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BAIAP2L1在宫颈癌中表达的临床意义及其对宫颈癌细胞恶性表型的影响

赵珏莹, 韩卓莹, 冯路路, 王晨龙, 张莉, 罗超, 王其龙

赵珏莹, 韩卓莹, 冯路路, 王晨龙, 张莉, 罗超, 王其龙. BAIAP2L1在宫颈癌中表达的临床意义及其对宫颈癌细胞恶性表型的影响[J]. 肿瘤防治研究, 2025, 52(6): 481-490. DOI: 10.3971/j.issn.1000-8578.2025.24.0951
引用本文: 赵珏莹, 韩卓莹, 冯路路, 王晨龙, 张莉, 罗超, 王其龙. BAIAP2L1在宫颈癌中表达的临床意义及其对宫颈癌细胞恶性表型的影响[J]. 肿瘤防治研究, 2025, 52(6): 481-490. DOI: 10.3971/j.issn.1000-8578.2025.24.0951
ZHAO Jueying, HAN Zhuoying, FENG Lulu, WANG Chenlong, ZHANG Li, LUO Chao, WANG Qilong. Clinical Importance of BAIAP2L1 Expression in Cervical Cancer and Its Effect on Malignant Phenotype of Cervical Cancer Cells[J]. Cancer Research on Prevention and Treatment, 2025, 52(6): 481-490. DOI: 10.3971/j.issn.1000-8578.2025.24.0951
Citation: ZHAO Jueying, HAN Zhuoying, FENG Lulu, WANG Chenlong, ZHANG Li, LUO Chao, WANG Qilong. Clinical Importance of BAIAP2L1 Expression in Cervical Cancer and Its Effect on Malignant Phenotype of Cervical Cancer Cells[J]. Cancer Research on Prevention and Treatment, 2025, 52(6): 481-490. DOI: 10.3971/j.issn.1000-8578.2025.24.0951

BAIAP2L1在宫颈癌中表达的临床意义及其对宫颈癌细胞恶性表型的影响

基金项目: 

江苏省自然科学基金面上项目(BK20211111)

详细信息
    作者简介:

    赵珏莹,女,硕士在读,主要从事食管癌的发病机制相关研究,ORCID: 0009-0004-1620-0389

    通信作者:

    王其龙,男,博士,研究员,主要从事食管癌发生及食管癌靶向药物递送相关研究,E-mail: qlwang@njmu.edu.cn,ORCID: 0000-0002-5116-9186

  • 中图分类号: R737.33

Clinical Importance of BAIAP2L1 Expression in Cervical Cancer and Its Effect on Malignant Phenotype of Cervical Cancer Cells

Funding: 

Jiangsu Provincial Natural Science Foundation General Program (No. BK20211111)

More Information
  • 摘要:
    目的 

    探讨BAIAP2L1在宫颈癌中的表达特征及其对肿瘤细胞转移的调控作用。

    方法 

    基于公共数据库分析BAIAP2L1表达与临床预后的相关性,通过R语言进行GO通路富集及临床病理关联分析。采用基因沉默技术观察BAIAP2L1敲低对宫颈癌细胞增殖、侵袭迁移及上皮间质转化(EMT)的影响。

    结果 

    BAIAP2L1在宫颈癌组织中表达显著上调(Padj<0.001),是患者死亡独立风险因素(HR=2.808,P=0.03),且与总生存期、T/N分期及复发转移显著相关(均P<0.05)。基因功能富集显示其参与肿瘤转移相关通路。敲低BAIAP2L1可显著抑制癌细胞增殖、侵袭迁移能力及EMT进程(均P<0.05)。

    结论 

    BAIAP2L1在宫颈癌中表达上调,与不良预后及转移密切相关,靶向抑制该基因可有效遏制肿瘤进展。

    Abstract:
    Objective 

    To explore the expression characteristics of BAIAP2L1 in cervical cancer (CC) and its regulatory role in tumor cell metastasis.

    Methods 

    The correlation between BAIAP2L1 expression and clinical prognosis was analyzed by using a public database. GO pathway enrichment and clinicopathological correlation analyses were conducted by employing R language. The effect of BAIAP2L1 knockdown on CC cell proliferation, invasion, migration, and epithelial-mesenchymal transition (EMT) were further investigated through gene silencing approaches.

