Jingyi Yang, Xiaole Song, Huankang Zhang, Quan Liu, Ruoyan Wei, Luo Guo, Cuncun Yuan, Fu Chen, Kai Xue, Yuting Lai, Li Wang, Junfeng Shi, Chengle Zhou, Juan Wang, Yingxuan Yu, Qibing Mei, Li Hu, Huan Wang, Chen Zhang, Qianqian Zhang, Houyong Li, Ye Gu, Weidong Zhao, Huapeng Yu, Jingjing Wang, Zhuofu Liu, Han Li, Shixing Zheng, Juan Liu, Lu Yang, Wanpeng Li, Rui Xu, Jiani Chen, Yumin Zhou, Xiankui Cheng, Yiqun Yu, Dehui Wang, Xicai Sun, Hongmeng Yu
{"title":"Single-cell transcriptomic landscape deciphers olfactory neuroblastoma subtypes and intra-tumoral heterogeneity.","authors":"Jingyi Yang, Xiaole Song, Huankang Zhang, Quan Liu, Ruoyan Wei, Luo Guo, Cuncun Yuan, Fu Chen, Kai Xue, Yuting Lai, Li Wang, Junfeng Shi, Chengle Zhou, Juan Wang, Yingxuan Yu, Qibing Mei, Li Hu, Huan Wang, Chen Zhang, Qianqian Zhang, Houyong Li, Ye Gu, Weidong Zhao, Huapeng Yu, Jingjing Wang, Zhuofu Liu, Han Li, Shixing Zheng, Juan Liu, Lu Yang, Wanpeng Li, Rui Xu, Jiani Chen, Yumin Zhou, Xiankui Cheng, Yiqun Yu, Dehui Wang, Xicai Sun, Hongmeng Yu","doi":"10.1038/s43018-024-00855-5","DOIUrl":null,"url":null,"abstract":"<p><p>Olfactory neuroblastoma (ONB) is a rare malignancy known to originate from the olfactory epithelium. The complex tumor ecosystem of this pathology remains unclear. Here, we explored the cellular components within ten ONB tumors and one olfactory mucosa sample based on single-cell RNA profiles. We showed the intra-tumoral heterogeneity by identifying five unique expression programs among malignant epithelial cells. A distinct three-classification system (neural, basal, mesenchymal) for ONB was established according to the distinguished gene expression patterns. Biomarkers for categorizing bulk tumors into uncharacterized subtypes were elucidated. Different responses towards certain chemotherapy regimens could be cautiously inferred according to the molecular features representing the three tumor types, thus helping with precision chemotherapy. We also analyzed subclusters of the tumor microenvironment (TME) and the interactions among different cell types within the TME. The relative abundance of immunosuppressive tumor-associated macrophages suggests potential benefits of immunotherapies targeting macrophages.</p>","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":" ","pages":""},"PeriodicalIF":23.5000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s43018-024-00855-5","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Olfactory neuroblastoma (ONB) is a rare malignancy known to originate from the olfactory epithelium. The complex tumor ecosystem of this pathology remains unclear. Here, we explored the cellular components within ten ONB tumors and one olfactory mucosa sample based on single-cell RNA profiles. We showed the intra-tumoral heterogeneity by identifying five unique expression programs among malignant epithelial cells. A distinct three-classification system (neural, basal, mesenchymal) for ONB was established according to the distinguished gene expression patterns. Biomarkers for categorizing bulk tumors into uncharacterized subtypes were elucidated. Different responses towards certain chemotherapy regimens could be cautiously inferred according to the molecular features representing the three tumor types, thus helping with precision chemotherapy. We also analyzed subclusters of the tumor microenvironment (TME) and the interactions among different cell types within the TME. The relative abundance of immunosuppressive tumor-associated macrophages suggests potential benefits of immunotherapies targeting macrophages.
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale.
In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.