Liquid Biopsy and its Potential for Management of Hepatocellular Carcinoma (original) (raw)

References

  1. Kruglyak KM, Lin E, Ong FS. Next-generation sequencing in precision oncology: challenges and opportunities. Expert Rev Mol Diagn. 2014;14(6):635–7.
    Article CAS PubMed Google Scholar
  2. Crowley E, Di Nicolantonio F, Loupakis F, Bardelli A. Liquid biopsy: monitoring cancer-genetics in the blood. Nat Rev Clin Oncol. 2013;10(8):472–84.
    Article CAS PubMed Google Scholar
  3. Gerlinger M, Rowan AJ, Horswell S, Larkin J, Endesfelder D, Gronroos E, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med. 2012;366(10):883–92.
    Article CAS PubMed Google Scholar
  4. Gerlinger M, Horswell S, Larkin J, Rowan AJ, Salm MP, Varela I, et al. Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing. Nat Genet. 2014;46(3):225–33.
    Article CAS PubMed PubMed Central Google Scholar
  5. Shah SP, Roth A, Goya R, Oloumi A, Ha G, Zhao Y, et al. The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature. 2012;486(7403):395–9.
    CAS PubMed Google Scholar
  6. de Bruin EC, McGranahan N, Mitter R, Salm M, Wedge DC, Yates L, et al. Spatial and temporal diversity in genomic instability processes defines lung cancer evolution. Science (New York, NY). 2014;346(6206):251–6.
    Article CAS Google Scholar
  7. Zhang J, Fujimoto J, Zhang J, Wedge DC, Song X, Zhang J, et al. Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing. Science (New York, NY). 2014;346(6206):256–9.
    Article CAS Google Scholar
  8. Suzuki H, Aoki K, Chiba K, Sato Y, Shiozawa Y, Shiraishi Y, et al. Mutational landscape and clonal architecture in grade II and III gliomas. Nat Genet. 2015;47(5):458–68.
    Article CAS PubMed Google Scholar
  9. Schwarz RF, Ng CK, Cooke SL, Newman S, Temple J, Piskorz AM, et al. Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. PLoS Med. 2015;12(2):e1001789.
    Article PubMed PubMed Central Google Scholar
  10. Friemel J, Rechsteiner M, Frick L, Bohm F, Struckmann K, Egger M, et al. Intratumor heterogeneity in hepatocellular carcinoma. Clin Cancer Res: Off J Am Assoc Cancer Res. 2015;21(8):1951–61.
    Article CAS Google Scholar
  11. Gawad C, Koh W, Quake SR. Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics. Proc Natl Acad Sci U S A. 2014;111(50):17947–52.
    Article CAS PubMed PubMed Central Google Scholar
  12. Landau DA, Clement K, Ziller MJ, Boyle P, Fan J, Gu H, et al. Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia. Cancer Cell. 2014;26(6):813–25.
    Article CAS PubMed PubMed Central Google Scholar
  13. Oakes CC, Claus R, Gu L, Assenov Y, Hullein J, Zucknick M, et al. Evolution of DNA methylation is linked to genetic aberrations in chronic lymphocytic leukemia. Cancer Discov. 2014;4(3):348–61.
    Article CAS PubMed PubMed Central Google Scholar
  14. Jamal-Hanjani M, Quezada SA, Larkin J, Swanton C. Translational implications of tumor heterogeneity. Clin Cancer Res: Off J Am Assoc Cancer Res. 2015;21(6):1258–66.
    Article CAS Google Scholar
  15. McGranahan N, Swanton C. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. Cancer Cell. 2015;27(1):15–26.
    Article CAS PubMed Google Scholar
  16. McCreery MQ, Halliwill KD, Chin D, Delrosario R, Hirst G, Vuong P, et al. Evolution of metastasis revealed by mutational landscapes of chemically induced skin cancers. Nature Med. 2015;21(12):1514–20.
  17. Alix-Panabieres C, Pantel K. Real-time liquid biopsy: circulating tumor cells versus circulating tumor DNA. Ann Transl Med. 2013;1(2):18.
    PubMed PubMed Central Google Scholar
  18. Lebofsky R, Decraene C, Bernard V, Kamal M, Blin A, Leroy Q, et al. Circulating tumor DNA as a non-invasive substitute to metastasis biopsy for tumor genotyping and personalized medicine in a prospective trial across all tumor types. Mol Oncol. 2015;9(4):783–90.
    Article CAS PubMed Google Scholar
  19. Lianos GD, Mangano A, Kouraklis G, Roukos DH. Dynamic sequencing of circulating tumor DNA: novel noninvasive cancer biomarker. Biomark Med. 2014;8(5):629–32.
    Article CAS PubMed Google Scholar
  20. Rothe F, Laes JF, Lambrechts D, Smeets D, Vincent D, Maetens M, et al. Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer. Ann Oncol: Off J Eur Soc Med Oncol / ESMO. 2014;25(10):1959–65.
