Journal of Southern Medical University ›› 2026, Vol. 46 ›› Issue (2): 394-402.doi: 10.12122/j.issn.1673-4254.2026.02.17
Huihao YU1(
), Yu SHAO2, Qianqian CHENG3, Xinrui ZHOU1, Haiping GENG1, Yan YANG1(
)
Received:2025-05-29
Online:2026-02-20
Published:2026-03-10
Contact:
Yan YANG
E-mail:yuhh0602@163.com;qiannianhupo@163.com
Huihao YU, Yu SHAO, Qianqian CHENG, Xinrui ZHOU, Haiping GENG, Yan YANG. High expression of MPP6 predicts poor patient prognosis and promotes malignant biological behaviors of hepatocellular carcinoma cells[J]. Journal of Southern Medical University, 2026, 46(2): 394-402.
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URL: https://www.j-smu.com/EN/10.12122/j.issn.1673-4254.2026.02.17
Fig.1 Expression of MPP6 in HCC tissues. A: Representative images of differential expression of MPP6 in HCC and ANT tissues. B: Differential expressions of MPP6 in 118 HCC tissues and 59 ANT tissues. C: Differential expressions of MPP6 in 59 pairs of HCC and ANT tissues. ***P<0.001 vs ANT.
| Factor | n | Low MPP6 expression | High MPP6 expression | P |
|---|---|---|---|---|
| Age (year) | ||||
| ≤60 | 75 | 29 (38.7%) | 46 (61.3%) | 0.557 |
| >60 | 43 | 19 (44.2%) | 24 (55.8%) | |
| Gender | ||||
| Female | 24 | 12 (50.0%) | 12 (50.0%) | 0.298 |
| Male | 94 | 36 (38.3%) | 58 (61.7%) | |
| Hepatic sclerosis | ||||
| No | 23 | 14 (60.9%) | 9 (39.1%) | 0.028 |
| Yes | 95 | 34 (35.8%) | 61 (64.2%) | |
| Child-Pugh | ||||
| A | 109 | 42 (38.5%) | 67 (61.5%) | 0.156 |
| B | 9 | 6 (66.7%) | 3 (33.3%) | |
| Alpha-fetoprotei (ng/mL)# | ||||
| ≤20 | 53 | 19 (35.8%) | 34 (64.2%) | 0.348 |
| >20 | 63 | 28 (44.4%) | 35 (55.6%) | |
| Alanine aminotransferase (U/L) | ||||
| ≤45 | 92 | 35 (38.0%) | 57 (62.0%) | 0.273 |
| >45 | 26 | 13 (50.0%) | 13 (50.0%) | |
| Glutamyltransferase (U/L) | ||||
| ≤45 | 61 | 28 (45.9%) | 33 (54.1%) | 0.232 |
| >45 | 57 | 20 (35.1%) | 37 (64.9%) | |
| Albumin (mg/L) | ||||
| ≤40 | 55 | 28 (50.9%) | 27 (49.1%) | 0.035 |
| >40 | 63 | 20 (31.7%) | 43 (68.3%) | |
| Tumor size (cm) | ||||
| ≤5 | 65 | 29 (44.6%) | 36 (55.4%) | 0.335 |
| >5 | 53 | 19 (35.8%) | 34 (64.2%) | |
| Tumor number | ||||
| Single | 98 | 40 (40.8%) | 58 (59.2%) | 0.628 |
| Multiple | 20 | 8 (40.0%) | 12 (60.0%) | |
| Tumor capsule | ||||
| Complete | 3 | 1 (33.3%) | 2 (66.7%) | 0.793 |
| Incomplete | 115 | 47 (40.9%) | 68 (59.1%) | |
| Portal vein branch tumor thrombus | ||||
| Yes | 5 | 1 (20.0%) | 4 (80.0%) | 0.336 |
| No | 113 | 47 (41.6%) | 66 (58.4%) | |
| BCLC staging | ||||
| 0-A | 49 | 24 (49.0%) | 25 (51.0%) | 0.127 |
| B-C | 69 | 23 (33.3%) | 46 (66.7%) |
Tab.1 Correlation analysis between MPP6 expression and clinicopathological features of HCC patients
