Prognostic impact of a compartment-specific angiogenic marker profile in patients with pancreatic cancer.
Prognostic impact of a compartment-specific angiogenic marker profile in patients with pancreatic cancer.
复制标题
DOI:
10.18632/oncotarget.2651
复制
发表时间:
2014-12-30
期刊:
影响因子:
--
通讯作者:
Koch M
中科院分区:
文献类型:
--
作者:
Kahlert C;Fiala M;Musso G;Halama N;Keim S;Mazzone M;Lasitschka F;Pecqueux M;Klupp F;Schmidt T;Rahbari N;Schölch S;Pilarsky C;Ulrich A;Schneider M;Weitz J;Koch M
Pancreatic cancer consists of a heterogenous bulk of tumor cells and stroma cells which contribute to tumor progression by releasing angiogenic factors. Those factors can be detected as circulating serum factors. We performed a compartment-specific analysis of tumor-derived and stroma-derived angiogenic factors to identify biomarkers and molecular targets for the treatment of pancreatic cancer. Kryo-frozen tissue from primary ductal adenocarcinomas (n = 51) was laser-microdissected to isolate tumor and stroma tissue. Expression of 17 angiogenic factors (angiopoietin-2, follistatin, GCSF, HGF, interleukin-8, leptin, PDGF-BB, PECAM-1, VEGF, matrix metalloproteinase -1, -2, -3, -7, -9, -10, -12, and -13) was analyzed using a multiplex elisa assay for tissue-derived proteins and corresponding serum. Our study reveals a compartment-specific expression profile for several angiogenic factors and matrix metalloproteinases. ROC analysis of corresponding serum samples reveals MMP-7 and MMP-12 as strong classifiers for the diagnosis of patients with pancreatic cancer vs. healthy control donors. High expression of tumor-derived PDGF-BB and MMP-1 correlates with prolonged survival in univariate and multivariate analysis. In conclusion, a distinct expression patterns for angiogenic cytokines and MMPs in pancreatic cancer and surrounding stroma may implicate them as novel targets for cancer treatment. Tumor-derived PDGF-BB and MMP-1 are significant and independent prognostic markers for poor survival.
登录
查看更多内容
影响因子:
50.3
作者:
Özdemir BC;Pentcheva-Hoang T;Carstens JL;Zheng X;Wu CC;Simpson TR;Laklai H;Sugimoto H;Kahlert C;Novitskiy SV;De Jesus-Acosta A;Sharma P;Heidari P;Mahmood U;Chin L;Moses HL;Weaver VM;Maitra A;Allison JP;LeBleu VS;Kalluri R
通讯作者:
Kalluri R
影响因子:
50.3
作者:
Cooke VG;LeBleu VS;Keskin D;Khan Z;O'Connell JT;Teng Y;Duncan MB;Xie L;Maeda G;Vong S;Sugimoto H;Rocha RM;Damascena A;Brentani RR;Kalluri R
通讯作者:
Kalluri R
影响因子:
5.3
作者:
Decock J;Thirkettle S;Wagstaff L;Edwards DR
通讯作者:
Edwards DR
影响因子:
24.5
作者:
Neesse, Albrecht;Michl, Patrick;Tuveson, David A.
通讯作者:
Tuveson, David A.
影响因子:
3
作者:
Delcore, R;Rodriguez, FJ;Thomas, JH
通讯作者:
Thomas, JH