南方医科大学学报 ›› 2026, Vol. 46 ›› Issue (9): 2056-2068.doi: 10.12122/j.issn.1673-4254.2026.09.06
• • 上一篇
收稿日期:2026-02-09
出版日期:2026-09-20
发布日期:2026-09-30
通讯作者:
何景萍
E-mail:27346945@qq.com;hjp666@smu.edu.cn
作者简介:黄丽萍,讲师,硕士,E-mail: 27346945@qq.com
基金资助:
Liping HUANG1(
), Yu SHAO3, Wanbing ZHOU3, Jingping HE2(
)
Received:2026-02-09
Online:2026-09-20
Published:2026-09-30
Contact:
Jingping HE
E-mail:27346945@qq.com;hjp666@smu.edu.cn
摘要:
目的 探究组蛋白H3第18位赖氨酸乳酸化(H3K18la)修饰调控S100钙结合蛋白A2(S100A2)转录在肝细胞癌(HCC)发生发展中的作用及机制。 方法 生物信息学分析HCC单细胞转录组数据,筛选差异基因及富集通路;检测HCC细胞系及肝正常细胞系的细胞内乳酸含量及组蛋白乳酸化水平;使用糖酵解抑制剂(2-DG/Oxamate)处理,通过Western blotting、CCK-8、克隆形成及Transwell评估糖酵解抑制剂对HCC细胞增殖、迁移和侵袭的影响。染色质免疫沉淀-实时荧光定量PCR(ChIP-qPCR)检测H3K18la在S100A2启动子的富集。结合TCGA分析S100A2表达与预后。构建S100A2过表达/敲低模型,联合2-DG或乳酸进行回复实验,验证H3K18la通过S100A2影响HCC恶性表型。STRING在线工具、分子对接及免疫共沉淀(Co-IP)验证S100A2与KRT6A蛋白的相互作用。Western blotting检测HCC细胞核内β-catenin及上皮-间质转化标志物(Vimentin、E-cadherin),明确H3K18la对Wnt/β-catenin通路的调控。 结果 HCC糖酵解及丙酮酸代谢通路上调,细胞内乳酸含量升高(P<0.001)。HCC细胞系Pan Kla及H3K18la表达水平升高,缺氧条件下H3K18la升高最显著(P<0.001)。糖酵解抑制剂可浓度依赖性降低H3K18la,并抑制HCC细胞增殖、克隆形成、迁移和侵袭能力。S100A2在HCC中转录和蛋白水平均上调,高表达与患者不良预后相关(P<0.05)。S100A2促进HCC细胞的增殖、迁移及侵袭。经2-DG处理后,S100A2蛋白水平及上述促癌功能均被逆转。S100A2与KRT6A直接相互作用。敲低KRT6A降低核内β-catenin,过表达则相反;外源乳酸可逆转敲低KRT6A所致的β-catenin下调,该效应被XAV939阻断。2-DG降低β-catenin及上皮-间质转化标志物蛋白水平,过表达S100A2或KRT6A可逆转此效应。 结论 HCC源性乳酸介导组蛋白H3K18乳酸化修饰增强并通过激活S100A2转录正向调控Wnt/β-catenin通路,最终促进HCC细胞的增殖、迁移、侵袭及上皮-间质转化。
黄丽萍, 邵玉, 周婉冰, 何景萍. 肝细胞癌源性乳酸介导组蛋白H3K18乳酸化修饰调控S100A2转录促进肝癌细胞的增殖、迁移、侵袭及上皮间质转化[J]. 南方医科大学学报, 2026, 46(9): 2056-2068.
Liping HUANG, Yu SHAO, Wanbing ZHOU, Jingping HE. Hepatocellular carcinoma-derived lactate-mediated histone H3K18 lactylation modifies S100A2 transcription to promote proliferation, migration, invasion and epithelial-mesenchymal transition of hepatocellular carcinoma cells[J]. Journal of Southern Medical University, 2026, 46(9): 2056-2068.
