Evidence map›Paper›PMID 33414918›Full record

ArticleMolecular and clinical oncology2021

Association between serum soluble Toll-like receptor 2 and 4 and the risk of breast cancer.

Ghada El-Kharashy, Ahmed Gowily, Tarek Okda, Maha Houssen

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

12 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 2 institutions in 1 country.

Ghada El-KharashyDepartment of Biochemistry, Faculty of Pharmacy, Damanhour University, Damanhour 22511, Egypt.
Ahmed GowilyDepartment of Oncology Medicine, Faculty of Medicine, Alexandria University, Alexandria 21111, Egypt.
Tarek OkdaDepartment of Biochemistry, Faculty of Pharmacy, Damanhour University, Damanhour 22511, Egypt.
Maha HoussenDepartment of Biochemistry, Faculty of Pharmacy, Damanhour University, Damanhour 22511, Egypt.
Damanhour University · EGAlexandria University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soluble Toll-like receptor (sTLR) 2 and 4 are endogenous negative regulators of TLR2 and TLR4 signaling. Therefore, the present study aimed to determine the serum levels of sTLR2 and 4, and to investigate the association between their levels and the clinicopathological parameters of patients with breast cancer. A total of 100 female patients with breast cancer (50 non-metastatic and 50 metastatic), as well as 50 healthy control volunteers were enrolled in the present study, and serum levels of sTLR2 and 4 were determined by ELISA. A significant increase in serum sTLR2 was detected in patients with non-metastatic (2,258.2±1,832.44 pg/ml) and metastatic (5,997.4±8,585.23 pg/ml) breast cancer, compared with the control group (1,106.8± 99.93 pg/ml; P=0.0001). A significant increase in serum sTLR4 was also detected in patients with both non-metastatic (1,945.2±1,709.53 pg/ml) and metastatic breast cancer (7,800.1±13,041.28 pg/ml), compared with the control group (1,106.8±108.32 pg/ml; P=0.0001). Furthermore, a positive correlation was observed between the levels of serum sTLR4 and 2 and clinicopathological parameters, such as progesterone receptor and estrogen receptor expression. In conclusion, sTLR2 and sTLR4 may be potential biomarkers of breast cancer susceptibility.

Indexed as

breast cancermetastaticnon-metastaticsoluble Toll-like receptor 2soluble Toll-like receptor 4

Identifiers

PMID33414918
PMCPMC7783720
OpenAlexW3118215769

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.