| Title |
Drug-free macromolecular therapeutics induce apoptosis of patient chronic lymphocytic leukemia cells
|
|---|---|
| Published in |
Drug Delivery and Translational Research, November 2014
|
| DOI | 10.1007/s13346-014-0209-8 |
| Pubmed ID | |
| Authors |
Te-Wei Chu, Ken M. Kosak, Paul J. Shami, Jindřich Kopeček |
| Abstract |
A new drug-free nanotherapeutic approach for B-cell malignancies was developed. Exposure of B-cells to an anti-CD20 Fab'-morpholino oligonucleotide1 (MORF1) conjugate decorated the cell surface with MORF1; further exposure of the decorated cells to multivalent polymer-oligonucleotide2 conjugates (P-MORF2) resulted in CD20 clustering at the cell surface with induction of apoptosis. We evaluated this concept in chronic lymphocytic leukemia (CLL) cells isolated from 10 patients. Apoptosis and cytotoxicity were observed in eight samples, including 2 samples with the 17p13 deletion, which suggested a p53-independent mechanism of apoptosis induction. When compared to an anti-CD20 monoclonal antibody (mAb), the nanotherapeutic showed significantly more potent apoptosis-inducing activity and cytotoxicity. This was due to the multivalency effect (8 binding sites per polymer chain) of our design in comparison to the divalent mAb. In conclusion, we have developed a novel and potent therapeutic system against CLL and other B-cell malignancies with significant advantages over conventional chemo-immunotherapy. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Ph. D. Student | 3 | 25% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Neuroscience | 2 | 17% |
| Chemistry | 2 | 17% |
| Medicine and Dentistry | 1 | 8% |
| Chemical Engineering | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
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 13 January 2015.
All research outputs
#15,315,142
of 22,778,347 outputs
Outputs from Drug Delivery and Translational Research
#318
of 505 outputs
Outputs of similar age
#153,305
of 262,845 outputs
Outputs of similar age from Drug Delivery and Translational Research
#3
of 4 outputs
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