Clofarabine 联合 Lenalidomide 治疗高危骨髓增生异常综合征与急性髓系白血病

该数据集来自 clinicaltrials.gov,主题为 Clofarabine 联合 Lenalidomide 治疗高危骨髓增生异常综合征与急性髓系白血病

National Heart, Lung, and Blood Institute (NHLBI)National Heart, Lung, and Blood Institute (NHLBI)
clinicaltrials
浏览 4
基因组Myeldysplastic Syndrome (MDS)Chronic Myelomonocytic LeukemiaBone Marrow DiseasesNeutropeniaAcute Myeloid Leukemia (AML)
Clofarabine Followed By Lenalidomide for High-Risk Myelodysplastic Syndromes and Acute Myeloid Leukemia

基本信息

模态
基因组
创建/更新时间
2026-10-12

资源简介

Clofarabine 联合 Lenalidomide 治疗高危骨髓增生异常综合征与急性髓系白血病

该数据集来自 clinicaltrials.gov,主题为 Clofarabine 联合 Lenalidomide 治疗高危骨髓增生异常综合征与急性髓系白血病。源站描述覆盖骨髓增生异常综合征(MDS)、慢性粒单核细胞白血病(CMML)、骨髓疾病、中性粒细胞减少症及急性髓系白血病(AML)等病种,指出这些异质性髓系恶性肿瘤预后较差,多数患者因高龄和合并症不适合异基因干细胞移植或强化化疗等标准治疗,并介绍 Clofarabine 为第二代嘌呤核苷类似物,在高危 MDS 和 AML 中显示出疗效。可用于肿瘤与白血病相关研究(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):疾病:骨髓增生异常综合征(MDS)、慢性粒单核细胞白血病、骨髓疾病、中性粒细胞减少症、急性髓系白血病(AML)。高危骨髓增生异常综合征(MDS)、慢性粒单核细胞白血病(CMML)和急性髓系白血病(AML)是异质性髓系恶性肿瘤,与不良预后相关。由于高龄和医学合并症,大多数 MDS、CMML 和 AML 患者不适合可能治愈的标准治疗,如异基因干细胞移植(SCT)或强化化疗(ICT)。显然需要能够提高缓解率、毒性较低并延长生存期的新治疗方法,用于高危 MDS 和 AML 患者。Clofarabine 是一种骨髓抑制性第二代嘌呤核苷类似物,已在可变剂量水平下对高危 MDS 和 A 显示出有意义的疗效

【主题与分类】

主题标签:Myeldysplastic Syndrome (MDS)、Chronic Myelomonocytic Leukemia、Bone Marrow Diseases、Neutropenia、Acute Myeloid Leukemia (AML)。本站分类:肿瘤/白血病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT01629082

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下载信息

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需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT01629082

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Myeldysplastic Syndrome (MDS), Chronic Myelomonocytic Leukemia, Bone Marrow Diseases, Neutropenia, Acute Myeloid Leukemia (AML). High risk myelodysplastic syndromes (MDS), chronic myelomonocytic leukemia (CMML) and acute myelogenous leukemia (AML) are hetereogeneous myeloid malignancies that are associated with a poor prognosis. Due to advanced age and medical comorbidities, the majority of MDS, CMML, and AML patients are not candidates for potentially curative standard treatments such as allogeneic stem cell transplantation (SCT) or intensive chemotherapy (ICT). New therapeutic approaches that improve response rates, have lesser toxicity, and extend survival are clearly needed for high risk MDS and AML patients. Clofarabine is a myelosuppressive, second generation purine nucleoside analogue which has shown meaningful efficacy at variable dosing levels for high risk MDS and AML patients with a favorable toxicity profile compared to intensive chemotherapy. Lenalidomide is an oral structural analogue of thalidomide with a complex mechanism of action including immunomodulatory, anti-angiogenic, and direct cytotoxic effects which is a well-established treatment for MDS and has shown agent single efficacy at higher doses for AML. Lenalidomide s therapeutic benefit in AML has been the greatest in patients with low presenting total leukocyte and circulating blast counts. We hypothesize that the initial cytoreductive effects of clofarabine may augment the effectiveness of subsequent lenalidomide therapy and create a favorable immunologic milieu for patients eligible for lenalidomide maintenance therapy. This open-label, single institution phase I trial will evaluate a sequential combination of IV clofarabine with oral lenalidomide for the treatment of high risk MDS, CMML, and AML. Subjects will receive a single course of IV clofarabine (5 milligrams per metered square per day times 5) for cytoreduction. This will be followed by oral lenalidomide consolidation with dose escalation from 25 mg daily for 21/28 days for 1 cycle in the first cohort up to 50 mg daily for 28/28 days for 2 cycles in the fourt

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。

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