Evidence map›Paper›PMID 33777098›Full record

ArticleFrontiers in genetics2021

Loss of Long Distance Co-Expression in Lung Cancer.

Sergio Daniel Andonegui-Elguera, José María Zamora-Fuentes, Jesús Espinal-Enríquez, Enrique Hernández-Lemus

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Loss of long-range co-expression is a common feature in cancer.NPJ systems biology and applications · 2026
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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

4 authors at 2 institutions in 1 country.

Sergio Daniel Andonegui-ElgueraComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
José María Zamora-FuentesComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Jesús Espinal-EnríquezComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Enrique Hernández-LemusComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
National Institute of Genomic Medicine · MXUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the deadliest, most aggressive cancers. Abrupt changes in gene expression represent an important challenge to understand and fight the disease. Gene co-expression networks (GCNs) have been widely used to study the genomic regulatory landscape of human cancer. Here, based on 1,143 RNA-Seq experiments from the TCGA collaboration, we constructed GCN for the most common types of lung tumors: adenocarcinoma (TAD) and squamous cells (TSCs) as well as their respective control networks (NAD and NSC). We compared the number of intra-chromosome (

Indexed as

differentiation processes in cancergene co-expression networksloss of distant co-expressionlung adenocarcinomasquamous lung cancer

Identifiers

PMID33777098
PMCPMC7987938
OpenAlexW3135888762

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.