J Liver Cancer.  2025 Mar;25(1):123-133. 10.17998/jlc.2025.03.08.

Identification of new biomarkers of hepatic cancer stem cells through proteomic profiling

Affiliations
  • 1Institute of Health & Environment, Seoul National University, Seoul, Korea
  • 2KoBioLabs Inc., Seoul, Korea
  • 3Digital Omics Research Center, Ochang Institute of Biological and Environmental Science, Korea Basic Science Institute, Cheongju, Korea
  • 4Department of Environmental Health Sciences, Seoul National University Graduate School of Public Health, Seoul, Korea
  • 5Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
  • 6Yonsei Liver Cancer Center, Yonsei Cancer Hospital, Seoul, Korea

Abstract

Backgrounds/Aims
In hepatocellular carcinoma (HCC), which exhibits high mortality and recurrence rates globally, the traits of cancer stem cells (CSCs) that significantly influence recurrence and metastasis are not well understood. CSCs are self-renewing cell types identified in most liquid and solid cancers, contributing to tumor initiation, growth, resistance, recurrence, and metastasis following chemo-radiotherapy or trans-arterial chemoembolization therapy.
Methods
CSCs are classified based on the expression of cell surface markers such as CD133, which varies depending on the tumor type. Proteomic analysis of liver cancer cell lines with cancer stem cell potential and HCC cancer cell lines lacking stem cell propensity was conducted to compare and analyze specific expression patterns.
Results
Proteomic profiling and enrichment analysis revealed higher expression of the calcium-binding protein S100 family in CD133+ Huh7 cells than in CD133- or wild-type cells. Furthermore, elevated expression of S100 family members was confirmed in an actual CD133+ liver cancer cell line via protein-protein network analysis and quantitative polymerase chain reaction (qPCR).
Conclusion
The S100 family members are not only new markers of cancer stem cells but will also assist in identifying new treatment strategies for CSC metastasis and tumor advancement.

Keyword

Carcinoma, hepatocellular; Neoplastic stem cells; Proteomic analysis; CD133-PROM1; S100 proteins

Figure

  • Figure 1. Identification of CD133+ and CD133- Huh7 cell lines. The CD133+ cell line was isolated from the HCC cell line Huh7, and a CD133- cell line lacking cancer stem cell propensity was also isolated. To confirm whether the isolated CD133+ Huh7 cell line had cancer stem cell line propensity, the expression of representative cancer stem cell markers CD44, CD24, EpCAM, and CD90 was assessed. WT, wild type; EpCAM, epithelial cell adhesion molecule.

  • Figure 2. Proteomic profiling of CD133+ and CD133- Huh7 cell lines. The proteomic profiling analysis of CD133+ Huh7 was compared with wild-type and CD133- type. (A) CD133+ HCC cell lines showed distinct expression patterns compared to wild-type or CD133- type, while wild-type and CD133- cells showed similar expression patterns. (B) Proteomic profiling revealed various genetic changes, identifying four types of expression changes. The most significant expression difference was observed in biological regulation (approximately 61%). (C) Among the three categories (biological response, metabolic process, and cellular components) with major expression changes, we identified significant changes in biological regulation (approximately 64%), amine metabolic processes (approximately 40%), and structural development (approximately 58%). This profiling was conducted in duplicate analyses with high statistical significance. HCC, hepatocellular carcinoma.

  • Figure 3. Enrichment network of CD133+ Huh7 and CD133- Huh7. (A) Labelling-free quantification (LFQ) of proteins compared mass spectral peak intensities between CD133+ and CD133- and confirmed that CD133- and wild-type had similar intensities, while CD133+ type had higher peak intensities that were different from that of CD133- and wild-type. (B) Analysis of the CD133+-specific protein network confirmed the network composition of various biological regulation-related proteins such as S100P.

  • Figure 4. Comparison of the S100 family of CD133+ Huh7 over CD133- Huh7. Based on the protein network results with a high correlation to CD133+, we compared the actual expression levels and found that the S100 family members were more highly expressed in CD133+ cells than in the wild-type cells, whereas their expression was lower in CD133- cells than in wild-type cells. Conversely, ANXA1 was barely expressed in CD133+, while its expression increased in CD133- cells, compared to wild-type, although not significantly. WT, wild type.


