Identification of oncofetal PIWI-interacting RNAs as potential prognostic biomarkers in non-small cell lung cancer

Lung cancer is the leading cause of cancer-related deaths worldwide, with non-small cell lung cancer (NSCLC) accounting for the majority of these cases. Despite advancements in targeted therapies, early detection remains a significant challenge, highlighting the need for novel biomarkers. This study investigates the role of PIWI-interacting RNAs (piRNAs) in lung cancer, specifically focusing on their potential as oncofetal biomarkers in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), the two most common histological subtypes of NSCLC. We hypothesize that piRNAs exhibit oncofetal expression patterns and may contribute to lung cancer development. Through bioinformatics analysis, we identified distinct piRNA profiles in non-neoplastic, malignant, and fetal lung tissues. Among these, 37 piRNAs in LUAD and 46 piRNAs in LUSC displayed oncofetal expression, meaning they were present in tumor tissues but absent in adjacent normal lung tissue. These oncofetal piRNAs showed significant prognostic value in both LUAD and LUSC cohorts, with a specific signature of eight oncofetal piRNAs predicting high-risk patients in LUAD. We validated the robustness of this signature in a separate in-house cohort, which underscores its potential as a prognostic biomarker. Our findings suggest that oncofetal piRNAs could offer new diagnostic and therapeutic opportunities, particularly for early detection.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-08-29
DOI
https://doi.org/10.3389/fgene.2025.1611805
Citations
1
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.81

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article

Identification of oncofetal PIWI-interacting RNAs as potential prognostic biomarkers in non-small cell lung cancer

Vanessa G. P. Souza, Wan L. Lam, Greg L. Stewart, Michelle E. Pewarchuk et al.
1 citations
Frontiers in Genetics
RNA and protein synthesis mechanisms
0.81
article

Identification of oncofetal PIWI-interacting RNAs as potential prognostic biomarkers in non-small cell lung cancer

Vanessa G. P. Souza, Wan L. Lam, Greg L. Stewart, Michelle E. Pewarchuk, David E. Cohn, Nikita Telkar, Patrícia P. Reis, Victor D. Martínez, Katya Benard, Wendy P. Robinson
article en
1 citations

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide, with non-small cell lung cancer (NSCLC) accounting for the majority of these cases. Despite advancements in targeted therapies, early detection remains a significant challenge, highlighting the need for novel biomarkers. This study investigates the role of PIWI-interacting RNAs (piRNAs) in lung cancer, specifically focusing on their potential as oncofetal biomarkers in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), the two most common histological subtypes of NSCLC. We hypothesize that piRNAs exhibit oncofetal expression patterns and may contribute to lung cancer development. Through bioinformatics analysis, we identified distinct piRNA profiles in non-neoplastic, malignant, and fetal lung tissues. Among these, 37 piRNAs in LUAD and 46 piRNAs in LUSC displayed oncofetal expression, meaning they were present in tumor tissues but absent in adjacent normal lung tissue. These oncofetal piRNAs showed significant prognostic value in both LUAD and LUSC cohorts, with a specific signature of eight oncofetal piRNAs predicting high-risk patients in LUAD. We validated the robustness of this signature in a separate in-house cohort, which underscores its potential as a prognostic biomarker. Our findings suggest that oncofetal piRNAs could offer new diagnostic and therapeutic opportunities, particularly for early detection.

Frontiers in GeneticsVol. 16
Dalhousie University (CA), University of British Columbia (CA), Izaak Walton Killam Health Centre (CA), BC Children's Hospital (CA), Universidade Estadual Paulista (Unesp) (BR)
Lotte and John Hecht Memorial Foundation, Terry Fox Foundation, BC Cancer Foundation, Canadian Institutes of Health Research
Openalex Percentile: Top 24%
RNA and protein synthesis mechanisms
0.81
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