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Licensed Unlicensed Requires Authentication Published by De Gruyter September 6, 2019

Circulating tumor DNA and their added value in molecular oncology

  • Math P.G. Leers EMAIL logo

Abstract

New methods for molecular diagnosis are now available in oncology thanks to the discovery of circulating tumor DNA molecules in the plasma of cancer patients. By utilizing blood samples, rather than traditional tissue sampling, clinical practice is on the verge of new discoveries from the analysis of cell-free DNA (cfDNA). The method, known as a “liquid biopsy”, consists of analyzing therapeutic targets and drug-resistant conferring gene mutations in circulating tumor cells (CTC) and cell-free circulating tumor DNA (ctDNA). These are subsequently released from primary tumors and metastatic deposits into the peripheral blood. The advantages of the method can be observed in the diagnosis, but also in the choice of treatment for solid tumors (e.g. non-small cell lung carcinomas [NSCLC]). In order to interpret the results, an understanding of the biological characteristics of circulating tumor DNA is required. Currently there is no consensus as to how a liquid biopsy should be conducted. In this review, we will assess the pros of ctDNA as analytes in peripheral blood samples and its impact on clinical applications in solid tumors and hematological malignancies. We will also address practical issues facing clinical implementation, such as pre-analytical factors. Moreover, we will emphasize the open questions that remain when considering the current state of personalized medicine and targeted therapy.


Corresponding author: Math P.G. Leers, PhD, Department of Clinical Chemistry and Hematology, Zuyderland Medical Center Sittard-Geleen, Dr. H. Van der Hoffplein 1, P.O. Box 5500, 6130 MB Sittard, The Netherlands, Phone: +31-88-4597503

Acknowledgments

The author would like to thank Ms. V.G.H. Leers for preparing the figures.

  1. Author contributions: MPGL wrote the manuscript. The author has accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. De Mattos-Arruda L, Mayor R, Ng CK, Weigelt B, Martinez-Ricarte F, Torrejon D, et al. Cerebrospinal fluid-derived circulating tumour DNA better represents the genomic alterations of brain tumours than plasma. Nat Commun 2015;6:8839.10.1038/ncomms9839Search in Google Scholar

2. 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;23:4716–23.10.1158/1078-0432.CCR-17-0454Search in Google Scholar

3. Wang Y, Springer S, Mulvey CL, Silliman N, Schaefer J, Sausen M, et al. Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas. Sci Transl Med 2015;7:293ra104.10.1126/scitranslmed.aaa8507Search in Google Scholar

4. Jahr S, Hentze H, Englisch S, Hardt D, Fackelmayer FO, Hesch RD, et al. DNA fragments in the blood plasma of cancer patients: quantitations and evidence for their origin from apoptotic and necrotic cells. Cancer Res 2001;61:1659–65.Search in Google Scholar

5. Hashad D, Sorour A, Ghazal A, Talaat I. Free circulating tumor DNA as a diagnostic marker for breast cancer. J Clin Lab Anal 2012;26:467–72.10.1002/jcla.21548Search in Google Scholar

6. Schwarzenbach H, Alix-Panabieres C, Muller I, Letang N, Vendrell JP, Rebillard X, et al. Cell-free tumor DNA in blood plasma as a marker for circulating tumor cells in prostate cancer. Clin Cancer Res 2009;15:1032–8.10.1158/1078-0432.CCR-08-1910Search in Google Scholar

7. Schwarzenbach H, Stoehlmacher J, Pantel K, Goekkurt E. Detection and monitoring of cell-free DNA in blood of patients with colorectal cancer. Ann N Y Acad Sci 2008;1137:190–6.10.1196/annals.1448.025Search in Google Scholar

8. Stroun M, Lyautey J, Lederrey C, Olson-Sand A, Anker P. About the possible origin and mechanism of circulating DNA apoptosis and active DNA release. Clin Chim Acta 2001;313:139–42.10.1016/S0009-8981(01)00665-9Search in Google Scholar