Reference

References

1. Wang N, Wang S, Li MY, Hu BG, Liu LP, Yang SL, et al. Cancer stem cells in hepatocellular carcinoma: an overview and promising therapeutic strategies. Ther Adv Med Oncol. 2018; 10:1758835918816287.
Article
2. Choi SH, Lee SW, Ok M, Kim KS, Kim S, Ahn SH. Gene expression profiling of hepatocellular carcinoma derived cancer stem like cell under hypoxia. Yonsei Med J. 2017; 58:925–933.
Article
3. Liu YC, Yeh CT, Lin KH. Cancer stem cell functions in hepatocellular carcinoma and comprehensive therapeutic strategies. Cells. 2020; 9:1331.
Article
4. Ma S. Biology and clinical implications of CD133(+) liver cancer stem cells. Exp Cell Res. 2013; 319:126–132.
Article
5. Collins CA, Olsen I, Zammit PS, Heslop L, Petrie A, Partridge TA, et al. Stem cell function, self-renewal, and behavioral heterogeneity of cells from the adult muscle satellite cell niche. Cell. 2005; 122:289–301.
Article
6. Carnero A, Garcia-Mayea Y, Mir C, Lorente J, Rubio IT, LLeonart ME. The cancer stem-cell signaling network and resistance to therapy. Cancer Treat Rev. 2016; 49:25–36.
Article
7. Huang T, Song X, Xu D, Tiek D, Goenka A, Wu B, et al. Stem cell programs in cancer initiation, progression, and therapy resistance. Theranostics. 2020; 10:8721–8743.
Article
8. Lord CJ, Ashworth A. The DNA damage response and cancer therapy. Nature. 2012; 481:287–294.
Article
9. Yin W, Wang J, Jiang L, Kang YJ. Cancer and stem cells. Exp Biol Med (Maywood). 2021; 246:1791–1801.
Article
10. Dzobo K, Senthebane DA, Ganz C, Thomford NE, Wonkam A, Dandara C. Advances in therapeutic targeting of cancer stem cells within the tumor microenvironment: an updated review. Cells. 2020; 9:1896.
Article
11. Lee TK, Guan XY, Ma S. Cancer stem cells in hepatocellular carcinoma - from origin to clinical implications. Nat Rev Gastroenterol Hepatol. 2022; 19:26–44.
Article
12. Nio K, Yamashita T, Kaneko S. The evolving concept of liver cancer stem cells. Mol Cancer. 2017; 16:4.
Article
13. Vieira CP, McCarrel TM, Grant MB. Novel methods to mobilize, isolate, and expand mesenchymal stem cells. Int J Mol Sci. 2021; 22:5728.
Article
14. Emberley ED, Murphy LC, Watson PH. S100A7 and the progression of breast cancer. Breast Cancer Res. 2004; 6:153–159.
Article
15. Ishihama Y, Oda Y, Tabata T, Sato T, Nagasu T, Rappsilber J, et al. Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein. Mol Cell Proteomics. 2005; 4:1265–1272.
Article
16. Terrié E, Coronas V, Constantin B. Role of the calcium toolkit in cancer stem cells. Cell Calcium. 2019; 80:141–151.
Article
17. Shashoua VE, Hesse GW, Moore BW. Proteins of the brain extracellular fluid: evidence for release of S-100 protein. J Neurochem. 1984; 42:1536–1541.
Article
18. Isobe T, Okuyama T. The amino-acid sequence of the alpha subunit in bovine brain S-100a protein. Eur J Biochem. 1981; 116:79–86.
19. Baudier J, Gerard D. Ions binding to S100 proteins. II. Conformational studies and calcium-induced conformational changes in S100 alpha alpha protein: the effect of acidic pH and calcium incubation on subunit exchange in S100a (alpha beta) protein. J Biol Chem. 1986; 261:8204–8212.
Article
20. Watanabe T, Okumura T, Hirano K, Yamaguchi T, Sekine S, Nagata T, et al. Circulating tumor cells expressing cancer stem cell marker CD44 as a diagnostic biomarker in patients with gastric cancer. Oncol Lett. 2017; 13:281–288.
Article
21. Zhang C, Yao R, Chen J, Zou Q, Zeng L. S100 family members: potential therapeutic target in patients with hepatocellular carcinoma: a STROBE study. Medicine (Baltimore). 2021; 100:e24135.
22. Markowitz J, Carson WE 3rd. Review of S100A9 biology and its role in cancer. Biochim Biophys Acta. 2013; 1835:100–109.
Article
23. Granata M, Skarmoutsou E, Mazzarino MC, D'Amico F. S100A7 in psoriasis: immunodetection and activation by CRISPR technology. Methods Mol Biol. 2019; 1929:729–738.
