表1_使用斑马鱼幼虫患者来源胃癌异种移植预测临床化疗敏感性和疗效

数据集获取（Figshare）

• 源站标题：Table_1_Prediction of Sensitivity and Efficacy of Clinical Chemotherapy Using Larval Zebrafish Patient-Derived Xenografts of Gastric Cancer.DOCX
• DOI：10.3389/fcell.2021.680491.s003
• 发布日期：2021-06-07
• 文件数：1 个
• 文件总体积：65.12 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Prediction_of_Sensitivity_and_Efficacy_of_Clinical_Chemotherapy_Using_Larval_Zebrafish_Patient-Derived_Xenografts_of_Gastric_Cancer_DOCX/14741841

命令行下载

curl -L -o "Table_1_Prediction of Sensitivity and Efficacy of Clinical Chemotherapy Using Larval Zebrafish Patient-Derived Xenografts of Gastric Cancer.DOCX" "https://ndownloader.figshare.com/files/28321005"

文件清单

• Table_1_Prediction of Sensitivity and Efficacy of Clinical Chemotherapy Using Larval Zebrafish Patient-Derived Xenografts of Gastric Cancer.DOCX（65.12 KB）

文件总体积 65.12 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

BackgroundPerioperative chemotherapy has been accepted as one of the most common approaches for locally advanced gastric cancer. However, the efficacy of chemotherapy varies among patients, and there is no effective method to predict the chemotherapy efficacy currently. We previously established the first larval zebrafish patient-derived xenografts (zPDXs) of gastric cancer as a platform for the translational research and personalized treatment. The objective of this study was to investigate the feasibility of screening individualized chemotherapeutics using the zPDXs.
MethodsWe further optimized this zPDXs platform including administration route, drug dosing, and rhythm to develop a stable and reliable protocol for chemotherapeutics screening. Using the novel platform, we investigated the chemosensitivity of 5-fluorouracil, cisplatin, docetaxel, and doxorubicin for gastric cancer patients.
ResultsWe showed that the engrafted zebrafish retained the original prominent cell components of the corresponding human tumor tissues, and we successfully obtained the results of chemosensitivity of 5-fluorouracil, cisplatin, docetaxel, and doxorubicin for 28 patients with locally advanced gastric cancer. These patients underwent radical gastrectomy for curative intent and 27 cases received postoperative adjuvant chemotherapy. We revealed that the chemosensitivity obtained from zPDXs was consistent with the clinical responses in these patients (P = 0.029). More importantly, the responder drug(s) from zPDXs used or not was the only risk factor for early-stage recurrence in these 27 patients (P = 0.003).
ConclusionOur study with the largest sample size so far suggests that larval zPDXs help to predict the chemotherapeutics response and to achieve precise chemotherapy for gastric cancer.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcell.2021.680491.s003（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Prediction_of_Sensitivity_and_Efficacy_of_Clinical_Chemotherapy_Using_Larval_Zebrafish_Patient-Derived_Xenografts_of_Gastric_Cancer_DOCX/14741841）。