Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

miRNAs in lung cancer. A systematic review identifies predictive and prognostic miRNA candidates for precision medicine in lung cancer

Shen Zhong, Heiko Golpon, Patrick Zardo, Jürgen Borlak

Translational research · 2020

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Summary

This systematic review synthesises peer-reviewed evidence on microRNA biomarkers in lung cancer, identifying candidate miRNAs with demonstrated or proposed prognostic and predictive value for precision medicine. The authors evaluated miRNA expression signatures to assess their utility in stratifying patient risk and informing personalised treatment strategies. Whilst the work contributes significantly to molecular oncology literature, its direct applicability to farming systems, soil health, and food-based nutrition is limited; relevance to the Vitagri Pulse catalogue would be indirect, through potential connections to diet-related cancer prevention or nutrient-gene interactions in oncology.

UK applicability

The findings on miRNA biomarkers for lung cancer have potential application in UK clinical oncology and precision medicine programmes, particularly through the NHS's genomic medicine service. However, the work does not address agricultural, soil, or food system factors and thus has no direct bearing on UK farming policy or food production systems.

Key measures

MicroRNA expression signatures; prognostic and predictive value of miRNA candidates; patient risk stratification; treatment prediction utility

Outcomes reported

The systematic review identified microRNA expression signatures with prognostic and predictive utility in lung cancer patient stratification. The study synthesised evidence on miRNA biomarkers and their potential application in personalised treatment decision-making.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Systematic Review
Study design
Systematic review
Source type
Peer-reviewed study
Status
Published
System type
Laboratory / in vitro
DOI
10.1016/j.trsl.2020.11.012
Catalogue ID
SNmoi53j2u-0mi667

Topic tags

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