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Claudia Marchetti

Policlinico A. Gemelli Foundation, Catholic University of the Sacred Heart, Rome, Italy

Advances in ovarian cancer systemic therapy

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Gynecologic malignancies: EPIDEMIOLOGY

50% are HRd including BRCAm, BRCA1/2 and RAD51 promoter methylation, BRIP1, and other genes involved in homologous recombination

25% ate tBRCAm at diagnosis

15% are gBRCAm at diagnosis

ITALY

Site

Incidence

Mortality

% Mortality

Cervix

3,700

1,700

40%

Ovary

4,150

2,700

60%

Endometrium

5,400

1,600

20%

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Biomarkers play an important role in diagnosing and defining patient populations in ovarian cancer

Half of high-grade serous OC exhibits a high degree of genomic instability due to deficiencies in homologous recombination

50% are HRd including BRCAm, BRCA1/2 and RAD51 promoter methylation, BRIP1, and other genes involved in homologous recombination

25% are tBRCAm at diagnosis

15% are gBRCAm at diagnosis

50% are HRd including BRCAm, BRCA1/2 and RAD51 promoter methylation, BRIP1, and other genes involved in homologous recombination

25% ate tBRCAm at diagnosis

15% are gBRCAm at diagnosis

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1. Moore K, et al. NEJM 2018 2. Ray-Coquard !, et al. NEJM 2019 3. Gonzales-Martin A…Mirza MR, et al. NEJM 2019

PARP inhibitors are effective in patients with primary ovarian cancer

SOLO11

BRCAmut

PAOLA12

PRIMA3

Olaparib

Olaparib + bevacizumab

Niraparib

First-Line maintenance Studies in OC with PARPi

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SOLO1

PRIMA

PAOLA1

ITT

HR 0.30

(0.23-0.41)

HR 0.62

(0.50-0.76)

HR 0.59

(0.49-0.72)

HRd

-

HR 0.43

(0.31-0.59)

HR 0.33

(0.25-0.45)

HRd + BRCAmut

HR 0.30

(0.23-0.41)

HR 0.40

(0.27-0.62)

HR 0.31

(0.20-0.47)

HRd+

BRCAwt

-

HR 0.50

(0.31-0.83)

HR 0.43

(0.28-0.66)

HRp

-

HR 0.68

(0.49-0.94)

HR 0.92

(0.72-1.17)

Efficacy according to BRCA and Genomic Instability

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…. And FROM ESMO….

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SOLO 1-Update

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Prof. Ray-Coquard

PAOLA -1 update

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12

30%

70%

20%

50%

FIT ENOUGH FOR 3weekly? Evaluate!

Advanced EOC regardless of surgical strategy (upfront vs. neoadjuvant)

Biomarker based algorithm

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Eligible Patients

  • Age ≥18 years
  • FIGO stage III/IV ovarian cancer
  • High-grade serous or endometroid tumora
  • Receipt of primary or interval cytoreductive surgery, irrespective of postoperative residual disease status
  • CR/PR to 1L Pt-based chemotherapy

Niraparib*

Placebo*

36 months or until disease progression or unacceptable toxicity

Stratified randomization

  • Status of gBRCA mutations (gBRCAmut/non-gBRCAmut)
  • Tumor HRD statusb (positive/negative)
  • Receipt of neoadjuvant chemotherapy (Y/N)
  • Response to 1L Pt-based chemotherapy (CR/PR)

*Individualised starting dose (ISD) was adopted in ALL patients: �starting dose of 200 mg administered orally, once daily, but 300 mg for patients with body weight ≥77 kg AND platelet count ≥150,000/µL

2:1 Randomization

a There was no histological restriction for patients carrying gBRCA mutations.

b Tumor HRD status testing was conducted with BGI assay (BGI Genomics, Shenzhen, China). The positive stratum consisted of patients who tested positive for tumor HRD with the BGI assay, and the other patients were grouped as the negative stratum.

c The HRD subgroup consisted of patients with a gBRCA mutations and/or tumor with homologous recombination deficiency.

BICR: blinded independent central review; CR, complete response; HRD, homologous recombination deficiency; ITT, intention-to-treat; OS, overall survival; PFS, progression-free survival; PR, partial response; Pt, platinum; TFST, time to first subsequent anti-cancer therapy.