    Article CAS Google Scholar
  21. Zhu G, Ye X, Dong Z, Lu Y, Sun Y, Liu Y, et al. Highly sensitive droplet digital PCR method for detection of EGFR activating mutations in plasma cell-free DNA from patients with advanced Non-small cell lung cancer. J Mol Diagn: JMD. 2015;17(3):265–72.
    Article CAS PubMed Google Scholar
  22. Pantel K, Speicher MR. The biology of circulating tumor cells. Oncogene. 2015. doi:10.1038/onc.2015.192.
  23. Yap TA, Lorente D, Omlin A, Olmos D, de Bono JS. Circulating tumor cells: a multifunctional biomarker. Clin Cancer Res: Off J Am Assoc Cancer Res. 2014;20(10):2553–68.
    Article CAS Google Scholar
  24. Caceres G, Puskas JA, Magliocco AM. Circulating tumor cells: a window into tumor development and therapeutic effectiveness. Cancer Control: J Moffitt Cancer Cent. 2015;22(2):167–76.
    Google Scholar
  25. Schneck H, Blassl C, Meier-Stiegen F, Neves RP, Janni W, Fehm T, et al. Analysing the mutational status of PIK3CA in circulating tumor cells from metastatic breast cancer patients. Mol Oncol. 2013;7(5):976–86.
    Article CAS PubMed Google Scholar
  26. Polzer B, Medoro G, Pasch S, Fontana F, Zorzino L, Pestka A, et al. Molecular profiling of single circulating tumor cells with diagnostic intention. EMBO Mol Med. 2014;6(11):1371–86.
    Article CAS PubMed PubMed Central Google Scholar
  27. Hao TB, Shi W, Shen XJ, Qi J, Wu XH, Wu Y, et al. Circulating cell-free DNA in serum as a biomarker for diagnosis and prognostic prediction of colorectal cancer. Br J Cancer. 2014;111(8):1482–9.
    Article CAS PubMed PubMed Central Google Scholar
  28. Shin VY, Siu JM, Cheuk I, Ng EK, Kwong A. Circulating cell-free miRNAs as biomarker for triple-negative breast cancer. Br J Cancer. 2015;112(11):1751–9.
    Article CAS PubMed Google Scholar
  29. Singh N, Gupta S, Pandey RM, Chauhan SS, Saraya A. High levels of cell-free circulating nucleic acids in pancreatic cancer are associated with vascular encasement, metastasis and poor survival. Cancer Investig. 2015;33(3):78–85.
    Article CAS Google Scholar
  30. Zonta E, Nizard P, Taly V. Assessment of DNA integrity, applications for cancer research. Adv Clin Chem. 2015;70:197–246.
    Article PubMed Google Scholar
  31. Sausen M, Parpart S, Diaz Jr LA. Circulating tumor DNA moves further into the spotlight. Genome Med. 2014;6(5):35.
    Article PubMed PubMed Central CAS Google Scholar
  32. Bidard FC, Weigelt B, Reis-Filho JS. Going with the flow: from circulating tumor cells to DNA. Sci Transl Med. 2013;5(207):207ps14.
    Article PubMed CAS Google Scholar
  33. Heitzer E, Ulz P, Geigl JB. Circulating tumor DNA as a liquid biopsy for cancer. Clin Chem. 2015;61(1):112–23.
    Article CAS PubMed Google Scholar
  34. Matamala N, Vargas MT, Gonzalez-Campora R, Minambres R, Arias JI, Menendez P, et al. Tumor microRNA expression profiling identifies circulating microRNAs for early breast cancer detection. Clin Chem. 2015;61(8):1098–106.
    Article CAS PubMed Google Scholar
  35. Hu Z, Chen X, Zhao Y, Tian T, Jin G, Shu Y, et al. Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. J Clin Oncol: Off J Am Soc Clin Oncol. 2010;28(10):1721–6.
    Article Google Scholar
  36. Verma AM, Patel M, Aslam MI, Jameson J, Pringle JH, Wurm P, et al. Circulating plasma microRNAs as a screening method for detection of colorectal adenomas. Lancet. 2015;385 Suppl 1:S100.
    Article PubMed Google Scholar
  37. Hu J, Wang Z, Liao BY, Yu L, Gao X, Lu S, et al. Human miR-1228 as a stable endogenous control for the quantification of circulating microRNAs in cancer patients. Int J Cancer. 2014;135(5):1187–94.
    Article CAS PubMed Google Scholar
  38. Aushev VN, Zborovskaya IB, Laktionov KK, Girard N, Cros MP, Herceg Z, et al. Comparisons of microRNA patterns in plasma before and after tumor removal reveal new biomarkers of lung squamous cell carcinoma. PLoS One. 2013;8(10):e78649.
