Integrative bioinformatics and molecular analysis revealed the roles of mTOR/S6K Axis, CASC15, and miR-30a-3p in laryngeal squamous cell carcinoma

Dysregulation of signaling pathways contributes substantially to the initiation and progression of laryngeal squamous cell carcinoma (LSCC). This study aimed to elucidate the mTOR and S6 kinase (S6K) gene expression levels, clinical significance, interplay of the mTOR/ S6K axis, miR-30a-3p, and the long non-coding RNA CASC15 in LSCC using bioinformatics tools. RNA-seq datasets (TCGA and GEO) were analyzed through bioinformatics and network-based tools to identify candidate pathways, miRNAs, and lncRNAs using R and Cytoscape. mTOR, S6K, miR-30a-3p, and CASC15 gene expression levels and mTOR and S6K protein values were measured in paired tumor (n = 54) and adjacent normal tissues (n = 54) using RT-qPCR and western blotting, respectively. Network analysis predicted that the mTOR/S6K regulatory axis is associated with miR-30a-3p and CASC15. The mTOR (p < 0.01), S6K (p < 0.0001), and CASC15 (p = 0.021) gene expression levels were significantly upregulated, whereas miR-30a-3p was markedly downregulated (p < 0.0001). miR-30a-3p expression levels showed inversely correlated to mTOR (p = 0.05) and S6K (p = 0.01), while CASC15 correlated positively to both mTOR (p = 0.00) and S6K (p = 0.00). The mTOR/S6K signaling axis is markedly activated in LSCC. CASC15 may act as an oncogenic lncRNA, whereas miR-30a-3p may function as a tumor-suppressive miRNA, suggesting their potential as molecular targets in LSCC.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-10
DOI
https://doi.org/10.1038/s41598-026-39618-w
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative bioinformatics and molecular analysis revealed the roles of mTOR/S6K Axis, CASC15, and miR-30a-3p in laryngeal squamous cell carcinoma

Payam Mohammadi, Mohammad Elahimanesh, Masoomeh Bakhshandeh, Najmeh Parvaz et al.
Scientific Reports
Cancer-related molecular mechanisms research
article

Integrative bioinformatics and molecular analysis revealed the roles of mTOR/S6K Axis, CASC15, and miR-30a-3p in laryngeal squamous cell carcinoma

Payam Mohammadi, Mohammad Elahimanesh, Masoomeh Bakhshandeh, Najmeh Parvaz, Mohammad Shabani, Maryam Lotfi, Mohammad Najafi, Mohammad Reza Hajizadeh
article en

Abstract

Dysregulation of signaling pathways contributes substantially to the initiation and progression of laryngeal squamous cell carcinoma (LSCC). This study aimed to elucidate the mTOR and S6 kinase (S6K) gene expression levels, clinical significance, interplay of the mTOR/ S6K axis, miR-30a-3p, and the long non-coding RNA CASC15 in LSCC using bioinformatics tools. RNA-seq datasets (TCGA and GEO) were analyzed through bioinformatics and network-based tools to identify candidate pathways, miRNAs, and lncRNAs using R and Cytoscape. mTOR, S6K, miR-30a-3p, and CASC15 gene expression levels and mTOR and S6K protein values were measured in paired tumor (n = 54) and adjacent normal tissues (n = 54) using RT-qPCR and western blotting, respectively. Network analysis predicted that the mTOR/S6K regulatory axis is associated with miR-30a-3p and CASC15. The mTOR (p < 0.01), S6K (p < 0.0001), and CASC15 (p = 0.021) gene expression levels were significantly upregulated, whereas miR-30a-3p was markedly downregulated (p < 0.0001). miR-30a-3p expression levels showed inversely correlated to mTOR (p = 0.05) and S6K (p = 0.01), while CASC15 correlated positively to both mTOR (p = 0.00) and S6K (p = 0.00). The mTOR/S6K signaling axis is markedly activated in LSCC. CASC15 may act as an oncogenic lncRNA, whereas miR-30a-3p may function as a tumor-suppressive miRNA, suggesting their potential as molecular targets in LSCC.

Scientific ReportsVol. 16(1)
Iran University of Medical Sciences (IR), Tehran University of Medical Sciences (IR), Rafsanjan University of Medical Sciences (IR)
Iran University of Medical Sciences
Openalex Percentile: Top 63%
Cancer-related molecular mechanisms research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.