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TMEM63C在肺腺癌中的表达特征、预后价值及相关机制研究

王瀚林 洪源 唐佳欣 张仁泉

王瀚林, 洪源, 唐佳欣, 张仁泉. TMEM63C在肺腺癌中的表达特征、预后价值及相关机制研究[J]. 中华全科医学, 2026, 24(4): 559-563. doi: 10.16766/j.cnki.issn.1674-4152.004439
引用本文: 王瀚林, 洪源, 唐佳欣, 张仁泉. TMEM63C在肺腺癌中的表达特征、预后价值及相关机制研究[J]. 中华全科医学, 2026, 24(4): 559-563. doi: 10.16766/j.cnki.issn.1674-4152.004439
WANG Hanlin, HONG Yuan, TANG Jiaxin, ZHANG Renquan. Study on the expression characteristics, prognostic value, and potential mechanisms of TMEM63C in lung adenocarcinoma[J]. Chinese Journal of General Practice, 2026, 24(4): 559-563. doi: 10.16766/j.cnki.issn.1674-4152.004439
Citation: WANG Hanlin, HONG Yuan, TANG Jiaxin, ZHANG Renquan. Study on the expression characteristics, prognostic value, and potential mechanisms of TMEM63C in lung adenocarcinoma[J]. Chinese Journal of General Practice, 2026, 24(4): 559-563. doi: 10.16766/j.cnki.issn.1674-4152.004439

TMEM63C在肺腺癌中的表达特征、预后价值及相关机制研究

doi: 10.16766/j.cnki.issn.1674-4152.004439
基金项目: 

安徽省临床医学研究转化专项项目 202304295107020047

2024年安徽省大学生创新训练计划项目 S202410366057

详细信息
    通讯作者:

    张仁泉,E-mail: zrqahmu@163.com

  • 中图分类号: R734.2 R730.2

Study on the expression characteristics, prognostic value, and potential mechanisms of TMEM63C in lung adenocarcinoma

  • 摘要:   目的  分析跨膜蛋白63C(TMEM63C)在肺腺癌(LUAD)组织中的表达及其与患者预后的关系,并探讨其对LUAD细胞增殖、迁移和侵袭的影响及作用机制。  方法  采用RT-qPCR和Western Blotting检测TMEM63C在LUAD细胞中的表达。采用GEPIA、MetaIntegrator、Kaplan-Meier plotter数据库和Cox回归分析研究TMEM63C在LUAD组织中的表达及预后价值。采用TIMER、LinkedOmics和Metasacape数据库进行免疫浸润和富集分析。siRNA干扰后,采用CCK-8、克隆形成、划痕、Transwell和Western Blotting实验评估细胞增殖、迁移、侵袭及PI3K/AKT蛋白表达变化。  结果  TMEM63C在LUAD中高表达且高表达患者总生存率更高(P<0.05)。多因素Cox回归分析结果显示,TMEM63C高表达是LUAD患者总生存期的独立保护因素[HR(95% CI) : 0.798(0.686~0.928), P=0.003]。TMEM63C表达与NK细胞(r=0.275)和树突状细胞(r=0.188)浸润呈正相关关系,与中性粒细胞(r=-0.106)浸润呈负相关关系(P<0.05)。下调TMEM63C表达促进LUAD细胞增殖、迁移、侵袭并增加PI3K/AKT蛋白表达(P<0.05)。  结论  TMEM63C在LUAD中高表达且与患者良好预后相关,机制可能与调节肿瘤微环境及抑制PI3K/AKT信号通路有关。

     

  • 图  1  LUAD中TMEM63C mRNA和蛋白质表达及预后分析

    注:A为Western blotting分析TMEM63C在人正常支气管上皮细胞BEAS-2B和LUAD细胞系A549和H1299中的表达;B为GEPIA数据库分析TMEM63C在LUAD组织和非配对正常组织中的表达,aP<0.05;C为多队列分析框架MetaIntegrator分析TMEM63C在LUAD相关数据集中的表达;D为Kaplan-Meier plotter数据库分析TMEM63C基因表达与LUAD患者生存率的关系。

    Figure  1.  Expression and prognostic analysis of TMEM63C mRNA and protein in LUAD

    图  2  下调TMEM63C表达对LUAD细胞增殖、迁移与侵袭的影响

    注:A为典型细胞克隆形成图片;B为典型细胞划痕与迁移图片;C为典型细胞Transwell侵袭图片。

    Figure  2.  Effects of TMEM63C knockdown on proliferation, migration, and invasion of LUAD cells

    图  3  下调TMEM63C表达对LUAD细胞中PI3K、AKT蛋白表达的影响

    注:与 si-NC 组比较,aP<0. 05。

    Figure  3.  Effects of TMEM63C knockdown on PI3K and AKT protein expression in LUAD cells

    表  1  各组细胞中TMEM63C mRNA及蛋白相对表达量比较($\bar{x} \pm s$)

    Table  1.   Comparison of relative expression levels of TMEM63C mRNA and protein among cell groups ($\bar{x} \pm s$)