    Article CAS PubMed PubMed Central Google Scholar
  39. Nair VS, Maeda LS, Ioannidis JP. Clinical outcome prediction by microRNAs in human cancer: a systematic review. J Natl Cancer Inst. 2012;104(7):528–40.
    Article CAS PubMed PubMed Central Google Scholar
  40. Thery C. Cancer: diagnosis by extracellular vesicles. Nature. 2015;523(7559):161–2.
    Article CAS PubMed Google Scholar
  41. Rabinowits G, Gercel-Taylor C, Day JM, Taylor DD, Kloecker GH. Exosomal microRNA: a diagnostic marker for lung cancer. Clin Lung Cancer. 2009;10(1):42–6.
    Article CAS PubMed Google Scholar
  42. Hornick NI, Huan J, Doron B, Goloviznina NA, Lapidus J, Chang BH, et al. Serum exosome microRNA as a minimally-invasive early biomarker of AML. Sci Rep. 2015;5:11295.
    Article CAS PubMed PubMed Central Google Scholar
  43. Matsumura T, Sugimachi K, Iinuma H, Takahashi Y, Kurashige J, Sawada G, et al. Exosomal microRNA in serum is a novel biomarker of recurrence in human colorectal cancer. Br J Cancer. 2015;113(2):275–81.
    Article CAS PubMed Google Scholar
  44. Shi R, Wang PY, Li XY, Chen JX, Li Y, Zhang XZ, et al. Exosomal levels of miRNA-21 from cerebrospinal fluids associated with poor prognosis and tumor recurrence of glioma patients. Oncotarget. 2015;6(29):26971–81.
    Article PubMed PubMed Central Google Scholar
  45. Lee JC, Zhao JT, Gundara J, Serpell J, Bach LA, Sidhu S. Papillary thyroid cancer-derived exosomes contain miRNA-146b and miRNA-222. J Surg Res. 2015;196(1):39–48.
    Article CAS PubMed Google Scholar
  46. Chiam K, Wang T, Watson DI, Mayne GC, Irvine TS, Bright T, et al. Circulating serum exosomal miRNAs as potential biomarkers for esophageal adenocarcinoma. J Gastrointest Surg: Off J Soc Surg Aliment Tract. 2015;19(7):1208–15.
    Article Google Scholar
  47. Melo SA, Luecke LB, Kahlert C, Fernandez AF, Gammon ST, Kaye J, et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. 2015;523(7559):177–82.
    Article CAS PubMed Google Scholar
  48. Overbye A, Skotland T, Koehler CJ, Thiede B, Seierstad T, Berge V, et al. Identification of prostate cancer biomarkers in urinary exosomes. Oncotarget. 2015;6(30):30357–76.
    PubMed PubMed Central Google Scholar
  49. Tokuhisa M, Ichikawa Y, Kosaka N, Ochiya T, Yashiro M, Hirakawa K, et al. Exosomal miRNAs from peritoneum lavage fluid as potential prognostic biomarkers of peritoneal metastasis in gastric cancer. PLoS One. 2015;10(7):e0130472.
    Article PubMed PubMed Central CAS Google Scholar
  50. Allard WJ, Matera J, Miller MC, Repollet M, Connelly MC, Rao C, et al. Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases. Clin Cancer Res: Off J Am Assoc Cancer Res. 2004;10(20):6897–904.
    Article Google Scholar
  51. Coumans F, Terstappen L. Detection and characterization of circulating tumor cells by the CellSearch approach. Methods Mol Biol (Clifton, NJ). 2015;1347:263–78.
    Article Google Scholar
  52. Krebs MG, Metcalf RL, Carter L, Brady G, Blackhall FH, Dive C. Molecular analysis of circulating tumour cells-biology and biomarkers. Nat Rev Clin Oncol. 2014;11(3):129–44.
    Article CAS PubMed Google Scholar
  53. Ozkumur E, Shah AM, Ciciliano JC, Emmink BL, Miyamoto DT, Brachtel E, et al. Inertial focusing for tumor antigen-dependent and -independent sorting of rare circulating tumor cells. Sci Transl Med. 2013;5(179):179ra47.
    Article PubMed PubMed Central CAS Google Scholar
  54. Nagrath S, Sequist LV, Maheswaran S, Bell DW, Irimia D, Ulkus L, et al. Isolation of rare circulating tumour cells in cancer patients by microchip technology. Nature. 2007;450(7173):1235–9.
    Article CAS PubMed PubMed Central Google Scholar
  55. Hou HW, Warkiani ME, Khoo BL, Li ZR, Soo RA, Tan DS, et al. Isolation and retrieval of circulating tumor cells using centrifugal forces. Sci Rep. 2013;3:1259.
