Radiol Oncol 1999; 33(2): 127-36. Predictive assays of tumor response to chemo and radiotherapy Maja Cemazar Department of Tumor Biology, Institute of Oncology, Ljubljana, Slovenia Currently used predictive assays of treatment outcome of tumors treated by chemo- or radiotherapy and radiation damage of normal tissues are presented. This review is focused on the assays where tumor cells derived from the human tumors need to be cultured in in vitro conditions to perform the test. In addition, an overview of the clinical studies dealing with the correlation between predictive assays and treatment outcome or radiation damage to the normal tissues is given. Key words: neoplasms-drug therapy-radiotherapy; radiation injuries; treatment outcome Introduction The best treatment for a particular patient is based on a variety of factors predictive of the outcome of the therapy. In radiotherapy, these factors include tumour- and host- related factors, technical aspects of treatment and knowledge of the dose response relationship for tumour control and normal tissue injury. At present, the treatment plan is usually based on parameters such as tumour site, histology, stage, size, morphology, patterns of invasion of anatomical structures, location with regard to vulnerable normal tissues, and patient's performance status. Within these categories, some tumours show greater response to radiotherapy than others. If these Received 4 January 1999 Accepted 15 February 1999 Correspondence to: Maja Čemažar, Ph. D., Institute of Oncology, Zaloška 2, SI-1000 Ljubljana, Slovenia. Phone: +386 61 323 063; Fax: +386 61 13 37 410; E-mail: mcemazar@onko-i.si The paper was presented at: Seminar on cell cultures. Handling and trends. November 25, 1998, Ljubljana, Slovenia. were identified before treatment, alternative therapies offering a better chance of cure than the standard conventional therapy might be selected. Therefore, there is a need for additional (other, more specific) predictive assays, which will provide the information that can be useful in the selection of an optimal treatment protocol for each patient.1-3 An ideal predictive assay should, (a) correlate specifically with local tumour control, independently of other prognostic parameters, (b) be measurable precisely, (c) be relatively insensitive to sampling error, (d) be measurable quickly with regard to the initiation of treatment, (e) have low probability of falsely predicting resistance to conventional treatment, (f) be relatively harmless. The research in the field of predictive assays started almost 30 years ago with the investigation of the relationship between clinical and tissue culture response to chemother-apeutic agents of human cancer.4 After this first report, a lot of researchers started to 128 Cemazar M / Predictive assays work on the development of tests that would predict the response of tumors to a particular treatment. Current research in predictive assays can be divided into three categories; (a) Studies of intrinsic cellular radio- and chemo- sensitivity; (b) Detection and quantification of hypoxic cells in human tumours; (c) Tumour cell proliferation kinetics and ploidy (repopulation). Intrinsic radio- and chemo-sensitivity The research in predicting the outcome of treatment started with the development of methods which enable to grow in vitro human tumor cells.3 The described assays can be used for predicting the treatment outcome either after radiotherapy or after treatment with chemotherapuetic drugs. The differences in responses of particular tumors to treatment with drugs are usually larger than to treatment with radiation. Therefore, the use of predictive assays in chemotherapy would be highly beneficial for a particular patient. If the patients with a resistant disease could be identified before the initiation of treatment, the toxicity of ineffective treatment would be spared to them. Intrinsic radio- and chemo-sensitivity can be measured by survival, growth of cells, DNA damage and chromosome damage after treatment. Only colony forming assay which measures out the cell kill after a particular treatment, is a direct assay. All others tests, which measure either growth, DNA or chromosome damage, are indirect and measure