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DOI | 10.1186/s40425-018-0344-8 |
Predicting response to checkpoint inhibitors in melanoma beyond PD-L1 and mutational burden | |
Morrison, Carl1,2,3,4; Pabla, Sarabjot4; Conroy, Jeffrey M.1,4; Nesline, Mary K.4; Glenn, Sean T.3,4; Dressman, Devin4; Papanicolau-Sengos, Antonios4; Burgher, Blake4; Andreas, Jonathan4; Giamo, Vincent4; Qin, Moachun4; Wang, Yirong4; Lenzo, Felicia L.4; Omilian, Angela2; Bshara, Wiam2; Zibelman, Matthew5; Ghatalia, Pooja5; Dragnev, Konstantin6; Shirai, Keisuke6; Madden, Katherine G.6; Tafe, Laura J.6,7; Shah, Neel8; Kasuganti, Deepa8; de la Cruz-Merino, Luis9; Araujo, Isabel9; Saenger, Yvonne10; Bogardus, Margaret10; Villalona-Calero, Miguel11; Diaz, Zuanel11; Day, Roger12; Eisenberg, Marcia13; Anderson, Steven M.13; Puzanov, Igor14; Galluzzi, Lorenzo15,16,17; Gardner, Mark4; Ernstoff, Marc S.14 | |
通讯作者 | Morrison, Carl |
来源期刊 | JOURNAL FOR IMMUNOTHERAPY OF CANCER
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ISSN | 2051-1426 |
出版年 | 2018 |
卷号 | 6 |
英文摘要 | Background: Immune checkpoint inhibitors (ICIs) have changed the clinical management of melanoma. However, not all patients respond, and current biomarkers including PD-L1 and mutational burden show incomplete predictive performance. The clinical validity and utility of complex biomarkers have not been studied in melanoma. Methods: Cutaneous metastatic melanoma patients at eight institutions were evaluated for PD-L1 expression, CD8(+) T-cell infiltration pattern, mutational burden, and 394 immune transcript expression. PD-L1 IHC and mutational burden were assessed for association with overall survival (OS) in 94 patients treated prior to ICI approval by the FDA (historical-controls), and in 137 patients treated with ICIs. Unsupervised analysis revealed distinct immune-clusters with separate response rates. This comprehensive immune profiling data were then integrated to generate a continuous Response Score (RS) based upon response criteria (RECIST v. 1.1). RS was developed using a single institution training cohort (n = 48) and subsequently tested in a separate eight institution validation cohort (n = 29) to mimic a real-world clinical scenario. Results: PD-L1 positivity >= 1% correlated with response and OS in ICI-treated patients, but demonstrated limited predictive performance. High mutational burden was associated with response in ICI-treated patients, but not with OS. Comprehensive immune profiling using RS demonstrated higher sensitivity (72.2%) compared to PD-L1 IHC (34.25%) and tumor mutational burden (32.5%), but with similar specificity. Conclusions: In this study, the response score derived from comprehensive immune profiling in a limited melanoma cohort showed improved predictive performance as compared to PD-L1 IHC and tumor mutational burden. |
英文关键词 | Pembrolizumab Nivolumab Ipilimumab Algorithmic analysis Inflamed Borderline Immune Desert |
类型 | Article |
语种 | 英语 |
国家 | USA ; Spain ; France |
收录类别 | SCI-E |
WOS记录号 | WOS:000431826800001 |
WOS关键词 | CELL LUNG-CANCER ; METASTATIC MELANOMA ; COMBINED NIVOLUMAB ; IMMUNE-CHECKPOINT ; CTLA-4 BLOCKADE ; IPILIMUMAB ; ANTI-PD-1 ; PEMBROLIZUMAB ; SURVIVAL ; ANTIBODY |
WOS类目 | Oncology ; Immunology |
WOS研究方向 | Oncology ; Immunology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/210353 |
作者单位 | 1.Roswell Pk Comprehens Canc Ctr, Ctr Personalized Med, Buffalo, NY 14263 USA; 2.Roswell Pk Comprehens Canc Ctr, Dept Pathol, Buffalo, NY 14263 USA; 3.Roswell Pk Comprehens Canc Ctr, Canc Genet & Gen, Buffalo, NY 14263 USA; 4.OmniSeq Inc, Buffalo, NY 14203 USA; 5.Fox Chase Canc Ctr, Dept Hematol Oncol, 7701 Burholme Ave, Philadelphia, PA 19111 USA; 6.Dartmouth Hitchcock, Dept Hematol & Oncol, Lebanon, NH 03756 USA; 7.Dartmouth Hitchcock, Dept Pathol, Lebanon, NH 03756 USA; 8.Community Hosp, Dept Pathol, Munster, IN 46321 USA; 9.Hosp Univ Virgen Macarena, Dept Clin Oncol Dev, Seville 41009, Spain; 10.Columbia Univ, Dept Med, New York, NY 10032 USA; 11.Miami Canc Inst, Baptist Hlth South Florida, Miami, FL 33176 USA; 12.Univ Pittsburgh, Dept Biomed Informat & Biostat, Pittsburgh, PA 15213 USA; 13.Lab Corp America Holdings, Burlington, NC 27215 USA; 14.Roswell Pk Comprehens Canc Ctr, Dept Med, Buffalo, NY 14263 USA; 15.Weill Cornell Med Coll, Dept Radiat Oncol, New York, NY 10065 USA; 16.Sandra & Edward Meyer Canc Ctr, New York, NY 10065 USA; 17.Univ Paris Descartes Paris V, F-75006 Paris, France |
推荐引用方式 GB/T 7714 | Morrison, Carl,Pabla, Sarabjot,Conroy, Jeffrey M.,et al. Predicting response to checkpoint inhibitors in melanoma beyond PD-L1 and mutational burden[J],2018,6. |
APA | Morrison, Carl.,Pabla, Sarabjot.,Conroy, Jeffrey M..,Nesline, Mary K..,Glenn, Sean T..,...&Ernstoff, Marc S..(2018).Predicting response to checkpoint inhibitors in melanoma beyond PD-L1 and mutational burden.JOURNAL FOR IMMUNOTHERAPY OF CANCER,6. |
MLA | Morrison, Carl,et al."Predicting response to checkpoint inhibitors in melanoma beyond PD-L1 and mutational burden".JOURNAL FOR IMMUNOTHERAPY OF CANCER 6(2018). |
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