| Factor | n | Low MPP6 expression | High MPP6 expression | P |
|---|---|---|---|---|
| Age (year) | ||||
| ≤60 | 75 | 29 (38.7%) | 46 (61.3%) | 0.557 |
| >60 | 43 | 19 (44.2%) | 24 (55.8%) | |
| Gender | ||||
| Female | 24 | 12 (50.0%) | 12 (50.0%) | 0.298 |
| Male | 94 | 36 (38.3%) | 58 (61.7%) | |
| Hepatic sclerosis | ||||
| No | 23 | 14 (60.9%) | 9 (39.1%) | 0.028 |
| Yes | 95 | 34 (35.8%) | 61 (64.2%) | |
| Child-Pugh | ||||
| A | 109 | 42 (38.5%) | 67 (61.5%) | 0.156 |
| B | 9 | 6 (66.7%) | 3 (33.3%) | |
| Alpha-fetoprotei (ng/mL)# | ||||
| ≤20 | 53 | 19 (35.8%) | 34 (64.2%) | 0.348 |
| >20 | 63 | 28 (44.4%) | 35 (55.6%) | |
| Alanine aminotransferase (U/L) | ||||
| ≤45 | 92 | 35 (38.0%) | 57 (62.0%) | 0.273 |
| >45 | 26 | 13 (50.0%) | 13 (50.0%) | |
| Glutamyltransferase (U/L) | ||||
| ≤45 | 61 | 28 (45.9%) | 33 (54.1%) | 0.232 |
| >45 | 57 | 20 (35.1%) | 37 (64.9%) | |
| Albumin (mg/L) | ||||
| ≤40 | 55 | 28 (50.9%) | 27 (49.1%) | 0.035 |
| >40 | 63 | 20 (31.7%) | 43 (68.3%) | |
| Tumor size (cm) | ||||
| ≤5 | 65 | 29 (44.6%) | 36 (55.4%) | 0.335 |
| >5 | 53 | 19 (35.8%) | 34 (64.2%) | |
| Tumor number | ||||
| Single | 98 | 40 (40.8%) | 58 (59.2%) | 0.628 |
| Multiple | 20 | 8 (40.0%) | 12 (60.0%) | |
| Tumor capsule | ||||
| Complete | 3 | 1 (33.3%) | 2 (66.7%) | 0.793 |
| Incomplete | 115 | 47 (40.9%) | 68 (59.1%) | |
| Portal vein branch tumor thrombus | ||||
| Yes | 5 | 1 (20.0%) | 4 (80.0%) | 0.336 |
| No | 113 | 47 (41.6%) | 66 (58.4%) | |
| BCLC staging | ||||
| 0-A | 49 | 24 (49.0%) | 25 (51.0%) | 0.127 |
| B-C | 69 | 23 (33.3%) | 46 (66.7%) |
| Factor | n | HR | 95%CI | P |
|---|---|---|---|---|
| Age (year) | ||||
| ≤60 | 75 | 1.404 | 0.932-2.114 | 0.105 |
| >60 | 43 | |||
| Gender | ||||
| Female | 24 | 1.027 | 0.621-1.697 | 0.919 |
| Male | 94 | |||
| Hepatic sclerosis | ||||
| No | 23 | 0.769 | 0.471-1.257 | 0.295 |
| Yes | 95 | |||
| Child-Pugh | ||||
| A | 109 | 0.925 | 0.448-1.912 | 0.834 |
| B | 9 | |||
| Alpha-fetoprotei (ng/mL)# | ||||
| ≤20 | 53 | 0.746 | 0.500-1.113 | 0.151 |
| >20 | 63 | |||
| Alanine aminotransferase (U/L) | ||||
| ≤45 | 92 | 1.441 | 0.909-2.287 | 0.120 |
| >45 | 26 | |||
| Glutamyltransferase (U/L) | ||||
| ≤45 | 61 | 1.464 | 0.983-2.180 | 0.061 |
| >45 | 57 | |||
| Albumin (mg/L) | ||||
| ≤40 | 55 | 1.064 | 0.712-1.591 | 0.761 |
| >40 | 63 | |||
| Tumor size (cm) | ||||
| ≤5 | 65 | 1.578 | 1.062-2.346 | 0.024 |
| >5 | 53 | |||
| Tumor number | ||||
| Single | 98 | 1.297 | 0.786-2.140 | 0.309 |
| Multiple | 20 | |||
| Tumor capsule | ||||
| Complete | 3 | 2.083 | 0.655-6.623 | 0.214 |
| Incomplete | 115 | |||
| Portal vein branch tumor thrombus | ||||
