遇见数据集

Lung Cancer Pharmacogenomics (LUPG)

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NIAID Data Ecosystem2026-05-26 收录
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Lung cancer is frequently treated with paclitaxel in combination with several other agents; however, paclitaxel treatment is often ineffective or limited by treatment-related toxicities. Heritable variants in genes associated with absorption, distribution, metabolism, and elimination may predict paclitaxel clinical outcome and toxicity. We designed a prospective multi-institutional study that recruited 546 patients receiving therapy with a 5-year follow up. All patients were genotyped using the Drug Metabolizing Enzymes and Transporters (DMET) platform, which ascertains 1931 genotypes in 235 genes. Genotypes were compared to the progression-free survival of paclitaxel therapy and clinically-significant paclitaxel toxicities. Seven genetic variants were associated with paclitaxel PFS (in ABCB11, ABCC3, ABCG1, CYP8B1, NR3C1, FMO6P, and GSTM3), whereas four genetic variants (in VKORC1, SLC22A14, GSTA2, and DCK) were associated with paclitaxel toxicities. The present SNPs have limited clinical utility but suggest that certain genes are related to important paclitaxel pathways in lung cancer.]]> Inclusion Criteria Patients 18 years of age and older are eligible. Histologic diagnosis of primary lung carcinoma. For non-small cell lung cancer, patients can be stage I to IV, and receive any treatment (surgical resection, chemotherapy, radiation, molecularly targeted therapy). For small cell lung cancer, patients can be limited or extensive stage and receive any treatment (surgical resection, chemotherapy, radiation, molecularly targeted therapy). Patients must have a performance status of ECOG 0, 1, 2, or 3 for admission to this protocol. Patients with a current diagnosis of or a prior history of other cancers may be included onto this protocol. Patients may have either normal organ function or impaired organ function. Exclusion Criteria Children will not be eligible. ]]> The study opened in 2009 and was completed in 2018.]]>

创建时间:
2018-09-11
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