the parameters which should correlate with cell kill. Survival The survival of cells is measured by colony forming, i.e. clonogenic assay. This assay is the gold standard for determination of treat- Radiol Oncol 1999; 33(2): 127-36. ment efficiency, since, with this test, the ability of tumor cells to proliferate is measured directly. From the theoretical point of view, the principle of this test is very simple. The cells have to be removed from the tumors, prepared as single cell suspension, placed into appropriate growth environment, and exposed to radiation or drugs. After certain period of time, depending on the growth rate of the tumor cells, the formed colonies are fixed, stained and counted. By comparing the number of colonies in the treated group with the number in the control group, the surviving fraction can be calculated. As a predictor of treatment outcome after radiotherapy, a surviving fraction at 2 Gy is commonly used, as this is a usual daily dose in clinical radio-therapy.5 Growth Since there are several practical problems associated with clonogenic assay, such as that not all human tumors can be grown in vitro and long duration of this test, alternative tests that measure the growth of the cells have been developed. The growth of the cells can be measured simply by counting the cells after certain period of time by means of dye-exclusion technique or by means of automated colorimetric assays. One of the examples of these assays is methyl tetrazolium test (MTT test), which estimates cell survival based upon the capacity of living cells to reduce a tetrazolium compound to a for-mazan crystals, a colored product that can be measured spectrophotometrically.6-7 The principle of this test is very similar to that of clonogenic assay. Cells are plated in microtiter plates and subjected to treatment. The difference between these tests is at the end of growth period, which is usually shorter in MTT assay than in the clonogenic assay. In the case of MTT assay, a substrate, methyl tetra-zolium compound, is added to the cells which are further incubated for approx. 3-4 hours. Cemainr M / Predictive assays 129 The formed formazan crystals are then dissolved in dimethyl sulfoxid and absorbance measured using microplate reader. The results of these assays show very good correlation with the clonogenic assay, therefore these assays represent a promising alternative to the clonogenic assay (Figure 1).6-7 ) Dose (Gy) Figure l. Survival curves for mouse fibrosarcoma cells SA-1 using MIT and clonogenic assay as a function of irradiation dose. Cells were irradiated in Petri dishes using Darpac 230 kV irradiation machine at a dose rate 2 Gy/min. For MIT test cells were transfer to microtiter plates and incubated for 7 days. After that period MIT test was performed. In clonogenic assay, colonies were fixed and stained 10 days after the irradiation (Cemazar unpublished data). DNA damage Another method used to determine intrinsic cellular sensitivity is based on measuring DNA damage. To assess DNA damage several test can be employed such as sucrose velocity sedimentation, filter elution, alkaline gel elec-trophoresis, membrane filtration, DNA precipitation, nucleoid sedimentation, alkaline unwinding, Halo, end tailing, viscoelastic and high performance liquid chromatography (HPLC), pulsed-field gel electrophoresis and single cell electrophoresis. The last two listed tests are the most promising test to be employed as a predictive one.8-13 However, the predictive value of these two assays has to be confirmed, since the results of several studies are controversial, some showing very strong correlation with the colony forming assay, and others the lack of it.11-13 The advantage of pulsed field gel electrophoresis is high sensitivity and specificity for measurement of DNA double strand breaks. The principle of pulsed field gel electrophoresis is as follows: the cells that have been taken from human tumor and treated are either radiolabelled before lysis and electrophoresis or stained with ethidium bromide after the elec-trophoresis. The advantage of pulsed field electrophoresis over the conventional one is that, by alternation of electric field the separation of DNA fragments is improved. This