Predicting response to EGFR-tyrosine kinase inhibitors among diverse ancestries: Just way too polymorphic: Cancer Biology & Therapy: Vol 6, No 1

145

Views

CrossRef citations to date

Altmetric

Abstract

Commentary to:

EGFR Intron 1 Polymorphism in Asian Populations and its Correlation with EGFR Gene Expression and Amplification in Breast Tumor Tissues

Qingyu Zhou, Yin Bun Cheung, Srinivasa Rao Jada, Wan Teck Lim, Wen-Lin Kuo, Joe Gray, Ann SG Lee and Balram Chowbay

Volume: 5 | Issue: 11 | Pages: 1445 - 1449

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Predicting response to EGFR-tyrosine kinase inhibitors among diverse ancestries: Just way too polymorphic

Information for

Open access

Opportunities

Help and information

Predicting response to EGFR-tyrosine kinase inhibitors among diverse ancestries: Just way too polymorphic

Abstract

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date

Your download is now in progress and you may close this window

Login or register to access this feature