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Oncotarget

Dynamic changes during the treatment of pancreatic cancer

Overview of attention for article published in Oncotarget, February 2018
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
50 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
99 Mendeley
Title
Dynamic changes during the treatment of pancreatic cancer
Published in
Oncotarget, February 2018
DOI 10.18632/oncotarget.24483
Pubmed ID
Authors

Robert A. Wolff, Andrea Wang-Gillam, Hector Alvarez, Hervé Tiriac, Dannielle Engle, Shurong Hou, Abigail F. Groff, Anthony San Lucas, Vincent Bernard, Kelvin Allenson, Jonathan Castillo, Dong Kim, Feven Mulu, Jonathan Huang, Bret Stephens, Ignacio I. Wistuba, Matthew Katz, Gauri Varadhachary, YoungKyu Park, James Hicks, Arul Chinnaiyan, Louis Scampavia, Timothy Spicer, Chiara Gerhardinger, Anirban Maitra, David Tuveson, John Rinn, Gregory Lizee, Cassian Yee, Arnold J. Levine

Abstract

This manuscript follows a single patient with pancreatic adenocarcinoma for a five year period, detailing the clinical record, pathology, the dynamic evolution of molecular and cellular alterations as well as the responses to treatments with chemotherapies, targeted therapies and immunotherapies. DNA and RNA samples from biopsies and blood identified a dynamic set of changes in allelic imbalances and copy number variations in response to therapies. Organoid cultures established from biopsies over time were employed for extensive drug testing to determine if this approach was feasible for treatments. When an unusual drug response was detected, an extensive RNA sequencing analysis was employed to establish novel mechanisms of action of this drug. Organoid cell cultures were employed to identify possible antigens associated with the tumor and the patient's T-cells were expanded against one of these antigens. Similar and identical T-cell receptor sequences were observed in the initial biopsy and the expanded T-cell population. Immunotherapy treatment failed to shrink the tumor, which had undergone an epithelial to mesenchymal transition prior to therapy. A warm autopsy of the metastatic lung tumor permitted an extensive analysis of tumor heterogeneity over five years of treatment and surgery. This detailed analysis of the clinical descriptions, imaging, pathology, molecular and cellular evolution of the tumors, treatments, and responses to chemotherapy, targeted therapies, and immunotherapies, as well as attempts at the development of personalized medical treatments for a single patient should provide a valuable guide to future directions in cancer treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Researcher 13 13%
Student > Master 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Other 17 17%
Unknown 31 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 21%
Medicine and Dentistry 17 17%
Agricultural and Biological Sciences 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Immunology and Microbiology 5 5%
Other 9 9%
Unknown 33 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 05 February 2024.
All research outputs
#1,265,130
of 25,928,676 outputs
Outputs from Oncotarget
#588
of 14,364 outputs
Outputs of similar age
#30,252
of 459,325 outputs
Outputs of similar age from Oncotarget
#18
of 366 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,364 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 95% 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 459,325 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 93% of its contemporaries.
We're also able to compare this research output to 366 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 95% of its contemporaries.