Expression of Keratin-1 Predicts Recurrence and Treatment Response in Advanced Laryngeal Cancer: A Potential Therapeutic Target

The survival rate of patients with advanced laryngeal cancer has not substantially improved over time. RNA sequencing analysis identified Keratin-1 (KRT1) as a gene potentially associated with cancer recurrence. This study investigated the association between KRT1 expression and recurrence in advanced laryngeal cancer. RNA sequencing was performed to identify candidate genes associated with recurrence. The effects of KRT1 expression on clinical outcomes were evaluated in patients with laryngeal cancer. Multiple experimental techniques were utilized. RNA sequencing of patient samples demonstrated higher KRT1 gene expression in the recurrence group than in non-recurrent cases. Patients with KRT1-positive immunostaining exhibited trends of worse overall survival (OS) and recurrence-free survival (RFS). In vitro studies showed that KRT1 knockdown suppressed tumor cell invasion, cell migration, and expression of epithelial-mesenchymal transition (EMT)-related genes in human head and neck squamous cell carcinoma (HNSCC) cell lines. KRT1 knockdown enhanced tumor cell apoptosis and exhibited synergistic effects with conventional radiation and chemotherapy treatments. KRT1 may serve as a biomarker for predicting advanced laryngeal cancer recurrence and assist with selecting patients to receive concurrent chemoradiotherapy (CCRT). Further molecular investigations are warranted to determine its effects, but KRT1 has potential as a therapeutic target.

Authors

Institutions

Publication Details

Journal
Current Oncology
Published
2025-09-17
DOI
https://doi.org/10.3390/curroncol32090520
Primary Topic
Skin and Cellular Biology Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Expression of Keratin-1 Predicts Recurrence and Treatment Response in Advanced Laryngeal Cancer: A Potential Therapeutic Target

Ji Young Lee, Hye-Bin Jang, Joo-Yeon Koo, S M Abdus Salam et al.
Current Oncology
Skin and Cellular Biology Research
article

Expression of Keratin-1 Predicts Recurrence and Treatment Response in Advanced Laryngeal Cancer: A Potential Therapeutic Target

Ji Young Lee, Hye-Bin Jang, Joo-Yeon Koo, S M Abdus Salam, Sun‐Ae Kim, Eun Kyung Jung, Eshrat Jahan, Kyung‐Hwa Lee, Tae Mi Yoon
article en

Abstract

The survival rate of patients with advanced laryngeal cancer has not substantially improved over time. RNA sequencing analysis identified Keratin-1 (KRT1) as a gene potentially associated with cancer recurrence. This study investigated the association between KRT1 expression and recurrence in advanced laryngeal cancer. RNA sequencing was performed to identify candidate genes associated with recurrence. The effects of KRT1 expression on clinical outcomes were evaluated in patients with laryngeal cancer. Multiple experimental techniques were utilized. RNA sequencing of patient samples demonstrated higher KRT1 gene expression in the recurrence group than in non-recurrent cases. Patients with KRT1-positive immunostaining exhibited trends of worse overall survival (OS) and recurrence-free survival (RFS). In vitro studies showed that KRT1 knockdown suppressed tumor cell invasion, cell migration, and expression of epithelial-mesenchymal transition (EMT)-related genes in human head and neck squamous cell carcinoma (HNSCC) cell lines. KRT1 knockdown enhanced tumor cell apoptosis and exhibited synergistic effects with conventional radiation and chemotherapy treatments. KRT1 may serve as a biomarker for predicting advanced laryngeal cancer recurrence and assist with selecting patients to receive concurrent chemoradiotherapy (CCRT). Further molecular investigations are warranted to determine its effects, but KRT1 has potential as a therapeutic target.

Current OncologyVol. 32(9)
Chonnam National University Hospital (KR), Chonnam National University Hwasun Hospital (KR)
Ajou University
Openalex Percentile: Top 73%
Skin and Cellular Biology 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.