technique is therefore especially suitable for separation of large DNA fragments up to 12Mbp. If the DNA molecule of a known molecular weight is used as calibration, the separation of DNA from irradiated cells can be subsequently translated into a measure of strand breaks.9-^ Single cell electrophoresis (comet assay) is also widely studied for potential use as a predictive assay. The advantage of this assay is that we can monitor the response of a single cell to treatment and thus the problem of tumor or normal cell specificity may be overcome. The basis of this test is first to embed the cells into low-density agarose gel on a microscope slide. Then, the cells are lysed and subjected to electrophoresis. The broken DNA molecules migrate away from the general mass of DNA towards to anode and produce a typical feature which is called "comet". Variations in lysis conditions allow us to detect single and double DNA strand breaks, cross links and base damaged12,13 Chromosome damage One of the most obvious effects of radiation is chromosome damage. It has been demonstrated that certain chromosome changes 6 8 0 2 4 Radiol Oncol 1999; 33(2): 127-36. 130 Cemazar M / Predictive assays such as deletion of substantial part of chromosome lead to cell death. Therefore, the measurements of chromosome damage are another possible approach to measure intrinsic cellular sensitivity. The conventional technique to asses chromosome damage is the preparation of the karyotype of cells that have been exposed to radiation in ex vivo conditions and count the aberrations.14 Chromosomes are conventionally examined during metaphase. When chromosomal samples (karyotype) are prepared the colhicine or related agents that disrupt the formation of mitotic spindle fibres are added to arrest the cells in metaphase. The cells are then further exposed to hypotonic solution, fixed, placed on microscope slide and stained. Another test used for the measurement of chromosome damage is micronucleus assay.15-19 Micronuclei arise from acentric chromatide or chromosome fragments induced by drugs or irradiation. In diploid cells, the presence of micronuclei signals cell death. The basis of this test is, first, to culture the cells after their exposure to drugs or radiation in the presence of cytochalasine B, the drug which in appropriate concentration allow karyokinesis, but inhibits cytokinesis. After that, the cells are fixed on the microscope slide and stained. Micronuclei can be counted by means of microscope (Figure 2). Some studies have shown very good correlation of the micronucleus assay with the cell kill measured by colony forming assay, and some have not.15-20 Therefore, the use of this assay as a possible predictor of tumor response have to be validated in further in vitro studies and also correlated with treatment outcome in clinical studies. The newer techniques employed for measuring chromosome damage are premature chromosome condensation and fluorescence in situ hybridization (FISH technique).14- 21 -23 When the interphase cell is fused with a cell in mitosis, it undergoes a process of premature chromosome condensation in which chromosomes become visible. The mitotic cell can be of different type and its chromatin can be labelled with BrUdR so that, in binucleat-ed fusion product, it is possible to identify the chromosome of target cell. The advantage of this technique is that it is very quick. It enables the scoring of breaks in chromatin within 10-15 minutes after irradiation and also the speed of their rejoining.21- 22 The analysis of chromosome damage has been greatly facilitated by the development of specific probes (chromosome-specific lengths of DNA) that can be used in FISH. In this technique the chromosomes of target cell are fixed on microscope slide after exposure of cells to irradiation and heated to the level that much of their DNA becomes single stranded and incubated in the presence of labelled probes. The probes bind to the regions of chromosome DNA with which they are homologous. The bound probe is then detected with a fluorescent ligand which binds to the probe and which can be seen under fluorescence microscope^4-21-23 FISH technique has the following advantages over other techniques of measuring