• 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

基于高分辨率魔角旋转核磁共振波谱的高级别浆液性卵巢癌组织学成分变异性的代谢组学分析。

Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using H HR MAS NMR Spectroscopy.

机构信息

Department of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.

Department of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.

出版信息

Int J Mol Sci. 2024 Oct 10;25(20):10903. doi: 10.3390/ijms252010903.

DOI:10.3390/ijms252010903
PMID:39456684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11507550/
Abstract

In this work, the HR MAS NMR (high-resolution magic-angle spinning nuclear magnetic resonance) spectroscopy technique was combined with standard histological examinations to investigate the metabolic features of high-grade serous ovarian cancer (HGSOC) with a special focus on the relation between a metabolic profile and a cancer cell fraction. The studied group consisted of 44 patients with HGSOC and 18 patients with benign ovarian tumors. Normal ovarian tissue was also excised from 13 control patients. The metabolic profiles of 138 tissue specimens were acquired on a Bruker Avance III 400 MHz spectrometer. The NMR spectra of the HGSOC samples could be discriminated from those acquired from the non-transformed tissue and were shown to depend on tumor purity. The most important features that differentiate the samples with a high fraction of cancer cells from the samples containing mainly fibrotic stroma are the increased intensities in the spectral regions corresponding to phosphocholine/glycerophosphocholine, phosphoethanolamine/serine, threonine, uridine nucleotides and/or uridine diphosphate (UDP) nucleotide sugars. Higher levels of glutamine, glutamate, acetate, lysine, alanine, leucine and isoleucine were detected in the desmoplastic stroma within the HGSOC lesions compared to the stroma of benign tumors. The HR MAS NMR analysis of the metabolic composition of the epithelial and stromal compartments within HGSOC contributes to a better understanding of the disease's biology.

摘要

在这项工作中,高分辨率魔角旋转核磁共振(HR MAS NMR)光谱技术与标准组织学检查相结合,研究高级别浆液性卵巢癌(HGSOC)的代谢特征,特别关注代谢特征与癌细胞分数之间的关系。研究组由 44 名 HGSOC 患者和 18 名良性卵巢肿瘤患者组成。还从 13 名对照患者中切除了正常卵巢组织。在 Bruker Avance III 400 MHz 光谱仪上获取了 138 个组织标本的代谢谱。HGSOC 样本的 NMR 谱可以与未转化组织获得的谱区分开来,并且显示出与肿瘤纯度有关。区分高比例癌细胞样本与主要含纤维性基质样本的最重要特征是与磷酸胆碱/甘油磷酸胆碱、磷酸乙醇胺/丝氨酸、苏氨酸、尿苷核苷酸和/或尿苷二磷酸(UDP)核苷酸糖对应的光谱区域的强度增加。与良性肿瘤的肿瘤间质相比,在 HGSOC 病变的纤维母细胞间质中检测到更高水平的谷氨酰胺、谷氨酸、乙酸盐、赖氨酸、丙氨酸、亮氨酸和异亮氨酸。对 HGSOC 上皮和基质区室代谢成分的 HR MAS NMR 分析有助于更好地了解疾病的生物学特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/dda7751e4ce9/ijms-25-10903-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/652a1d27663d/ijms-25-10903-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/d3d1e7902596/ijms-25-10903-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/8df7f1dce384/ijms-25-10903-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/323a151d72b4/ijms-25-10903-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/65d5a30d9c5f/ijms-25-10903-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/605be876cca4/ijms-25-10903-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/ba821ccd9793/ijms-25-10903-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/511907c8d59e/ijms-25-10903-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/2b4f2ef0ed14/ijms-25-10903-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/0dd8732f82ad/ijms-25-10903-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/d75d489cfdc8/ijms-25-10903-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/a81a5058c9cc/ijms-25-10903-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/aac09384cf95/ijms-25-10903-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/dda7751e4ce9/ijms-25-10903-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/652a1d27663d/ijms-25-10903-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/d3d1e7902596/ijms-25-10903-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/8df7f1dce384/ijms-25-10903-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/323a151d72b4/ijms-25-10903-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/65d5a30d9c5f/ijms-25-10903-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/605be876cca4/ijms-25-10903-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/ba821ccd9793/ijms-25-10903-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/511907c8d59e/ijms-25-10903-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/2b4f2ef0ed14/ijms-25-10903-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/0dd8732f82ad/ijms-25-10903-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/d75d489cfdc8/ijms-25-10903-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/a81a5058c9cc/ijms-25-10903-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/aac09384cf95/ijms-25-10903-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59aa/11507550/dda7751e4ce9/ijms-25-10903-g014.jpg

