Cancer Res Treat.  2022 Apr;54(2):597-612. 10.4143/crt.2021.752.

Plasma Circulating Tumor DNA in Patients with Primary Central Nervous System Lymphoma

Affiliations
  • 1Division of Hematology-oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
  • 2Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
  • 3Department of Health Sciences and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea
  • 4GENINUS Inc., Seoul, Korea
  • 5Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
  • 6Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Korea
  • 7Division of Hematology-Oncology, Department of Internal Medicine, Ewha Medical Research Center, School of Medicine, Ewha Womans University, Seoul, Korea
  • 8Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea

Abstract

Purpose
Analysis of circulating tumor DNA (ctDNA) in blood could allow noninvasive genetic analysis of primary tumors. Although there have been unmet needs for noninvasive methods in patients with primary central nervous system lymphoma (PCNSL), it is still not determined whether plasma ctDNA analysis could be useful for patients with PCNSL.
Materials and Methods
Targeted deep sequencing of 54 genes was performed in cell-free DNA isolated from plasma samples collected pretreatment, during treatment, and at the end of treatment in 42 consecutively diagnosed PCNSL patients between January 2017 and December 2018.
Results
Targeted sequencing of plasma cell-free DNA detected somatic mutations representing ctDNA in 11 cases (11/41, 27%). The detection of ctDNA was not related to the concentration of cell-free DNA or tumor volume. The mutation profiles of these 11 cases varied between patients. The most frequently mutated gene was PIM1 (4/11, 36.4%), whereas KMT2D, PIK3CA, and MYD88 were each observed in three patients (3/11, 27%). The mutations of 13 genes were concordantly found in primary tumor tissue and plasma ctDNA, giving a detection sensitivity of 45%. During the serial tracking of seven patients with complete response, the disappearance of ctDNA mutations was found in four patients, whereas three patients had detected ctDNA mutation at the end of treatment.
Conclusion
The plasma ctDNA mutation analysis still has limited value for surveillance and predicting treatment outcomes of PCNSL because the detection efficiency was lower than other systemic lymphomas. Thus, analytical platforms should be improved to overcome anatomical hurdles associated with PCNSL.

Keyword

Primary CNS lymphoma; Circulating tumor DNA; Prognosis

Figure

  • Fig. 1 Study scheme. (A) Forty-two patients suffering from newly diagnosed primary central nervous system lymphoma (PCNSL) (n=39) or relapsed PCNSL (n=3) were enrolled from January 2017 to December 2018. The plasma cell-free DNA of 41 PCNSL patients (except for one poor-quality DNA sample) was finally analyzed. a)Poor DNA quality. (B) We collected plasma samples sequentially from PCNSL patients at diagnosis, interim, and end of treatment. The obtained samples were interpreted based on high-depth targeted sequencing of 54 genes.

  • Fig. 2 Cell-free DNA (cfDNA) and treatment outcomes in patients with primary central nervous system lymphoma (PCNSL). (A) Overall Kaplan-Meier survival curve of the 42 patients. (B) The median cfDNA concentration of PCNSL (13.5 ng/mL; range, 2.6 to 121.60 ng/mL; orange bar) was significantly higher than diffuse large B-cell lymphoma (DLBCL) (median, 25.48 ng/mL; range, 4.8 to 427.6 ng/mL; blue bar). (C) The concentration of cfDNA was not significantly associated with tumor volume (R2 coefficient=0.02, p=0.90). (D) The concentration of cfDNA was not different according to the tumor location, either. (E, F) Patients were dichotomized into high and low cfDNA groups according to the median value (13.5 ng/mL), and they did not show significant differences of progression-free and overall survival. (G) The sequential changes of cfDNA were not associated with therapeutic response and relapse.

  • Fig. 3 Mutation profiles of plasma circulating tumor DNA (ctDNA) in patients with primary central nervous system lymphoma. (A) The concentration of cell-free DNA (cfDNA) did not differ between patients in whom mutations in plasma ctDNA were detected (blue bar) and not detected (red bar). (B) The detection of mutations was not related to the concentration of cfDNA within the intermediate- and poor-risk groups of International Extranodal Lymphoma Study Group. (C) The progression-free survival did not differ significantly according to the detection of ctDNA mutations (p=0.297). (D) The overall survival did not differ significantly according to the detection of ctDNA mutations (p=0.941). (E) The maximum genome equivalents was not significantly associated with the tumor volume in the 11 patients in whom ctDNA mutations were detected (R2 coefficient=0.210, p=0.450). (F) The mutation profiles of 11 cases showed somatic mutations with variable variant allele fraction detected by targeted sequencing of plasma ctDNA. (G) A comparison of the mutation profiles of plasma ctDNA and primary tumor tissue represented with orange (plasma) and green (tissue).

