A Bioinformatics research group is created within SANBI

Overview

The Bioinformatics Oncology research group within SANBI was created in October 2019 with the mission of providing information and knowledge on tumor heterogeneity. Cancer heterogeneity has a direct impact on therapy failure and relapses, as well as patient outcomes. The discovery of multi-omic markers behind it paves the way for the application of artificial intelligence methods capable of classifying tumors according to prognosis. This will help clinicians practice precision medicine and accurately predict which therapies and prevention strategies will benefit a particular group of patients, thereby increasing low cancer survival rates.

The Research team of the new group is comprised as follows:`

Nomlindelo Mfuphi MSc – Reconstruction of the gene regulatory networks of HIV-associated-diffuse large B-cell lymphoma for different clinical stages.

Wardah Jassiem MSc – Developing reproducible bioinformatics workflow using Nextflow forenhancer-associated insertion variants detection.

Cleo-Rose Barendse MSc – Application of machine learning techniques for detection of synthetic lethal interactions in cancer.

Abdulazeez Giwa PhD – Computational analysis of multi-omic data for the elucidation of molecularmechanisms of neuroblastoma.

Nasr Eshibona PhD – Novel genomic biomarkers for Pediatric and Adult Acute Myeloid Leukemia.

Michelle Livesey PhD – The relationship between genetic aberrations and transcriptomic profiles of
Diffuse Large B-cell lymphoma (DLBCL) in South African HIV patients.
Victoria Patten PhD (UCT) – Elucidate the implications of somatic mutations identified in oesophageal cancer patients.

Catherine Rossouw Post-doc – Cancer clustering using gene expression data and unsupervised machine learning.

Hocine Bendou Researcher – Explore machine learning application in oncology and precision medicine
Publications

  1. Giwa A, Fatai A, Gamieldien J, Christoffels A, Bendou H. Identification of novel prognostic
    markers of survival time in high-risk neuroblastoma using gene expression profiles.
    Oncotarget. 2020;11(46):4293-4305. Published 2020 Nov 17.
    doi:10.18632/oncotarget.27808
  2. Rossouw Sophia, Bendou Hocine, Blignaut Renette, Bell Liam, Rigby Jonathan, Christoffels
    Alan. Evaluation of Protein Purification Techniques and Effects of Storage Duration on LC-
    MS/MS Analysis of Archived FFPE Human CRC Tissues. Pathology and Oncology Research.
    2021(27). doi:10.3389/pore.2021.622855