Evidence map›Paper›PMID 32765828›Full record

ArticleCell & bioscience2020

Inverse correlation between Interleukin-34 and gastric cancer, a potential biomarker for prognosis.

Qinghua Liu, Ying Zhang, Jiwei Zhang, Kun Tao, Brett D Hambly, Shisan Bao

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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  10. Clinical implications of interleukins-31, 32, and 33 in gastric cancer.World journal of gastrointestinal oncology · 2022
    Article
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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

6 authors at 4 institutions in 2 countries.

Qinghua LiuDepartment of Pathology, Xuzhou Medical University, Xuzhou, 221000 China.
Ying ZhangDepartment of Pathology, Xuzhou Medical University, Xuzhou, 221000 China.
Jiwei ZhangDepartment of Surgery, Songjiang Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 201600 China.
Kun TaoTongren Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, 200336 China.
Brett D HamblyDiscipline of Pathology, Bosch Institute and School of Medical Sciences, Charles Perkins Center D17, Sydney Medical School, The University of Sydney, Sydney, NSW 2006 Australia.
Shisan BaoDiscipline of Pathology, Bosch Institute and School of Medical Sciences, Charles Perkins Center D17, Sydney Medical School, The University of Sydney, Sydney, NSW 2006 Australia.ORCID 0000-0002-6687-3846
The University of Sydney · AUSongjiang District Central Hospital · CNTongren Hospital · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is a malignancy with high morbidity/mortality, partly due to a lack of reliable biomarkers for early diagnosis. It is important to develop reliable biomarker(s) with specificity, sensitivity and convenience for early diagnosis. The role of tumour-associated macrophages (TAMs) and survival of GC patients are controversial. Macrophage colony stimulating factor (MCSF) regulates monocytes/macrophages. Elevated MCSF is correlated with invasion, metastasis and poor survival of tumour patients. IL-34, a ligand of the M-CSF receptor, acts as a "twin" to M-CSF, demonstrating overlapping and complimentary actions. IL-34 involvement in tumours is controversial, possibly due to the levels of M-CSF receptors. While the IL-34/M-CSF/M-CSFR axis is very important for regulating macrophage differentiation, the specific interplay between these cytokines, macrophages and tumour development is unclear.

methodsA multi-factorial evaluation could provide more objective utility, particularly for either prediction and/or prognosis of gastric cancer. Precision medicine requires molecular diagnosis to determine the specifically mutant function of tumours, and is becoming popular in the treatment of malignancy. Therefore, elucidating specific molecular signalling pathways in specific cancers facilitates the success of a precision medicine approach. Gastric cancer tissue arrays were generated from stomach samples with TNM stage, invasion depth and the demography of these patients (n = 185). Using immunohistochemistry/histopathology, M-CSF, IL-34 and macrophages were determined.

resultsWe found that IL-34 may serve as a predictive biomarker, but not as an independent, prognostic factor in GC; M-CSF inversely correlated with survival of GC in TNM III-IV subtypes. Increased CD68

conclusionOur data support the potency of IL-34, M-CSF, TAMs and the combination of IL-34/TAMs as novel biological markers for GC, and may provide new insight for both diagnosis and cellular therapy of GC.

Identifiers

PMID32765828
PMCPMC7399616
OpenAlexW3047044676

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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.