Evidence map›Paper›PMID 34604049›Full record

ArticleFrontiers in oncology2021

Genetic Variants of

Xianghan Li, Yiran Zou, Teng Li, Thomas K F Wong, Ryan T Bushey, Michael J Campa, Elizabeth B Gottlin, Hongliang Liu, Qingyi Wei, Allen Rodrigo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Mitochondrial Protease ClpP: Cancer Marker and Drug Target.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

11 authors at 4 institutions in 3 countries.

Xianghan LiResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Yiran ZouResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Teng LiResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Thomas K F WongResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Ryan T BusheyDepartment of Radiology, Duke University Medical Center, Durham, NC, United States.
Michael J CampaDepartment of Radiology, Duke University Medical Center, Durham, NC, United States.
Elizabeth B GottlinDepartment of Radiology, Duke University Medical Center, Durham, NC, United States.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, NC, United States.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC, United States.
Allen RodrigoResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Edward F PatzDepartment of Radiology, Duke University Medical Center, Durham, NC, United States.
Duke Medical Center · USAustralian National University · AUUniversity of Auckland · NZDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle nucleotide polymorphisms (SNPs) are often associated with distinct phenotypes in cancer. The present study investigated associations of cancer risk and outcomes with SNPs discovered by whole exome sequencing of normal lung tissue DNA of 15 non-small cell lung cancer (NSCLC) patients, 10 early stage and 5 advanced stage.

methodsDNA extracted from normal lung tissue of the 15 NSCLC patients was subjected to whole genome amplification and sequencing and analyzed for the occurrence of SNPs. The association of SNPs with the risk of lung cancer and survival was surveyed using the OncoArray study dataset of 85,716 patients (29,266 cases and 56,450 cancer-free controls) and the Prostate, Lung, Colorectal and Ovarian study subset of 1,175 lung cancer patients.

resultsWe identified 4 SNPs exclusive to the 5 patients with advanced stage NSCLC: rs10420388 and rs10418574 in the

conclusionsSNPs identified in the

Indexed as

CLPPlung cancer riskM1APnon-small cell lung cancersingle nucleotide polymorphism

Identifiers

PMID34604049
PMCPMC8479179
OpenAlexW3199897228

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.