CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-infiltrating lymphocytes-based subtypes and genomic characteristics of EBV-associated lymphoepithelioma-like carcinoma.
Tumor-infiltrating lymphocytes-based subtypes and genomic characteristics of EBV-associated lymphoepithelioma-like carcinoma.
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TIL(肿瘤浸润淋巴细胞)(TILs)为淋巴上皮瘤样癌(LELC)的形态学诊断提供了关键依据,也是肿瘤免疫学的基础。迄今为止,尚无报道发现TILs在LELC中具有特定的风险分层价值并将其与基因组变异相关联。基于间质TILs(str-TILs)比例,我们将105例Epstein-Barr病毒(EBV)相关LELC病例分为两个亚型:肿瘤中str-TILs面积比例≥60%的患者归为亚型I,否则归为亚型II。亚型I患者的无进展生存期(PFS)和总生存期(OS)显著更优。
我们还探索了不同受累器官中EBV相关LELC的基因组特征。我们对51例有足够组织的患者进行了全外显子组测序,并分析了EBV相关LELC的基因组特征。
总体而言,EBV相关LELC以低体细胞突变率和低拷贝数变异为特征;富集的遗传病变涉及RTK-RAS、PI3K和细胞周期通路。
此外,基于突变特征和染色体非整倍体定量数据的无监督聚类显示,与其他相同部位的传统癌相比,来自不同器官的EBV相关LELC在遗传学上彼此更为相似。
值得注意的是,伴有致癌驱动基因改变的EBV相关LELC患者与无此类改变的患者相比,预后更差。© 2022 The Pathological Society of Great Britain and Ireland.
Tumor-infiltrating lymphocytes (TILs) offer a key for morphological diagnosis of lymphoepithelioma-like carcinoma (LELC) and are the foundation of oncoimmunology. To date, no reports have found a specific risk stratification value of TILs and related it to genomic variation in LELC.
Based on the stromal TILs (str-TILs) ratio, we classified 105 Epstein-Barr virus (EBV)-associated LELC cases into two subtypes: patients with ≥60% str-TILs area ratio in tumor were classified as subtype I, and otherwise as subtype II. Subtype I patients had significantly better progression-free survival (PFS) and overall survival (OS).
We also explored the genomic characteristics of EBV-associated LELC within different involved organs.
We performed whole-exome sequencing for 51 patients with enough tissue and analyzed the genomic characteristics of EBV-associated LELC.
Overall, EBV-associated LELCs were characterized by a low somatic mutation rate and copy number variations; the enriched genetic lesions affected RTK-RAS, PI3K, and cell cycle pathways.
Moreover, EBV-associated LELCs from different organs were more similar to each other genetically as compared with other traditional carcinomas of the same sites-as evidenced by unsupervised clustering based on the quantitative data from both mutation signature and chromosomal aneuploidies.
Notably, EBV-associated LELC patients with oncogenic driver alterations showed a worse prognosis compared with patients without such alterations. © 2022 The Pathological Society of Great Britain and Ireland.
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