| Title |
The Prognostic Value of Microsatellite Instability, KRAS, BRAF and PIK3CA Mutations in Stage II Colon Cancer Patients
|
|---|---|
| Published in |
Molecular Medicine, December 2015
|
| DOI | 10.2119/molmed.2015.00220 |
| Pubmed ID | |
| Authors |
F. Jeroen Vogelaar, Felice N. van Erning, Marlies S. Reimers, Hans van der Linden, Hans Pruijt, Adriaan J. C. van den Brule, Koop Bosscha |
| Abstract |
In the era of personalized cancer medicine, identifying mutations within patient tumors plays an important role in defining high risk stage II colon cancer patients. The prognostic role of BRAF V600E mutation, MSI status, KRAS mutation and PIK3CA mutation in stage II colon cancer patients is not just settled. We retrospectively analyzed 186 patients with stage II colon cancer who underwent an oncological resection but were not treated with adjuvant chemotherapy. KRAS mutations, PIK3CA mutation, V600E BRAF mutation and MSI status were determined. Survival analyses were performed. Mutations were found in respectively 23% (MSI), 35% (KRAS), 19% (BRAF) and 11% (PIK3CA) of the patients. A trend towards worse overall survival (OS) was seen in patients with a MSI (5-year OS 74% vs. 82%, adjusted HR 1.8, 95% CI 0.6-4.9) and a KRAS mutated tumor (5-year OS 77% vs. 82%, adjusted HR 1.7, 95% CI 0.8-3.5). MSI and BRAF mutated tumors tended to correlated with poorer disease-free survival (DFS) (5-year DFS 60% vs. 78%, adjusted HR 1.6, 95% CI 0.5-2.1 and 5-year DFS 57% vs. 77%, adjusted HR 1.1, 95% CI 0.4-2.6 respectively). In stage II colon cancer patients not treated with adjuvant chemotherapy, BRAF mutation and MSI status both tended to have a negative prognostic effect on disease-free survival. KRAS and MSI status also tended to be correlated with worse overall survival. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 21% |
| Researcher | 5 | 21% |
| Other | 3 | 13% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 46% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Immunology and Microbiology | 2 | 8% |
| Psychology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2016.
All research outputs
#15,352,477
of 22,836,570 outputs
Outputs from Molecular Medicine
#808
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Outputs of similar age
#213,131
of 363,132 outputs
Outputs of similar age from Molecular Medicine
#8
of 21 outputs
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