Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Meta-genome analysis of a newly enriched azo dyes detoxification halo-thermophilic bacterial consortium.

Environmental research·2023
Same author

A tumor microenvironment-activatable nanoplatform with phycocyanin-assisted in-situ nanoagent generation for synergistic treatment of colorectal cancer.

Biomaterials·2023
Same author

Longitudinal changes in choline concentration and associated factors in human breast milk.

Clinical nutrition (Edinburgh, Scotland)·2023
Same author

S373P Mutation Stabilizes the Receptor-Binding Domain of the Spike Protein in Omicron and Promotes Binding.

JACS Au·2023
Same author

The Preventive Effect of Gentamicin in the Irrigating Solution on Endophthalmitis Caused by Methicillin-Resistant <i>Staphylococcus epidermidis</i> After Phacoemulsification with Intraocular Lens Implantation in Rabbits.

Ocular immunology and inflammation·2023
Same author

Cooperation, hotspots and prospects for tourism environmental impact assessments.

Heliyon·2023

相关实验视频

Updated: Jul 11, 2025

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
09:32

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Published on: February 8, 2018

14.7K

在CD10表达和phyllodes瘤之间的关联:一个回顾性病例控制研究研究.

Fang Tian1, Jie Zhao1, Qing-Fang Shi1

  • 1Pathology Department, Gansu Provincial Maternity and Child-care Hospital, Lan Zhou, China.

Medicine
|November 7, 2023
PubMed
概括

这项研究发现,CD10表达,以及组织学特征,可以帮助区分瘤 (PT) 和纤维腺瘤 (FA). CD10可以作为一个有价值的标志物来区分这些乳腺病变.

更多相关视频

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment &#8212; Challenges and Innovations in Cancer Prognosis
07:32

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

1.3K
Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
06:05

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

7.6K

相关实验视频

Last Updated: Jul 11, 2025

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
09:32

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Published on: February 8, 2018

14.7K
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment &#8212; Challenges and Innovations in Cancer Prognosis
07:32

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

1.3K
Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
06:05

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

7.6K

科学领域:

  • 在瘤学瘤学.
  • 病理学 病理学 病理学
  • 生物标志物 生物标志物

背景情况:

  • 乳腺瘤 (PT) 和纤维腺瘤 (FA) 是常见的乳腺瘤,具有重叠的组织学特征.
  • 准确的区分对于适当的患者管理和治疗至关重要.
  • 免疫组织化学标志物可能有助于区分PT和FA.

研究的目的:

  • 调查免疫组织化学标志物与植物瘤 (PT) 之间的关联.
  • 分析不同等级PT和FA之间的标记物表达的差异.
  • 为了确定区分PT和FA的潜在标记.

主要方法:

  • 从2014年10月到2021年5月,对69名患者 (34名PT,35名FA) 进行了回顾性病例控制研究.
  • 对CD10,CD117,CD34,P53和Ki-67的组织病理特征和表达的分析.
  • 多变量分析以确定与PT的独立关联.

主要成果:

  • 在PT中恶性瘤的增加与定义不清的边界,异质肌层和肌层细胞性/过度生长的增加相关 (P < .05).
  • CD10表达独立地与PT相关 (OR = 0.67,P < .05).
  • 组织学特征和CD10表达在PT和FA等级之间存在显著差异.

结论:

  • 组织学特征对于区分PT和FA很重要.
  • CD10表达独立地与PT相关.
  • CD10显示出作为phyllodes瘤的分化标记物的潜力.