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Diagnostica molecolare nel carcinoma mammario e impiego dei test genomici nelle scelte terapeutiche

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(1)

Diagnostica molecolare e

impiego dei test genomici nelle scelte terapeutiche

Jennifer Foglietta

USL UMBRIA2- P.O. Narni-Amelia

(2)

►Which test to choose

►Genomic tests vs clinicopathological features

►For which patients

Optimizing the use of genomic prognostic tests

(3)

Rationale for treatment individualization for early HR+/HER2- BC patients

100 BC pts

20% HER2+ BC 15% TN BC

65 HR+/HER2- BC pts candidate to HT 5% >4 Node positive

2-3% too frail for CT

50 HR+/HER2- BC PATIENTS

POTENTIALLY CANDIDATE TO

ADJUVANT Ct + HT

(4)
(5)
(6)

• CT produces the same proportional risk reduction in all patients (EBCTCG).

• This translates into different degrees of absolute benefit, depending on the individual estimate of absolute risk of recurrence.

• What is the threshold of absolute risk of recurrence that defines patients that can be safely spared CT?

Absolute distant recurrence risk at baseline

Relative risk reduction with CT

Absolute risk reduction from CT

Risk of Fatal, life-threatening, permanent CT toxicity

50-60% 30% 15-20% 2-3%

10-15% 30% 2-3% 2-3%

(7)

Paik NEJM 2006

Vijver NEJM 2002 Dowsett JCO 2013 Filipits CCR 2011

MammaPrint

OncotypeDX PAM50 ROR EndoPredict

(include tumor size+nodal status)

Multigene prognostic tests for HR+/HER2-

All have at least LoE1B as prognostic tests: results from >2 prospective

trials analyzed retrospectively, not designed to test the marker

(8)

Paik NEJM 2006

Vijver NEJM 2002 Dowsett JCO 2013 Filipits CCR 2011

MammaPrint

OncotypeDX PAM50 ROR EndoPredict

(include tumor size+nodal status)

Multigene prognostic tests for HR+/HER2-

LoE1A: results from >1 prospective trial

specifically designed to test the marker

(9)

MINDACT: Study Design

32%

Cardoso F, NEJM 2016

(10)

MINDACT DISCORDANT GROUP: PRIMARY ENDPOINT

Cardoso F, NEJM 2016

Median FU 5yrs N=1550 C-High/G-low

90% ER+/HER2- 52% N0 42% T<2cm 71% G1-2

LoE 1A

N=644 no CT

(11)

Sparano JA et al. N Engl J Med 2015;

Sparano JA et al. NEJM 2018

HR+/HER2-, N-negative

T1c-2 any grade or T1b and G2/3

Primary analysis: non-inferiority (iDFS) of HT vs CT+HT in women in the RS 11-25 group.

Oncotype DX®assay

Primary study group

RS 11–25

RS >25

RS <11

Randomize ARM D: CT plus endocrine therapy ARM A: endocrine

therapy alone

ARM C: CT plus endocrine therapy ARM B: endocrine

therapy alone N=1626 (15.9%)

N=6897 (67.3%)

N=1730 (16.9%) Enrolled 10,071 pts

(2006-2010) 900 sites, 6 countries

Trial Assigning IndividuaLized Options for

Treatment (Rx) TAILORx

(12)

TailorX: prognosis of RS low patients

5yrs rate 94.0% ±0.6 5yrs rate 99.3% ±0.62

5yrs rate 98.8% ±0.3 5 yrs rate 98.0% ±0.4

LoE 1A for N-

Sparano JA et al. N Engl J Med 2015

(13)

• Hormone-receptor-positive

• HER2-negative

• Axillary node-negative

Trial Assigning IndividuaLized Options for Treatment (Rx)

TAILORx

(14)

TailorX (N0): RS 11-25, primary endpoint

CT+ET ET

RS 11-25, randomized to CT+ET or ET alone n=6711

Sparano JA et al. N Engl J Med 2018

iDFS 5yrs % 9yrs % ET 92.8 ±0.5 83.3 ±0.9 CT+ET 93.1 ±0.5 84.3 ±0.8

A 5-year rate of invasive disease–free survival of 90% with chemoendocrine therapy and of 87% or less with endocrine therapy alone, which corresponds to a 32.2% higher risk of an invasive disease recurrence, second primary cancer, or death as a result of not administering chemotherapy (hazard ratio, 1.322).

(15)

TAILORx: different cut-offs for young patients

All patients

0-11 >26

Assigned to CT + ET

Young patients (<50 yrs), n=2216

0-11 11-15 16-20 21-25 >26

Good prognosis with ET:

95.1% iDFS 5 yrs

ET: 92.0% iDFS 5 yrs CT: 94.7% iDFS 5yrs 9% fewer iDFS events

with CT (2% distant)

ET: 93.2% iDFS 5 yrs CT: 96.4% iDFS 5yrs 6% fewer iDFS events with CT (mainly distant)

Assigned to CT+ET Good prognosis with ET:

94.0% iDFS 5 yrs

11-25

ET: 92.8% iDFS 5 yrs CT: 93.1% iDFS 5yrs

ET: 95.1% iDFS 5 yrs CT: 94.3% iDFS 5yrs

Sparano JA et al. N Engl J Med 2015;

Sparano JA et al. N Engl J Med 2018;

Sparano JA et al. N Engl J Med 2019

(16)
(17)

Validated gene expression profiles may be used to gain additional prognostic and/or predictive information to complement pathology assessment and help in adjuvant ChT

decision making [I, A].

In cases of uncertainty regarding indications for adjuvant ChT (after consideration of all clinical and pathological factors),expression of uPA-PAI1 [I, A] or gene expression assays, such as MammaPrint [I, A], Oncotype DX [I, A], Prosigna, Endopredict or Breast Cancer Index, can be used.

(18)

TMMP non rientrano nei Livelli Essenziali di Assistenza (LEA)

(19)

Dieci MV et al, Oncologist 2018

• 52% of these patients were candidate to ET alone

• 16% rate of change in treatment

recommendation, mostly from CT+HT to HT.

• According to nodal status, rate of change in treatment decision was 12% for the N0 cohort and

20% for the N1 cohort

• 8% net reduction in CT recommendation

BREAST-DX Italy Study

Characteristics:

- Grade 2 tumors 71%

- median age 55 years

- median tumor size 16 mm

- median Ki67 exp 20%.

(20)

ROXANE: PRospective multicenter study to assess the impact of the Oncotype DX® Breast Cancer Assay on Resources Optimization and Treatment Decisions for Women with Estrogen Receptor-

Positive, Node-Negative and Node-Positive Breast Carcinoma Prospective observational multicentric study

Sponsor: Istituto Oncologico Veneto IRCCS, Padova Support: Genomic Health (RS tests free of charge)

Rationale:

the impact of RS test on adjuvant treatment decisions in a scenario where, whenever physicians are unsure about treatment recommendation, the test is available

• Overall change in treatment recommendation: 30% (75/251)

• Main change from CT+HT to HT: 77% (58/75)

Dieci MV et al, Oncologist 2019

(21)

• Chemioterapia si o no?

(22)

ALWAYS consider classical clinicopathological features

• It is challenging to provide a universally accepted definition of the patients for whom the test would be most useful:

Avoid offering the test to patients not suitable for chemotherapy

Avoid offering the test to patients at very low or very high risk for whom the decision is highly unlikely to change

• Regulatory restrictions limit the use outside clinical studies in many countries

• Collaboration with academia, health authorities, companies, patients on a local perspective

Optimizing the use of genomic prognostic tests

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