9. Sacher AG, Paweletz C, Dahlberg SE, Alden RS, O’Connell A, Feeney N, et al. Prospective validation of rapid plasma genotyping for the detection of EGFR and KRAS mutations in advanced lung cancer. JAMA Oncol 2016;2:1014–22.10.1001/jamaoncol.2016.0173Search in Google Scholar PubMed PubMed Central

10. van der Vaart M, Pretorius PJ. Circulating DNA. Its origin and fluctuation. Ann N Y Acad Sci 2008;1137:18–26.10.1196/annals.1448.022Search in Google Scholar PubMed

11. El Messaoudi S, Rolet F, Mouliere F, Thierry AR. Circulating cell free DNA: preanalytical considerations. Clin Chim Acta 2013;424:222–30.10.1016/j.cca.2013.05.022Search in Google Scholar PubMed

12. Li P, Ning J, Luo X, Du H, Zhang Q, Zhou G, et al. New method to preserve the original proportion and integrity of urinary cell-free DNA. J Clin Lab Anal 2019;33:e22668.10.1002/jcla.22668Search in Google Scholar PubMed PubMed Central

13. Diaz LA Jr, Bardelli A. Liquid biopsies: genotyping circulating tumor DNA. J Clin Oncol 2014;32:579–86.10.1200/JCO.2012.45.2011Search in Google Scholar PubMed PubMed Central

14. Diehl F, Schmidt K, Choti MA, Romans K, Goodman S, Li M, et al. Circulating mutant DNA to assess tumor dynamics. Nat Med 2008;14:985–90.10.1038/nm.1789Search in Google Scholar PubMed PubMed Central

15. Lee TH, Montalvo L, Chrebtow V, Busch MP. Quantitation of genomic DNA in plasma and serum samples: higher concentrations of genomic DNA found in serum than in plasma. Transfusion 2001;41:276–82.10.1046/j.1537-2995.2001.41020276.xSearch in Google Scholar PubMed

16. Norton SE, Lechner JM, Williams T, Fernando MR. A stabilizing reagent prevents cell-free DNA contamination by cellular DNA in plasma during blood sample storage and shipping as determined by digital PCR. Clin Biochem 2013;46:1561–5.10.1016/j.clinbiochem.2013.06.002Search in Google Scholar PubMed

17. Zhao Y, Li Y, Chen P, Li S, Luo J, Xia H. Performance comparison of blood collection tubes as liquid biopsy storage system for minimizing cfDNA contamination from genomic DNA. J Clin Lab Anal 2018:e22670.10.1002/jcla.22670Search in Google Scholar PubMed PubMed Central

18. Kang Q, Henry NL, Paoletti C, Jiang H, Vats P, Chinnaiyan AM, et al. Comparative analysis of circulating tumor DNA stability In K3EDTA, Streck, and CellSave blood collection tubes. Clin Biochem 2016;49:1354–60.10.1016/j.clinbiochem.2016.03.012Search in Google Scholar PubMed

19. Norton SE, Luna KK, Lechner JM, Qin J, Fernando MR. A new blood collection device minimizes cellular DNA release during sample storage and shipping when compared to a standard device. J Clin Lab Anal 2013;27:305–11.10.1002/jcla.21603Search in Google Scholar PubMed PubMed Central

20. Hidestrand M, Stokowski R, Song K, Oliphant A, Deavers J, Goetsch M, et al. Influence of temperature during transportation on cell-free DNA analysis. Fetal Diagn Ther 2012;31:122–8.10.1159/000335020Search in Google Scholar PubMed

21. Fernando MR, Chen K, Norton S, Krzyzanowski G, Bourne D, Hunsley B, et al. A new methodology to preserve the original proportion and integrity of cell-free fetal DNA in maternal plasma during sample processing and storage. Prenat Diagn 2010;30:418–24.10.1002/pd.2484Search in Google Scholar PubMed

22. Chan KC, Yeung SW, Lui WB, Rainer TH, Lo YM. Effects of preanalytical factors on the molecular size of cell-free DNA in blood. Clin Chem 2005;51:781–4.10.1373/clinchem.2004.046219Search in Google Scholar PubMed

