REVIEW article

Front. Oncol., 17 October 2023

Sec. Gynecological Oncology

Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1258228

Overcoming the challenges of drug development in platinum-resistant ovarian cancer

  • 1. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Rebecca and John Moores Cancer Center, University of California San Diego Health, San Diego, CA, United States

  • 2. Gynecologic Oncology, Stephenson Cancer Center, The University of Oklahoma College of Medicine, Oklahoma, OK, United States

  • 3. Gynecologic Oncology, HonorHealth Research Institute, University of Arizona College of Medicine, Creighton University School of Medicine, Phoenix, AZ, United States

  • 4. Obstetrics and Gynecology, University of Cincinnati Cancer Center, Cincinnati, OH, United States

  • 5. Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States

  • 6. Division of Gynecologic Oncology, The Ohio State University and The James Comprehensive Cancer Center, Columbus, OH, United States

  • 7. Gynecologic Oncology, US Oncology Research, Texas Oncology, The Woodlands, TX, United States

Abstract

The definition of “platinum-resistant ovarian cancer” has evolved; it now also reflects cancers for which platinum treatment is no longer an option. Standard of care for platinum-resistant ovarian cancer is single-agent, non-platinum chemotherapy with or without bevacizumab, which produces modest response rates, with the greatest benefits achieved using weekly paclitaxel. Several recent phase 3 trials of pretreated patients with prior bevacizumab exposure failed to meet their primary efficacy endpoints, highlighting the challenge in improving clinical outcomes among these patients. Combination treatment with antiangiogenics has improved outcomes, whereas combination strategies with immune checkpoint inhibitors have yielded modest results. Despite extensive translational research, there has been a lack of reliable and established biomarkers that predict treatment response in platinum-resistant ovarian cancer. Additionally, in the platinum-resistant setting, implications for the time between the penultimate dose of platinum therapy and platinum retreatment remain an area of debate. Addressing the unmet need for an effective treatment in the platinum-resistant setting requires thoughtful clinical trial design based on a growing understanding of the disease. Recent cancer drug approvals highlight the value of incorporating molecular phenotypes to better define patients who are more likely to respond to novel therapies. Clinical trials designed per the Gynecologic Cancer InterGroup recommendations—which advocate against relying solely upon the platinum-free interval—will help advance our understanding of recurrent ovarian cancer response where platinum rechallenge in the platinum-resistant setting may be considered. The inclusion of biomarkers in clinical trials will improve patient stratification and potentially demonstrate correlations with biomarker expression and duration of response. With the efficacy of antibody-drug conjugates shown for the treatment of some solid and hematologic cancers, current trials are evaluating the use of various novel conjugates in the setting of platinum-resistant ovarian cancer. Emerging novel treatments coupled with combination trials and biomarker explorations offer encouraging results for potential strategies to improve response rates and prolong progression-free survival in this population with high unmet need. This review outlines existing data from contemporary clinical trials of patients with platinum-resistant ovarian cancer and suggests historical synthetic benchmarks for non-randomized trials.

1 Introduction: Current landscape in platinum-resistant ovarian cancer

Although surgery and platinum-based chemotherapy are effective treatment strategies for advanced-stage epithelial ovarian cancer, most tumors will relapse within several years and develop resistance to platinum-based therapy (1). This state, termed platinum-resistant ovarian cancer (PROC), is defined as progression within 6 months of the last platinum-based regimen (2, 3). Despite advances in ovarian cancer treatment over the past decade, PROC remains a lethal disease with limited therapeutic options (2).

