| Project/Area Number |
23591782
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Radiation science
|
|---|
| Research Institution | University of Miyazaki |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
FURUKOJI Eiji 宮崎大学, 医学部医学科, 助教 (00423723)
KIYOHARA Shogo 宮崎大学, 医学部医学科, その他 (30599585)
MIZUTANI Youichi 宮崎大学, 医学部医学科, 助教 (40599586)
KONDOU Kazuhiro 宮崎大学, 医学部医学科, 准教授 (10244196)
TAKAHASHI Nobuyasu 宮崎大学, 医学部医学科, 准教授 (20404436)
NISHII Ryuichi 宮崎大学, 医学部医学科, 講師 (60463212)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
KAWAI Keiichi 金沢大学, 医学部保健学科, 教授 (30204663)
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Project Status |
Completed (Fiscal Year 2013)
|
| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
|
|---|
| Keywords | すい臓がん / 癌遺伝子 / RT-PCR / FDG-PET / ADC / prognosis / 膵臓癌 / FDG-PET/CT / 予後 / SUVmax / 癌遺伝子発現 |
|---|
| Research Abstract |
We examined correlation among FDG uptake indices (SUVmax), MRI diffusion index(ADC) and various oncogenes expression in pancreas cancer. In addition, we evaluated the association those parameters and prognoses.Positive weak correlations were noted among SUVmax and EGFR, Ki-67, CDH13, VEGFA, p53.The value of SUV max was significantly higher in the recurrent group compared with that of the non-recurrence group. As for ADC mean level, it was significantly lower in the recurrent group. Both CDH13 and VEGFA demonstrated significantly higher values in the recurrent group.In pancreas cancer, gene expressions such as involving in tumor-vascular proliferation and tissue adhesion were the important prognostic factor.In addition, both SUV max and ADC mean were important imaging biomarker for predicting prognosis.
|