Primary Endpoint

  • PFS by BICR in the ITT population

Secondary Endpoints

  • OS and TFST in the ITT population
  • PFS and OS in the HRD subgroupc
  • Safety

PRIME TRIAL

Li N et al SGO 2022

PRIME: randomized, double-blind, placebo-controlled phase III trial (NCT 03709316)

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BICR, blinded independent central review; CI, confidence interval; HR, hazard ratio; ITT, intention-to-treat;�mPFS, median progression-free survival; NE, not estimable; PD, progressive disease.

Median follow-up: 27.5 months

Niraparib(N=255))

Placebo

(N=129)

PFS (54.4% data maturity)

Events, n (%)

123 (48.2)

86 (66.7)

mPFS (95% CI), months

24.8�(19.2–NE)

8.3

(7.3–11.1)

Patients without PD or death (%)

24 months

52.6

30.4

Li N et al SGO 2022

PFS (by BICR) in the ITT Population PRIME Study Primary Endopoint

16.5 months longer median PFS with niraparib vs placebo

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Subgroup

Events/patients (%)

Hazard ratio for PFS (95% CI)

Niraparib

Placebo

Overall

123/255 (48.2)

86/129 (66.7)

0.45 (0.34–0.60)

Age

<65 years

108/229 (47.2)

73/114 (64.0)

0.47 (0.34–0.63)

≥65 years

15/26 (57.7)

13/15 (86.7)

0.24 (0.09–0.66)

Neoadjuvant chemotherapy

Yes

62/121 (51.2)

46/59 (78.0)

0.32 (0.21–0.48)

No

61/134 (45.5)

40/70 (57.1)

0.63 (0.42–0.94)

Response to Pt-based chemotherapy

Complete response

98/212 (46.2)

66/103 (64.1)

0.45 (0.32–0.61)

Partial response

25/43 (58.1)

20/26 (76.9)

0.45 (0.23–0.86)

gBRCA mutation status

gBRCAmut

35/85 (41.2)

25/40 (62.5)

0.40 (0.23–0.68)

Non-gBRCAmut

88/170 (51.8)

61/89 (68.5)

0.48 (0.34–0.67)

Homologous recombination

Deficient

75/170 (44.1)

57/87 (65.5)

0.48 (0.34–0.68)

Proficient

48/85 (56.5)

29/42 (69.0)

0.41 (0.25–0.65)

Postoperative residual disease status

Optimal

94/193 (48.7)

71/105 (67.6)

0.44 (0.32–0.61)

Suboptimal or missing

29/62 (46.8)

15/24 (62.5)

0.43 (0.21–0.87)

CI, confidence interval; FIGO, International Federation of Gynecology and Obstetric;�PFS, progression-free survival; Pt, platinum.

Li N et al SGO 2022

PFS Benefit in Pre-specified Subgroups

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ATHENA–MONO Study Schema

ATHENA-MONO Study Schema

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ITT Population

HRD Population

Primary Endpoint- Investigator-Assessed PFS

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Investigator-Assessed PFS: Exploratory Subgroups

Investigator-Assessed PFS: Exploratory Subgroups

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20

SOLO 1

PAOLA 1

PRIMA

PRIME

ATHENA

ITT

22.1 vs 16.6

HR 0.59

13.8 vs 8.2

HR 0.62

24.8 vs 8.3

HR 0.45

20.2 vs 9.2

HR 0.52

BRCA-mt

56.0 vs 13.8

HR 0.33

37.2 vs 21.7

HR 0.31

22.1 vs 10.9

HR 0.4

NR vs 10.8

HR 0.40

NR vs 14.7

HR 0.40

HRD-Test Positive

37.2 vs 17.7

HR 0.33

21.9 vs 10.4

HR 0.43

NR vs 11

HR 0.48

28.7 vs 11.3

HR 0.47

HRD-BRCA-wt

28.1 vs 16.6

HR 0.43

19.6 vs 8.2

HR 0.5

24.8 vs 11.1

HR 0.58

20.3 vs 9.2

HR 0.58

HRD Test Negative

16.6 vs 16.2

HR 1

8.1 vs 5.4

HR 0.68

14.0 vs 5.5

HR 0.41

12.1 vs 9.1

HR 0.65

Median Follow-up

57.6 mos

27.4 mos

13.8 mos

27.5 mos

26.1 mos

Primary Maintenance

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Stage IV

disease

Visible

residual disease

Neoadjuvant

chemotherapy

PR to

chemotherapy

BRCAwt

PRIMA

35%

47%

67%

31%

70%

PAOLA-1

30%

40%

42%

27%

70%

PRIME

28%

22%

47%

18%

67%

ATHENA-MONO

25%

25%

51%

18%

79%

SOLO1

17%

24%

35%

18%

0%

HIGH-RISK FACTORS:

  • Stage IV disease
  • Visible residual disease or no surgery
  • IDS/NACT or no surgery
  • PR to chemotherapy
  • BRCAwt, BRCAnd or missing

Gonzalez-Martin et al., 2019; Braicu et al., 2020; Ray-Coquard et al., 2019; Li et al., 2022; Monk et al., 2022; Moore et al., 2018.

PRIMA did not include patients with stage III R0 after PDS

Undestanding differences in patient population is critical for interpreting efficacy results in PARPi studies

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Any steps beyond?

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ANY STEPS BEYOND?

BRCA pts: PARPi alone or PARPi plus BEVA?

PARPi in HRP: any sense or not?

HRD test: is it enough and is it affordable?

Toxicity: does it matter?

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ANY STEPS BEYOND?

BRCA pts: PARPi alone or PARPi plus BEVA?

PARPi in HRP: any sense or not?

HRD test: is it enough and is it affordable?

Toxicity: does it matter?

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Vergote et al SGO 2020

Note: Head-to-head studies have not been conducted and indirect trial comparisons are not recommended. �*These results are based on weighted outcomes after matching tumour location status, ECOG status, FIGO stage, type of surgery (interval vs. upfront), residual disease status after surgery, response to first-line treatment and age to SOLO-1. Confidence intervals generated via bootstrapping

In SOLO-1 median follow-up was 40.7 months in the olaparib arm and 41.2 months in the placebo arm. In PAOLA-1 median follow up was up was 22.7 months in the olaparib + bevacizumab arm and 24.0 months in the placebo + bevacizumab arm. BRCAm, BRCA1 or BRCA2 mutation; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; FIGO, Federation of Gynecology and Obstetrics; HR, hazard ratio; PFS, progression-free survival. 1. Vergote I, et al. Presented at SGO Annual Conference 2020

BRCA pts: PARPi alone or PARPi plus BEVA?

Patients receiving olaparib maintenance monotherapy had a 29% reduction in the risk of disease progression at 24 months compared with those receiving olaparib monotherapy.

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ANY STEPS BEYOND?

BRCA pts: PARPi alone or PARPi plus BEVA?

PARPi in HRP: any sense or not?

HRD test: is it enough and is it affordable?

Toxicity: does it matter?

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PAOLA1 HRp

ATHENA-MONO HRp

PRIMA HRp

Patients with HRp tumours who have a poor prognosis also derive clinical benefit from maintenance therapy

PRIME HRp

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HR Proficient subgroups of PRIMA versus Bevacizumab

PRIME HRp

Gonzalez…Mirza NEJM 2019; Burger NEJM 2011

HRP in BEVA HR 0.71 (0.60-0.85)

Clin Can Res 2018

Niraparib

BRCAwt; HR proficient

Bevacizumab

GOG-2018

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OS subgroups analysis by BRCAm and HRD status

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ANY STEPS BEYOND?

BRCA pts: PARPi alone or PARPi plus BEVA?

PARPi in HRP: any sense or not?

HRD test: is it enough and is it affordable?

Toxicity: does it matter?

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BRCAwt, HR proficient population

HRD test: is enough?

The TEST we want

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BRCAwt, HR proficient population

PROGNOSTIC

PREDICTIVE ??