图1 HCC中糖酵解代谢途径及乳酸水平变化情况
Fig.1 Changes in pyruvate metabolic process and lactate levels in HCC. A-C: ScRNA-seq analysis of HCC tissues and paired adjacent normal liver tissues from 3 patients with primary HCC. D: Scatter plot of DEGs between normal and tumor samples. Red dots, upregulated genes in tumors; blue dots, downregulated genes; gray dots, genes without significant changes. Selection criteria: adjusted P value (Padj)<0.05 and |log2(fold change)|≥1. E: Schematic illustration of the glycolytic pathway. F: GSEA showing enrichment of pyruvate metabolism in HCC. G: GO enrichment analysis of upregulated DEGs in epithelial cells from tumor samples. H: Lactate levels in HCC and normal hepatic cell lines. Data are presented as Mean±SD (n=3). **P<0.01 vs L-O2 group.
图2 糖酵解驱动的组蛋白H3K18la修饰促进HCC进展
Fig.2 Glycolysis-driven H3K18la promotes HCC progression. A: Western blotting of Pan Kla and H3K18la levels in HCC and normal hepatic cell lines. B, C: Western blotting of H3K9la, H3K18la, and H4K8la levels in HepG2 cells under normoxia and hypoxia. D: Schematic of glycolytic pathway and its inhibitors. E, F: Western blotting and of H3K18la levels following treatment with graded concentrations of 2-DG and oxamate for 24 h in hypoxia (1% oxygen). G: CCK-8 assay for the effect of 2-DG and oxamate for 24 h in hypoxia (1% oxygen) on the proliferation of HepG2 cells. H-I: Colony formation assay of HepG2 cells in different treatment groups with hematoxylin staining. J-K: Transwell migration and invasion assays of HepG2 cells in different treatment groups with crystal violet staining (Scale bar=100 μm). Data are presented as Mean±SD (n=3). *P<0.05, **P<0.01, ***P<0.001 vs Normal, Normoxia or Ctrl group; ^P<0.05, ^^^P<0.001 vs 2-DG (1 mmol/L) or oxamate (1 mmol/L) group; &&P<0.01 vs 2-DG (2 mmol/L) or oxamate (2 mmol/L) group.
图3 H3K18la介导S100A2转录激活并与HCC不良预后相关
Fig.3 H3K18la-mediated transcriptional activation of S100A2 is associated with poor prognosis in HCC. A: ChIP-qPCR analysis of H3K18la enrichment at the S100A2 promoter. B, C: Western blotting of S100A2 expression in HepG2 cells under hypoxia at indicated time points. D, E: Western blotting of S100A2 expression in HepG2 cells treated with lactate at indicated time points. F-H: Western blotting of H3K18la and S100A2 expression in HepG2 cells treated with 2-DG, lactate or 2-DG with lactate. I: Analysis of S100A2 expression in LIHC using TCGA database. J: Kaplan-Meier analysis of the association between S100A2 expression and prognosis in LIHC patients. K, L: Western blotting of S100A2 expression in HCC and normal hepatic cell lines. Data are presented as Mean±SD (n=3). *P<0.05, **P<0.01, ***P<0.001 vs IgG, Hypoxia (0 h), Lactate (0 mmol/L), Ctrl or L-O2 group; ^^P<0.01, ^^^P<0.001 vs Hypoxia (6 h), Lactate (5 mmol/L) group or Lactate group; &&P<0.01, &&&P<0.001 vs Hypoxia (12 h) or Lactate (10 mmol/L) group.
图4 S100A2促进HCC细胞的增殖、迁移和侵袭能力
Fig.4 S100A2 promotes proliferation, migration, and invasion of HCC cells. A-C: RT-qPCR and Western blotting of S100A2 mRNA and protein expression in 5 HCC cell lines. D-G: Western blotting and RT-qPCR analysis of S100A2 expression in HCC cells following overexpression or knockdown. H-I: CCK-8 assay for cell proliferation in different treatment groups. J, K: Colony formation assay of the cells with hematoxylin staining. L, M: Transwell migration and invasion assays with crystal violet staining (Scale bar=100 μm). Data are presented as Mean±SD (n=3). *P<0.05, **P<0.01, ***P<0.001 vs si-Ctrl or Ctrl group.