    PubMed PubMed Central Google Scholar
  56. He W, Wang H, Hartmann LC, Cheng JX, Low PS. In vivo quantitation of rare circulating tumor cells by multiphoton intravital flow cytometry. Proc Natl Acad Sci U S A. 2007;104(28):11760–5.
    Article CAS PubMed PubMed Central Google Scholar
  57. Somlo G, Lau SK, Frankel P, Hsieh HB, Liu X, Yang L, et al. Multiple biomarker expression on circulating tumor cells in comparison to tumor tissues from primary and metastatic sites in patients with locally advanced/inflammatory, and stage IV breast cancer, using a novel detection technology. Breast Cancer Res Treat. 2011;128(1):155–63.
    Article CAS PubMed PubMed Central Google Scholar
  58. Sarioglu AF, Aceto N, Kojic N, Donaldson MC, Zeinali M, Hamza B, et al. A microfluidic device for label-free, physical capture of circulating tumor cell clusters. Nat Methods. 2015;12(7):685–91.
    Article CAS PubMed PubMed Central Google Scholar
  59. Fabbri F, Carloni S, Zoli W, Ulivi P, Gallerani G, Fici P, et al. Detection and recovery of circulating colon cancer cells using a dielectrophoresis-based device: KRAS mutation status in pure CTCs. Cancer Lett. 2013;335(1):225–31.
    Article CAS PubMed Google Scholar
  60. He Y, Lin J, Kong D, Huang M, Xu C, Kim TK, et al. Current state of circulating microRNAs as cancer biomarkers. Clin Chem. 2015;61(9):1138–55.
    Article CAS PubMed Google Scholar
  61. McDonald JS, Milosevic D, Reddi HV, Grebe SK, Algeciras-Schimnich A. Analysis of circulating microRNA: preanalytical and analytical challenges. Clin Chem. 2011;57(6):833–40.
    Article CAS PubMed Google Scholar
  62. El Messaoudi S, Rolet F, Mouliere F, Thierry AR. Circulating cell free DNA: preanalytical considerations. Clin Chim Acta; Int J Clin Chem. 2013;424:222–30.
    Article CAS Google Scholar
  63. Martinez P, McGranahan N, Birkbak NJ, Gerlinger M, Swanton C. Computational optimisation of targeted DNA sequencing for cancer detection. Sci Rep. 2013;3:3309.
    Article PubMed Google Scholar
  64. Leary RJ, Kinde I, Diehl F, Schmidt K, Clouser C, Duncan C, et al. Development of personalized tumor biomarkers using massively parallel sequencing. Sci Transl Med. 2010;2(20):20ra14.
    Article PubMed PubMed Central CAS Google Scholar
  65. Mohamed Suhaimi NA, Foong YM, Lee DY, Phyo WM, Cima I, Lee EX, et al. Non-invasive sensitive detection of KRAS and BRAF mutation in circulating tumor cells of colorectal cancer patients. Mol Oncol. 2015;9(4):850–60.
    Article CAS PubMed Google Scholar
  66. Marchetti A, Del Grammastro M, Felicioni L, Malatesta S, Filice G, Centi I, et al. Assessment of EGFR mutations in circulating tumor cell preparations from NSCLC patients by next generation sequencing: toward a real-time liquid biopsy for treatment. PLoS One. 2014;9(8):e103883.
    Article PubMed PubMed Central CAS Google Scholar
  67. Pestrin M, Salvianti F, Galardi F, De Luca F, Turner N, Malorni L, et al. Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients. Mol Oncol. 2015;9(4):749–57.
    Article CAS PubMed Google Scholar
  68. Sykes PJ, Neoh SH, Brisco MJ, Hughes E, Condon J, Morley AA. Quantitation of targets for PCR by use of limiting dilution. Biotechniques. 1992;13(3):444–9.
    CAS PubMed Google Scholar
  69. Hudecova I. Digital PCR, analysis of circulating nucleic acids. Clin Biochem. 2015;48(15):948–56.
    Article CAS PubMed Google Scholar
  70. Zhang BO, Xu CW, Shao Y, Wang HT, Wu YF, Song YY, et al. Comparison of droplet digital PCR and conventional quantitative PCR for measuring gene mutation. Exp Ther Med. 2015;9(4):1383–8.
    CAS PubMed PubMed Central Google Scholar
  71. Huggett JF, Cowen S, Foy CA. Considerations for digital PCR as an accurate molecular diagnostic tool. Clin Chem. 2015;61(1):79–88.
    Article CAS PubMed Google Scholar
  72. Stewart GD, O’Mahony F, Laird A, Eory L, Lubbock A, Mackay A, et al. Sunitinib treatment exacerbates intratumoral heterogeneity in metastatic renal cancer. Clin Cancer Res: Off J Am Assoc Cancer Res. 2015;21(18):4212–23.
