Literature DB >> 26891934

Significance of Various Experimental Models and Assay Techniques in Cancer Diagnosis.

Raksha Ghanghoria1, Prashant Kesharwani2, Narendra K Jain1.   

Abstract

The experimental models are of vital significance to provide information regarding biological as well as genetic factors that control the phenotypic characteristics of the disease and serve as the foundation for the development of rational intervention stratagem. This review highlights the importance of experimental models in the field of cancer management. The process of pathogenesis in cancer progression, invasion and metastasis can be successfully explained by employing clinically relevant laboratory models of the disease. Cancer cell lines have been used extensively to monitor the process of cancer pathogenesis process by controlling growth regulation and chemo-sensitivity for the evaluation of novel therapeutics in both in vitro and xenograft models. The experimental models have been used for the elaboration of diagnostic or therapeutic protocols, and thus employed in preclinical studies of bioactive agents relevant for cancer prevention. The outcome of this review should provide useful information in understanding and selection of various models in accordance with the stage of cancer. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

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Keywords:  Animal models; cancer; cell lines studies; chemotherapy; in vitro models; in vitro studies

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Year:  2017        PMID: 26891934     DOI: 10.2174/1389557516666160219122002

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  1 in total

1.  Anti-Cancer Activity of a 5-Aminopyrazole Derivative Lead Compound (BC-7) and Potential Synergistic Cytotoxicity with Cisplatin against Human Cervical Cancer Cells.

Authors:  Bresler Swanepoel; George Mihai Nitulescu; Octavian Tudorel Olaru; Luanne Venables; Maryna van de Venter
Journal:  Int J Mol Sci       Date:  2019-11-07       Impact factor: 5.923

  1 in total

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