Evidence map›Paper›PMID 32104029›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Sera Anti-P53 Antibody Provides New Information Which Explains the Link Between Diabetes and Cancer.

Rani Sauriasari, Andisyah Putri Sekar, Nurul Aisyah, Rezi Riadhi Syahdi, Eiji Matsuura

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 2 countries.

Rani Sauriasari *Faculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.ORCID 0000-0001-7861-4369
Andisyah Putri Sekar *Faculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.
Nurul AisyahFaculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.
Rezi Riadhi SyahdiFaculty of Pharmacy, Universitas Indonesia, Depok, Indonesia.
Eiji MatsuuraNeutron Therapy Research Center, Collaborative Research Center for OMIC & Department of Cell Chemistry, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, Okayama, Japan.ORCID 0000-0003-1681-0684
University of Indonesia · IDOkayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAbnormalities in glucose metabolism in diabetic patients may lead to an increased risk of certain cancers. Epidemiological studies and meta-analysis have shown that factors such as gender, age, obesity, and insulin resistance are related to cancer incidence. The anti-p53 antibody is a known cancer marker due to tumor-associated p53 accumulation. Many studies have aimed to unravel the link between diabetes and cancer. Here, we aimed to elucidate the impact of diabetes on malignancies by analyzing anti-p53 antibody in sera of type 2 diabetes mellitus (T2DM) patients. MATERIALS AND

methodsWe conducted an observational study with a cross-sectional design. A total of 149 subjects comprised of 78 T2DM patients (32 with cancer risk and 46 subjects without cancer risk), 51 T2DM patients with cancer, and 20 healthy subjects as controls from multisites. The anti-p53 antibody was measured by enzyme-linked immunosorbent assay, while HbA1c was measured using the NGSP standardized method.

resultsWe observed an 8.3-fold (

conclusionOur results showed that anti-p53 antibody almost not detected in healthy subjects, but 8.3-fold increase in the sera of T2DM patients and 24-fold increase in T2DM patients with cancer. Therefore, this biomarker provides new information which explains the link between diabetes and cancer.

Indexed as

anti-p53 antibodiescancerdiabetes mellitusP53

Identifiers

PMID32104029
PMCPMC7023868
OpenAlexW3004890369

What OpenQuestion holds

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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.