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Comprehensive Surfaceome Profiling to Identify and Validate Novel Cell-Surface Targets in Osteosarcoma

Overview of attention for article published in Molecular Cancer Therapeutics, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
6 tweeters

Readers on

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1 Mendeley
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Title
Comprehensive Surfaceome Profiling to Identify and Validate Novel Cell-Surface Targets in Osteosarcoma
Published in
Molecular Cancer Therapeutics, March 2022
DOI 10.1158/1535-7163.mct-21-0836
Pubmed ID
Authors

Yifei Wang, Xiangjun Tian, Wendong Zhang, Zhongting Zhang, Rossana Lazcano, Pooja Hingorani, Michael E. Roth, Jonathan D. Gill, Douglas J. Harrison, Zhaohui Xu, Sylvester Jusu, Sankaranarayanan Kannan, Jing Wang, Alexander J. Lazar, Eric J. Earley, Stephen W. Erickson, Tara Gelb, Philip Huxley, Johanna Lahdenranta, Gemma Mudd, Raushan T. Kurmasheva, Peter J. Houghton, Malcolm A. Smith, Edward A. Kolb, Richard Gorlick

Abstract

Immunoconjugates targeting cell-surface antigens have demonstrated clinical activity to enable regulatory approval in several solid and hematologic malignancies. We hypothesize that a rigorous and comprehensive surfaceome profiling approach to identify osteosarcoma-specific cell-surface antigens can similarly enable development of effective therapeutics in this disease. Herein, we describe an integrated proteomic and transcriptomic surfaceome profiling approach to identify cell-surface proteins that are highly expressed in osteosarcoma but minimally expressed on normal tissues. Using this approach, we identified targets that are highly expressed in osteosarcoma. Three targets, MT1-MMP, CD276, and MRC2, were validated as overexpressed in osteosarcoma. Further, we tested BT1769, an MT1-MMP-targeted Bicycle toxin conjugate, in osteosarcoma PDX models. The results showed BT1769 had encouraging anti-tumor activity, high affinity for its target and a favorable pharmacokinetic profile. This confirms the hypothesis that our approach identifies novel targets with significant therapeutic potential in osteosarcoma.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2022.
All research outputs
#6,720,888
of 21,423,731 outputs
Outputs from Molecular Cancer Therapeutics
#1,490
of 3,702 outputs
Outputs of similar age
#121,321
of 338,389 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#15
of 41 outputs
Altmetric has tracked 21,423,731 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,702 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 58% 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 338,389 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 63% of its contemporaries.
We're also able to compare this research output to 41 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 63% of its contemporaries.