文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

[信号通路抑制因子1在结直肠癌中的表达及其对其生物学行为的影响]

[Expression of SIPA1 in colorectal cancer and its impact on its biological behavior].

作者信息

Wang N Z, Zhang L, Chen J, Chen H, Wang R C, Lu C H, Ji Y F

机构信息

Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong 226001, China.

Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong 226001, China Clinical Medical Research Centre, Affiliated Hospital of Nantong University, Nantong 226001, China.

出版信息

Zhonghua Zhong Liu Za Zhi. 2025 Jul 23;47(7):657-668. doi: 10.3760/cma.j.cn112152-20240812-00338.


DOI:10.3760/cma.j.cn112152-20240812-00338
PMID:40692252
Abstract

To investigate the expression of signal-induced proliferation-associated 1 (SIPA1) in colorectal cancer tissues and its relationship with patient prognosis. To explore the effects of SIPA1 on proliferation and migration abilities, as well as the possible molecular mechanisms. Using The Cancer Genome Atlas (TCGA) database to analyze the differential expression of SIPA1 and conduct survival analysis. Then, plotting receiver operating characteristic curve (ROC) and prognosis calibration curve analysis to assess the predictive capability and accuracy of SIPA1 for patient prognosis. Subsequently, verifying the expression levels of SIPA1 in tumor tissues and adjacent normal tissues using immunohistochemistry (IHC) and western blot (WB) assays(from March 1, 2023, to May 1, 2024, pathological specimens of five colorectal cancer patients were selected from the tissue bank of affiliated hospital of Nantong University. tissue microarrays were constructed using both cancerous tissues and adjacent normal tissues), and exploring the correlation between SIPA1 and clinical pathological parameters. Next, establishing SIPA1 stable knockdown cell lines in colorectal cancer cell lines DLD1 and HCT116, and assessing the biological behavior changes of tumor cells after SIPA1 knockdown through cell proliferation, invasion, and migration experiments. Validating the impact of SIPA1 on colorectal cancer cell proliferation through subcutaneous xenograft experiments in nude mice. Exploring the potential pro-tumor mechanisms of SIPA1 through pathway enrichment analysis, and confirming these using WB experiments. The proliferation, invasion and migration of tumor cells were detected after adding PI3K activator. Lastly, conducting correlation analysis between SIPA1 and immune checkpoint, as well as the association with immune cells in the tumor microenvironment. Differential analysis showed that mRNA expression of SIPA1 in colorectal cancer tissues was significantly higher than that in adjacent normal tissues (<0.05). Prognostic analysis indicated that patients with high expression of SIPA1 had poor overall survival (<0.001), and the expression level of SIPA1was correlated with lymph node invasion (<0.001) and N stage (<0.05). ROC curve and prognosis calibration curve suggest that SIPA1 can effectively predict five-year survival rate of patients (AUC=0.7), and the predictive performance of the model is relatively accurate (<0.001). WB experiments showed a significant increase in the expression level of SIPA1 protein in colorectal cancer specimens (<0.001). Immunohistochemistry results indicated higher staining scores of SIPA1 in tumor tissues. experiments demonstrated that SIPA1 knockdown significantly inhibited the proliferation, invasion, and migration capabilities of colorectal cancer cells. In DLD1 and HCT116 cells, the SIPA1-knockdown group exhibited significantly lower absorbance compared to the control group (0.89±0.01 vs. 1.57±0.02 and 0.72±0.01 vs. 1.31±0.03, respectively, both <0.001). The SIPA1-knockdown group also demonstrated a reduced number of migrated cells relative to the control group (197.93±16.64 vs. 518.48±29.15 and 171.83±12.49 vs. 446.00±21.81, respectively, both <0.001). Furthermore, the cell wound-healing rate was significantly lower in the SIPA1-knockdown group than that in the control group [(0.32±0.01)% vs. (0.61±0.01)% and (0.28±0.01)% vs. (0.75±0.01)%, respectively, both <0.001]. animal experiments suggested that SIPA1 knockdown could inhibit tumor growth [(460.35±57.47) mm³ (1 177.55±208.24)mm³, (0.76±0.11)g (1.43±0.08)g, <0.05]. Pathway enrichment analysis revealed significant enrichment of the receptor tyrosine kinase signaling pathway, and SIPA1 knockdown could inhibit the activation of the phosphatidylinositide 3-kinases (PI3K)/protein kinase B (PKB)/glycogen synthase kinase-3β (GSK3β) signaling pathway. The PI3K activator reversed the inhibitory effect of SIPA1 silencing on tumor cell proliferation, invasion and migration. Correlation analysis indicated that high expression of SIPA1 was associated with immune checkpoints and various immunosuppressive cells (all <0.05). SIPA1 is highly expressed in colorectal cancer and associated with poor prognosis. SIPA1 may affect the proliferation and migration abilities of tumor cells by regulating the PI3K/AKT/GSK3β signaling pathway.

