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Related Experiment Video

Updated: May 25, 2026

Predictive Immune Modeling of Solid Tumors
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Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Predictive pathology in routine diagnostics of solid tumors.

Silke Lassmann1, Martin Werner

  • 1Institute of Pathology, University Medical Center, Albert-Ludwigs University, Freiburg, Germany. silke.lassmann@uniklinik-freiburg.de

Histology and Histopathology
|January 13, 2012
PubMed
Summary
This summary is machine-generated.

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Pathologists now integrate molecular analyses with tissue examination for cancer classification. This advances diagnostic pathology, providing prognostic and predictive insights for targeted therapies.

Area of Science:

  • Oncology
  • Pathology
  • Molecular Biology

Background:

  • Traditional cancer classification relies on macroscopic and microscopic analysis of human tissue specimens by pathologists.
  • Recent advances reveal molecular alterations driving cancer pathogenesis.
  • Novel molecular analyses are being integrated into histomorphological workflows.

Purpose of the Study:

  • To review recent developments in molecular pathology techniques.
  • To discuss current tools and applications of predictive pathology.
  • To highlight the role of molecular pathology in guiding targeted therapies for solid cancers.

Main Methods:

  • Literature review focusing on molecular pathology advancements.
  • Analysis of current diagnostic tools and predictive assays.

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

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Last Updated: May 25, 2026

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Published on: February 25, 2020

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Standardized SDS-PAGE Workflow for Personalized Protein Corona Profiling in Early Cancer Detection

Published on: December 19, 2025

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

  • Examination of targeted therapy applications in solid tumors.

    • Main Results:

    • Molecular pathology has expanded diagnostic capabilities beyond description to clinical advisory roles.
    • Integration of molecular data provides prognostic and predictive information.
    • Predictive pathology is crucial for the efficacy of targeted cancer therapies.

    Conclusions:

    • Molecular pathology is revolutionizing cancer diagnosis and classification.
    • Predictive molecular pathology is essential for personalized medicine and targeted cancer treatments.
    • The review emphasizes the evolving role of pathologists in guiding cancer care through molecular insights.