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Urine DNA biomarkers for hepatocellular carcinoma screening

Abstract

Background

Hepatocellular carcinoma (HCC) occurs in a well-defined high-risk patient population, but better screening tests are needed to improve sensitivity and efficacy. Therefore, we investigated the use of urine circulating tumour DNA (ctDNA) as a screening test.

Methods

Candidate markers in urine were selected from HCC and controls. We then enrolled 609 patients from five medical centres to test the selected urine panel. A two-stage model was developed to combine AFP and urine panel as a screening test.

Results

Mutated TP53, and methylated RASSF1a, and GSTP1 were selected as the urine panel markers. Serum AFP outperformed the urine panel among all cases of HCC, but the urine panel identified 49% of HCC cases with low AFP < 20 ng/ml. Using the two-stage model, the combined AFP and urine panel identified 148 of the 186 HCC cases (79.6% sensitivity at 90% specificity), which was 30% more than the cases detected with serum AFP alone. It also increased early-stage HCC detection from 62% to 92% (BCLC stage 0), and 40% to 77% (BCLC stage A).

Conclusion

Urine ctDNA has promising diagnostic utility in patients in HCC, especially in those with low AFP and can be used as a potential non-invasive HCC screening test.

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Fig. 1
Fig. 2: Detection of HCC-associated DNA markers in urine from patients with HCC and controls (hepatitis and cirrhosis).
Fig. 3: Performance of urine ctDNA markers for distinguishing HCC from non-HCC.
Fig. 4: Sensitivities of AFP ≥ 20 ng/ml, urine ctDNA and the two-stage model in different HCC stages per BCLC criteria.

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Data availability

The data generated and analysed during the study are available from the corresponding author on reasonable request.

References

  1. Davila JA, Morgan RO, Richardson PA, Du XL, McGlynn KA, El-Serag HB. Use of surveillance for hepatocellular carcinoma among patients with cirrhosis in the United States. Hepatology. 2010;52:132–41.

    Article  Google Scholar 

  2. Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67:358–80.

    Article  Google Scholar 

  3. Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Altekruse SF, et al. SEER cancer statistics review, 1975–2013, based on November 2015 SEER data submission, posted to the SEER website. Bethesda, MD, USA: National Cancer Institute; 2016.

  4. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359-86.

    Article  CAS  Google Scholar 

  5. Daniele B, Bencivenga A, Megna AS, Tinessa V. α-fetoprotein and ultrasonography screening for hepatocellular carcinoma. Gastroenterology. 2004;127:S108–S12.

    Article  Google Scholar 

  6. Zhou L, Liu J, Luo F. Serum tumor markers for detection of hepatocellular carcinoma. World J Gastroenterol. 2006;12:1175–81.

    Article  CAS  Google Scholar 

  7. Gupta S, Bent S, Kohlwes J. Test characteristics of α-fetoprotein for detecting hepatocellular carcinoma in patients with hepatitis C: a systematic review and critical analysis. Ann Intern Med. 2003;139:46–50.

    Article  CAS  Google Scholar 

  8. Yang JD, Dai J, Singal AG, Gopal P, Addissie BD, Nguyen MH, et al. Improved performance of serum alpha-fetoprotein for hepatocellular carcinoma diagnosis in HCV cirrhosis with normal alanine transaminase. Cancer Epidemiol Prevention Biomark. 2017;26:1085–92.

    Article  CAS  Google Scholar 

  9. Pillai A, Ahn J, Kulik L. Integrating genomics into clinical practice in hepatocellular carcinoma: the challenges ahead. Am J Gastroenterol. 2020;115:1960–9.

    Article  Google Scholar 

  10. Husain H, Melnikova VO, Kosco K, Woodward B, More S, Pingle SC, et al. Monitoring daily dynamics of early tumor response to targeted therapy by detecting circulating tumor DNA in urine. Clin Cancer Res. 2017;23:4716–23.

    Article  CAS  Google Scholar 

  11. Su Y-H, Wang M, Aiamkitsumrit B, Brenner DE, Block TM. Detection of K-ras mutation in urine of patients with colorectal cancer. Cancer Biomark. 2005;1:177–82.

