Asset Details
Do you wish to reserve the book?
Integrative analysis of 5-methylcytosine associated signature in papillary thyroid cancer
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Integrative analysis of 5-methylcytosine associated signature in papillary thyroid cancer
Do you wish to request the book?
Integrative analysis of 5-methylcytosine associated signature in papillary thyroid cancer
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Integrative analysis of 5-methylcytosine associated signature in papillary thyroid cancer
2025
Overview
Emerging evidence has indicated that m5C modification plays a vital role in cancer development. However, the function of m5C-lncRNAs in PTC has never been reported. This study aims to explore the regulation mechanism of m5C RNA methylation-related long noncoding RNAs (m5C-lncRNAs) in papillary thyroid cancer (PTC). Bioinformatics analysis was used to investigate the role of m5C-lncRNAs in the prognosis and tumor immune microenvironment of PTC. Subsequently, we preliminarily verified the regulation mechanisms of m5C-lncRNAs in vivo and in vitro experiments. A total of six m5C-lncRNAs and five immune cell types were selected to construct the risk score and immune risk score (IRS) model, respectively. Patients with a high-risk score had a worse prognosis and the ROC indicated a reliable prediction performance (AUC = 0.796). As expected, the ESTIMATE and immune scores were higher (
P
< 0.001) and the tumor purity (
P
< 0.05) was significantly lower in the low-risk subgroup. CIBERSORT analysis showed Tregs, M0 macrophages, dendritic cells resting, and eosinophils were positively correlated to the risk score. Moreover, the expression levels of PD-1, PD-L1, CTLA-4, TIM-3, LAG-3, and KLRB1 were lower in the high-risk subgroup. Importantly, patients in high-risk subgroup tended to have a better response to immunotherapy than those in low-risk subgroup (
P
= 0.022). Similar to the above risk score, the IRS model also showed favorable prognosis predictive performance (AUC = 0.764). An integrated nomogram combining risk score, IRS, and age exhibited good prognostic predictive performance. Additionally, we validate the downregulation of
PPP1R12A-AS1
promotes proliferation and metastasis by activating the
MAPK
signaling pathway. Our research confirms that m5C-lncRNAs not only contribute to evaluating the prognosis of patients with PTC but also help predict immune cell infiltration and immunotherapy response.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 5-Methylcytosine - metabolism
/ 631/67
/ Biomarkers, Tumor - genetics
/ Cancer
/ Female
/ Gene Expression Regulation, Neoplastic
/ Humanities and Social Sciences
/ Humans
/ Male
/ Nomogram
/ Papillary thyroid cancer (PTC)
/ RNA, Long Noncoding - genetics
/ RNA, Long Noncoding - metabolism
/ Science
/ Thyroid
/ Thyroid Cancer, Papillary - genetics
/ Thyroid Cancer, Papillary - immunology
/ Thyroid Cancer, Papillary - metabolism
/ Thyroid Cancer, Papillary - mortality
/ Thyroid Cancer, Papillary - pathology
/ Thyroid Neoplasms - genetics
/ Thyroid Neoplasms - metabolism
/ Thyroid Neoplasms - pathology
/ Tumor Microenvironment - genetics
/ Tumors