    Article CAS Google Scholar
  73. Tsao SC, Weiss J, Hudson C, Christophi C, Cebon J, Behren A, et al. Monitoring response to therapy in melanoma by quantifying circulating tumour DNA with droplet digital PCR for BRAF and NRAS mutations. Sci Rep. 2015;5:11198.
    Article PubMed CAS Google Scholar
  74. Zill OA, Greene C, Sebisanovic D, Siew L, Leng J, Vu M, et al. Cell-free DNA next-generation sequencing in pancreatobiliary carcinomas. Cancer Discov. 2015;5(10):1040–8.
    Article CAS PubMed PubMed Central Google Scholar
  75. Siravegna G, Mussolin B, Buscarino M, Corti G, Cassingena A, Crisafulli G, et al. Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients. Nat Med. 2015;21(7):795–801.
    Article CAS PubMed Google Scholar
  76. Watanabe M, Kawaguchi T, Isa SI, Ando M, Tamiya A, Kubo A, et al. Ultra-sensitive detection of the pretreatment EGFR T790M mutation in non-small-cell lung cancer patients with an EGFR-activating mutation using droplet digital PCR. Clin Cancer Res: Off J Am Assoc Cancer Res. 2015;21(15):3552–60.
    Article CAS Google Scholar
  77. Mishra PJ. MicroRNAs as promising biomarkers in cancer diagnostics. Biomarker Res. 2014;2:19.
    Article Google Scholar
  78. Patel M, Verma A, Aslam I, Pringle H, Singh B. Novel plasma microRNA biomarkers for the identification of colitis-associated carcinoma. Lancet. 2015;385 Suppl 1:S78.
    Article PubMed Google Scholar
  79. Fang Z, Tang J, Bai Y, Lin H, You H, Jin H, et al. Plasma levels of microRNA-24, microRNA-320a, and microRNA-423-5p are potential biomarkers for colorectal carcinoma. J Exp Clin Cancer Res: CR. 2015;34(1):86.
    Article PubMed PubMed Central CAS Google Scholar
  80. Zhou X, Zhu W, Li H, Wen W, Cheng W, Wang F, et al. Diagnostic value of a plasma microRNA signature in gastric cancer: a microRNA expression analysis. Sci Rep. 2015;5:11251.
    Article CAS PubMed PubMed Central Google Scholar
  81. Schultz NA, Dehlendorff C, Jensen BV, Bjerregaard JK, Nielsen KR, Bojesen SE, et al. MicroRNA biomarkers in whole blood for detection of pancreatic cancer. JAMA. 2014;311(4):392–404.
    Article CAS PubMed Google Scholar
  82. Li N, Ma J, Guarnera MA, Fang H, Cai L, Jiang F. Digital PCR quantification of miRNAs in sputum for diagnosis of lung cancer. J Cancer Res Clin Oncol. 2014;140(1):145–50.
    Article CAS PubMed PubMed Central Google Scholar
  83. Zhou J, Yu L, Gao X, Hu J, Wang J, Dai Z, et al. Plasma microRNA panel to diagnose hepatitis B virus-related hepatocellular carcinoma. J Clin Oncol: Off J Am Soc Clin Oncol. 2011;29(36):4781–8.
    Article CAS Google Scholar
  84. Hamakawa T, Kukita Y, Kurokawa Y, Miyazaki Y, Takahashi T, Yamasaki M, et al. Monitoring gastric cancer progression with circulating tumour DNA. Br J Cancer. 2015;112(2):352–6.
    Article CAS PubMed PubMed Central Google Scholar
  85. Roschewski M, Dunleavy K, Pittaluga S, Moorhead M, Pepin F, Kong K, et al. Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: a correlative biomarker study. Lancet Oncol. 2015;16(5):541–9.
    Article PubMed Google Scholar
  86. Sausen M, Phallen J, Adleff V, Jones S, Leary RJ, Barrett MT, et al. Clinical implications of genomic alterations in the tumour and circulation of pancreatic cancer patients. Nat Commun. 2015;6:7686.
    Article PubMed PubMed Central Google Scholar
  87. Tie J, Kinde I, Wang Y, Wong HL, Roebert J, Christie M, et al. Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer. Ann Oncol: Off J Eur Soc Med Oncol / ESMO. 2015;26(8):1715–22.
    Article CAS Google Scholar
  88. Rosell R, Moran T, Queralt C, Porta R, Cardenal F, Camps C, et al. Screening for epidermal growth factor receptor mutations in lung cancer. N Engl J Med. 2009;361(10):958–67.
    Article CAS PubMed Google Scholar
  89. Rosell R, Carcereny E, Gervais R, Vergnenegre A, Massuti B, Felip E, et al. Erlotinib versus standard chemotherapy as first-line treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised phase 3 trial. Lancet Oncol. 2012;13(3):239–46.
