Evidence map›Paper›PMID 33882870›Full record

ArticleBMC cancer2021

DNA methylation of tumor associated calcium signal transducer 2 (TACSTD2) loci shows association with clinically aggressive renal cell cancers.

Olga Katzendorn, Inga Peters, Natalia Dubrowinskaja, Hossein Tezval, Pouriya Faraj Tabrizi, Christoph A von Klot, Jörg Hennenlotter, Marcel Lafos, Markus A Kuczyk, Jürgen Serth

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Contrastive Dimension Reduction: A Systematic Review.Wiley interdisciplinary reviews. Computational statistics · 2026
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  11. DNA Methylation inCancers · 2021
    Article
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

10 authors at 2 institutions in 1 country.

Olga Katzendorn *Department of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Inga Peters *Department of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany. Peters.Inga@mh-hannover.de.
Natalia DubrowinskajaDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Hossein TezvalDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Pouriya Faraj TabriziDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Christoph A von KlotDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Jörg HennenlotterDepartment of Urology, Eberhard Karls University of Tuebingen, Tuebingen, Germany.
Marcel LafosDepartment of Pathology, Hannover Medical School, Hannover, Germany.
Markus A KuczykDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Jürgen SerthDepartment of Urology and Urologic Oncology, Hannover Medical School, 30625, Hannover, Germany.
Medizinische Hochschule Hannover · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation is frequently observed in the development and progression of many human tumors as well as renal cell cancer (RCC). Tumor Associated Calcium Signal Transducer 2 (TACSTD2) participates in cell cycle progression through MAPK signalling pathway activation. Moreover, tumor-specific hypermethylation and association with aggressive cancer characteristics has been found for lung adenocarcinoma, hepatocellular carcinoma and cholangiocarcinoma. Whether TACSTD2 is tumor specifically hypermethylated in RCC or shows association of methylation with adverse clinicopathological parameters and survival of patients has not been investigated at yet.

methodsQuantitative methylation-specific PCR (qMSP) analysis of a locus in the intron 1 region of TACSTD2 gene was carried out in a cross-sectional study of 127 paired RCC and normal samples. In silico analysis of TACSTD2 methylation in the TCGA Kidney Renal Clear Cell Carcinoma (KIRC) dataset of 280 patients served as validation cohort. Statistical analyses were carried out using the two-sided paired t-test for matched tumor and normal sample comparisons, logistic regression for subgroup comparisons, Cox regression for analysis of recurrence free survival (RFS) and Pearson correlation analysis for correlation of TACSTD2 methylation and TACSTD2 mRNA in KIRC data.

resultsHigher methylation levels in RCC were significantly associated with advanced disease (p < 0.001), high tumor stage (p = 0.003), tumor differentiation (p = 0.033) and presence of lymph node (p = 0.021) or distant metastases (p = 0.008). TACSTD2 hypermethylation was associated with a shorter RFS of patients and demonstrate statistical independency from clinical parameters as state of metastasis, tumor stage, grade and state of advanced disease. In silico validation using TCGA KIRC data also demonstrated association of TACSTD2 loci with adverse clinicopathology and shortened RFS of patients. In addition, in silico analyses of TCGA KIRC data showed an inverse correlation between DNA methylation levels of TACSTD2 and mRNA expression.

conclusionsOur results suggest an association between TACSTD2 methylation and disease progression and clinical course of RCC.

Indexed as

Calcium SignalingDNA MethylationAdultAgedAged, 80 and overAntigens, NeoplasmBiomarkers, TumorCalciumCarcinoma, Renal CellCell Adhesion MoleculesCpG IslandsDisease ProgressionDisease SusceptibilityFemaleHumansMaleAntigens, NeoplasmBiomarkers, TumorCalciumCell Adhesion MoleculesTACSTD2 protein, humanDNA methylationPrognosisRenal cell carcinomaSurvivalTACSTD2

Identifiers

PMID33882870
PMCPMC8061065
OpenAlexW3156531083

What OpenQuestion holds

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LicenceCC BY
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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.