Literature DB >> 8431897

Chemosensitivity testing in ovarian cancer.

B U Sevin1, J P Perras, H E Averette, D M Donato, M Penalver.   

Abstract

Most patients with ovarian cancer currently are treated primarily with surgery and chemotherapy. Drug selection usually is not based on individualized in vitro sensitivity studies but on reported response rates of clinical trials. Attempts to include in vitro chemosensitivity testing into the management of ovarian cancer have been disappointing to clinicians. Tumor cells from fresh human ovarian cancer do not grow well under artificial in vitro growth conditions. The selection of cells that happen to proliferate in vitro (e.g., human tumor clonogenic assay) has resulted in low plating efficiencies (0.001-0.1% of plated cells). The vigorous mechanical and enzymatic tumor disaggregation, done to obtain a single-cell suspension, further reduces the number of cells that grow in vitro, resulting in low overall evaluability rates of 40-70% for the human tumor clonogenic assay. At the University of Miami, a new in vitro chemosensitivity assay was developed that detected the decrease in total tumor cell viability by measuring intracellular adenosine triphosphate as a function of in vitro drug response. Preliminary data on 31 tumor tissues from patients, which was evaluated with this method, showed a sensitivity of 92% and a specificity of 100%. Since these initial studies, data were gathered on more than 150 fresh gynecologic tumor specimens to evaluate single drugs and drug combinations at five concentrations (range, 10-500% of reported peak plasma concentrations). The evaluability rate for ovarian tumors was more than 90%. Some tumors showed almost complete cell kill at the lowest drug concentration; others had only a limited response at the highest level. Drug-response patterns also were variable for combined drug exposure. These findings underscore the heterogeneity of drug response in morphologically similar tumors and the importance of characterizing individual chemosensitivity profiles for patients before drug treatment.

Entities:  

Mesh:

Year:  1993        PMID: 8431897     DOI: 10.1002/cncr.2820710428

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  7 in total

1.  The establishment of sublines with opposite chemosensitivity from a patient with pulmonary large cell carcinoma and the implementation of treatment based on tumor heterogeneity.

Authors:  S Kobayashi; S Okada; T Hasumi; N Sato; S Fujimura
Journal:  Surg Today       Date:  1999       Impact factor: 2.549

Review 2.  In vitro chemosensitivity testing and mechanisms of drug resistance.

Authors:  K Tewari; A Manetta
Journal:  Curr Oncol Rep       Date:  1999-09       Impact factor: 5.075

3.  Assessment of effect of photosensitizers on cytotoxicity of photodynamic therapy in human breast cancer cell cultures.

Authors:  O R Koechli; G N Schaer; V Schenk; U Haller; H Walt
Journal:  Arch Gynecol Obstet       Date:  1995       Impact factor: 2.344

4.  Characteristics of the combination paclitaxel plus doxorubicin in breast cancer cell lines analyzed with the ATP-cell viability assay.

Authors:  O R Koechli; B U Sevin; J P Perras; T C Chou; R Angioli; A Steren; M Untch; H E Averette
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

5.  A technology platform to assess multiple cancer agents simultaneously within a patient's tumor.

Authors:  S Bahram Bahrami; Beryl A Hatton; Richard A Klinghoffer; Jason P Frazier; Alicia Moreno-Gonzalez; Andrew D Strand; William S Kerwin; Joseph R Casalini; Derek J Thirstrup; Sheng You; Shelli M Morris; Korashon L Watts; Mandana Veiseh; Marc O Grenley; Ilona Tretyak; Joyoti Dey; Michael Carleton; Emily Beirne; Kyle D Pedro; Sally H Ditzler; Emily J Girard; Thomas L Deckwerth; Jessica A Bertout; Karri A Meleo; Ellen H Filvaroff; Rajesh Chopra; Oliver W Press; James M Olson
Journal:  Sci Transl Med       Date:  2015-04-22       Impact factor: 17.956

Review 6.  Ex vivo programmed cell death and the prediction of response to chemotherapy.

Authors:  Robert A Nagourney
Journal:  Curr Treat Options Oncol       Date:  2006-03

Review 7.  Prediction of individual response to anticancer therapy: historical and future perspectives.

Authors:  Florian T Unger; Irene Witte; Kerstin A David
Journal:  Cell Mol Life Sci       Date:  2014-11-12       Impact factor: 9.261

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.