SNX20 Expression Correlates with Immune Cell Infiltration and Can Predict Prognosis in Lung Adenocarcinoma

Wu, Gu Jie; Ren, Kuan; He, Min; Xu, Jian; Li, Zhen Qing; Ding, Bo; Xue, Qun

doi:10.2147/ijgm.s337198

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…In the present study, ADGB , SNX20 , ADO , and SULT1A2 were pinpointed as novel causal genes by comprehensive fine‐mapping methods, and some of them were reported to be involved in immune responses. SNX20 , encoding the sorting nexin 20 protein, plays a crucial role in the immune cell infiltration and regulates various immune molecules in the tumor microenvironment 44 . We therefore hypothesize that variants of SNX20 may associated with the immune cell infiltration during the infection of M. leprae .…”

Section: Discussionmentioning

confidence: 96%

“…SNX20, encoding the sorting nexin 20 protein, plays a crucial role in the immune cell infiltration and regulates various immune molecules in the tumor microenvironment. 44 We therefore hypothesize that variants of SNX20 may associated with the immune cell infiltration during the infection of M. leprae. ADO, encoding cysteamine (2-aminoethanethiol) dioxygenase, regulates the accumulation of IL-32, 45 which is critical for NOD2-mediated differentiation of monocytes to CD1b + dendritic cells.…”

Section: Discussionmentioning

confidence: 97%

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Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy

Wang,

Liu,

et al. 2023

MedComm

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To date, genome‐wide association studies (GWASs) have discovered 35 susceptible loci of leprosy; however, the cumulative effects of these loci can only partially explain the overall risk of leprosy, and the causal variants and genes within these loci remain unknown. Here, we conducted out new GWASs in two independent cohorts of 5007 cases and 4579 controls and then a meta‐analysis in these newly generated and multiple previously published (2277 cases and 3159 controls) datasets were performed. Three novel and 15 previously reported risk loci were identified from these datasets, increasing the known leprosy risk loci of explained genetic heritability from 23.0 to 38.5%. A comprehensive fine‐mapping analysis was conducted, and 19 causal variants and 14 causal genes were identified. Specifically, manual checking of epigenomic information from the Epimap database revealed that the causal variants were mainly located within the immune‐relevant or immune‐specific regulatory elements. Furthermore, by using gene‐set, tissue, and cell‐type enrichment analyses, we highlighted the key roles of immune‐related tissues and cells and implicated the PD‐1 signaling pathways in the pathogenetic mechanism of leprosy. Collectively, our study identified candidate causal variants and elucidated the potential regulatory and coding mechanisms for genes associated with leprosy.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 97%

Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy

Wang,

Liu,

et al. 2023

MedComm

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“…Then, by improving the quantification of the editing level, some researchers clarified the relationship between the deletion of miR-99a-5p in cancer tissues and the poor prognosis of surgically resected lung adenocarcinoma specimens; that is, in the existing patient cohort, its deletion was associated with a poor prognosis after complete resection of lung adenocarcinoma [49]. Therefore, changes in microRNA editing in lung adenocarcinoma can be utilized as a potential biomarker to predict the outcomes of patients [69,70].…”

Section: Gene Editing Can Predict Prognosismentioning

confidence: 99%

Gene Editing in Non-Small Cell Lung Cancer: Current Application and Future Perspective

Wang¹,

Fang²,

Wang³

et al. 2022

Oncologie

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Lung cancer is the most common malignant tumor with the highest morbidity and mortality in the world, and non-small cell lung cancer (NSCLC) accounts for the vast majority of cases. At present, its main treatment methods are still traditional surgery, radiotherapy and chemotherapy, with disadvantages such as a high recurrence rate and limited effectiveness. Therefore, a new, better treatment method is urgently needed. Gene editing technology, as a new genetic engineering approach, has shown great potential in gene research, gene therapy and genetic improvement. It has also emerged as a promising treatment for lung cancer. This paper reviews the current research and applications of gene editing technology in NSCLC and other aspects of NSCLC, the therapeutic principle and mechanism of action, and the existing problems and prospects. This review aims to provide a basis for the prevention and treatment of NSCLC in the future and improve the survival rate of lung cancer patients.

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“…Traditional therapeutic methods, including surgical excision, radiotherapy, and chemotherapy, have played an important role in the past several decades. However, the 5-year overall survival (OS) rate of LUAD is still <20% [ 3 ]. This is possible because the gradual progression of LUAD leads to non-specific symptoms in early-stage patients, so most of the patients are diagnosed at an advanced stage with a poor prognosis.…”

Section: Introductionmentioning

confidence: 99%

Effect of PTGES3 on the Prognosis and Immune Regulation in Lung Adenocarcinoma

Jiang

Wei

Xie

et al. 2023

Analytical Cellular Pathology

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Background. PTGES3 is upregulated in multiple cancer types and promotes tumorigenesis and progression. However, the clinical outcome and immune regulation of PTGES3 in lung adenocarcinoma (LUAD) are not fully understood. This study aimed to explore the expression level and prognostic value of PTGES3 and its correlation with potential immunotherapy in LUAD. Methods. All data were obtained from several databases, including the Cancer Genome Atlas database. Firstly, gene and protein expression of PTGES3 were analyzed using Tumor Immune Estimation Resource (TIMER), R software, Clinical Proteomic Tumor Analysis Consortium (CPTAC), and Human Protein Atlas (HPA). Thereafter, survival analysis was conducted using the R software, Gene Expression Profiling Interactive Analysis 2 (GEPIA2), and Kaplan–Meier Plotter. In addition, gene alteration and mutation analyses were conducted using the cBio Cancer Genomics Portal (cBioPortal) and Catalog of Somatic Mutations in Cancer (COSMIC) databases. The molecular mechanisms associated with PTGES3 were assessed via Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), GeneMANIA, GEPIA2, and R software. Lastly, the role of PTGES3 in immune regulation in LUAD was investigated using TIMER, Tumor-Immune System Interaction Database (TISIDB), and SangerBox. Results. The gene and protein expression of PTGES3 were elevated in LUAD tissues and compared to the normal tissues, and the high expression of PTGES3 was correlated with cancer stage and tumor grade. Survival analysis revealed that overexpression of PTGES3 was associated with poor prognosis of LUAD patients. Moreover, gene alteration and mutation analysis revealed the occurrence of several types of PTGES3 gene alterations in LUAD. Moreover, co-expression analysis and cross-analysis revealed that three genes, including CACYBP, HNRNPC, and TCP1, were correlated and interacted with PTGES3. Functional analysis of these genes revealed that PTGES3 was primarily enriched in oocyte meiosis, progesterone-mediated oocyte maturation, and arachidonic acid metabolism pathways. Furthermore, we found that PTGES3 participated in a complex immune regulation network in LUAD. Conclusion. The current study indicated the crucial role of PTGES3 in LUAD prognosis and immune regulation. Altogether, our results suggested that PTGES3 could serve as a promising therapeutic and prognosis biomarker for the LUAD.

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SNX20 Expression Correlates with Immune Cell Infiltration and Can Predict Prognosis in Lung Adenocarcinoma

Cited by 5 publications

References 29 publications

Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy

Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy

Gene Editing in Non-Small Cell Lung Cancer: Current Application and Future Perspective

Effect of PTGES3 on the Prognosis and Immune Regulation in Lung Adenocarcinoma

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