Literature DB >> 9739414

Association of prognosis in surgically treated lung cancer patients with cytometric, histometric and ligand histochemical properties: with an emphasis on structural entropy.

K Kayser1, G Kayser, S Eichhorn, U Biechele, M Altiner, H Kaltner, F Y Zeng, E V Vlasova, N V Bovin, H J Gabius.   

Abstract

OBJECTIVE: To explore new tumor features for refined category formation that permits the tailoring of individualized treatment schemes in lung cancer. STUDY
DESIGN: Survival data on patients from six independent studies on cases with surgically treated lung cancer, primary lung carcinoids or metastasizing breast carcinoma (including data on primary breast carcinoma) were analyzed by nonhierarchic multivariant discriminant analysis with respect to a set of cytometric/histometric and immunohistochemical/ligand histochemical parameters. The number of stem lines, S-phase-related tumor cell fraction and the extent of structural entropy and its current were measured. In addition, the expression of binding capacities for histo-blood group trisacharides, galectins, the alpha/beta-interferon antagonist sarcolectin, the lymphokine macrophage migration inhibitory factor and a monoclonal antibody to the Le(y) epitope was monitored for insight into aspects of immunologic and biologic behavior.
RESULTS: In all studies, a correlation between tumor parameters, according to TNM stage and survival, was seen. In order to refine this category formation, at least certain selected features should provide an even more stringent association than TNM stages. Indeed, statistical correlation of the cytometric and histometric parameters as well as the expression of receptors for the two histo-blood group trisaccharides, ligands for the galectins (CL-16, CL-14) and macrophage migration inhibitory factor was stronger than that of TNM stage. A large amount of the current of structural entropy was especially highly significantly associated with poor survival. This observation could be verified in each of the different studies.
CONCLUSION: The obtained data strongly support the notion that thermodynamic evaluation of tumor growth focusing on the "entropy distance" of the tumor from its environment is a promising perspective warranting extended studies. Additionally, glycohistochemical features, including binding capacities for histo-blood group trisaccharides, have the potential to aid in establishment of a biologic marker set for tumor staging.

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Year:  1998        PMID: 9739414

Source DB:  PubMed          Journal:  Anal Quant Cytol Histol        ISSN: 0884-6812            Impact factor:   0.302


  6 in total

1.  Vascular diffusion density and survival of patients with primary lung carcinomas.

Authors:  Gian Kayser; Jan Dirk Baumhäkel; Tamas Szöke; Imre Trojan; Urs Riede; Martin Werner; Klaus Kayser
Journal:  Virchows Arch       Date:  2003-04-05       Impact factor: 4.064

Review 2.  Oncoprotein metastasis and its suppression revisited.

Authors:  Razvan T Radulescu
Journal:  J Exp Clin Cancer Res       Date:  2010-04-09

3.  Microvascular structural entropy: a novel approach to assess angiogenesis in pituitary tumors.

Authors:  Sergio Vidal; Eva Horvath; Kalman Kovacs; Ricardo V Lloyd; Bernd W Scheithauer
Journal:  Endocr Pathol       Date:  2003       Impact factor: 3.943

4.  Quantification of virtual slides: Approaches to analysis of content-based image information.

Authors:  Klaus Kayser
Journal:  J Pathol Inform       Date:  2011-01-07

5.  Towards an automated virtual slide screening: theoretical considerations and practical experiences of automated tissue-based virtual diagnosis to be implemented in the Internet.

Authors:  Klaus Kayser; Dominik Radziszowski; Piotr Bzdyl; Rainer Sommer; Gian Kayser
Journal:  Diagn Pathol       Date:  2006-06-10       Impact factor: 2.644

Review 6.  Systems biology of cancer: entropy, disorder, and selection-driven evolution to independence, invasion and "swarm intelligence".

Authors:  M Tarabichi; A Antoniou; M Saiselet; J M Pita; G Andry; J E Dumont; V Detours; C Maenhaut
Journal:  Cancer Metastasis Rev       Date:  2013-12       Impact factor: 9.264

  6 in total

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