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Associations of Luminal and Basal Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation Therapy

Overview of attention for article published in JAMA Oncology, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
61 news outlets
twitter
150 X users
patent
3 patents
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
223 Dimensions

Readers on

mendeley
170 Mendeley
Title
Associations of Luminal and Basal Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation Therapy
Published in
JAMA Oncology, December 2017
DOI 10.1001/jamaoncol.2017.0751
Pubmed ID
Authors

Shuang G. Zhao, S. Laura Chang, Nicholas Erho, Menggang Yu, Jonathan Lehrer, Mohammed Alshalalfa, Corey Speers, Matthew R. Cooperberg, Won Kim, Charles J. Ryan, Robert B. Den, Stephen J. Freedland, Edwin Posadas, Howard Sandler, Eric A. Klein, Peter Black, Roland Seiler, Scott A. Tomlins, Arul M. Chinnaiyan, Robert B. Jenkins, Elai Davicioni, Ashley E. Ross, Edward M. Schaeffer, Paul L. Nguyen, Peter R. Carroll, R. Jeffrey Karnes, Daniel E. Spratt, Felix Y. Feng

Abstract

There is a clear need for a molecular subtyping approach in prostate cancer to identify clinically distinct subgroups that benefit from specific therapies. To identify prostate cancer subtypes based on luminal and basal lineage and to determine associations with clinical outcomes and response to treatment. The PAM50 classifier was used to subtype 1567 retrospectively collected (median follow-up, 10 years) and 2215 prospectively collected prostate cancer samples into luminal- and basal-like subtypes. Metastasis, biochemical recurrence, overall survival, prostate cancer-specific survival, associations with biological pathways, and clinicopathologic variables were the main outcomes. Among the 3782 samples, the PAM50 classifier consistently segregated prostate cancer into 3 subtypes in both the retrospective and prospective cohorts: luminal A (retrospective, 538 [34.3%]; prospective, 737 [33.3%]), luminal B (retrospective, 447 [28.5%]; prospective, 723 [32.6%]), and basal (retrospective, 582 [37.1%]; prospective, 755 [34.1%]). Known luminal lineage markers, such as NKX3.1 and KRT18, were enriched in luminal-like cancers, and the basal lineage CD49f signature was enriched in basal-like cancers, demonstrating the connection between these subtypes and established prostate cancer biology. In the retrospective cohort, luminal B prostate cancers exhibited the poorest clinical prognoses on both univariable and multivariable analyses accounting for standard clinicopathologic prognostic factors (10-year biochemical recurrence-free survival [bRFS], 29%; distant metastasis-free survival [DMFS], 53%; prostate cancer-specific survival [PCSS], 78%; overall survival [OS], 69%), followed by basal prostate cancers (10-year bRFS, 39%; DMFS, 73%; PCSS, 86%; OS, 80%) and luminal A prostate cancers (10-year bRFS, 41%; DMFS, 73%; PCSS, 89%; OS, 82%). Although both luminal-like subtypes were associated with increased androgen receptor expression and signaling, only luminal B prostate cancers were significantly associated with postoperative response to androgen deprivation therapy (ADT) in a subset analysis in our retrospective cohorts (n = 315) matching patients based on clinicopathologic variables (luminal B 10-year metastasis: treated, 33% vs untreated, 55%; nonluminal B 10-year metastasis: treated, 37% vs untreated, 21%; P = .006 for interaction). Luminal- and basal-like prostate cancers demonstrate divergent clinical behavior, and patients with luminal B tumors respond better to postoperative ADT than do patients with non-luminal B tumors. These findings contribute novel insight into prostate cancer biology, providing a potential clinical tool to personalize ADT treatment for prostate cancer by predicting which men may benefit from ADT after surgery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 150 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 169 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 21%
Student > Ph. D. Student 28 16%
Student > Master 18 11%
Student > Bachelor 11 6%
Student > Postgraduate 11 6%
Other 28 16%
Unknown 38 22%
Readers by discipline Count As %
Medicine and Dentistry 49 29%
Biochemistry, Genetics and Molecular Biology 29 17%
Agricultural and Biological Sciences 20 12%
Computer Science 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 15 9%
Unknown 49 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 564. 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 23 September 2021.
All research outputs
#42,541
of 25,562,515 outputs
Outputs from JAMA Oncology
#77
of 3,332 outputs
Outputs of similar age
#902
of 446,124 outputs
Outputs of similar age from JAMA Oncology
#5
of 104 outputs
Altmetric has tracked 25,562,515 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 3,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 84.3. This one has done particularly well, scoring higher than 97% 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 446,124 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 99% of its contemporaries.
We're also able to compare this research output to 104 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 96% of its contemporaries.