Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Translating Gene Signatures Into a Pathologic Feature: Tumor Necrosis Predicts Disease Relapse in Operable and Stage I Lung Adenocarcinoma

Emily Lin, Tzu-Hung Hsiao, Jo-yang Lu, Siao-Han Wong, Tzu‐Pin Lu, Konan Peck, Takashi Takahashi, Pan‐Chyr Yang

JCO Precision Oncology · 2018

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Summary

This study demonstrates that three interdependent gene signatures—reflecting cell cycle, hypoxia, and mTOR pathway activity—translate into a measurable pathologic feature (tumour necrosis) in lung adenocarcinoma and provide independent risk stratification for disease relapse and survival in operable and stage I patients. The findings suggest that molecular pathway signatures can be operationalised as prognostic biomarkers by mapping to histopathologic features, potentially improving clinical risk assessment beyond conventional staging.

UK applicability

The findings may inform UK clinical practice in lung cancer prognostication and patient stratification for adjuvant therapy consideration, though applicability would depend on integration with National Health Service diagnostic pathways and validation in UK patient populations.

Key measures

Gene signature scores (cell cycle, hypoxia, mTOR pathways); tumour necrosis presence/absence; overall survival; relapse-free survival; protein expression levels from The Cancer Genome Atlas and Cancer Protein Atlas datasets

Outcomes reported

The study investigated whether three gene signatures (cell cycle, hypoxia, and mTOR) translate into the pathologic feature of tumour necrosis and predict disease relapse and survival outcomes in patients with stage I lung adenocarcinoma. Gene signature activities and their correlation with tumour necrosis presence were measured across multiple patient cohorts using genomic and proteomic data.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort with multi-cohort validation
Source type
Peer-reviewed study
Status
Published
System type
Human clinical
DOI
10.1200/po.18.00043
Catalogue ID
BFmohg5end-g1ssz0

Topic tags

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