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ORIGINAL RESEARCH

Detection of sFas, sCD137, and IL-27 Cytokines as Potential Biomarkers for Hepatocellular Carcinoma Diagnosis

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Pages 783-793 | Received 22 Feb 2023, Accepted 14 May 2023, Published online: 26 May 2023

References

  • Rumgay H, Arnold M, Ferlay J, et al. Global burden of primary liver cancer in 2020 and predictions to 2040. J Hepatol. 2022;77(6):1598–1606. doi:10.1016/j.jhep.2022.08.021
  • Llovet J, Kelley R, Villanueva A, et al. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021;7:6. doi:10.1038/s41572-020-00240-3
  • Wang W, Wei C. Advances in the early diagnosis of hepatocellular carcinoma. Genes Dis. 2020;7(3):308–319. doi:10.1016/j.gendis.2020.01.014
  • Sarveazad A, Agah S, Babahajian A, Amini N, Bahardoust M. Predictors of 5 year survival rate in hepatocellular carcinoma patients. J Res Med Sci. 2019;24:86. doi:10.4103/jrms.JRMS_1017_18
  • Tsuchiya N, Sawada Y, Endo I, Saito K, Uemura Y, Nakatsura T. Biomarkers for the early diagnosis of hepatocellular carcinoma. World J Gastroenterol. 2015;21(37):10573–10583. doi:10.3748/wjg.v21.i37.10573
  • Adeniji N, Dhanasekaran R. Current and Emerging Tools for Hepatocellular Carcinoma Surveillance. Hepatol Commun. 2021;5(12):1972–1986. doi:10.1002/hep4.1823
  • Kim SY, An J, Lim Y-S, et al. MRI with liver-specific contrast for surveillance of patients with cirrhosis at high risk of hepatocellular carcinoma. JAMA Oncol. 2017;3(4):456–463. doi:10.1001/jamaoncol.2016.3147
  • Liang Y, Xu F, Guo Y, et al. Diagnostic performance of LI-RADS for MRI and CT detection of HCC: a systematic review and diagnostic meta-analysis. Eur J Radiol. 2021;134:109404. doi:10.1016/j.ejrad.2020.109404
  • Best J, Bilgi H, Heider D, et al. The GALAD scoring algorithm based on AFP, AFP-L3, and DCP significantly improves detection of BCLC early stage hepatocellular carcinoma. Z Gastroenterol. 2016;54(12):1296–1305. doi:10.1055/s-0042-119529
  • Yang JD, Addissie BD, Mara KC, et al. GALAD score for hepatocellular carcinoma detection in comparison with liver ultrasound and proposal of GALADUS score. Cancer Epidemiol Biomarkers Prev. 2019;28(3):531–538. doi:10.1158/1055-9965.EPI-18-0281
  • Pan Y, Chen H, Yu J. Biomarkers in hepatocellular carcinoma: current status and future perspectives. Biomedicines. 2020;8(12):576. doi:10.3390/biomedicines8120576
  • Cesati M, Scatozza F, D’arcangelo D, et al. Investigating serum and tissue expression identified a cytokine/chemokine signature as a highly effective melanoma marker. Cancers. 2020;12(12):3680. doi:10.3390/cancers12123680
  • Kartikasari AER, Huertas CS, Mitchell A, Plebanski M. Tumor-induced inflammatory cytokines and the emerging diagnostic devices for cancer detection and prognosis. Front Oncol. 2021;11:692142. doi:10.3389/fonc.2021.692142
  • Esquivel-Velazquez M, Ostoa-Saloma P, Palacios-Arreola MI, Nava-Castro KE, Castro JI, Morales-Montor J. The role of cytokines in breast cancer development and progression. J Interferon Cytokine Res. 2015;35(1):1–16. doi:10.1089/jir.2014.0026
  • Yuan J-M, Wang Y, Wang R, et al. Serum IL27 in relation to risk of hepatocellular carcinoma in two nested case–control studiesIL27 and HCC. Cancer Epidemiol Biomarkers Prev. 2021;30(2):388–395. doi:10.1158/1055-9965.EPI-20-1081
  • Li H, Wang Y, Zhang M, Hu J, Li Z, Han BJ. The high expression of TNF-α and NF-κB in tumor microenvironment predicts good prognosis of patients with BCLC-0-B hepatocellular carcinoma. Transl Cancer Res. 2019;8(2):532. doi:10.21037/tcr.2019.03.09
  • Adachi Y, Nojima M, Mori M, et al. Serum soluble fas levels and incidence of liver cancer in nested case–control study. Cancer Epidemiol Biomarkers Prev. 2023:OF1–OF6. doi:10.1158/1055-9965.EPI-22-0902
  • Sadeghi M, Lahdou I, Oweira H, et al. Serum levels of chemokines CCL4 and CCL5 in cirrhotic patients indicate the presence of hepatocellular carcinoma. Br J Cancer. 2015;113(5):756–762. doi:10.1038/bjc.2015.227