    Results 

    BAIAP2L1 expression was significantly upregulated in CC tissues (Padj <0.001) and it was identified as an independent risk factor for patient mortality (HR=2.808, P=0.03). Elevated BAIAP2L1 levels showed significant correlations with poor overall survival, advanced T/N stage, recurrence, and metastasis (all P<0.05). Functional enrichment analysis revealed its involvement in tumor metastasis-related pathways. The knockdown of BAIAP2L1 significantly attenuated CC cell proliferation, invasion, and migration and suppressed key EMT processes (all P<0.05).

    Conclusion 

    BAIAP2L1 is overexpressed in CC tissues and associated with patient prognosis and metastasis. The targeted inhibition of BAIAP2L1 can effectively curb tumor progression.

  • 图  1   宫颈癌患者公共数据库数据筛选BAIAP2L1基因及分析其与患者预后的关系

    Figure  1   Screening of BAIAP2L1 gene in patients with CC from public databases and its association with patient prognosis

    图  2   BAIAP2L1在宫颈癌临床样本中的表达验证

    Figure  2   Validation of BAIAP2L1 expression in clinical CC tissues

    A: qRT-PCR detection of BAIAP2L1 expression in paired tumors and adjacent normal cervical tissues from 47 patients with CC, V=153, P<0.000 1, r=0.68; B, C: Western blot analysis of BAIAP2L1 expression in paired tumor and adjacent normal tissues from eight patients with CC. V=3, P=0.039 1, r=0.73.

    图  3   BAIAP2L1表达与宫颈癌临床病理相关性分析

    Figure  3   Correlation between BAIAP2L1 expression and clinicopathological characteristics of CC patients

    A-C: expression of BAIAP2L1 mRNA in the T stage (A, W=2398, P=0.012, Cliff's delta=0.28) and N stage (B, W=3465, P=0.045, Cliff's delta=0.18) of CC in the TCGA database and postoperative recurrence and metastasis cases (C, W=3249.5, P=0.007, Cliff's delta=0.29). Box plots: ˉx±s.

    图  4   BAIAP2L1表达对细胞侵袭和迁移的影响

    Figure  4   Effect of BAIAP2L1 knockdown on CC cell invasion and migration

    A, B: Western blot analysis of BAIAP2L1 knockdown in HeLa and SiHa cells (HeLa: NC vs. siRNA-1: t=9.98, df=4, P=0.000 6; NC vs. siRNA-2: t=7.41, df=4, P=0.001 8. SiHa: NC vs. siRNA-1: t=9.37, df=4, P=0.000 7; NC vs. siRNA-2: t=7.34, df=4, P=0.001 8); C-F: Wound healing assay of the migration ability of CC cells upon BAIAP2L1 knockdown (D: NC vs. siRNA-1: t=5.01, df=4, P=0.007; NC vs. siRNA-2: t=6.26, df=4, P=0.003. F: NC vs. siRNA-1: t=5.32, df=4, P=0.006; NC vs. siRNA-2: t=7.92, df=4, P=0.001 4); G-H: Transwell assay of the invasion and migration abilities of CC cells upon BAIAP2L1 knockdown (H: invasion, NC vs. siRNA-1: t=4.96, df=4, P=0.007 7; NC vs. siRNA-2: t=4.56, df=4, P=0.010 3; migration, NC vs. siRNA-1: t=8.21, df=4, P=0.001 2; NC vs. siRNA-2: t=14.6, df=4, P=0.000 1. J: invasion, NC vs. siRNA-1: t=6.00, df=4, P=0.003 9; NC vs. siRNA-2: t=12.69, df=4, P=0.000 2; migration, NC vs. siRNA-1: t=3.29, df=4, P=0.030 3; NC vs. siRNA-2: t=3.87, df=4, P=0.018). Bar graph: mean±s.

    图  5   BAIAP2L1表达对宫颈癌细胞增殖(A-B)和克隆(C-E)能力的影响

    Figure  5   Effects of BAIAP2L1 expression on the proliferative (A-B) and clonogenic (C-E) capacities of CC cells

    A, B: RTCA detection of the proliferation ability of CC cells upon BAIAP2L1 knockdown (A: 64 h NC vs. siRNA-1: t=7.1, df=4, P=0.002 1; NC vs. siRNA-2: t=19.3, df=4, P<0.000 1; B: 64 h NC vs. siRNA-1: t=5.23, df=4, P=0.006 4; NC vs. siRNA-2: t=8.41, df=4, P=0.001 1). C-E: clonogenic assay of the colony formation ability of CC cells upon BAIAP2L1 knockdown (E: HeLa: NC vs. siRNA-1: t=5.72, df=4, P=0.004 6; NC vs. siRNA-2: t=5.98, df=4, P=0.003 9, SiHa: NC vs. siRNA-1: t=11.11, df=4, P=0.000 4; NC vs. siRNA-2: t=19.03, df=4, P<0.000 1). Bar graph: mean±s.