23. Page K, Powles T, Slade MJ, DE Bella MT, Walker RA, Coombes RC, et al. The importance of careful blood processing in isolation of cell-free DNA. Ann N Y Acad Sci 2006;1075:313–7.10.1196/annals.1368.042Search in Google Scholar PubMed

24. Merker JD, Oxnard GR, Compton C, Diehn M, Hurley P, Lazar AJ, et al. Circulating tumor DNA analysis in patients with cancer: American Society of Clinical Oncology and College of American Pathologists Joint Review. J Clin Oncol 2018;36:1631–41.10.1200/JCO.2017.76.8671Search in Google Scholar PubMed

25. Vogelstein B, Kinzler KW. Digital PCR. Proc Natl Acad Sci USA 1999;96:9236–41.10.1073/pnas.96.16.9236Search in Google Scholar PubMed PubMed Central

26. Dressman D, Yan H, Traverso G, Kinzler KW, Vogelstein B. Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations. Proc Natl Acad Sci USA 2003;100:8817–22.10.1073/pnas.1133470100Search in Google Scholar PubMed PubMed Central

27. Song N, Zhong X, Li Q. Real-time bidirectional pyrophosphorolysis-activated polymerization for quantitative detection of somatic mutations. PLoS One 2014;9:e96420.10.1371/journal.pone.0096420Search in Google Scholar PubMed PubMed Central

28. Shen SY, Singhania R, Fehringer G, Chakravarthy A, Roehrl MH, Chadwick D, et al. Sensitive tumour detection and classification using plasma cell-free DNA methylomes. Nature 2018;563:579–83.10.1038/s41586-018-0703-0Search in Google Scholar PubMed

29. Postel M, Roosen A, Laurent-Puig P, Taly V, Wang-Renault SF. Droplet-based digital PCR and next generation sequencing for monitoring circulating tumor DNA: a cancer diagnostic perspective. Expert Rev Mol Diagn 2018;18:7–17.10.1080/14737159.2018.1400384Search in Google Scholar PubMed

30. Fitarelli-Kiehl M, Yu F, Ashtaputre R, Leong KW, Ladas I, Supplee J, et al. Denaturation-enhanced droplet digital PCR for liquid biopsies. Clin Chem 2018;64:1762–71.10.1373/clinchem.2018.293845Search in Google Scholar PubMed PubMed Central

31. Whale AS, Cowen S, Foy CA, Huggett JF. Methods for applying accurate digital PCR analysis on low copy DNA samples. PLoS One 2013;8:e58177.10.1371/journal.pone.0058177Search in Google Scholar PubMed PubMed Central

32. Leung F, Kulasingam V, Diamandis EP, Hoon DS, Kinzler K, Pantel K, et al. Circulating tumor DNA as aa cancer biomarker: fact or fiction? Clin Chem 2016;62:1054–60.10.1373/clinchem.2016.260331Search in Google Scholar PubMed PubMed Central

33. Holdhoff M, Schmidt K, Donehower R, Diaz LA Jr. Analysis of circulating tumor DNA to confirm somatic KRAS mutations. J Natl Cancer Inst 2009;101:1284–5.10.1093/jnci/djp240Search in Google Scholar PubMed

34. Overman MJ, Modak J, Kopetz S, Murthy R, Yao JC, Hicks ME, et al. Use of research biopsies in clinical trials: are risks and benefits adequately discussed? J Clin Oncol 2013;31:17–22.10.1200/JCO.2012.43.1718Search in Google Scholar PubMed PubMed Central

35. Lin SY, Linehan JA, Wilson TG, Hoon DS. Emerging utility of urinary cell-free nucleic acid biomarkers for prostate, bladder, and renal cancers. Eur Urol Focus 2017;3:265–72.10.1016/j.euf.2017.03.009Search in Google Scholar PubMed

