Evidence map›Paper›PMID 30761130›Full record

SynthesisFrontiers in immunology2019

Unveiling the Link Between Inflammation and Adaptive Immunity in Breast Cancer.

Tadeo Enrique Velazquez-Caldelas, Sergio Antonio Alcalá-Corona, Jesús Espinal-Enríquez, Enrique Hernandez-Lemus

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in immunology, 2019. 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
0.9field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

4 authors at 2 institutions in 2 countries.

Tadeo Enrique Velazquez-CaldelasComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Sergio Antonio Alcalá-CoronaComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Jesús Espinal-EnríquezComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Enrique Hernandez-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

Inflammation has been recognized as an important driver in the development and growth of malignancies. Inflammatory signaling in cancer emerges from the combinatorial interaction of several deregulated pathways. Pathway deregulation is often driven by changes in the underlying gene regulatory networks. Confronted with such complex scenario, it can be argued that a closer analysis of the structure of such regulatory networks will shed some light on how gene deregulation led to sustained inflammation in cancer. Here, we inferred an inflammation-associated gene regulatory network from 641 breast cancer and 78 healthy samples. A modular structure analysis of the regulatory network was carried out, revealing a hierarchical modular structure. Modules show significant overrepresentation score

Indexed as

Adaptive ImmunityBiomarkersBreast NeoplasmsCD8-Positive T-LymphocytesCellular MicroenvironmentComputational BiologyDisease SusceptibilityFemaleGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansInflammationModels, BiologicalSignal TransductionBiomarkersadaptive immunitybreast cancerinflammationnetwork biologysystems biology

Identifiers

PMID30761130
PMCPMC6362261
OpenAlexW2911707618

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.