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Kreis NN, Moon HH, Wordeman L, Louwen F, Solbach C, Yuan J, Ritter A. KIF2C/MCAK a prognostic biomarker and its oncogenic potential in malignant progression, and prognosis of cancer patients: a systematic review and meta-analysis as biomarker. Crit Rev Clin Lab Sci 2024:1-31. [PMID: 38344808 DOI: 10.1080/10408363.2024.2309933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/22/2024] [Indexed: 03/24/2024]
Abstract
KIF2C/MCAK (KIF2C) is the most well-characterized member of the kinesin-13 family, which is critical in the regulation of microtubule (MT) dynamics during mitosis, as well as interphase. This systematic review briefly describes the important structural elements of KIF2C, its regulation by multiple molecular mechanisms, and its broad cellular functions. Furthermore, it systematically summarizes its oncogenic potential in malignant progression and performs a meta-analysis of its prognostic value in cancer patients. KIF2C was shown to be involved in multiple crucial cellular processes including cell migration and invasion, DNA repair, senescence induction and immune modulation, which are all known to be critical during the development of malignant tumors. Indeed, an increasing number of publications indicate that KIF2C is aberrantly expressed in multiple cancer entities. Consequently, we have highlighted its involvement in at least five hallmarks of cancer, namely: genome instability, resisting cell death, activating invasion and metastasis, avoiding immune destruction and cellular senescence. This was followed by a systematic search of KIF2C/MCAK's expression in various malignant tumor entities and its correlation with clinicopathologic features. Available data were pooled into multiple weighted meta-analyses for the correlation between KIF2Chigh protein or gene expression and the overall survival in breast cancer, non-small cell lung cancer and hepatocellular carcinoma patients. Furthermore, high expression of KIF2C was correlated to disease-free survival of hepatocellular carcinoma. All meta-analyses showed poor prognosis for cancer patients with KIF2Chigh expression, associated with a decreased overall survival and reduced disease-free survival, indicating KIF2C's oncogenic potential in malignant progression and as a prognostic marker. This work delineated the promising research perspective of KIF2C with modern in vivo and in vitro technologies to further decipher the function of KIF2C in malignant tumor development and progression. This might help to establish KIF2C as a biomarker for the diagnosis or evaluation of at least three cancer entities.
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Affiliation(s)
- Nina-Naomi Kreis
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Ha Hyung Moon
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Linda Wordeman
- Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, USA
| | - Frank Louwen
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Christine Solbach
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Juping Yuan
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Andreas Ritter
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
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Guan Q, Zhao P, Tian Y, Yang L, Zhang Z, Li J. Identification of cancer risk assessment signature in patients with chronic obstructive pulmonary disease and exploration of the potential key genes. Ann Med 2022; 54:2309-2320. [PMID: 35993327 PMCID: PMC9415445 DOI: 10.1080/07853890.2022.2112070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
It is essential to assess the cancer risk for patients with chronic obstructive pulmonary disease (COPD). Comparing gene expression data from patients with lung cancer (a total of 506 samples) and those with cancer-adjacent normal lung tissues (a total of 370 samples), we generated a qualitative transcriptional signature consisting of 2046 gene pairs. The signature was verified in an evaluation dataset comprising 18 subjects with severe disease and 52 subjects with moderate disease (Wilcoxon rank-sum test; p = 7.33 × 10-5). Similar results were obtained in other independent datasets. Among the gene pairs in the signature, 326 COPD stage-related gene pairs were identified based on Spearman's rank correlation tests and those gene pairs comprised 368 unique genes. Of these 368 genes, 16 genes were significantly dysregulated in COPD rat model data compared with control data. Some of these genes (Dhx16, Upf2, Notch3, Sec61a1, Dyrk2, and Hmmr) were altered when the COPD rat model was treated with traditional Chinese medicines (TCM), including Bufei Yishen formula, Bufei Jianpi formula, and Yiqi Zishen formula. Overall, the signature could predict the cancer incidence-risk of COPD and the identified key genes might provide guidance regarding both the treatment of COPD using TCM and the prevention of cancer in patients with COPD. KEY MESSAGESA cancer risk assessment signature was identified in patients with COPD.The signature is insensitive to batch effects and is well verified.COPD key genes identified in this study might play a crucial role in TCM treatment and cancer prevention.
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Affiliation(s)
- Qingzhou Guan
- Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.,Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China
| | - Peng Zhao
- Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.,Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yange Tian
- Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.,Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China
| | - Liping Yang
- School of Basic Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Zhenzhen Zhang
- Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.,Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jiansheng Li
- Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of P.R. China, Henan University of Chinese Medicine, Zhengzhou, China.,The First Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China
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Minina VI, Druzhinin VG, Larionov AV, Baranova ED, Buslaev VY, Matskova LV, Bakanova ML. Microarray-Based Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Lung Cancer Patients. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422070122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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