  • Fig. 4 Pretreatment mutations detected by plasma circulating tumor DNA (ctDNA) and treatment outcomes. (A) A patient (P596) with a high number of mutations at diagnosis experienced early progression during treatment. (B) A patient (P764) with mutations of plasma ctDNA at pretreatment showed disease progression within 10 months after the end of treatment. (C) The summary of 11 patients’ progression-free survival and plasma ctDNA mutation burden at diagnosis.

  • Fig. 5 Serial monitoring of mutation profiles of plasma circulating tumor DNA (ctDNA) in primary central nervous system lymphoma (PCNSL). The ctDNA diversity and levels assessed by targeted deep sequencing are indicated on the y-axis. The time course of diagnosis, interim, and final analysis are indicated on the x-axis. The therapeutic response of patients at the time of analysis was estimated from their International PCNSL Collaborative Group (IPCG). (A) Four patients showing the complete disappearance of ctDNA mutations at the final response evaluation achieved complete response at the end of treatment and maintained their response without any evidence of relapse (P205, P543, P582, and P586). However, one patient obtaining a complete response with a detected DNMT3A mutation at the end of treatment eventually relapsed during follow-up (P297). CR, complete response; PD, progressive disease; PR, partial response. (B) Three patients (P152, P309, and P223) who achieved a complete response assessed by brain magnetic resonance imaging showed the persistence of mutations in plasma ctDNA after treatment. One patient showed a new mutation in the interim analysis but did not show any evidence of relapse at the time of analysis (P152), and another patient receiving hemodialysis showed the persistence of mutations (P309). The other patient harboring a persistent TET2 mutation at the interim and end of treatment analyses showed a late relapse during follow-up (P223). (C) Limitations of ctDNA-based mutation analysis in patients with PCNSL. The plasma ctDNA mutation analysis still has limited value for surveillance and predicting treatment outcomes of PCNSL because the detection efficiency was lower than other systemic lymphomas. CNS, central nervous system.


Cited by  1 articles

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Sang Eun Yoon, Seung-Ho Shin, Dae Keun Nam, Junhun Cho, Won Seog Kim, Seok Jin Kim
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Reference

