| Title |
Molecular tests as prognostic factors in breast cancer
|
|---|---|
| Published in |
Virchows Archiv, February 2014
|
| DOI | 10.1007/s00428-014-1539-0 |
| Pubmed ID | |
| Authors |
Marc J. van de Vijver |
| Abstract |
In early breast cancer, prognostic tests are used to guide decisions on adjuvant systemic hormonal therapy, chemotherapy and targeted therapy treatment. This has led to large research efforts to identify novel prognostic markers in breast cancer. At present, the tissue factors used to guide treatment of breast cancer patients are tumor size, lymph node status, histologic grade, ER status, PR status, and HER2 status; in addition, multigene-expression-based prognostic tests are rapidly emerging. While identification of prognostic gene expression profiles has been successful, it has not been possible yet to identify robust clinically useful predictors of response to systemic treatment. As a result of rapid advances in technology and bioinformatics, it has become possible to analyze large series of breast carcinomas using high-throughput genetic techniques, including whole genome sequence analysis and gene expression profiling. These genomic studies will lead to the development of additional prognostic and predictive tissue-based tests. The most important aspects of the currently used tissue-based prognostic and predictive tests and the research in this area are reviewed. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Master | 8 | 13% |
| Other | 7 | 12% |
| Student > Doctoral Student | 6 | 10% |
| Other | 12 | 20% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 42% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Agricultural and Biological Sciences | 10 | 17% |
| Nursing and Health Professions | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 November 2020.
All research outputs
#12,774,965
of 22,743,667 outputs
Outputs from Virchows Archiv
#960
of 1,940 outputs
Outputs of similar age
#154,437
of 307,251 outputs
Outputs of similar age from Virchows Archiv
#13
of 34 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,940 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 50% of its peers.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.