PANDORA-Seq Unveils the Hidden Small Non-Coding RNA Landscape in Hypopharyngeal Carcinoma

Hypopharyngeal carcinoma is a highly aggressive malignancy in the head and neck region with poor prognosis due to challenges in early diagnosis, high invasiveness, recurrence rate, and metastatic potential. Small non-coding RNAs (sncRNAs) play crucial roles in tumorigenesis and progression and hold potential as clinical diagnostic biomarkers and therapeutic targets. However, the ability of traditional RNA-sequencing technologies to detect modified sncRNAs is limited, potentially leading to the failure to accurately identify some functionally relevant sncRNAs. In this study, we employed PANDORA-seq technology for the first time to systematically profile sncRNA expression in cancerous and adjacent normal tissues from five patients with hypopharyngeal carcinoma. Our results revealed dynamic changes in sncRNA expression in hypopharyngeal carcinoma tissues and found 4798 significantly differentially expressed sncRNAs. Among these, differentially expressed miRNAs and tsRNAs were primarily involved in key signaling pathways, including MAPK, FoxO, and TGF-β. Additionally, we validated the differential expression of eight sncRNAs in hypopharyngeal carcinoma tissues, which may represent potential diagnostic biomarkers and therapeutic targets. This study lays the foundation for the application of PANDORA-seq technology in human cancers and offers new directions for exploring the underlying molecular mechanisms of hypopharyngeal carcinoma and potential targets for its clinical diagnosis and treatment.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-06-21
DOI
https://doi.org/10.3390/ijms26135972
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
2.81

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article

PANDORA-Seq Unveils the Hidden Small Non-Coding RNA Landscape in Hypopharyngeal Carcinoma

Youquan Bu, Chuntao Tao, L. Y. Shi, Minya Pu et al.
3 citations
International Journal of Molecular Sciences
Cancer-related molecular mechanisms research
2.81
article

PANDORA-Seq Unveils the Hidden Small Non-Coding RNA Landscape in Hypopharyngeal Carcinoma

Youquan Bu, Chuntao Tao, L. Y. Shi, Minya Pu, Ying Zhang, Junhong Ye, Haiyu Ma
article en
3 citations

Abstract

Hypopharyngeal carcinoma is a highly aggressive malignancy in the head and neck region with poor prognosis due to challenges in early diagnosis, high invasiveness, recurrence rate, and metastatic potential. Small non-coding RNAs (sncRNAs) play crucial roles in tumorigenesis and progression and hold potential as clinical diagnostic biomarkers and therapeutic targets. However, the ability of traditional RNA-sequencing technologies to detect modified sncRNAs is limited, potentially leading to the failure to accurately identify some functionally relevant sncRNAs. In this study, we employed PANDORA-seq technology for the first time to systematically profile sncRNA expression in cancerous and adjacent normal tissues from five patients with hypopharyngeal carcinoma. Our results revealed dynamic changes in sncRNA expression in hypopharyngeal carcinoma tissues and found 4798 significantly differentially expressed sncRNAs. Among these, differentially expressed miRNAs and tsRNAs were primarily involved in key signaling pathways, including MAPK, FoxO, and TGF-β. Additionally, we validated the differential expression of eight sncRNAs in hypopharyngeal carcinoma tissues, which may represent potential diagnostic biomarkers and therapeutic targets. This study lays the foundation for the application of PANDORA-seq technology in human cancers and offers new directions for exploring the underlying molecular mechanisms of hypopharyngeal carcinoma and potential targets for its clinical diagnosis and treatment.

International Journal of Molecular SciencesVol. 26(13)
Chongqing Medical University (CN)
Chengdu Medical College, National Natural Science Foundation of China, Chongqing Medical University
Good health and well-being
Openalex Percentile: Top 9%
Cancer-related molecular mechanisms research
2.81
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