| Unique ID issued by UMIN | UMIN000008865 |
|---|---|
| Receipt number | R000010109 |
| Scientific Title | Exploratory analysis of biomarkers predicting the treatment response in esophageal squamous cell carcinoma by using biopsy samples |
| Date of disclosure of the study information | 2012/09/10 |
| Last modified on | 2018/01/08 14:12:46 |
Exploratory analysis of biomarkers predicting the treatment response in esophageal squamous cell carcinoma by using biopsy samples
Analysis of biomarkers predicting the treatment response in ESCC
Exploratory analysis of biomarkers predicting the treatment response in esophageal squamous cell carcinoma by using biopsy samples
Analysis of biomarkers predicting the treatment response in ESCC
| Japan |
Esophageal cancer
| Gastroenterology |
Malignancy
YES
To construct the effective algorism predicting the treatment response in Esophageal squamous cell carcinoma
Others
basic research
Exploratory
Identification of gene profile to distinguish the response group and non-response group
Observational
| Not applicable |
| Not applicable |
Male and Female
esophageal squamous cell carcinoma patients
History of radiation therapy
History of chemotherapy
100
| 1st name | |
| Middle name | |
| Last name | Manabu Muto |
Kyoto University Graduate School of Medicine
Department of Therapeutic Oncology
54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
0757514592
mmuto@kuhp.kyoto-u.ac.jp
| 1st name | |
| Middle name | |
| Last name | Yusuke Amanuma |
Kyoto University Graduate School of Medicine
Department of Therapeutic Oncology
54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
0757513518
yusuke12@kuhp.kyoto-u.ac.jp
Department of Therapeutic Oncology, Kyoto University Graduate School of Medicine
Trust Accounts
Other
NO
| 2012 | Year | 09 | Month | 10 | Day |
Unpublished
Open public recruiting
| 2012 | Year | 08 | Month | 06 | Day |
| 2012 | Year | 09 | Month | 10 | Day |
We take biopsy samples of esophageal squamous cell carcinoma, and identify gene profile to distinguish the response group and the non-response group.
We construct the effective algorism predicting the treatment response in esophageal squamous cell carcinoma.
| 2012 | Year | 09 | Month | 06 | Day |
| 2018 | Year | 01 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000010109