Cancer Theme

Professor Paul Timpson; Professor David Thomas; Associate Professor Phoebe Phillips and Professor David Goldstein; and Associate Professor Marina Pajic.

UNSW Sydney and the Garvan Institute of Medical Research researchers will lead the program, thanks to a $3.75 million grant from the Cancer Institute NSW.

Robot in classroom

Most school students are back in school after a tumultuous school year, but remote learning – and social isolation – is an ongoing reality for thousands of sick children around the country.

Dr Orazio Vittorio

Researchers from Children’s Cancer Institute and UNSW Sydney have published a paper describing how copper in tumours modulates tumour immune evasion.

Low ROR1 staining in endometrial cancer

A new study has identified a key gene in aggressive endometrial cancer, which could lead to a targeted therapeutic strategy to improve survival rates. 

Formalin-Fixed Paraffin-Embedded (FFPE) tumour blocks in Professor Ramus’ lab

A global team of medical researchers led by UNSW have developed a test that could help to predict survival for women diagnosed with ovarian cancer, and pave the way towards personalised treatment.

Child holding parent's hand

UNSW Sydney researchers are leading a program to help childhood brain cancer survivors improve the quality of their life.

Testing blood pressure

Hydrochlorothiazide use increases older people’s risk of developing skin cancer, a study by UNSW Sydney scientists has shown – but the researchers warn against suddenly stopping the medicine.

Young boy eating an apple

Fussy eating and taste changes are common side effects of cancer treatment – now, a healthy eating program designed by UNSW medical researchers is helping parents get their child’s diet back on track.

John Pimanda

UNSW Sydney researchers will conduct a clinical trial to establish the safety and efficacy of a new drug combination in the rare cancer, high-risk myelodysplastic syndromes (MDS).

Micrograph of a serous papillary carcinoma (adenocarcinoma) of ovary

A new tool will help researchers and clinicians to classify ovarian cancer patients’ tumours into subtypes.

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