The current standard treatment for PROC is single-agent non-platinum chemotherapy—the most common of which are pegylated liposomal doxorubicin (PLD), paclitaxel, gemcitabine, and topotecan—with or without bevacizumab (2). As monotherapies, the clinical benefit of non-platinum single agents is modest in pretreated patients, with low objective response rates (ORR, 6%–13%), median progression-free survival (mPFS) of <6 months, and overall survival (OS) of <1 year (46). However, adding bevacizumab markedly increases clinical benefit (ORR, 31%; mPFS, 6.7 months; median OS [mOS], 16.6 months), particularly when combined with weekly paclitaxel (7, 8). Among tumors with BRCA mutations or homologous recombination deficiency (HRD), poly[adenosine diphosphate-ribose] polymerase inhibitors (PARPi) have changed the front-line treatment landscape. The role of PARPi in PROC is limited. For tumors that are PARPi naïve and BRCA mutated, the response rate in a single-arm study approached 30% (9). For tumors that are BRCA wild-type, PARPi are not considered a treatment option, as the response rate is <5% (2, 9). Most recently, mirvetuximab soravtansine, an antibody-drug conjugate (ADC) targeting folate receptor alpha (FRα), was approved by the US Food and Drug Administration (FDA) for patients with PROC and high FRα expression (10).

Bevacizumab, a monoclonal antibody that inhibits vascular endothelial growth factor (VEGF), received approval in the US and Europe in 2014 for use in combination with chemotherapy in PROC based on the results of the phase 3, randomized AURELIA trial (7, 11, 12). In AURELIA, treatment with bevacizumab combined with PLD, paclitaxel, or topotecan resulted in a longer mPFS compared to chemotherapy alone (6.7 vs 3.4 months [hazard ratio (HR), 0.48; 95% CI, 0.38–0.60; P<.001]) (7). Furthermore, the ORR of chemotherapy plus bevacizumab was also higher than that of chemotherapy alone (30.9% vs 12.6% [95% CI, 9.6–27.0; P<.001]) (7). In a correspondence published after the primary AURELIA manuscript, the paclitaxel plus bevacizumab cohort exhibited the greatest benefit, with an ORR of 53.3% (8). Interestingly, the paclitaxel monotherapy cohort performed notably well, with an ORR of 30.2% (8). Importantly, the AURELIA study population was limited to patients with ≤2 prior anticancer regimens, excluded tumors that progressed on platinum-based therapy, and included few patients with prior bevacizumab exposure (7). Single-agent bevacizumab first showed efficacy in the platinum-resistant, later-line treatment setting (13).

Bevacizumab is approved for first-line treatment of stage III/IV ovarian cancer in platinum-sensitive ovarian cancer (PSOC) and in PROC (<2 prior lines of therapy), impacting the relevance of the AURELIA data in contemporary patient cohorts (11). The AURELIA patient population may no longer accurately represent the PROC population, making response comparisons between historical and contemporary cohorts challenging.

When PROC progresses after treatment with bevacizumab-containing regimens, single-agent non-platinum chemotherapy is usually implemented (2). The efficacy of single-agent non-platinum chemotherapy with (n=52) or without (n=51) bevacizumab in Japanese patients with PROC that recurred after a bevacizumab-containing chemotherapy regimen was investigated in the open-label, randomized, phase 2 JGOG3023 trial (14). Although patients receiving chemotherapy plus bevacizumab had a numerically greater mOS than those receiving chemotherapy alone (15.3 vs 11.3 months [HR, 0.67; 95% CI, 0.38–1.17; P=.1556]) and a higher ORR (25.0% vs 13.7% [P=.0599]), the results were not significant, likely due to a small sample size (14).

Recent phase 3 trials investigating novel regimens (CORAIL, JAVELIN Ovarian 200, NINJA, FORWARD I) failed to meet their primary efficacy endpoints, highlighting the challenges of treating PROC (Table 1) (6, 1517). These trials enrolled pretreated patients (≥1 prior line of therapy) with prior bevacizumab exposure ranging from 26%–49% (6, 1517). Response rates in control groups that received standard-of-care, single-agent chemotherapy ranged from 4%–13%, with a mPFS between 3.5–4.4 months, and a mOS between 11–13 months (Table 1) (6, 1517).

