Urological Research

, Volume 24, Issue 2, pp 83–91 | Cite as

Microcalorimetric measurements carried out on isolated tumorous and nontumorous tissue samples from organs in the urogenital tract in comparison to histological and impulse-cytophotometric investigations

  • M. Kallerhoff
  • M. Karnebogen
  • D. Singer
  • A. Dettenbach
  • U. Gralher
  • R. -H. Ringert
Original Paper


In this comparative study, microcalorimetric measurements were carried out on a total of 96 tumorous and nontumorous tissue samples taken from organs of the urogenital tract using a thermal activity monitor (TAM). Changes in the heat emission of the tissue samples were measured at 1-min intervals and graphically displayed as a function of time. The aim of the study was to compare the microcalorimetric results with impulse-cytophotometric and histological findings and provide evidence for the metabolic activity of tumorous and nontumorous tissue. In order to obtain the variation in metabolic activity, the maxima (Pmax) of the curves were determined as a value of the maximum thermal power of a tissue sample, the mean values (P) were determined by the mean thermal power and the contour integrals (W) were defined by the behavior of the energy reserves and their mobilization. The first part of the study was carried out to investigate whether tumorous and nontumorous tissue samples differ in general according to their metabolic activity. We discovered, using the parameters described above, that in general tumorous tissue exhibited a higher metabolic activity than nontumorous tissue samples. For example, both W and P in tumorous prostate tissue samples were eightfold higher and the (Pmax) value was 8.4-fold higher than in normal tissue. Additional investigations on testicle and kidney tissues were performed to find a possible correlation between microcalorimetric results and histological grading. We found that an increasing malignancy correlated with a higher metabolic activity of the tissue. Based upon these results were were able to differentiate the various histological gradings of these tumorous tissues by microcalorimetric measurements. The results show it is possible to differentiate between normal and tumorous tissue samples by microcalorimetric measurement based on the distinctly higher metabolic activity of malignant tissue. Furthermore, microcalorimetry allows a differentiation and classification of tissue samples into their histological grading. With the help of microcalorimetry, it might be possible in future to detect and record the metabolic processes of isolated tissue structures and changes in these activities as a result of medical intervention such as cytostatic treatment.

