基于机械学习分析KIF11在肺腺癌中的表达及生物学意义
To Analyze the Expression and Biological Significance of KIF11 in Lung Adenocarcinoma Based on Mechanistic Learning
DOI: 10.12677/ACM.2023.1381833, PDF,    科研立项经费支持
作者: 李子广, 安 然, 生海燕, 郝芳芳：蚌埠医学院第二附属医院呼吸与危重症医学科，安徽 蚌埠；孙小婷：蚌埠医学院临床学院，安徽 蚌埠；李 伟*：蚌埠医学院第一附属医院呼吸与危重症医学科，安徽 蚌埠
关键词: 肺腺癌；驱动蛋白-11；机械学习；Lung Adenocarcinoma； Kinesin-11； Mechanistic Learning
摘要: 目的：分析探讨驱动蛋白-11在肺腺癌中的表达及生物学意义。方法：应用癌症基因图谱(The Cancer Genome Atlas, TCGA)公共数据库挖掘分析KIF11在正常肺组织与肺腺癌组织中的表达情况，免疫组化检测临床肺腺癌标本检测驱动蛋白-11的表达及临床病理关系，利用Kaplan-Meier Plotter数据库分析驱动蛋白-11与肺腺癌患者生存预后关系。结论：TCGA数据库分析显示驱动蛋白-11在肺腺癌组织中表达明细高于正常肺组织，Kaplan-Meier Plotter分析显示高表达的肺腺癌组的预后较差，免疫组化分析显示驱动蛋白-11在肺腺癌患者中表达明显增强；结论：驱动蛋白-11在肺腺癌中高表达，且与肺腺癌的进展和预后相关，可作为肺腺癌靶向治疗的潜在靶点。
Abstract: Objective: To analyze the expression and biological significance of kinesin-11 in lung adenocarci-noma. Methods: The Cancer Genome Atlas (TCGA) public database was used to mine and analyze the expression of KIF11 in normal lung tissues and lung adenocarcinoma tissues, immunohistochemis-try was used to detect the expression and clinicopathological relationship between kinesin-11 in clinical lung adenocarcinoma samples, and the relationship between kinesin-11 and the survival prognosis of lung adenocarcinoma patients was analyzed by Kaplan-Meier Plotter database. Result: TCGA database analysis showed that the expression of kinesin-11 in lung adenocarcinoma tissues was higher than that in normal lung tissues, Kaplan-Meier Plotter analysis showed that the progno-sis of the highly expressed lung adenocarcinoma group was poor, and immunohistochemical analy-sis showed that the expression of kinesin-11 in lung adenocarcinoma patients was significantly en-hanced. Conclusion: Kinesin-11 is highly expressed in lung adenocarcinoma and is related to the progression and prognosis of lung adenocarcinoma, which can be used as a potential target for tar-geted therapy of lung adenocarcinoma.
文章引用：李子广, 孙小婷, 安然, 生海燕, 郝芳芳, 李伟. 基于机械学习分析KIF11在肺腺癌中的表达及生物学意义[J]. 临床医学进展, 2023, 13(8): 13090-13096. https://doi.org/10.12677/ACM.2023.1381833

参考文献

[1] Conger, R.L., Mora, J., Straza, M.W., et al. (2023) Evolution in the Presence and Evidence Category of Radiation Ther-apy Treatment Recommendations in the National Comprehensive Cancer Network Clinical Practice Guidelines in Oncol-ogy. Advances in Radiation Oncology, 8, Article ID: 101206. [Google Scholar] [CrossRef] [PubMed]
[2] Economopoulou, P. and Mountzios, G. (2018) The Emerging Treatment Landscape of Advanced Non-Small Cell Lung Cancer. Annals Translational Medicine, 6, Article 138. [Google Scholar] [CrossRef] [PubMed]
[3] Fox, A.H., Nishino, M., Osarogiagbon, R.U., et al. (2023) Acquiring Tissue for Advanced Lung Cancer Diagnosis and Comprehensive Biomarker Testing: A National Lung Cancer Roundtable Best-Practice Guide. CA: A Cancer Journal for Clinicians, 73, 358-375. [Google Scholar] [CrossRef] [PubMed]
[4] Villaruz, L.C., Socinski, M.A. and Weiss, J. (2023) Guidance for Clini-cians and Patients with Non-Small Cell Lung Cancer in the Time of Precision Medicine. Frontiers in Oncology, 13, Arti-cle ID: 1124167. [Google Scholar] [CrossRef] [PubMed]
[5] Lucanus, A.J. and Yip, G.W. (2018) Kinesin Superfamily: Roles in Breast Cancer, Patient Prognosis and Therapeutics. Oncogene, 37, 833-838. [Google Scholar] [CrossRef] [PubMed]
[6] Camlin, N.J., McLaughlin, E.A. and Holt, J.E. (2017) Motoring through: The Role of Kinesin Superfamily Proteins in Female Meiosis. Human Reproduction Update, 23, 409-420. [Google Scholar] [CrossRef] [PubMed]
[7] Yukawa, M., Teratani, Y. and Toda, T. (2020) How Essential Kine-sin-5 Becomes Non-Essential in Fission Yeast: Force Balance and Microtubule Dynamics Matter. Cells, 9, Article 1154. [Google Scholar] [CrossRef] [PubMed]
[8] Asbaghi, Y., Thompson, L.L., Lichtensztejn, Z., et al. (2017) KIF11 Si-lencing and Inhibition Induces Chromosome Instability that May Contribute to Cancer. Genes Chromosomes Cancer, 56, 668-680. [Google Scholar] [CrossRef] [PubMed]
[9] Guo, X., Zhou, L., Wu, Y., et al. (2022) KIF11 as a Potential Pan-Cancer Immunological Biomarker Encompassing the Disease Staging, Prognoses, Tumor Microenvironment, and Therapeutic Responses. Oxidative Medicine and Cellular Longevity, 2022, Article ID: 2764940. [Google Scholar] [CrossRef] [PubMed]
[10] Liu, J., Tian, Y., Yi, L., et al. (2022) High KIF11 Expression Is Asso-ciated with Poor Outcome of NSCLC. Tumori Journal, 108, 40-46. [Google Scholar] [CrossRef] [PubMed]
[11] Gong, K., Zhou, H., Liu, H., et al. (2021) Identification and Inte-grate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis. Technology in Cancer Research & Treatment, 20, 1-15. [Google Scholar] [CrossRef] [PubMed]
[12] Noll, J.E, Jeffery, J, Al-Ejeh, et al. (2011) Mutant P53 Drives Multinucleation and Invasion through a Process that Is Suppressed by ANKRD11. Oncogene, 31, 2836-2848. [Google Scholar] [CrossRef] [PubMed]
[13] Fu, F., Zhang, Y., Gao, Z., et al. (2020) Development and Validation of a Five-Gene Model to Predict Postoperative Brain Metastasis in Operable Lung Adenocarcinoma. International Journal of Cancer, 147, 584-592. [Google Scholar] [CrossRef] [PubMed]
[14] Li, Z., Yu, B., Qi, F., et al. (2021) KIF11 Serves as an Independent Prog-nostic Factor and Therapeutic Target for Patients with Lung Adenocarcinoma. Frontiers in Oncology, 11, Article ID: 670218. [Google Scholar] [CrossRef] [PubMed]

为你推荐