Literature DB >> 12528805

Assay-assisted treatment selection for women with breast or ovarian cancer.

John P Fruehauf1, David S Alberts.   

Abstract

Although women suffering from advanced cancer of the breast or ovary are unlikely to be cured, several active agents are available that can prolong their lives. The use of these agents is based on demonstrated benefit in large randomized clinical trials, and the clinical activity of these chemotherapy regimens is initially high, with 60%-70% of patients responding. Unfortunately, their benefit in the second-line setting is often limited, with less than 30% of patients showing significant disease response. Thus some 70% of patients may undergo ineffective treatment during the course of their disease, while still suffering from significant chemotherapy-related toxicity. Having some foreknowledge of a given agent's expected result before its administration would therefore benefit the individual patient. In vitro drug response testing, first developed to assist in the selection of antibiotics for patients with bacterial infections, has recently been demonstrated to accurately predict how cancer patients will respond to chemotherapy. This review discusses the historical development of in vitro testing for cancer patients, some of the pitfalls encountered, and offers an assessment of their current utility. Results of various clinical trials that evaluated correlations between in vitro tumor response and clinical outcomes are described. These data suggest that in vitro drug response assays can accurately predict drug resistance and can identify patients who are more or less likely to benefit from a given agent.

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Year:  2003        PMID: 12528805     DOI: 10.1007/978-3-642-19022-3_12

Source DB:  PubMed          Journal:  Recent Results Cancer Res        ISSN: 0080-0015


  5 in total

1.  Reliability of tumor primary cultures as a model for drug response prediction: expression profiles comparison of tissues versus primary cultures from colorectal cancer patients.

Authors:  Gregory Lucien Bellot; Wei Han Tan; Ling Lee Tay; Dean Koh; Xueying Wang
Journal:  J Cancer Res Clin Oncol       Date:  2011-12-21       Impact factor: 4.553

2.  A BTB/POZ protein, NAC-1, is related to tumor recurrence and is essential for tumor growth and survival.

Authors:  Kentaro Nakayama; Naomi Nakayama; Ben Davidson; Jim J-C Sheu; Natini Jinawath; Antonio Santillan; Ritu Salani; Robert E Bristow; Patrice J Morin; Robert J Kurman; Tian-Li Wang; Ie-Ming Shih
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-27       Impact factor: 11.205

3.  Personalized chemotherapy profiling using cancer cell lines from selectable mice.

Authors:  Hirohiko Kamiyama; Sherri Rauenzahn; Joong Sup Shim; Collins A Karikari; Georg Feldmann; Li Hua; Mihoko Kamiyama; F William Schuler; Ming-Tseh Lin; Robert M Beaty; Balasubramanyam Karanam; Hong Liang; Michael E Mullendore; Guanglan Mo; Manuel Hidalgo; Elizabeth Jaffee; Ralph H Hruban; H A Jinnah; Richard B S Roden; Antonio Jimeno; Jun O Liu; Anirban Maitra; James R Eshleman
Journal:  Clin Cancer Res       Date:  2013-01-22       Impact factor: 12.531

Review 4.  A literature review of molecular markers predictive of clinical response to cytotoxic chemotherapy in patients with breast cancer.

Authors:  Ikuo Sekine; Chikako Shimizu; Kazuto Nishio; Nagahiro Saijo; Tomohide Tamura
Journal:  Int J Clin Oncol       Date:  2009-04-24       Impact factor: 3.402

Review 5.  Tumor Chemosensitivity Assays Are Helpful for Personalized Cytotoxic Treatments in Cancer Patients.

Authors:  Engin Ulukaya; Didem Karakas; Konstantinos Dimas
Journal:  Medicina (Kaunas)       Date:  2021-06-19       Impact factor: 2.430

  5 in total

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