Evidence map›Paper›PMID 25091015›Full record

ArticleBMJ open2014

Development of automated quantification methodologies of immunohistochemical markers to determine patterns of immune response in breast cancer: a retrospective cohort study.

Carlos López, Cristina Callau, Ramon Bosch, Anna Korzynska, Joaquín Jaén, Marcial García-Rojo, Gloria Bueno, Ma Teresa Salvadó, Tomás Álvaro, Montse Oños and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Carlos LópezUnitat de Suport a la Recerca Terres de l'Ebre, IISPV, Institut Universitari d'Investigació en Atenció Primària (IDIAP) Jordi Gol, URV, UAB, Tortosa, Spain.
Cristina CallauMolecular Biology and Research Section, Hospital de Tortosa Verge de la Cinta, IISPV, URV, Tortosa, Spain.
Ramon BoschDepartment of Pathology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Anna KorzynskaLaboratory of Processing Systems of Microscopic Image Information, Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
Joaquín JaénDepartment of Pathology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Marcial García-RojoDepartment of Pathology, Hospital de Jerez, Jerez de la Frontera, Cadiz, Spain.
Gloria BuenoVISILAB, Engineering School, Universidad de Castilla-La Mancha, Ciudad Real, Spain.
Ma Teresa SalvadóDepartment of Pathology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Tomás ÁlvaroDepartment of Pathology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Montse OñosDepartment of Gynaecology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
María del Milagro Fernández-CarroblesVISILAB, Engineering School, Universidad de Castilla-La Mancha, Ciudad Real, Spain.
Montserrat LloberaDepartment of Oncology, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Jordi BaucellsDepartment of Informatics, Hospital de Tortosa Verge de la Cinta, IISPV, Tortosa, Spain.
Guifré OreroMolecular Biology and Research Section, Hospital de Tortosa Verge de la Cinta, IISPV, URV, Tortosa, Spain.
Marylène LejeuneMolecular Biology and Research Section, Hospital de Tortosa Verge de la Cinta, IISPV, URV, Tortosa, Spain.
Hospital de Tortosa Virgen de la Cinta · ESUniversity of Castilla-La Mancha · ESHospital Jerez Puerta del Sur · ESInstitut d'Investigació Sanitària Pere Virgili · ESInstitute of Biocybernetics and Biomedical Engineering · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLymph nodes are one of the main sites where an effective immune response develops. Normally, axillary nodes are the first place where breast cancer produces metastases. Several studies have demonstrated the importance of immune cells, especially dendritic cells, in the evolution of breast cancer. The goal of the project is to identify differences in the patterns of immune infiltrates, with particular emphasis on dendritic cells, in tumour and axillary node biopsies between patients with and without metastases in the axillary nodes at the time of diagnosis. It is expected that these differences will be able to explain differences in survival, relapse and clinicopathological variables between the two groups. METHODS AND ANALYSIS: The study will involve 100 patients diagnosed with invasive breast cancer between 2000 and 2007, 50% of whom have metastases in the axillary lymph node at diagnosis. In selected patients, two cylinders from biopsies of representative areas of tumour and axillary nodes (with and without metastasis) will be selected and organised in tissue microarrays. Samples will be stained using immunohistochemical techniques for different markers of immune response and dendritic cells. Two images of each cylinder will be captured under standardised conditions for each marker. Each marker will be quantified automatically by digital image procedures using Image-Pro Plus and Image-J software. Associations of survival, relapse and other clinicopathological variables with the automatically quantified levels of immune infiltrates in patients with and without axillary node metastasis will be sought. ETHICS AND DISSEMINATION: The present project has been approved by the Clinical Research Ethics Committee of the Hospital Universitari Joan XXIII (Ref: 22p/2011). Those patients whose biopsies and clinical data are to be used will give their signed informed consent. Results will be published in peer-reviewed journals.

Indexed as

AxillaBiomarkersBreast NeoplasmsCarcinomaCohort StudiesDendritic CellsFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryLymphatic MetastasisLymph NodesRetrospective StudiesBiomarkers

Identifiers

PMID25091015
PMCPMC4127922
OpenAlexW2133675839

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.