Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Purpose: The objective of this study was to develop and evaluate a novel classifier and prognostic model based on the stemness characteristics of thyroid cancer patients.
Methods: Utilizing transcriptomic data from thyroid carcinoma (THCA) patients in The Cancer Genome Atlas (TCGA) database, we calculated the stemness index (mRNAsi) using the one-class logistic regression (OCLR) method. Patients were subsequently classified into three distinct subtypes through consensus cluster analysis.
Results: Subtype III, characterized by its stem-like properties, exhibited significantly lower overall survival (OS) and a higher somatic mutational burden. Comprehensive analysis of the tumor immune microenvironment (TIME) in Subtype III suggested an immunosuppressive phenotype. Through the application of four machine learning algorithms and LASSO regression, we identified key genes and constructed a prognostic model based on the stemness signature. This model revealed that patients in the high-risk group had lower progression-free survival (PFS) but may benefit more from immune checkpoint blockade therapy, as indicated by TIME analysis. Functional experiments demonstrated that the stemness signature gene DPYSL3 promotes the proliferation, migration, and invasion of thyroid cancer cells and is associated with cancer stem cell properties.
Conclusion: This study provides a new strategy for thyroid cancer immunotherapy by integrating stemness-based classification and prognostic modeling.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165942 | PMC |
| http://dx.doi.org/10.1007/s12672-025-02883-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Diagnostic approach to FNA biopsy of cystic lesions of the head and neck.
Cancer Cytopathol
October 2025
Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Cystic lesions of the head and neck encompass a wide spectrum of benign and malignant entities, which often presents diagnostic challenges as a result of the region's complex anatomy. Despite extensive literature, variability persists in diagnostic strategies and approaches. Fine-needle aspiration biopsy is a commonly used and highly effective method for the initial assessment of these lesions by offering a minimally invasive technique to collect cellular material for diagnostic evaluation.
View Article and Find Full Text PDFLetter to the Editor: Revisiting a "Revised Perspective on the American Joint Committee on Cancer's Staging System for Medullary Thyroid Cancer".
J Natl Compr Canc Netw
September 2025
aMedStar Georgetown University Hospital, Washington, DC.
Authors' Reply to the Letter to the Editor by Foote et al: Revisiting a "Revised Perspective on the American Joint Committee on Cancer's Staging System for Medullary Thyroid Cancer".
J Natl Compr Canc Netw
September 2025
aDepartment of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Digital differential diagnostics of thyroid pathology by interference scanning of ellipticity polarization maps of microscopic images of native histological sections.
Pol Merkur Lekarski
September 2025
BUKOVINIAN STATE MEDICAL UNIVERSITY, CHERNIVTSI, UKRAINE.
Objective: Aim: To find out new objective criteria for laser histological differential diagnosis of thyroid pathology based on the use of a digital method of layer-by-layer polarization-interference mapping of polarization ellipticity maps of microscopic images of native histological sections of thyroid biopsy.
Patients And Methods: Materials and Methods: Four groups of patients were studied: control group 1 - healthy donors (51 patients); study group 2 - patients with nodular goiter (51 patients); study group 3 - patients with autoimmune thyroiditis (51 patients); study group 4 - patients with papillary cancer (51 patients). Methods used: polarization-interference, statistical.
Mechanistic study on the inhibition of triple-negative breast cancer progression by LncRNA TFAP2A-AS1 through the regulation of miR-6892/PHGDH.
Inflamm Res
September 2025
Department of General Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Background: The roles of long non-coding RNAs (lncRNAs) in the progression of various human tumors have been extensively studied. However, their specific mechanisms and therapeutic potential in Triple-Negative Breast Cancer (TNBC) remain to be fully elucidated.
Materials And Methods: The qRT-PCR assay was utilized to assess the relative mRNA levels of TFAP2A-AS1, PHGDH, and miR-6892.