Tumour Banking & Biospecimens Research

The Children's Hospital at Westmead Tumour Bank is enabling translation of research findings into innovative treatments and intervention strategies for childhood cancer by providing the highest quality biobanking and bioinformatics services informed by ongoing research.

The biobanking field is rapidly expanding, and with this comes improvement in the way we run biobanks. As cancer therapies become more targeted to specific types and sub-classes of cancer, the demand for quality biobanked samples and annotated data increases. Continued investigations into the best way to collect and store biospecimens, as well as manage, manipulate and share data, is crucial to the advancement of translational research.

Our tumour banking and biospecimens research ensures delivery of the highest quality biospecimens to paediatric cancer researchers by the Tumour Bank team and other biobanks around the world. Our research is also finding better ways to integrate data analysis into the clinic, so that oncologists can better diagnose and treat children with cancer. Our research efforts enable the Tumour Bank to remain an important contributor to the global advancement of personalised medicine.

Tumour Bank Collaborations

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The research team

A/Prof Daniel Catchpoole
Research Group Leader
Dr Li Zhou
Research Officer
Oksana Markovych
Clinical Research Associate
Natalie Gabrael
Clinical Research Associate
Aysen Yuksel
Research Assistant

 

Associate Professor Daniel Catchpoole, Research Group Leader, email: daniel.catchpoole@health.nsw.gov.au

New technology and data mining strategies mean it is now possible to paint a clear picture of the genetic profiles of tumours. This means cancers can be more accurately classified and treatments tailored to patients’ unique needs.

Dan is head of the Tumour Bank and one of the founding members of the Australian Biospecimens Network. He established microarray technology within the Children's Cancer Research Unit and continues to advance e-medicine approaches in cancer research and treatment. His research focuses on improving data visualisation to advance cancer pers acute lymphoblastic leukaemia and neuroblastoma, as well as cancer prone syndromes in children, namely Beckwith Wiedemann syndrome. More information can be found on Dan's University of Sydney profile page

Key publications

Catchpoole D (2016) 'Biohoarding': treasures not seen, stories not told. J Health Services Res & Policy 21(2): 140-142

Anaissi A, Goyal M, Catchpoole D, Braytee A, Kennedy P (2015) Case-Based Retrieval Framework for Gene Expression Data. Cancer Informatics 14: 21-31

Chen L, Shern J, Wei J, Yohe M, Song Y, Hurd L, Hongling L, Catchpoole D, Skapek S, Barr F, et al (2015) Clonality and evolutionary history of rhabdomyosarcoma. PLoS Genetics 11(3): 1-25

Song R, Catchpoole D, Kennedy P, Li J (2015) Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach. Journal of Theoretical Biology 380: 271-279

Rush A, Battisti R, Barton B, Catchpoole D (2015) Opinions of Young Adults on Re-Consenting for Biobanking. The Journal of Pediatrics 167(4): 925-930

Zhou L, Catchpoole D (2015) Spanning the genomics era: the vital role of a single institution biorepository for childhood cancer research over a decade. Translational Pediatrics 4(2): 93-106

Zhou L, Nath N, Markovich O, Yuksel A, Roberts A, Catchpoole D (2015) The Tumour Bank of The Children's Hospital at Westmead. Biopreservation and Biobanking 13(2): 147-148

Brohl A, Solomon D, Chang W, Wang J, Song Y, Sindiri S, Patidar R, Hurd L,Chen L, Shern J, Gerard J, Kim JS, Lopez-Guerrero JA, Machado I, Wai D,  Picci P, Triche T, Horvai A, Miettinen M, Wei J, Catchpoole D, et al. (2014) The genomic landscape of the Ewing sarcoma family of tumors reveals recurrent STAG2 mutation. PLoS Genetics 10(7) e1004475: 1-13

Shern JF, Chen L, Chmielecki J, Wei JS, Patidar R, Rosenberg M, Ambrogio L, Auclair D, Wang J, Song YK, Tolman C, Hurd L, Liao H, Zhang S, Bogen D, Brohl A, Sindiri S, Catchpoole DRet al. (2014) Comprehensive genomic analysis of rhabdomyosarcoma reveals a landscape of alterations affecting a common genetic axis in fusion-positive and fusion-negative tumours. Cancer Discovery 4(2): 216231

Tafavogh S, Catchpoole DR, Kennedy PJ (2014) Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells. BMC Bioinformatics 15: 272