chromosomal damage: it is highly sensitive and requires small samples of tissue. Gene expression after drug or radiation treatment Cell death after therapy occurs by at least three mechanisms: apoptosis, necrosis and reproductive cell death. There are numerous genes that are associated with the cell response to agents and radiation. The development of techniques in molecular biology, which enables rapid assessment of gene expression and mutation, have stimulated an increasing number of reports dealing with correlation of molecular parameters with treatment outcome and prognosis.24-26 The screening of mutations in genes that are involved in radio and chemo resistance, cell Radiol Oncol 1999; 33(2): 127-36. Cemainr M / Predictive assays 131 Figure 2. Presence of micronuclei in binucleated lymphocytes taken from nurses, occupationally exposed to chemother-apeutic drugs.(a) signal-positive micronucleus stained with DAPI, (b) signal-negative micronucleus stained with DAPI, (c) cell with two Ag-NOR- and one Ag-NOR+ micronuclei after silver staining, (d) Ag-NOR+ micronucleus with two sig nals after silver staining. From Garaj-Vrhovac et at. (1998) with permission.19 if 0 0 i proliferation and repopulation, inflammatory response (growth factors), vascular damage, together with the cell cycle checkpoint and apoptosis genes could be, in future, one of the possibility to help predicting the sensitivity of human tumours to treatment with drugs or radiation therapy and also for predicting the radiation induced damage to normal tissues.24 At present, at least five genes influencing radiation sensitivity were cloned, viz. Ku70, Ku80, SCID, XRCC4 and ATM gene.27 In the area of chemotherapy, expression of multidrug resistance mdr genes can be measured and correlated with treatment outcome.28 Hypo:xia The evidence that tumor hypoxia can reduce the efficiency of radiotherapy was provided a long time ago.29 The identification of hypoxic tumors before the initiation of radiotherapy is now feasible with new quick and reliable techniques.1-30-34 The methods to detect hypoxia in human tumours are the following; Radiol Oncol 1999; 33(2): 127-36. 132 Cemazar M / Predictive assays • Polarographic measurements using oxygen electrodes; • Autoradiographic detection of radiolabeled misonidazole or its analogues which selectively bind to hypoxic cells; • The detection of fluorine-labelled misonida-zole or its derivates using positron-emission tomography; • The detection of 123I-labelled nitroimida-zoles by external scanning; • Immunohistochemistry or detection by flow cytometry of nitroimidazole compounds; • Non-invasive determination of oxygen distribution in tumours using magnetic resonance techniques; • Invasive determination of oxygen using a flurophore-tipped optical fibre (0.2 mm diameter) where the change in fluorescence lifetime, resulting from quenching of the fluorescence by oxygen, is measured in real time. Tumor cell kinetics The third category in predictive assays, that is subjected to extensive research, is tumor cell repopulation. The evidence for the importance of repopulation during radiotherapy has been obtained by the analysis of clinical data and measurements of the kinetics of cell proliferation in human tumour biopsies. Tumor cell proliferation can be measured by the use of radioactive precursors of DNA such as tritiated thymidine (3HTdR) and autoradiographic detection of radiolabelled 3HTdR in cells or tissue sections, by measuring total DNA content and iodo- or bromod-eoxyuridine (IUdR or BrUdR) uptake using flow cytometry, or by detection of BrUdR-labelled cells on frozen sections or slides.35-37 In addition, proliferation status of tumors can be detected by staining tumor section with proliferation dependent antibodies, such as Ki67 (proliferation associated protein) and proliferating cell nuclear antigen (PCNA).38-39 When the cell proliferation is measured by flow cytometry, labelling index (LI; proportion of cells within S phase) and potential doubling time (Tp0t; doubling time of clono-genic cells in the assumed absence of cell loss) can be determined.37 Correlation with treatment outcome In general, the results of predictive assays showed a good correlation with treatment outcomes