基因组不稳定性与CCNE1扩增作为高级别浆液性卵巢癌分层的新兴生物标志物表1

数据集获取（Figshare）

• 源站标题：Table 1_Genomic instability and CCNE1 amplification as emerging biomarkers for stratifying high-grade serous ovarian cancer.xlsx
• DOI：10.3389/fonc.2025.1633410.s004
• 发布日期：2025-08-06
• 文件数：1 个
• 文件总体积：10.46 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Genomic_instability_and_CCNE1_amplification_as_emerging_biomarkers_for_stratifying_high-grade_serous_ovarian_cancer_xlsx/29833643

命令行下载

curl -L -o "Table 1_Genomic instability and CCNE1 amplification as emerging biomarkers for stratifying high-grade serous ovarian cancer.xlsx" "https://ndownloader.figshare.com/files/56932466"

文件清单

• Table 1_Genomic instability and CCNE1 amplification as emerging biomarkers for stratifying high-grade serous ovarian cancer.xlsx（10.46 KB）

文件总体积 10.46 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

IntroductionOvarian cancer (OC) is one of the leading causes of cancer-related death in women worldwide. Treatment with PARP-inhibitors has significantly improved survival in patients with high-grade serous cancer (HGSC) bearing BRCA1/2 mutations (~22% of the cases), and/or homologous recombination deficiency (HRD, ~50%). Unfortunately, limited therapeutic alternatives are available for BRCA1/2 wild type/HR proficient HGSC patients, who usually exhibit resistance to standard treatments and poor prognosis.
MethodsHerein, we present the results of a comprehensive genomic profiling (CGP) analysis using the Oncomine Comprehensive Assay® (OCA) Plus in a consecutive retrospective cohort of 102 HGSC patients characterized in our institution.
ResultsGenomic instability, measured by Genomic Instability Metric (GIM) >16, was found in 40% of the cases and was significantly associated with BRCA1/2 mutations (p=0.009), with a better prognosis in terms of recurrence-free survival (p=0.01). CCNE1 amplification was observed in 29% of cases and was negatively correlated with BRCA1/2 mutations (p=0.001), without any association with GIM, supporting CCNE1 as a strong and independent driver of tumorigenesis. Additionally, CCNE1 amplification was validated with fluorescent in situ hybridization (FISH), supporting the analytical robustness of NGS data (rho=0.93), and investigated by immunohistochemistry (IHC), revealing that CCNE1 protein overexpression was observed in the absence of gene amplification in 45% of cases.
DiscussionOur real-world study supports the clinical utility of the GIM metric and the analytical validity of CCNE1 amplification, a new promising biomarker for personalizing treatment in HR proficient HGSC patients. The discordance between CCNE1 amplification and protein expression raises intriguing questions about the mechanisms of CCNE1-driven tumorigenesis and warrants further investigation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2025.1633410.s004（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Genomic_instability_and_CCNE1_amplification_as_emerging_biomarkers_for_stratifying_high-grade_serous_ovarian_cancer_xlsx/29833643）。