    Article CAS PubMed Google Scholar
  90. Bai H, Mao L, Wang HS, Zhao J, Yang L, An TT, et al. Epidermal growth factor receptor mutations in plasma DNA samples predict tumor response in Chinese patients with stages IIIB to IV non-small-cell lung cancer. J Clin Oncol: Off J Am Soc Clin Oncol. 2009;27(16):2653–9.
    Article CAS Google Scholar
  91. Thress KS, Paweletz CP, Felip E, Cho BC, Stetson D, Dougherty B, et al. Acquired EGFR C797S mutation mediates resistance to AZD9291 in non-small cell lung cancer harboring EGFR T790M. Nat Med. 2015;21(6):560–2.
    Article CAS PubMed PubMed Central Google Scholar
  92. Maheswaran S, Sequist LV, Nagrath S, Ulkus L, Brannigan B, Collura CV, et al. Detection of mutations in EGFR in circulating lung-cancer cells. N Engl J Med. 2008;359(4):366–77.
    Article CAS PubMed PubMed Central Google Scholar
  93. Morelli MP, Overman MJ, Dasari A, Kazmi SM, Mazard T, Vilar E, et al. Characterizing the patterns of clonal selection in circulating tumor DNA from patients with colorectal cancer refractory to anti-EGFR treatment. Ann Oncol: Off J Eur Soc Med Oncol / ESMO. 2015;26(4):731–6.
    Article CAS Google Scholar
  94. Diaz Jr LA, Williams RT, Wu J, Kinde I, Hecht JR, Berlin J, et al. The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers. Nature. 2012;486(7404):537–40.
    CAS PubMed PubMed Central Google Scholar
  95. Mohan S, Heitzer E, Ulz P, Lafer I, Lax S, Auer M, et al. Changes in colorectal carcinoma genomes under anti-EGFR therapy identified by whole-genome plasma DNA sequencing. PLoS Genet. 2014;10(3):e1004271.
    Article PubMed PubMed Central CAS Google Scholar
  96. Hiltermann TJ, Pore MM, van den Berg A, Timens W, Boezen HM, Liesker JJ, et al. Circulating tumor cells in small-cell lung cancer: a predictive and prognostic factor. Ann Oncol: Off J Eur Soc Med Oncol / ESMO. 2012;23(11):2937–42.
    Article CAS Google Scholar
  97. Hayes DF, Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Miller MC, et al. Circulating tumor cells at each follow-up time point during therapy of metastatic breast cancer patients predict progression-free and overall survival. Clin Cancer Res: Off J Am Assoc Cancer Res. 2006;12(14 Pt 1):4218–24.
    Article CAS Google Scholar
  98. Cohen SJ, Punt CJ, Iannotti N, Saidman BH, Sabbath KD, Gabrail NY, et al. Relationship of circulating tumor cells to tumor response, progression-free survival, and overall survival in patients with metastatic colorectal cancer. J Clin Oncol: Off J Am Soc Clin Oncol. 2008;26(19):3213–21.
    Article Google Scholar
  99. Liu Y, Liu Q, Wang T, Bian L, Zhang S, Hu H, et al. Circulating tumor cells in HER2-positive metastatic breast cancer patients: a valuable prognostic and predictive biomarker. BMC Cancer. 2013;13:202.
    Article CAS PubMed PubMed Central Google Scholar
  100. Smerage JB, Barlow WE, Hortobagyi GN, Winer EP, Leyland-Jones B, Srkalovic G, et al. Circulating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500. J Clin Oncol: Off J Am Soc Clin Oncol. 2014;32(31):3483–9.
    Article CAS Google Scholar
  101. Zhang Y, Li J, Cao L, Xu W, Yin Z. Circulating tumor cells in hepatocellular carcinoma: detection techniques, clinical implications, and future perspectives. Semin Oncol. 2012;39(4):449–60.
    Article CAS PubMed Google Scholar
  102. Sun YF, Xu Y, Yang XR, Guo W, Zhang X, Qiu SJ, et al. Circulating stem cell-like epithelial cell adhesion molecule-positive tumor cells indicate poor prognosis of hepatocellular carcinoma after curative resection. Hepatology (Baltimore, Md). 2013;57(4):1458–68.
    Article CAS Google Scholar
  103. Liu S, Li N, Yu X, Xiao X, Cheng K, Hu J, et al. Expression of intercellular adhesion molecule 1 by hepatocellular carcinoma stem cells and circulating tumor cells. Gastroenterology. 2013;144(5):1031–41.e10.
    Article PubMed CAS Google Scholar
  104. Yan J, Fan Z, Wu X, Xu M, Jiang J, Tan C, et al. Circulating tumor cells are correlated with disease progression and treatment response in an orthotopic hepatocellular carcinoma model. Cytometry A: J Int Soc Anal Cytol. 2015;87(11):1020–8.
