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Updated: Mar 26, 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

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Signaling lansdscape of prostate cancer

X Lin1, A Aslam2, R Attar3

  • 1Sichuan Medical University Department of Pharmacy Luzhou China.

Cellular and Molecular Biology (Noisy-Le-Grand, France)
|February 2, 2016
PubMed

Insights

Prostate cancer's complexity, driven by intratumor heterogeneity and multifocality, poses treatment challenges. This review details recent advancements in understanding signaling pathways crucial for prostate cancer progression.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Intratumor heterogeneity and multifocality complicate prostate cancer targeting.
  • Developing effective risk-stratification tools is hindered by challenges in correlating genomic data with clinical outcomes.
  • Androgen receptor (AR) signaling plays a critical role in prostate cancer, with its rewiring and structural variants offering insights into disease mechanisms.

Purpose of the Study:

  • To provide an overview of recent advancements in understanding prostate cancer signaling pathways.
  • To highlight the role of various signaling cascades in prostate cancer development and progression.

Main Methods:

  • Literature review of recent research on prostate cancer signaling.
  • Analysis of studies focusing on intratumor heterogeneity, genomic landscape, and AR signaling.
  • Examination of signaling pathways including TGF, SHH, Notch, and JAK-STAT.

Main Results:

  • Androgen receptor (AR) mediated signaling and its rewiring are central to prostate cancer.
  • Structural variants of AR have significantly improved the understanding of the prostate cancer genomic landscape.
  • Multiple signaling cascades, including TGF, SHH, Notch, and JAK-STAT, are implicated in prostate cancer progression.

Conclusions:

  • Understanding the complex signaling networks is crucial for developing targeted therapies for prostate cancer.
  • Recent advancements in genomic analysis and signaling pathway research offer new avenues for therapeutic strategies.
  • Further research into these pathways can lead to improved risk stratification and clinical efficacy.

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