36. Patel KM, van der Vos KE, Smith CG, Mouliere F, Tsui D, Morris J, et al. Association of plasma and urinary mutant DNA with clinical outcomes in muscle invasive bladder cancer. Sci Rep 2017;7:5554.10.1038/s41598-017-05623-3Search in Google Scholar PubMed PubMed Central

37. Song T, Mao F, Shi L, Xu X, Wu Z, Zhou J, et al. Urinary measurement of circulating tumor DNA for treatment monitoring and prognosis of metastatic colorectal cancer patients. Clin Chem Lab Med 2018;57:268–75.10.1515/cclm-2017-0675Search in Google Scholar PubMed

38. Adalsteinsson VA, Ha G, Freeman SS, Choudhury AD, Stover DG, Parsons HA, et al. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nat Commun 2017;8:1324.10.1038/s41467-017-00965-ySearch in Google Scholar PubMed PubMed Central

39. Lanman RB, Mortimer SA, Zill OA, Sebisanovic D, Lopez R, Blau S, et al. Analytical and clinical validation of a digital sequencing panel for quantitative, highly accurate evaluation of cell-free circulating tumor DNA. PLoS One 2015;10:e0140712.10.1371/journal.pone.0140712Search in Google Scholar PubMed PubMed Central

40. Jones S, Zhang X, Parsons DW, Lin JC, Leary RJ, Angenendt P, et al. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science 2008;321:1801–6.10.1126/science.1164368Search in Google Scholar PubMed PubMed Central

41. Mardis ER, Ding L, Dooling DJ, Larson DE, McLellan MD, Chen K, et al. Recurring mutations found by sequencing an acute myeloid leukemia genome. N Engl J Med 2009;361:1058–66.10.1056/NEJMoa0903840Search in Google Scholar PubMed PubMed Central

42. Varela I, Tarpey P, Raine K, Huang D, Ong CK, Stephens P, et al. Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma. Nature 2011;469:539–42.10.1038/nature09639Search in Google Scholar PubMed PubMed Central

43. Hiley C, de Bruin EC, McGranahan N, Swanton C. Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine. Genome Biol 2014;15:453.10.1186/s13059-014-0453-8Search in Google Scholar PubMed PubMed Central

44. Gerlinger M, Rowan AJ, Horswell S, Math M, Larkin J, Endesfelder D, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 2012;366:883–92.10.1056/NEJMoa1113205Search in Google Scholar PubMed PubMed Central

45. Gerlinger M, Swanton C. How Darwinian models inform therapeutic failure initiated by clonal heterogeneity in cancer medicine. Br J Cancer 2010;103:1139–43.10.1038/sj.bjc.6605912Search in Google Scholar PubMed PubMed Central

46. Navin N, Kendall J, Troge J, Andrews P, Rodgers L, McIndoo J, et al. Tumour evolution inferred by single-cell sequencing. Nature 2011;472:90–4.10.1038/nature09807Search in Google Scholar PubMed PubMed Central

47. Murtaza M, Dawson SJ, Tsui DW, Gale D, Forshew T, Piskorz AM, et al. Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature 2013;497:108–12.10.1038/nature12065Search in Google Scholar PubMed

48. Nakauchi C, Kagara N, Shimazu K, Shimomura A, Naoi Y, Shimoda M, et al. Detection of TP53/PIK3CA mutations in cell-free plasma DNA from metastatic breast cancer patients using next generation sequencing. Clin Breast Cancer 2016;16:418–23.10.1016/j.clbc.2016.05.004Search in Google Scholar PubMed

49. Misale S, Di Nicolantonio F, Sartore-Bianchi A, Siena S, Bardelli A. Resistance to anti-EGFR therapy in colorectal cancer: from heterogeneity to convergent evolution. Cancer Discov 2014;4:1269–80.10.1158/2159-8290.CD-14-0462Search in Google Scholar PubMed

50. Bettegowda C, Sausen M, Leary RJ, Kinde I, Wang Y, Agrawal N, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med 2014;6:224ra24.10.1158/1538-7445.AM2014-5606Search in Google Scholar

