umbrella study in cervical cancer GCIG PIs: Drs. Elise Kohn, - - PowerPoint PPT Presentation

umbrella study in cervical cancer
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umbrella study in cervical cancer GCIG PIs: Drs. Elise Kohn, - - PowerPoint PPT Presentation

G-TAC: A GCIG-wide targeted therapy umbrella study in cervical cancer GCIG PIs: Drs. Elise Kohn, Mansoor Mirza, Amit Oza Group PIs: TBD by arm GCIG/Pharma collaboration G-TAC: GCIG - Targeted Agents in CxCa Drug C Drug B Drug D Drug A


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SLIDE 1

G-TAC: A GCIG-wide targeted therapy umbrella study in cervical cancer

GCIG PIs: Drs. Elise Kohn, Mansoor Mirza, Amit Oza Group PIs: TBD by arm GCIG/Pharma collaboration

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SLIDE 2

G-TAC: GCIG - Targeted Agents in CxCa

Drug A Drug E Drug B Drug D Drug C

GCIG

  • creation of a “critical mass” of patient experience
  • over numerous targeted agents
  • more rapid potential accrual and maturation than single trial
  • common data and laboratory elements
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SLIDE 3

G-TAC: GCIG - Targeted Agents in CxCa

Gr A Drug A Gr E Drug E Gr B Drug B Gr D Drug D Gr C Drug C

GCI G

DESIGN:

  • core committee (subprotocol PIs)
  • common core protocol (precis reviewed)
  • common clinical data elements—harmonization

planned, minimum CDEs to keep simple

  • common biospecimen collection (for discussion*)
  • common laboratory endpoints (for discussion)

Simple minimal collection (1 block/1 tube blood) can be attempted with later Introduction of laboratory endpoints pending investigators, collection, funding

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SLIDE 4
  • Central umbrella protocol such as:
  • high risk post CCRT pts (+12 wk CT), IIIB/IVA
  • tissue available from diagnosis
  • randomization v observation (SoC)
  • endpoint: TTP, with biopsy proven recurrence with tissue for

molecular endpoints preferred

  • Mandatory collection of tissue for uniform molecular analyses
  • WES across all arms will build large resource for mining
  • Opportunity for per arm translational add-ons relative to their

arm or across arms

Drug A Drug E Drug B Drug D Drug C

GCIG

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SLIDE 5

G-TAC: GCIG - Targeted Agents in CxCa

Gr A Drug A Gr E Drug E Gr B Drug B Gr D Drug D Gr C Drug C

GCI G

DESIGN ELEMENTS

OBJECTIVES

  • 10: PFS
  • Median?
  • Landmark: options 2 or 3 years
  • 20:
  • OS, sites of recurrence
  • Development of historical control dataset (meta analysis)
  • PRO?, could do meta of control pts to have baseline for

future evaluation

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SLIDE 6

DESIGN ELEMENTS

DESIGN

  • Common observation control arm
  • Eligibility:
  • newly diagnosed untreated (no surgery)
  • Entry at any time during CCRT or within XX months of

completion to start therapy within 3 months of completion

  • f treatment (can include any type chemoradiotherapy +/-

brachy

  • Intermediate to high risk IB2 – IVA
  • Any +ve LN on exam, path, imaging, PET/CT
  • Any IIIA, B, IVA
  • Squamous, adeno, adenosquamous
  • ECOG 0-2, informed consent

post CRT CaCx maintenance therapy

R

OBSERVATION

selected AGENT(s)

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SLIDE 7

DESIGN ELEMENTS

DESIGN

  • Each randomization is independent within the umbrella with
  • verarching collaborative agreement for meta analysis and

template for harmonized CRFs

  • Each randomization includes the same observation/BSC arm
  • Each “subprotocol” includes the preplanned meta-analysis of

controls

  • Registration can be early. Nonresponders do not randomize.

(useful because gives some sense of early failures)

  • Randomization to be determined when? 3 months post tx?

post CRT CaCx maintenance therapy

R

OBSERVATION/ BSC

selected AGENT(s)

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SLIDE 8

G-TAC: GCIG - Targeted Agents in CxCa

Gr A Drug A Gr E Drug E Gr B Drug B Gr D Drug D Gr C Drug C

GCI G

DATA COLLECTION

HARMONIZATION Required across all participating groups for

  • minimum data required
  • common data elements
  • eCRFs
  • translational targets minimum harmonized
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SLIDE 9

G-TAC: GCIG - Targeted Agents in CxCa

Gr A Drug A Gr E Drug E Gr B Drug B Gr D Drug D Gr C Drug C

GCI G

STATISTICAL ELEMENTS

Points to consider:

  • Unbalanced randomization based on number of starting

randomizations (eg 2:1 or 3:1)

  • Stratification factors:
  • Pelvic v paraAo LN v none
  • Brachy or not
  • NED v any residual at XX months
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SLIDE 10

PROGRESS TO DATE

NSGO

Mirza niraparib

GGOC

Jhingran

GEICO

Oaknin

CCTG

Doll PI3Ki

PMHC

Lheureux Survivac

GCIG

ANZGOG

Mileshkin ?cediranib

GOTIC

Fujiwara

* Study discussions initiated * *

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SLIDE 11
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SLIDE 12

G-TAC: GCIG - Targeted Agents in CxCa

Gr A Drug A Gr E Drug E Gr B Drug B Gr D Drug D Gr C Drug C

GCI G

STATISTICAL ELEMENTS

“…assumption… a reasonable proportion of stage III patients with adverse prognostic and features and including stage IVa patients that would give an overall 2 year PFS rate of around 40% in maybe around 20% of all patients.” Thanks to Dr. Paul SAMPLE SIZE CONSIDERATIONS: 2 yr PFS H0= 40%  Ha= 55%, HR 0.65 Requires 99 PFS events observed for 90% power, a = 20% 1-sided if 2.2 pt accrued/month5 yr recruitment with another 20 mo for maturation if went 2:1 randomization reduces recruitment to 3.3 yr, 28 mo for maturation