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Genomic and immune heterogeneity are associated with differential responses to therapy in melanoma

Overview of attention for article published in npj Genomic Medicine, April 2017
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Title
Genomic and immune heterogeneity are associated with differential responses to therapy in melanoma
Published in
npj Genomic Medicine, April 2017
DOI 10.1038/s41525-017-0013-8
Pubmed ID
Authors

Alexandre Reuben, Christine N. Spencer, Peter A. Prieto, Vancheswaran Gopalakrishnan, Sangeetha M. Reddy, John P. Miller, Xizeng Mao, Mariana Petaccia De Macedo, Jiong Chen, Xingzhi Song, Hong Jiang, Pei-Ling Chen, Hannah C. Beird, Haven R. Garber, Whijae Roh, Khalida Wani, Eveline Chen, Cara Haymaker, Marie-Andrée Forget, Latasha D. Little, Curtis Gumbs, Rebecca L. Thornton, Courtney W. Hudgens, Wei-Shen Chen, Jacob Austin-Breneman, Robert Szczepaniak Sloane, Luigi Nezi, Alexandria P. Cogdill, Chantale Bernatchez, Jason Roszik, Patrick Hwu, Scott E. Woodman, Lynda Chin, Hussein Tawbi, Michael A. Davies, Jeffrey E. Gershenwald, Rodabe N. Amaria, Isabella C. Glitza, Adi Diab, Sapna P. Patel, Jianhua Hu, Jeffrey E. Lee, Elizabeth A. Grimm, Michael T. Tetzlaff, Alexander J. Lazar, Ignacio I. Wistuba, Karen Clise-Dwyer, Brett W. Carter, Jianhua Zhang, P. Andrew Futreal, Padmanee Sharma, James P. Allison, Zachary A. Cooper, Jennifer A. Wargo

Abstract

Appreciation for genomic and immune heterogeneity in cancer has grown though the relationship of these factors to treatment response has not been thoroughly elucidated. To better understand this, we studied a large cohort of melanoma patients treated with targeted therapy or immune checkpoint blockade (n = 60). Heterogeneity in therapeutic responses via radiologic assessment was observed in the majority of patients. Synchronous melanoma metastases were analyzed via deep genomic and immune profiling, and revealed substantial genomic and immune heterogeneity in all patients studied, with considerable diversity in T cell frequency, and few shared T cell clones (<8% on average) across the cohort. Variables related to treatment response were identified via these approaches and through novel radiomic assessment. These data yield insight into differential therapeutic responses to targeted therapy and immune checkpoint blockade in melanoma, and have key translational implications in the age of precision medicine.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 22%
Researcher 25 19%
Student > Bachelor 15 11%
Professor > Associate Professor 6 4%
Student > Master 6 4%
Other 19 14%
Unknown 34 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 19%
Biochemistry, Genetics and Molecular Biology 24 18%
Medicine and Dentistry 24 18%
Immunology and Microbiology 11 8%
Engineering 4 3%
Other 10 7%
Unknown 37 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 September 2017.
All research outputs
#5,935,080
of 22,962,258 outputs
Outputs from npj Genomic Medicine
#189
of 353 outputs
Outputs of similar age
#95,459
of 309,929 outputs
Outputs of similar age from npj Genomic Medicine
#10
of 15 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 309,929 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 68% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.