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Genes covering clinically actionable targets in CancerDetectTM test.

Figshare2025-11-10 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Genes_covering_clinically_actionable_targets_in_CancerDetect_sup_TM_sup_test_/30583211 数据链接链接失效反馈

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Genes covering clinically actionable targets in CancerDetectTM test.

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创建时间：

2025-11-10

肿瘤网络熵分析

精准医疗靶向

Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, molecular profiles differ between patients, and most tumors exhibit inherent heteroge

NIAID Data Ecosystem40

Supplementary Table S1 from Hyper-Dependence on NHEJ Enables Synergy between DNA-PK Inhibitors and Low-Dose Doxorubicin in Leiomyosarcoma

癌症基因检测

滑膜肉瘤治疗

Supplementary Table S1: Cancer-associated genes interrogated by Oncopanel. Samples in this study were analyzed with three versions of the assay (v1, v2, v3 and v3.1) – the gene content of each panel i

NIAID Data Ecosystem30

Data_Sheet_10_Comprehensive Analysis and Identification of Prognostic Biomarkers and Therapeutic Targets Among FAM83 Family Members for Gastric Cancer.ZIP

癌症分子标志物

精准医疗靶向

Background: Gastric cancer (GC) is one of the most common and poor prognosis malignancy in the world. The Family with sequence similarity 83 (FAM83) comprises of eight members of A–H. Accumulating evi

NIAID Data Ecosystem20

Gene mutations in lung cancer with idiopathic pulmonary fibrosis

癌症基因组数据

精准医疗靶向

This study investigated the genomic profiles of lung cancer patients with idiopathic pulmonary fibrosis (IPF-LC), mechanism of carcinogenesis, and potential therapeutic targets. We analyzed 29 matched

NIAID Data Ecosystem30

Performance statistics of the BRAF detection with the four validated assays compared to NGS.

癌症基因检测

分子诊断

Performance statistics of the BRAF detection with the four validated assays compared to NGS.

NIAID Data Ecosystem30