in different types of tumors. In the case of intrinsic radiosensitivity, the survival at 2 Gy (SF2) of carcinoma of the cervix correlated with both, local tumor control and survival of patients after treatment with radiotherapy.40 However, for head and neck squamous cells carcinoma, this correlation was not demonstrated.41-43 Correlation of in vih'o drug sensitivity testing with response to chemotherapy showed that, in the case of small and non-small cell lung cancer, there was no correlation.44 On the other hand, strong correlation of 3H-uridine uptake assay and clinical response in patients with metastatic breast cancer was noted.45 In a study of Klumper et al, MTT assay was used to assess the chemosensitivity in childhood acute non-lymphoblastic leukemia. Among the drugs tested, the only failures of chemotherapy in these patients were found to be due to the resistance to cytosine arabi-noside.46 The role of micronucleus assay in predicting response to radiotherapy was demonstrated on 11 tumors of different origin. The tumors that produced more micronu-clei after irradiation of cells in vitro showed better response to radiotherapy.18 In cervical cancer, it has been demonstrated by several authors that oxygenation of tumors can predict radiation response and survival of patients.47'48 In a study of Fylers et al., it was shown that p02 reading below 5 mmHg as well as tumor size are significant prognostic factor in an univariate analysis of disease-free survival of patients with cervical Radiol Oncol 1999; 33(2): 127-36. Cemainr M / Predictive assays 133 cancer.48 In head and neck tumors, the differences in p02 measurements were observed between tumors and, for the majority of 35 tumors included in the study, the values of PO2 were lower than that of normal tissue. However, there was no correlation with the treatment outcome, probably due to the limited number of patients included in that study.41 The Tp0t as a predictor of tumor response to therapy did not prave its usefulness. In a study of Begg et al. as well in the study of Eshwege et al., it was demonstrated that Tpot did not predict the treatment outcome of patients with head and neck carcinoma. However, LI showed to be more promising as a predictor of tumor response in head and neck tumors.41'49-52 Proliferation marker Ki67 showed to be associated with recurrent disease and PCNA with prediction of survival in patients with laryngeal cancer.38 Radiation induced damage to normal tissues Besides measurement of intrinsic radiosensi-tivity of tumor cells, several studies were also dealing with the response of normal tissue to radiotherapy and its use as a predictor of normal tissue complications after radiotherapy. Currently, the doses used in a conventional treatment are determined primarily by the most sensitive patients. Therefore, if a predictive assay that would recognise sensitive patients prior to the treatment could be developed, the doses given to those patients could be reduced and, consequently, the risk of severe complications could also be reduced. On the other hand, the doses given to more resistant patients could be increased to achieve an improved tumor control. It has been already recognised that at identical treatment regimens, the reactions of the normal tissues to treatment are more severe in some patients than in others. This is not due only to the interpatient difference in tissue physiology and biology or genetically based difference in radiosensitivity, but also to the physical parameters, such as dosimetry (differences in the actual radiation dose delivered to the target cells of the normal tissue), treatment volume (irradiation volume of normal tissue vary with tumour size) and Poisson statistics (critical levels of "Tissue rescuing unit").37'53 To predict the susceptibility to radiation damage, the same predictive assays as for the treatment outcome can be applied. Most of the current studies involve the measurements of colony formation, chromosome damage, counting of micronuclei, measurement of differentiation and DNA damage in fibroblasts or lymphocytes. Some studies indicate that a significant therapeutic gain could be achieved for a subset of patients from the use of the predictive assay of normal