Title |
Peripheral T cell receptor diversity is associated with clinical outcomes following ipilimumab treatment in metastatic melanoma
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Published in |
Journal for Immunotherapy of Cancer, June 2015
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DOI | 10.1186/s40425-015-0070-4 |
Pubmed ID | |
Authors |
Michael A. Postow, Manuarii Manuel, Phillip Wong, Jianda Yuan, Zhiwan Dong, Cailian Liu, Solène Perez, Isabelle Tanneau, Marlène Noel, Anaïs Courtier, Nicolas Pasqual, Jedd D. Wolchok |
Abstract |
Ipilimumab improves overall survival in a subset of patients with metastatic melanoma. Peripheral blood T cell receptor (TCR) repertoire diversity has been associated with favorable outcomes in patients with cancer, but its relevance as a biomarker for ipilimumab outcomes remains unknown. In this pilot study, we analyzed the pre-treatment peripheral blood TCR repertoire in 12 patients with metastatic melanoma who received ipilimumab at 3 mg/kg (clinical benefit, n = 4; no clinical benefit, n = 8). TCR diversity was evaluated using a polymerase chain reaction assay which measures TCR combinatorial diversity between V and J genes from genomic DNA. TCR repertoire diversity was studied through richness (observed V-J rearrangements) and evenness (similarity between the frequencies of specific V-J rearrangements). The Wilcoxon rank sum test was used to compare patients with clinical benefit and those without. Association with benefit in a dichotomized analysis was assessed through a Fisher's exact test. Overall survival was studied through log-rank analysis. There was a significant difference in richness (p = 0.033) and evenness (p = 0.028) between patients with and without clinical benefit. Dichotomized analysis showed that none of the patients with low richness (n = 0/5, p = 0.081) nor low evenness (n = 0/7, p = 0.01) achieved clinical benefit. There were no significant differences in overall survival. In this small group of patients, baseline TCR diversity in the peripheral blood was associated with clinical outcomes. Further investigation is ongoing in larger cohorts of patients to explore these preliminary findings and determine whether TCR diversity can be used as a predictive biomarker in cancer immunotherapy. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 33% |
Canada | 2 | 22% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 56% |
Scientists | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 156 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 31 | 19% |
Student > Ph. D. Student | 29 | 18% |
Student > Master | 16 | 10% |
Other | 10 | 6% |
Student > Doctoral Student | 10 | 6% |
Other | 26 | 16% |
Unknown | 37 | 23% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 40 | 25% |
Biochemistry, Genetics and Molecular Biology | 30 | 19% |
Agricultural and Biological Sciences | 21 | 13% |
Immunology and Microbiology | 13 | 8% |
Computer Science | 3 | 2% |
Other | 9 | 6% |
Unknown | 43 | 27% |