• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

关于特定甘油磷脂区分非小细胞肺癌亚型能力的初步见解。

First insight about the ability of specific glycerophospholipids to discriminate non-small cell lung cancer subtypes.

作者信息

Sieminska Julia, Miniewska Katarzyna, Mroz Robert, Sierko Ewa, Naumnik Wojciech, Kisluk Joanna, Michalska-Falkowska Anna, Reszec Joanna, Kozlowski Miroslaw, Nowicki Lukasz, Moniuszko Marcin, Kretowski Adam, Niklinski Jacek, Ciborowski Michal, Godzien Joanna

机构信息

Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland.

2nd Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, Bialystok, Poland.

出版信息

Front Mol Biosci. 2024 Apr 25;11:1379631. doi: 10.3389/fmolb.2024.1379631. eCollection 2024.

DOI:10.3389/fmolb.2024.1379631
PMID:38725870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11079276/
Abstract

Discrimination between adenocarcinoma (ADC) and squamous cell carcinoma (SCC) subtypes in non-small cell lung cancer (NSCLC) patients is a significant challenge in oncology. Lipidomics analysis provides a promising approach for this differentiation. In an accompanying paper, we explored oxPCs levels in a cohort of 200 NSCLC patients. In this research, we utilized liquid chromatography coupled with mass spectrometry (LC-MS) to analyze the lipidomics profile of matching tissue and plasma samples from 25 NSCLC patients, comprising 11 ADC and 14 SCC cases. This study builds upon our previous findings, which highlighted the elevation of oxidised phosphatidylcholines (oxPCs) in NSCLC patients. We identified eight lipid biomarkers that effectively differentiate between ADC and SCC subtypes using an untargeted approach. Notably, we observed a significant increase in plasma LPA 20:4, LPA 18:1, and LPA 18:2 levels in the ADC group compared to the SCC group. Conversely, tumour PC 16:0/18:2, PC 16:0/4:0; CHO, and plasma PC 16:0/18:2; OH, PC 18:0/20:4; OH, PC 16:0/20:4; OOH levels were significantly higher in the ADC group. Our study is the first to report that plasma LPA levels can distinguish between ADC and SCC patients in NSCLC, suggesting a potential role for LPAs in NSCLC subtyping. This finding warrants further investigation into the mechanisms underlying these differences and their clinical implications.

摘要

在非小细胞肺癌（NSCLC）患者中鉴别腺癌（ADC）和鳞状细胞癌（SCC）亚型是肿瘤学中的一项重大挑战。脂质组学分析为这种鉴别提供了一种有前景的方法。在一篇配套论文中，我们探究了200例NSCLC患者队列中的氧化磷脂酰胆碱（oxPCs）水平。在本研究中，我们利用液相色谱-质谱联用（LC-MS）分析了25例NSCLC患者匹配的组织和血浆样本的脂质组学谱，其中包括11例ADC和14例SCC病例。本研究基于我们之前的发现，即NSCLC患者中氧化磷脂酰胆碱（oxPCs）升高。我们采用非靶向方法鉴定出8种脂质生物标志物，可有效区分ADC和SCC亚型。值得注意的是，我们观察到与SCC组相比，ADC组血浆中溶血磷脂酸（LPA）20:4、LPA 18:1和LPA 18:2水平显著升高。相反，ADC组肿瘤中磷脂酰胆碱（PC）16:0/18:2、PC 16:0/4:0；胆固醇（CHO），以及血浆中PC 16:0/18:2；羟基化（OH）、PC 18:0/20:4；OH、PC 16:0/20:4；过氧化（OOH）水平显著更高。我们的研究首次报道血浆LPA水平可区分NSCLC患者中的ADC和SCC，提示LPA在NSCLC亚型分类中可能发挥作用。这一发现值得进一步研究这些差异背后的机制及其临床意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/9c85f1a24bf5/fmolb-11-1379631-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/4a0923028d7c/fmolb-11-1379631-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/5bb320878d7f/fmolb-11-1379631-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/f1d100ec4003/fmolb-11-1379631-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/4e7323663b87/fmolb-11-1379631-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/421bc94f7969/fmolb-11-1379631-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/3c5ca93a7748/fmolb-11-1379631-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/9c85f1a24bf5/fmolb-11-1379631-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/4a0923028d7c/fmolb-11-1379631-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/5bb320878d7f/fmolb-11-1379631-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/f1d100ec4003/fmolb-11-1379631-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/4e7323663b87/fmolb-11-1379631-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/421bc94f7969/fmolb-11-1379631-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/3c5ca93a7748/fmolb-11-1379631-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b26/11079276/9c85f1a24bf5/fmolb-11-1379631-g007.jpg

