- A/Professor Harsha Gowda, QIMR Berghofer
Immunotherapy has revolutionised cancer treatment in the recent years. It has been successfully used to treat several melanoma and lung cancer patients. However, not all patients respond to immunotherapy. There is a clinical need for biomarkers that can identify lung cancer patients that are most likely to benefit from immunotherapy.
In this project, we will employ mass spectrometry-based proteomics approaches to carry out proteomic profiling of mononuclear cells and plasma samples from lung cancer patients treated with immunotherapy. Proteome profiles of patients who respond to immunotherapy and those that do not respond to immunotherapy will be compared to identify biomarkers of response. These markers will be useful to stratify lung cancer patients that are most likely to benefit from immunotherapy from those that are unlikely to benefit.
This project aims to identify protein biomarkers to predict immunotherapy response in lung cancers.
The project hypothesis is that lung cancer patients who respond to immunotherapy have a distinct proteome profile compared to patients who do not respond.
This research is based at QIMR Berghofer (Herston).
Research activities include:
- laboratory experiments
- data collection
- data entry
- data analysis.
You'll be expected to work in the laboratory. You'll:
- acquire practical skills in sample preparation for proteomics
- learn about mass spectrometry
- acquire proteomics data analysis skills.
You'll have access to supervision and training, lab space, a desk, a computer.
You'll be expected to present your work in lab meetings.
Skills and experience
We're looking for students with prior experience working in a molecular biology laboratory.
Contact the supervisor for more information: email@example.com