Evidence map›Paper›PMID 31680775›Full record

ArticleThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology2019

Expression of potassium channel genes predicts clinical outcome in lung cancer.

Eun-A Ko, Young-Won Kim, Donghee Lee, Jeongyoon Choi, Seongtae Kim, Yelim Seo, Hyoweon Bang, Jung-Ha Kim, Jae-Hong Ko

Open access · diamondAbstract read
In one paragraph

Article in The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Targeting KCell death discovery · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Ion Channels in Lung Cancer.Reviews of physiology, biochemistry and pharmacology · 2021
    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

9 authors at 2 institutions in 2 countries.

Eun-A KoDepartment of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada 89557, USA.
Young-Won KimDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Donghee LeeDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Jeongyoon ChoiDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Seongtae KimDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Yelim SeoDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Hyoweon BangDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Jung-Ha KimDepartment of Family Medicine, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Seoul 06973, Korea.
Jae-Hong KoDepartment of Physiology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Chung-Ang University · KRUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common cause of cancer deaths worldwide and several molecular signatures have been developed to predict survival in lung cancer. Increasing evidence suggests that proliferation and migration to promote tumor growth are associated with dysregulated ion channel expression. In this study, by analyzing high-throughput gene expression data, we identify the differentially expressed K

Indexed as

BiomarkerGene expressionK+ channelLung cancerMolecular signature

Identifiers

PMID31680775
PMCPMC6819903
OpenAlexW2982439202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.