Glial differentiation predicts poor clinical outcome in primitive neuroectodermal brain tumors.
Glial differentiation predicts poor clinical outcome in primitive neuroectodermal brain tumors.
复制标题
神经胶质分化预示着原始神经外胚层脑肿瘤的不良临床结果。
DOI:
10.1002/ana.410390410
复制
发表时间:
1996
期刊:
影响因子:
--
通讯作者:
Phillips,PC
中科院分区:
文献类型:
--
作者:
Janss,AJ;Yachnis,AT;Silber,JH;Trojanowski,JQ;Lee,VM;Sutton,LN;Perilongo,G;Rorke,LB;Phillips,PC
Primitive neuroectodermal tumors (PNETs) of the central nervous system, including medulloblastomas (PNET/MB), are the most common malignant brain tumor of childhood. These tumors often express proteins characteristic of glial differentiation (glial fibrillary acidic protein, GFAP), neuronal differentiation (neurofilament proteins, NFPs), and/or photoreceptor differentiation (retinals antigen). To identify biological factors of prognostic significance in PNETs, the expression of glial, neuronal, or photoreceptor antigens was evaluated in the tumor specimens of 86 patients with PNETs by immunohistochemistry after microwave antigen enhancement. Patterns of differentiation were then compared with patient relapse‐free survival. Multivariate analysis of PNET immunohistochemistry and clinical variables indicated GFAP expression conferred a 6.7‐fold greater risk of relapse than tumors that did not express GFAP or NFPs. Increased risk of relapse was directly related to the amount of GFAP expression. Tumors exhibiting clumps or sheets of GFAP‐staining cells were associated with a 3.0‐fold increased risk of relapse compared with tumors that did not express GFAP, irrespective of immunohistochemical evidence of other differentiation, while scattered GFAP staining was not associated with increased risk of relapse. These findings indicate that expression of GFAP in PNETs has prognostic power comparable with the most significant clinical factors currently used to predict clinical outcome.
登录
查看更多内容
影响因子:
64.8
作者:
Capper D;Jones DTW;Sill M;Hovestadt V;Schrimpf D;Sturm D;Koelsche C;Sahm F;Chavez L;Reuss DE;Kratz A;Wefers AK;Huang K;Pajtler KW;Schweizer L;Stichel D;Olar A;Engel NW;Lindenberg K;Harter PN;Braczynski AK;Plate KH;Dohmen H;Garvalov BK;Coras R;Hölsken A;Hewer E;Bewerunge-Hudler M;Schick M;Fischer R;Beschorner R;Schittenhelm J;Staszewski O;Wani K;Varlet P;Pages M;Temming P;Lohmann D;Selt F;Witt H;Milde T;Witt O;Aronica E;Giangaspero F;Rushing E;Scheurlen W;Geisenberger C;Rodriguez FJ;Becker A;Preusser M;Haberler C;Bjerkvig R;Cryan J;Farrell M;Deckert M;Hench J;Frank S;Serrano J;Kannan K;Tsirigos A;Brück W;Hofer S;Brehmer S;Seiz-Rosenhagen M;Hänggi D;Hans V;Rozsnoki S;Hansford JR;Kohlhof P;Kristensen BW;Lechner M;Lopes B;Mawrin C;Ketter R;Kulozik A;Khatib Z;Heppner F;Koch A;Jouvet A;Keohane C;Mühleisen H;Mueller W;Pohl U;Prinz M;Benner A;Zapatka M;Gottardo NG;Driever PH;Kramm CM;Müller HL;Rutkowski S;von Hoff K;Frühwald MC;Gnekow A;Fleischhack G;Tippelt S;Calaminus G;Monoranu CM;Perry A;Jones C;Jacques TS;Radlwimmer B;Gessi M;Pietsch T;Schramm J;Schackert G;Westphal M;Reifenberger G;Wesseling P;Weller M;Collins VP;Blümcke I;Bendszus M;Debus J;Huang A;Jabado N;Northcott PA;Paulus W;Gajjar A;Robinson GW;Taylor MD;Jaunmuktane Z;Ryzhova M;Platten M;Unterberg A;Wick W;Karajannis MA;Mittelbronn M;Acker T;Hartmann C;Aldape K;Schüller U;Buslei R;Lichter P;Kool M;Herold-Mende C;Ellison DW;Hasselblatt M;Snuderl M;Brandner S;Korshunov A;von Deimling A;Pfister SM
通讯作者:
Pfister SM
影响因子:
9.7
作者:
Kahlert, Ulf D.;Maciaczyk, Donata;Maciaczyk, Jaroslaw
通讯作者:
Maciaczyk, Jaroslaw
影响因子:
11.1
作者:
Siebzehnrubl, Florian A.;Silver, Daniel J.;Tugertimur, Bugra;Deleyrolle, Loic P.;Siebzehnrubl, Dorit;Sarkisian, Matthew R.;Devers, Kelly G.;Yachnis, Antony T.;Kupper, Marius D.;Neal, Daniel;Nabilsi, Nancy H.;Kladde, Michael P.;Suslov, Oleg;Brabletz, Simone;Brabletz, Thomas;Reynolds, Brent A.;Steindler, Dennis A.
通讯作者:
Steindler, Dennis A.
影响因子:
4.7
作者:
Doyen J;Parks SK;Marcié S;Pouysségur J;Chiche J
通讯作者:
Chiche J
影响因子:
9.3
作者:
Ghosh D;Funk CC;Caballero J;Shah N;Rouleau K;Earls JC;Soroceanu L;Foltz G;Cobbs CS;Price ND;Hood L
通讯作者:
Hood L