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Your statistical health consultancy CHM staying healthy CRO getting healthy TEMP WORK team health The oncology specific domains TU, TR and RS: What to know as a statistical analyst Frieder Wolff & Vitali Gering PhUSE EU Connect 2018, Frankfurt, 5 th Oct 2018
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Page 1: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Your statistical health consultancy

CHMstaying healthy

CROgetting healthy

TEMP WORKteam health

The oncology specific domains TU, TR and RS: What to know as a statistical analystFrieder Wolff & Vitali Gering

PhUSE EU Connect 2018, Frankfurt, 5th Oct 2018

Page 2: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Agenda

1. Motivation

2. Exemplary study

§ Oncology specific domains

§ RECIST

3. Summary

1Frieder Wolff & Vitali Gering

Page 3: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Motivation§ Typical oncological endpoints hard to assess§ Standardized criteria essential: RECIST§ Standardized Data Structure (CDISC)§ Tumor package in SDTM: 3 domains§ Goal:

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Data Model Medical Background

ImprovedProgramming

Page 4: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Study setting

§ Accompany Steve on his way

§ 67 years old / diagnosed with lung cancer

§ Participation in phase I study

§ Baseline tumor assessment at screening visit

§ Additional assessments every 6 weeks

3Frieder Wolff & Vitali Gering

Page 5: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Screening visit§ CT scan of lung: 3 Lesions§ Categorization according to RECIST:

1. Measurable/non-measurable§ Longest diameter ≥ 10 mm à measurable

2. Target/non-target§ Max. of 5 target lesions in total

§ Max. of 2 per organ

4Frieder Wolff & Vitali Gering

Page 6: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

TULOCLUNGLUNGLUNG

TUMETHODCT SCANCT SCANCT SCAN

VISITScreeningScreeningScreening

TUTESTTumor IdentificationTumor IdentificationTumor Identification

TUORRESTARGETTARGETNON-TARGET

TULINKIDT01T02NT01

5

Screening visit

Page 7: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

A1 Sum of DiameterNT01 A1

35 mm ScreeningTumor State PRESENT Screening

TRTEST TRORRES TRORRESU VISITDiameter 20 mm ScreeningDiameter 15 mm Screening

TRLNKID TRLNKGRPT01 A1T02 A1

6

Screening visit

Page 8: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

TRLNKID TRLNKGRP TRTEST TRORRES TRORRESU VISITA1 Sum of Diameter 35 mm Screening

T01 A2 Diameter 13 mm Week 6

T02 A2 Diameter 17 mm Week 6

A2 Percent Change from Baseline in Sum of Diameter

A2 Percent Change from Nadir in Sum of Diameter

A2 Sum of Diameter 30 mm Week 6

NT01 A2 Tumor State PRESENT Week 6

-14 % Week 6

-14 % Week 6

7

TR Week 6

Page 9: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Response evaluation in target lesions§ CR: Disappearance of all target lesions§ PR: ≥ 30% decrease in sum of diameter§ SD: no PR, neither PD§ PD:

§ ≥ 20% increase in sum of diameter§ Absolute increase of 5 mm

8Frieder Wolff & Vitali Gering

Page 10: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Response evaluation in non-target lesions

§ CR: Disappearance of all non-target lesions

§ Non-CR/Non-PD: Persistence of non-target lesions

§ PD: Unequivocal progression

9Frieder Wolff & Vitali Gering

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§ Target Lesions: Change from BL / Nadir = -14% § Non Target Lesions: Present

RSLNKGRP RSTEST RSCAT RSORRES VISITTarget Response Recist 1.1 SD Week 6

A2 Overall ResponseNon-Target Response Recist 1.1 Non-CR/Non-PD Week 6

Recist 1.1 SD Week 6

10

RS Week 6

Page 12: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

TRLNKID TRLNKGRP TRTEST TRORRES TRORRESU VISITA1 Sum of Diameter 35 mm Screening

A2 Sum of Diameter 30 mm Week 6

T01 A3 Diameter 18 mm Week 12

T02 A3 Diameter 22 mm Week 12

A3 Sum of Diameter 40 mm Week 12A3 Percent Change from

Baseline in Sum of Diameter

A3 Percent Change from Nadir in Sum of Diameter

NT01 A3 Tumor State PRESENT Week 12

14 % Week 12

33 % Week 12

11

TR Week 12

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§ Target Lesions: Change from BL / Nadir = 14% / 33%§ Non Target Lesions: Present

RSLNKGRP RSTEST RSCAT RSORRES VISITA2 Overall Response Recist 1.1 SD Week 6

A3 Overall ResponseNon-Target Response Recist 1.1 Non-CR/Non-PD Week 12Target Response Recist 1.1 PD Week 12

Recist 1.1 PD Week 12

12

RS Week 12

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Summary

TU TR RSØ Initial identification

of tumor lesionsØ One record per

tumor

Ø Quantitative/qualitative measurements

Ø Support of responseevaluation

Ø Response evaluationbased on TR

13Frieder Wolff & Vitali Gering

Page 15: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Summary

Good programming is essential...

…knowing the medical context is even better

14Frieder Wolff & Vitali Gering

Page 16: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

Thank you!

Any questions?

15Frieder Wolff & Vitali Gering

Page 17: DS03 Wolff Frieder 20181030 The oncology specific domains ... · Frieder Wolff & Vitali Gering 2 Data Model Medical Background Improved Programming. Study setting §Accompany Steve

References§ Clinical Data Interchange Consortium (CDISC) Submission Data Standards Team.

Study Data Tabulation Model Implementation Guide: Human Clinical Trials. Version 3.2. 2013

§ Eben J. Implementation of oncology specific SDTM domains. Paper PP06. Phuse 2014.

§ Eisenhauer E.A., Therasse, P., Bogaerts, J., Schwartz, L.H., Sargent, D., Ford, R., Dancey, J., Arbuck, S., Gwyther, S., Mooney, M., Rubinstein, L., Shankar, L., Dodd, L., Kaplan, R., Lacombe, D., Verwij, J. New Response Evaluation Criteria in Solid Tumours: Revised RECIST Guideline (Version 1.1). European Journal of Cancer. Vol 45. 2009; (http://www.eortc.be/recist/)

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