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

Tumor Progression02:07

Tumor Progression

7.8K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.8K

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

A Multimodal Artificial Intelligence Model to Guide Use of Whole-Pelvic Radiation Therapy in Patients with Localized Prostate Cancer: Exploratory Analysis of RTOG 9413.

Cancers·2026
Same author

Association Between Cribriform Architecture and Tertiary Gleason Pattern 5 in Prostate Cancer: A Cross-Sectional Study of Radical Prostatectomy Specimens.

Journal of clinical medicine·2026
Same author

Association Between Cribriform Architecture and Lymphovascular Invasion in Prostate Cancer.

Journal of clinical medicine·2026
Same author

Prophylactic Cranial Irradiation in Small Cell Lung Cancer: Evolution of Evidence, Current Status, and Future Directions.

Current issues in molecular biology·2026
Same author

Dosimetric evaluation of surface-guided tattoo-free approach for right sided whole-breast irradiation.

Journal of applied clinical medical physics·2025
Same author

Transcriptomic Profile of Perineural Invasion in Prostate Cancer Identifies Prognostic Gene Signatures.

Biomedicines·2025

相关实验视频

Updated: Mar 15, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

17.3K

在前列腺癌中,淋巴血管入侵的干扰素-响应的转录学签名.

Cagdas Aktan1, Christina M Breneman2, Okan Argun2

  • 1Department of Medical Biology, Faculty of Medicine, Bandirma Onyedi Eylul University, Balikesir 10250, Türkiye.

International journal of molecular sciences
|March 14, 2026
PubMed
概括

前列腺癌中的淋巴血管侵入 (LVI) 与干扰素信号通路有关. 这一发现为LVI提供了新的预后洞察力和潜在的治疗点,独立于瘤等级和阶段.

关键词:
淋巴血管侵入 淋巴血管侵入前列腺癌是前列腺癌.文字转录 文字转录 文字转录

更多相关视频

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — 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

2.1K

相关实验视频

Last Updated: Mar 15, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

17.3K
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — 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

2.1K

科学领域:

  • 在瘤学瘤学.
  • 分子生物学分子生物学
  • 基因组学就是基因组学.

背景情况:

  • 淋巴血管入侵 (LVI) 是前列腺癌的不良预后指标.
  • 由于瘤等级和阶段等混因素,其分子驱动因素的了解很少.

研究的目的:

  • 为了确定前列腺癌中LVI的分子驱动因素.
  • 调查LVI相关基因表达特征的预后意义.
  • 探索已识别的基因的调节机制.

主要方法:

  • 对403个TCGA-PRAD样本进行了混调整的转录基因分析.
  • 对格里森得分和病态T阶段进行调整的差异基因表达分析.
  • 生物化学无复发生存的多变量后勤和考克斯比例危险模型.
  • 多omics集成 (甲基化和表达数据).

主要成果:

  • 在多变量调整后,有129个基因独立与LVI相关.
  • 这一基因组为干扰素α/β信号传递和抗病毒反应途径进行了丰富.
  • 这种特征的综合评分预测了生物化学复发风险的降低 (aHR=0.911,p=0.033).
  • 对关键的干扰素基因观察到微妙促进物低甲基化和甲基化表达相关性.

结论:

  • 一个强大的干扰素反应转录特征独立地定义了前列腺癌中的LVI.
  • 这种签名提供了超越标准临床病理因素的预后信息.
  • 这些发现完善了对LVI的生物学理解,并提出了新的治疗点.