HRD test is

HRD test analysis from TCGA data set for which copy number data and survival information were available

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PRIMA HRd

PRIME HRd

ATHEN-MONO HRd

PAOLA-1 HRd

Gonzalez-Martin et al., 2019; Ray-Coquard et al., 2019; Li et al., 2022; Monk et al., 2022;

1L trials show substantial PFS benefit with PARPi maintenance therapy in patients with HRd tumours

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SubGroup

PARPi

PLACEBO

HR

 

 

N of patients (%)

N of patients (%)

 

ATHENA-MONO1*

(rucaparib m)

HRD

50/94 (53.1)

17/25 (68)

0.58 (0.33 -1.01)

CR to CT

44/73 (54.7)

8/11 (72.7)

0.48 (0.23-1.03)

PRIMA2

(niraparib m)

HRD

32/95 (33.7)

33/55 (60.0)

0.50 (0.31–0.83)

CR to CT*

146/337 (43.3)

100/172 (58.1)

0.60 (0.46–0.77)

PRIME3

(niraparib m)

HRD

40/85(47)

32/47 (68)

0.88 (0.36–0.93)

CR to CT

98/212 (46.2)

66/103 (64.1)

0.45 (0.32–0.61)

PAOLA1

(bevacizumab and olaparib m)

HRD

43/97 (44)

40/55 (73)

0.43 (0.28–0.66)

CR to CT

54/106 (51)

42/53 (79)

0.44 (0.29–0.66)

HAZARD RATIO OF PROGRESSION FREE SURVIVAL IN PARPi TRIALS

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HRD testing should NOT BE USED TO EXCLUDE the oppurtunity for a patient to be offered PARPi therapy

Study

PRIMA

PRIME

ATHENA-MONO

PAOLA-1

SOLO1

BRCAwt/HRd

0.50

0.58

0.58

0.43

Not available

HRp

0.68

0.41

0.65

1.00

Not available

HRD test

myChoice test (Myriad Genetics) > 42

BGI PARP inhibitor CDx-HRD test

FoundationOne CDx test LOH > 16%

myChoice HRD Plus assay (Myriad Genetics) > 42

Not available (BRACAnalysis test; Myriad Genetics)

HRnd/test failure % (n/N)

15%

Not available

12%

18%

Not available

However, HRD testing does not reliably exclude all patients who do not benefit from PARPi maintenance

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ANY STEPS BEYOND?

BRCA pts: PARPi alone or PARPi plus BEVA?

PARPi in HRP: any sense or not?

HRD test: is it enough and is it affordable?

Toxicity: does it matter?

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PRIME

PRIMA

PAOLA-1

TEAEs, n (%)

Niraparib

(N=255)

Placebo

(N=129)

Niraparib

(N=484)

Placebo

(N=244)

Ola+Beva

(N=535)

Placebo

(N=267)

TEAEs leading to discontinuation

17 (6.7)

7(5.4)

58 (12.0)

6(2.5)

109 (20)

15 (6)

Safety Overview: PRIME vs PRIMA vs PAOLA-1

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Long-term side effects of PARP inhibitors

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Recurrent disease

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  • Patient fit for surgery or not
  • TFI for platinum
  • Persistent toxicity
  • Hypersensitivity reaction
  • Prior response
  • Tumour biology/histology/mutation status
  • Symptoms
  • Number and type of prior lines of treatment

NO NEW SIGNIFICANT DATA

Treatment of Recurrent Ovarian Cancer

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OCEANS

GOG 213

PFISTERER 2022

Status

Reported

Reported

Reported

Population

HGSOC

HGSOC

HGSOC

Design

Phase III

Phase III

Phase III

Regimen

Carboplatin + Gemcitabine + Bevacizumab vs Carboplatin Gemcitabine

Standard CT + Bevacizumab vs standard CT

Carboplatin + Gemcitabine + Bevacizumab vs Carboplatin + PLD + Bevacizumab

Primary endpoint

PFS

OS

PFS

N

randomization

484

1:1

674

1:1

682

1:1

PFS HR

0.48

0.62

0.81

OS HR

0.75

0.82

0.81

BEVACIZUMAB IN ROC

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AZ 19

ENGOT-OV16

NOVA

SOLO 2

ARIEL 3

Status

Reported

Reported

Reported

Ongoing

Population

HSGC

gBRCAmut or

Non gBRCA HGSC

gBRCAmut

HGSC or Emdometrioid

Design

Phase II

Phase III

Phase III

Phase III

Regimen

Olaparib

Vs

placebo

Niraparib

Vs

placebo

Olaparib

Vs

placebo

Rucaparib

Vs

Placebo

Primary endpoint

PFS

PFS

PFS

PFS

N

randomization

265

(2:1)

553

(2:1)

440

(2:1)

540

(2:1)

PFS HR

0.30

gBRCAmut 0.24 (PR), 0.30 (CR)

gBRCAWT 0.35 (PR), 0.58 (CR)

