单羧酸转运蛋白MCT1和MCT4在肾透明细胞癌中的表达水平作为靶向治疗预后指标的研究
The Study of the Expression of MCT1 and MCT4 as a Prognostic Indicator of Targeted Therapy in Renal Clear Cell Carcinoma
摘要: 目的:靶向治疗晚期肾透明细胞癌远未达到临床预想的效果。如何能寻找一种能够预测其治疗效果的生物标志物成为迫切需要解决的问题。本课题主要研究单羧酸转运蛋白MCT1和MCT4的表达水平与晚期肾癌靶向治疗疗效之间的关系,以期望找到准确的靶向治疗肾癌的预后因子。方法:采用组织芯片法检测2009~2017年75例接受索拉非尼或舒尼替尼治疗的肾透明细胞癌(clear cell renal cell carcinoma, ccRCC)组织中MCT1、MCT4的表达,探讨其与临床及病理指标以及预后之间的关系。结果:MCT1、MCT4的表达与年龄、肿瘤直径、肿瘤分期、Furmann分级、MSKCC无显著性差异(P > 0.05)。生存分析结果显示MCT1高表达与总生存期OS (P = 0.023, HR = 0.14, 95%CI = 0.03~0.50)以及肿瘤无进展期PFS (P = 0.026, HR = 0.19, HR = 0.19, 95%CI = 0.07~0.54)显著相关。MCT4高表达与OS (P = 0.015, HR = 0.16, 95%CI = 0.04~0.56)和PFS (P = 0.03, HR = 0.29 95%CI = 0.12~0.73)显著有关。COX回归分析显示MCT4为独立预后因素,MCT4高表达与OS (P = 0.03, HR = 0.09, 95%CI = 0.12~0.82)和PFS (P = 0.047, HR = 0.35, 95%CI = 0.12~0.99)显著有关。MCT1表达水平与PFS相关(P = 0.014, HR = 0.26, 95%CI = 0.09~0.76)而与OS无显著相关(P = 0.79)。结论:MCT1和MCT4的表达水平与OS和PFS明显相关。肿瘤MCT1、MCT4表达水平是预测ccRCC或靶向治疗疗效预后的独立因素,因此MCT1和MCT4表达水平可能成为预测靶向治疗效果的新生物标记物。
Abstract: Purpose: Targeted therapy for advanced renal clear cell carcinoma is far from achieving the expected clinical effect. How to find a biomarker that can predict its therapeutic effect has become an urgent problem to be solved. This project is to study the relationship between the expression levels of MCT1 and MCT4 and the efficacy of targeted therapy in advanced renal cell carcinoma, in order to find the accurate prognostic factors of targeted therapy for renal cell carcinoma. Methods: Tissue microarray was used to detect the expression of MCT1 and MCT4 in 75 cases of clear cell renal cell carcinoma (ccRCC) treated with sorafenib or sunitinib from 2009 to 2017. Results: The expression of MCT1 and MCT4 had no significant difference with age, tumor diameter, tumor stage, Furmann grade and MSKCC (P > 0.05). Survival analysis showed that high expression of MCT1 was significantly associated with OS (P = 0.023, HR = 0.14, 95%CI = 0.03~0.50) and PFS (P = 0.026, HR = 0.19, HR = 0.19, 95%CI = 0.07~0.54). High expression of MCT4 was significantly associated with OS (P = 0.015, HR = 0.16, 95%CI = 0.04~0.56) and PFS (P = 0.03, HR = 0.29, 95%CI = 0.12~0.73). Cox regression analysis showed that MCT4 was an independent prognostic factor. High expression of MCT4 was significantly associated with OS (P = 0.03, HR = 0.09, 95%CI = 0.12~0.82) and PFS (P = 0.047, HR = 0.35, 95%CI = 0.12~0.99). MCT1 expression was correlated with PFS (P = 0.014, HR = 0.26, 95%CI = 0.09~0.76), but not with OS (P = 0.79). Conclusion: The expression levels of MCT1 and MCT4 were significantly correlated with OS and PFS. The expression levels of MCT1 and MCT4 are independent factors for predicting the prognosis of ccRCC or targeted therapy. Therefore, the expression levels of MCT1 and MCT4 may become new biomarkers for predicting the effect of targeted therapy.
