Wei Lin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wei Lin has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
Chengde Wu
Department of Thoracic Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou People's Hospital, Haidian Island, Haikou, China
2 shared publicationsFangyong Fu
Department of Thoracic Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou People's Hospital, Haidian Island, Haikou, China
1 shared publicationXiang Rao
Department of Pathology Affiliated Haikou Hospital of Xiangya Medical College Central South University Haikou Hainan China
1 shared publication
Latest Publications
- Open Access
- 1 August 2021
- Published by AME Publishing Company in Translational Cancer Research
- Vol. 10 (8) , 3772-3787
Long non-coding RNA DLX6-AS1 knockdown suppresses the tumorigenesis and progression of non-small cell lung cancer through microRNA-16-5p/BMI1 axis
Background: Non-small cell lung cancer (NSCLC) is a huge threat to sufferers’ life and overall health. Long non-coding RNA (lncRNA) distal-less homeobox 6 antisense RNA 1 (DLX6-AS1) has been revealed to function as a carcinogenesis factor in some cancers. This research aimed to scrutinize the role and mechanism underlying DLX6-AS1 in NSCLC tumorigenesis and progression. Methods: The levels of DLX6-AS1, microRNA-16-5p (miR-16-5p), and BMI1 mRNA were estimated via reverse transcription-quantitative PCR (RT-qPCR) assay. The protein levels were disclosed by western blot assay. Cell proliferative potential was estimated by colony formation and Cell Counting Kit-8 (CCK-8) assays. Cell migration was estimated by Transwell and wound healing assay. A Transwell assay was executed to estimate cell invasion. The relationships of DLX6-AS1, miR-16-5p, and BMI1 were forecasted by bioinformatics analysis, and confirmed by luciferase reporter assay and RNA immunoprecipitation (RIP) assay. A xenograft mice model was employed to to inspect the function of DLX6-AS1 knockdown on NSCLC tumorigenesis in vivo. Results: DLX6-AS1 was overexpressed in NSCLC tissues and cells, and was inextricably linked with the poor prognosis of NSCLC patients. Depletion of DLX6-AS1 oppressed cell proliferation, migration, invasion, epithelial-mesenchymal transition (EMT) but promoted apoptosis in NSCLC. MiR-16-5p is a target of DLX6-AS1 and directly targets BMI1. Moreover, the anti-tumor impacts of miR-16-5p were overturned by overexpression of DLX6-AS1 or BMI1 in NSCLC cells. Additionally, DLX6-AS1 silencing inhibited tumor growth of NSCLC in vivo. Conclusions: In conclusion, lncRNA DLX6-AS1 downregulation suppressed the tumorigenesis and progression of NSCLC via miR-16-5p/BMI1 axis in vitro and in vivo, elucidating the vital roles and downstream targets of DLX6-AS1 in NSCLC.
- 1 August 2021
- Published by AME Publishing Company in Translational Cancer Research
- Vol. 10 (8) , 3772-3787
Open AccessLong non-coding RNA DLX6-AS1 knockdown suppresses the tumorigenesis and progression of non-small cell lung cancer through microRNA-16-5p/BMI1 axis
Background: Non-small cell lung cancer (NSCLC) is a huge threat to sufferers’ life and overall health. Long non-coding RNA (lncRNA) distal-less homeobox 6 antisense RNA 1 (DLX6-AS1) has been revealed to function as a carcinogenesis factor in some cancers. This research aimed to scrutinize the role and mechanism underlying DLX6-AS1 in NSCLC tumorigenesis and progression. Methods: The levels of DLX6-AS1, microRNA-16-5p (miR-16-5p), and BMI1 mRNA were estimated via reverse transcription-quantitative PCR (RT-qPCR) assay. The protein levels were disclosed by western blot assay. Cell proliferative potential was estimated by colony formation and Cell Counting Kit-8 (CCK-8) assays. Cell migration was estimated by Transwell and wound healing assay. A Transwell assay was executed to estimate cell invasion. The relationships of DLX6-AS1, miR-16-5p, and BMI1 were forecasted by bioinformatics analysis, and confirmed by luciferase reporter assay and RNA immunoprecipitation (RIP) assay. A xenograft mice model was employed to to inspect the function of DLX6-AS1 knockdown on NSCLC tumorigenesis in vivo. Results: DLX6-AS1 was overexpressed in NSCLC tissues and cells, and was inextricably linked with the poor prognosis of NSCLC patients. Depletion of DLX6-AS1 oppressed cell proliferation, migration, invasion, epithelial-mesenchymal transition (EMT) but promoted apoptosis in NSCLC. MiR-16-5p is a target of DLX6-AS1 and directly targets BMI1. Moreover, the anti-tumor impacts of miR-16-5p were overturned by overexpression of DLX6-AS1 or BMI1 in NSCLC cells. Additionally, DLX6-AS1 silencing inhibited tumor growth of NSCLC in vivo. Conclusions: In conclusion, lncRNA DLX6-AS1 downregulation suppressed the tumorigenesis and progression of NSCLC via miR-16-5p/BMI1 axis in vitro and in vivo, elucidating the vital roles and downstream targets of DLX6-AS1 in NSCLC.
