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Association of tumor TROP2 expression with prognosis varies among lung cancer subtypes

Overview of attention for article published in Oncotarget, February 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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8 news outlets
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1 tweeter

Citations

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21 Dimensions

Readers on

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27 Mendeley
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Title
Association of tumor TROP2 expression with prognosis varies among lung cancer subtypes
Published in
Oncotarget, February 2017
DOI 10.18632/oncotarget.15647
Pubmed ID
Authors

Kentaro Inamura, Yusuke Yokouchi, Maki Kobayashi, Hironori Ninomiya, Rie Sakakibara, Sophia Subat, Hiroko Nagano, Kimie Nomura, Sakae Okumura, Tomoko Shibutani, Yuichi Ishikawa

Abstract

TROP2 is a transmembrane glycoprotein that is overexpressed in various cancers. Emerging evidence suggests that TROP2-targeting therapies are efficacious and safe in patients with multiple prior treatments. TROP2 is a promising target for lung cancer treatment; however, little is known regarding the association of TROP2 expression with clinicopathological/molecular features, including prognosis, in lung cancer. We examined consecutive cases of adenocarcinoma, squamous cell carcinoma (SqCC), and high-grade neuroendocrine tumor (HGNET) for the membranous expression of TROP2 using immunohistochemistry. High TROP2 expression was observed in 64% (172/270) of adenocarcinomas, 75% (150/201) of SqCCs, and 18% (21/115) of HGNETs. Intriguingly, the association of TROP2 expression with mortality was dependent on the lung cancer subtype. High TROP2 expression was associated with higher lung cancer-specific mortality in adenocarcinomas [univariable hazard ratio (HR) = 1.60, 95% confidence interval (CI) = 1.07-2.44, P = 0.022)], but not in SqCCs (univariable HR = 0.79, 95% CI = 0.35-1.94, P = 0.79). In HGNETs, high TROP2 expression was associated with lower lung cancer-specific mortality in both univariable and multivariable analyses (multivariable HR = 0.13, 95% CI = 0.020-0.44, P = 0.0003). Our results suggest a differential role for TROP2 in different lung cancer subtypes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Ph. D. Student 5 19%
Other 3 11%
Student > Master 2 7%
Unspecified 2 7%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Biochemistry, Genetics and Molecular Biology 5 19%
Unspecified 2 7%
Agricultural and Biological Sciences 2 7%
Immunology and Microbiology 2 7%
Other 4 15%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 12 September 2019.
All research outputs
#402,517
of 15,835,226 outputs
Outputs from Oncotarget
#155
of 12,802 outputs
Outputs of similar age
#13,171
of 272,132 outputs
Outputs of similar age from Oncotarget
#18
of 1,204 outputs
Altmetric has tracked 15,835,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,802 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 272,132 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 95% of its contemporaries.
We're also able to compare this research output to 1,204 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.