Article
24. Tian T, Li X, Hua Z, Ma J, Wu X, Liu Z, et al. S100A7 promotes the migration, invasion and metastasis of human cervical cancer cells through epithelial-mesenchymal transition. Oncotarget. 2017; 8:24964–24977.
Article
25. Wei R, Zhu WW, Yu GY, Wang X, Gao C, Zhou X, et al. S100 calcium-binding protein A9 from tumor-associated macrophage enhances cancer stem cell-like properties of hepatocellular carcinoma. Int J Cancer. 2021; 148:1233–1244.
Article
26. Duan L, Wu R, Ye L, Wang H, Yang X, Zhang Y, et al. S100A8 and S100A9 are associated with colorectal carcinoma progression and contribute to colorectal carcinoma cell survival and migration via Wnt/β-catenin pathway. PLoS One. 2013; 8:e62092.
Article
27. Zhang L, Zhu T, Miao H, Liang B. The calcium binding protein S100A11 and its roles in diseases. Front Cell Dev Biol. 2021; 9:693262.
Article
28. Cui Y, Li L, Li Z, Yin J, Lane J, Ji J, et al. Dual effects of targeting S100A11 on suppressing cellular metastatic properties and sensitizing drug response in gastric cancer. Cancer Cell Int. 2021; 21:243.
Article
29. Tu Y, Xie P, Du X, Fan L, Bao Z, Sun G, et al. S100A11 functions as novel oncogene in glioblastoma via S100A11/ANXA2/NF-κB positive feedback loop. J Cell Mol Med. 2019; 23:6907–6918.
Article
30. Zhang MX, Gan W, Jing CY, Zheng SS, Yi Y, Zhang J, et al. S100A11 promotes cell proliferation via P38/MAPK signaling pathway in intrahepatic cholangiocarcinoma. Mol Carcinog. 2019; 58:19–30.
Article
31. Wu F, Dong XJ, Li YY, Zhao Y, Xu QL, Su L. Identification of phosphorylated MYL12B as a potential plasma biomarker for septic acute kidney injury using a quantitative proteomic approach. Int J Clin Exp Pathol. 2015; 8:14409–14416.
32. Chen X, Pavlish K, Benoit JN. Myosin phosphorylation triggers actin polymerization in vascular smooth muscle. Am J Physiol Heart Circ Physiol. 2008; 295:H2172–H2177.
Article
33. Morimoto Y, Tokumitsu A, Sone T, Hirota Y, Tamura R, Sakamoto A, et al. TPT1 supports proliferation of neural stem/progenitor cells and brain tumor initiating cells regulated by macrophage migration inhibitory factor (MIF). Neurochem Res. 2022; 47:2741–2756.
Article
34. Bae SY, Byun S, Bae SH, Min DS, Woo HA, Lee K. TPT1 (tumor protein, translationally-controlled 1) negatively regulates autophagy through the BECN1 interactome and an MTORC1-mediated pathway. Autophagy. 2017; 13:820–833.
Article
35. Neuhäuser K, Küper L, Christiansen H, Bogdanova N. Assessment of the role of translationally controlled tumor protein 1 (TPT1/TCTP) in breast cancer susceptibility and ATM signaling. Clin Transl Radiat Oncol. 2019; 15:99–107.
Article
36. Chen W, Wang H, Tao S, Zheng Y, Wu W, Lian F, et al. Tumor protein translationally controlled 1 is a p53 target gene that promotes cell survival. Cell Cycle. 2013; 12:2321–2328.
Article
37. Okano M, Oshi M, Butash AL, Katsuta E, Tachibana K, Saito K, et al. Triple-negative breast cancer with high levels of annexin A1 expression is associated with mast cell infiltration, inflammation, and angiogenesis. Int J Mol Sci. 2019; 20:4197.
Article
38. Johnstone CN, Tu Y, Langenbach S, Baloyan D, Pattison AD, Lock P, et al. Annexin A1 Is required for efficient tumor initiation and cancer stem cell maintenance in a model of human breast cancer. Cancers (Basel). 2021; 13:1154.
Article
39. Al-Ali HN, Crichton SJ, Fabian C, Pepper C, Butcher DR, Dempsey FC, et al. A therapeutic antibody targeting annexin-A1 inhibits cancer cell growth in vitro and in vivo. Oncogene. 2024; 43:608–614.
Article
40. Li L, Wang B, Zhao S, Xiong Q, Cheng A. The role of ANXA1 in the tumor microenvironment. Int Immunopharmacol. 2024; 131:111854.
Article
Full Text Links
  • JLC
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr