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空间转录组分析多样化患者队列揭示三阴性乳腺癌中保守的结构。

Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer.

机构信息

Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.

Department of Pathology, Virginia Commonwealth University, Richmond, Virginia.

出版信息

Cancer Res. 2023 Jan 4;83(1):34-48. doi: 10.1158/0008-5472.CAN-22-2682.

Abstract

UNLABELLED

Triple-negative breast cancer (TNBC) is an aggressive disease that disproportionately affects African American (AA) women. Limited targeted therapeutic options exist for patients with TNBC. Here, we employ spatial transcriptomics to interrogate tissue from a racially diverse TNBC cohort to comprehensively annotate the transcriptional states of spatially resolved cellular populations. A total of 38,706 spatial features from a cohort of 28 sections from 14 patients were analyzed. Intratumoral analysis of spatial features from individual sections revealed heterogeneous transcriptional substructures. However, integrated analysis of all samples resulted in nine transcriptionally distinct clusters that mapped across all individual sections. Furthermore, novel use of join count analysis demonstrated nonrandom directional spatial dependencies of the transcriptionally defined shared clusters, supporting a conserved spatio-transcriptional architecture in TNBC. These findings were substantiated in an independent validation cohort comprising 17,861 spatial features representing 15 samples from 8 patients. Stratification of samples by race revealed race-associated differences in hypoxic tumor content and regions of immune-rich infiltrate. Overall, this study combined spatial and functional molecular analyses to define the tumor architecture of TNBC, with potential implications in understanding TNBC disparities.

SIGNIFICANCE

Spatial transcriptomics profiling of a diverse cohort of triple-negative breast cancers and innovative informatics approaches reveal a conserved cellular architecture across cancers and identify proportional differences in tumor cell composition by race.

摘要

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三阴性乳腺癌(TNBC)是一种侵袭性疾病,不成比例地影响非裔美国(AA)女性。TNBC 患者的靶向治疗选择有限。在这里,我们采用空间转录组学来研究来自种族多样化 TNBC 队列的组织,以全面注释空间分辨细胞群体的转录状态。对来自 14 名患者的 28 个切片的共 38706 个空间特征进行了分析。对来自单个切片的空间特征的肿瘤内分析显示出转录亚结构的异质性。然而,对所有样本的综合分析导致了九个在所有个体切片上具有转录特征的簇。此外,联合计数分析的新用途证明了转录定义的共享簇的非随机定向空间依赖性,支持 TNBC 中保守的空间转录结构。这些发现在一个由 8 名患者的 15 个样本的 17861 个空间特征组成的独立验证队列中得到了证实。按种族对样本进行分层显示出肿瘤缺氧含量和免疫浸润丰富区域的种族相关差异。总的来说,这项研究结合了空间和功能分子分析,定义了 TNBC 的肿瘤结构,这可能对理解 TNBC 的差异具有重要意义。

意义

对多样化的三阴性乳腺癌队列进行空间转录组分析和创新的信息学方法揭示了癌症之间保守的细胞结构,并确定了按种族划分的肿瘤细胞组成的比例差异。

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本文引用的文献

1
NDRG1 in Aggressive Breast Cancer Progression and Brain Metastasis.
J Natl Cancer Inst. 2022 Apr 11;114(4):579-591. doi: 10.1093/jnci/djab222.
2
A single-cell and spatially resolved atlas of human breast cancers.
Nat Genet. 2021 Sep;53(9):1334-1347. doi: 10.1038/s41588-021-00911-1. Epub 2021 Sep 6.
3
Targeting Hypoxia: Hypoxia-Activated Prodrugs in Cancer Therapy.
Front Oncol. 2021 Jul 29;11:700407. doi: 10.3389/fonc.2021.700407. eCollection 2021.
4
Hypoxia Promotes Breast Cancer Cell Growth by Activating a Glycogen Metabolic Program.
Cancer Res. 2021 Oct 1;81(19):4949-4963. doi: 10.1158/0008-5472.CAN-21-0753. Epub 2021 Aug 4.
6
Tumor-Associated Macrophages: A Potential Target for Cancer Therapy.
Front Oncol. 2021 Jun 10;11:693517. doi: 10.3389/fonc.2021.693517. eCollection 2021.
7
Integrated analysis of multimodal single-cell data.
Cell. 2021 Jun 24;184(13):3573-3587.e29. doi: 10.1016/j.cell.2021.04.048. Epub 2021 May 31.
8
A single-cell RNA expression atlas of normal, preneoplastic and tumorigenic states in the human breast.
EMBO J. 2021 Jun 1;40(11):e107333. doi: 10.15252/embj.2020107333. Epub 2021 May 5.
9
Applicability of spatial transcriptional profiling to cancer research.
Mol Cell. 2021 Apr 15;81(8):1631-1639. doi: 10.1016/j.molcel.2021.03.016. Epub 2021 Apr 6.
10
Decoding Cancer Biology One Cell at a Time.
Cancer Discov. 2021 Apr;11(4):960-970. doi: 10.1158/2159-8290.CD-20-1376.

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