定量蛋白质组学揭示了乳腺癌患者转移性疾病进展过程中血清蛋白质组的改变。

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Clinical proteomics Pub Date : 2024-07-29 DOI:10.1186/s12014-024-09496-3
Jaspreet Kaur, Sung Yun Jung, Marie Austdal, Aaditya Krishna Arun, Thomas Helland, Gunnar Mellgren, Tone Hoel Lende, Emiel A M Janssen, Håvard Søiland, Ritu Aneja
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引用次数: 0

摘要

背景:肿瘤复发和转移仍然是导致乳腺癌相关死亡的主要原因。然而,由于缺乏临床注释的纵向样本,与患者匹配的原发性乳腺癌(BC)和转移病灶的蛋白质组尚未得到鉴定。在这项研究中,我们评估了有远处转移和无远处转移的乳腺癌患者的全局蛋白质组情况,并比较了同一患者的远处转移病灶与相应的原发性乳腺癌的蛋白质组:我们对 51 名 BC 患者的 73 份血清样本进行了基于质谱的蛋白质组分析。在 51 名 BC 患者中,29 人未发生转移(以下称非进展期患者),22 人发生转移(以下称进展期患者)。对于这 22 名进展期患者,我们采集了两份样本:一份在确诊后一年内采集,另一份在确诊转移性疾病前一年内采集。质谱数据采用基于强度的绝对定量分析,并在差异表达分析前进行归一化处理。显著差异表达蛋白(DEPs;绝对折叠变化≥1.5,P值 结果:我们在 BC 患者的 73 份血清样本中发现了 967 种蛋白质。其中,39 个蛋白质在确诊时、进展期和非进展期血清样本中发生了改变。其中,4 种蛋白质在进展期患者发生远处转移时发生进一步改变。此外,在进展期肿瘤患者中,诊断时与发生转移时采集的血清中有 20 种蛋白质发生了改变。通路分析表明,这些蛋白质编码了描述转移的通路,包括上皮-间质转化和病灶粘附,它们是转移级联的标志:我们的研究结果凸显了对远处转移样本和诊断时采集的原发性巴塞隆肺癌样本进行配对研究的重要性,以揭示血清中可能参与巴塞隆肺癌进展的蛋白质子集。这项研究为今后的其他研究奠定了基础,这些研究可将这些蛋白质定位为临床监测乳腺癌患者病情进展的非侵入性标志物。
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Quantitative proteomics reveals serum proteome alterations during metastatic disease progression in breast cancer patients.

Background: Tumor recurrence and metastatic progression remains the leading cause for breast cancer related mortalities. However, the proteomes of patient- matched primary breast cancer (BC) and metastatic lesions have not yet been identified, due to the lack of clinically annotated longitudinal samples. In this study, we evaluated the global-proteomic landscape of BC patients with and without distant metastasis as well as compared the proteome of distant metastatic disease with its corresponding primary BC, within the same patient.

Methods: We performed mass spectrometry-based proteome profiling of 73 serum samples from 51 BC patients. Among the 51 patients with BC, 29 remained metastasis-free (henceforth called non-progressors), and 22 developed metastases (henceforth called progressors). For the 22 progressors, we obtained two samples: one collected within a year of diagnosis, and the other collected within a year before the diagnosis of metastatic disease. MS data were analyzed using intensity-based absolute quantification and normalized before differential expression analysis. Significantly differentially expressed proteins (DEPs; absolute fold-change ≥ 1.5, P-value < 0.05 and 30% abundance per clinical group) were subjected to pathway analyses.

Results: We identified 967 proteins among 73 serum samples from patients with BC. Among these, 39 proteins were altered in serum samples at diagnosis, between progressors and non-progressors. Among these, 4 proteins were further altered when the progressors developed distant metastasis. In addition, within progressors, 20 proteins were altered in serum collected at diagnosis versus at the onset of metastasis. Pathway analysis showed that these proteins encoded pathways that describe metastasis, including epithelial-mesenchymal transition and focal adhesion that are hallmarks of metastatic cascade.

Conclusions: Our results highlight the importance of examining matched samples from distant metastasis with primary BC samples collected at diagnosis to unravel subset of proteins that could be involved in BC progression in serum. This study sets the foundation for additional future investigations that could position these proteins as non-invasive markers for clinically monitoring breast cancer progression in patients.

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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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