图5 H3K18la修饰通过调控S100A2表达促进HCC细胞的增殖、迁移和侵袭能力
Fig.5 H3K18la modification promotes proliferation, migration, and invasion of HCC cells by regulating S100A2 expression. A: Western blotting of H3K18la and S100A2 expression in HepG2 cells in different treatment groups. B, C: Colony formation assay with hematoxylin staining. D: Transwell migration and invasion assays with crystal violet staining(Scale bar=100 μm). E: Western blotting of H3K18la and S100A2 expression in Huh-7 cells in different treatment groups. F, G: Colony formation assay with hematoxylin staining. H: Transwell migration and invasion assays with crystal violet staining (Scale bar=100 μm). Data are presented as Mean±SD (n=3). *P<0.05, **P<0.01, ***P<0.001 vs si-Ctrl or Ctrl group; ^^P<0.01, ^^^P<0.001 vs si-S100A2 or S100A2 group.
图6 S100A2与KRT6A存在相互作用
Fig.6 Protein-protein interaction between S100A2 and KRT6A. A: Protein-protein interaction network of S100A2. B: Surface representation of protein docking model between S100A2 (pink) and KRT6A (blue) with docking residues. C, D: Co-IP assay for detecting the interaction between S100A2 and KRT6A.
图7 KRT6A调控Wnt/β-catenin信号通路与EMT促进HCC进展
Fig.7 KRT6A promotes HCC progression by regulating the Wnt/β-catenin signaling pathway and EMT. A,B: Western blotting of nuclear β‑catenin protein levels following KRT6A knockdown and overexpression; C: Western blotting of nuclear β-catenin in different treatment groups. D: Western blotting analysis of nuclear β-catenin in different treatment groups. E: Western blotting of vimentin and E-cadherin expression in different treatment groups. F-G: Western blotting analysis of Vimentin and E-cadherin expression following KRT6A knockdown and overexpression. Data are presented as Mean±SD (n=3). *P<0.05, **P<0.01, ***P<0.001 vs si-Ctrl or Ctrl group; ^^^P<0.001 vs Lactate or 2-DG group.
图8 H3K18la激活 S100A2/KRT6A/β-catenin信号轴促进肝细胞癌上皮间质转化过程的机制示意图
Fig.8 Mechanism of H3K18la for activating the S100A2/KRT6A/β-catenin signaling axis to promote the EMT process in HCC.
| [1] | Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024, 74(3): 229-63. doi:10.3322/caac.21834 |
| [2] | Yilma M, Houhong Xu R, Saxena V, et al. Survival outcomes among patients with hepatocellular carcinoma in a large integrated US health system[J]. JAMA Netw Open, 2024, 7(9): e2435066. doi:10.1001/jamanetworkopen.2024.35066 |
| [3] | Wang J, Wang F, Wang N, et al. Diagnostic and prognostic value of protein post-translational modifications in hepatocellular carcinoma[J]. J Clin Transl Hepatol, 2023, 11(5):1192-200. |
| [4] | Yang ZJ, Yan C, Ma JQ, et al. Lactylome analysis suggests lactylation-dependent mechanisms of metabolic adaptation in hepatocellular carcinoma[J]. Nat Metab, 2023, 5(1): 61-79. doi:10.1038/s42255-022-00710-w |
