Predictive Molecular Tumour Testing : What Are the Obstacles between Bench and Bedside?

Joint Authors

Michael, Michael
Mileshkin, Linda
Shah, Bhaumik

Source

Chemotherapy Research and Practice

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-05-14

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Pharmacology

Abstract EN

There have been many exciting new breakthroughs in understanding tumour biology.

This has opened up the possibility of personalized treatment for people with certain tumours.

The epidermal growth factor receptor (EGFR) and K-ras are two such targets that can help classify tumours on a molecular basis and guide treatment decisions.

However, there are still questions about how best to implement new molecular tests like these to characterize tumours in clinical practice.

Potential obstacles include availability of good quality tissue specimens, access to the right test, and consensus about interpretation, funding, and availability.

In this paper, we review these issues, by discussing these two examples in detail and suggest some actions for addressing potential barriers.

American Psychological Association (APA)

Mileshkin, Linda& Shah, Bhaumik& Michael, Michael. 2012. Predictive Molecular Tumour Testing : What Are the Obstacles between Bench and Bedside?. Chemotherapy Research and Practice،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-502210

Modern Language Association (MLA)

Mileshkin, Linda…[et al.]. Predictive Molecular Tumour Testing : What Are the Obstacles between Bench and Bedside?. Chemotherapy Research and Practice No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-502210

American Medical Association (AMA)

Mileshkin, Linda& Shah, Bhaumik& Michael, Michael. Predictive Molecular Tumour Testing : What Are the Obstacles between Bench and Bedside?. Chemotherapy Research and Practice. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-502210

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-502210