| Autor: |
Ekaterina A. Zhigalova, Anna I. Izosimova, Diana V. Yuzhakova, Lilia N. Volchkova, Irina A. Shagina, Maria A. Turchaninova, Ekaterina O. Serebrovskaya, Elena V. Zagaynova, Dmitriy M. Chudakov, George V. Sharonov |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Frontiers in Oncology, Vol 10 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2234-943X |
| DOI: |
10.3389/fonc.2020.00385 |
| Popis: |
Substantial effort is being invested in the search for peripheral or intratumoral T cell receptor (TCR) repertoire features that could predict the response to immunotherapy. Here we demonstrate the utility of MiXCR software for TCR and immunoglobulin repertoire extraction from RNA-Seq data obtained from sorted tumor-infiltrating T and B cells. We use this approach to extract TCR repertoires from RNA-Seq data obtained from sorted tumor-infiltrating CD4+ and CD8+ T cells in an HKP1 (KrasG12Dp53−/−) syngeneic mouse model of lung cancer after anti-PD-1 treatment. For both subsets, we demonstrate decreased TCR diversity in response to therapy. At a later time point, repertoire diversity is restored in progressing disease but remains decreased in responders to therapy in both CD4+ and CD8+ subsets. These observations complement previous studies and suggest that stably increased intratumoral CD4+ and CD8+ T cell clonality after anti-PD-1/PD-L1 therapy could serve as a predictor of long-term response. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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