Library

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Electronic Resource
    Electronic Resource
    Fatty acid synthase expression in melanoma (2003)
    Oxford, UK : Munksgaard International Publishers
    Journal of cutaneous pathology 30 (2003), S. 0 
    Details
    ISSN: 1600-0560
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Background: Fatty acid synthase (FAS), the key enzyme responsible for the synthesis of fatty acids, is weakly expressed in some normal human tissues. Recently, FAS has been demonstrated to be overexpressed in many non-neoplastic highly proliferative lesions and in aggressive carcinomas with poor outcome, including colon, breast and ovary carcinomas. Methods: In order to evaluate the prognostic significance of FAS in human melanoma, we analysed by means of immunohistochemistry, using a monoclonal anti-FAS antibody, 77 primary melanomas and 30 nodal and cutaneous metastasis. Thirty nevi (15 dermal and 15 junctional nevi) were used as controls. All patients were followed-up for 5 years. Results: Thirty-four melanomas expressed strong FAS immunostaining; the remaining 43 cases showed weak expression or were negative. All cutaneous and nodal metastasis were strongly positive. All patients with metastases deceased during the follow up period. Control specimens expressed weak staining. None of these patients developed recurrence. Statistical analysis revealed significant association of FAS expression with Breslow thickness (p = 0.012). The intensity of FAS immunostaining was also predictive of prognosis (p = 0.049). Conclusions: FAS is a reliable prognostic marker in human melanomas. FAS predictive strength is increased when associated with Breslow thickness. The observation of FAS in human melanomas may stratify patients for stricter follow-ups and suggest different therapeutic approaches.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1034/j.1600-0560.2003.300104.x
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Sinus histiocytosis with massive lymphadenopathy (Rosai-Dorfman disease): case report with nodal and diffuse muco-cutaneous involvement (1998)
    Oxford, UK : Blackwell Publishing Ltd
    Journal of cutaneous pathology 25 (1998), S. 0 
    Details
    ISSN: 1600-0560
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Sinus histiocytosis with massive lymphadenopathy (SHML) (Rosai-Dorfman disease) is a rare self-limited histiocytic disorder of unknown origin, usually present with cervical lymphadenopathy, fever, elevated ESR and haematologic abnormalities. Extranodal lesions may occur as initial manifestations ofthe disease. In most cases skin lesions are associated with nodal or extranodal localization. A 54-year-old male is reported who, for a period of ten months, presented numerous slowly enlarging, rounded papular lesions on the face, neck, trunk as well as severe cervical lymphadenopathy without general and haematological disturbances. Thereafter a fungating mass developed in the nasal cavity. Histological, histochemical and immunohistochemical tests of skin, mucosal and lymph-node lesions were consistent with a diagnosis of SHML. The immunohistochemical characterization of the cytophagocytic S-100+ macrophages revealed that they were highly positive for the adhesion molecules Vitronectin receptor av/b3, which is used by tissue macrophages for removal of effete cells through phagocytosis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1600-0560.1998.tb01742.x
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...