Journal article

An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures

Bence Paul, Kai Kysenius, James B Hilton, Michael WM Jones, Robert W Hutchinson, Daniel D Buchanan, Christophe Rosty, Fred Fryer, Ashley Bush, Janet M Hergt, Jon D Woodhead, David P Bishop, Philip A Doble, Michelle M Hill, Peter J Crouch, Dominic J Hare

CHEMICAL SCIENCE | ROYAL SOC CHEMISTRY | Published : 2021

Abstract

Tumours are abnormal growths of cells that reproduce by redirecting essential nutrients and resources from surrounding tissue. Changes to cell metabolism that trigger the growth of tumours are reflected in subtle differences between the chemical composition of healthy and malignant cells. We used LA-ICP-MS imaging to investigate whether these chemical differences can be used to spatially identify tumours and support detection of primary colorectal tumours in anatomical pathology. First, we generated quantitative LA-ICP-MS images of three colorectal surgical resections with case-matched normal intestinal wall tissue and used this data in a Monte Carlo optimisation experiment to develop an alg..

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Grants

Awarded by Australian Research Council (ARC)


Awarded by National Health and Medical Research Council (NHMRC)


Awarded by NHMRC


Awarded by National Cancer Institute


Awarded by Australasian CCFR


Funding Acknowledgements

We wish to thank Associate Professor Fred Hollande and Dr Corina Behrenbruch of the University of Melbourne, Dr Tristan Rawling of the University of Technology Sydney, and Dr Nerida Cole of Swinburne University for helpful advice in preparing this manuscript. This study utilised the Australian Phenomics Network Histopathology and Organ Pathology Service, University of Melbourne. Surgical sections used in this study were obtained from the Jeremy Jass Memorial Pathology Bank. The content of this manuscript does not necessarily re.ect the views or policies of the National Cancer Institute or any of the collaborating centres in the CCFR, nor does mention of trade names, commercial products, or organisations imply endorsement by the US Government or the CCFR. This work was funded in part by a Linkage Project grant from the Australian Research Council (ARC; LP120200081 to P. A. D. and D. J. H. in partnership with Agilent Technologies and ESI Ltd). K. K. held a Research Fellowship from the Sigrid Juselius Foundation. C. R. is a Jass Pathology Fellow. M. A. J. is a National Health and Medical Research Council (NHMRC) Senior Research Fellow (GNT1117611). D. D. B. is a University of Melbourne Research at Melbourne Accelerator Program (R@MAP) Senior Research Fellow and NHMRC R. D. Wright Career Development Fellow (GNT1125268). D. J. H. was a NHMRC Industry Career Development Fellow (GNT1122981; in partnership with Agilent Technologies) and was a UTS Chancellor's Postdoctoral Research Fellow. P. J. C. was a NHMRC R. D. Wright Career Development Fellow (GNT1084927). This work was supported by grant UM1 CA167551 from the National Cancer Institute to the Colon Cancer Family Registry (CCFR) and through cooperative agreement with the Australasian CCFR (U01/U24 CA097735).