Evidence map›Paper›PMID 33766090›Full record

ArticleBreast cancer research : BCR2021

High IRF8 expression correlates with CD8 T cell infiltration and is a predictive biomarker of therapy response in ER-negative breast cancer.

Gerardo Gatti, Courtney Betts, Darío Rocha, Maribel Nicola, Verónica Grupe, Cecilia Ditada, Nicolas G Nuñez, Emiliano Roselli, Paula Araya, Jeremías Dutto and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-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

22 citing papers in PubMed, 24 citations in OpenAlex.

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  13. CD11cOncoimmunology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 3 countries.

Gerardo GattiLaboratorio de Investigación en Cáncer, Fundación para el progreso de la Medicina, X5000EMS, Córdoba, Argentina. gerardogatti@fpmlab.org.ar.
Courtney BettsDepartment of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.
Darío RochaFacultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina.
Maribel NicolaLaboratorio de Investigación en Cáncer, Fundación para el progreso de la Medicina, X5000EMS, Córdoba, Argentina.
Verónica GrupeLaboratorio de Investigación en Cáncer, Fundación para el progreso de la Medicina, X5000EMS, Córdoba, Argentina.
Cecilia DitadaLaboratorio de Investigación en Cáncer, Fundación para el progreso de la Medicina, X5000EMS, Córdoba, Argentina.
Nicolas G NuñezInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland.
Emiliano RoselliDepartamento de Bioquímica Clínica, Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, 5000, Argentina.
Paula ArayaDepartamento de Bioquímica Clínica, Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, 5000, Argentina.
Jeremías DuttoDepartamento de Bioquímica Clínica, Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, 5000, Argentina.
Lucia BoffelliDepartamento de Bioquímica Clínica, Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, 5000, Argentina.
Elmer FernándezConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Lisa M CoussensDepartment of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.
Mariana MaccioniDepartamento de Bioquímica Clínica, Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, 5000, Argentina.
Fundación para la Investigación, Docencia y Prevención del Cáncer · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad Nacional de Córdoba · AROregon Health & Science University · USUniversidad Católica de Córdoba · ARUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterization of breast cancer (BC) through the determination of conventional markers such as ER, PR, HER2, and Ki67 has been useful as a predictive and therapeutic tool. Also, assessment of tumor-infiltrating lymphocytes has been proposed as an important prognostic aspect to be considered in certain BC subtypes. However, there is still a need to identify additional biomarkers that could add precision in distinguishing therapeutic response of individual patients. To this end, we focused in the expression of interferon regulatory factor 8 (IRF8) in BC cells. IRF8 is a transcription factor which plays a well-determined role in myeloid cells and that seems to have multiple antitumoral roles: it has tumor suppressor functions; it acts downstream IFN/STAT1, required for the success of some therapeutic regimes, and its expression in neoplastic cells seems to depend on a cross talk between the immune contexture and the tumor cells. The goal of the present study was to examine the relationship between IRF8 with the therapeutic response and the immune contexture in BC, since its clinical significance in this type of cancer has not been thoroughly addressed.

methodsWe identified the relationship between IRF8 expression and the clinical outcome of BC patients and validated IRF8 as predictive biomarker by using public databases and then performed in silico analysis. To correlate the expression of IRF8 with the immune infiltrate in BC samples, we performed quantitative multiplex immunohistochemistry.

resultsIRF8 expression can precisely predict the complete pathological response to monoclonal antibody therapy or to select combinations of chemotherapy such as FAC (fluorouracil, adriamycin, and cytoxan) in ER-negative BC subtypes. Analysis of immune cell infiltration indicates there is a strong correlation between activated and effector CD8

conclusionsWe propose IRF8 expression as a potent biomarker not only for prognosis, but also for predicting therapy response in ER-negative BC phenotypes. Its expression in neoplastic cells also correlates with CD8

Indexed as

Biomarkers, TumorBreast NeoplasmsCD8-Positive T-LymphocytesCell Line, TumorDisease ProgressionFemaleHumansInterferon Regulatory Factor-8Interferon Regulatory FactorsLymphocytes, Tumor-InfiltratingPrognosisReceptors, EstrogenTreatment OutcomeBiomarkers, TumorInterferon Regulatory Factor-8Interferon Regulatory FactorsReceptors, EstrogenBreast cancerDNA methylationIRF8Predictive markerTumor-infiltrate

Identifiers

PMID33766090
PMCPMC7992828
OpenAlexW3139129133

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.