Cargando…

Analysis of and prognostic information from disseminated tumour cells in bone marrow in primary breast cancer: a prospective observational study

BACKGROUND: Disseminated tumour cells (DTCs) in the bone marrow of patients with breast cancer have been identified as an independent predictor of poor prognosis in patients with non-metastatic disease. This prospective study aimed to evaluate the presence and prognostic value of DTCs in the bone ma...

Descripción completa

Detalles Bibliográficos
Autores principales:	Falck, Anna-Karin, Bendahl, Pär-Ola, Ingvar, Christian, Isola, Jorma, Jönsson, Per-Ebbe, Lindblom, Pia, Lövgren, Kristina, Rennstam, Karin, Fernö, Mårten, Rydén, Lisa
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488538/ https://www.ncbi.nlm.nih.gov/pubmed/22963449 http://dx.doi.org/10.1186/1471-2407-12-403

Ejemplares similares

St Gallen molecular subtypes in primary breast cancer and matched lymph node metastases - aspects on distribution and prognosis for patients with luminal A tumours: results from a prospective randomised trial
por: Falck, Anna-Karin, et al.
Publicado: (2013)

Expression of epithelial-mesenchymal transition-related markers and phenotypes during breast cancer progression
por: Jørgensen, Charlotte Levin Tykjær, et al.
Publicado: (2020)

Prior Adjuvant Tamoxifen Treatment in Breast Cancer Is Linked to Increased AIB1 and HER2 Expression in Metachronous Contralateral Breast Cancer
por: Alkner, Sara, et al.
Publicado: (2016)

The Three Receptor Tyrosine Kinases c-KIT, VEGFR2 and PDGFRα, Closely Spaced at 4q12, Show Increased Protein Expression in Triple-Negative Breast Cancer
por: Jansson, Sara, et al.
Publicado: (2014)

Invasive lobular carcinoma of the breast: long-term prognostic value of Ki67 and histological grade, alone and in combination with estrogen receptor
por: Narbe, Ulrik, et al.
Publicado: (2014)

The estrogen receptor coactivator AIB1 is a new putative prognostic biomarker in ER-positive/HER2-negative invasive lobular carcinoma of the breast
por: Narbe, Ulrik, et al.
Publicado: (2019)

The PDGF pathway in breast cancer is linked to tumour aggressiveness, triple-negative subtype and early recurrence
por: Jansson, Sara, et al.
Publicado: (2018)

Co-localization of CD169(+) macrophages and cancer cells in lymph node metastases of breast cancer patients is linked to improved prognosis and PDL1 expression
por: Björk Gunnarsdottir, Frida, et al.
Publicado: (2020)

Non-linear transformations of age at diagnosis, tumor size, and number of positive lymph nodes in prediction of clinical outcome in breast cancer
por: Forsare, Carina, et al.
Publicado: (2018)

Prediction of outcome after diagnosis of metachronous contralateral breast cancer
por: Alkner, Sara, et al.
Publicado: (2011)

Tumour-infiltrating lymphocytes as a prognostic and tamoxifen predictive marker in premenopausal breast cancer: data from a randomised trial with long-term follow-up
por: Lundgren, Christine, et al.
Publicado: (2020)

The combination of Ki67, histological grade and estrogen receptor status identifies a low-risk group among 1,854 chemo-naïve women with N0/N1 primary breast cancer
por: Strand, Carina, et al.
Publicado: (2013)

The Distribution of Circulating Tumor Cells Is Different in Metastatic Lobular Compared to Ductal Carcinoma of the Breast—Long-Term Prognostic Significance
por: Narbe, Ulrik, et al.
Publicado: (2020)

Protease Activated Receptors 1 and 2 Correlate Differently with Breast Cancer Aggressiveness Depending on Tumor ER Status
por: Lidfeldt, Jon, et al.
Publicado: (2015)

High CYP27A1 expression is a biomarker of favorable prognosis in premenopausal patients with estrogen receptor positive primary breast cancer
por: Inasu, Maria, et al.
Publicado: (2021)

Plasma membrane expression of G protein-coupled estrogen receptor (GPER)/G protein-coupled receptor 30 (GPR30) is associated with worse outcome in metachronous contralateral breast cancer
por: Tutzauer, Julia, et al.
Publicado: (2020)