    组别 n TMEM63C mRNA TMEM63C蛋白
    BEAS-2B 3 1.00±0.03 1.00±0.13
    A549 3 7.06±0.78a 2.12±0.16a
    H1299 3 10.96±0.43a 1.91±0.13a
    F 288.400 53.840
    P <0.001 <0.001
    注:与BEAS-2B细胞系比较,aP<0.05。
    下载: 导出CSV

    表  2  基于TCGA-LUAD队列的单因素Cox回归分析

    Table  2.   Univariate Cox regression analysis based on the TCGA-LUAD cohort

    变量 B SE Waldχ2 P HR(95% CI)
    TMEM63C mRNA -1.693 0.681 6.180 0.012 0.832(0.722~0.960)
    年龄 -4.423 3.061 2.088 0.279 1.012(0.990~1.035)
    性别(男性vs.女性) -2.323 1.796 1.673 0.648 1.103(0.724~1.679)
    TNM分期(Ⅱ期vs.Ⅰ期) 0.247 0.046 28.832 <0.001 3.597(2.130~6.078)
    TNM分期(Ⅲ期vs.Ⅰ期) 0.615 0.117 27.630 <0.001 6.350(3.669~10.986)
    TNM分期(Ⅳ期vs.Ⅰ期) 0.663 0.163 16.544 <0.001 6.976(3.150~15.442)
    下载: 导出CSV

    表  3  基于TCGA-LUAD队列的多因素Cox回归分析

    Table  3.   Multivariate Cox regression analysis based on the TCGA-LUAD cohort

    变量 B SE Waldχ2 P HR(95% CI)
    TMEM63C mRNA -1.487 0.541 7.555 0.003 0.798(0.686~0.928)
    年龄 4.135 2.621 2.489 0.155 1.016(0.994~1.039)
    性别(男vs.女) -1.952 1.786 1.195 0.531 0.868(0.557~1.353)
    TNM分期(Ⅱ期vs.Ⅰ期) 0.182 0.046 15.654 <0.001 3.323(1.956~5.647)
    TNM分期(Ⅲ期vs.Ⅰ期) 0.582 0.117 24.744 <0.001 5.986(3.446~10.402)
    TNM分期(Ⅳ期vs.Ⅰ期) 0.525 0.163 10.374 <0.001 7.090(3.149~15.963)
    注:各变量赋值方法如下,TMEM63C,低表达组=0, 高表达组=1;年龄<60岁=0, ≥60岁=1;女性=0, 男性=1;TNM分期,Ⅰ期=0, Ⅱ~Ⅳ期=1。
    下载: 导出CSV

    表  4  si-NC与si-TMEM63C组不同时间点A549细胞OD值比较($\bar{x} \pm s$)

    Table  4.   Comparison of OD values of A549 cells between si-NC and si-TMEM63C groups at different time points ($\bar{x} \pm s$)

    组别 n 24 h 48 h 72 h 96 h
    si-NC 3 0.82±0.01 1.22±0.01a 2.30±0.11ab 3.08±0.06abc
    si-TMEM63C 3 0.81±0.02 1.80±0.08a 3.00±0.01ab 3.81±0.11abc
    t 0.775 12.460 10.980 10.090
    P 0.482 <0.001 <0.001 <0.001
    注:与24 h比较,aP<0.05;与48 h比较,bP<0.05;与72 h比较,cP<0.05。
    下载: 导出CSV

    表  5  si-NC与si-TMEM63C组不同时间点H1299细胞OD值比较($\bar{x} \pm s$)

    Table  5.   Comparison of OD values of H1299 cells between si-NC and si-TMEM63C groups at different time points ($\bar{x} \pm s$)

    组别 n 24 h 48 h 72 h 96 h
    si-NC 3 0.70±0.01 1.00±0.01a 1.99±0.11ab 2.81±0.06abc
    si-TMEM63C 3 0.70±0.02 1.57±0.08a 1.57±0.08ab 3.55±0.11abc
    t 0.001 12.250 5.348 10.230
    P 0.999 <0.001 0.006 <0.001
    注:与24 h比较,aP<0.05;与48 h比较,bP<0.05;与72 h比较,cP<0.05。
    下载: 导出CSV

    表  6  si-NC与si-TMEM63C组A549细胞增殖、迁移与侵袭能力比较($\bar{x} \pm s$)

    Table  6.   Comparison of proliferation, migration, and invasion capacities of A549 cells between si-NC and si-TMEM63C groups ($\bar{x} \pm s$)

    组别 n 克隆形成率(%) 细胞迁移率(%) 细胞侵袭数(个)
    si-NC 3 30.80±1.44 32.49±0.84 267.30±13.58
    si-TMEM63C 3 49.33±3.63 59.72±2.03 373.00±25.87
    t 8.217 21.460 6.266
    P 0.001 <0.001 0.003
    下载: 导出CSV

    表  7  si-NC与si-TMEM63C组H1299细胞增殖、迁移与侵袭能力比较($\bar{x} \pm s$)

