Publications by authors named "Heena Sareen"

To better understand how tumours develop, identify prognostic biomarkers and find new treatments, researchers have generated vast catalogues of cancer genome data. However, these datasets are complex, so interpreting their important features requires specialized computational skills and analytical tools, which presents a significant technical challenge. To address this, we developed CRUX, a platform for exploring genomic data from cancer cohorts.

View Article and Find Full Text PDF

Genetic histone variants have been implicated in cancer development and progression. Mutations affecting the histone 3 (H3) family, H3.1 (encoded by and ) and H3.

View Article and Find Full Text PDF

Background: Glioblastoma (GBM) is a highly aggressive cancer with poor prognosis that needs better treatment modalities. Moreover, there is a lack of reliable biomarkers to predict the response and outcome of current or newly designed therapies. While several molecular markers have been proposed as potential biomarkers for GBM, their uptake into clinical settings is slow and impeded by marker heterogeneity.

View Article and Find Full Text PDF
Article Synopsis
  • Two important mutations called C228T and C250T in the TERT promoter help cancer cells grow and live longer.
  • These mutations are found in many cancers, especially in a serious brain cancer called glioblastoma, where they can appear in up to 80% of cases.
  • Scientists can find these mutations using a special blood test called a liquid biopsy, which helps monitor and manage cancer treatment tailored to individual patients.
View Article and Find Full Text PDF

Glioblastoma multiforme (GBM) is one of the most lethal primary central nervous system cancers with a median overall survival of only 12-15 months. The best documented treatment is surgical tumor debulking followed by chemoradiation and adjuvant chemotherapy with temozolomide, but treatment resistance and therefore tumor recurrence, is the usual outcome. Although advances in molecular subtyping suggests GBM can be classified into four subtypes, one concern about using the original histology for subsequent treatment decisions is that it only provides a static snapshot of heterogeneous tumors that may undergo longitudinal changes over time, especially under selective pressure of ongoing therapy.

View Article and Find Full Text PDF