PXD027572 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | A novel approach for the discovery of biomarkers of radiotherapy response in breast cancer |
Description | Radiotherapy is a commonly used treatment modality for the local control of breast cancer. However, the clinical signs of radiotherapy response are often not apparent for several weeks post-treatment. We currently lack tools to predict and/or monitor tumor responses during treatment. The aim of this study was to identify tumor secreted biomarkers of radiotherapy response. Estrogen receptor positive (ER+) MCF-7 cells were serum-starved for 2 h, and were then exposed to various doses of radiation (0, 2, 4, 6, 8 or 10 Gy). Conditioned media (CM) was harvested at 1, 2, 4, 8 and 24 h post-radiation for each radiation dose. Samples underwent processing for liquid chromatography-mass spectrometry (LC-MS) following collection. 33 proteins at the 24 h time point were found to have significantly increased secretion levels (up to 12-fold) at all radiation doses compared to untreated cells. To validate the secretomic results and to further investigate the potential use of these proteins as biomarkers of radiosensitivity, the secreted protein levels of candidate biomarkers were assessed through western blot (WB). WB analysis was performed using CM samples to assess the secretion levels from parental and radioresistant (RR) cell lines (developed within our lab) 24 h after the cells had received a single radiation dose of 2 Gy. Secretion levels of our candidate biomarkers were found to be significantly increased from the radiosensitive MCF-7 cells treated with 2 Gy of radiation at 24 h compared to 24 h untreated controls. In comparison, candidate biomarker levels in the CM samples from untreated and radiation-treated MCF-7 RR cells remained low. Currently there are no validated predictive biomarkers to monitor radiotherapy responses during treatment. These biomarkers could have a clinical role in personalising radiotherapy dosing schedules and durations for solid tumours in the neoadjuvant and palliative setting. |
HostingRepository | PRIDE |
AnnounceDate | 2021-08-13 |
AnnouncementXML | Submission_2021-08-13_01:31:12.583.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Jimi Wills |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive Plus |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-07-26 06:24:40 | ID requested | |
⏵ 1 | 2021-08-13 01:31:13 | announced | |
Publication List
Meehan J, Gray M, Mart, í, nez-P, é, rez C, Kay C, McLaren D, Turnbull AK, Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine. J Pers Med, 11(7):(2021) [pubmed] |
Keyword List
submitter keyword: Human breast cancer, Radiotherapy, Radiosensitivity biomarkers, Secretome, Radioresistance |
Contact List
Arran Turnbull |
contact affiliation | Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Scotland, United Kingdom |
contact email | a.turnbull@ed.ac.uk |
lab head | |
Jimi Wills |
contact affiliation | University of Edinburgh |
contact email | jimi.wills@ed.ac.uk |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD027572
- Label: PRIDE project
- Name: A novel approach for the discovery of biomarkers of radiotherapy response in breast cancer