    Article  CAS  Google Scholar 

  12. Su Y-H, Song J, Wang Z, Wang X, Wang M, Brenner DE, et al. Removal of high molecular weight DNA by carboxylated magnetic beads enhances the detection of mutated K-ras DNA in urine. Ann N Y Acad Sci. 2008;1137:82–91.

    Article  CAS  Google Scholar 

  13. Jain S, Xie L, Boldbaatar B, Lin SY, Hamilton JP, Meltzer SJ, et al. Differential methylation of the promoter and first exon of the RASSF1A gene in hepatocarcinogenesis. Hepatol Res. 2014;45:1110–23.

    Article  Google Scholar 

  14. Hann H-W, Jain S, Park G, Steffen JD, Song W, Su Y-H. Detection of urine DNA markers for monitoring recurrent hepatocellular carcinoma. Hepatoma Res. 2017;3:105–11.

    Article  CAS  Google Scholar 

  15. Su Y-H, Wang M, Block TM, Landt O, Botezatu I, Serdyuk O, et al. Transrenal DNA as a diagnostic tool: important technical notes. Ann N Y Acad Sci. 2004;1022:81–9.

    Article  CAS  Google Scholar 

  16. Su Y-H, Wang M, Brenner DE, Ng A, Melkonyan H, Umansky S, et al. Human urine contains small, 150 to 250 nucleotide-sized, soluble DNA derived from the circulation and may be useful in the detection of colorectal cancer. J Mol Diagnostics. 2004;6:101–7.

    Article  CAS  Google Scholar 

  17. Su Y-H, Wang M, Brenner DE, Norton PA, Block TM. Detection of mutated K-ras DNA in urine, plasma, and serum of patients with colorectal carcinoma or adenomatous polyps. Ann N Y Acad Sci. 2008;1137:197–206.

    Article  CAS  Google Scholar 

  18. Song BP, Jain S, Lin SY, Chen Q, Block TM, Song W, et al. Detection of hypermethylated vimentin in urine of patients with colorectal cancer. J Mol Diagnostics. 2012;14:112–9.

    Article  CAS  Google Scholar 

  19. Chen S, Zhao J, Cui L, Liu Y. Urinary circulating DNA detection for dynamic tracking of EGFR mutations for NSCLC patients treated with EGFR-TKIs. Clin Transl Oncol. 2017;19:332–40.

    Article  CAS  Google Scholar 

  20. Nault J-C, Zucman-Rossi J. Genetics of hepatocellular carcinoma: the next generation. J Hepatol. 2014;60:224–6.

    Article  CAS  Google Scholar 

  21. Fujimoto A, Totoki Y, Abe T, Boroevich KA, Hosoda F, Nguyen HH, Aoki M, et al. Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators. Nat Genet. 2012;44:760–4.

    Article  CAS  Google Scholar 

  22. Su Y-H, Kim AK, Jain S. Liquid biopsies for hepatocellular carcinoma. Transl Res. 2018;201:84–97.

    Article  Google Scholar 

  23. Chen D, Jain S, Su Y-H, Song W. Building classification models with combined biomarker tests: application to early detection of liver cancer. J Stat Sci Appl. 2017;5:91–103.

    PubMed  PubMed Central  Google Scholar 

  24. Omata M, Cheng A-L, Kokudo N, Kudo M, Lee JM, Jia J, et al. Asia–Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int. 2017;11:317–70.

    Article  Google Scholar 

  25. Kanwal F, Singal AG. Surveillance for hepatocellular carcinoma: current best practice and future direction. Gastroenterology. 2019;157:54–64.

    Article  Google Scholar 

  26. Su Y-H, Lin SY, Song W, Jain S. DNA markers in molecular diagnostics for hepatocellular carcinoma. Expert Rev Mol Diagnostics. 2014;14:803–17.

    Article  CAS  Google Scholar 

  27. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36.

    Article  CAS  Google Scholar 

  28. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.

