Literature DB >> 12237245

In vitro assay-assisted treatment selection for women with breast or ovarian cancer.

J P Fruehauf1.   

Abstract

The selection of chemotherapy for women with breast or ovarian carcinoma has been traditionally based on results from phase III comparative trials that define the most active drugs and drug combinations. This approach has led to a significant prolongation of the lives of these patients. Unfortunately, few patients with advanced stage IV disease are cured using the currently available regimens. In order to improve the selection process for individual patients, various types of in vitro tests that assess the activity of standard drugs on a patient's tumor have been developed over the past five decades. As with bacterial culture and sensitivity tests, significant predictive correlations between in vitro drug-response assays and cancer patient response and survival have been demonstrated. Medicare currently covers in vitro drug-resistance assays. This review discusses the historical development of in vitro drug-response assays and the clinical validation of various technologies currently available to assist the clinician in selecting the optimal therapy for each patient.

Entities:  

Mesh:

Year:  2002        PMID: 12237245     DOI: 10.1677/erc.0.0090171

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  13 in total

Review 1.  Response evaluation in head and neck oncology.

Authors:  Robert Mandic; Jochen A Werner
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-04       Impact factor: 2.503

2.  In vitro extreme drug resistance assay to taxanes or platinum compounds for the prediction of clinical outcomes in epithelial ovarian cancer: a prospective cohort study.

Authors:  Hee Seung Kim; Tae Joong Kim; Hyun Hoon Chung; Jae Weon Kim; Byung Gie Kim; Noh Hyun Park; Yong Sang Song; Duk Soo Bae; Soon Beom Kang
Journal:  J Cancer Res Clin Oncol       Date:  2009-05-16       Impact factor: 4.553

3.  Assay-based response evaluation in head and neck oncology: requirements for better decision making.

Authors:  Andreas Dietz; Andreas Boehm; Iris-Susanne Horn; Pierre Kruber; Ingo Bechmann; Wojciech Golusinski; Dietger Niederwieser; Ralph Dollner; Torsten W Remmerbach; Christian Wittekind; Stephan Dietzsch; Guido Hildebrandt; Gunnar Wichmann
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-01-06       Impact factor: 2.503

4.  Predicting drug pharmacokinetics and effect in vascularized tumors using computer simulation.

Authors:  John P Sinek; Sandeep Sanga; Xiaoming Zheng; Hermann B Frieboes; Mauro Ferrari; Vittorio Cristini
Journal:  J Math Biol       Date:  2008-09-10       Impact factor: 2.259

Review 5.  Pharmaceutical management of ovarian cancer : current status.

Authors:  Maurie Markman
Journal:  Drugs       Date:  2008       Impact factor: 9.546

6.  In vitro chemosensitivity in ovarian carcinoma: Comparison of three leading assays.

Authors:  Burak Tatar; Gökhan Boyraz; İlker Selçuk; Alper K Doğan; Alp Usubütün; Zafer Selçuk Tuncer
Journal:  J Turk Ger Gynecol Assoc       Date:  2016-01-12

7.  Prediction of drug response in breast cancer using integrative experimental/computational modeling.

Authors:  Hermann B Frieboes; Mary E Edgerton; John P Fruehauf; Felicity R A J Rose; Lisa K Worrall; Robert A Gatenby; Mauro Ferrari; Vittorio Cristini
Journal:  Cancer Res       Date:  2009-04-14       Impact factor: 12.701

Review 8.  Personalized in vitro cancer models to predict therapeutic response: Challenges and a framework for improvement.

Authors:  Molly M Morgan; Brian P Johnson; Megan K Livingston; Linda A Schuler; Elaine T Alarid; Kyung E Sung; David J Beebe
Journal:  Pharmacol Ther       Date:  2016-05-21       Impact factor: 12.310

Review 9.  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

Review 10.  Breast cancer cell lines: friend or foe?

Authors:  Sarah E Burdall; Andrew M Hanby; Mark R J Lansdown; Valerie Speirs
Journal:  Breast Cancer Res       Date:  2003-02-03       Impact factor: 6.466

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