General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Mol Cancer. 2024 Jul 9;23(1):140. doi: 10.1186/s12943-024-02050-7.
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a poor prognosis and limited therapeutic options. Research on the tumor microenvironment (TME) of PDAC has propelled the development of immunotherapeutic and targeted therapeutic strategies with a promising future. The emergence of single-cell sequencing and mass spectrometry technologies, coupled with spatial omics, has collectively revealed the heterogeneity of the TME from a multiomics perspective, outlined the development trajectories of cell lineages, and revealed important functions of previously underrated myeloid cells and tumor stroma cells. Concurrently, these findings necessitated more refined annotations of biological functions at the cell cluster or single-cell level. Precise identification of all cell clusters is urgently needed to determine whether they have been investigated adequately and to identify target cell clusters with antitumor potential, design compatible treatment strategies, and determine treatment resistance. Here, we summarize recent research on the PDAC TME at the single-cell multiomics level, with an unbiased focus on the functions and potential classification bases of every cellular component within the TME, and look forward to the prospects of integrating single-cell multiomics data and retrospectively reusing bulk sequencing data, hoping to provide new insights into the PDAC TME.
胰腺导管腺癌(PDAC)是一种高度侵袭性的恶性肿瘤,预后不良,治疗选择有限。对 PDAC 肿瘤微环境(TME)的研究推动了免疫治疗和靶向治疗策略的发展,具有广阔的前景。单细胞测序和质谱技术的出现,加上空间组学,从多组学的角度共同揭示了 TME 的异质性,描绘了细胞谱系的发展轨迹,并揭示了以前被低估的髓系细胞和肿瘤基质细胞的重要功能。同时,这些发现需要更精细地注释细胞簇或单细胞水平的生物学功能。迫切需要精确识别所有细胞簇,以确定是否已经充分研究了它们,并确定具有抗肿瘤潜力的靶细胞簇,设计兼容的治疗策略,并确定治疗耐药性。在这里,我们总结了最近在单细胞多组学水平上对 PDAC TME 的研究,无偏倚地关注 TME 中每个细胞成分的功能和潜在分类基础,并期待整合单细胞多组学数据和回顾性再利用批量测序数据的前景,希望为 PDAC TME 提供新的见解。
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