tissue radiosensi-tivity.15' 54-59 However, further validations of these results are needed on larger groups of patients. Conclusion Despite numerous predictive assays available at the time, their use has neither been widely accepted nor integrated into at least some aspects of the care of patients with cancer. There are several problems associated with predictive assays: not all patients' tumours can be grown in vitro, quality control, mimicking the in vivo pharmacokinetics of drugs in in vitro cell cultures, and long duration of clonogenic assay. Most of the problems have been solved with new in vitro predictive assays such as FISH assay for intrinsic cellular sensitivity or use of compounds that binds selectively to hypoxic cells, which will probably lead into clinical practice, hopefully in near future. Radiol Oncol 1999; 33(2): 127-36. 134 Cemazar M / Predictive assays Acknowledgement This work was supported by the Ministry of Science and Technology of the Republic of Slovenia References 1. Peters LJ, Brock WA, Chapman JD Wilson G. Predictive assay of tumor radiocurability. Am J Clin Oncol; 1988; 11: 275-87. 2. West CML. Invited review: Intrinsic radiosensitiv-ity as a predictor of patient response to radiotherapy. Br J Radiol 1995; 68: 827-37. 3. Von Hoff DD. He's not going to talk about in vitro predictive assays again, is he? j Natl Cancer Inst 1990; 82: 96-101. 4. Wright JL, Cobb JP, Gumport SL et al. Investigation of the relation between clinical and tissue culture response to chemotherapeutic agents of human cancer. N Engl J Med 1957; 252: 1207-11. 5. Steel GG. Clonogenic cells and the concept of celi survival. In: Steel GG, editor. Basic Clinical Radiobiology. New York: Arnold , London & Oxford University Press; 1997. p. 40-51. 6. Carmichael J, DeGraff WG, Gazdar AF, Minna JD, Mitchell JB. Evaluation of a tetrazolium-based semiautomated colorimetric assay: Assessment of radiosensitivity. Cancer Res 1987; 47: 943-6. 7. Wasserman TH, Twentyman P. Use of colorimetric microtiter (MTT) assay in determining the radiosensitivity of the cells from a murine tumours. Int J Radial Oncol 1988; 15: 699-702. 8. Poller F, Bauch T, Sauerwein W, Bocker W, Wittig A, Streffer C. Comet assay study of DNA damage and repair of tumour cells following boron neutron capture irradiation with fast d(14)+Be neutrons. Int J Radiat Biol 1996; 70: 593-602. 9. Whitaker SJ, Ung YC, McMillan TJ. DNA double strand breaks induction and rejoining as determinants of human tumour celi radiosensitivity. A pulsed field gel electrophoresis study. Int J Radiat Biol 1995; 67: 7-18. 10. Whitaker SJ, Powell SN, McMillan TJ. Molecular assays of radiation induced DNA damage. Eur J Cancer 1991; 27: 922-8. 11. Wurm R, Burnet NG, Duggal N, Yarnold JR. Peacock JH. Cellular radiosensitivity and DNA damage in primary human fibroblasts. Int J Radial Oncol Biol Phys 1994; 30: 625-33. 12. Sarkaria JN, Bush C, Eady JJ, Peacock JH, Steel GG, Yarnold JR. Comparison between pulsed-field gel electrophoresis and the comet assay as a predictive assays for radiosensitivity in fibroblasts. Radiat Res 1998; 150: 17-22. 13. Olive PL, BanathJP. Multicell spheroid response to drugs predicted with the comet assay. Cancer Res 1997; 57: 5528-33. 14. Sheer D. Chromosomes and cancer. In: Franks LM, Teich NM, editors. Introduction to the Cellular and Molecular Biology of Cancer. New York: Oxford University Press; 1997. p 202-29. 15. Johansen J, Streffer C, Furmann C, Bentzen SM, Strasbol-Gron B, Overgaard M, et al. Radiosensiti-vity of normal fibroblasts from breast cancer patients assessed by the micronucleus and colony assays. Int J Radiat Biol 1998; 73: 671-8. 16. Masunaga S, Ono K, Hori H, Shibata T, Suzuki M, Kinashi Y, et al. Effects of bioreductive agents, tira-pazamine and mitomycin C, on quiescent celi populations in solid tumors, evaluated by micronucle-us assay. ]pn J Cancer Res 1997; 88: 907-14. 17. Muller WU, Nusse M, Miller BM, Slavotinek A, Viaggi S, Streffer C. Micronuclei: a biological indicator of radiation damage. Mutat Res 1996; 366: 163-9. 18. Shibamoto Y, Shibata T, Miyatake S, Oda Y, Manabe T, Ohshio G, et al. Assessment of the pro-liferative activity and radiosensitivity of human tumours using the cytokinesis-block micronucle-us-assay. Br J Cancer 1994; 70: 67-71. 