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11 metropolitan and rural sites across Australia 11 metropolitan and rural sites across Australia

11 metropolitan and rural sites across Australia - PowerPoint Presentation

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11 metropolitan and rural sites across Australia - PPT Presentation

S olving U nknown P rimary canc ER SUPER National prospective cohort study Established in 2014 Overall Project Aims To establish a cohort of CUP patients with associated biospecimens clinical quality of life and psychosocial data ID: 921061

patients cup patient cancer cup patients cancer patient clinical depression treatment primary communication life quality anxiety results understanding management

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Slide1

11 metropolitan and rural sites across Australia

S

olving

Unknown Primary cancER (SUPER)

National prospective cohort study

Established in 2014

Slide2

Overall Project Aims

To establish a cohort of CUP patients with associated biospecimens, clinical, quality of life and psychosocial data

To determine the clinical management patterns when genomics test results provided to treating clinician

To establish the experiences, quality of life, psychosocial needs of patients with CUP compared to a matched sample of patients with metastatic cancer of a known primary and investigate differences between rural vs urban CUP patients

Slide3

1

st patient recruited November 2013Site

TotalPeter Mac

131Westmead 26Nepean15Blacktown15Flinders

14Geelong

29

Warrnambool

11

Cabrini

6Bendigo22Darwin6Healthscope5Border MO14TOTAL RECRUITMENT294

SUPER – 31

st March 2019

Recruiting ~6 per month294 participants in totalStudy target – 350

Total Recruitment

Slide4

AIM 1SUPER – Establishing a CUP cohort (1st

April) 2019)

Item

NumberTarget = 350

294 (84%)56 remaining

Recruitment rate

6

per

month on average

Projection: 30th Nov 2019TestItem

NumberPhase 2 data128 samples CCPComplete81 (63%) Incomplete

41 (32%)

 Pending 6 (5%)

SUPERDx

Complete

77 (60%)

 

Incomplete

44 (34%) Pending7 (6%)CombinedComplete both72 (56%) Incomplete both 36 (28%) Complete either86 (67%)

ItemNumberFemale (%)Age (SD)Rural (%)Deceased < 3 M (%)< 6 M< 9 M< 12 MPhase 1 [2013-15]16892 (55)63 (13)28 (17)30 (18)50 (30)67 (40)81 (48)Phase 2 [2017 – ] 12868 (53)65 (13)51 (40)11* (10)18* (23)20* (32)23* (46)Combined294159 (54)63 (13)79 (27)44* (15)68* (28)87* (38)104* (48)

* Number of included participants vary in P2 data as their duration on study will vary according to when they where recruited

Slide5

AIM 2SUPER – Impacting clinical decisions

Specific Aims:Describe the molecular landscape of CUP patients and correlate molecular test results with demographic and clinical characteristics

Determine the impact site-of-origin and mutation profiling has had on treatment decisions taken by the treating clinician

13

Slide6

Clinical impact of molecular testingDr Tharani Sivakumaran

Design: Pre/post survey of clinical management prior to and post receiving genomic resultsAnalysis ongoing

Slide7

Early Results: Phase ILikely site of origin: CUPguide

CUPGuide was completed for ~78% (97 of 124) of samples

Primary site prediction was made in ~87% (84 of 97)Predictions resulted in:

a change in management in ~12% (10 of 84)confirmed current management in ~63% (53 of 84)Mutation profiling: CCP version 1Comprehensive Cancer Panel (CCP) was completed in ~83% (103 of 124) Actionable gene mutations where identified in ~10% (10 of 103) Germline gene mutations were identified in 6% (6 of 103)Predictions resulted in:a change in treatment for 30% (3 of 10) of patients because the targeted therapy was available.

Slide8

AIM 3SUPER – Quality of life and psychosocial needs

Specifically, we seek:

To establish reliable estimates for quality of life and psychosocial needs across the CUP illness trajectory

To identify similarities and differences between CUP and non-CUP patients from baseline to 12-month follow-upTo identify similarities and differences between urban and rural/regional CUP patients from baseline to 12-month follow-up

Slide9

What do we know about the experience of CUP?Compared to known primaries, CUP patients were:

less likely to receive written information about their type of cancer, diagnostic tests and any operations they hadLess likely to understand the results of their testsLess likely to completely understand the explanation of their illness

Less likely to feel their views were taken into account in treatment discussions

Slide10

Communicating with CUP patients

86 oncologist responded.99% prepared to make a diagnosis of CUP if no primary located BUT 27% prefer to provide a ‘best guess’ rather than CUP as an diagnostic entity

83% would assign a primary site to obtain PBS drug funding

62% did not have a specific treatment protocol for CUPDifferent ways of describing Dx: “No I don’t use CUP, I usually talk about my best guess primary” vs “The primary (parent) appears of have regressed but metastases(children) have grown”

Slide11

METHODSDesign

A prospective, longitudinal study with matched control group at baselineCUP patients recruited from both urban and rural/regional Patient reported outcome data will be collected at baseline and at 3, 6, 9 and 12 months post-baseline (or to death).

Slide12

MeasuresPhysical, social and mental health Patient Reported Outcomes Measurement Interactive System (PROMIS

®) : Anxiety; Depression; Fatigue; Pain Interference; Pain Intensity; Sleep Disturbance; Physical Function; Satisfaction with Social Roles and ActivitiesCancer-specific health-related quality of life

EORTC Quality of Life Questionnaire – C30 (EORTC QLQ-C30)

Medical communication/information and psychological needs: Needs Assessment for Advanced Lung Cancer Patients (NA-ALCP)Hopelessness : Hopelessness Assessment in Illness (HAI)Communication about and understanding of illness and treatment: a purpose-built questionnaire drawn from UK National Cancer Patient Experience Survey

Slide13

Psychological distress in CUP patients: the role of communication

AimTo investigate the impact of patient-oncologist communication practices and socio-demographic factors on the anxiety and depression of CUP patients

Design

Cross-sectional survey: data drawn from baseline data from SUPER study.

Dr

Kamil

Wolyniec

Slide14

Patients’ communication experiences

Item

Response scale Percentage

How well do you feel you understand your cancer?Very wellWellNot so wellNot well at all20%43%25%12%Were you given written information about the type of cancer you had?Yes, and it was easy to understandYes, but it was difficult to understandNo, I was not given written informationI did not need written informationDon’t know/can’t remember26%9%57%7%0%

How do you feel about the way you were told you had advanced cancer?It was done sensitivelyIt should have been done a bit more sensitivelyIt should have been done

a lot

more sensitively

78%

16%

7%

Slide15

Results

CUP patients who felt they understood their cancer very well reported lower levels of anxiety and depression than those who did not.

p

=.004p=.040p=.006Very well well

Not so well Not well at all

Patient’s understanding of cancer

Mean Depression scores

Patient’s understanding of cancer

p

=.029p=.006Mean Anxiety scoresVery well well Not so well

Not well at all

Slide16

Key findings

Only 20% felt they understood their cancer very well and this was linked to lower levels of anxiety and depression

Less than half received written information about cancer or information about support but not linked to psychological distress.

Younger CUP patients reported higher anxiety and depression

28

Slide17

Conclusions

Locating and retaining CUP patients in a cohort study remains challenging;

as is successful

genomic testing

Rapid advances in genomic testing to assist in the diagnosis and treatment but at present these advances don’t appear to be translating into clinical management change

Genomic testing advances represent a challenge for both clinician communication and patient understanding

Good patient understanding may alleviate psychological distress

Younger patients may require additional support and referral to psychological services