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基于存档乳腺癌临床标本的蛋白质组学分析可鉴定出具有不同生存结局的生物学亚型。

Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes.

机构信息

Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Interdisciplinary Oncology Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.

出版信息

Nat Commun. 2022 Feb 16;13(1):896. doi: 10.1038/s41467-022-28524-0.


DOI:10.1038/s41467-022-28524-0
PMID:35173148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8850446/
Abstract

Despite advances in genomic classification of breast cancer, current clinical tests and treatment decisions are commonly based on protein level information. Formalin-fixed paraffin-embedded (FFPE) tissue specimens with extended clinical outcomes are widely available. Here, we perform comprehensive proteomic profiling of 300 FFPE breast cancer surgical specimens, 75 of each PAM50 subtype, from patients diagnosed in 2008-2013 (n = 178) and 1986-1992 (n = 122) with linked clinical outcomes. These two cohorts are analyzed separately, and we quantify 4214 proteins across all 300 samples. Within the aggressive PAM50-classified basal-like cases, proteomic profiling reveals two groups with one having characteristic immune hot expression features and highly favorable survival. Her2-Enriched cases separate into heterogeneous groups differing by extracellular matrix, lipid metabolism, and immune-response features. Within 88 triple-negative breast cancers, four proteomic clusters display features of basal-immune hot, basal-immune cold, mesenchymal, and luminal with disparate survival outcomes. Our proteomic analysis characterizes the heterogeneity of breast cancer in a clinically-applicable manner, identifies potential biomarkers and therapeutic targets, and provides a resource for clinical breast cancer classification.

摘要

尽管在乳腺癌的基因组分类方面取得了进展,但目前的临床检测和治疗决策通常基于蛋白质水平的信息。广泛可获得具有扩展临床结局的福尔马林固定石蜡包埋 (FFPE) 组织标本。在这里,我们对 300 个来自 2008-2013 年(n=178)和 1986-1992 年(n=122)诊断的患者的 75 个每种 PAM50 亚型的 300 个 FFPE 乳腺癌手术标本进行了全面的蛋白质组学分析,这些两个队列分别进行分析,我们定量分析了所有 300 个样本中的 4214 种蛋白质。在侵袭性 PAM50 分类的基底样病例中,蛋白质组学分析揭示了两组具有特征性免疫热点表达特征和高度有利的生存。Her2 富集病例分为具有不同细胞外基质、脂质代谢和免疫反应特征的异质组。在 88 例三阴性乳腺癌中,四个蛋白质组簇表现出基底免疫热点、基底免疫冷点、间充质和管腔的特征,具有不同的生存结果。我们的蛋白质组学分析以临床适用的方式描述了乳腺癌的异质性,确定了潜在的生物标志物和治疗靶点,并为临床乳腺癌分类提供了资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/a3da6d56342d/41467_2022_28524_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/5f0f0436225a/41467_2022_28524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/ea6ef2fd9db2/41467_2022_28524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/06575812bdaf/41467_2022_28524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/14dbb5411e50/41467_2022_28524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/4489d51362f0/41467_2022_28524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/1c8a61416fb8/41467_2022_28524_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/a3da6d56342d/41467_2022_28524_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/5f0f0436225a/41467_2022_28524_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/ea6ef2fd9db2/41467_2022_28524_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/06575812bdaf/41467_2022_28524_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/14dbb5411e50/41467_2022_28524_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/4489d51362f0/41467_2022_28524_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/1c8a61416fb8/41467_2022_28524_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6b/8850446/a3da6d56342d/41467_2022_28524_Fig7_HTML.jpg

相似文献

[1]
Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes.

Nat Commun. 2022-2-16

[2]
Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens.

BMC Cancer. 2011-6-16

[3]
Comprehensive transcriptome analysis identifies novel molecular subtypes and subtype-specific RNAs of triple-negative breast cancer.

Breast Cancer Res. 2016-3-15

[4]
Comparison of triple-negative breast cancer molecular subtyping using RNA from matched fresh-frozen versus formalin-fixed paraffin-embedded tissue.

BMC Cancer. 2017-4-4

[5]
Heterogeneity of triple negative breast cancer: Current advances in subtyping and treatment implications.

J Exp Clin Cancer Res. 2022-9-1

[6]
Integrated Multi-Omic Analyses Support Distinguishing Secretory Carcinoma of the Breast from Basal-Like Triple-Negative Breast Cancer.

Proteomics Clin Appl. 2018-9

[7]
Discordance of the PAM50 Intrinsic Subtypes Compared with Immunohistochemistry-Based Surrogate in Breast Cancer Patients: Potential Implication of Genomic Alterations of Discordance.

Cancer Res Treat. 2018-9-5

[8]
iTRAQ-Based Quantitative Proteomic Analysis Strengthens Transcriptomic Subtyping of Triple-Negative Breast Cancer Tumors.

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[9]
PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers.

BMC Med Genomics. 2012-10-4

[10]
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BMC Cancer. 2021-5-31

引用本文的文献

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Prognostic and predictive capacity of tumor infiltrating lymphocytes in the MA.20 regional node radiotherapy trial.

NPJ Breast Cancer. 2025-8-29

[2]
A Validated Proteomic Signature of Basal-like Triple-Negative Breast Cancer Subtypes Obtained from Publicly Available Data.

Cancers (Basel). 2025-8-8

[3]
Identification of copper related biomarkers in breast cancer using machine learning.

Discov Oncol. 2025-8-6

[4]
Exploring immune activation patterns in HER2-low and HER2-ultralow breast cancer subtypes.

Oncologist. 2025-6-4

[5]
Protein-Level Analysis of Differential Response to Chemotherapy in Triple-Negative Breast Cancer Identifies CYP1B1 as a Biomarker for Chemotherapy Resistance.

Cancer Res Commun. 2025-7-1

[6]
Proteomics in Diagnostic Evaluation and Treatment of Breast Cancer: A Scoping Review.

J Pers Med. 2025-4-27

[7]
A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.

Nat Biotechnol. 2025-5-2

[8]
Quantitative proteomics analysis of triple-negative breast cancers.

NPJ Precis Oncol. 2025-4-24

[9]
Deciphering Proteoform Landscape of Mammary Carcinoma by Top-Down Proteomics.

J Proteome Res. 2025-3-7

[10]
Proteomic profiling identifies muscle-invasive bladder cancers with distinct biology and responses to platinum-based chemotherapy.

Nat Commun. 2025-2-1

本文引用的文献

[1]
Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer.

Nat Cancer. 2020-2

[2]
IceR improves proteome coverage and data completeness in global and single-cell proteomics.

Nat Commun. 2021-8-9

[3]
Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.

Cell. 2020-11-25

[4]
Microscaled proteogenomic methods for precision oncology.

Nat Commun. 2020-1-27

[5]
Reactive stroma and trastuzumab resistance in HER2-positive early breast cancer.

Int J Cancer. 2020-7-1

[6]
Immune Checkpoint Profiles in Luminal B Breast Cancer (Alliance).

J Natl Cancer Inst. 2020-7-1

[7]
Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence.

Cell. 2019-9-5

[8]
Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†.

Ann Oncol. 2019-8-1

[9]
g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update).

Nucleic Acids Res. 2019-7-2

[10]
A Multigene Assay Determines Risk of Recurrence in Patients with Triple-Negative Breast Cancer.

Cancer Res. 2019-5-2

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