相似文献

1
First insight about the ability of specific glycerophospholipids to discriminate non-small cell lung cancer subtypes.关于特定甘油磷脂区分非小细胞肺癌亚型能力的初步见解。
Front Mol Biosci. 2024 Apr 25;11:1379631. doi: 10.3389/fmolb.2024.1379631. eCollection 2024.
2
Exploration of oxidized phosphocholine profile in non-small-cell lung cancer.非小细胞肺癌中氧化磷酸胆碱谱的探索
Front Mol Biosci. 2024 Jan 15;10:1279645. doi: 10.3389/fmolb.2023.1279645. eCollection 2023.
3
The Ability of Metabolomics to Discriminate Non-Small-Cell Lung Cancer Subtypes Depends on the Stage of the Disease and the Type of Material Studied.代谢组学区分非小细胞肺癌亚型的能力取决于疾病阶段和所研究的材料类型。
Cancers (Basel). 2021 Jul 1;13(13):3314. doi: 10.3390/cancers13133314.
4
Development of LC-QTOF-MS method for human lung tissue fingerprinting. A preliminary application to nonsmall cell lung cancer.用于人肺组织指纹图谱分析的液相色谱-四极杆飞行时间质谱法的开发。在非小细胞肺癌中的初步应用。
Electrophoresis. 2017 Sep;38(18):2304-2312. doi: 10.1002/elps.201700022. Epub 2017 May 18.
5
Best immunohistochemical panel in distinguishing adenocarcinoma from squamous cell carcinoma of lung: tissue microarray assay in resected lung cancer specimens.用于鉴别肺腺癌和肺鳞癌的最佳免疫组织化学组合：在肺切除标本中的组织微阵列检测。
Ann Diagn Pathol. 2013 Feb;17(1):85-90. doi: 10.1016/j.anndiagpath.2012.07.006. Epub 2012 Oct 4.
6
Pathologic Assessment After Neoadjuvant Chemotherapy for NSCLC: Importance and Implications of Distinguishing Adenocarcinoma From Squamous Cell Carcinoma.新辅助化疗后非小细胞肺癌的病理评估：从鳞癌中鉴别腺癌的重要性及意义。
J Thorac Oncol. 2019 Mar;14(3):482-493. doi: 10.1016/j.jtho.2018.11.017. Epub 2018 Nov 29.
7
[Expression of hUTP14a in non-small cell lung cancer].[人UTP14a在非小细胞肺癌中的表达]
Beijing Da Xue Xue Bao Yi Xue Ban. 2019 Feb 18;51(1):145-150. doi: 10.19723/j.issn.1671-167X.2019.01.025.
8
Tumor-infiltrating platelets promote the growth of lung adenocarcinoma.肿瘤浸润血小板促进肺腺癌生长。
Transl Oncol. 2024 Jan;39:101813. doi: 10.1016/j.tranon.2023.101813. Epub 2023 Oct 27.
9
SOX30 specially prevents Wnt-signaling to suppress metastasis and improve prognosis of lung adenocarcinoma patients.SOX30 专门防止 Wnt 信号抑制肺腺癌患者的转移并改善预后。
Respir Res. 2018 Dec 4;19(1):241. doi: 10.1186/s12931-018-0952-3.
10
Molecular signature and pathway analysis of human primary squamous and adenocarcinoma lung cancers.人类原发性鳞癌和腺癌肺癌的分子特征和通路分析。
Am J Cancer Res. 2012;2(1):93-103. Epub 2011 Nov 19.

