Cited by 143Chemokine receptors and signalingInflammatory Biomarkers in Disease PrognosisInflammatory mediators and NSAID effects

The Chemokine CXCL16 and Its Receptor, CXCR6, as Markers and Promoters of Inflammation-Associated Cancers

Open access
Darash-Yahana, Merav, Gillespie, John W., Hewitt, Stephen M., Chen, Yun-Yun K., Maeda, Shin, Stein, Ilan, Singh, Satya P., Bedolla, Roble B. +5 more·2009·PLoS ONE

Abstract

Clinical observations and mouse models have suggested that inflammation can be pro-tumorigenic. Since chemokines are critical in leukocyte trafficking, we hypothesized that chemokines play essential roles in inflammation-associated cancers. Screening for 37 chemokines in prostate cancer cell lines and xenografts revealed CXCL16, the ligand for the receptor CXCR6, as the most consistently expressed chemokine. Immunohistochemistry and/or immunofluorescence and confocal imaging of 121 human prostate specimens showed that CXCL16 and CXCR6 were co-expressed, both on prostate cancer cells and adjacent T cells. Expression levels of CXCL16 and CXCR6 on cancer cells correlated with poor prognostic features including high-stage and high-grade, and expression also correlated with post-inflammatory changes in the cancer stroma as revealed by loss of alpha-smooth muscle actin. Moreover, CXCL16 enhanced the growth of CXCR6-expressing cancer and primary CD4 T cells. We studied expression of CXCL16 in an additional 461 specimens covering 12 tumor types, and found that CXCL16 was expressed in multiple human cancers associated with inflammation. Our study is the first to describe the expression of CXCL16/CXCR6 on both cancer cells and adjacent T cells in humans, and to demonstrate correlations between CXCL16 and CXCR6 vs. poor both prognostic features and reactive changes in cancer stoma. Taken together, our data suggest that CXCL16 and CXCR6 may mark cancers arising in an inflammatory milieu and mediate pro-tumorigenic effects of inflammation through direct effects on cancer cell growth and by inducing the migration and proliferation of tumor-associated leukocytes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0006695

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The largest overlap of deregulated genes was identified between adagrasib plus BI-3406 and adagrasib plus TNO155 combination treatments, suggesting similarly induced transcriptomic modulation.

    “Across all time points in both models, the largest overlap of deregulated genes, which included genes associated with the MAPK family, tumor growth and cancer progression28–30, was identified between adagrasib plus BI-3406 and adagrasib plus TNO155 combination treatments, suggesting similarly induced transcriptomic modulation (Fig. 4a, Extended Data Fig. 4 and Supplementary Tables 6 and 7).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

2 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Darash-Yahana, M., Gillespie, J. W., Hewitt, S. M., Chen, Y.-Y. K., Maeda, S., Stein, I., Singh, S. P., Bedolla, R. B., Peled, A., Troyer, D. A., Pikarsky, E., Karin, M., & Farber, J. M.
Affiliations
  • National Cancer Institute (US)
  • National Institutes of Health (US)
  • The Institute of Medical Science, Asahi Life Foundation (JP)
  • Hadassah Medical Center (IL)
  • The University of Texas at San Antonio Health Science Center (US)
  • University of California San Diego (US)
Corresponding author
Farber, Joshua M.
Venue
PLoS ONE
Published
2009-08-19
Volume
4
Issue
8
Pages
e6695
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2093728029
Cited by
143
References
56
Citations by year
2026: 5 · 2025: 8 · 2024: 8 · 2023: 7 · 2022: 4 · 2021: 11 · 2020: 10 · 2019: 6 · 2018: 8 · 2017: 6 · 2016: 4 · 2015: 9 · 2014: 14 · 2013: 11 · 2012: 14
FWCI
5.33
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, public-domain)
Funders
  • National Institutes of Health
  • National Cancer Institute
  • National Institute of Allergy and Infectious Diseases
Topics
  • Health Sciences › Medicine › Oncology › Chemokine receptors and signaling
  • Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
  • Health Sciences › Medicine › Pharmacology › Inflammatory mediators and NSAID effects
Keywords
CXCL16, CXCR6, chemokines, inflammation-associated cancer, prostate cancer, tumor-associated T cells, CD4+ T cells, tumor stroma, alpha-smooth muscle actin, prognostic factors, tumor cell proliferation, leukocyte migration
MeSH terms
Chemokine CXCL16, Receptors, CXCR6, Enzyme-Linked Immunosorbent Assay, Humans, Immunohistochemistry, Inflammation, Male, Prostatic Neoplasms, Receptors, Virus, Biomarkers, Tumor, CD4-Positive T-Lymphocytes, Receptors, Chemokine, Chemokines, CXC, Reverse Transcriptase Polymerase Chain Reaction, Receptors, Scavenger

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review