| [5] | Chen LH, Huang LX, Gu Y, et al. Lactate-lactylation hands between metabolic reprogramming and immunosuppression[J]. Int J Mol Sci, 2022, 23(19): 11943. doi:10.3390/ijms231911943 |
| [6] | Yu J, Chai PW, Xie MY, et al. Histone lactylation drives oncogenesis by facilitating m6A reader protein YTHDF2 expression in ocular melanoma[J]. Genome Biol, 2021, 22(1): 85. doi:10.1186/s13059-021-02308-z |
| [7] | Yang JF, Luo L, Zhao CY, et al. A positive feedback loop between inactive VHL-triggered histone lactylation and PDGFRβ signaling drives clear cell renal cell carcinoma progression[J]. Int J Biol Sci, 2022, 18(8): 3470-83. doi:10.7150/ijbs.73398 |
| [8] | Li T, Hu PS, Zuo ZX, et al. METTL3 facilitates tumor progression via an m6A-IGF2BP2-dependent mechanism in colorectal carcinoma[J]. Mol Cancer, 2019, 18(1): 112. doi:10.1186/s12943-019-1038-7 |
| [9] | Xu HY, Li LQ, Wang SS, et al. Royal jelly acid suppresses hepatocellular carcinoma tumorigenicity by inhibiting H3 histone lactylation at H3K9la and H3K14la sites[J]. Phytomedicine, 2023, 118: 154940. doi:10.1016/j.phymed.2023.154940 |
| [10] | Pan LH, Feng F, Wu JQ, et al. Demethylzeylasteral targets lactate by inhibiting histone lactylation to suppress the tumorigenicity of liver cancer stem cells[J]. Pharmacol Res, 2022, 181: 106270. doi:10.1016/j.phrs.2022.106270 |
| [11] | Li WH, Zhou C, Yu L, et al. Tumor-derived lactate promotes resistance to bevacizumab treatment by facilitating autophagy enhancer protein RUBCNL expression through histone H3 lysine 18 lactylation (H3K18la) in colorectal cancer[J]. Autophagy, 2024, 20(1): 114-30. doi:10.1080/15548627.2023.2249762 |
| [12] | Hountis P, Matthaios D, Froudarakis M, et al. S100A2 protein and non-small cell lung cancer. The dual role concept[J]. Tumor Biol, 2014, 35(8): 7327-33. doi:10.1007/s13277-014-2117-4 |
| [13] | Zhang T, Woods TL, Elder JT. Differential responses of S100A2 to oxidative stress and increased intracellular calcium in normal, immortalized, and malignant human keratinocytes[J]. J Investig Dermatol, 2002, 119(5): 1196-201. doi:10.1046/j.1523-1747.2002.19520.x |
| [14] | Huang GC, Zhang J, Qing G, et al. S100A2Silencing relieves epithelial-mesenchymal transition in pulmonary fibrosis by inhibiting the Wnt/β-catenin signaling pathway[J]. DNA Cell Biol, 2021, 40(1): 18-25. doi:10.1089/dna.2020.6030 |
| [15] | Chen QB, Guo HC, Jiang HJ, et al. S100A2 induces epithelial-mesenchymal transition and metastasis in pancreatic cancer by coordinating transforming growth factor β signaling in SMAD4-dependent manner[J]. Cell Death Discov, 2023, 9: 356. doi:10.1038/s41420-023-01661-1 |
| [16] | Winkler J, Tan WL, Diadhiou CMM, et al. Single-cell analysis of breast cancer metastasis reveals epithelial-mesenchymal plasticity signatures associated with poor outcomes[J]. J Clin Investig, 2024, 134(17): e164227. doi:10.1172/jci164227 |
