A radiomic signature model to predict the chemoradiation-induced alteration in tumor-infiltrating CD8+ cells in locally advanced rectal cancer
- 주제(키워드) CD8-positive T-lymphocytes , Chemoradiotherapy , Neoadjuvant therapy , Radiomic score , Radiomics , Rectal neoplasms
- 등재 SCIE, SCOPUS
- 발행기관 Elsevier Ireland Ltd
- 발행년도 2021
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000182160
- 본문언어 영어
- Published As http://dx.doi.org/10.1016/j.radonc.2021.07.004
- PubMed https://pubmed.ncbi.nlm.nih.gov/34265357
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Background and purpose: Regarding the altered tumor immune status following cytotoxic treatment, this study aims to develop a radiomic signature to predict CD8+ tumor-infiltrating lymphocyte (TIL) density changes in chemoradiotherapy (CRT) of rectal cancer. Materials and methods: We used the magnetic resonance imaging (MRI) and immunohistochemistry data before and after neoadjuvant CRT. The discovery datasets consisted of pre-CRT dataset A1 (n = 113), post-CRT datasets A2 (n = 32; predominance of tumor) and A3 (n = 20; pure fibrosis). The developed model was validated in dataset B (n = 28). Thirty-eight radiomic features from T2-weighted MRI scans were incorporated into the least absolute shrinkage and selection operator method. Results: In pre-CRT dataset A1, the area under the receiver operating characteristic curve (AUC) values of radiomic score for predicting CD8+ TILs were 0.760 and 0.729 for training and validation subsets, respectively. A significant correlation was observed between the signature and CD8+ TIL density in the post-CRT dataset A2 (Pearson's R = −0.372, P = 0.036), whereas no association was found in dataset A3 (Pearson's R = −0.069, P = 0.77). The association was also observed in the validation dataset B (Pearson's R = −0.374, P = 0.049). In dataset A2, the radiomic score difference predicted changes in CD8+ TIL density (AUC = 0.824). Conclusion: We established the MRI-derived radiomic signature for predicting CRT-induced alterations in CD8+ TILs. This study suggests the clinical utility of radiomics-immunophenotype modeling to evaluate tumor immune status following neoadjuvant chemoradiation in rectal cancer. © 2021 Elsevier B.V.
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