譜系依賴性基因表達程序影響結直腸癌的免疫圖譜
作者:
小柯機器人發布時間:2020/5/27 14:37:38
韓國三星基因組研究所Woong-Yang Park和比利時魯汶天主教大學Sabine Tejpar合作發現,譜系依賴性基因表達程序影響結直腸癌的免疫圖譜。 這一研究成果於2020年5月25日發表在《自然—遺傳學》雜誌上。
他們分析了來自23名韓國人和6名比利時人的91,103個未分類的單細胞的轉錄組。癌細胞顯示出轉錄特徵,使人聯想到正常的分化程序和遺傳改變,這些遺傳改變顯然促進了由調節性T細胞、成肌纖維細胞和髓樣細胞定向的免疫抑制微環境。
細胞間網絡重建支持癌細胞特徵與特定基質或免疫細胞群之間的關聯。他們對結直腸癌中細胞圖譜和細胞間相互作用的總體觀點,為有效的免疫腫瘤治療策略設計提供了機理信息。
研究人員表示,轉移性結直腸癌的免疫療法僅對錯配修復缺陷的、微衛星不穩定性較高的腫瘤有效,這些腫瘤表現出免疫浸潤,表明腫瘤細胞可以確定其免疫微環境。
附:英文原文
Title: Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer
Author: Hae-Ock Lee, Yourae Hong, Hakki Emre Etlioglu, Yong Beom Cho, Valentina Pomella, Ben Van den Bosch, Jasper Vanhecke, Sara Verbandt, Hyekyung Hong, Jae-Woong Min, Nayoung Kim, Hye Hyeon Eum, Junbin Qian, Bram Boeckx, Diether Lambrechts, Petros Tsantoulis, Gert De Hertogh, Woosung Chung, Taeseob Lee, Minae An, Hyun-Tae Shin, Je-Gun Joung, Min-Hyeok Jung, Gunhwan Ko, Pratyaksha Wirapati, Seok Hyung Kim, Hee Cheol Kim, Seong Hyeon Yun, Iain Bee Huat Tan, Bobby Ranjan, Woo Yong Lee, Tae-You Kim, Jung Kyoon Choi, Young-Joon Kim, Shyam Prabhakar, Sabine Tejpar, Woong-Yang Park
Issue&Volume: 2020-05-25
Abstract: Immunotherapy for metastatic colorectal cancer is effective only for mismatch repair-deficient tumors with high microsatellite instability that demonstrate immune infiltration, suggesting that tumor cells can determine their immune microenvironment. To understand this cross-talk, we analyzed the transcriptome of 91,103 unsorted single cells from 23 Korean and 6 Belgian patients. Cancer cells displayed transcriptional features reminiscent of normal differentiation programs, and genetic alterations that apparently fostered immunosuppressive microenvironments directed by regulatory T cells, myofibroblasts and myeloid cells. Intercellular network reconstruction supported the association between cancer cell signatures and specific stromal or immune cell populations. Our collective view of the cellular landscape and intercellular interactions in colorectal cancer provide mechanistic information for the design of efficient immuno-oncology treatment strategies.
DOI: 10.1038/s41588-020-0636-z
Source: https://www.nature.com/articles/s41588-020-0636-z