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  1. Home
  2. Genomic Landscape Defines Peritoneal Metastatic Pattern And Related Target Of Peritoneal Metastasis In Colorectal Cancer.
  1. Home
  2. Genomic Landscape Defines Peritoneal Metastatic Pattern And Related Target Of Peritoneal Metastasis In Colorectal Cancer.

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Genomic landscape defines peritoneal metastatic pattern and related target of peritoneal metastasis in colorectal

Minhui Hu1, Rui Luo2, Keli Yang2

  • 1Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

International Journal of Cancer
|May 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a colorectal cancer peritoneal metastasis prediction model using genomic and clinicopathological data. SERINC1 was identified as a potential therapeutic target to suppress cancer spread.

Keywords:
SERINC1colorectal cancer peritoneal metastasisgenomic landscapegenomic signature

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Peritoneal metastasis (PM) is a significant challenge in colorectal cancer (CRC) treatment.
  • Understanding the genomic drivers of PM is crucial for developing targeted therapies.

Purpose of the Study:

  • To develop a predictive model for PM in CRC by integrating genomic and clinicopathological features.
  • To identify novel therapeutic targets for PM through bioinformatics and experimental validation.

Main Methods:

  • Analysis of genomic and clinicopathological data from 363 CRC patients.
  • Development of a PM prediction model using LASSO regression.
  • Bioinformatic analysis and experimental validation of potential therapeutic targets.

Main Results:

  • An integrated prediction model incorporating clinicopathological and genomic variables demonstrated high accuracy (AUC 0.899) for PM prediction.
  • A peritoneal metastasis-related genomic signature (PGS) showed prognostic stratification capability.
  • SERINC1 was identified as a key gene in PM, and its knockdown suppressed peritoneal dissemination.

Conclusions:

  • The genomic landscape of primary CRC influences its metastatic pattern.
  • SERINC1 is a potential therapeutic target for inhibiting colorectal cancer peritoneal metastasis.