Table 1

TrialPrior Lines of TherapyEndpointsStudy PopulationAgentORR, %mPFS, monthsmOS, months
CORAIL (6)1–3 prior lines of chemotherapyPrimary:
PFS (IRC)
Secondary:
PFS (IA), OS, ORR, DOR (IRC)
90% serous;
53% (primary),
48% (secondary)
platinum-resistant;
46% prior BEV;
BRCA mutation status assessed
PLD or topotecan
(n=221)
12.7%
(95% CI, 8.6–17.8)
3.6
(95% CI, 2.7–3.8)
10.9
(95% CI, 9.3–12.5)
82% serous;
50% (primary),
50% (secondary)
platinum-resistant;
40% prior BEV;
BRCA mutation status assessed
Lurbinectedin
(n=221)
14.5%
(95% CI, 10.1–19.5)
3.5
(95% CI, 2.1–3.7)
11.4
(95% CI, 9.0–14.2)
JAVELIN Ovarian 200 (15)1–3 prior lines of chemotherapyPrimary:
PFS (BICR), OS
Secondary:
ORR, DOR, disease control
(BICR and IA)
71% high-grade serous;
75% platinum-resistant;
28% prior BEV;
PD-L1 and CD8 expression assessed
PLD
(n=190)
4.0%
(95% CI, 2.0–8.0)
3.5
(95% CI, 2.1–4.0)
13.1
(95% CI, 11.8–15.5)
65% high-grade serous;
75% platinum-resistant;
26% prior BEV;
PD-L1 and CD8 expression assessed
Avelumab + PLD
(n=188)
13.0%
(95% CI, 9.0–19.0)
3.7
(95% CI, 3.3–5.1)
15.7
(95% CI, 12.7–18.7)
72% high-grade serous;
75% platinum-resistant;
34% prior BEV;
PD-L1 and CD8 expression assessed
Avelumab
(n=188)
4.0%
(95% CI, 2.0–8.0)
1.9
(95% CI, 1.8–1.9)
11.8
(95% CI, 8.9–14.1)
NINJA (16)≥1 prior regimen after platinum-resistance diagnosisPrimary:
OS
Secondary:
PFS, BOR, ORR, DOR, TTR (IA)
60% serous;
100% platinum-resistant;
PD-L1 expression and BRCA mutation status assessed
Gemcitabine or PLD
(n=159)
13.2%
(95% CI, 7.6–20.8)
3.8
(95% CI, 3.6–4.2)
12.1
(95% CI, 9.3–15.3)
64% serous;
100% platinum-resistant;
PD-L1 expression and BRCA mutation status assessed
Nivolumab
(n=157)
7.6%
(95% CI, 3.5–13.9)
2.0
(95% CI, 1.9–2.2)
10.1
(95% CI, 8.3–14.1)
FORWARD I (17)1–3 prior lines of anticancer therapyPrimary:
PFS (BICR)
Secondary:
ORR (BICR), OS
97% high-grade serous;
100% platinum-resistant;
47% prior BEV;
FRα expression ≥75% (10x staining) required;
BRCA mutation status assessed
IC chemotherapy
(n=118)
12.0%4.411.8
99% high-grade serous;
100% platinum-resistant;
49% prior BEV;
FRα expression ≥75% (10x staining) required;
BRCA mutation status assessed
Mirvetuximab soravtansine
(n=248)
22.0%4.1NR
MIRASOL (18, 19)1−3 prior lines of anticancer therapyPrimary:
PFS (IA)
Secondary:
ORR (IA), OS, PROs
100% high-grade serous;
100% platinum-resistant; 63% prior BEV;
FRα expression ≥75% (PS2+ staining) required;
BRCA mutation status assessed
IC chemotherapy
(n=226)
15.9%
(95% CI, 11.4–21.4)
4.0
(95% CI, 2.9–4.5)
12.8
(95% CI, 10.9–14.4)
100% high-grade serous;
100% platinum-resistant; 61% prior BEV;
FRα expression ≥75% (PS2+ staining) required;
BRCA mutation status assessed
Mirvetuximab soravtansine
(n=227)
42.3%
(95% CI, 35.8–49.0)
5.6
(95% CI, 4.3–6.0)
16.5
(95% CI, 14.5–24.6)

Recent phase 3 trials in patients with platinum-resistant recurrent ovarian cancer comparing single-agent chemotherapy to an experimental agenta.

a

This table is not exhaustive.