19. Garaj-Vrhovac V, Kopjar N. Micronuclei in cytokinesis-blocked lymphocytes as an index of occupational exposure to antineoplastic drugs. Radiol Oncol 1998; 32: 385-92. 20. Abend M, Rhein A, Gilbertz KP, Blakely WF, Van Beuningen D. Correlation of micronucleus and apoptosis assay with reproductive celi death. Int J Radiat Biol 1995; 67: 315-26. 21. Coco-Martin JM, Begg AC. detection of radiation-induced chromosome aberrations using fluorescence in situ hybridization in drug-induced premature chromosome condensations of tumour celi lines with different radiosensitivities. Int J Radiat Biol 1997; 71: 265-73. 22. Coco-Martin JM, Ottenheim CPE, Bartelink H, Radiol Oncol 1999; 33(2): 127-36. Cemainr M / Predictive assays 135 Begg AC. Lethality of radiation-induced chromosome abberations in human tumour cell lines with different radiosensitivities. Int J Radiat Biol 1996; 69: 337-44. 23. Begg AC, Russell NS, Ottenheim CPE, Mooren E, Balm AF, Bartelink H, et al. What can we learn from FISH and chromosome damage that other techniques won't tell us? In: Kogelnik HD, Sedlmayer F, editors. Progress in Radio-Oncology VI, Bologna: Monduzzi Editore; 1998. p. 491-500. 24. Hallahan DE. Radiation-mediated gene expression in the pathogenesis of the clinical radiation response. Sem Radiat Oncol 1996; 6: 250-267. 25. Franks LM, Teich NM. Introduction to the Cellular and Molecular Biology of Cancer. New York: Oxford University Press; 1997. 26. Rocques PJ. Techniques of molecular biology. In: Yarnold J, Stratton M, McMillan T, editors. Molecular Biology far Oncologists. Amsterdam: Elsevier Science Publishers B.V.; 1993. p. 307-16. 27. McMillan TJ. Genetic control of the cellular response to ionizing radiation. In: Steel GG, editor. Basic Clinical Radiobiology. New York: Arnold, London & Oxford University Press; 1997. p. 70-7. 28. I-Iochhauser D. The molecular biology of drug resistance. In: Yarnold J, Stratton M, McMillan T, editors. Molecular Biology for Oncologists. Amsterdam: Elsevier Science Publishers B.V.; 1993. p. 239-48. 29. Thomlinson RH, Gray LH. The histological structure of some human Jung cancers and the possible implications for radiotherapy. Br J Cancer 1955; 9: 539-49. 30. Kavanagh MC, Sun A, Hu Q, Hill RP. Comparing techniques of measuring tumor hypoxia in different murine tumors: Eppendorf pO2 histograph, [3H] Misonidazole binding and paired survival assay. Radiation Res 1996; 145: 491-500. 31. Rofstad EK, DeMuth P, Fenton BM, Ceckler TL, Sutherland RM. 31P NMR spectroscopy and HbO2 cryospectrophotometry in prediction of tumor radioresistance caused by hypoxia. Int J Radiat Oncol Biol Phys 1989; 16: 919-23. 32. I-Iodgkiss RJ, Webster L, Wilson GD. Development of bioreductive markers for tumour hypoxia. Acta Oncol 1995; 34: 351-5. cence-based optical sensor. Radiat Res• 1997; 147: 329-34. 34. Chapman JD, Engelhardt EL, Stobbe CC, Schneider RF, Hanks GE. Measuring hypoxia and predicting tumor radioresistance with nuclear medicine assays. Radiother Oncol 1998; 46: 229-37. 35. Werner BE, Ran S. The 5-Bromo-2'-deoxy-uridine labelling and detection kit III: A non-radioactive ELISA measuring DNA synthesis in endothelial cells. Biochimica 1995; 4: 37-9. 36. Begg AC. Cell proliferation in tumours. In: Steel GG, editor. Basic Clinical Radiobiology. New York: Arnold , London & Oxford University Press; 1997. p. 14-23. 37. Begg AC. Individualization of radiotherapy. In: Steel GG, editor. Basic Clinical Radiobiology. New York: Arnold , London & Oxford University Press; 1997. p. 234-45. 38. Welkoborsky HJ, Hinni M, Dienes HP, Mann WJ. Predicting recurrence and survival in patients with laryngeal cancer by means of DNA cytometry, tumor front grading, and proliferation markers. Ann Otol Rhinol Laryngol 1995; 104: 503-10. 39. Iatropulus MJ, Williams GM. Proliferation markers. Exp Toxicol Pathol 1996; 48: 175-81. 40. West CM, Davidson SE, Roberts SA, Hunter RD. The independence of intrinsic radiosensitivity as a prognostic factor for patient response to radiotherapy of carcinoma of the cervix. Br J Cancer 1997; 76: 1184-90. 