    图  6   BAIAP2L1在宫颈癌中的相关通路的富集分析及验证

    Figure  6   Enrichment analysis and experimental validation of BAIAP2L1-associated pathways in CC

    A: GO enrichment analysis of differentially expressed genes between CC and normal tissues from the TCGA database. B-D: Western blot validation of epithelial-mesenchymal transition markers (N-cadherin, E-cadherin, Vimentin, and ZEB1) upon BAIAP2L1 knockdown in CC cells. E, F: Western blot analysis of AKT signaling pathway components (total AKT and phosphorylated AKT) upon BAIAP2L1 knockdown. Bar graph: mean±s.

    表  1   BAIAP2L1差异表达分析部分数据(源自TCGA数据)

    Table  1   Partial data of differential expression analysis of BAIAP2L1 (from TCGA data)

    Gene symbol log2FC P Padj Change
    BAIAP2L1 3.057 2.32E−17 2.20E−15 Up
    RHBDF2 2.179 1.73E−06 2.70E−05 Up
    ITGB6 5.027 1.88E−09 6.09E−08 Up
    VDR 2.644 1.92E−08 4.95E−07 Up
    下载: 导出CSV

    表  2   BAIAP2L1表达与临床病理因素的相关性分析 (源自TCGA数据)

    Table  2   Correlation of BAIAP2L1 expression with clinical pathological factors (from TCGA database)

    Factors BAIAP2L1 expression(n(%)) χ2 r P
    All High Low
    Age(years) 2.16 −0.102 0.339
    <60 159(76.44) 84(80.77) 75(72.12)
    ≥60 49(23.56) 20(19.23) 29(27.88)
    Tumer pathological stage 1.96 0.099 0.376
    Ⅰ/Ⅱ 148(73.63) 70(69.31) 78(78.00)
    Ⅲ/Ⅳ 53(26.37) 31(30.69) 22(22.00)
    T stage 2.35 0.124 0.309
    T1/2 127(83.55) 60(78.95) 67(88.16)
    T3/4 25(16.45) 16(21.05) 9(11.84)
    N stage 14.89 0.377 0.001
    N0 81(77.14) 28(59.57) 53(91.38)
    N1 24(22.86) 19(40.43) 5(8.62)
    M stage 0.01 0.01 0.995
    M0 87(88.78) 33(89.19) 54(88.52)
    M1 11(11.22) 4(10.81) 7(11.48)
    Tumor differentiation grade 4.27 −0.158 0.118
    G1/2 94(54.65) 51(62.96) 43(47.25)
    G3/4 78(45.35) 30(37.04) 48(52.75)
    下载: 导出CSV

    表  3   宫颈癌患者BAIAP2L1表达及临床病理因素与患者预后的关系分析(源自TCGA 数据)

    Table  3   Relationship of BAIAP2L1 expression and clinicopathological factors with prognosis of patients with CC (from TCGA database)

    Characteristic N Univariate analysis Multivariate analysis
    HR(95%CI) P HR(95%CI) P
    Age (years) 0.105
    <60 195 1
    ≥60 52 1.636 (0.902, 2.967)
    Tumor pathological stage 0.001 0.361 (0.096, 1.360) 0.132
    Ⅰ/Ⅱ 188 1
    Ⅲ/Ⅳ 53 2.747 (1.537, 4.911)
    Tumor differentiation grade 0.248
    G1/2 123 1
    G3/4 105 0.686 (0.363, 1.300)
    T stage <0.001 16.559 (4.310, 63.619) <0.001
    T1/2 178 1
    T3/4 25 5.218 (2.695, 10.103)
    N stage 0.002 2.823 (1.225, 6.507) 0.015
    N0 111 1
    N1 52 3.539 (1.598, 7.837)
    M stage 0.062
    M0 95 1
    M1 10 3.325 (0.942, 11.728)
    BAIAP2L1 expression <0.001 2.808 (1.108, 7.113) 0.03
    Low 123 1
    High 124 4.772 (2.377, 9.582)
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-09-26
  • 修回日期:  2025-01-26
  • 录用日期:  2025-04-14
  • 刊出日期:  2025-06-24

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    Corresponding author: WANG Qilong, qlwang@njmu.edu.cn

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