相似文献

1
Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using H HR MAS NMR Spectroscopy.基于高分辨率魔角旋转核磁共振波谱的高级别浆液性卵巢癌组织学成分变异性的代谢组学分析。
Int J Mol Sci. 2024 Oct 10;25(20):10903. doi: 10.3390/ijms252010903.
2
Grading of endometrial cancer using H HR-MAS NMR-based metabolomics.基于 H HR-MAS NMR 的代谢组学对子宫内膜癌进行分级。
Sci Rep. 2021 Sep 13;11(1):18160. doi: 10.1038/s41598-021-97505-y.
3
Targeted metabolomic profiling of low and high grade serous epithelial ovarian cancer tissues: a pilot study.低级别和高级别浆液性上皮性卵巢癌组织的靶向代谢组学分析:一项初步研究。
Metabolomics. 2018 Nov 24;14(12):154. doi: 10.1007/s11306-018-1448-3.
4
Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy.高分辨魔角旋转 NMR 光谱法分析子宫内膜癌的代谢组学。
Arch Gynecol Obstet. 2022 Dec;306(6):2155-2166. doi: 10.1007/s00404-022-06587-0. Epub 2022 May 14.
5
Discrimination of Basal Cell Carcinoma from Normal Skin Tissue Using High-Resolution Magic Angle Spinning 1H NMR Spectroscopy.使用高分辨率魔角旋转1H NMR光谱法鉴别基底细胞癌与正常皮肤组织
PLoS One. 2016 Mar 2;11(3):e0150328. doi: 10.1371/journal.pone.0150328. eCollection 2016.
6
Metabolomic studies of patient material by high-resolution magic angle spinning nuclear magnetic resonance spectroscopy.通过高分辨率魔角旋转核磁共振波谱法对患者样本进行代谢组学研究。
Methods Enzymol. 2014;543:297-313. doi: 10.1016/B978-0-12-801329-8.00015-5.
7
Characterization of the metabolomic profile of renal cell carcinoma by high resolution magic angle spinning proton magnetic resonance spectroscopy.应用高分辨魔角旋转质子磁共振波谱技术对肾细胞癌代谢组学特征的研究。
Urol Oncol. 2023 Nov;41(11):459.e9-459.e16. doi: 10.1016/j.urolonc.2023.09.005. Epub 2023 Oct 19.
8
Proton magnetic resonance metabolomic characterization of ovarian serous carcinoma effusions: chemotherapy-related effects and comparison with malignant mesothelioma and breast carcinoma.卵巢浆液性囊腺癌胸水中质子磁共振代谢组学特征:化疗相关影响及与恶性间皮瘤和乳腺癌的比较。
Hum Pathol. 2013 Sep;44(9):1859-66. doi: 10.1016/j.humpath.2013.02.009. Epub 2013 May 6.
9
The Relationship between Histological Composition and Metabolic Profile in Breast Tumors and Peritumoral Tissue Determined with H HR-MAS NMR Spectroscopy.用高分辨魔角旋转核磁共振波谱法测定乳腺肿瘤及瘤周组织的组织学组成与代谢谱之间的关系。
Cancers (Basel). 2023 Feb 17;15(4):1283. doi: 10.3390/cancers15041283.
10
Metabolic profiling of colorectal cancer organoids: A comparison between high-resolution magic angle spinning magnetic resonance spectroscopy and solution nuclear magnetic resonance spectroscopy of polar extracts.结直肠癌类器官的代谢谱分析:高分辨率魔角旋转磁共振波谱与极性提取物溶液核磁共振波谱的比较。
NMR Biomed. 2023 Apr;36(4):e4882. doi: 10.1002/nbm.4882. Epub 2022 Dec 22.

本文引用的文献

1
Proteomic landscape of epithelial ovarian cancer.上皮性卵巢癌的蛋白质组学概况。
Nat Commun. 2024 Jul 31;15(1):6462. doi: 10.1038/s41467-024-50786-z.
2
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.2022 年全球癌症统计数据:全球 185 个国家和地区 36 种癌症的发病率和死亡率全球估计数。
CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4.
3
Impact of Cold Ischemia on the Stability of H-MRS-Detected Metabolic Profiles of Ovarian Cancer Specimens.
冷缺血对卵巢癌标本中 H-MRS 检测代谢谱稳定性的影响。
J Proteome Res. 2024 Jan 5;23(1):483-493. doi: 10.1021/acs.jproteome.3c00665. Epub 2023 Dec 18.
4
N-acetyl-aspartate metabolism at the interface of cancer, immunity, and neurodegeneration.N-乙酰天冬氨酸代谢在癌症、免疫和神经退行性变的交界处。
Curr Opin Biotechnol. 2024 Feb;85:103051. doi: 10.1016/j.copbio.2023.103051. Epub 2023 Dec 15.
5
Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes.完整组织的代谢组学特征反映了具有临床相关性的前列腺癌亚型。
J Transl Med. 2023 Nov 27;21(1):860. doi: 10.1186/s12967-023-04747-7.
6
Disruption of sugar nucleotide clearance is a therapeutic vulnerability of cancer cells.糖核苷酸清除障碍是癌细胞的治疗弱点。
Nature. 2023 Nov;623(7987):625-632. doi: 10.1038/s41586-023-06676-3. Epub 2023 Oct 25.
7
Significance of Tumor-Stroma Ratio (TSR) in Predicting Outcomes of Malignant Tumors.肿瘤间质比(TSR)在预测恶性肿瘤预后中的意义。
Medicina (Kaunas). 2023 Jul 6;59(7):1258. doi: 10.3390/medicina59071258.
8
Understanding Long-Term Survival of Patients with Ovarian Cancer-The Tumor Microenvironment Comes to the Forefront.了解卵巢癌患者的长期生存情况——肿瘤微环境成为研究重点。
Cancer Res. 2023 May 2;83(9):1383-1385. doi: 10.1158/0008-5472.CAN-23-0333.
9
Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence.卵巢癌中代谢途径失调:原因与后果
Metabolites. 2023 Apr 15;13(4):560. doi: 10.3390/metabo13040560.
10
Nucleotide metabolism: a pan-cancer metabolic dependency.核苷酸代谢:一种泛癌代谢依赖性。
Nat Rev Cancer. 2023 May;23(5):275-294. doi: 10.1038/s41568-023-00557-7. Epub 2023 Mar 27.