Articles producció científicaInfermeria

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

  • Datos identificativos

    Identificador:  imarina:6387897
    Autores:  Lopez, Carlos; Callau, Cristina; Bosch, Ramon; Korzynska, Anna; Jaen, Joaquin; Garcia-Rojo, Marcial; Bueno, Gloria; Teresa Salvado, Ma; Alvaro, Tomas; Onos, Montse; del Milagro Fernandez-Carrobles, Maria; Llobera, Montserrat; Baucells, Jordi; Orero, Guifre; Lejeune, Marylene
    Resumen:
    Introduction: Lymph 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.
  • Otros:

    Enlace a la fuente original: https://bmjopen.bmj.com/content/4/8/e005643
    Referencia de l'ítem segons les normes APA: Lopez, Carlos; Callau, Cristina; Bosch, Ramon; Korzynska, Anna; Jaen, Joaquin; Garcia-Rojo, Marcial; Bueno, Gloria; Teresa Salvado, Ma; Alvaro, Tomas; (2014). Development of automated quantification methodologies of immunohistochemical markers to determine patterns of immune response in breast cancer: A retrospective cohort study. Bmj Open, 4(8), e005643-e005643. DOI: 10.1136/bmjopen-2014-005643
    Referencia al articulo segun fuente origial: Bmj Open. 4 (8): e005643-e005643
    DOI del artículo: 10.1136/bmjopen-2014-005643
    Año de publicación de la revista: 2014
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2024-11-16
    Autor/es de la URV: BAUCELLS LLADÓS, JOAN / Bosch Príncep, Ramon / Lejeune, Marylène Marie / López Navarro, Carolina / Lopez Pablo, Carlos
    Departamento: Infermeria
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    ISSN: 20446055
    Autor según el artículo: Lopez, Carlos; Callau, Cristina; Bosch, Ramon; Korzynska, Anna; Jaen, Joaquin; Garcia-Rojo, Marcial; Bueno, Gloria; Teresa Salvado, Ma; Alvaro, Tomas; Onos, Montse; del Milagro Fernandez-Carrobles, Maria; Llobera, Montserrat; Baucells, Jordi; Orero, Guifre; Lejeune, Marylene
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Saúde coletiva, Psicología, Odontología, Nutrição, Medicine, general & internal, Medicine (miscellaneous), Medicine (all), Medicina veterinaria, Medicina iii, Medicina ii, Medicina i, Interdisciplinar, General medicine, Farmacia, Ensino, Enfermagem, Educação física, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências ambientais, Ciência da computação, Biotecnología
    Direcció de correo del autor: ramon.bosch@urv.cat, carlos.lopez@urv.cat, carolina.lopez@urv.cat, marylenemarie.lejeune@urv.cat, ramon.bosch@urv.cat
  • Palabras clave:

    Good health and well-being
    Medicine (Miscellaneous)
    Medicine
    General & Internal
    Saúde coletiva
    Psicología
    Odontología
    Nutrição
    Medicine (all)
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    General medicine
    Farmacia
    Ensino
    Enfermagem
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciência da computação
    Biotecnología
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