Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics

This study comprehensively mapped PRGs in PTC, established a validated risk model, and provided insights into immune-microenvironment interactions and therapeutic targets, advancing precision oncology for PTC.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-12-02
DOI
https://doi.org/10.1007/s12672-025-04202-7
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics

Shuxin Wen, Rui Wang, Li Zhang
Discover Oncology
Thyroid Cancer Diagnosis and Treatment
article

Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics

Shuxin Wen, Rui Wang, Li Zhang
article en

Abstract

This study comprehensively mapped PRGs in PTC, established a validated risk model, and provided insights into immune-microenvironment interactions and therapeutic targets, advancing precision oncology for PTC.

Discover OncologyVol. 17(1)
Shanxi Medical University (CN), Shanxi Provincial Cancer Hospital (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN), Shanxi Academy of Medical Sciences (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 50%
Thyroid Cancer Diagnosis and Treatment
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.