Prognostic Value of LHFPL Tetraspan Subfamily Member 6 (LHFPL6) in Gastric Cancer: A Study Based on Bioinformatics Analysis and Experimental Validation

Liu, Yuanjie; Yin, Sheng‐Yan; Zeng, Shuhong; Hu, Yi-dou; Wang, Meng-Qi; Huang, Pan; Li, Jie-Pin

doi:10.2147/pgpm.s332345

Cited by 3 publications

(3 citation statements)

References 57 publications

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“…However, the role of GNLY in cancer remains unclear. LHFPL6 is a subset of the superfamily of tetraspan transmembrane protein-encoding genes, and its overexpression is associated with some clinicopathological features and poor prognosis of gastric cancer, which is an independent prognostic factor for gastric cancer [35]. APOL6 is a protein-coding gene that encodes the Apolipoprotein L6.…”

Section: Discussionmentioning

confidence: 99%

A risk model based on the tumor infiltrating CD8+T cells correlated with the prognosis and therapy in bladder urothelial carcinoma

Xin

Cao

et al. 2023

Preprint

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Background: With growing evidence that immune cells contribute greatly in tumor progression, identifying their role in tumor prognosis and therapy is crucial. Our aim is to comprehensively characterize tumor infiltration immune cells in BLCA and identify valuable immune cells and gene model related to prognosis and therapy in BLCA. Methods: Firstly, after comparing the relationship between the abundance of infiltrating immune cells and prognosis, CD8+T cell was selected to establish the risk model, which was constructed based on five key genes(GNLY, LHFPL6, APOL6, LRP1, and UBA7). Then ROC curve was drawn to demonstrate the risk model own high prognosis predictive value in BLCA. Results: Our results of correlation analysis showed that riskscore were negatively correlated with several steps of the tumor immune cycle, such as infiltration of tumor tissue T cells, and positively correlated with the fourth step of the cancer immune cycle. Furthermore, riskscore was negatively correlated with the expression of CD8,CD274,IFNG, Merck18, and several common immune checkpoint (TIGIT, CTLA4, HAVCR2 LAG3, PDCD). Moreover, tumor exclusion score and Tumor Immune Dysfunction and Exclusion (TIDE) score were higher in high-score group than that in low-score group. Importantly, riskscore was negatively correlated with the enrichment score of immunotherapy-related pathways, and the therapeutic benefit of low-score group was greater than that in high-score group. A total of 171 chemotherapy and targeted drugs were identified, of which the high-score group were more sensitive to 82 drugs and the low-score group were more sensitive to the other 89 drugs. Among the commonly used chemotherapy drugs for BLCA, such as cisplatin and doxorubicin, the IC50 in low-score group was smaller and more sensitive. Subsequently, immunohistochemistry was used to make a verification on the risk model. Finally, we explored the relationship between APOL6 expression and clinicopathological characteristics and found that the expression of APOL6 was positively correlated with tumor grade. Conclusions: Our results confirmed that the tumor infiltration CD8+T cells played a crucial role in the prognosis and therapy of BLCA,which may provide us a new inspiration and direction in prognosic prediction and therapy of bladder cancer in future.

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Section: Discussionmentioning

confidence: 99%

A risk model based on the tumor infiltrating CD8+T cells correlated with the prognosis and therapy in bladder urothelial carcinoma

Xin

Cao

et al. 2023

Preprint

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“…Using LASSO regression analysis, univariate COX regression, and co-expression analysis of m7G-related mRNAs and lncRNAs, we obtained a list of co-expression networks and forms of prognostic m7G-lncRNAs. Then, the m7G-lncRNAs co-expression relationships among the m7G-mRNAs were extracted using the packages ggalluvial, ggplot2 and dplyr (Awan et al, 2021;Liu et al, 2021) and the results were displayed using a Sankey diagram (Glover et al, 2021).…”