BEV, bevacizumab; BICR, blinded independent central review; BOR, best overall response; BRCA, BReast CAncer gene; CD8, cluster of differentiation 8; DOR, duration of response; FRα, folate receptor alpha; IA, investigator assessed; IC, investigator’s choice; IRC, Independent Review Committee; mOS, median overall survival; mPFS, median progression-free survival; NR, not reached; ORR, objective response rate; OS, overall survival; PD-L1, programmed cell death ligand 1; PFS, progression-free survival; PLD, pegylated liposomal doxorubicin; PROs, patient-reported outcomes; PS2+, positive staining 2+; TTR, time to tumor response.

2 Drug development in platinum-resistant ovarian cancer

Since the breakthroughs of paclitaxel, topotecan, and PLD in the 1990s, ovarian cancer treatments stagnated until 2014. Bevacizumab and PARPi transformed the front-line treatment of high-grade epithelial ovarian cancer, resulting in multiple new FDA approvals granted between 2014–2020 (Figure 1) (12). This shifted the ovarian cancer treatment paradigm to include combination and maintenance regimens after initial diagnosis and surgical resection. Conversely, 1 PROC treatment has been approved since the approval of bevacizumab plus chemotherapy in 2014 (10, 12).

Figure 1

Limited efficacy signals in PROC clinical trials underscore the challenge of drug development for these patients, and the implications of prior bevacizumab or PARPi exposure on response are unclear. Trials evaluating combination treatment with immunotherapy and chemotherapy in PROC also yielded disappointing results. Lurbinectedin, a cytotoxic agent that inhibits oncogenic transcription, was evaluated vs chemotherapy (PLD or topotecan) in the open-label, phase 3 CORAIL trial in patients with PROC, including those with prior bevacizumab exposure (lurbinectedin arm, 40%; PLD/topotecan arm, 46%) (6). CORAIL failed to meet the primary endpoint of significant improvement in PFS between lurbinectedin and PLD/topotecan (mPFS, 3.5 vs 3.6 months [P=.6059]) (6). JAVELIN Ovarian 200, an open-label, phase 3 trial evaluating avelumab (anti–programmed cell death-ligand 1 [PD-L1]) monoclonal antibody) combined with PLD vs PLD alone, was not superior in mPFS (3.7 vs 3.5 months [HR, 0.78; repeated 93.1% CI, 0.59–1.24; one-sided P=.030]) or mOS (15.7 vs 13.1 months [HR, 0.89; repeated 88.85% CI, 0.74–1.24; one-sided P=.21]) (15). Similarly, trials evaluating single-agent immune checkpoint inhibitors have reported either modest or statistically insignificant benefits, with response rates below 13% (15, 16, 22). NINJA, an open-label, phase 3 trial of the anti–programmed cell death 1 protein (PD-1) monoclonal antibody nivolumab vs chemotherapy, failed to demonstrate any statistical difference in OS (16). Indeed, mOS in the nivolumab arm was shorter compared with chemotherapy (10.1 vs 12.1 months [HR, 1.0; 95% CI, 0.8–1.3; P=.808]) (16). Trials evaluating monotherapies (eg, PARPi, immunotherapies) in PROC have also yielded disappointing results (Table 2) (9, 22, 23, 25, 27, 28). In the open-label, phase 2 KEYNOTE-100 trial in patients with advanced recurrent ovarian cancer, the anti-PD-L1 monoclonal antibody pembrolizumab showed a modest ORR of 7.4% in cohort A (1–3 prior regimens; platinum-free interval [PFI] or treatment-free interval [TFI] 3–12 months) and 9.9% in cohort B (4–6 prior regimens; PFI or TFI ≥3 months) (22). However, a prespecified analysis of KEYNOTE-100 found that higher PD-L1 expression (combined positive score ≥10) correlated with higher ORR, regardless of clinical features such as number of prior treatment lines and degree of platinum sensitivity (22).