    Article  CAS  Google Scholar 

  29. Liver EAFTSOT. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol. 2018;69:182–236.

    Article  Google Scholar 

  30. Lok AS, Sterling RK, Everhart JE, Wright EC, Hoefs JC, Di Bisceglie AM, et al. Des-γ-carboxy prothrombin and α-fetoprotein as biomarkers for the early detection of hepatocellular carcinoma. Gastroenterology. 2010;138:493–502.

    Article  CAS  Google Scholar 

  31. Kim AK, Singal AG. Health disparities in diagnosis and treatment of hepatocellular carcinoma. Clin liver Dis. 2014;4:143.

    Article  Google Scholar 

  32. Dong X, Hou Q, Chen Y, Wang X. Diagnostic value of the methylation of multiple gene promoters in serum in hepatitis B virus-related hepatocellular carcinoma. Dis Markers. 2017;2017:1–6.

    Google Scholar 

  33. Mohamed NA, Swify EM, Amin NF, Soliman MM, Tag-Eldin LM, Elsherbiny NM. Is serum level of methylated RASSF1A valuable in diagnosing hepatocellular carcinoma in patients with chronic viral hepatitis C? Arab J Gastroenterol. 2012;13:111–5.

    Article  CAS  Google Scholar 

  34. Chen VL, Xu D, Wicha MS, Lok AS, Parikh ND. Utility of liquid biopsy analysis in detection of hepatocellular carcinoma, determination of prognosis, and disease monitoring: a systematic review. Clin Gastroenterol Hepatol. 2020;18:2879–902.

    Article  CAS  Google Scholar 

  35. Xu R-H, Wei W, Krawczyk M, Wang W, Luo H, Flagg K, et al. Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma. Nat Mater. 2017;16:1155–61.

    Article  CAS  Google Scholar 

  36. Howell J, Atkinson SR, Pinato DJ, Knapp S, Ward C, Minisini R, et al. Identification of mutations in circulating cell-free tumour DNA as a biomarker in hepatocellular carcinoma. Eur J Cancer. 2019;116:56–66.

    Article  CAS  Google Scholar 

  37. Cohen JD, Li L, Wang Y, Thoburn C, Afsari B, Danilova L, et al. Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science 2018;359:926–30.

    Article  CAS  Google Scholar 

  38. Chalasani NP, Ramasubramanian T, Bhattacharya A, Olson MC, Roberts LR, Kisiel JB, et al. A novel blood-based panel of methylated DNA and protein markers for detection of early-stage hepatocellular carcinoma. Clin Gastroenterol Hepatol. 2020;3565:31224–6.

    Google Scholar 

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Acknowledgements

We thank Dmitry Goryunov for the support in proofreading and editing of this manuscript.

Funding

This work is supported by R43CA165312, R44CA165312, R01CA202769 and K08CA237624.

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Authors and Affiliations

Authors

Contributions

AKK and JPH contributed equally to this study. AKK contributed to formal analysis, original draft, patient recruitment and sample collection. JPH contributed to manuscript revision and editing, patient recruitment and sample collection. SYL contributed to conceptualisation, formal analysis, original draft and manuscript revision and editing. T-TC, H-WH, C-TH, Y-JL and TG contributed to patient recruitment and sample selection. YL contributed to formal analysis. GP and HL contributed to patient recruitment and sample selection and project administration. T-JL contributed to data curation. JW and DC contributed to data curation, formal analysis, and software support. MGG contributed to manuscript revision and editing. SJ contributed to conceptualisation, data curation, formal analysis and manuscript revision and editing. WS contributed to funding acquisition and project supervision. YHS contributed to lead conceptualisation, funding acquisition, original draft and manuscript revision and editing.

Corresponding author

Correspondence to Ying-Hsiu Su.

Ethics declarations

Competing interests

AK is a consultant to AstraZeneca, WS, SJ and SL are shareholders of JBS Science Inc. YHS has received funding from JBS Science, Inc. The remaining authors declare no competing interests.

Ethics approval and consent to participate

The study received ethics approval from Heartland institutional review board (171201-173).

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Kim, A.K., Hamilton, J.P., Lin, S.Y. et al. Urine DNA biomarkers for hepatocellular carcinoma screening. Br J Cancer 126, 1432–1438 (2022). https://doi.org/10.1038/s41416-022-01706-9

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