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单细胞多组学分析无偏解码胰腺癌肿瘤微环境。

Unbiasedly decoding the tumor microenvironment with single-cell multiomics analysis in pancreatic cancer.

机构信息

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.

出版信息

Mol Cancer. 2024 Jul 9;23(1):140. doi: 10.1186/s12943-024-02050-7.


DOI:10.1186/s12943-024-02050-7
PMID:38982491
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11232163/
Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/3f42fac4f889/12943_2024_2050_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/c5672f14592a/12943_2024_2050_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/9f36bbcdec2c/12943_2024_2050_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/3ecf64846b02/12943_2024_2050_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/3f42fac4f889/12943_2024_2050_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/c5672f14592a/12943_2024_2050_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/9f36bbcdec2c/12943_2024_2050_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/3ecf64846b02/12943_2024_2050_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fe0/11232163/3f42fac4f889/12943_2024_2050_Fig4_HTML.jpg

相似文献

[1]
Unbiasedly decoding the tumor microenvironment with single-cell multiomics analysis in pancreatic cancer.

Mol Cancer. 2024-7-9

[2]
Deciphering the Prognostic Implications of the Components and Signatures in the Immune Microenvironment of Pancreatic Ductal Adenocarcinoma.

Front Immunol. 2021

[3]
Single-cell transcriptome analysis of tumor and stromal compartments of pancreatic ductal adenocarcinoma primary tumors and metastatic lesions.

Genome Med. 2020-9-29

[4]
Single-cell RNA sequencing reveals compartmental remodeling of tumor-infiltrating immune cells induced by anti-CD47 targeting in pancreatic cancer.

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[5]
Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression.

EBioMedicine. 2021-4

[6]
Transcriptomic-Based Microenvironment Classification Reveals Precision Medicine Strategies for Pancreatic Ductal Adenocarcinoma.

Gastroenterology. 2024-5

[7]
Panoramic tumor microenvironment in pancreatic ductal adenocarcinoma.

Cell Oncol (Dordr). 2024-10

[8]
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment.

NPJ Syst Biol Appl. 2023-11-10

[9]
Targeting the dynamic transcriptional landscape of Treg subpopulations in pancreatic ductal adenocarcinoma: Insights from single-cell RNA sequencing analysis with a focus on CTLA4 and TIGIT.

Immunobiology. 2024-7

[10]
SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.

BMC Med Genomics. 2020-4-3

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[2]
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[3]
Heterogenous cancer-associated fibroblasts related tumor microenvironment marked by CD10/KLF4/TIAM1 were identified in pancreatic adenocarcinoma by integrated transcriptomics.

Front Immunol. 2025-4-14

[4]
Mendelian Randomization Combined with Single-Cell Transcriptome Analysis Reveals the Role of the Key Gene PCLAF in the Pathogenesis of Atopic Dermatitis.

Clin Cosmet Investig Dermatol. 2025-4-8

[5]
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[6]
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[7]
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本文引用的文献

[1]
Seeing data as t-SNE and UMAP do.

Nat Methods. 2024-6

[2]
Multiomics integration reveals NETosis heterogeneity and TLR2 as a prognostic biomarker in pancreatic cancer.

NPJ Precis Oncol. 2024-5-20

[3]
Spatial genomic, biochemical and cellular mechanisms underlying meningioma heterogeneity and evolution.

Nat Genet. 2024-6

[4]
Integrated analysis of scRNA-seq and bulk RNA-seq reveals that GPRC5A is an important prognostic gene in pancreatic cancer and is associated with B-cell Infiltration in pancreatic cancer.

Front Oncol. 2024-4-3

[5]
The crosstalk between macrophages and cancer cells potentiates pancreatic cancer cachexia.

Cancer Cell. 2024-5-13

[6]
Pancreatic cancer-associated fibroblasts modulate macrophage differentiation via sialic acid-Siglec interactions.

Commun Biol. 2024-4-9

[7]
Tumor cell-intrinsic epigenetic dysregulation shapes cancer-associated fibroblasts heterogeneity to metabolically support pancreatic cancer.

Cancer Cell. 2024-5-13

[8]
The GFPT2-O-GlcNAcylation-YBX1 axis promotes IL-18 secretion to regulate the tumor immune microenvironment in pancreatic cancer.

Cell Death Dis. 2024-4-4

[9]
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis.

Nat Methods. 2024-8

[10]
Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils.

Nat Protoc. 2024-6

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