Evidence map›Paper›PMID 28074552›Full record

ArticleCancer medicine2017

Validation of microRNA pathway polymorphisms in esophageal adenocarcinoma survival.

Olusola O Faluyi, Lawson Eng, Xin Qiu, Jiahua Che, Qihuang Zhang, Dangxiao Cheng, Nanjiao Ying, Alvina Tse, Qin Kuang, Lorin Dodbiba and 10 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

20 authors at 8 institutions in 3 countries.

Olusola O FaluyiDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Lawson EngDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Xin QiuDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Jiahua CheDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Qihuang ZhangDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Dangxiao ChengDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Nanjiao YingDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Alvina TseDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Qin KuangDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Lorin DodbibaDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Daniel J RenoufBritish Columbia Cancer Agency, Department of Medical Oncology, University of British Columbia, Vancouver, British Columbia, Canada.
Sharon MarshFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
Sevtap SavasDiscipline of Genetics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Helen J MackayDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Jennifer J KnoxDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Gail E DarlingDivision of Thoracic Surgery, Department of Surgery, Toronto General Hospital, Toronto, Ontario, Canada.
Rebecca K S WongDepartment of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Wei XuDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Abul Kalam AzadDivision of Applied Molecular Oncology, Ontario Cancer Institute-Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Geoffrey LiuDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre · CAOntario Institute for Cancer Research · CAUniversity of Toronto · CAMemorial University of Newfoundland · CAPublic Health Ontario · CAToronto General Hospital · CAUniversity of Alberta · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms in miRNA and miRNA pathway genes have been previously associated with cancer risk and outcome, but have not been studied in esophageal adenocarcinoma outcomes. Here, we evaluate candidate miRNA pathway polymorphisms in esophageal adenocarcinoma prognosis and attempt to validate them in an independent cohort of esophageal adenocarcinoma patients. Among 231 esophageal adenocarcinoma patients of all stages/treatment plans, 38 candidate genetic polymorphisms (17 biogenesis, 9 miRNA targets, 5 pri-miRNA, 7 pre-miRNA) were genotyped and analyzed. Cox proportional hazard models adjusted for sociodemographic and clinicopathological covariates helped assess the association of genetic polymorphisms with overall survival (OS) and progression-free survival (PFS). Significantly associated polymorphisms were then evaluated in an independent cohort of 137 esophageal adenocarcinoma patients. Among the 231 discovery cohort patients, 86% were male, median diagnosis age was 64 years, 34% were metastatic at diagnosis, and median OS and PFS were 20 and 12 months, respectively. GEMIN3 rs197412 (aHR = 1.37, 95%CI: [1.04-1.80]; P = 0.02), hsa-mir-124-1 rs531564 (aHR = 0.60, 95% CI: [0.53-0.90]; P = 0.05), and KIAA0423 rs1053667 (aHR = 0.51, 95% CI: [0.28-0.96]; P = 0.04) were found associated with OS. Furthermore, GEMIN3 rs197412 (aHR = 1.33, 95% CI: [1.03-1.74]; P = 0.03) and KRT81 rs3660 (aHR = 1.29, 95% CI: [1.01-1.64]; P = 0.04) were found associated with PFS. Although none of these polymorphisms were significant in the second cohort, hsa-mir-124-1 rs531564 and KIAA0423 rs1053667 had trends in the same direction; when both cohorts were combined together, GEMIN3 rs197412, hsa-mir-124-1 rs531564, and KIAA0423 rs1053667 remained significantly associated with OS. We demonstrate the association of multiple miRNA pathway polymorphisms with esophageal adenocarcinoma prognosis in a discovery cohort of patients, which did not validate in a separate cohort but had consistent associations in the pooled cohort. Larger studies are required to confirm/validate the prognostic value of these polymorphisms in esophageal adenocarcinoma.

Indexed as

Gene Regulatory NetworksPolymorphism, Single NucleotideAdenocarcinomaAdultAgedAged, 80 and overDisease-Free SurvivalEsophageal NeoplasmsFemaleHumansMaleMicroRNAsMiddle AgedNeoplasm MetastasisPrognosisProportional Hazards ModelsMicroRNAsEsophageal adenocarcinomamiRNA pathwayspolymorphismsprognosis

Identifiers

PMID28074552
PMCPMC5313634
OpenAlexW2574193371

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.