Abstract |
Major immunotherapy challenges include a limited number of predictive biomarkers and the unusual imaging features post- therapy, such as pseudo-progression, which denote immune infiltrate-mediated tumor enlargement. Such phenomena confound clinical decision-making, since the cancer may eventually regress, and the patient should stay on treatment. We prospectively evaluated serial, blood-derived cell-free DNA ( cfDNA) (baseline and 2-3 weeks post- immune checkpoint inhibitors [ICIs]) for variant allele frequency (VAF) and blood tumor mutation burden (bTMB) changes (next-generation sequencing) (N = 84 evaluable patients, diverse cancers). Low vs. high cfDNA-derived average adjusted ΔVAF (calculated by a machine-learning model) was an independent predictor of higher clinical benefit rate (stable disease ≥6 months/complete/partial response) (69.2% vs. 22.5%), and longer median progression-free (10.1 vs. 2.25 months) and overall survival (not reached vs. 6.1 months) (all P < .001, multivariate). bTMB changes did not correlate with outcomes. Therefore, early dynamic changes in cfDNA-derived VAF were a powerful predictor of pan- cancer immunotherapy outcomes.
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Authors | Shumei Kato, Bing Li, Jacob J Adashek, Seong Won Cha, Daniella Bianchi-Frias, Dajun Qian, Lisa Kim, Tiffany W So, Marcus Mitchell, Naoki Kamei, Robert Hoiness, Jayne Hoo, Phillip N Gray, Teruaki Iyama, Masahide Kashiwagi, Hsiao-Mei Lu, Razelle Kurzrock |
Journal | Oncoimmunology
(Oncoimmunology)
Vol. 11
Issue 1
Pg. 2052410
( 2022)
ISSN: 2162-402X [Electronic] United States |
PMID | 35371621
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Copyright | © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC. |
Chemical References |
- Immune Checkpoint Inhibitors
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Topics |
- Gene Frequency
- Humans
- Immune Checkpoint Inhibitors
(pharmacology, therapeutic use)
- Liquid Biopsy
- Mutation
- Neoplasms
(drug therapy, genetics, pathology)
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