and Dendritic cells. Functional analysis indicated that IRFs were involved in T cell receptor signaling pathway, immune response, and Toll-like receptor signaling pathway. Conclusions Our results indicated that certain IRFs could serve as potential therapeutic targets and prognostic biomarkers for PC patients. Further basic and clinical studies are needed to validate our findings and generalize the clinical application of IRFs in PC.

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“…These two were consistent with our study. Moreover, IRF3 and IRF7 were linked to a poor prognosis in colon adenocarcinoma [20].…”

Section: Discussionmentioning

confidence: 99%

Section: Immune Cell Infiltration Analysis Of Irfs In Pc Patientsmentioning

confidence: 97%

Comprehensive analysis of expression profile and prognostic significance of interferon regulatory factors in pancreatic cancer

Zhang

et al. 2022

BMC Genom Data

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Immune response and inflammation in cancer health disparities

2022

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A NOD-Like Receptor Signaling-Based Gene Signature Identified as a Novel Prognostic Biomarker for Predicting Overall Survival of Colorectal Cancer Patients

Zuo

Yan

et al. 2022

CBIO

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Background: Colorectal cancer (CRC) is the most frequently diagnosed gastrointestinal tract malignant tumor worldwide, which is closely associated with distant metastasis and poor prognosis. Due to high degree of heterogeneity, reliable prognostic biomarkers are urgently needed to guide the therapeutic intervention of CRC patients. Objective: The present study aimed to develop a NOD-like receptors (NLRs) signaling-based gene signature that can successfully predict the overall survival of CRC patients. Methods: Firstly, differentially expressed NLR signaling-related genes were identified between primary and metastatic human CRC samples. Genes with prognostic value were then screened through univariate Cox regression analysis. Next, the NLR signaling-based prognostic signature was constructed by LASSO-penalized Cox regression analysis, and its predictive ability was further confirmed in an independent cohort. Furthermore, functional studies including GO, GSEA, ssGSEA and chemotherapeutic response analyses were performed to explore the role of the NLR signaling-based signature in CRC pathogenesis and therapy. Results: The established prognostic signature that consisted of 7 NLR signaling-related genes can effectively stratify the high-risk and low-risk CRC patients in both training and validation cohorts. Moreover, the signature proved to be an independent indicator of overall survival in CRC patients. Functional annotation and chemotherapeutic response analyses showed that the signature was closely associated with immune status and chemotherapeutic sensitivity of CRC patients. Conclusion: The novel NLR signaling-based gene signature could serve as a potential tool for survival prediction and therapeutic evaluation, thereby contributing to the personalized prognostic management of CRC patients.

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Identification of the Prognostic Value and Clinical Significance of Interferon Regulatory Factors (IRFs) in Colon Adenocarcinoma

Cited by 3 publications

References 21 publications

Comprehensive analysis of expression profile and prognostic significance of interferon regulatory factors in pancreatic cancer

Comprehensive analysis of expression profile and prognostic significance of interferon regulatory factors in pancreatic cancer

Immune response and inflammation in cancer health disparities

A NOD-Like Receptor Signaling-Based Gene Signature Identified as a Novel Prognostic Biomarker for Predicting Overall Survival of Colorectal Cancer Patients

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