Evidence map›Paper›PMID 27145460›Full record

ArticleOncotarget2016

Significance of microRNA-related variants in susceptibility to recurrence of oropharyngeal cancer patients after definitive radiotherapy.

Xingming Chen, Erich M Sturgis, Chengyuan Wang, Xiaoli Cao, Yuncheng Li, Qingyi Wei, Guojun Li

Abstract read
In one paragraph

Article in Oncotarget, 2016. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
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  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

7 authors.

Xingming ChenDepartment of Otolaryngology-Head and Neck Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Erich M SturgisDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Chengyuan WangDepartment of Otolaryngology-Head and Neck Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Xiaoli CaoDepartment of Otolaryngology-Head and Neck Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Yuncheng LiDepartment of Otolaryngology-Head and Neck Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
Guojun LiDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

Molecular Epidemiology of Head and Neck CancerR01ES011740 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2001 to 2012
$6.3M
Predictors of HPV16 Status and Outcomes of Oropharyngeal Cancer PatientsK07CA133099 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LI, GUOJUN · 2008 to 2012
$680k
Inflammatory Response miRNAs Predict HPV-associated Oropharyngeal Cancer OutcomeR03CA186261 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LI, GUOJUN · 2015 to 2016
$164k
Use of Serum HPV16 DNA as a Marker for Oropharyngeal Cancer RecurrenceR03CA128110 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI STURGIS, ERICH MADISON · 2007 to 2008
$154k
Cytokine Variants as Predictors of HPV-16 Status & Outcome of Oropharyngeal CanceR03CA135679 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LI, GUOJUN · 2008 to 2009
$154k
NCI NIH HHS K07 CA133099NCI NIH HHS R03 CA128110NCI NIH HHS R03 CA135679NCI NIH HHS R03 CA186261NIEHS NIH HHS R01 ES011740
6 · The paper itself

Abstract

Common single nucleotide polymorphisms (SNPs) in miRNAs may affect miRNA functions and their target expression and thus may affect biological activities and cancer etiology as well as prognosis. Thus, we determined whether the 9 SNPs in microRNAs modify the risk of recurrence of squamous cell carcinoma of the oropharynx (SCCOP) in a cohort of 1008 patients. The log-rank test and multivariate Cox models were used to evaluate the associations. We found that the SNPs in the miRNA146, miRNA196, and Gemin3 were associated with a significantly reduced and increased risk of SCCOP recurrence after multivariate adjustment (aHR, 0.6, 95%CI, 0.4-0.9, aHR, 2.1, 95%CI, 1.6-2.8, and aHR, 0.6, 95%CI, 0.5-0.9, respectively). Furthermore, the similar effect of these 3 SNPs on SCCOP recurrence risk was found in HPV-positive SCCOP patients only. However, no significant associations were found for other SNPs. To evaluate the aggregate effects of these SNPs, we performed a combined risk genotype analysis. We found that, compared with the low-risk reference group with less than 4 risk genotypes, the medium-risk group with 4 or 5 risk genotypes exhibited a 1.7-fold (1.2-2.4) increased risk whereas the high-risk group with more than 5 risk genotypes exhibited a 3.0-fold (1.7-4.2) increased risk (Ptrend < 0.001). Such combined effects were particularly pronounced in HPV-positive SCCOP patients. Taken together, this is the first study with a large cohort of SCCOP patients showing that miRNA-related genetic variants may modify risk of SCCOP recurrence individually and jointly. Larger studies are needed to validate these results.

Indexed as

AdultAgedCarcinoma, Squamous CellDEAD Box Protein 20Disease-Free SurvivalFemaleGenetic Predisposition to DiseaseGenotypeHead and Neck NeoplasmsHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedNeoplasm Recurrence, LocalOropharyngeal NeoplasmsDEAD Box Protein 20MicroRNAsMIRN146 microRNA, humanMIRN196 microRNA, humanHPVmiRNAoropharyngeal cancerrecurrencevariants

Identifiers

PMID27145460
PMCPMC5085206

What OpenQuestion holds

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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.