/
Blood  B iomarkers for Diagnosis, Prognosis and Monitoring of Melanoma Patients Blood  B iomarkers for Diagnosis, Prognosis and Monitoring of Melanoma Patients

Blood B iomarkers for Diagnosis, Prognosis and Monitoring of Melanoma Patients - PowerPoint Presentation

cappi
cappi . @cappi
Follow
344 views
Uploaded On 2022-06-01

Blood B iomarkers for Diagnosis, Prognosis and Monitoring of Melanoma Patients - PPT Presentation

Associate Professor Elin Gray Melanoma Research Group School of Medical and Health Sciences Edith Cowan University Perth Western Australia Blood Biomarkers of Cancer AutoAbs Wan et al Nature Reviews Cancer 2017 ID: 913405

blood melanoma tumour biopsy melanoma blood biopsy tumour liquid cancer test meldx slnd metabolic sample skin university oncotarget study

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "Blood B iomarkers for Diagnosis, Progno..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Blood

Biomarkers for Diagnosis, Prognosis and Monitoring of Melanoma Patients

Associate Professor Elin GrayMelanoma Research GroupSchool of Medical and Health SciencesEdith Cowan University, Perth, Western Australia

Slide2

Blood Biomarkers of Cancer

AutoAbs

Wan et al., Nature Reviews Cancer 2017Alix-Panabieres & Pantel, Nature Biomedical Engineering 2017AuAbsEasily accessibleCan be regularly testedReal-time monitoring

Slide3

Cancer Liquid Biopsy – Just from a blood

sampleCancer Liquid Biopsy – Just from a blood sample

MelDxPauline Zaenker

Slide4

Autoantibodies as Diagnostic Melanoma Biomarkers

Discovery phase

MelDx trialroutine skin checkZaenker et al., Oncotarget 201884% Specificity79% Sensitivity

Slide5

MelDx Study DesignHypothesisAutoantibody positivity in sera using the MelDx test will correspond with histological diagnosis of melanoma via biopsy.Primary Aim

To validate a combination of autoantibodies that provide diagnostic accuracy of 80% or greater in early stage melanoma.Secondary AimTo evaluate whether a history of skin cancers affects the test results.To evaluate the specificity of MelDx for melanoma relative to other skin cancers, other cancers and autoimmune diseases.

Slide6

MelDx Study – your input1. In what situation would an additional test (ie

.: a blood test) be useful?How accurate would a test have to be for you to consider using it (what %)?When you are looking for additional diagnostic tools/tests, what is the main factor that influences your decision to implement these?

Slide7

Overall requirementsIf you want to get involvedWritten consentOnce-off 2xSST tubes (6ml)Access to biopsy pathology report

collaboration on papers, grants, etc.Contact: Dr. Pauline Zaenker

p.zaenker@ecu.edu.au(08) 6304 2783

Slide8

Cancer Liquid Biopsy – Just from a blood

sampleCancer Liquid Biopsy – Just from a blood sample

MelDxPauline ZaenkerZaenker et al., Oncotarget 2018CNV on CTCsAaron Beasley

Beasley et al., JCO Precision Oncology 2018

Non-invasive prognostication of uveal melanoma

Blood test for early detection of melanoma

Khattak et al., The Oncologist 2019

All CD45/CD16

PD-L1

MEL Nucleus

PD-L1 expression on CTCs predicts

pembrolizumab

outcomes

Adnan Khattak

Slide9

Circulating Tumour DNA

Cancer Liquid Biopsy – Just from a blood sample

Gray et al., Oncotarget 2015

Slide10

Tumour size and metabolic activity correlates with ctDNA shedding

McEvoy et al., BMC cancer 2018MTB: Metabolic Tumour BurdenMTV: Metabolic Tumour Volume

Ashleigh McEvoyZeyad Al-Ogaili

Slide11

ctDNA allows non-invasive assessment of genomic alterations of the tumour

Tumour and plasma pairs N=7

2536Tumour PlasmaTruSeq Illumina Custom Melanoma Panel950 amplicons over 30 genes QiaSeq Custom Melanoma Panel950 amplicons over 30 genesUnique Molecular IdentifiersLeslie Calapre

Benhur Amanuel

PathWest

Detection of BRAF mutant melanoma in tissue vs liquid biopsies

Negative

Agreement 66/66 (100%)

Overall Agreement 135/153 (88%)

False Positive 0%

False Negative 12%

Sensitivity 78%

Specificity

100

%

Slide12

ctDNA positivity predicts survival of Stage III melanoma patients

Lee et al., Annals of Oncol

2019 (MIA)Tan et al., Annals of Oncol 2019 (PeterMac/Christie)Before SLND After SLND Before SLND Before SLND (Validation cohort)

Slide13

Acknowledgements

Study Participants and Healthy Volunteers

Edith Cowan UniversityMelanoma Research Group SCGH and FSH

Michael Millward

Adnan Khattak

Tarek Meniawy

Lydia Warburton

Zeyad

Al-Ogaili

Tim Isaacs

Fred Chen

PathWest

Ben Wood

Nima

Meshba

Tindaro

Giardina

Cleo Robinson

Benhur Amanuel

Peter Johansson

Nicholas Hayward

QIMR

Helen Rizos

Jenny Lee

Macquarie University

Melanoma Institute Australia

Georgina V. Long

Richard A. Scolyer

Matteo S. Carlino

Harvard University

Markus Frank

Ryan Sullivan

Xin Hong

MelDx

Lester Cowell

Christopher Quirk

Tony Caccetta

Stephanie Weston

Prasad Kumarasinghe

Geoffrey Shulman

Daniel Hewitt

Gordon Harloe

Johnny Lo