Evidence map›Paper›PMID 25521664›Full record

ArticleBMC genomics2014

Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients.

Tzia Liang Mah, Xin Ning Adeline Yap, Vachiranee Limviphuvadh, Nanpu Li, Srinath Sridharan, Vellaisemy Kuralmani, Mengling Feng, Natalia Liem, Sharmila Adhikari, Wei Peng Yong and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

14 authors at 6 institutions in 1 country.

Tzia Liang Mah
Xin Ning Adeline Yap
Vachiranee Limviphuvadh
Nanpu Li
Srinath Sridharan
Vellaisemy Kuralmani
Mengling Feng
Natalia Liem
Sharmila Adhikari
Wei Peng Yong
Ross A Soo
Sebastian Maurer-Stroh
Frank Eisenhaber
Joo Chuan Tong
Institute for Infocomm Research · SGBioinformatics Institute · SGNanyang Technological University · SGNational University Health System · SGNational University Cancer Institute, Singapore · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is a major cause of cancer-related death worldwide due to poor patient prognosis and clinical outcome. Here, we studied the genetic variations underlying NSCLC pathogenesis based on their association to patient outcome after gemcitabine therapy.

resultsBioinformatics analysis was used to investigate possible effects of POLA2 G583R (POLA2+1747 GG/GA, dbSNP ID: rs487989) in terms of protein function. Using biostatistics, POLA2+1747 GG/GA (rs487989, POLA2 G583R) was identified as strongly associated with mortality rate and survival time among NSCLC patients. It was also shown that POLA2+1747 GG/GA is functionally significant for protein localization via green fluorescent protein (GFP)-tagging and confocal laser scanning microscopy analysis. The single nucleotide polymorphism (SNP) causes DNA polymerase alpha subunit B to localize in the cytoplasm instead of the nucleus. This inhibits DNA replication in cancer cells and confers a protective effect in individuals with this SNP.

conclusionsThe results suggest that POLA2+1747 GG/GA may be used as a prognostic biomarker of patient outcome in NSCLC pathogenesis.

Indexed as

Computational BiologyPolymorphism, Single NucleotideActive Transport, Cell NucleusAdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell NucleusDeoxycytidineDNA Polymerase IFemaleGemcitabineGenotypeHumansLung NeoplasmsMaleBiomarkers, TumorDeoxycytidineDNA Polymerase IGemcitabine

Identifiers

PMID25521664
PMCPMC4290611
OpenAlexW2000130696

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.