美国加州大学旧金山分校Matthew F. Krummel、Alexis J. Combes等研究人员合作在泛癌普查中发现主导的肿瘤免疫原型。相关论文于2021年12月27日在线发表在《细胞》杂志上。
研究人员表示，癌症在起源组织、驱动突变和周围组织的其他特征方面显示出明显的异质性。各个肿瘤很可能参与了免疫系统的共同模式——即"原型"（archetype），这会创造原型非破坏性的肿瘤免疫微环境（TME），并调节肿瘤的靶向性。
为了发现主导的免疫系统原型，加州大学旧金山分校（UCSF）的Immunoprofiler Initiative（IPI）使用标准化的方案处理了12种癌症类型的364个个体肿瘤。对从细胞亚区获得的流式细胞仪和转录组数据进行计算聚类，发现了各种癌症免疫组成的主导模式。这些原型是深刻的，因为它们还根据独特的免疫和肿瘤基因表达模式来区分肿瘤。它们还划分了既定的肿瘤生物学分类。IPI资源为理解癌症免疫提供了一个模板，可作为免疫组织主导模式的集合，并为学习如何调节这些模式来改善治疗提供了一个合理的途径。
附：英文原文
Title: Discovering dominant tumor immune archetypes in a pan-cancer census
Author: Alexis J. Combes, Bushra Samad, Jessica Tsui, Nayvin W. Chew, Peter Yan, Gabriella C. Reeder, Divyashree Kushnoor, Alan Shen, Brittany Davidson, Andrea J. Barczak, Michael Adkisson, Austin Edwards, Mohammad Naser, Kevin C. Barry, Tristan Courau, Taymour Hammoudi, Rafael J. Argüello, Arjun Arkal Rao, Adam B. Olshen, Matthew Spitzer, Lawrence Fong, Amanda Nelson, Raj Kumar, Justin Lee, Arun Burra, Joy Hsu, Caroline Hackett, Karen Tolentino, Jasmine Sjarif, Peter Johnson, Evans Shao, Darrell Abrau, Leonard Lupin, Cole Shaw, Zachary Collins, Tasha Lea, Carlos Corvera, Eric Nakakura, Julia Carnevale, Michael Alvarado, Kimberley Loo, Lawrence Chen, Melissa Chow, Jennifer Grandis, Will Ryan, Ivan El-Sayed, David Jablons, Gavitt Woodard, Maxwell W. Meng, Sima P. Porten, Hideho Okada, Margaret Tempero, Andrew Ko, Kim Kirkwood, Scott Vandenberg, Denise Guevarra, Erica Oropeza, Chris Cyr, Pat Glenn, Jennifer Bolen, Amanda Morton, Walter Eckalbar, Cathy Cai, Jenny Zhan, Katelyn C. Davis
Issue&Volume: 2021-12-27
Abstract: Cancers display significant heterogeneity with respect to tissue of origin, drivermutations, and other features of the surrounding tissue. It is likely that individualtumors engage common patterns of the immune system—here “archetypes”—creating prototypicalnon-destructive tumor immune microenvironments (TMEs) and modulating tumor-targeting.To discover the dominant immune system archetypes, the University of California, SanFrancisco (UCSF) Immunoprofiler Initiative (IPI) processed 364 individual tumors across12 cancer types using standardized protocols. Computational clustering of flow cytometryand transcriptomic data obtained from cell sub-compartments uncovered dominant patternsof immune composition across cancers. These archetypes were profound insofar as theyalso differentiated tumors based upon unique immune and tumor gene-expression patterns.They also partitioned well-established classifications of tumor biology. The IPI resourceprovides a template for understanding cancer immunity as a collection of dominantpatterns of immune organization and provides a rational path forward to learn howto modulate these to improve therapy.
DOI: 10.1016/j.cell.2021.12.004
Source: https://www.cell.com/cell/fulltext/S0092-8674(21)01426-4