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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic Inactivation of CD33 in Hematopoietic Stem Cells to Enable CAR T Cell Immunotherapy for Acute Myeloid Leukemia
|
|---|---|
| Published in |
Cell, May 2018
|
| DOI | 10.1016/j.cell.2018.05.013 |
| Pubmed ID | |
| Authors |
Miriam Y. Kim, Kyung-Rok Yu, Saad S. Kenderian, Marco Ruella, Shirley Chen, Tae-Hoon Shin, Aisha A. Aljanahi, Daniel Schreeder, Michael Klichinsky, Olga Shestova, Miroslaw S. Kozlowski, Katherine D. Cummins, Xinhe Shan, Maksim Shestov, Adam Bagg, Jennifer J.D. Morrissette, Palak Sekhri, Cicera R. Lazzarotto, Katherine R. Calvo, Douglas B. Kuhns, Robert E. Donahue, Gregory K. Behbehani, Shengdar Q. Tsai, Cynthia E. Dunbar, Saar Gill |
| Abstract |
The absence of cancer-restricted surface markers is a major impediment to antigen-specific immunotherapy using chimeric antigen receptor (CAR) T cells. For example, targeting the canonical myeloid marker CD33 in acute myeloid leukemia (AML) results in toxicity from destruction of normal myeloid cells. We hypothesized that a leukemia-specific antigen could be created by deleting CD33 from normal hematopoietic stem and progenitor cells (HSPCs), thereby generating a hematopoietic system resistant to CD33-targeted therapy and enabling specific targeting of AML with CAR T cells. We generated CD33-deficient human HSPCs and demonstrated normal engraftment and differentiation in immunodeficient mice. Autologous CD33 KO HSPC transplantation in rhesus macaques demonstrated long-term multilineage engraftment of gene-edited cells with normal myeloid function. CD33-deficient cells were impervious to CD33-targeting CAR T cells, allowing for efficient elimination of leukemia without myelotoxicity. These studies illuminate a novel approach to antigen-specific immunotherapy by genetically engineering the host to avoid on-target, off-tumor toxicity. |
X Demographics
The data shown below were collected from the profiles of 153 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 | 58 | 38% |
| France | 8 | 5% |
| United Kingdom | 5 | 3% |
| Japan | 3 | 2% |
| Netherlands | 3 | 2% |
| Spain | 3 | 2% |
| Mexico | 3 | 2% |
| Singapore | 2 | 1% |
| Germany | 2 | 1% |
| Other | 14 | 9% |
| Unknown | 52 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 91 | 59% |
| Scientists | 48 | 31% |
| Practitioners (doctors, other healthcare professionals) | 11 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 443 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 443 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 18% |
| Researcher | 74 | 17% |
| Student > Bachelor | 54 | 12% |
| Student > Master | 42 | 9% |
| Other | 28 | 6% |
| Other | 50 | 11% |
| Unknown | 116 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 115 | 26% |
| Medicine and Dentistry | 70 | 16% |
| Agricultural and Biological Sciences | 47 | 11% |
| Immunology and Microbiology | 37 | 8% |
| Engineering | 15 | 3% |
| Other | 31 | 7% |
| Unknown | 128 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 173. 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 20 February 2024.
All research outputs
#237,362
of 25,734,859 outputs
Outputs from Cell
#1,310
of 17,267 outputs
Outputs of similar age
#5,148
of 345,124 outputs
Outputs of similar age from Cell
#33
of 151 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has done particularly well, scoring higher than 92% 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 345,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.