    Article CAS Google Scholar
  105. Guo W, Yang XR, Sun YF, Shen MN, Ma XL, Wu J, et al. Clinical significance of EpCAM mRNA-positive circulating tumor cells in hepatocellular carcinoma by an optimized negative enrichment and qRT-PCR-based platform. Clin Cancer Res: Off J Am Assoc Cancer Res. 2014;20(18):4794–805.
    Article CAS Google Scholar
  106. Kelley RK, Magbanua MJ, Butler TM, Collisson EA, Hwang J, Sidiropoulos N, et al. Circulating tumor cells in hepatocellular carcinoma: a pilot study of detection, enumeration, and next-generation sequencing in cases and controls. BMC Cancer. 2015;15:206.
    Article PubMed PubMed Central Google Scholar
  107. Azvolinsky A. Beyond counting: new way to use circulating tumor cells. J Natl Cancer Inst. 2014;106(10):dju343.
  108. Zhou J, Shi YH, Fan J. Circulating cell-free nucleic acids: promising biomarkers of hepatocellular carcinoma. Semin Oncol. 2012;39(4):440–8.
    Article CAS PubMed Google Scholar
  109. Wong IH, Lo YM, Zhang J, Liew CT, Ng MH, Wong N, et al. Detection of aberrant p16 methylation in the plasma and serum of liver cancer patients. Cancer Res. 1999;59(1):71–3.
    CAS PubMed Google Scholar
  110. Wong IH, Lo YM, Yeo W, Lau WY, Johnson PJ. Frequent p15 promoter methylation in tumor and peripheral blood from hepatocellular carcinoma patients. Clin Cancer Res: Off J Am Assoc Cancer Res. 2000;6(9):3516–21.
    CAS Google Scholar
  111. Wong IH, Zhang J, Lai PB, Lau WY, Lo YM. Quantitative analysis of tumor-derived methylated p16INK4a sequences in plasma, serum, and blood cells of hepatocellular carcinoma patients. Clin Cancer Res: Off J Am Assoc Cancer Res. 2003;9(3):1047–52.
    CAS Google Scholar
  112. Chan KC, Lai PB, Mok TS, Chan HL, Ding C, Yeung SW, et al. Quantitative analysis of circulating methylated DNA as a biomarker for hepatocellular carcinoma. Clin Chem. 2008;54(9):1528–36.
    Article CAS PubMed Google Scholar
  113. Huang G, Krocker JD, Kirk JL, Merwat SN, Ju H, Soloway RD, et al. Evaluation of INK4A promoter methylation using pyrosequencing and circulating cell-free DNA from patients with hepatocellular carcinoma. Clin Chem Lab Med: CCLM / FESCC. 2014;52(6):899–909.
    Article CAS Google Scholar
  114. Xu H, Zhu X, Xu Z, Hu Y, Bo S, Xing T, et al. Non-invasive analysis of genomic copy number variation in patients with hepatocellular carcinoma by next generation DNA sequencing. J Cancer. 2015;6(3):247–53.
    Article PubMed PubMed Central Google Scholar
  115. Huang XH, Sun LH, Lu DD, Sun Y, Ma LJ, Zhang XR, et al. Codon 249 mutation in exon 7 of p53 gene in plasma DNA: maybe a new early diagnostic marker of hepatocellular carcinoma in Qidong risk area, China. World J Gastroenterol: WJG. 2003;9(4):692–5.
    Article CAS PubMed PubMed Central Google Scholar
  116. Szymanska K, Lesi OA, Kirk GD, Sam O, Taniere P, Scoazec JY, et al. Ser-249TP53 mutation in tumour and plasma DNA of hepatocellular carcinoma patients from a high incidence area in the Gambia, West Africa. Int J Cancer J Int Cancer. 2004;110(3):374–9.
    Article CAS Google Scholar
  117. Kirk GD, Lesi OA, Mendy M, Szymanska K, Whittle H, Goedert JJ, et al. 249(ser) TP53 mutation in plasma DNA, hepatitis B viral infection, and risk of hepatocellular carcinoma. Oncogene. 2005;24(38):5858–67.
    Article CAS PubMed Google Scholar
  118. Hu J, Wang Z, Fan J, Dai Z, He YF, Qiu SJ, et al. Genetic variations in plasma circulating DNA of HBV-related hepatocellular carcinoma patients predict recurrence after liver transplantation. PLoS One. 2011;6(10):e26003.
    Article CAS PubMed PubMed Central Google Scholar
  119. Ren N, Qin LX, Tu H, Liu YK, Zhang BH, Tang ZY. The prognostic value of circulating plasma DNA level and its allelic imbalance on chromosome 8p in patients with hepatocellular carcinoma. J Cancer Res Clin Oncol. 2006;132(6):399–407.