Table 2

Trial/
Phase
Treatment
(N)
Study PopulationEndpointsOutcome by Platinum Sensitivity
OverallResistantSensitive
PARPi
Study 42 subgroup
Phase 2 (23)
Olaparib
(N=137)
• Histology data not reported
• Germline BRCA1/2-mutated advanced ovarian cancer
• ≥3 prior lines of chemotherapy
• Platinum-resistant (59%)
• Platinum-refractory (10%)
• Platinum-sensitive (28%)
ORR34.0%
(95% CI, 26.0–42.0)
30.0%
(95% CI, 20.0–41.0)
46.0%
(95% CI, 30.0–63.0)
DORmDOR=7.9 months
(95% CI, 5.6–9.6)
mDOR=8.0 months
(95% CI, 4.8–14.8)
mDOR=8.2 months
(95% CI, 5.6–13.5)
PFSmPFS=6.7 months
(95% CI, 5.5–7.6)
mPFS=5.5 months
(95% CI, 4.2–6.7)
mPFS=9.4 months
(95% CI, 6.7–11.4)
Study 10 and ARIEL2
Phase 2 (24)
Rucaparib
(N=106)
• 92% serous
BRCA1/2-mutated high-grade ovarian carcinoma
• ≥2 prior lines of chemotherapy
• ≥3 prior lines of chemotherapy
• Platinum-resistant (19%)
• Platinum-sensitive (75%)
ORR (IA)53.8%
(95% CI, 43.8–63.5)
25.0%
(95% CI, 8.7–49.1)
65.8%
(95% CI, 54.3–76.1)
DOR (IA)mDOR=9.2 months
(95% CI, 6.6–11.6)
NANA
ARIEL4
Phase 3 (25, 26)
Rucaparib
(N=233)
• 89% serous
BRCA1/2-mutated relapsed ovarian cancer
• ≥2 prior lines of chemotherapy
• Platinum-resistant (51%)
• Platinum-sensitive (49%)
PFS (IA)mPFS=7.4 months
(95% CI, 6.7–7.9)
mPFS=6.4 months
(95% CI, 5.5–7.4)
mPFS=12.9 months
(95% CI, 9.2–14.8)
OSmOS=19.4 monthsNANA
QUADRA
Phase 2 (9)
Niraparib
(N=63)
• Metastatic, relapsed, high-grade serous epithelial ovarian cancer (100%)
• HRD-positive
• ≥3 prior lines of chemotherapy
• Platinum-resistant (33%)
• Platinum-refractory (35%)
ORR (IA)15.0%10.0%26.0%
Immunotherapy (anti-PD-1)
UMIN000005714
Phase 2 (27)
Nivolumab
(N=20)
• 75% serous
• Platinum-resistant ovarian cancer
• ≥2 prior lines of chemotherapy
• ≥4 prior lines of chemotherapy
• PD-L1 expression assessed
ORR (ICR)15.0%
(95% CI, 3.2–37.9)
15.0%
(95% CI, 3.2–37.9)
NA
PFS3.5 months
(95% CI, 1.7–3.9)
3.5 months
(95% CI, 1.7–3.9)
NA
OS20.0 months
(95% CI, 7.0–NR)
20 months
(95% CI, 7.0–NR)
NA
KEYNOTE-100
Phase 2 (22)
Pembrolizumab
Cohort A: N=285
Cohort B: N=91
• 75% high-grade serous
• Advanced recurrent ovarian cancer
• Cohort A: 1–3 prior lines with PFI or TFI 3–12 months
• Cohort B: 4–6 prior lines with PFI or TFI ≥3 months
• Platinum-resistant recurrent (38%)
• PD-L1 expression assessed
ORRCohort A: 7.4%
(95% CI, 4.6–11.0)
Cohort B: 9.9%
(95% CI, 4.6–17.9)
Both cohorts:
7.8%
(95% CI, 4.0–13.5)
NA
PFSCohort A: mPFS=2.1 months
(95% CI, 2.1–2.2)
Cohort B: mPFS=2.1 months
(95% CI, 2.1–2.6)
NANA
OSCohort A: mOS=NR
(95% CI, 16.8–NR)
Cohort B: mOS=17.6 months
(95% CI, 13.3–NR)
NANA

Select monotherapy clinical trials with results in heavily pretreated patients with platinum-resistant ovarian cancer.

BRCA, BReast CAncer gene; DOR, duration of response; HRD, homologous recombination deficiency; IA, investigator assessed; ICR, independent central review; mDOR, median duration of response; mOS, median overall survival; mPFS, median progression-free survival; NA, not available; NR, not reached; ORR, objective response rate; OS, overall survival; PARPi, poly (adenosine diphosphate-ribose) polymerase inhibitors; PD-1, programmed cell death 1 protein; PD-L1, programmed cell death ligand 1; PFI, platinum-free interval; PFS, progression-free survival; TFI, treatment-free interval.