| [17] | Zheng SS, Liu LX, Xue TC, et al. Comprehensive analysis of the prognosis and correlations with immune infiltration of S100 protein family members in hepatocellular carcinoma[J]. Front Genet, 2021, 12: 648156. doi:10.3389/fgene.2021.648156 |
| [18] | Zhang C, Yao RC, Chen J, et al. S100 family members: potential therapeutic target in patients with hepatocellular carcinoma: a STROBE study[J]. Medicine, 2021, 100(3): e24135. doi:10.1097/md.0000000000024135 |
| [19] | Faubert B, Solmonson A, DeBerardinis RJ. Metabolic repro-gramming and cancer progression[J]. Science, 2020, 368(6487): eaaw5473. doi:10.1126/science.aaw5473 |
| [20] | Zhang D, Tang ZY, Huang H, et al. Metabolic regulation of gene expression by histone lactylation[J]. Nature, 2019, 574(7779): 575-80. doi:10.1038/s41586-019-1678-1 |
| [21] | Yoshioka M, Sawada Y, Saito-Sasaki N, et al. High S100A2 expression in keratinocytes in patients with drug eruption[J]. Sci Rep, 2021, 11: 5493. doi:10.1038/s41598-021-85009-8 |
| [22] | Poachanukoon O, Roytrakul S, et al. A shotgun proteomic approach reveals novel potential salivary protein biomarkers for asthma[J]. J Asthma, 2022, 59(2): 243-54. doi:10.1080/02770903.2020.1850773 |
| [23] | Gliga AR, Di Bucchianico S, Åkerlund E, et al. Transcriptome profiling and toxicity following long-term, low dose exposure of human lung cells to Ni and NiO nanoparticles: comparison with NiCl2 [J]. Nanomaterials, 2020, 10(4): 649. doi:10.3390/nano10040649 |
| [24] | Yang B, Zhang W, Zhang MM, et al. KRT6A promotes EMT and cancer stem cell transformation in lung adenocarcinoma[J]. Technol Cancer Res Treat, 2020, 19: 1533033820921248. doi:10.1177/1533033820921248 |
| [25] | Chen CJ, Shan HG. Keratin 6A gene silencing suppresses cell invasion and metastasis of nasopharyngeal carcinoma via the β-catenin cascade[J]. Mol Med Report, 2019,19(5): 3477-84. |
| [26] | Chen HJ, Hsu LS, Shia YT, et al. The β-catenin/TCF complex as a novel target of resveratrol in the Wnt/β-catenin signaling pathway[J]. Biochem Pharmacol, 2012, 84(9): 1143-53. doi:10.1016/j.bcp.2012.08.011 |
| [27] | Thrasivoulou C, Millar M, Ahmed A. Activation of intracellular calcium by multiple Wnt ligands and translocation of β-catenin into the nucleus[J]. J Biol Chem, 2013, 288(50): 35651-9. doi:10.1074/jbc.m112.437913 |
| [28] | Tang Q, Chen JH, Di ZY, et al. TM4SF1 promotes EMT and cancer stemness via the Wnt/β-catenin/SOX2 pathway in colorectal cancer[J]. J Exp Clin Cancer Res, 2020, 39(1): 232. doi:10.1186/s13046-020-01690-z |
| [29] | Monga SP. β-catenin signaling and roles in liver homeostasis, injury, and tumorigenesis[J]. Gastroenterology, 2015, 148(7): 1294-310. doi:10.1053/j.gastro.2015.02.056 |
