BRAF与TP53突变相互作用定义乳头状甲状腺癌新型预后分层及治疗意义_表4

数据集获取（Figshare）

• 源站标题：Table 4_Mutation interactions of BRAF and TP53 define novel prognostic stratification and therapeutic implications in papillary thyroid carcinoma.xlsx
• DOI：10.3389/fendo.2025.1584618.s004
• 发布日期：2025-09-29
• 文件数：1 个
• 文件总体积：9.36 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_4_Mutation_interactions_of_BRAF_and_TP53_define_novel_prognostic_stratification_and_therapeutic_implications_in_papillary_thyroid_carcinoma_xlsx/30229417

命令行下载

curl -L -o "Table 4_Mutation interactions of BRAF and TP53 define novel prognostic stratification and therapeutic implications in papillary thyroid carcinoma.xlsx" "https://ndownloader.figshare.com/files/58339906"

文件清单

• Table 4_Mutation interactions of BRAF and TP53 define novel prognostic stratification and therapeutic implications in papillary thyroid carcinoma.xlsx（9.36 KB）

文件总体积 9.36 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

BackgroundPapillary thyroid carcinoma (PTC) requires improved risk stratification through molecular profiling, yet how mutation interactions shape clinical outcomes remains poorly defined.
MethodsThis single-center retrospective study analyzed 72 PTC cases using next-generation sequencing to characterize mutation patterns and pathway evolution, with validation against The Cancer Genome Atlas datasets.
ResultsWe identified three key molecular features: BRAF mutations (47.2%) predicted recurrence risk (p By integrating BRAF/TP53 status with conventional staging, we establish a mutation-guided framework that may refine risk prediction and inform treatment strategies, bridging molecular heterogeneity with clinical decision-making. This work provides insights for personalizing thyroid cancer management.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fendo.2025.1584618.s004（source: https://frontiersin.figshare.com/articles/dataset/Table_4_Mutation_interactions_of_BRAF_and_TP53_define_novel_prognostic_stratification_and_therapeutic_implications_in_papillary_thyroid_carcinoma_xlsx/30229417）。