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Related Concept Videos

The Tumor Microenvironment02:17

The Tumor Microenvironment

6.6K
Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
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mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
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  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Evidence Of The Link Between Stroma Remodeling And Prostate Cancer Prognosis.
  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Evidence Of The Link Between Stroma Remodeling And Prostate Cancer Prognosis.

Related Experiment Video

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
07:42

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis

Published on: November 26, 2015

13.4K

Evidence of the Link between Stroma Remodeling and Prostate Cancer Prognosis.

Davide Vecchiotti1, Letizia Clementi1, Emanuele Cornacchia1

  • 1Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy.

Cancers
|September 28, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Identifying new prostate cancer (PCa) biomarkers in the tumor microenvironment is crucial. These markers can help predict prognosis and prevent overtreatment of indolent cancers.

Keywords:
cancer-associated fibroblastsenergy metabolismextracellular matrixinflammation

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

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Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
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Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking

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Related Experiment Videos

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
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Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis

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

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Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
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Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking

Published on: November 17, 2023

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Area of Science:

  • Oncology
  • Cancer Biology
  • Biomarker Discovery

Background:

  • Prostate cancer (PCa) is a leading cancer diagnosis in men globally, posing challenges for accurate prognosis.
  • Current PCa management faces drawbacks, fueling research for molecular biomarkers to prevent overtreatment of indolent tumors.
  • Understanding cancer pathogenesis now includes examining the tumor microenvironment, not just cancer cells.

Purpose of the Study:

  • To provide an updated overview of prognosis-oriented microenvironment biomarkers in prostate cancer.
  • To highlight key markers from reactive processes like tissue adaptation, inflammation, and metabolic reprogramming in PCa pathogenesis.
  • To identify biomarkers for improved clinical management and reduced overtreatment in PCa patients.

Main Methods:

myofibroblasts
reactive stroma
  • Review and synthesis of current literature on PCa tumor microenvironment biomarkers.
  • Focus on markers derived from stromal cell differentiation, cancer-normal cell crosstalk, angiogenesis, ECM remodeling, and energy metabolism.
  • Analysis of biologically significant and highly cited prognostic markers.
  • Main Results:

    • The tumor microenvironment of PCa offers promising prognostic biomarkers.
    • Key reactive processes in PCa pathogenesis yield significant markers related to stroma, inflammation, and metabolism.
    • Identified biomarkers target stromal cell differentiation, cell communication, blood vessel formation, tissue structure, and cellular energy.

    Conclusions:

    • The tumor microenvironment is a critical source for novel prostate cancer prognostic biomarkers.
    • These biomarkers can aid in distinguishing aggressive PCa from indolent forms, guiding treatment decisions.
    • Further research into these microenvironment markers holds potential for refining PCa management and avoiding overtreatment.