    Table  7.   Comparison of proliferation, migration, and invasion capacities of H1299 cells between si-NC and si-TMEM63C groups ($\bar{x} \pm s$)

    组别 n 克隆形成率(%) 细胞迁移率(%) 细胞侵袭数(个)
    si-NC 3 24.73±2.55 35.55±1.15 80.33±1.16
    si-TMEM63C 3 47.33±1.89 58.48±0.80 216.00±11.79
    t 12.340 28.370 19.840
    P <0.001 <0.001 <0.001
    注:与si-NC组比较,aP<0.05。
    下载: 导出CSV
  • [1] BRAY F, LAVERSANNE M, SUNG H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024, 74(3): 229-263.
    [2] 黄庭, 贡会源, 唐震, 等. KLHL7在非小细胞肺癌中的表达及其临床意义[J]. 中华全科医学, 2023, 21(7): 1109-1112.

    HUANG T, GONG H Y, TANG Z, et al. Expression of KLHL7 in non-small cell lung cancer and its clinical significance[J]. Chinese Journal of General Practice, 2023, 21(7): 1109-1112.
    [3] SONG Y A, KELAVA L, KISS I. MiRNAs in lung adenocarcinoma: role, diagnosis, prognosis, and therapy[J]. Int J Mol Sci, 2023, 24(17): 13302. DOI: 10.3390/ijms241713302.
    [4] LIN H R, ZHANG X, FENG Y L, et al. Advancing lung adenocarcinoma prognosis and immunotherapy prediction with a multi-omics consensus machine learning approach[J]. J Cell Mol Med, 2024, 28(13): e18520. DOI: 10.1111/jcmm.18520.
    [5] KANG H, LEE C J. Transmembrane proteins with unknown function (TMEMs) as ion channels: electrophysiological properties, structure, and pathophysiological roles[J]. Exp Mol Med, 2024, 56(4): 850-860. doi: 10.1038/s12276-024-01206-1
    [6] HERRERA-QUITERIO G A, ENCARNACIÓN-GUEVARA S. The transmembrane proteins (TMEM) and their role in cell proliferation, migration, invasion, and epithelial-mesenchymal transition in cancer[J]. Front Oncol, 2023, 13: 1244740. DOI: 10.3389/fonc.2023.1244740.
    [7] SCHMIT K, MICHIELS C. TMEM proteins in cancer: a review[J]. Front Pharmacol, 2018, 9: 1345. DOI: 10.3389/fphar.2018.01345.
    [8] 古联, 梁宝云, 周文君, 等. 跨膜蛋白63C基因遗传多态性与缺血性脑卒中气虚证显著关联[J]. 中国老年学杂志, 2023, 43(1): 15-20.

    GU L, LIANG B Y, ZHOU W J, et al. Transmembrane protein 63C gene polymorphism significantly associated with Qi deficiency syndrome of ischemic stroke[J]. Chinese Journal of Gerontology, 2023, 43(1): 15-20.
    [9] 朱明雪, 闫清, 王鹏, 等. EGFR突变对肺腺癌预后及治疗意义生物信息分析[J]. 青岛大学学报(医学版), 2023, 59(4): 522-526.

    ZHU M X, YAN Q, WANG P, et al. Significance of epidermal growth factor receptor mutation in the prognosis and treatment of lung adenocarcinoma: a bioinformatics analysis[J]. Journal of Qingdao University(Medical Sciences), 2023, 59(4): 522-526.
    [10] TÁBARA L C, AL-SALMI F, MAROOFIAN R, et al. TMEM63C mutations cause mitochondrial morphology defects and underlie hereditary spastic paraplegia[J]. Brain, 2022, 145(9): 3095-3107. doi: 10.1093/brain/awac123
    [11] DE VISSER K E, JOYCE J A. The evolving tumor microenvironment: from cancer initiation to metastatic outgrowth[J]. Cancer Cell, 2023, 41(3): 374-403.
    [12] MYERS J A, MILLER J S. Exploring the NK cell platform for cancer immunotherapy[J]. Nat Rev Clin Oncol, 2021, 18(2): 85-100. doi: 10.1038/s41571-020-0426-7
    [13] DEL PRETE A, SALVI V, SORIANI A, et al. Dendritic cell subsets in cancer immunity and tumor antigen sensing[J]. Cell Mol Immunol, 2023, 20(5): 432-447.
    [14] PLESCA I, MVLLER L, BÖTCHER J P, et al. Tumor-associated human dendritic cell subsets: phenotype, functional orientation, and clinical relevance[J]. Eur J Immunol, 2022, 52(11): 1750-1758. doi: 10.1002/eji.202149487
    [15] XIONG S M, DONG L L, CHENG L. Neutrophils in cancer carcinogenesis and metastasis[J]. J Hematol Oncol, 2021, 14(1): 173. doi: 10.1186/s13045-021-01187-y
    [16] HE Y, SUN M M, ZHANG G G, et al. Targeting PI3K/Akt signal transduction for cancer therapy[J]. Signal Transduct Target Ther, 2021, 6(1): 425.
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  • 收稿日期:  2025-05-06

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