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Related Concept Videos

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Related Experiment Video

Updated: Mar 25, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma
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A network-based method for identifying prognostic gene modules in lung squamous carcinoma.

Lin Feng1, Run Tong2, Xiaohong Liu3

  • 1State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College and Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, China.

Oncotarget
|February 27, 2016
PubMed
Summary

Researchers identified a 22-gene module linked to survival in lung squamous carcinoma. This finding could lead to new biomarkers and therapies by analyzing gene expression similarities between embryonic, precancerous, and cancerous lung tissues.

Keywords:
greedy searchinglung squamous carcinomamulti-stage carcinogenesisnetwork-basedprognostic module

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Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Gene expression patterns in developing embryonic and precancerous tissues mirror those in cancerous tissues.
  • Identifying these similarities is crucial for discovering novel biomarkers and therapeutic targets in lung squamous carcinoma.

Purpose of the Study:

  • To identify differentially expressed genes with similar expression patterns in precancerous and cancerous lung tissues.
  • To discover a gene expression signature correlated with patient survival in lung squamous carcinoma.

Main Methods:

  • Global gene expression profiling of human lung samples across ten developmental and carcinogenesis time points.
  • Application of a network-based greedy searching algorithm on training and independent testing cohorts.
  • Identification and validation of a significant 22-gene module associated with overall survival.

Main Results:

  • A significant 22-gene module was identified through network analysis.
  • The expression levels of this 22-gene module were significantly correlated with overall survival in lung squamous carcinoma patients.
  • The findings were validated across multiple independent cohorts.

Conclusions:

  • A specific 22-gene module holds potential as a prognostic biomarker for lung squamous carcinoma.
  • Understanding shared gene expression profiles between embryonic, precancerous, and cancerous tissues offers new avenues for therapeutic target identification.
  • This research provides a foundation for developing targeted therapies and improving patient outcomes in lung squamous carcinoma.