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Related Concept Videos

Tumor Progression02:07

Tumor Progression

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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.
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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Tumor Subtype Defines Distinct Pathways Of Molecular And Clinical Progression In Primary Prostate Cancer.
  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Tumor Subtype Defines Distinct Pathways Of Molecular And Clinical Progression In Primary Prostate Cancer.

Related Experiment Video

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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Tumor subtype defines distinct pathways of molecular and clinical progression in primary prostate cancer.

Deli Liu1,2,3,4, Michael A Augello1,2, Ivana Grbesa1,2

  • 1Sandra and Edward Meyer Cancer Center and.

The Journal of Clinical Investigation
|May 17, 2021

View abstract on PubMed

Summary
This summary is machine-generated.

Prostate cancer progression varies by genomic subtype, with specific late-stage alterations like PTEN or CHD1 deletions impacting outcomes differently. Understanding these distinct molecular pathways is crucial for accurate clinical interpretation and management.

Keywords:
BioinformaticsGeneticsMolecular diagnosisOncology

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

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Prostate cancer (PCa) molecular subtypes arise from early genomic alterations.
  • The influence of these early changes on later molecular events and disease course is not fully understood.

Purpose of the Study:

  • To investigate the molecular and clinical progression of distinct prostate cancer genomic subtypes.
  • To define early and late molecular subclassifications and their impact on disease trajectory.

Main Methods:

  • Utilized human genomic and transcriptomic data to develop tumor lineage models.
  • Defined "early" and "late" molecular subclasses in 8,158 PCa patients using transcriptional classifiers.
  • Correlated molecular subclasses with clinical outcomes and pathologic characteristics via Kaplan-Meier and logistic regression.
Prostate cancer

Main Results:

  • Identified PTEN alterations in ERG-overexpressing (ERG+) and CHD1 alterations in SPOP-mutant tumors as subtype-specific late events.
  • Defined two distinct progression models: ERG/PTEN and SPOP/CHD1, sharing early tumorigenesis but diverging in progression pathways.
  • Found late events in ERG+ and SPOP-mutant subtypes associated with worse prognosis.
  • Observed distinct clinical features: PTEN deletions linked to higher locoregional stage, CHD1 deletions to increased grade, with similar metastatic potential.

Conclusions:

  • Prostate cancer subtypes exhibit distinct molecular and clinical progression pathways.
  • Tumor lineage influences the interpretation of clinical parameters like locoregional stage.
  • These findings may impact prostate cancer management decisions.