  • Weigand K, Peschel G, Grimm J, et al. Soluble CD137 is a novel serum marker of liver cirrhosis in patients with hepatitis C and alcohol‐associated disease etiology. Eur J Immunol. 2022;52(4):633–645. doi:10.1002/eji.202149488
  • Rousalova I, Krepela E. Granzyme B-induced apoptosis in cancer cells and its regulation (review). Int J Oncol. 2010;37(6):1361–1378. doi:10.3892/ijo_00000788
  • Akoglu H. User’s guide to sample size estimation in diagnostic accuracy studies. Turk J Emerg Med. 2022;22(4):177–185. doi:10.4103/2452-2473.357348
  • Le VQ, Nguyen VH, Nguyen VH, et al. Epidemiological characteristics of advanced hepatocellular carcinoma in the northern region of Vietnam. Cancer Control. 2019;26(1):1073274819862793. doi:10.1177/1073274819862793
  • Hardy-Werbin M, Rocha P, Arpi O, et al. Serum cytokine levels as predictive biomarkers of benefit from ipilimumab in small cell lung cancer. Oncoimmunology. 2019;8(6):e1593810. doi:10.1080/2162402X.2019.1593810
  • Verbakel JY, Steyerberg EW, Uno H, et al. ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models. Comp Stud. 2020;126:207–216. doi:10.1016/j.jclinepi.2020.01.028
  • Fernandez-Felix B, García-Esquinas E, Muriel A, Royuela A, Zamora JJ. Bootstrap internal validation command for predictive logistic regression models. Stata J. 2021;21(2):498–509. doi:10.1177/1536867X211025836
  • Tomas I, Arias-Bujanda N, Alonso-Sampedro M, et al. Cytokine-based predictive models to estimate the probability of chronic periodontitis: development of diagnostic nomograms. Sci Rep. 2017;7(1):11580. doi:10.1038/s41598-017-06674-2
  • Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26(8):1364–1370. doi:10.1200/JCO.2007.12.9791
  • Lien MY, Tsai HC, Chang AC, et al. Chemokine CCL4 induces vascular endothelial growth factor C expression and lymphangiogenesis by miR-195-3p in oral squamous cell carcinoma. Front Immunol. 2018;9:412. doi:10.3389/fimmu.2018.00412
  • Ueno T, Toi M, Tominaga T. Circulating soluble Fas concentration in breast cancer patients. Clin Cancer Res. 1999;5(11):3529–3533.
  • Vysotskii MM, Digaeva MA, Kushlinskii NE, et al. Serum sFas, leptin, and VEGF in patients with ovarian cancer and benign tumors. Bull Exp Biol Med. 2009;148(5):810–814. doi:10.1007/s10517-010-0823-5
  • Sheen-Chen SM, Chen HS, Eng HL, Chen WJ. Circulating soluble Fas in patients with breast cancer. World J Surg. 2003;27(1):10–13. doi:10.1007/s00268-002-6378-5
  • Bartkowiak T, Jaiswal AR, Ager CR, et al. Activation of 4-1BB on liver myeloid cells triggers hepatitis via an interleukin-27–dependent pathway. Clin Cancer Res. 2018;24(5):1138–1151. doi:10.1158/1078-0432.CCR-17-1847
  • Glez-Vaz J, Azpilikueta A, Olivera I, et al. Soluble CD137 as a dynamic biomarker to monitor agonist CD137 immunotherapies. J Immunother Cancer. 2022;82(12_Supplement):628. doi:10.1136/jitc-2021-003532
  • Labiano S, Palazón A, Bolanos E, et al. Hypoxia-induced soluble CD137 in malignant cells blocks CD137L-costimulation as an immune escape mechanism. Oncoimmunology. 2016;5(1):e1062967. doi:10.1080/2162402X.2015.1062967
  • Fabbi M, Carbotti G, Ferrini S. Dual Roles of IL-27 in Cancer Biology and Immunotherapy. Mediators Inflamm. 2017;2017:3958069. doi:10.1155/2017/3958069
  • Song Q, Zhu X, Jin L, Chen M, Zhang W, Su J. SMGR: a joint statistical method for integrative analysis of single-cell multi-omics data. NAR Genom Bioinform. 2022;4(3):lqac056. doi:10.1093/nargab/lqac056
  • Zhu J, Tang B, Gao Y, et al. Predictive models for HCC prognosis, recurrence risk, and immune infiltration based on two exosomal genes: MYL6B and THOC2. J Inflamm Res. 2021;14:4089–4109. doi:10.2147/JIR.S315957
  • Liu R, Wang G, Zhang C, Bai D. A prognostic model for hepatocellular carcinoma based on apoptosis-related genes. World J Surg Oncol. 2021;19(1):70. doi:10.1186/s12957-021-02175-9
  • Sato M, Morimoto K, Kajihara S, et al. Machine-learning approach for the development of a novel predictive model for the diagnosis of hepatocellular carcinoma. Sci Rep. 2019;9(1):7704. doi:10.1038/s41598-019-44022-8