| Yes | 5 | 2.437 | 0.985-6.028 | 0.054 |
| No | 113 | |||
| BCLC staging | ||||
| 0-A | 49 | 1.497 | 0.995-2.251 | 0.053 |
| B-C | 64 | |||
| Postoperative treatment | ||||
| No | 42 | 0.771 | 0.511-1.612 | 0.214 |
| Yes | 76 | |||
| MPP6 Expression | ||||
| Low | 48 | 2.450 | 1.584-3.788 | <0.001 |
| High | 70 |
Tab.2 Univariate Cox regression analysis of prognostic factors for OS in postoperative HCC patients
| Factor | n | HR | 95%CI | P |
|---|---|---|---|---|
| Age (year) | ||||
| ≤60 | 75 | 1.404 | 0.932-2.114 | 0.105 |
| >60 | 43 | |||
| Gender | ||||
| Female | 24 | 1.027 | 0.621-1.697 | 0.919 |
| Male | 94 | |||
| Hepatic sclerosis | ||||
| No | 23 | 0.769 | 0.471-1.257 | 0.295 |
| Yes | 95 | |||
| Child-Pugh | ||||
| A | 109 | 0.925 | 0.448-1.912 | 0.834 |
| B | 9 | |||
| Alpha-fetoprotei (ng/mL)# | ||||
| ≤20 | 53 | 0.746 | 0.500-1.113 | 0.151 |
| >20 | 63 | |||
| Alanine aminotransferase (U/L) | ||||
| ≤45 | 92 | 1.441 | 0.909-2.287 | 0.120 |
| >45 | 26 | |||
| Glutamyltransferase (U/L) | ||||
| ≤45 | 61 | 1.464 | 0.983-2.180 | 0.061 |
| >45 | 57 | |||
| Albumin (mg/L) | ||||
| ≤40 | 55 | 1.064 | 0.712-1.591 | 0.761 |
| >40 | 63 | |||
| Tumor size (cm) | ||||
| ≤5 | 65 | 1.578 | 1.062-2.346 | 0.024 |
| >5 | 53 | |||
| Tumor number | ||||
| Single | 98 | 1.297 | 0.786-2.140 | 0.309 |
| Multiple | 20 | |||
| Tumor capsule | ||||
| Complete | 3 | 2.083 | 0.655-6.623 | 0.214 |
| Incomplete | 115 | |||
| Portal vein branch tumor thrombus | ||||
| Yes | 5 | 2.437 | 0.985-6.028 | 0.054 |
| No | 113 | |||
| BCLC staging | ||||
| 0-A | 49 | 1.497 | 0.995-2.251 | 0.053 |
| B-C | 64 | |||
| Postoperative treatment | ||||
| No | 42 | 0.771 | 0.511-1.612 | 0.214 |
| Yes | 76 | |||
| MPP6 Expression | ||||
| Low | 48 | 2.450 | 1.584-3.788 | <0.001 |
| High | 70 |
| Factor | n | HR | 95% CI | P |
|---|---|---|---|---|
| Tumor size (cm) | ||||
| ≤5 | 65 | 1.405 | 0.941-2.098 | 0.096 |
| >5 | 53 | |||
| MPP6 Expression | ||||
| Low | 48 | 2.335 | 1.502-3.629 | 0.012 |
| High | 70 |
Tab.3 Multivariate Cox regression analysis of prognostic factors for OS in postoperative HCC patients
| Factor | n | HR | 95% CI | P |
|---|---|---|---|---|
| Tumor size (cm) | ||||
| ≤5 | 65 | 1.405 | 0.941-2.098 | 0.096 |
| >5 | 53 | |||
| MPP6 Expression | ||||
| Low | 48 | 2.335 | 1.502-3.629 | 0.012 |
| High | 70 |
Fig.3 HCC cell screening and construction of Hep3B cells with MPP6 gene knockdown. A: Western blotting for detecting expression level of MPP6 in different HCC cell lines (*P<0.05, **P<0.01, ***P<0.001 vs LO2 cells). B: Western blotting for assessing efficiency of MPP6 gene knockdown in Hep3B cells (***P<0.001 vs sh NC).
Fig.4 Effect of MPP6 knockdown on proliferation, migration and invasion of Hep3B cells. A: Colony formation assay for assessing cell proliferation following MPP6 knockdown. B: Wound-healing assay for assessing migration ability of Hep3B cells with MPP6 knockdown (Original magnification: ×40). C: Transwell assay for assessing migration and invasion capabilities of Hep3B cells with MPP6 knockdown (×100). *P<0.05, **P<0.01, ***P<0.001 vs sh NC.
Fig.5 Effect of MPP6 knockdown on cell cycle distribution of Hep3B cells. A: Flow cytometry for assessing the impact ofMPP6 knockdown on cell cycle distribution of Hep3B cells. B: Quantitative analysis of cell cycle distribution in Hep3Bcells. ***P<0.001 vs sh NC.
| [1] | Han BF, Zheng RS, Zeng HM, et al. Cancer incidence and mortality in China, 2022[J]. J Natl Cancer Cent, 2024, 4(1): 47-53. doi:10.1016/j.jncc.2024.01.006 |
| [2] | Jiang YB, Dong XF, Zhang YY, et al. Navigating the complexities: challenges and opportunities in conversion therapy for advanced hepatocellular carcinoma[J]. Clin Exp Med, 2025, 25(1): 169. doi:10.1007/s10238-025-01698-9 |
| [3] | Llovet JM, Kelley RK, Villanueva A, et al. Hepatocellular carcinoma[J]. Nat Rev Dis Primers, 2021, 7: 6. doi:10.1038/s41572-020-00240-3 |
| [4] | 张力苹, 刘喜娟, 胡 潇, 等. 经动脉化疗栓塞续贯肝动脉灌注化疗联合TKI和PD-1单抗在晚期肝癌一线治疗中的疗效观察[J]. 南方医科大学学报, 2024, 44(9):1831-8. doi:10.12122/j.issn.1673-4254.2024.09.24 |
| [5] | Wang Y, Deng BC. Hepatocellular carcinoma: molecular mechanism, targeted therapy, and biomarkers[J]. Cancer Metastasis Rev, 2023, 42(3): 629-52. doi:10.1007/s10555-023-10084-4 |
| [6] | Cen CH, Liu XY, He W, et al. Novel approaches in CRISPR/Cas12a-based sensing for HCC diagnosis - A review (2020–2025)[J]. J Pharm Biomed Anal, 2025, 262: 116878. doi:10.1016/j.jpba.2025.116878 |
| [7] | 南月敏, 赵素贤, 刘领弟. 肝细胞癌早诊早治技术研究进展与临床应用[J]. 中华肝脏病杂志, 2025, 33(4):307-9. |
| [8] | Siegel RL, Miller KD, Wagle NS, et al. Cancer statistics, 2023[J]. CA A Cancer J Clinicians, 2023, 73(1): 17-48. doi:10.3322/caac.21763 |
| [9] | Liu QY, Wang JH, Guo ZX, et al. CMTM6 promotes hepatocellular carcinoma progression through stabilizing β-catenin[J]. Cancer Lett, 2024, 583: 216585. doi:10.1016/j.canlet.2023.216585 |
| [10] | Chytła A, Gajdzik-Nowak W, Olszewska P, et al. Not just another scaffolding protein family: the multifaceted MPPs[J]. Molecules, 2020, 25(21): E4954. doi:10.3390/molecules25214954 |
| [11] | Schilders G, Raijmakers R, Raats JM, et al. MPP6 is an exosome-associated RNA-binding protein involved in 5.8S rRNA maturation[J]. Nucleic Acids Res, 2005, 33(21): 6795-804. doi:10.1093/nar/gki982 |
| [12] | Xu F, Si X, Du J, et al. Downregulating SynCAM and MPP6 expression is associated with ovarian cancer progression[J]. Oncol Lett, 2019, 18(3): 2477-83. |
| [13] | Djurec M, Graña O, Lee A, et al. Saa3 is a key mediator of the protumorigenic properties of cancer-associated fibroblasts in pancreatic tumors[J]. Proc Natl Acad Sci USA, 2018, 115(6): E1147-56. doi:10.1073/pnas.1717802115 |
| [14] | Cheng Q, Wang W, Liu J, et al. Elevated MPP6 expression correlates with an unfavorable prognosis, angiogenesis and immune evasion in hepatocellular carcinoma[J]. Front Immunol, 2023, 14: 1173848. doi:10.3389/fimmu.2023.1173848 |
| [15] | 中华人民共和国国家卫生健康委员会医政司. 原发性肝癌诊疗指南(2024年版)[J]. 协和医学杂志, 2024, 15(3):532-59. |
| [16] | Song J, Liu Y, Liu F, et al. The 14-3-3σ protein promotes HCC anoikis resistance by inhibiting EGFR degradation and thereby activating the EGFR-dependent ERK1/2 signaling pathway[J]. Theranostics, 2021, 11(3): 996-1015. doi:10.7150/thno.51646 |
| [17] | Mabeta P, Steenkamp V. The VEGF/VEGFR axis revisited: implications for cancer therapy[J]. Int J Mol Sci, 2022, 23(24): 15585. doi:10.3390/ijms232415585 |
| [18] | Xiang Z, Li JR, Xu YY, et al. Cell differentiation-related signaling pathways in hepatocellular carcinoma metastasis[J]. Cancer Lett, 2025, 627: 217846. doi:10.1016/j.canlet.2025.217846 |
| [19] | Chastney MR, Kaivola J, Leppänen VM, et al. The role and regulation of integrins in cell migration and invasion[J]. Nat Rev Mol Cell Biol, 2025, 26(2): 147-67. doi:10.1038/s41580-024-00777-1 |
| [20] | Li Y, Liu F, Cai Q, et al. Invasion and metastasis in cancer: molecular insights and therapeutic targets[J]. Signal Transduct Target Ther, 2025, 10(1): 57. doi:10.1038/s41392-025-02148-4 |
| [21] | Zhang Y, Tang XL, Liu L, et al. GLO1 regulates hepatocellular carcinoma proliferation and migration through the cell cycle pathway[J]. BMC Cancer, 2024, 24(1): 1297. doi:10.1186/s12885-024-12927-x |
| [22] | Nair G, Saraswathy GR, Aranjani JM, et al. Unraveling a novel therapeutic facet of Etravirine to confront Hepatocellular Carcinoma via disruption of cell cycle[J]. Sci Rep, 2025, 15(1): 4979. doi:10.1038/s41598-025-87676-3 |
| [23] | 张 诺, 张 震, 张雨路, 等. PCID2在胃癌组织中高表达并通过调控细胞周期进程和增殖影响患者预后[J]. 南方医科大学学报, 2024, 44(2):324-32. |
| [24] | Gaillard H, García-Muse T, Aguilera A. Replication stress and cancer[J]. Nat Rev Cancer, 2015, 15(5): 276-89. doi:10.1038/nrc3916 |
| [25] | Hanahan D. Hallmarks of cancer: new dimensions[J]. Cancer Discov, 2022, 12(1): 31-46. doi:10.1158/2159-8290.cd-21-1059 |
| [26] | Yang Y, Zhang N, Zhu J, et al. Downregulated connexin32 promotes EMT through the Wnt/β-catenin pathway by targeting Snail expression in hepatocellular carcinoma[J]. Int J Oncol, 2017, 50(6): 1977-88. doi:10.3892/ijo.2017.3985 |
| [27] | Tang L, Ji Y, Ni C, et al. EIF4A3-mediated biogenesis of CircFADS1 promotes the progression of hepatocellular carcinoma via Wnt/β-catenin pathway[J]. Adv Sci: Weinh, 2025, 12(14): e2411869. doi:10.1002/advs.202411869 |
| [28] | Wang JH, Yu HM, Dong W, et al. N6-methyladenosine–mediated up-regulation of FZD10 regulates liver cancer stem cells’ properties and lenvatinib resistance through WNT/β-catenin and hippo signaling pathways[J]. Gastroenterology, 2023, 164(6): 990-1005. doi:10.1053/j.gastro.2023.01.041 |
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