{"title":"Direct identification of T cell epitopes in cancer tissues.","authors":"Yingkuan Shao, Tengyi Zhang, Betul Celiker, Kenji Fujiwara","doi":"10.21037/apc-2023-1","DOIUrl":null,"url":null,"abstract":"<p><p>Prediction of tumor-specific T cell epitopes is an important part of cancer immunotherapies. In the past, tumor-specific T cell epitopes were identified by mapping the epitopes on the known cancer-testis antigens and tumor-associated antigens or antigens that react to the T cells induced by the cancer vaccine therapy. More recently, in silico prediction of mutation-associated neoepitopes from the whole-exome sequencing (WES) results has become another approach. However, although this approach often identifies many predicted peptides, only few have been shown to be immunogenic. Mass spectrometry (MS) has also been used to directly identify the T cell epitopes presented on tumor cell by eluting the peptides from human leukocyte antigens (HLA) class I and class II molecules. This approach of identifying neoepitopes was demonstrated to be feasible in high tumor mutation burden (TMB) tumors such as melanoma. However, identifying low-TMB-tumor-specific T cell epitopes has been challenging. Recently, Fujiwara <i>et al.</i> reported their successful result in identifying T cell epitopes in a low TMB tumor, namely pancreatic ductal adenocarcinoma (PDAC). Using the MS approach, they identified T cell epitopes shared by multiple pancreatic cancer patients with different HLA types. Moreover, they demonstrated that the identified epitopes bound non-matched HLA molecules and induced T cell response in peripheral T cells from non-HLA-type matched patients. Their study has opened a new venue for identifying T cell epitopes in a non-immunogenic tumor such as PDAC for the design and development of vaccine and T cell therapy.</p>","PeriodicalId":8372,"journal":{"name":"Annals of Pancreatic Cancer","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10722904/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Pancreatic Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/apc-2023-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Prediction of tumor-specific T cell epitopes is an important part of cancer immunotherapies. In the past, tumor-specific T cell epitopes were identified by mapping the epitopes on the known cancer-testis antigens and tumor-associated antigens or antigens that react to the T cells induced by the cancer vaccine therapy. More recently, in silico prediction of mutation-associated neoepitopes from the whole-exome sequencing (WES) results has become another approach. However, although this approach often identifies many predicted peptides, only few have been shown to be immunogenic. Mass spectrometry (MS) has also been used to directly identify the T cell epitopes presented on tumor cell by eluting the peptides from human leukocyte antigens (HLA) class I and class II molecules. This approach of identifying neoepitopes was demonstrated to be feasible in high tumor mutation burden (TMB) tumors such as melanoma. However, identifying low-TMB-tumor-specific T cell epitopes has been challenging. Recently, Fujiwara et al. reported their successful result in identifying T cell epitopes in a low TMB tumor, namely pancreatic ductal adenocarcinoma (PDAC). Using the MS approach, they identified T cell epitopes shared by multiple pancreatic cancer patients with different HLA types. Moreover, they demonstrated that the identified epitopes bound non-matched HLA molecules and induced T cell response in peripheral T cells from non-HLA-type matched patients. Their study has opened a new venue for identifying T cell epitopes in a non-immunogenic tumor such as PDAC for the design and development of vaccine and T cell therapy.
预测肿瘤特异性 T 细胞表位是癌症免疫疗法的重要组成部分。过去,肿瘤特异性 T 细胞表位是通过绘制已知的癌症试管抗原、肿瘤相关抗原或与癌症疫苗疗法诱导的 T 细胞有反应的抗原上的表位来确定的。最近,从全外显子组测序(WES)结果中对突变相关新表位进行硅预测已成为另一种方法。然而,尽管这种方法往往能识别出许多预测的多肽,但只有少数被证明具有免疫原性。质谱法(MS)也被用来直接识别肿瘤细胞上的 T 细胞表位,方法是洗脱人类白细胞抗原(HLA)I 类和 II 类分子中的肽。事实证明,这种识别新表位的方法在黑色素瘤等高肿瘤突变负荷(TMB)肿瘤中是可行的。然而,鉴定低TMB肿瘤特异性T细胞表位一直是个挑战。最近,Fujiwara 等人报告了他们在低 TMB 肿瘤,即胰腺导管腺癌(PDAC)中鉴定 T 细胞表位的成功结果。利用 MS 方法,他们确定了具有不同 HLA 类型的多个胰腺癌患者共有的 T 细胞表位。此外,他们还证明了所识别的表位与非匹配的 HLA 分子结合,并诱导非 HLA 类型匹配患者的外周 T 细胞产生 T 细胞反应。他们的研究为确定 PDAC 等非免疫原性肿瘤中的 T 细胞表位,从而设计和开发疫苗和 T 细胞疗法开辟了新途径。