41. Eschwege F, Bourhis J, Girinski T, Lartigau E, Guichard M, Deble D, et al. Predictive assays of radiation response in patients with head and neck squamous cell carcinoma: A review of the Institute Gustave Roussy experience. Int J Radiat Oncol Biol Phys 1997; 39: 849-53. 42. Brock WA, Baker FL, Peters LJ. Radiosensitivity of human head and neck squamous celi carcinomas in primary culture and its potential as a predictive assay of tumor radiocurability. Int J Radiat Biol 1989; 56: 751-60. 43. Brock WA, Baker FL, Wike JL, Sivon SL, Peters LJ. Cellular radiosensitivity of primary head and neck squamous cell carcinomas and local tumor control. Int J Radiat Oncol Biol Phys 1990; 18: 1283-6. 33. Collingridge DR, Young WK, Vojnovic B, Wardman P, Lynch EM, Hill SA, et al. Measurement of tumor oxygenation: A comparison between polarographic needle electrodes and a time-resolved lumines- 44. Shaw GL, Gazdar AF, Phelps R, Steinberg SM, Linnoila RI, Johnson BE, et al. Correlation of the in vitro drug sensitivity testing results with response to chemotherapy and survival: Comparison of Radiol Oncol 1999; 33(2): 127-36. 136 Cemazar M / Predictive assays non-small cell lung cancer and small cell lung cancer. J Cell Biochern Suppl 1996; 24: 173-85. 45. Elledge RM, Clark GM, Hon J, Thant M, Belt R, Maguire YP, et al. Rapid in vitro assay for predicting response to fluorouracil in patients with metastatic breast cancer. J Clin Oncol 1995; 13: 419-23. 46. Klumper E, Pieters R, Kaspers GJ, Huisrnans DR, Loonen AH, Rottier MM, et al. In vitro chernosen-sitivity assessed with the MTT assay in childhood acute non-lymphoblastic leukemia. Leukemia 1995; 9: 1864-9. 47- Hockel M, Vorndran B, Schlenger K, Baubmann E, Knapstein PG. Tumor oxygenation: A new predictive parameter in locally advanced cancer of the uterine cervix. Gynecol Onco/ 1993; 51: 141-50. 48. Fyles AW, Milosevic M, Wong R, Kavanagh MC, Pintilie M, Sun A, et al. Oxygenation predicts radiation response and survival in patients with cervix cancer. Radiother Oncol 1998; 48: 149-56. 49. Begg AC, Hofland 1, Moonen L, Bartelink H, Schraub S, Bontemps P, et al. The predictive value of celi kinetic measurements in a European trial of accelerated fractionation in advanced head and neck tumours: and interim report. lui J Radiat Oncol Biol Phys 1990; 19: 1149-53. 50. Begg AC. The clinical status of Tp0t as a predictor? or why no tempest in the T? hit J Radiat Oncol Biol Pliys 1995; 32: 1539-41. 51. Begg AC. Prediction of repopulation rates and radiosensitivity in human tumours. lut J Radiat Biol 1994; 65: 103-8. 52. Antognoni P, Terry NHA, Richetti A, Lauraghi R, Tordiglione M, Danova M. The predictive role of flow-cytometry derived tumor potential doubling time (Tp0l) in radiotherapy: Open questions and future perspectives. lnt J Oncol 1998; 12: 245-56. 53. Tucker SL, Geara FB, Peters LJ, Brock WA. How much could the radiotherapy dose be altered for individual patients based on a predictive assay of normal-tissue radiosensitivity? Radiother Oncol 1996; 38: 103-13. 54. Burnet NG, Nyman J, Turesson 1, Wurm R, Yarnold JR, Peacock JH. The relationship between cellular radiation sensitivity and tissue response may provide the basis for individualising radiotherapy schedules. Radiother Oncol 1994; 33: 228-38. 55. Burnet NG, Wurm R, Peacock JH. Low dose-rate fibroblast radiosensitivity and the prediction of patient response to radiotherapy. Int J Radiat Biol 1996; 70: 289-300. 56. Russell NS, Grummels A, Hart AM, Smolders 1JH, Borger J, Bartelink H, et al. Low predictive value of intrinsic fibroblast sensitivity for fibrosis development following radiotherapy for breast cancer. Int J Radiai Biol 1998; 73: 661-70. 57. Geara FB, Peters LJ, Ang KK, Wike JL, Brock WA. Prospective comparison of in vitro normal cell radiosensitivity and normal tissue reactions in radiotherapy patients. lnt J Radiat Oncol Biol Phys 1993; 27: 1173-9. 58. Begg AC, Russell NS, Knaken H, Lebesque JV. Lack of correlation of human fibroblast radiosen-sitivity in vitro with early skin reactions in patients undergoing radiotherapy. lilt] Radiat Biol 1993; 64: 393-405. 59. Brock WA, Tucker SL, Geara FB, Turesson I, Wike J, Nyman J, et al. Fibroblastradiosensitivity versus acute and late normal skin responses in patients treated for breast cancer. Jnt J Oncol Biol Pltys 1995; 32: 1371-9. Radiol Oncol 1999; 33(2): 127-36.