文章引用:马光杰, 曹延炜, 王清海, 王洪阳, 宿梅杰, 董震. 单羧酸转运蛋白MCT1和MCT4在肾透明细胞癌中的表达水平作为靶向治疗预后指标的研究[J]. 临床医学进展, 2021, 11(2): 780-786. https://doi.org/10.12677/ACM.2021.112111

参考文献

[1] MCT1和MCT4的表达水平与肾癌靶向治疗的生存率、总生存期和无进展生存期明显相关。肿瘤MCT1、MCT4表达水平是预测ccRCC或靶向治疗疗效预后的独立因素,因此MCT1和MCT4表达水平可能成为预测靶向治疗效果的新生物标记物。
[2] 参考文献
[3] Zhi, W.I. and Kim, J.J. (2014) An Update on Current Management of Advanced Renal Cell Cancer, Biomarkers, and Future Directions. Annals of Cancer Research, 1, 1-10. http://dx.doi.org/10.7243/2049-7962-3-8 [Google Scholar] [CrossRef
[4] Georgescu, I., Gooding, R.J., Doiron, R.C., Day, A., Selvarajah, S., Davidson, C., et al. (2016) Molecular Characterization of Gleason Patterns 3 and 4 Prostate Cancer Using Reverse Warburg Effect-Associated Genes. Cancer Metab, 4, Article No. 8. [Google Scholar] [CrossRef] [PubMed]
[5] Bovenzi, C.D., Hamilton, J., Tassone, P., Johnson, J., Cognetti, D.M., Luginbuhl, A., et al. (2015) Prognostic Indications of Elevated MCT4 and CD147 across Cancer Types: A Meta-Analysis. BioMed Research International, 2015, Article ID: 242437. [Google Scholar] [CrossRef] [PubMed]
[6] Motzer, R.J., Rini, B.I., Bukowski, R.M., Curti, B.D., George, D.J., Hudes, G.R., et al. (2006) Sunitinib in Patients with Metastatic Renal Cell Carcinoma. JAMA, 295, 2516-2524. [Google Scholar] [CrossRef] [PubMed]
[7] Cao, Y.W., Liu, Y., Dong, Z., Guo, L., Kang, E.H., Wang, Y.H., Zhang, W. and Niu, H.T. (2018) Monocarboxylate Transporters MCT1 and MCT4 Are Independent Prognostic Biomarkers for the Survival of Patients with Clear Cell Renal Cell Carcinoma and Those Receiving Therapy Targeting Angiogenesis. Urologic Oncology: Seminars and Original Investigations, 36, 311.e15-311.e25. [Google Scholar] [CrossRef] [PubMed]
[8] Voss, M.H., Hakimi, A.A., Pham, C.G., Rose Brannon, A., Chen, Y.-B., Cunha, L.F., et al. (2014) Tumor Genetic Analyses of Patients with Metastatic Renal Cell Carcinoma and Extended Benefit from mTOR Inhibitor Therapy. Clinical Cancer Research, 20, 1955-1964. [Google Scholar] [CrossRef
[9] Motzer, R.J., Hutson, T.E., Tomczak, P., Dror Michaelson, M., Bukowski, R.M., Oudard, S., Negrier, S., Szczylik, C., et al. (2009) Overall Survival and Updated Results for Sunitinib Compared with Interferon Alfa in Patients with Metastatic Renal Cell Carcinoma. Journal of Clinical Oncology, 27, 3584-3590. [Google Scholar] [CrossRef
[10] Motzer, R.J., Hutson, T.E., Tomczak, P., Michaelson, D., Bukowski, R.M., Rixe, O., et al. (2007) Sunitinib versus Interferon Alfa in Metastatic Renal-Cell Carcinoma. New England Journal of Medicine, 356, 115-124. [Google Scholar] [CrossRef
[11] Pertega-Gomes, N., Vizcaino, J.R., Miranda-Goncalves, V., Pinheiro, C., Silva, J., Pereira, H., et al. (2011) Monocarboxylate Transporter 4 (MCT4) and CD147 Overexpression Is Associated with Poor Prognosis in Prostate Cancer. BMC Cancer, 11, Article No. 312. [Google Scholar] [CrossRef] [PubMed]
[12] Yu, J.H., Kim, J.M., Kim, J.K., Choi, S.J., Lee, K.S., Lee, J.-W., et al. (2017) Platelet-Derived Growth Factor Receptor Alpha in Hepatocellular Carcinoma Is a Prognostic Marker Independent of Underlying Liver Cirrhosis. Oncotarget, 8, 39534-39546. [Google Scholar] [CrossRef] [PubMed]
[13] Miranda-Goncalves, V., Honavar, M., Pinheiro, C., Martinho, O., Pires, M.M., Pinheiro, C., et al. (2013) Monocarboxylate Transporters (MCTs) in Gliomas: Expression and Exploitation as Therapeutic Targets. Neuro-Oncology, 15, 172-188. [Google Scholar] [CrossRef] [PubMed]
[14] Lee, J.Y., Lee, I., Chang, W.J., Ahn, S.M., Kim, H.S., Yoo, K.H., et al. (2016) MCT4 as a Potential Therapeutic Target for Metastatic Gastric Cancer with Peritoneal Carcinomatosis. Oncotarget, 7, 43492-43503. [Google Scholar] [CrossRef] [PubMed]
[15] Gallagher, S.M., Castorino, J.J., Wang, D. and Philp, N.J. (2007) Monocarboxylate Transporter 4 Regulates Maturation and Trafficking of CD147 to the Plasma Membrane in the Metastatic Breast Cancer Cell Line MDA-MB-231. Cancer Research, 67, 4182-4189. [Google Scholar] [CrossRef
[16] Ovens, M.J., Manoharan, C., Wilson, M.C., Murray, C.M. and Halestrap, A.P. (2010) The Inhibition of Monocarboxylate Transporter 2 (MCT2) by AR-C155858 Is Modulated by the Associated Ancillary Protein. Biochemical Journal, 431, 217-225. [Google Scholar] [CrossRef
[17] Noble, R.A., Bell, N., Blair, H., Sikka, A., Thomas, H., Phillips, N., et al. (2017) Inhibition of Monocarboxylate Transporter 1 by AZD3965 as a Novel Therapeutic Approach for the Treatment of Diffuse Large B-Cell Lymphoma and Burkitt Lymphoma. Haematologica, 102, 1247-1257. [Google Scholar] [CrossRef] [PubMed]