Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Trastuzumab Deruxtecan Induces Complete Pathological Response in Oligometastatic HER2-Mutant NSCLC: Case Report.

JTO clinical and research reports·2026
Same author

The HLH-Risk-Calculator is a machine learning-based tool to predict course & mortality of secondary hemophagocytic lymphohistiocytosis.

Intensive care medicine·2026
Same author

DUSP1 is a Key Driver of Disease Persistence and Potential Therapeutic Target in Hairy Cell Leukemia.

Blood advances·2026
Same author

Peptidomic Profiling Reveals Extracellular Matrix Remodeling Signatures Discriminative of Multiple Myeloma.

Proteomics·2026
Same author

Periprostatic adipose tissue-derived adipokine profile in prostate cancer patients reveals two distinct molecular phenotypes linked to obesity-related comorbidities: multifaceted role of lipocalin-2.

Cell communication and signaling : CCS·2026
Same author

Urinary Peptidomic Signatures Predict Overall and Progression-Free Survival in Bladder Cancer.

Proteomics·2026

Related Experiment Video

Updated: May 9, 2025

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

16.5K

Prediction of Prostate Cancer Biochemical Recurrence After Radical Prostatectomy by Collagen Models Using Multiomic

Maria Frantzi1, Piotr Tymoszuk2, Stefan Salcher3

  • 1Department of Biomarker Research, Mosaiques Diagnostics GmbH, Hannover, Germany.

European Urology Oncology
|May 1, 2025
PubMed
Summary
This summary is machine-generated.

Collagen molecular signatures in tissue and urine can predict prostate cancer recurrence after surgery. These biomarkers show strong prognostic value, improving predictions beyond standard clinical factors.

Keywords:
Collagen metabolismMachine learningPostprostatectomy biochemical recurrencePredictive biomarkerProstate cancer

More Related Videos

Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
07:34

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

Published on: November 17, 2023

584
A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
07:25

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer

Published on: March 6, 2018

12.9K

Related Experiment Videos

Last Updated: May 9, 2025

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

16.5K
Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
07:34

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

Published on: November 17, 2023

584
A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
07:25

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer

Published on: March 6, 2018

12.9K

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Prostate cancer progression is influenced by the tumor microenvironment.
  • Collagen's role in cancer is significant, but its prognostic utility needs further exploration.

Purpose of the Study:

  • To investigate the prognostic value of collagen-related molecular signatures.
  • To predict biochemical recurrence (BCR) after radical prostatectomy (RP).

Main Methods:

  • Transcriptomic and proteomic analyses of 55 collagen-related features.
  • Validation using a urine-based peptidomic analysis.
  • Prognostic significance assessed by Cox proportional hazards modeling.

Main Results:

  • 11 collagen transcripts significantly associated with BCR (C-index: 0.55-0.72).
  • Tissue collagen models improved prognostic accuracy over clinical variables (C-index: 0.66-0.89).
  • A urine-based collagen model showed strong prognostic potential (C-index: 0.73).

Conclusions:

  • Collagen signatures in tissue and urine are robust prognostic biomarkers for BCR post-RP.
  • These findings support the clinical utility of collagen-based molecular signatures.