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Exploratory biomarker analysis for treatment response in KRAS wild type metastatic colorectal cancer patients who received cetuximab plus irinotecan

Overview of attention for article published in BMC Cancer, October 2015
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Title
Exploratory biomarker analysis for treatment response in KRAS wild type metastatic colorectal cancer patients who received cetuximab plus irinotecan
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1759-y
Pubmed ID
Authors

Seung Tae Kim, Tae Jin Ahn, Eunjin Lee, In-Gu Do, Su Jin Lee, Se Hoon Park, Joon Oh Park, Young Suk Park, Ho Yeong Lim, Won Ki Kang, Suk Hyeong Kim, Jeeyun Lee, Hee Cheol Kim

Abstract

More than half of the patients selected based on KRAS mutation status fail to respond to the treatment with cetuximab in metastatic colorectal cancer (mCRC). We designed a study to identify additional biomarkers that could act as indicators for cetuximab treatment in mCRC. We investigated 58 tumor samples from wild type KRAS CRC patients treated with cetuximab plus irinotecan (CI). We conducted the genotyping for mutations in either BRAF or PIK3CA and profiled comprehensively the expression of 522 kinase genes. BRAF mutation was detected in 5.1 % (3/58) of patients. All 50 patients showed wild type PIK3CA. Gene expression patterns that categorized patients with or without the disease control to CI were compared by supervised classification analysis. PSKH1, TLK2 and PHKG2 were overexpressed significantly in patients with the disease control to IC. The higher expression value of PSKH1 (r = 0.462, p < 0.001) and TLK2 (r = 0.361, p = 0.005) had the significant correlation to prolonged PFS. The result of this work demonstrated that expression nature of kinase genes such as PSKH1, TLK2 and PHKG2 may be informative to predict the efficacy of CI in wild type KRAS CRC. Mutations in either BRAF or PIK3CA were rare subsets in wild type KRAS CRC.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Researcher 4 13%
Student > Bachelor 3 10%
Other 3 10%
Student > Master 3 10%
Other 6 20%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Biochemistry, Genetics and Molecular Biology 6 20%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 8 27%