A novel model for Ki67 assessment in breast cancer
por: Romero, Quinci, et al.
Publicado: (2014)

The CD44(+)/CD24(- )phenotype is enriched in basal-like breast tumors
por: Honeth, Gabriella, et al.
Publicado: (2008)

Basal-like phenotype is not associated with patient survival in estrogen-receptor-negative breast cancers
por: Jumppanen, Mervi, et al.
Publicado: (2007)

CD44 isoforms are heterogeneously expressed in breast cancer and correlate with tumor subtypes and cancer stem cell markers
por: Olsson, Eleonor, et al.
Publicado: (2011)

PAM50 subtyping and ROR score add long-term prognostic information in premenopausal breast cancer patients
por: Lundgren, Christine, et al.
Publicado: (2022)

Tamoxifen-predictive value of gene expression signatures in premenopausal breast cancer: data from the randomized SBII:2 trial
por: Lundgren, Christine, et al.
Publicado: (2023)

The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer
por: Forsare, Carina, et al.
Publicado: (2022)

St Gallen 2019 guidelines understage the axilla in lobular breast cancer: a population-based study
por: Narbe, U, et al.
Publicado: (2021)

Contrasting breast cancer molecular subtypes across serial tumor progression stages: biological and prognostic implications
por: Kimbung, Siker, et al.
Publicado: (2015)

The Prognostic Value of Mitotic Activity Index (MAI), Phosphohistone H3 (PPH3), Cyclin B1, Cyclin A, and Ki67, Alone and in Combinations, in Node-Negative Premenopausal Breast Cancer
por: Klintman, Marie, et al.
Publicado: (2013)

Comparison of cisplatin sensitivity and the 18F fluoro-2-deoxy 2 glucose uptake with proliferation parameters and gene expression in squamous cell carcinoma cell lines of the head and neck
por: Henriksson, Eva, et al.
Publicado: (2009)

St Gallen molecular subtypes in screening‐detected and symptomatic breast cancer in a prospective cohort with long‐term follow‐up
por: Falck, A. K., et al.
Publicado: (2016)

Prognostic impact of circulating tumor cell apoptosis and clusters in serial blood samples from patients with metastatic breast cancer in a prospective observational cohort
por: Jansson, Sara, et al.
Publicado: (2016)

Ki67 proliferation in core biopsies versus surgical samples - a model for neo-adjuvant breast cancer studies
por: Romero, Quinci, et al.
Publicado: (2011)

Focus on the Tumour Periphery in MRI Evaluation of Soft Tissue Sarcoma: Infiltrative Growth Signifies Poor Prognosis
por: Fernebro, Josefin, et al.
Publicado: (2006)

Molecular characterization of circulating tumor cells from patients with metastatic breast cancer reflects evolutionary changes in gene expression under the pressure of systemic therapy
por: Aaltonen, Kristina E., et al.
Publicado: (2017)

Androgen receptor expression and breast cancer mortality in a population-based prospective cohort
por: Elebro, Karin, et al.
Publicado: (2017)

Artificial neural network models to predict nodal status in clinically node-negative breast cancer
por: Dihge, Looket, et al.
Publicado: (2019)

The accuracy of preoperative axillary nodal staging in primary breast cancer by ultrasound is modified by nodal metastatic load and tumor biology
por: Dihge, Looket, et al.
Publicado: (2016)

The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
por: Dihge, Looket, et al.
Publicado: (2023)

Psychological Resilience and Health-Related Quality of Life in Swedish Women with Newly Diagnosed Breast Cancer
por: Mohlin, Åsa, et al.
Publicado: (2020)

Pre- and postoperative alcohol consumption in breast cancer patients: impact on early events
por: Simonsson, Maria, et al.
Publicado: (2014)

Serial monitoring of circulating tumor DNA in patients with primary breast cancer for detection of occult metastatic disease
por: Olsson, Eleonor, et al.
Publicado: (2015)

CA 19-9 and CA 125 as potential predictors of disease recurrence in resectable lung adenocarcinoma
por: Isaksson, Sofi, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_33k6kvd2g9s2c094847oa474l5