| Title |
Prognostic and Predictive Biomarkers: Tools in Personalized Oncology
|
|---|---|
| Published in |
Molecular Diagnosis & Therapy, January 2014
|
| DOI | 10.1007/s40291-013-0077-9 |
| Pubmed ID | |
| Authors |
Ewelina Nalejska, Ewa Mączyńska, Marzena Anna Lewandowska |
| Abstract |
Oncology indispensably leads us to personalized medicine, which allows an individual approach to be taken with each patient. Personalized oncology is based on pharmacogenomics and the effect of genetic differences in individuals (germline and somatic) on the way cancer patients respond to chemotherapeutics. Biomarkers detected using molecular biology tools allow the molecular characterization of cancer signatures and provide information relevant for personalized treatment. Biomarkers can be divided into two main subgroups: prognostic and predictive. The aim of the application of prognostic biomarkers, which provide information on the overall cancer outcome in patients, is to facilitate cancer diagnosis, usually with no need for putting invasive methods into use. Predictive biomarkers help to optimize therapy decisions, as they provide information on the likelihood of response to a given chemotherapeutic. Among the prognostic factors that identify patients with different outcome risks (e.g., recurrence of the disease), the following factors can be distinguished: somatic and germline mutations, changes in DNA methylation that lead to the enhancement or suppression of gene expression, the occurrence of elevated levels of microRNA (miRNA) capable of binding specific messenger RNA (mRNA) molecules, which affects gene expression, as well as the presence of circulating tumor cells (CTCs) in blood, which leads to a poor prognosis for the patient. Biomarkers for personalized oncology are used mainly in molecular diagnostics of chronic myeloid leukemia, colon, breast and lung cancer, and recently in melanoma. They are successfully used in the evaluation of the benefits that can be achieved through targeted therapy or in the evaluation of toxic effects of the chemotherapeutic used in the therapy. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Egypt | 1 | <1% |
| Unknown | 341 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 17% |
| Student > Master | 59 | 17% |
| Student > Bachelor | 52 | 15% |
| Researcher | 48 | 14% |
| Other | 18 | 5% |
| Other | 54 | 16% |
| Unknown | 53 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 26% |
| Medicine and Dentistry | 82 | 24% |
| Agricultural and Biological Sciences | 45 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 4% |
| Chemistry | 9 | 3% |
| Other | 37 | 11% |
| Unknown | 69 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 December 2016.
All research outputs
#2,620,956
of 22,738,543 outputs
Outputs from Molecular Diagnosis & Therapy
#17
of 376 outputs
Outputs of similar age
#31,938
of 304,530 outputs
Outputs of similar age from Molecular Diagnosis & Therapy
#1
of 5 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 376 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% of its peers.
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