Display options
Share it on

J Exp Clin Cancer Res. 2020 Apr 20;39(1):69. doi: 10.1186/s13046-020-01569-z.

Cross-sectional analysis of circulating tumor DNA in primary colorectal cancer at surgery and during post-surgery follow-up by liquid biopsy.

Journal of experimental & clinical cancer research : CR

Matteo Allegretti, Giuliano Cottone, Fabio Carboni, Ettore Cotroneo, Beatrice Casini, Elena Giordani, Carla Azzurra Amoreo, Simonetta Buglioni, Maria Diodoro, Edoardo Pescarmona, Settimio Zazza, Orietta Federici, Massimo Zeuli, Laura Conti, Giovanni Cigliana, Francesco Fiorentino, Mario Valle, Patrizio Giacomini, Francesca Spinella

Affiliations

  1. Oncogenomics and Epigenetics, IRCSS Regina Elena National Cancer Institute, Via Elio Chianesi, 53, 00144, Rome, Italy.
  2. Oncogenomics Division, Eurofins Genoma Group, Via Castel Giubileo, 11, 00138, Rome, Italy.
  3. Digestive Surgery, IRCSS Regina Elena National Cancer Institute, Rome, Italy.
  4. Pathology, IRCSS Regina Elena National Cancer Institute, Rome, Italy.
  5. Medical Oncology 1, IRCSS Regina Elena National Cancer Institute, Rome, Italy.
  6. Clinical Pathology, IRCSS Regina Elena National Cancer Institute, Rome, Italy.
  7. Oncogenomics and Epigenetics, IRCSS Regina Elena National Cancer Institute, Via Elio Chianesi, 53, 00144, Rome, Italy. [email protected].
  8. Oncogenomics Division, Eurofins Genoma Group, Via Castel Giubileo, 11, 00138, Rome, Italy. [email protected].

PMID: 32312295 PMCID: PMC7168847 DOI: 10.1186/s13046-020-01569-z

Abstract

BACKGROUND: Liquid biopsy (LB) in early-stage, non-metastatic colorectal cancer (CRC) must be sensitive enough to detect extremely low circulating tumor DNA (ctDNA) levels. This challenge has been seldom and non-systematically investigated.

METHODS: Next generation sequencing (NGS) and digital PCR (dPCR) were combined to test tumor DNAs (tDNAs) and paired ctDNAs collected at surgery from 39 patients, 12 of whom were also monitored during the immediate post-surgery follow up. Patients treated for metastatic disease (n = 14) were included as controls.

RESULTS: NGS and dPCR concordantly (100% agreement) called at least one single nucleotide variant (SNV) in 34 tDNAs, estimated differences in allelic frequencies being negligible (±1.4%). However, despite dPCR testing, SNVs were only detectable in 15/34 (44.1%) ctDNAs from patients at surgery, as opposed to 14/14 (100%) metastatic patients. This was likely due to striking differences (average 10 times, up to 500) in ctDNA levels between groups. NGS revealed blood-only SNVs, suggesting spatial heterogeneity since pre-surgery disease stages, and raising the combined NGS/dPCR sensitivity to 58.8%. ctDNA levels at surgery correlated with neither tumor size, stage, grade, or nodal status, nor with variant abundance in paired tDNA. LB sensitivity reached 63.6% when ctDNA was combined with CEA. Finally, persistence and absence of ctDNA on the first conventional (month 3) post-surgery follow-up were associated with fast relapse and a disease-free status in 3 and 7 patients, respectively.

CONCLUSIONS: A simple clinical NGS/dPCR/CEA combination effectively addresses the LB challenge in a fraction of non-metastatic CRC patients.

Keywords: Circulating tumor DNA; Colorectal carcinoma; Digital PCR; Liquid biopsy; Next generation sequencing

References

  1. Genome Biol. 2014 Aug 28;15(8):454 - PubMed
  2. N Engl J Med. 2013 Mar 28;368(13):1199-209 - PubMed
  3. Sci Transl Med. 2015 Aug 26;7(302):302ra133 - PubMed
  4. Science. 2018 Feb 23;359(6378):926-930 - PubMed
  5. Cancer Discov. 2018 Feb;8(2):164-173 - PubMed
  6. Clin Cancer Res. 2016 Sep 15;22(18):4604-11 - PubMed
  7. Cancer Genet. 2019 Sep;237:82-89 - PubMed
  8. J Exp Clin Cancer Res. 2018 Mar 5;37(1):47 - PubMed
  9. Oncotarget. 2016 Oct 11;7(41):66595-66605 - PubMed
  10. Sci Transl Med. 2014 Feb 19;6(224):224ra24 - PubMed
  11. Semin Hematol. 2008 Jul;45(3):189-95 - PubMed
  12. Oncologist. 2020 Mar;25(3):235-243 - PubMed
  13. Int J Cancer. 2020 Jan 15;146(2):566-576 - PubMed
  14. Nature. 2017 Apr 26;545(7655):446-451 - PubMed
  15. Gut. 2016 Apr;65(4):625-34 - PubMed
  16. Mol Oncol. 2016 Oct;10(8):1221-31 - PubMed
  17. Trends Pharmacol Sci. 2017 Jan;38(1):25-40 - PubMed
  18. World J Gastroenterol. 2019 Dec 28;25(48):6939-6948 - PubMed
  19. Cancers (Basel). 2019 Jul 17;11(7): - PubMed
  20. J Mol Diagn. 2020 Feb;22(2):247-261 - PubMed
  21. Ann Oncol. 2018 May 1;29(5):1211-1219 - PubMed
  22. Clin Colorectal Cancer. 2018 Mar;17(1):80-83 - PubMed
  23. Sci Rep. 2017 Jun 8;7(1):3032 - PubMed
  24. Int J Cancer. 2019 Aug 31;: - PubMed
  25. Sci Rep. 2019 Nov 22;9(1):17358 - PubMed
  26. J Exp Clin Cancer Res. 2018 Jun 26;37(1):124 - PubMed
  27. Ann Oncol. 2017 Jun 1;28(6):1325-1332 - PubMed
  28. Sci Transl Med. 2017 Aug 16;9(403): - PubMed
  29. Mol Oncol. 2019 Sep;13(9):1827-1835 - PubMed
  30. Cancer Genet. 2017 Dec;218-219:39-50 - PubMed
  31. Nat Genet. 2017 Dec;49(12):1693-1704 - PubMed
  32. Transl Oncol. 2018 Oct;11(5):1220-1224 - PubMed
  33. Ther Adv Med Oncol. 2018 Jun 01;10:1758835918774337 - PubMed

Substances

MeSH terms

Publication Types

Grant support