High-sensitivity mutation analysis of cell-free DNA for disease monitoring in endometrial cancer Journal Article


Authors: Ashley, C. W.; Selenica, P.; Patel, J.; Wu, M.; Nincevic, J.; Lakhman, Y.; Zhou, Q.; Shah, R. H.; Berger, M. F.; Da Cruz Paula, A.; Brown, D. N.; Marra, A.; Iasonos, A.; Momeni-Boroujeni, A.; Alektiar, K. M.; Long Roche, K.; Zivanovic, O.; Mueller, J. J.; Zamarin, D.; Broach, V. A.; Sonoda, Y.; Leitao, M. M. Jr; Friedman, C. F.; Jewell, E.; Reis-Filho, J. S.; Ellenson, L. H.; Aghajanian, C.; Abu-Rustum, N. R.; Cadoo, K.; Weigelt, B.
Article Title: High-sensitivity mutation analysis of cell-free DNA for disease monitoring in endometrial cancer
Abstract: PURPOSE: We sought to determine whether sequencing analysis of circulating cell-free DNA (cfDNA) in patients with prospectively accrued endometrial cancer captures the mutational repertoire of the primary lesion and allows for disease monitoring. EXPERIMENTAL DESIGN: Peripheral blood was prospectively collected from 44 newly diagnosed patients with endometrial cancer over a 24-month period (i.e., baseline, postsurgery, every 6 months after). DNA from the primary endometrial cancers was subjected to targeted next-generation sequencing (NGS) of 468 cancer-related genes, and cfDNA to a high-depth NGS assay of 129 genes with molecular barcoding. Sequencing data were analyzed using validated bioinformatics methods. RESULTS: cfDNA levels correlated with surgical stage in endometrial cancers, with higher levels of cfDNA being present in advanced-stage disease. Mutations in cfDNA at baseline were detected preoperatively in 8 of 36 (22%) patients with sequencing data, all of whom were diagnosed with advanced-stage disease, high tumor volume, and/or aggressive histologic type. Of the 38 somatic mutations identified in the primary tumors also present in the cfDNA assay, 35 (92%) and 38 (100%) were detected at baseline and follow-up, respectively. In 6 patients with recurrent disease, changes in circulating tumor DNA (ctDNA) fraction/variant allele fractions in cfDNA during follow-up closely mirrored disease progression and therapy response, with a lead time over clinically detected recurrence in two cases. The presence of ctDNA at baseline (P < 0.001) or postsurgery (P = 0.014) was significantly associated with reduced progression-free survival. CONCLUSIONS: cfDNA sequencing analysis in patients with endometrial cancer at diagnosis has prognostic value, and serial postsurgery cfDNA analysis enables disease and treatment response monitoring. See related commentary by Grant et al., p. 305. ©2022 American Association for Cancer Research.
Keywords: genetics; mutation; endometrial neoplasms; tumor marker; endometrium tumor; procedures; high throughput sequencing; high-throughput nucleotide sequencing; humans; prognosis; human; female; circulating tumor dna; biomarkers, tumor; cell-free nucleic acids; cell free nucleic acid
Journal Title: Clinical Cancer Research
Volume: 29
Issue: 2
ISSN: 1078-0432
Publisher: American Association for Cancer Research  
Date Published: 2023-01-15
Start Page: 410
End Page: 421
Language: English
DOI: 10.1158/1078-0432.Ccr-22-1134
PUBMED: 36007103
PROVIDER: scopus
PMCID: PMC9852004
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Corresponding author is MSK author: Britta Weigelt -- Source: Scopus
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MSK Authors
  1. Yuliya Lakhman
    96 Lakhman
  2. Elizabeth Jewell
    131 Jewell
  3. Kaled M Alektiar
    333 Alektiar
  4. Yukio Sonoda
    472 Sonoda
  5. Mario Leitao
    575 Leitao
  6. Dmitriy Zamarin
    201 Zamarin
  7. Oliver Zivanovic
    291 Zivanovic
  8. Qin Zhou
    254 Zhou
  9. Alexia Elia Iasonos
    363 Iasonos
  10. Michael Forman Berger
    765 Berger
  11. Karen Anne Cadoo
    113 Cadoo
  12. Ronak Hasmukh Shah
    72 Shah
  13. Britta Weigelt
    633 Weigelt
  14. Jennifer Jean Mueller
    186 Mueller
  15. Claire Frances Friedman
    117 Friedman
  16. Vance Andrew Broach
    115 Broach
  17. Pier Selenica
    190 Selenica
  18. Juber Ahamad Abdul Bari Patel
    32 Patel
  19. David Norman Brown
    91 Brown
  20. Charles Warner Ashley
    13 Ashley
  21. Michelle Wu
    24 Wu
  22. Lora Hedrick Ellenson
    109 Ellenson
  23. Antonio Marra
    44 Marra