0.30

0.36

OS HR

0.95

/

0.74

Ongoing

PARPi IN ROC

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Rate of PARTIALLY PLASTINUM SENSITIVE pts after maintenance therapy

Rate of PLATINUM RESISTANT

pts after maintenance therapy

ICON 7

BEV+

BEV-

25%

20%

15%

30%

SOLO-1

BRCAmut / OLA-

25-30%

20%

BRCAmut /OLA+

10%

5%

PRIMA

All pts / NIRA-

25%

40%

All pts / NIRA+

15%

20%

PAOLA-1

All pts / BEV+

20%

15%

All pts / BEV+OLA+

10%

10%

*HRD-/ukn /BEV+OLA-

20%

15%

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  1. PARPi have the greatest benefit in early lines

Matulonis UA et al. Ann Oncol 2016; Coleman RL et al. Gynecol Oncol 2015

I consideration: the earlier you give PARPi, the greater the benefit

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ASCO Reccomend AGAINST PARPi retreatment at the present time

Tew , JCO, 2020

II consideration: PARPi rechallenge is not allowed

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OReO/ENGOT Ov-38 trial: Maintenance olaparib rechallenge

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Statistically significant PFS benefit with olaparib in the BRCAm and Non-BRCAm cohort

BRCAm cohort

Non-BRCAm cohort

HR 0.57

HR 0.43

OReO/ENGOT Ov-38 trial: Maintenance olaparib rechallenge

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Non-BRCAm cohort: HRD-positive

Non-BRCAm cohort: HRD-negative

Benefit in the non-BRCAm cohort irrespective of HRD status

HR 0.52

HR 0.49

OReO/ENGOT Ov-38 trial: Maintenance olaparib rechallenge

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ORR 9.5% PFI <6 mo

ORR 11.1% PFI 6-12 mo

ORR 22.2% PFI >12 mo

III consideration:PARPi resistance IS AN ISSUE

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WHY?

Different roads, but lead to the same destination

Mechanisms of resistance:

How overcoming resistance to PARPi?

Targeting new vulnerabilities

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Preventing resistance to PARPi: Combination

Trial

Treatments

Endpoints

FIRS LINE

AGO-DUO

Platinum CT + Bevacizumab +/- Durvalumab +/- Olaparib

PFS

FIRST

Pacli-Carbo CT +/- Bevacizumab +/- Dostarlimab +/- Niraparib

PFS

ENGOT OV 43

Pacli-Carbo CT +/- Bevacizumab +/- Pembrolizumab +/- Olaparib

PFS-OS

Athena

Platinum CT followed by maintenance +/- Nivolumab +/- Rucaparib

PFS

LATE RELAPSE

Anita

Platinum CT + Niraparib +/- Atezolizumab

OS-PFS

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Site of oligometastatic progression

Lymph node

(supra- and sub-diaphragmatic)

17 (61%)

Parenchymal disease

8 (29%)

Peritoneal

6 (21%)

Observational, Retrospective, Single arm study

28 PATIENTS WITH OLIGO-METASTATIC METASTASES UNDER TREATMENT WITH PARPi

Palluzzi, 2022, IJGC

PARP-inhibitors beyond progression: a way to manage

oligo-metastatic ovarian cancer recurrence

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Artificially Prolonged-TFI: OMP-further progression or the last FU

Overall TFI: start of PARPi -extensive progression of disease

7 months

29 months

6 mo surgery, 7 mo SBRT

p 0.84

36 mo surgery, 29 mo SBRT

p 0.49

Progression: No differences according to type of local treatment

(40% after surgery and 38.8% after SBRT )

Observational, Retrospective, Single arm study

Palluzzi, 2022, IJGC

PARP-inhibitors beyond progression: a way to manage

oligo-metastatic ovarian cancer recurrence

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… the concept of OLIGOMETASTASIS has arrived in OC….

ESMO 2022

ESGO 2022

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  • PARP-i have shown spectacular results in HGSOC BRCA mutated patients, both at primary and secondary treatment.
  • PARP-i have shown good results even in BRCAwt women, both at primary and secondary lines.*
  • Results from BEV or PLD/Trabe at recurrence are almost superimposable.
  • PARPi resistance and its overcoming are the next challenge
  • Treatment of oligometastic recurrences might be helpful in selected cases

CONCLUSIONS

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