Key words

Microcalorimetry Isolated tissue samples Metabolic activities 


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  1. 1.
    Aisenberg AC (1961) The glycolysis and respiration of tumors. Academic Press, New YorkGoogle Scholar
  2. 2.
    Argiles JM, Lopez-Soriano FJ (1990) Why do cancer cells have such a high glycolytic rate? Med Hypotheses 32:151Google Scholar
  3. 3.
    Blüthner-Hässler C, Karnebogen M, Schendel W, Singer D, Kallerhoff M, Zöller G, Ringert RH (1995) Influence of malignancy and cytostatic treatment on microcalorimetric behaviour of urological tissue samples and cell cultures. Thermochim Acta 251:145Google Scholar
  4. 4.
    Board M, Humm S, Newsholme EA (1990) Maximum activities of key enzymes of glycolysis, glutaminolysis, pentose phosphate pathway and tricarboxylic acid cycle in normal, neoplastic and suppressed cells. Biochem J 265:503Google Scholar
  5. 5.
    Brandt L, Olsson H, Monti M (1981) Uptake of thymidine in lymphoma cells obtained through fine-needle aspiration biopsy. Relation to prognosis in non-Hodgkin's lymphomas. Eur J Cancer 11:1229Google Scholar
  6. 6.
    Bringuier PP, Knopf HJ, Schalken JA, Debruyne FMJ (1991) Molekularbiologische Untersuchungen beim Blasenkarzinom. Ürologe [A] 30:167Google Scholar
  7. 7.
    Costa A, Bonadonna G, Villa E, Valagussa P, Silvestrini R (1981) Labeling index as a prognostic marker in non-Hodgkin's lymphomas. J Natl Cancer Inst 66:1Google Scholar
  8. 8.
    Cowdry EV (1955) Cancer cells. WB Saunders, PhiladelphiaGoogle Scholar
  9. 9.
    Fagher B, Monti M, Wadsö I (1986) A microcalorimetric study of heat production in resting skeletal muscle from human subjects. Clin Sci 70:63Google Scholar
  10. 10.
    Fischer CG, Schendel W, Blüthner-Hässler C, Ringert RH (1995) Long-term microcalorimetric findings in renal cell carcinoma exposed to interferon-alpha-2a, interleukin-2 and 5-fluorouracil. Int J Oncol 6:783Google Scholar
  11. 11.
    Goepel M, Rübben H (1991) TNM-orientierte Therapieplanung beim Harnblasenkarzinom. Urologe [A] 30:151Google Scholar
  12. 12.
    Henson DE (1982) Heterogeneity in tumors. Arch Path Lab Med 106:597Google Scholar
  13. 13.
    Ibsen KH, Orlando RA, Garratt KN, Hernandez AM, Giorlando S, Nungaray G (1982) Expression of multimolecular forms of pyruvate kinase in normal, benign, and malignant human breast tissue. Cancer Res 42:888Google Scholar
  14. 14.
    Ikomi-Kumm J, Monti M, Wadsö I (1984) Heat production in human blood lymphocytes. A methodological study. Scand J Clin Lab Invest 44:745Google Scholar
  15. 15.
    Karnebogen M, Singer D, Kallerhoff M, Ringert R-H (1993) Microcalorimetric investigations on isolated tumorous and non-tumorous tissue samples. Thermochim Acta 229:147Google Scholar
  16. 16.
    Kleiber M (1967) Der Energiehaushalt von Mensch und Haustier. Parey, HamburgGoogle Scholar
  17. 17.
    Kovacevic Z, McGivan JD (1983) Mitochondrial metabolism of glutamine and glutamate and its physiological significance. Physiol Rev 63:547Google Scholar
  18. 18.
    Lönnbrö P, Schön A (1990) The effect of temperature on metabolism in 3T3 cells and SV40-transformed 3T3 cells as measured by microcalorimetry. Thermochim Acta 172:75Google Scholar
  19. 19.
    Lönnbrö P, Wadsö I (1991) Effect of dimethyl sulphoxide and some antibiotics on cultured human T-lymphoma cells as measured by microcalorimetry. J Biochem Biophys Methods 22:331Google Scholar
  20. 20.
    Luque P, Paredes JA, Segura I, de Castro N, Medina MA (1990) Mutual effect of glucose and glutamine on their utilization by tumor cells. Biochem Int 21:9Google Scholar
  21. 21.
    Macbeth RAL, Bekesi JG (1962) Oxygen consumption and anaerobic glycolysis of human malignant and normal tissue. Cancer Res 22:244Google Scholar
  22. 22.
    Maier G, Heissler HE, Blech M, Schröter W (1988) DNA-Profile, Rezidivrate und Progression beim oberflächlichen G2-Karzinom der Harnblase. Urologe A 27:173Google Scholar
  23. 23.
    Monti M, Wadsö I (1989) Isothermal microcalorimetry. International Hospital Federation. Hosp Manage Int:461Google Scholar
  24. 24.
    Monti M, Brandt L, Ikomi-Kumm J, Olsson H (1986) Microcalorimetric investigation of cell metabolism in tumor cells from patients with non-Hodgkin lymphoma (NHL). Scand J Haematol 36:353Google Scholar
  25. 25.
    Nittinger J, Tejmar-Kolar L, Stehle P, Essig H, Fürst P (1986) Mikrokalorimetrische Untersuchungen an Zellkulturen. Labor 2000:128Google Scholar
  26. 26.
    Rainwater LM, Farrow GM, Lieber MM (1986) Flow cytometry of renal oncocytoma: common occurrence of desoxyribonucleic acid polyploidy and aneuploidy. J Urol 135:1167Google Scholar
  27. 27.
    Siegenthaler W (1973) Klinische Pathophysiologie 2. Aufl. Georg Thieme, StuttgartGoogle Scholar
  28. 28.
    Singer D, Bach F, Bretschneider H-J, Kuhn H-J (1991) Microcalorimetric monitoring of ischemic tissue metabolism: influence of incubation conditions and experimental animal species. Thermochim Acta 187:55Google Scholar
  29. 29.
    Vaupel P, Kallinowski F, Okunieff P (1989) Blood flow, oxygen and nutrient supply and metabolic microenvironment of human tumors. A review. Cancer Res 49:6449Google Scholar
  30. 30.
    Warburg O, Minami S (1923) Versuche an überlebendem Carcinomgewebe. Klin. Wochenschrift 17:776Google Scholar
  31. 31.
    Weinhouse S (1972) Glycolysis, respiration, and anomalous gene expression in experimental hepatomas: G.H.A. Clowes memorial lecture. Cancer Res 32:2007Google Scholar
  32. 32.
    Zimmermann A (1982) Untersuchungen zur Automatisierung der Zytodiagnostik des Harnblasenkarzinoms. Urologe [A] 21:92Google Scholar
  33. 33.
    Zimmermann A, Truss F, Blech M, Schröter W, Barth M (1983) Bedeutung der Impulszytophotometrie für Diagnose und Prognose des Prostatakarzinoms. Urologe [A] 22:151Google Scholar

Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • M. Kallerhoff
    • 1
  • M. Karnebogen
    • 1
  • D. Singer
    • 2
  • A. Dettenbach
    • 1
  • U. Gralher
    • 1
  • R. -H. Ringert
    • 1
  1. 1.Department of UrologyGeorg-August UniversitätGöttingenGermany
  2. 2.Department of Pediatric MedicineGeorg-August UniversitätGöttingenGermany

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