| [30] | 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 |
| [31] | Tsai JH, Yang J. Epithelial-mesenchymal plasticity in carcinoma metastasis[J]. Genes Dev, 2013, 27(20): 2192-206. doi:10.1101/gad.225334.113 |
| [32] | Huang JQ, Wei FK, Xu XL, et al. SOX9 drives the epithelial-mesenchymal transition in non-small-cell lung cancer through the Wnt/β-catenin pathway[J]. J Transl Med, 2019, 17(1): 143. doi:10.1186/s12967-019-1895-2 |
| [33] | Yu P, Xu TT, Ma WM, et al. PRMT6-mediated transcriptional activation of ythdf2 promotes glioblastoma migration, invasion, and emt via the wnt-β-catenin pathway[J]. J Exp Clin Cancer Res, 2024, 43(1): 116. doi:10.1186/s13046-024-03038-3 |
| [34] | Li Y, Liu CY, Zhang X, et al. CCT5 induces epithelial-mesenchymal transition to promote gastric cancer lymph node metastasis by activating the Wnt/β‑catenin signalling pathway[J]. Br J Cancer, 2022, 126(12): 1684-94. doi:10.1038/s41416-022-01747-0 |
| [1] | 徐展发, 陈贞月, 谢丽萍, 李馨怡, 秦耿耿, 郜洁. 减味寿胎丸通过抑制Exo-miR-410-3p摄取促进滋养细胞上皮间质转化、迁移及侵袭减少胚胎流产[J]. 南方医科大学学报, 2026, 46(9): 2006-2022. |
| [2] | 钟瀚翔, 赵渊宇, 傅宏, 董家勇, 丁国善, 陈瑶, 郭闻渊. 东亚人群口腔微生物群与肝细胞癌的因果关系:一项孟德尔随机化研究[J]. 南方医科大学学报, 2026, 46(7): 1467-1473. |
| [3] | 范东伟, 李煊赫, 姚廷敬, 金从稳, 王兴亮, 黄诚. 毛兰素通过阻断Wnt/β-catenin信号抑制乳腺癌细胞增殖和迁移[J]. 南方医科大学学报, 2026, 46(4): 838-847. |
| [4] | 梁芷晴, 潘富珍, 邓利强, 麦哲芬, 马云, 施传坚, 付卫明. 生脉散通过调控乳酸/Wnt/β-catenin/LDHA通路改善非小细胞肺癌奥希替尼耐药的作用机制[J]. 南方医科大学学报, 2026, 46(3): 523-531. |
| [5] | 余晖豪, 邵玉, 程倩倩, 周新瑞, 耿海萍, 杨燕. 肝细胞癌中MPP6高表达预测患者不良预后并促进肿瘤恶性生物学行为[J]. 南方医科大学学报, 2026, 46(2): 394-402. |
| [6] | 李超, 殷国志, 程萧, 姜业臻. 血管相关迁移细胞蛋白在肝细胞癌中高表达并促进肝癌细胞侵袭转移[J]. 南方医科大学学报, 2025, 45(12): 2628-2638. |
| [7] | 周仁杰, 杨晶晶, 宋博文, 陈孝华, 王炼, 王月月, 左芦根, 朱冰. 高表达PSMD11促进胃癌细胞上皮-间质转化进程并影响患者预后[J]. 南方医科大学学报, 2025, 45(12): 2747-2755. |
| [8] | 姜雪凝, 黄晴晴, 徐盈, 王舜印, 张小凤, 王炼, 王月月, 左芦根. 高表达YEATS2通过激活Wnt/β-catenin通路促进胃癌细胞上皮-间质转化进程[J]. 南方医科大学学报, 2025, 45(11): 2416-2426. |
| [9] | 缪祥卓, 朱鹏宇, 区活辉, 朱庆, 于林源, 郭柏棠, 廖渭, 黄毓, 相乐阳, 杨定华. 高表达甲状旁腺激素样激素促进肝细胞癌的进展并与患者预后不良相关[J]. 南方医科大学学报, 2025, 45(10): 2135-2145. |
| [10] | 陈芊伊, 尚书涵, 鲁欢, 李思思, 孙志勉, 范喜瑞, 戚之琳. 金盏花苷E通过自噬途径下调GPX4和SLC7A11抑制肝癌细胞的增殖和迁移[J]. 南方医科大学学报, 2024, 44(7): 1327-1335. |
| [11] | 何欣容, 熊斯丽, 朱真如, 孙景苑, 曹传辉, 王惠. UBE2T通过调节性T细胞诱导肝细胞癌的放疗抵抗[J]. 南方医科大学学报, 2024, 44(6): 1149-1158. |
| [12] | 刘鹏程, 娄丽娟, 刘霞, 王建, 姜颖. M2巨噬细胞特征基因风险评分能准确预测HBV相关肝细胞癌患者的预后[J]. 南方医科大学学报, 2024, 44(5): 827-840. |
| [13] | 张文静, 张 诺, 杨 子, 张小凤, 孙奥飞, 王 炼, 宋 雪, 耿志军, 李 静, 胡建国. BZW1 高表达促进胃癌细胞的侵袭和转移:基于调控Wnt//β-catenin通路和促进上皮间质转化[J]. 南方医科大学学报, 2024, 44(2): 354-362. |
| [14] | 钟伟雄, 梁芳蓉, 杨蕊梦, 甄 鑫. 基于多期动态增强CT影像组学特征和多分类器分层融合模型预测肝细胞癌的微血管侵犯[J]. 南方医科大学学报, 2024, 44(2): 260-269. |
| [15] | 胡嘉伟, 杜芳, 丁璐, 王路翔, 赵巍峰. 合并高血压病的乙型肝炎肝硬化患者发生肝细胞癌的风险评估:一项基于倾向性匹配评分的回顾性队列研究[J]. 南方医科大学学报, 2024, 44(11): 2243-2249. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||