| Title |
Cancer stem cells in basic science and in translational oncology: can we translate into clinical application?
|
|---|---|
| Published in |
Journal of Hematology & Oncology, February 2015
|
| DOI | 10.1186/s13045-015-0113-9 |
| Pubmed ID | |
| Authors |
Axel Schulenburg, Katharina Blatt, Sabine Cerny-Reiterer, Irina Sadovnik, Harald Herrmann, Brigitte Marian, Thomas W Grunt, Christoph C Zielinski, Peter Valent |
| Abstract |
Since their description and identification in leukemias and solid tumors, cancer stem cells (CSC) have been the subject of intensive research in translational oncology. Indeed, recent advances have led to the identification of CSC markers, CSC targets, and the preclinical and clinical evaluation of the CSC-eradicating (curative) potential of various drugs. However, although diverse CSC markers and targets have been identified, several questions remain, such as the origin and evolution of CSC, mechanisms underlying resistance of CSC against various targeted drugs, and the biochemical basis and function of stroma cell-CSC interactions in the so-called 'stem cell niche.' Additional aspects that have to be taken into account when considering CSC elimination as primary treatment-goal are the genomic plasticity and extensive subclone formation of CSC. Notably, various cell fractions with different combinations of molecular aberrations and varying proliferative potential may display CSC function in a given neoplasm, and the related molecular complexity of the genome in CSC subsets is considered to contribute essentially to disease evolution and acquired drug resistance. In the current article, we discuss new developments in the field of CSC research and whether these new concepts can be exploited in clinical practice in the future. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| United States | 1 | <1% |
| India | 1 | <1% |
| Unknown | 122 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 21% |
| Student > Master | 24 | 19% |
| Student > Bachelor | 20 | 16% |
| Researcher | 11 | 9% |
| Student > Postgraduate | 8 | 6% |
| Other | 15 | 12% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 29% |
| Biochemistry, Genetics and Molecular Biology | 36 | 29% |
| Agricultural and Biological Sciences | 16 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Engineering | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 21 | 17% |
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 07 May 2015.
All research outputs
#12,727,037
of 22,797,621 outputs
Outputs from Journal of Hematology & Oncology
#580
of 1,191 outputs
Outputs of similar age
#112,970
of 255,465 outputs
Outputs of similar age from Journal of Hematology & Oncology
#8
of 19 outputs
Altmetric has tracked 22,797,621 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 1,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 255,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 19 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 52% of its contemporaries.