Marina Pajic

Marina Pajic

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2013 in Nature
Verified
Journal Article
Open access
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AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
LALudmil B. Alexandrov
Ludmil B. Alexandrov
ICICGC Breast Cancer Consortium
ICGC Breast Cancer Consortium
ICICGC MMML-Seq Consortium
ICGC MMML-Seq Consortium
IPICGC PedBrain
ICGC PedBrain
MSMichael R. Stratton
Michael R. Stratton
All cancers are caused by somatic mutations; however, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single cancer class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer, with potential implications for understanding of cancer aetiology, prevention and therapy.

24 February 2016 in Nature
Verified
Journal Article
Closed access
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PBPeter Bailey
Peter Bailey
DCDavid K. Chang
David K. Chang
Katia NonesKatia Nones
Katia Nones
AJAmber L. Johns
Amber L. Johns
APAnn-Marie Patch
Ann-Marie Patch
SGSean M. Grimmond
Sean M. Grimmond

25 February 2015 in Nature
Verified
Journal Article
Closed access
PDF file
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
Nic WaddellNic Waddell
Nic Waddell
MPMarina Pajic
Marina Pajic
APAnn-Marie Patch
Ann-Marie Patch
DCDavid K Chang
David K Chang
SGSean M. Grimmond
Sean M. Grimmond

24 October 2012 in Nature
Verified
Journal Article
Closed access
PDF file
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
ABAndrew V. Biankin
Andrew V. Biankin
Nic WaddellNic Waddell
Nic Waddell
KKKarin Kassahn
Karin Kassahn
MGMarie-Claude Gingras
Marie-Claude Gingras
SGSean M. Grimmond
Sean M. Grimmond

15 February 2017 in Nature
Verified
Journal Article
Closed access
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
ASAldo Scarpa
Aldo Scarpa
DCDavid K. Chang
David K. Chang
Katia NonesKatia Nones
Katia Nones
VCVincenzo Corbo
Vincenzo Corbo
SGSean M. Grimmond
Sean M. Grimmond

11 January 2012 in Annals of Oncology
Verified
Journal Article
Open access
PDF file
JHJ. L. Humphris
J. L. Humphris
DCDavid K Chang
David K Chang
AJA. L. Johns
A. L. Johns
CSC. J. Scarlett
C. J. Scarlett
MPMarina Pajic
Marina Pajic
ABA. V. Biankin
A. V. Biankin
Current staging methods for pancreatic cancer (PC) are inadequate, and biomarkers to aid clinical decision making are lacking. Despite the availability of the serum marker carbohydrate antigen 19.9 (CA19.9) for over two decades, its precise role in the management of PC is yet to be defined, and as a consequence, it is not widely used. We assessed the relationship between perioperative serum CA19.9 levels, survival and adjuvant chemotherapeutic responsiveness in a cohort of 260 patients who underwent operative resection for PC. By specifically assessing the subgroup of patients with detectable CA19.9, we identified potential utility at key clinical decision points. Low postoperative CA19.9 at 3 months (median survival 25.6 vs 14.8 months, P = 0.0052) and before adjuvant chemotherapy were independent prognostic factors. Patients with postoperative CA 19.9 levels >90 U/ml did not benefit from adjuvant chemotherapy (P = 0.7194) compared with those with a CA19.9 of ≤90 U/ml (median 26.0 vs 16.7 months, P = 0.0108). Normalization of CA19.9 within 6 months of resection was also an independent favorable prognostic factor (median 29.9 vs 14.8 months, P = 0.0004) and normal perioperative CA19.9 levels identified a good prognostic group, which was associated with a 5-year survival of 42%. Perioperative serum CA19.9 measurements are informative in patients with detectable CA19.9 (defined by serum levels of >5 U/ml) and have potential clinical utility in predicting outcome and response to adjuvant chemotherapy. Future clinical trials should prioritize incorporation of CA19.9 measurement at key decision points to prospectively validate these findings and facilitate implementation.