Evidence map›Paper›PMID 22139933›Full record

ArticleNucleic acids research2012

IGDB.NSCLC: integrated genomic database of non-small cell lung cancer.

Sen Kao, Cheng-Kai Shiau, De-Leung Gu, Chun-Ming Ho, Wen-Hui Su, Chian-Feng Chen, Chi-Hung Lin, Yuh-Shan Jou

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. MicroRNA Databases and Tools.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  2. Article
  3. Article
  4. CancerLivER: a database of liver cancer gene expression resources and biomarkers.Database : the journal of biological databases and curation · 2020
    Article
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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

8 authors.

Sen KaoGraduate Institute of Life Sciences, National Defense Medical Center, Institute of Biomedical Sciences, Academia Sinica, Taiwan.
Cheng-Kai Shiau
De-Leung Gu
Chun-Ming Ho
Wen-Hui Su
Chian-Feng Chen
Chi-Hung Lin
Yuh-Shan Jou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common cause of cancer-related mortality with more than 1.4 million deaths per year worldwide. To search for significant somatic alterations in lung cancer, we analyzed, integrated and manually curated various data sets and literatures to present an integrated genomic database of non-small cell lung cancer (IGDB.NSCLC, http://igdb.nsclc.ibms.sinica.edu.tw). We collected data sets derived from hundreds of human NSCLC (lung adenocarcinomas and/or squamous cell carcinomas) to illustrate genomic alterations [chromosomal regions with copy number alterations (CNAs), gain/loss and loss of heterozygosity], aberrant expressed genes and microRNAs, somatic mutations and experimental evidence and clinical information of alterations retrieved from literatures. IGDB.NSCLC provides user friendly interfaces and searching functions to display multiple layers of evidence especially emphasizing on concordant alterations of CNAs with co-localized altered gene expression, aberrant microRNAs expression, somatic mutations or genes with associated clinicopathological features. These significant concordant alterations in NSCLC are graphically or tabularly presented to facilitate and prioritize as the putative cancer targets for pathological and mechanistic studies of lung tumorigenesis and for developing new strategies in clinical interventions.

Indexed as

Databases, GeneticCarcinoma, Non-Small-Cell LungGene Expression ProfilingGenes, NeoplasmGenetic VariationGenomicsHumansLung NeoplasmsMicroRNAsMutationSystems IntegrationMicroRNAs

Identifiers

PMID22139933
PMCPMC3245121

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.