Evidence map›Paper›PMID 34480662›Full record

ReviewCurrent oncology reports2021

Chemokine Receptor Antagonists: Role in Oncology.

Sean Kraus, Thomas Kolman, Austin Yeung, Dustin Deming

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sean KrausDivision of Hematology, Oncology and Palliative Care, Department of Medicine, University of WI-Madison, Madison, WI, USA.
Thomas KolmanDivision of Hematology, Oncology and Palliative Care, Department of Medicine, University of WI-Madison, Madison, WI, USA.
Austin YeungDivision of Hematology, Oncology and Palliative Care, Department of Medicine, University of WI-Madison, Madison, WI, USA.
Dustin DemingDivision of Hematology, Oncology and Palliative Care, Department of Medicine, University of WI-Madison, Madison, WI, USA. ddeming@medicine.wisc.edu.ORCID http://orcid.org/0000-0003-2394-9836
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
6 · The paper itself

Abstract

purpose of reviewTo evaluate the clinical potential of chemokine receptor antagonists for the treatment of patients with cancer. RECENT

findingsChemokine receptors and their ligands can have a significant impact on the infiltration of cells into the tumor microenvironment. The receptors are increasingly being investigated as targets for the treatment of cancers. Recent studies are demonstrating the promise of chemokine receptor antagonists in this setting. There are many chemokine receptors, and each can have different functions depending on the cellular context. Targeting chemokine receptors is a promising strategy in both pre-clinical research and clinical trials. Inhibiting chemokine receptors that either recruit suppressive cells or improve cancer mobility and viability while sparing those necessary for proper immune trafficking may prove to dramatically improve treatment responses. Further research in this area is warranted and has the potential to dramatically improve patient outcomes.

Indexed as

AnimalsAntineoplastic AgentsHumansMolecular Targeted TherapyNeoplasmsReceptors, ChemokineAntineoplastic AgentsReceptors, ChemokineCancerChemokine receptor antagonistOncology

Identifiers

PMID34480662
OpenAlexW3198381725

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.