Sentences with phrase «tumor heterogeneity»

His area of interest is exploring the effects of tumor heterogeneity on relapse and resistance to therapies in sarcomas.

In a study published in Nature, researchers lead by Cédric Blanpain, MD / PhD, WELBIO investigator and Professor at the Université libre de Bruxelles, Belgium, in collaboration with Pr Wayne Phillips, Australia and Pr Christos Sotiriou, Bordet Institute, Belgium, uncovered the cellular origin of PIK3CA - induced breast tumors and demonstrated that the cancer cell of origin controls tumor heterogeneity and is associated with different breast tumors types and clinical prognosis.

Carrie Bhang is a research investigator in In Vivo Pharmacology at Novartis Oncology and is particularly interested in applying what we have learned about tumor heterogeneity to drug discovery and the development of combination therapies.

The Ignatius laboratory is interested in understanding the effects of tumor heterogeneity on relapse and resistance to therapies in Rhabdomyosarcoma and other sarcomas.

Discover novel treatments in relapsed pediatric cancer by defining tumor heterogeneity and its effect on self - renewal and metastasis.

Decipher the molecular basis of cancer & better understand tumor heterogeneity by discovering more variants in a single assay.

«These new findings not only demonstrate the importance of the cancer cell of origin in controlling breast tumor heterogeneity, but also show that the gene expression signature found in the early steps of tumor initiation is predictive of the type of tumors that will eventually develop and the clinical prognosis of women with breast cancers» comments Cédric Blanpain, the senior author of the Nature paper.

The traditional model of tumor heterogeneity suggests that sequential mutations over time lead to the emergence of fitter cells that continue to grow and take over the tumor — called the clonal selection model.

The authors cite tumor heterogeneity as the most likely reason for the success of their variance - based approach.

My research interests include computational methods for analyzing tumor heterogeneity, driver gene identification in cancer, and detecting bias in biological network analyses.

Novel hybrid phenotype revealed in Small Cell Lung Cancer by a transcription factor network model that can explain tumor heterogeneity.

Tumor heterogeneity describes the... more

By means of a non-obese diabetic / severe combined immunodeficiency disease (NOD / SCID) xenotransplant assay in combination with specific cell surface markers (CD44 + CD24 - / low), CSCs were enriched from metastatic and primary breast tumors and were shown to have the ability to reestablish tumor heterogeneity after transplantation [1].

Tumor heterogeneity in solid tumor cancers impacts clonal evolution and patient outcomes.

He's studying how tumor heterogeneity affects treatment and the role of microRNAs in pediatric cancers and leukemia.

In vivo imaging of tumor - propagating cells, regional tumor heterogeneity, and dynamic cell movements in embryonal rhabdomyosarcoma.

This is particularly true for immunotherapy, in which characterization of tumor heterogeneity is essential for choosing the most effective therapy.

Early results indicate that it may reveal important information about tumor heterogeneity and the factors controlling whether tumors respond to different types of therapies.

We will use the power of modeling tumors in zebrafish in combination with patient derived cell lines and tumors and murine xenograft models to define tumor heterogeneity.

Interest in liquid biopsy has escalated in recent years due to the minimally invasive sampling method, potential to overcome the challenges of tumor heterogeneity, and the potential for longitudinal monitoring of tumor burden through serial sampling.

One of the key questions in cancer biology is to understand the mechanisms that control tumor heterogeneity and to determine to which extend tumor heterogeneity influences clinical outcome.

This same feature, tumor heterogeneity, may reduce the ability to identify critical gene expression changes when comparing mean gene expression in adjacent tumor and normal tissues, as tumors of the same type may have different sets of genes differentially expressed.

Presently, the development of more effective therapies is hampered by the large degree of tumor heterogeneity, both between different patients and in a single tumor.

More recently, he has focused on triple - negative breast cancer, the role of micro-RNAs in cancer growth and metastasis, tumor heterogeneity and novel approaches to targeting therapy - resistant breast cancers.

This can be in part addressed to the fact, that cancer is a complex disease which involves collaborating cell populations with various genetic alterations (tumor heterogeneity), which are further diversified by the nature of their micro environmental composition (tumor microenvironment).

[16] Second, we investigated the degree of tumor heterogeneity, which has been shown to be quite significant in primary kidney cancer [33].

These studies will lead to in - depth investigations of tumor heterogeneity and the dynamic regulation of genes that define subpopulations with specialized biologic functions.

This is to accommodate small variants that occur at sites of copy number variation as well as in samples that are not pure: for example, due to tumor heterogeneity or sample mosaicism.

Due to either or both tumor heterogeneity and / or normal contamination (presence of DNA from normal cells in the tumor sample), coverage levels may not correspond to integer - valued ploidy.

Tumor heterogeneity, i.e., the differences between cells within one tumor, among different tumor lesions of the same patient, or between patients even if the tumors are of similar genetic signatures, provides major challenges for future therapy.

Shmulevich and his colleagues also have developed statistical approaches to cancer classification, diagnosis and prognosis and have applied these approaches to the study of metastasis, cancer progression and tumor heterogeneity.

In tumor samples, where we frequently encounter variants with a very small allele frequency due to contamination with normal tissue, copy number variation, and tumor heterogeneity, high coverage is essential for accurate detection of these variants with high power.

He and his colleagues developed statistical approaches for cancer classification, diagnosis, and prognosis, and applied them to the study of of metastasis, cancer progression, and tumor heterogeneity.