- Open Access
- 12 December 2020
- Published by Wiley in Cancer Medicine
- Vol. 10 (3) , 806-823
Immune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
Purpose: TP53 mutation, one of the most frequent mutations in early‐stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early‐stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of early‐stage LUAD and formulate a TP53‐associated immune prognostic model (IPM) that can estimate prognosis in early‐stage LUAD patients.Materials and methods: Immune‐associated differentially expressed genes (DEGs) between TP53 mutated (TP53MUT) and TP53 wild‐type (TP53WT) early‐stage LUAD were comprehensively analyzed. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis identified the prognostic immune‐associated DEGs. We constructed and validated an IPM based on the TCGA and a meta‐GEO composed of GSE72094, GSE42127, and GSE31210, respectively. The CIBERSORT algorithm was analyzed for assessing the percentage of immune cell types. A nomogram model was established for clinical application.Results: TP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in early‐stage LUAD. Sixty‐seven immune‐associated DEGs were determined between TP53WT and TP53MUT cohort. An IPM consisting of two prognostic immune‐associated DEGs (risk score = 0.098 * ENTPD2 expression + 0.168 * MIF expression) was developed through 397 cases in the TCGA and further validated based on 623 patients in a meta‐GEO. The IPM stratified patients into low or high risk of undesirable survival and was identified as an independent prognostic indicator in multivariate analysis (HR = 2.09, 95% CI: 1.43–3.06, p < 0.001). Increased expressions of PD‐L1, CTLA‐4, and TIGIT were revealed in the high‐risk group. Prognostic nomogram incorporating the IPM and other clinicopathological parameters (TNM stage and age) achieved optimal predictive accuracy and clinical utility.Conclusion: The IPM based on TP53 status is a reliable and robust immune signature to identify early‐stage LUAD patients with high risk of unfavorable survival.
- 12 December 2020
- Published by Wiley in Cancer Medicine
- Vol. 10 (3) , 806-823
Open AccessImmune landscape and a promising immune prognostic model associated with TP53 in early‐stage lung adenocarcinoma
Purpose: TP53 mutation, one of the most frequent mutations in early‐stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early‐stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of early‐stage LUAD and formulate a TP53‐associated immune prognostic model (IPM) that can estimate prognosis in early‐stage LUAD patients.Materials and methods: Immune‐associated differentially expressed genes (DEGs) between TP53 mutated (TP53MUT) and TP53 wild‐type (TP53WT) early‐stage LUAD were comprehensively analyzed. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis identified the prognostic immune‐associated DEGs. We constructed and validated an IPM based on the TCGA and a meta‐GEO composed of GSE72094, GSE42127, and GSE31210, respectively. The CIBERSORT algorithm was analyzed for assessing the percentage of immune cell types. A nomogram model was established for clinical application.Results: TP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in early‐stage LUAD. Sixty‐seven immune‐associated DEGs were determined between TP53WT and TP53MUT cohort. An IPM consisting of two prognostic immune‐associated DEGs (risk score = 0.098 * ENTPD2 expression + 0.168 * MIF expression) was developed through 397 cases in the TCGA and further validated based on 623 patients in a meta‐GEO. The IPM stratified patients into low or high risk of undesirable survival and was identified as an independent prognostic indicator in multivariate analysis (HR = 2.09, 95% CI: 1.43–3.06, p < 0.001). Increased expressions of PD‐L1, CTLA‐4, and TIGIT were revealed in the high‐risk group. Prognostic nomogram incorporating the IPM and other clinicopathological parameters (TNM stage and age) achieved optimal predictive accuracy and clinical utility.Conclusion: The IPM based on TP53 status is a reliable and robust immune signature to identify early‐stage LUAD patients with high risk of unfavorable survival.