Overall survival with circulating tumor DNA-guided therapy in advanced non-small-cell lung cancer Journal Article


Authors: Jee, J.; Lebow, E. S.; Yeh, R.; Das, J. P.; Namakydoust, A.; Paik, P. K.; Chaft, J. E.; Jayakumaran, G.; Brannon, A. R.; Benayed, R.; Zehir, A.; Donoghue, M.; Schultz, N.; Chakravarty, D.; Kundra, R.; Madupuri, R.; Murciano-Goroff, Y. R.; Tu, H. Y.; Xu, C. R.; Martinez, A.; Wilhelm, C.; Galle, J.; Daly, B.; Yu, H. A.; Offin, M.; Hellmann, M. D.; Lito, P.; Arbour, K. C.; Zauderer, M. G.; Kris, M. G.; Ng, K. K.; Eng, J.; Preeshagul, I.; Lai, W. V.; Fiore, J. J.; Iqbal, A.; Molena, D.; Rocco, G.; Park, B. J.; Lim, L. P.; Li, M.; Tong-Li, C.; De Silva, M.; Chan, D. L.; Diakos, C. I.; Itchins, M.; Clarke, S.; Pavlakis, N.; Lee, A.; Rekhtman, N.; Chang, J.; Travis, W. D.; Riely, G. J.; Solit, D. B.; Gonen, M.; Rusch, V. W.; Rimner, A.; Gomez, D.; Drilon, A.; Scher, H. I.; Shah, S. P.; Berger, M. F.; Arcila, M. E.; Ladanyi, M.; Levine, R. L.; Shen, R.; Razavi, P.; Reis-Filho, J. S.; Jones, D. R.; Rudin, C. M.; Isbell, J. M.; Li, B. T.
Article Title: Overall survival with circulating tumor DNA-guided therapy in advanced non-small-cell lung cancer
Abstract: Circulating tumor DNA (ctDNA) sequencing guides therapy decisions but has been studied mostly in small cohorts without sufficient follow-up to determine its influence on overall survival. We prospectively followed an international cohort of 1,127 patients with non-small-cell lung cancer and ctDNA-guided therapy. ctDNA detection was associated with shorter survival (hazard ratio (HR), 2.05; 95% confidence interval (CI), 1.74–2.42; P < 0.001) independently of clinicopathologic features and metabolic tumor volume. Among the 722 (64%) patients with detectable ctDNA, 255 (23%) matched to targeted therapy by ctDNA sequencing had longer survival than those not treated with targeted therapy (HR, 0.63; 95% CI, 0.52–0.76; P < 0.001). Genomic alterations in ctDNA not detected by time-matched tissue sequencing were found in 25% of the patients. These ctDNA-only alterations disproportionately featured subclonal drivers of resistance, including RICTOR and PIK3CA alterations, and were associated with short survival. Minimally invasive ctDNA profiling can identify heterogeneous drivers not captured in tissue sequencing and expand community access to life-prolonging therapy. © 2022, The Author(s), under exclusive licence to Springer Nature America, Inc.
Keywords: genetics; mutation; carcinoma, non-small-cell lung; lung neoplasms; tumor marker; lung tumor; non small cell lung cancer; high throughput sequencing; high-throughput nucleotide sequencing; humans; human; circulating tumor dna; biomarkers, tumor
Journal Title: Nature Medicine
Volume: 28
Issue: 11
ISSN: 1078-8956
Publisher: Nature Publishing Group  
Date Published: 2022-11-01
Start Page: 2353
End Page: 2363
Language: English
DOI: 10.1038/s41591-022-02047-z
PUBMED: 36357680
PROVIDER: scopus
PMCID: PMC10338177
DOI/URL:
Notes: Article -- Export Date: 1 December 2022 -- Source: Scopus
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  1. Natasha Rekhtman
    428 Rekhtman
  2. Valerie W Rusch
    869 Rusch
  3. Kenneth K Ng
    57 Ng
  4. David Solit
    780 Solit
  5. Mithat Gonen
    1030 Gonen
  6. Ronglai Shen
    205 Shen
  7. Helena Alexandra Yu
    285 Yu
  8. Piro Lito
    58 Lito
  9. Daniel R Gomez
    240 Gomez
  10. John J Fiore
    14 Fiore
  11. Marc Ladanyi
    1330 Ladanyi
  12. Jamie Erin Chaft
    289 Chaft
  13. William D Travis
    744 Travis
  14. Gregory J Riely
    602 Riely
  15. Bernard J Park
    265 Park
  16. Marjorie G Zauderer
    189 Zauderer
  17. Paul K Paik
    255 Paik
  18. Ross Levine
    782 Levine
  19. Andreas Rimner
    527 Rimner
  20. Ahmet Zehir
    344 Zehir
  21. Michael Forman Berger
    768 Berger
  22. Maria Eugenia Arcila
    666 Arcila
  23. Howard Scher
    1130 Scher
  24. Mark Kris
    870 Kris
  25. Alexander Edward Drilon
    634 Drilon
  26. Matthew David Hellmann
    412 Hellmann
  27. Nikolaus D Schultz
    488 Schultz
  28. Angela Rose Brannon
    99 Brannon
  29. Juliana Wai Ming Eng
    45 Eng
  30. Charles Rudin
    491 Rudin
  31. Pedram Razavi
    175 Razavi
  32. Rym Benayed
    188 Benayed
  33. David Randolph Jones
    418 Jones
  34. Daniela   Molena
    276 Molena
  35. Jason Chih-Peng Chang
    137 Chang
  36. Bob Tingkan Li
    279 Li
  37. Jesse   Galle
    17 Galle
  38. Afsheen Naz Iqbal
    22 Iqbal
  39. Ritika   Kundra
    89 Kundra
  40. Kathryn Cecilia Arbour
    89 Arbour
  41. James Michael Isbell
    127 Isbell
  42. Wei-Chu Victoria Lai
    59 Lai
  43. Michael David Offin
    171 Offin
  44. Robert M Daly
    79 Daly
  45. Sohrab Prakash Shah
    88 Shah
  46. Gaetano Rocco
    132 Rocco
  47. Chongrui Xu
    8 Xu
  48. Randy Yeh
    71 Yeh
  49. Jeeban Paul Das
    43 Das
  50. Hai-Yan Tu
    7 Tu
  51. Emily Schapira Lebow
    49 Lebow
  52. Clare Jon Wilhelm
    25 Wilhelm
  53. Justin Jee
    53 Jee