You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A precision oncology approach to the pharmacological targeting of mechanistic dependencies in neuroendocrine tumors
|
|---|---|
| Published in |
Nature Genetics, June 2018
|
| DOI | 10.1038/s41588-018-0138-4 |
| Pubmed ID | |
| Authors |
Mariano J. Alvarez, Prem S. Subramaniam, Laura H. Tang, Adina Grunn, Mahalaxmi Aburi, Gabrielle Rieckhof, Elena V. Komissarova, Elizabeth A. Hagan, Lisa Bodei, Paul A. Clemons, Filemon S. Dela Cruz, Deepti Dhall, Daniel Diolaiti, Douglas A. Fraker, Afshin Ghavami, Daniel Kaemmerer, Charles Karan, Mark Kidd, Kyoung M. Kim, Hee C. Kim, Lakshmi P. Kunju, Ülo Langel, Zhong Li, Jeeyun Lee, Hai Li, Virginia LiVolsi, Roswitha Pfragner, Allison R. Rainey, Ronald B. Realubit, Helen Remotti, Jakob Regberg, Robert Roses, Anil Rustgi, Antonia R. Sepulveda, Stefano Serra, Chanjuan Shi, Xiaopu Yuan, Massimo Barberis, Roberto Bergamaschi, Arul M. Chinnaiyan, Tony Detre, Shereen Ezzat, Andrea Frilling, Merten Hommann, Dirk Jaeger, Michelle K. Kim, Beatrice S. Knudsen, Andrew L. Kung, Emer Leahy, David C. Metz, Jeffrey W. Milsom, Young S. Park, Diane Reidy-Lagunes, Stuart Schreiber, Kay Washington, Bertram Wiedenmann, Irvin Modlin, Andrea Califano |
| Abstract |
We introduce and validate a new precision oncology framework for the systematic prioritization of drugs targeting mechanistic tumor dependencies in individual patients. Compounds are prioritized on the basis of their ability to invert the concerted activity of master regulator proteins that mechanistically regulate tumor cell state, as assessed from systematic drug perturbation assays. We validated the approach on a cohort of 212 gastroenteropancreatic neuroendocrine tumors (GEP-NETs), a rare malignancy originating in the pancreas and gastrointestinal tract. The analysis identified several master regulator proteins, including key regulators of neuroendocrine lineage progenitor state and immunoevasion, whose role as critical tumor dependencies was experimentally confirmed. Transcriptome analysis of GEP-NET-derived cells, perturbed with a library of 107 compounds, identified the HDAC class I inhibitor entinostat as a potent inhibitor of master regulator activity for 42% of metastatic GEP-NET patients, abrogating tumor growth in vivo. This approach may thus complement current efforts in precision oncology. |
X Demographics
The data shown below were collected from the profiles of 49 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 | 14 | 29% |
| Australia | 3 | 6% |
| Italy | 1 | 2% |
| Iraq | 1 | 2% |
| Lebanon | 1 | 2% |
| Japan | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 21 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 61% |
| Scientists | 19 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 22% |
| Student > Ph. D. Student | 35 | 19% |
| Other | 17 | 9% |
| Student > Doctoral Student | 12 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 30 | 16% |
| Unknown | 40 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 29% |
| Medicine and Dentistry | 33 | 18% |
| Agricultural and Biological Sciences | 26 | 14% |
| Computer Science | 4 | 2% |
| Immunology and Microbiology | 2 | 1% |
| Other | 18 | 10% |
| Unknown | 50 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 August 2021.
All research outputs
#463,028
of 25,539,438 outputs
Outputs from Nature Genetics
#933
of 7,592 outputs
Outputs of similar age
#10,038
of 342,126 outputs
Outputs of similar age from Nature Genetics
#33
of 65 outputs
Altmetric has tracked 25,539,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 87% 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 342,126 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 97% of its contemporaries.
We're also able to compare this research output to 65 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 50% of its contemporaries.