Evidence map›Paper›PMID 30518396›Full record

ArticleJournal of translational medicine2018

Associations of clock genes polymorphisms with soft tissue sarcoma susceptibility and prognosis.

Clara Benna, Senthilkumar Rajendran, Giovanna Spiro, Saveria Tropea, Paolo Del Fiore, Carlo Riccardo Rossi, Simone Mocellin

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. 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
1.2field-weighted citation impact, top 22% 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, 28 citations in OpenAlex.

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  8. Whole exome sequencing identified a novelFrontiers in oncology · 2022
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  13. Circadian Gene Polymorphisms Associated with Breast Cancer Susceptibility.International journal of molecular sciences · 2019
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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

7 authors at 2 institutions in 1 country.

Clara BennaDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy. clara.benna@unipd.it.ORCID 0000-0002-9077-2471
Senthilkumar RajendranDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.
Giovanna SpiroDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.
Saveria TropeaDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.
Paolo Del FioreSurgical Oncology Unit, Istituto Oncologico Veneto (IOV-IRCCS), Padua, Italy.
Carlo Riccardo RossiDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.
Simone MocellinDepartment of Surgery Oncology and Gastroenterology, University of Padova, Padua, Italy.
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

Università degli Studi di Padova BIRD168075
6 · The paper itself

Abstract

backgroundDysfunction of the circadian clock and polymorphisms of some circadian genes have been linked to cancer development and progression. We investigated the relationship between circadian genes germline variation and susceptibility or prognosis of patients with soft tissue sarcoma. PATIENTS AND

methodsWe considered the 14 single nucleotide polymorphisms (SNPs) of 6 core circadian genes that have a minor allele frequency > 5% and that are known to be associated with cancer risk or prognosis. Genotyping was performed by q-PCR. Peripheral blood and clinic-pathological data were available for 162 patients with liposarcoma or leiomyosarcoma and 610 healthy donors. Associations between the selected clock genes polymorphisms and sarcoma susceptibility or prognosis were tested assuming 3 models of inheritance: additive, recessive and dominant. Subgroup analysis based on sarcoma histotype was performed under the additive genetic model. Multivariate logistic regression and multivariate Cox proportional hazard regression analyses were utilized to assess the association between SNPs with patient susceptibility and survival, respectively. Pathway variation analysis was conducted employing the Adaptive Rank Truncated Product method.

resultsSix out of the 14 analyzed SNPs were statistically significantly associated with susceptibility or prognosis of soft tissue sarcoma (P < 0.05). The present analysis suggested that carriers of the minor allele of the CLOCK polymorphism rs1801260 (C) or of PER2 rs934945 (T) had a reduced predisposition to sarcoma (26% and 35% respectively with the additive model) and liposarcoma (33% and 41% respectively). The minor allele (A) of NPAS2 rs895520 was associated with an increased predisposition to sarcoma of 33% and leiomyosarcoma of 44%. RORA rs339972 C allele was associated with a decreased predisposition to develop sarcoma assuming an additive model (29%) and leiomyosarcoma (36%). PER1 rs3027178 was associated with a reduced predisposition only in liposarcoma subgroup (32%). rs7602358 located upstream PER2 was significantly associated with liposarcoma survival (HR: 1.98; 95% CI 1.02-3.85; P = 0.04). Germline genetic variation in the circadian pathway was associated with the risk of developing soft tissue sarcoma (P = 0.035).

conclusionsGenetic variation of circadian genes appears to play a role in the determinism of patient susceptibility and prognosis. These findings prompt further studies to fully dissect the molecular mechanisms.

Indexed as

Genetic Predisposition to DiseaseCase-Control StudiesCircadian ClocksCLOCK ProteinsFemaleHumansInheritance PatternsMaleMiddle AgedModels, GeneticPolymorphism, Single NucleotidePrognosisSarcomaCLOCK ProteinsCircadian clock geneCircadian pathwayGenetic variationLeiomyosarcomaLiposarcomaPrognosisRiskSingle nucleotide polymorphism (SNP)Soft tissue sarcomaSusceptibility

Identifiers

PMID30518396
PMCPMC6280400
OpenAlexW2902599894

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.