Section: Correlation Analysis Between Prognostic M7g-lncrnas and Mrnasmentioning

confidence: 99%

“…Using the R packages survival and survminer (Groeneveld et al, 2019;Zhao et al, 2021a), survival studies were conducted to assess the prognosis of individuals with LSCC in high-and low-risk categories in the prognosis prediction model. Applying the Kaplan-Meier survival curve (Awan et al, 2021;Liu et al, 2021), outcomes are displayed. To determine the risk score, survival status, and expression of prognostic m7G-lncRNAs in the prognosis prediction model, prognostic risk analysis was carried out.…”

Section: Survival Analyses and Risk Analyses Among High-and Low-risk ...mentioning

confidence: 99%

Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma

YAO,

MA,

LIU

et al. 2023

Biocell

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Objective: Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC). Methods: The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category using univariate & multivariate COX regression & LASSO regression analyses, & the model's efficacy was checked against the test category data. In addition, we conducted DEA of prognostic m7G-lncRNAs among LSCC & normal sample categories & compiled a list of co-expression networks & the structure of prognosis m7G-lncRNAs. To compare the prognoses for individuals with LSCC in the high-& low-risk categories in the prognosis prediction model, survival and risk assessments were also carried out. Finally, we created a nomogram to accurately forecast the outcomes of LSCC patients & created receiver operating characteristic (ROC) curves to assess the prognosis prediction model's predictive capability. Results: Using co-expression network analysis & differential expression analysis, we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs, respectively. We then constructed a prognosis prediction model for six m7G-lncRNAs (FLG−AS1, RHOA−IT1, AC020913.3, AC027307.2, AC010973.2 and AC010789.1), identified 32 DEPm7G-lncRNAs, analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs, and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients. By displaying ROC curves and a nomogram, we finally checked the prognosis prediction model's accuracy. Conclusion: By creating novel predictive lncRNA signatures for clinical diagnosis & therapy, our findings will contribute to understanding the pathogenetic process of LSCC.Abbreviations m7G N7-methylguanosine modification lncRNAs Long non-coding RNAs m7G-lncRNAs m7G modification-related lncRNAs DEm7G-lncRNAs Differentially expressed m7G-related lncRNAs DEPm7G-lncRNAs Differentially expressed prognostic m7G-lncRNAs LSCC Laryngeal squamous cell carcinoma DEA Differential expression analysis FC Fold change HR Hazard ratio PCC Pearson correlation coefficient ROC Receiver operating characteristic AUC The area under the ROC curve COAD Colon adenocarcinoma

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Proteomics-Based Transporter Identification by the PICK Method: Involvement of TM7SF3 and LHFPL6 in Proton-Coupled Organic Cation Antiport at the Blood–Brain Barrier

et al. 2022

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A proton-coupled organic cation (H+/OC) antiporter working at the blood–brain barrier (BBB) in humans and rodents is thought to be a promising candidate for the efficient delivery of cationic drugs to the brain. Therefore, it is important to identify the molecular entity that exhibits this activity. Here, for this purpose, we established the Proteomics-based Identification of transporter by Crosslinking substrate in Keyhole (PICK) method, which combines photo-affinity labeling with comprehensive proteomics analysis using SWATH-MS. Using preselected criteria, the PICK method generated sixteen candidate proteins. From these, knockdown screening in hCMEC/D3 cells, an in vitro BBB model, identified two proteins, TM7SF3 and LHFPL6, as candidates for the H+/OC antiporter. We synthesized a novel H+/OC antiporter substrate for functional analysis of TM7SF3 and LHFPL6 in hCMEC/D3 cells and HEK293 cells. The results suggested that both TM7SF3 and LHFPL6 are components of the H+/OC antiporter.

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Prognostic Value of LHFPL Tetraspan Subfamily Member 6 (LHFPL6) in Gastric Cancer: A Study Based on Bioinformatics Analysis and Experimental Validation

Cited by 3 publications

References 57 publications

A risk model based on the tumor infiltrating CD8+T cells correlated with the prognosis and therapy in bladder urothelial carcinoma

A risk model based on the tumor infiltrating CD8+T cells correlated with the prognosis and therapy in bladder urothelial carcinoma

Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma

Proteomics-Based Transporter Identification by the PICK Method: Involvement of TM7SF3 and LHFPL6 in Proton-Coupled Organic Cation Antiport at the Blood–Brain Barrier

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