Evidence map›Paper›PMID 33419896›Full record

ArticleCancer genomics & proteomics

Impact of

Agne Pasvenskaite, Rasa Liutkeviciene, Greta Gedvilaite, Alvita Vilkeviciute, Vykintas Liutkevicius, Virgilijus Uloza

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Genetic Variants in CytokinesLife (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Association of interleukin-10Open life sciences · 2023
    Article
  4. Article
  5. Gene polymorphisms and prognosis of head and neck squamous cell carcinoma: a systematic review.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2022
    Review
  6. Review
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 1 institution in 1 country.

Agne PasvenskaiteDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania; agne.pasvenskaite@lsmuni.lt.
Rasa LiutkevicieneNeuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Greta GedvilaiteNeuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Alvita VilkeviciuteNeuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Vykintas LiutkeviciusDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Virgilijus UlozaDepartment of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimPrognosis of advanced stages of laryngeal squamous cell carcinoma (LSCC) remains poor. To clarify therapeutic targets and improve survival rate, identification of new specific and prognostic biomarkers of LSCC is required. The study aimed to evaluate the impact of IL-10:rs1800871, rs1800872, rs1800896 single nucleotide polymorphisms (SNPs), and IL-10 serum levels on LSCC development and determine associations of selected SNPs with patient survival rate. PATIENTS AND

methodsA total of 300 LSCC patients and 533 controls were included in the study. Genotyping was carried out using RT-PCR; IL-10 serum levels were analyzed by ELISA.

resultsSignificant associations were identified between IL-10 rs1800871 variants and advanced stage of LSCC patient group in the codominant, recessive and additive models (OR=0.473, p=0.027; OR=0.510, p=0.040; and OR=0.733; p=0.037). Significant variants of IL-10 rs1800872 were determined in the codominant, recessive and additive models (OR=0.473, p=0.027; OR=0.510, p=0.040; and OR=0.733, p=0.037). The distribution of IL-10 SNPs genotypes did not impact LSCC patient survival rate (respectively, p=0.952; p=0.952; p=0.991).

conclusionIL-10:rs1800871 and rs1800872 SNPs are associated with advanced stage of LSCC. The genotypic distribution of IL-10 SNPs does not influence the survival rate of LSCC patients.

Indexed as

FemaleHumansInterleukin-10Laryngeal NeoplasmsMalePolymorphism, GeneticSquamous Cell Carcinoma of Head and NeckSurvival RateIL10 protein, humanInterleukin-10gene polymorphismIL-10Laryngeal squamous cell carcinomalevelsrs1800871rs1800872rs1800896serumsurvival rate.

Identifiers

PMID33419896
PMCPMC7796822
OpenAlexW3120843830

What OpenQuestion holds

Textmetadata
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.