Prognostic value of LRRC4C in Colon and Gastric Cancers correlates with Tumour Microenvironment Immunity

Yang, Xiaofeng; Lei, Purun; Huang, Lijun; Tang, X.; Wei, Bo; H, Wei

doi:10.7150/ijbs.58876

Cited by 9 publications

(11 citation statements)

References 48 publications

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“…While the majority of the 567 SNP-based patient subgroups indeed were associated with no clinical outcome differences as a function of SNP genotype, ∼1% of SNP-based patient subgroups did have an association with either three or four of the four key clinical outcomes assessed. The majority of the SNPs were not associated with any known gene; the few genes that have been studied were in associated with cancers of various tissues ( lrrc4c 43 and linc01317 44 ), xenophagy of bacteria and viruses ( sacm1l 45 ), Ca 2+ channels on endothelial cells ( trpc4 46 ), as well as neuronal dysfunction ( lrrc4c 47 , 48 and slc20a2 49 ). Further study is needed to determine if and how these genes (or SNPs in linkage disequilibrium with these particular SNPs) might be associated with organ dysfunction.…”

Section: Discussionmentioning

confidence: 99%

A common single nucleotide polymorphism is associated with inflammation and critical illness outcomes

El-Dehaibi,

Zamora,

Radder

et al. 2023

iScience

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Section: Discussionmentioning

confidence: 99%

A common single nucleotide polymorphism is associated with inflammation and critical illness outcomes

El-Dehaibi,

Zamora,

Radder

et al. 2023

iScience

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“…Applying the CIBERSORT algorithm to analyze the immune infiltration of tumor tissues in the TCGA database, the infiltration scores of various immune cells in renal clear cell carcinoma were obtained, and the immune cell types related to prognosis were obtained. Moreover, the infiltration scores of immune cells in other tissues, such as head and neck squamous cell carcinoma, gastric cancer, and other tumors [ 29 – 31 ]. Particularly the infiltration of M2 macrophages was studied about tumor growth and invasion; this provides a reference for our research [ 32 – 34 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment

Huang

et al. 2023

BMC Bioinformatics

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Uveal melanoma arises from stromal melanocytes and is the most prevalent primary intraocular tumor in adults. It poses a significant diagnostic and therapeutic challenge due to its high malignancy and early onset of metastases. In recent years, there has been a growing interest in the role of diverse immune cells in tumor cell development and metastasis. Using The Cancer Genome Atlas and the gene expression omnibus databases, and the CIBERSORT method, we investigated the topography of intra-tumor immune infiltration in uveal melanoma in this research. We evaluated the prognosis of uveal melanoma patients using the M2 macrophage immune cell infiltration score in conjunction with clinical tumor patient data. We built a prognostic model based on the distinctive genes of M2 macrophages and combined it with patients’ clinical data in the database; we ran a survival prognostic analysis to authenticate the model’s accuracy. The functional study revealed the importance of macrophage-associated genes in the development of uveal melanoma. Moreover, the reliability of our prediction model was verified by combining tumor mutational load, immune checkpoint, and drug sensitivity, respectively. Our study provides a reference for the follow-up study of uveal melanoma.

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“…Studies have shown that ceRNA regulatory network is related to the tumor immune microenvironment ( 51 ), and various RNAs are also related to tumor immunity ( 52 – 54 ). Through the correlation analysis of the two, we found similar conclusions.…”

Section: Discussionmentioning

confidence: 99%

A novel signature based on CeRNA and immune status predicts prognostic risk and drug sensitivity in gastric cancer patients

Cao

Zhang

et al. 2022

Front. Immunol.

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BackgroundAt present, there is increasing evidence that both competitive endogenous RNAs (ceRNAs) and immune status in the tumor microenvironment (TME) can affect the progression of gastric cancer (GC), and are closely related to the prognosis of patients. However, few studies have linked the two to jointly determine the prognosis of patients with GC. This study aimed to develop a combined prognostic model based on ceRNAs and immune biomarkers.MethodsFirst, the gene expression profiles and clinical information were downloaded from TCGA and GEO databases. Then two ceRNA networks were constructed on the basis of circRNA. Afterwards, the key genes were screened by univariate Cox regression analysis and Lasso regression analysis, and the ceRNA-related prognostic model was constructed by multivariate Cox regression analysis. Next, CIBERSORT and ESTIMATE algorithms were utilized to obtain the immune cell infiltration abundance and stromal/immune score in TME. Furthermore, the correlation between ceRNAs and immunity was found out through co-expression analysis, and another immune-related prognosis model was established. Finally, combining these two models, a comprehensive prognostic model was built and visualized with a nomogram.ResultsThe (circRNA, lncRNA)-miRNA-mRNA regulatory network of GC was constructed. The predictive power of ceRNA-related and immune-related prognosis models was moderate. Co-expression analysis showed that the ceRNA network was correlated with immunity. The integrated model of combined ceRNAs and immunity in the TCGA training set, the AUC values of 1, 3, and 5-year survival rates were 0.78, 0.76, and 0.78, respectively; in the independent external validation set GSE62254, they were 0.81, 0.79, and 0.78 respectively; in GSE15459, they were 0.84, 0.88 and 0.89 respectively. Besides, the prognostic score of the comprehensive model can predict chemotherapeutic drug resistance. Moreover, we found that plasma variant translocation 1 (PVT1) and infiltrating immune cells (mast cells) are worthy of further investigation as independent prognostic factors.ConclusionsTwo ceRNA regulatory networks were constructed based on circRNA. At the same time, a comprehensive prognosis model was established, which has a high clinical significance for prognosis prediction and chemotherapy drug selection of GC patients.

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Prognostic value of LRRC4C in Colon and Gastric Cancers correlates with Tumour Microenvironment Immunity

Cited by 9 publications

References 48 publications

A common single nucleotide polymorphism is associated with inflammation and critical illness outcomes

A common single nucleotide polymorphism is associated with inflammation and critical illness outcomes

Prognostic analysis of uveal melanoma based on the characteristic genes of M2-type macrophages in the tumor microenvironment

A novel signature based on CeRNA and immune status predicts prognostic risk and drug sensitivity in gastric cancer patients

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