摘要

探讨信号诱导增殖相关蛋白1(SIPA1)在结直肠癌组织中的表达及其与患者预后的关系。探究SIPA1对增殖和迁移能力的影响以及可能的分子机制。利用癌症基因组图谱(TCGA)数据库分析SIPA1的差异表达并进行生存分析。然后,绘制受试者工作特征曲线(ROC)和预后校准曲线分析,以评估SIPA1对患者预后的预测能力和准确性。随后,采用免疫组织化学(IHC)和蛋白质免疫印迹(WB)检测(选取2023年3月1日至2024年5月1日南通大学附属医院组织库中5例结直肠癌患者的病理标本,用癌组织和癌旁正常组织构建组织芯片)验证肿瘤组织和癌旁正常组织中SIPA1的表达水平,并探究SIPA1与临床病理参数之间的相关性。接下来,在结直肠癌细胞系DLD1和HCT116中建立SIPA1稳定敲低细胞系,并通过细胞增殖、侵袭和迁移实验评估SIPA1敲低后肿瘤细胞生物学行为的变化。通过裸鼠皮下异种移植实验验证SIPA1对结直肠癌细胞增殖的影响。通过通路富集分析探究SIPA1潜在的促肿瘤机制,并利用WB实验进行验证。加入PI3K激活剂后检测肿瘤细胞的增殖、侵袭和迁移情况。最后,进行SIPA1与免疫检查点之间的相关性分析,以及与肿瘤微环境中免疫细胞的相关性分析。差异分析显示,结直肠癌组织中SIPA1的mRNA表达显著高于癌旁正常组织(P<0.05)。预后分析表明,SIPA1高表达的患者总生存期较差(P<0.001),且SIPA1的表达水平与淋巴结转移(P<0.001)和N分期(P<0.05)相关。ROC曲线和预后校准曲线表明,SIPA1能够有效预测患者的五年生存率(AUC = 0.7),且该模型的预测性能相对准确(P<0.001)。WB实验显示,结直肠癌标本中SIPA1蛋白表达水平显著升高(P<0.001)。免疫组织化学结果表明,肿瘤组织中SIPA1的染色评分较高。实验表明,SIPA1敲低显著抑制了结直肠癌细胞的增殖、侵袭和迁移能力。在DLD1和HCT116细胞中,SIPA1敲低组的吸光度显著低于对照组(分别为0.89±0.01 vs. 1.57±0.02和0.72±0.01 vs. 1.31±0.03,均P<0.001)。SIPA1敲低组的迁移细胞数量也相对于对照组减少(分别为197.93±16.64 vs. 518.48±29.15和171.83±12.49 vs. 446.00±21.81,均P<0.001)。此外,SIPA1敲低组的细胞伤口愈合率显著低于对照组[分别为(0.32±0.01)% vs. (0.61±0.01)%和(0.28±0.01)% vs. (0.75±0.01)%,均P<0.001]。动物实验表明,SIPA1敲低可抑制肿瘤生长[分别为(460.35±57.47)mm³ vs. (1177.55±208.24)mm³,(0.76±0.11)g vs. (1.43±0.08)g,P<0.05]。通路富集分析显示受体酪氨酸激酶信号通路显著富集,且SIPA1敲低可抑制磷脂酰肌醇-3激酶(PI3K)/蛋白激酶B(PKB)/糖原合酶激酶-3β(GSK3β)信号通路的激活。PI3K激活剂可逆转SIPA1沉默对肿瘤细胞增殖、侵袭和迁移的抑制作用。相关性分析表明,SIPA1高表达与免疫检查点及多种免疫抑制细胞相关(均P<0.05)。SIPA1在结直肠癌中高表达且与预后不良相关。SIPA1可能通过调节PI3K/AKT/GSK3β信号通路影响肿瘤细胞的增殖和迁移能力。

相似文献

[1]
[Expression of SIPA1 in colorectal cancer and its impact on its biological behavior].

Zhonghua Zhong Liu Za Zhi. 2025-7-23

[2]
Expression of WNT10A in papillary thyroid carcinoma and its effect on cell proliferation, invasion, and metastasis.

Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2025-3-28

[3]
Integrin αVβ1-activated PYK2 promotes the progression of non-small-cell lung cancer via the STAT3-VGF axis.

Cell Commun Signal. 2024-6-6

[4]
Caveolin-1 inhibits the proliferation and invasion of lung adenocarcinoma via EGFR degradation.

Sci Rep. 2025-7-1

[5]
Upregulated SAE1 Drives Tumorigenesis and Is Associated with Poor Clinical Outcomes in Breast Cancer.

Breast J. 2024-6-30

[6]
[High expression of ELFN1 is a prognostic biomarker and promotes proliferation and metastasis of colorectal cancer cells].

Nan Fang Yi Ke Da Xue Xue Bao. 2025-7-20

[7]
[Expression of LINC 00478 in oral squamous cell carcinoma and its effect on proliferation, migration and invasion].

Shanghai Kou Qiang Yi Xue. 2025-4

[8]
Nuclear factor IA-mediated transcriptional regulation of crystallin αB inhibits hepatocellular carcinoma progression.

Mol Clin Oncol. 2025-6-20

[9]
RSU1 Mediates Caco-2 Colorectal Cancer Cells Proliferation and Migration via PI3K/AKT Signaling Pathway.

Cell Biochem Biophys. 2025-6-21

[10]
PLAGL2 as a prognostic biomarker and an EMT-promoting factor in PDAC.

Sci Rep. 2025-7-14

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索