Evidence map›Paper›PMID 33983509›Full record

ArticleMedical oncology (Northwood, London, England)2021

Identification of the dominant angiogenic CXCL class chemokines associated with non-small cell lung cancer via bioinformatics tools.

Nese Unver

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 16 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

1 author at 1 institution in 1 country.

Nese UnverDepartment of Stem Cell Sciences, Graduate School of Health Sciences, Center for Stem Cell Research and Development, Hacettepe University, Sihhiye, 06100, Ankara, Turkey. nese.unver@hacettepe.edu.tr.ORCID http://orcid.org/0000-0002-4925-7179
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemokines play a critical role in lung cancer progression and metastasis. In non-small cell lung cancer, the determination of dominant angiogenic CXCL-type chemokines may increase the efficacy of targeted therapy and modulate the prognosis of lung cancer. Also, chemokine and chemokine receptors shape the immune response in the cross-talk between both cancer cells and immune cells in the tumor microenvironment. In this computational evaluation study based on databases containing mostly RNA-seq analyses, it is aimed to determine the dominant angiogenic CXCL-type chemokines with the highest expression in lung adenocarcinoma tissues and particularly in non-small cell lung cancer cells. CXCL1, CXCL5, CXCL7, and CXCL8, which can potentially be co-regulated and associated with poor survival, and phagocyte infiltration including neutrophils and macrophages are predominantly identified in non-small cell lung cancer. Moreover, the receptors of these chemokines, CXCR1 (binding CXCL8) and CXCR2 (binding CXCL1, 5, 7, 8), are positively correlated with the infiltration of neutrophils and macrophages. With the discovery of the common regulatory mechanisms of these angiogenic chemokines and validation studies in clinical examples, the chemokine panels specific to non-small cell lung cancer will become clear and have a decisive role in the prognosis of the disease.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungChemokines, CXCComputational BiologyDatabases, FactualGene Expression Regulation, NeoplasticHumansLung NeoplasmsNeovascularization, PathologicSmall Cell Lung CarcinomaBiomarkers, TumorChemokines, CXCAngiogenic chemokinesChemokinesCXCL-type ligandsNon-small cell lung cancer

Identifiers

PMID33983509
OpenAlexW3160740002

What OpenQuestion holds

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Registered trials

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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.