References

1. Grommes C, DeAngelis LM. Primary CNS lymphoma. J Clin Oncol. 2017; 35:2410–8.
Article
2. Thiel E, Korfel A, Martus P, Kanz L, Griesinger F, Rauch M, et al. High-dose methotrexate with or without whole brain radiotherapy for primary CNS lymphoma (G-PCNSL-SG-1): a phase 3, randomised, non-inferiority trial. Lancet Oncol. 2010; 11:1036–47.
Article
3. Hoang-Xuan K, Bessell E, Bromberg J, Hottinger AF, Preusser M, Ruda R, et al. Diagnosis and treatment of primary CNS lymphoma in immunocompetent patients: guidelines from the European Association for Neuro-Oncology. Lancet Oncol. 2015; 16:e322–32.
Article
4. Vater I, Montesinos-Rongen M, Schlesner M, Haake A, Purschke F, Sprute R, et al. The mutational pattern of primary lymphoma of the central nervous system determined by whole-exome sequencing. Leukemia. 2015; 29:677–85.
Article
5. Zhou Y, Liu W, Xu Z, Zhu H, Xiao D, Su W, et al. Analysis of genomic alteration in primary central nervous system lymphoma and the expression of some related genes. Neoplasia. 2018; 20:1059–69.
Article
6. Jen J, Wu L, Sidransky D. An overview on the isolation and analysis of circulating tumor DNA in plasma and serum. Ann N Y Acad Sci. 2000; 906:8–12.
Article
7. 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.
Article
8. Weaver KD, Grossman SA, Herman JG. Methylated tumor-specific DNA as a plasma biomarker in patients with glioma. Cancer Invest. 2006; 24:35–40.
Article
9. Liu BL, Cheng JX, Zhang W, Zhang X, Wang R, Lin H, et al. Quantitative detection of multiple gene promoter hypermethylation in tumor tissue, serum, and cerebrospinal fluid predicts prognosis of malignant gliomas. Neuro Oncol. 2010; 12:540–8.
Article
10. Best MG, Sol N, Zijl S, Reijneveld JC, Wesseling P, Wurdinger T. Liquid biopsies in patients with diffuse glioma. Acta Neuropathol. 2015; 129:849–65.
Article
11. 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.
12. Hickmann AK, Frick M, Hadaschik D, Battke F, Bittl M, Ganslandt O, et al. Molecular tumor analysis and liquid biopsy: a feasibility investigation analyzing circulating tumor DNA in patients with central nervous system lymphomas. BMC Cancer. 2019; 19:192.
Article
13. Rossi D, Spina V, Bruscaggin A, Gaidano G. Liquid biopsy in lymphoma. Haematologica. 2019; 104:648–52.
Article
14. Hattori K, Sakata-Yanagimoto M, Suehara Y, Yokoyama Y, Kato T, Kurita N, et al. Clinical significance of disease-specific MYD88 mutations in circulating DNA in primary central nervous system lymphoma. Cancer Sci. 2018; 109:225–30.
Article
15. Bobillo S, Crespo M, Escudero L, Mayor R, Raheja P, Carpio C, et al. Cell free circulating tumor DNA in cerebrospinal fluid detects and monitors central nervous system involvement of B-cell lymphomas. Haematologica. 2021; 106:513–21.
Article
16. Wang X, Gao Y, Shan C, Lai M, He H, Bai B, et al. Association of circulating tumor DNA from the cerebrospinal fluid with high-risk CNS involvement in patients with diffuse large B-cell lymphoma. Clin Transl Med. 2021; 11:e236.
Article
17. Abrey LE, Batchelor TT, Ferreri AJ, Gospodarowicz M, Pulczynski EJ, Zucca E, et al. Report of an international workshop to standardize baseline evaluation and response criteria for primary CNS lymphoma. J Clin Oncol. 2005; 23:5034–43.
Article
18. 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.
Article
19. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20:1297–303.
Article
20. Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics. 2011; 27:2987–93.
Article
21. Shin SH, Kim YJ, Lee D, Cho D, Ko YH, Cho J, et al. Analysis of circulating tumor DNA by targeted ultra-deep sequencing across various non-Hodgkin lymphoma subtypes. Leuk Lymphoma. 2019; 60:2237–46.
Article
22. Fontanilles M, Marguet F, Bohers E, Viailly PJ, Bertrand P, Dubois S, et al. Somatic mutations detected in plasma cell-free DNA by targeted sequencing: assessment of liquid biopsy in primary central nervous system lymphoma. Blood. 2015; 126:332.
Article
23. Watanabe J, Natsumeda M, Kanemaru Y, Okada M, Oishi M, Kakita A, et al. Comparison of circulating tumor DNA between body fluids in patients with primary central nervous system lymphoma. Leuk Lymphoma. 2019; 60:3587–9.
Article
24. Asmar F, Punj V, Christensen J, Pedersen MT, Pedersen A, Nielsen AB, et al. Genome-wide profiling identifies a DNA methylation signature that associates with TET2 mutations in diffuse large B-cell lymphoma. Haematologica. 2013; 98:1912–20.
Article
25. Reddy A, Zhang J, Davis NS, Moffitt AB, Love CL, Waldrop A, et al. Genetic and functional drivers of diffuse large B cell lymphoma. Cell. 2017; 171:481–94.
Article
26. Kubuki Y, Yamaji T, Hidaka T, Kameda T, Shide K, Sekine M, et al. TET2 mutation in diffuse large B-cell lymphoma. J Clin Exp Hematop. 2017; 56:145–9.
27. Dominguez PM, Ghamlouch H, Rosikiewicz W, Kumar P, Beguelin W, Fontan L, et al. TET2 deficiency causes germinal center hyperplasia, impairs plasma cell differentiation, and promotes B-cell lmphomagenesis. Cancer Discov. 2018; 8:1632–53.
28. Fontanilles M, Marguet F, Bohers E, Viailly PJ, Dubois S, Bertrand P, et al. Non-invasive detection of somatic mutations using next-generation sequencing in primary central nervous system lymphoma. Oncotarget. 2017; 8:48157–68.
Article
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