51. Thompson JC, Yee SS, Troxel AB, Savitch SL, Fan R, Balli D, et al. Detection of therapeutically targetable driver and resistance mutations in lung cancer patients by next-generation sequencing of cell-free circulating tumor DNA. Clin Cancer Res 2016;22:5772–82.10.1158/1078-0432.CCR-16-1231Search in Google Scholar PubMed PubMed Central

52. Schrock AB, Pavlick D, Klempner SJ, Chung JH, Forcier B, Welsh A, et al. Hybrid capture-based genomic profiling of circulating tumor DNA from patients with advanced cancers of the gastrointestinal tract or anus. Clin Cancer Res 2018;24:1881–90.10.1158/1078-0432.CCR-17-3103Search in Google Scholar PubMed PubMed Central

53. Strickler JH, Loree JM, Ahronian LG, Parikh AR, Niedzwiecki D, Pereira AA, et al. Genomic landscape of cell-free DNA in patients with colorectal cancer. Cancer Discov 2018;8:164–73.10.1158/2159-8290.CD-17-1009Search in Google Scholar PubMed PubMed Central

54. Xia L, Li Z, Zhou B, Tian G, Zeng L, Dai H, et al. Statistical analysis of mutant allele frequency level of circulating cell-free DNA and blood cells in healthy individuals. Sci Rep 2017;7:7526.10.1038/s41598-017-06106-1Search in Google Scholar PubMed PubMed Central

55. Genovese G, Kahler AK, Handsaker RE, Lindberg J, Rose SA, Bakhoum SF, et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med 2014;371:2477–87.10.1056/NEJMoa1409405Search in Google Scholar PubMed PubMed Central

56. Martincorena I, Roshan A, Gerstung M, Ellis P, Van Loo P, McLaren S, et al. Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. Science 2015;348:880–6.10.1126/science.aaa6806Search in Google Scholar PubMed PubMed Central

57. Liu J, Chen X, Wang J, Zhou S, Wang CL, Ye MZ, et al. Biological background of the genomic variations of cf-DNA in healthy individuals. Ann Oncol 2019;30:464–70.10.1093/annonc/mdy513Search in Google Scholar PubMed

58. Dharajiya NG, Grosu DS, Farkas DH, McCullough RM, Almasri E, Sun Y, et al. Incidental detection of maternal neoplasia in noninvasive prenatal testing. Clin Chem 2018;64:329–35.10.1373/clinchem.2017.277517Search in Google Scholar PubMed

59. Krimmel JD, Schmitt MW, Harrell MI, Agnew KJ, Kennedy SR, Emond MJ, et al. Ultra-deep sequencing detects ovarian cancer cells in peritoneal fluid and reveals somatic TP53 mutations in noncancerous tissues. Proc Natl Acad Sci USA 2016;113:6005–10.10.1073/pnas.1601311113Search in Google Scholar PubMed PubMed Central

60. Diehl F, Li M, Dressman D, He Y, Shen D, Szabo S, et al. Detection and quantification of mutations in the plasma of patients with colorectal tumors. Proc Natl Acad Sci USA 2005;102:16368–73.10.1073/pnas.0507904102Search in Google Scholar PubMed PubMed Central

61. Fleischhacker M, Schmidt B. Circulating nucleic acids (CNAs) and cancer – a survey. Biochim Biophys Acta 2007;1775:181–232.10.1016/j.bbcan.2006.10.001Search in Google Scholar PubMed

62. Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature 2017;545:446–51.10.1038/nature22364Search in Google Scholar PubMed PubMed Central

63. Chaudhuri AA, Chabon JJ, Lovejoy AF, Newman AM, Stehr H, Azad TD, et al. Early detection of molecular residual disease in localized lung cancer by circulating tumor DNA profiling. Cancer Discov 2017;7:1394–403.10.1158/2159-8290.CD-17-0716Search in Google Scholar PubMed PubMed Central

64. 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 2015;26:1715–22.10.1093/annonc/mdv177Search in Google Scholar PubMed PubMed Central

