Evidence map›Paper›PMID 36119512›Full record

ArticleFrontiers in oncology2022

Genomic mapping of copy number variations influencing immune response in breast cancer.

Igor López-Cade, Vanesa García-Barberán, Esther Cabañas Morafraile, Cristina Díaz-Tejeiro, Cristina Saiz-Ladera, Adrián Sanvicente, Pedro Pérez Segura, Atanasio Pandiella, Balázs Győrffy, Alberto Ocaña

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 2 countries.

Igor López-CadeExperimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Vanesa García-BarberánMolecular Oncology Laboratory, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Esther Cabañas MorafraileCenter for Biological Research, Margarita Salas Centro de Investigaciones Biologicas (CIB)-Consejo Superior de Investigaciones Cientificas (CSIC), Spanish National Research Council, Madrid, Spain.
Cristina Díaz-TejeiroExperimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Cristina Saiz-LaderaExperimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Adrián SanvicenteExperimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Pedro Pérez SeguraMedical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Atanasio PandiellaInstituto de Biología Molecular y Celular del Cáncer [IBMCC-Centro de Investigacion del Cancer (CIC)], Instituto de Investigación Biomédica de Salamanca (IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) Salamanca, Salamanca, Spain.
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Budapest, Hungary.
Alberto OcañaExperimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESConsejo Superior de Investigaciones Científicas · ESInstitute of Molecular Life Sciences · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of genomic alterations that influence the immune response within the tumor microenvironment is mandatory in order to identify druggable vulnerabilities. In this article, by interrogating public genomic datasets we describe copy number variations (CNV) present in breast cancer (BC) tumors and corresponding subtypes, associated with different immune populations. We identified regulatory T-cells associated with the Basal-like subtype, and type 2 T-helper cells with HER2 positive and the luminal subtype. Using gene set enrichment analysis (GSEA) for the Type 2 T-helper cells, the most relevant processes included the ERBB2 signaling pathway and the Fibroblast Growth Factor Receptor (FGFR) signaling pathway, and for CD8+ T-cells, cellular response to growth hormone stimulus or the JAK-STAT signaling pathway. Amplification of

Indexed as

breast cancerCNVsGene Amplificationimmune responsenew surface targets

Identifiers

PMID36119512
PMCPMC9476651
OpenAlexW4294025240

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.