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Multi-omic Characterization of Pancreatic Ductal Adenocarcinoma Relates CXCR4 mRNA Expression Levels to Potential Clinical Targets

Overview of attention for article published in Clinical Cancer Research, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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19 tweeters

Citations

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1 Dimensions

Readers on

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4 Mendeley
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Title
Multi-omic Characterization of Pancreatic Ductal Adenocarcinoma Relates CXCR4 mRNA Expression Levels to Potential Clinical Targets
Published in
Clinical Cancer Research, September 2022
DOI 10.1158/1078-0432.ccr-22-0275
Pubmed ID
Authors

Florian Kocher, Alberto Puccini, Gerold Untergasser, Agnieszka Martowicz, Kai Zimmer, Andreas Pircher, Yasmine Baca, Joanne Xiu, Johannes Haybaeck, Piotr Tymoszuk, Richard M. Goldberg, Angelica Petrillo, Anthony F. Shields, Mohamed E. Salem, John L. Marshall, Michael Hall, W. Michael Korn, Chadi Nabhan, Francesca Battaglin, Heinz-Josef Lenz, Emil Lou, Su-Pin Choo, Chee-Keong Toh, Silvia Gasteiger, Renate Pichler, Dominik Wolf, Andreas Seeber

Abstract

Chemokines are essential for immune cell trafficking and are considered to have a major impact on the composition of the tumor microenvironment. CX-chemokine receptor 4 (CXCR4) is associated with poor differentiation, metastasis and prognosis in pancreatic ductal adenocarcinoma (PDAC). This study provides a comprehensive molecular portrait of PDAC according to CXCR4 mRNA expression levels. The TCGA database was used to explore molecular and immunological features associated with CXCR4 mRNA expression in PDAC. A large real-word dataset (n=3,647) served for validation and further exploratory analyses. Single-cell RNA analyses on a publicly available dataset and in-house multiplex immunofluorescence (mIF) experiments were performed to elaborate cellular localization of CXCR4. High CXCR4 mRNA expression (CXCR4high) was associated with increased infiltration of regulatory T cells, CD8+ T cells and macrophages, and upregulation of several immune-related genes, including immune checkpoint transcripts (e.g. TIGIT, CD274, PDCD1). Analysis of the validation cohort confirmed the CXCR4-dependent immunological TME composition in PDAC irrespective of MSI-H/dMMR or TMB. Single-cell RNA analysis and mIF revealed that CXCR4 was mainly expressed by macrophages andT cell subsets. Clinical relevance of our finding is supported by an improved survival of CXCR4highPDAC. High intratumoral CXCR4 mRNA expression is linked to a T cell- and macrophage-rich PDAC phenotype with high expression of inhibitory immune checkpoints. Thus, our findings might serve as a rationale to investigate CXCR4 as a predictive biomarker in PDAC patients undergoing immune checkpoint inhibition.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 November 2022.
All research outputs
#3,051,200
of 22,552,322 outputs
Outputs from Clinical Cancer Research
#2,665
of 12,539 outputs
Outputs of similar age
#47,920
of 289,207 outputs
Outputs of similar age from Clinical Cancer Research
#68
of 146 outputs
Altmetric has tracked 22,552,322 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,539 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 78% 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 289,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 146 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 54% of its contemporaries.