65. Garcia-Murillas I, Schiavon G, Weigelt B, Ng C, Hrebien S, Cutts RJ, et al. Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer. Sci Transl Med 2015;7:302ra133.10.1126/scitranslmed.aab0021Search in Google Scholar PubMed

66. Tie J, Wang Y, Tomasetti C, Li L, Springer S, Kinde I, et al. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Sci Transl Med 2016;8:346ra92.10.1126/scitranslmed.aaf6219Search in Google Scholar PubMed PubMed Central

67. Meric-Bernstam F, Mills GB. Overcoming implementation challenges of personalized cancer therapy. Nat Rev Clin Oncol 2012;9:542–8.10.1038/nrclinonc.2012.127Search in Google Scholar PubMed

68. Douillard JY, Oliner KS, Siena S, Tabernero J, Burkes R, Barugel M, et al. Panitumumab-FOLFOX4 treatment and RAS mutations in colorectal cancer. N Engl J Med 2013;369:1023–34.10.1056/NEJMoa1305275Search in Google Scholar PubMed

69. 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;21:795–801.10.1038/nm.3870Search in Google Scholar PubMed PubMed Central

70. Dawson SJ, Rosenfeld N, Caldas C. Circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med 2013;369:93–4.10.1056/NEJMoa1213261Search in Google Scholar PubMed

71. Diaz LA Jr, 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;486:537–40.10.1038/nature11219Search in Google Scholar PubMed PubMed Central

72. Westover D, Zugazagoitia J, Cho BC, Lovly CM, Paz-Ares L. Mechanisms of acquired resistance to first- and second-generation EGFR tyrosine kinase inhibitors. Ann Oncol 2018;29:i10–9.10.1093/annonc/mdx703Search in Google Scholar PubMed PubMed Central

73. Offin M, Rizvi H, Tenet M, Ni A, Sanchez-Vega F, Li BT, et al. Tumor mutation burden and efficacy of EGFR-tyrosine kinase inhibitors in patients with EGFR-mutant lung cancers. Clin Cancer Res 2019;25:1063–9.10.1158/1078-0432.CCR-18-1102Search in Google Scholar PubMed PubMed Central

74. Sequist LV, Waltman BA, Dias-Santagata D, Digumarthy S, Turke AB, Fidias P, et al. Genotypic and histological evolution of lung cancers acquiring resistance to EGFR inhibitors. Sci Transl Med 2011;3:75ra26.10.1126/scitranslmed.3002003Search in Google Scholar PubMed PubMed Central

75. Yu HA, Arcila ME, Rekhtman N, Sima CS, Zakowski MF, Pao W, et al. Analysis of tumor specimens at the time of acquired resistance to EGFR-TKI therapy in 155 patients with EGFR-mutant lung cancers. Clin Cancer Res 2013;19:2240–7.10.1158/1078-0432.CCR-12-2246Search in Google Scholar PubMed PubMed Central

76. Oxnard GR, Thress KS, Alden RS, Lawrance R, Paweletz CP, Cantarini M, et al. Association between plasma genotyping and outcomes of treatment with osimertinib (AZD9291) in advanced non-small-cell lung cancer. J Clin Oncol 2016;34:3375–82.10.1200/JCO.2016.66.7162Search in Google Scholar PubMed PubMed Central

77. Newman AM, Lovejoy AF, Klass DM, Kurtz DM, Chabon JJ, Scherer F, et al. Integrated digital error suppression for improved detection of circulating tumor DNA. Nat Biotechnol 2016;34:547–55.10.1038/nbt.3520Search in Google Scholar PubMed PubMed Central

78. Sefrioui D, Blanchard F, Toure E, Basile P, Beaussire L, Dolfus C, et al. Diagnostic value of CA19.9, circulating tumour DNA and circulating tumour cells in patients with solid pancreatic tumours. Br J Cancer 2017;117:1017–25.10.1038/bjc.2017.250Search in Google Scholar PubMed PubMed Central

Received: 2019-04-26
Accepted: 2019-08-06
Published Online: 2019-09-06
Published in Print: 2020-01-28

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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