引用本文的文献

1
Associations between lipids and lung cancer subtypes.脂质与肺癌亚型之间的关联。
Discov Oncol. 2025 May 2;16(1):656. doi: 10.1007/s12672-025-02450-1.
2
Lung Cancer Subtyping: A Short Review.肺癌亚型：简要综述
Cancers (Basel). 2024 Jul 25;16(15):2643. doi: 10.3390/cancers16152643.
3
Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer.脂质代谢在癌症研究与治疗中有价值吗？第一部分——癌症中的脂质代谢。

本文引用的文献

1
Exploration of oxidized phosphocholine profile in non-small-cell lung cancer.非小细胞肺癌中氧化磷酸胆碱谱的探索
Front Mol Biosci. 2024 Jan 15;10:1279645. doi: 10.3389/fmolb.2023.1279645. eCollection 2023.
2
Applied Molecular-Based Quality Control of Biobanked Samples for Multi-Omics Approach.用于多组学方法的生物样本库样本的基于分子的应用质量控制
Cancers (Basel). 2023 Jul 24;15(14):3742. doi: 10.3390/cancers15143742.
3
Application of two-dimensional difference gel electrophoresis to identify protein changes between center, margin, and adjacent non-tumor tissues obtained from non-small-cell lung cancer with adenocarcinoma or squamous cell carcinoma subtype.
Metabolites. 2024 May 29;14(6):312. doi: 10.3390/metabo14060312.
应用二维差异凝胶电泳技术鉴定非小细胞肺癌腺癌或鳞癌亚型的中心、边缘和相邻非肿瘤组织之间的蛋白质变化。
PLoS One. 2022 May 5;17(5):e0268073. doi: 10.1371/journal.pone.0268073. eCollection 2022.
4
Roles of Lipid Profiles in Human Non-Small Cell Lung Cancer.脂质谱在人类非小细胞肺癌中的作用。
Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211041472. doi: 10.1177/15330338211041472.
5
The Ability of Metabolomics to Discriminate Non-Small-Cell Lung Cancer Subtypes Depends on the Stage of the Disease and the Type of Material Studied.代谢组学区分非小细胞肺癌亚型的能力取决于疾病阶段和所研究的材料类型。
Cancers (Basel). 2021 Jul 1;13(13):3314. doi: 10.3390/cancers13133314.
6
Lysophosphatidic Acid: Promoter of Cancer Progression and of Tumor Microenvironment Development. A Promising Target for Anticancer Therapies?溶血磷脂酸：促进癌症进展和肿瘤微环境发展。是否有望成为抗癌治疗的新靶点？
Cells. 2021 Jun 4;10(6):1390. doi: 10.3390/cells10061390.
7
Oxidative Stress in Cancer Cell Metabolism.癌细胞代谢中的氧化应激
Antioxidants (Basel). 2021 Apr 22;10(5):642. doi: 10.3390/antiox10050642.
8
Lipid alterations and subtyping maker discovery of lung cancer based on nontargeted tissue lipidomics using liquid chromatography-mass spectrometry.基于非靶向组织脂质组学的液相色谱-质谱联用技术对肺癌的脂质改变和亚型标志物的发现。
J Pharm Biomed Anal. 2020 Oct 25;190:113520. doi: 10.1016/j.jpba.2020.113520. Epub 2020 Aug 4.
9
Oxidized lipids in the metabolic profiling of neuroendocrine tumors - Analytical challenges and biological implications.神经内分泌肿瘤代谢组学中的氧化脂质：分析挑战与生物学意义。
J Chromatogr A. 2020 Aug 16;1625:461233. doi: 10.1016/j.chroma.2020.461233. Epub 2020 May 28.
10
Liquid Chromatography-Mass Spectrometry-Based Tissue Metabolic Profiling Reveals Major Metabolic Pathway Alterations and Potential Biomarkers of Lung Cancer.基于液相色谱-质谱联用的组织代谢组学分析揭示了肺癌的主要代谢途径改变和潜在的生物标志物。
J Proteome Res. 2020 Sep 4;19(9):3750-3760. doi: 10.1021/acs.jproteome.0c00285. Epub 2020 Jul 31.