    Article CAS PubMed Google Scholar
  120. Ren N, Ye QH, Qin LX, Zhang BH, Liu YK, Tang ZY. Circulating DNA level is negatively associated with the long-term survival of hepatocellular carcinoma patients. World J Gastroenterol: WJG. 2006;12(24):3911–4.
    Article CAS PubMed PubMed Central Google Scholar
  121. Iizuka N, Sakaida I, Moribe T, Fujita N, Miura T, Stark M, et al. Elevated levels of circulating cell-free DNA in the blood of patients with hepatitis C virus-associated hepatocellular carcinoma. Anticancer Res. 2006;26(6c):4713–9.
    CAS PubMed Google Scholar
  122. Iida M, Iizuka N, Sakaida I, Moribe T, Fujita N, Miura T, et al. Relation between serum levels of cell-free DNA and inflammation status in hepatitis C virus-related hepatocellular carcinoma. Oncol Rep. 2008;20(4):761–5.
    CAS PubMed Google Scholar
  123. Tokuhisa Y, Iizuka N, Sakaida I, Moribe T, Fujita N, Miura T, et al. Circulating cell-free DNA as a predictive marker for distant metastasis of hepatitis C virus-related hepatocellular carcinoma. Br J Cancer. 2007;97(10):1399–403.
    Article CAS PubMed PubMed Central Google Scholar
  124. Giordano S, Columbano A. MicroRNAs: new tools for diagnosis, prognosis, and therapy in hepatocellular carcinoma? Hepatology (Baltimore, Md). 2013;57(2):840–7.
    Article CAS Google Scholar
  125. Hung CH, Hu TH, Lu SN, Kuo FY, Chen CH, Wang JH, et al. Circulating microRNAs as biomarkers for diagnosis of early hepatocellular carcinoma associated with hepatitis B virus. Int J Cancer J Int Cancer. 2015. doi:10.1002/ijc.29802.
    Google Scholar
  126. Motawi TK, Shaker OG, El-Maraghy SA, Senousy MA. Serum microRNAs as potential biomarkers for early diagnosis of hepatitis C virus-related hepatocellular carcinoma in Egyptian patients. PLoS One. 2015;10(9):e0137706.
    Article PubMed PubMed Central CAS Google Scholar
  127. Qu KZ, Zhang K, Li H, Afdhal NH, Albitar M. Circulating microRNAs as biomarkers for hepatocellular carcinoma. J Clin Gastroenterol. 2011;45(4):355–60.
    Article CAS PubMed Google Scholar
  128. Fu Y, Wei X, Tang C, Li J, Liu R, Shen A, et al. Circulating microRNA-101 as a potential biomarker for hepatitis B virus-related hepatocellular carcinoma. Oncol Lett. 2013;6(6):1811–5.
    CAS PubMed PubMed Central Google Scholar
  129. Wang H, Hou L, Li A, Duan Y, Gao H, Song X. Expression of serum exosomal microRNA-21 in human hepatocellular carcinoma. BioMed Res Int. 2014;2014:864894.
    PubMed PubMed Central Google Scholar
  130. Amr KS, Ezzat WM, Elhosary YA, Hegazy AE, Fahim HH, Kamel RR. The potential role of miRNAs 21 and 199-a in early diagnosis of hepatocellular carcinoma. Gene. 2015;575(1):66–70.
    Article PubMed CAS Google Scholar
  131. Hu J, Wang Z, Tan CJ, Liao BY, Zhang X, Xu M, et al. Plasma microRNA, a potential biomarker for acute rejection after liver transplantation. Transplantation. 2013;95(8):991–9.
    Article CAS PubMed Google Scholar
  132. Sohn W, Kim J, Kang SH, Yang SR, Cho JY, Cho HC, et al. Serum exosomal microRNAs as novel biomarkers for hepatocellular carcinoma. Exp Mol Med. 2015;47:e184.
    Article CAS PubMed PubMed Central Google Scholar
  133. Sugimachi K, Matsumura T, Hirata H, Uchi R, Ueda M, Ueo H, et al. Identification of a bona fide microRNA biomarker in serum exosomes that predicts hepatocellular carcinoma recurrence after liver transplantation. Br J Cancer. 2015;112(3):532–8.
    Article CAS PubMed PubMed Central Google Scholar
  134. Ji J, Shi J, Budhu A, Yu Z, Forgues M, Roessler S, et al. MicroRNA expression, survival, and response to interferon in liver cancer. N Engl J Med. 2009;361(15):1437–47.
    Article CAS PubMed PubMed Central Google Scholar
  135. Wang Y, Liang Z, Gao Y, Zhai D, Rao Q, Shi W, et al. Factors influencing circulating MicroRNA level in the studies of hepatocellular carcinoma biomarker. Neoplasma. 2015;62(5):798–804.
    Article CAS PubMed Google Scholar

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