3 Opportunities and challenges

Numerous unsuccessful clinical trials in PROC underscore the need to identify effective treatments. Novel combinations using existing therapies may improve outcomes. Recent phase 2 and 3 clinical trials of combination therapies are summarized in Table 3.

Table 3

Trial/
Phase
Treatment
(N)
Study PopulationEfficacy
Chemotherapy plus antiangiogenic agent
NCT00913835 (29)
Phase 2
Olaratumab + PLD (n=62) vs PLD (n=61)Platinum-refractory or platinum-resistanta advanced ovarian cancer, histology data not reported
1–3 prior platinum-containing regimens
PDGFRα expression assessed
Primary: PFS
 Olaratumab + PLD, mPFS=4.2 months
 PLD, mPFS=4.0 months
 HR=1.04 (95% CI, 0.70–1.56); P=.837
Secondary: OS
 Olaratumab + PLD, mOS=16.6 months
 PLD, mOS=16.2 months
 HR=1.10 (95% CI, 0.71–1.71); P=.678
TRIAS (30)
Phase 2
Topotecan + sorafenib (n=83) vs topotecan + placebo (n=89)Platinum-resistant ovarian cancer, 79% serous (overall population)
≤2 prior lines of therapy for recurrent disease
Primary: PFS (IA)
 Topotecan + sorafenib, mPFS=6.7 months
 Topotecan + placebo, mPFS=4.4 months
 HR=0.60 (95% CI, 0.43–0.83); P=.0018
AEROC (31)
Phase 2
Apatinib + oral etoposide (N=35)Platinum-refractory or platinum-resistant ovarian cancer, 77% high-grade serousPrimary: ORR
 54.2% (95% CI, 36.6–71.2); 0 CR, 19 PR
Secondary: PFS and DOR
 mPFS=8.1 months (95% CI, 2.8–13.4)
 mDOR=7.4 months (95% CI, 2.3–12.0)
GOG Protocol 260 study (32)
Phase 2
IV elesclomol + weekly paclitaxel (N=56)Platinum-resistant, recurrent, or persistent epithelial ovarian cancer, 79% serous
1 prior platinum-containing regimen
Primary: ORR
 19.6% (90% CI, 11.4–30.4); 1 CR, 10 PR
Secondary: PFS and OS
 mPFS=3.6 months
 mOS=13.3 months
Chemotherapy plus agents targeting DNA damage repair
NCT01164995 (33)
Phase 2
Carboplatin + AZD1775 (adavosertib) (N=23)Platinum-refractory or platinum-resistantb ovarian cancer, TP53-mutated, 70% serous
All received prior first-line platinum + paclitaxel-based therapy
Mutations in WEE1-related genes assessed
Primary: ORR
 43.0% (95% CI, 22.0–66.0); 1 CR, 8 PR
Secondary: PFS and OS
 mPFS=5.3 months (95% CI, 2.3–9.0)
 mOS=12.6 months (95% CI, 4.9–19.7)
NCT02151292 (34)
Phase 2
Gemcitabine + adavosertib (n=65) vs gemcitabine + placebo (n=34)Platinum-refractory or platinum-resistant recurrent ovarian cancer, 100% high-grade serous (main cohort)
Unlimited prior lines
BRCA and TP53 mutation status assessed
Primary: PFS
 Gemcitabine + adavosertib, mPFS=4.6 months  (95% CI, 3.6–6.4)
 Gemcitabine + placebo, mPFS=3.0 months  (95% CI, 1.8–3.8)
 HR=0.55 (95% CI, 0.35–0.90); P=.015
NCT02595892 (35)
Phase 2
Gemcitabine + berzosertib (n=34) vs gemcitabine (n=36)Platinum-resistant ovarian cancer, 100% high-grade serous (overall population)
Unlimited prior lines of cytotoxic therapy in platinum-sensitive setting; up to 1 prior line in platinum-resistant setting
BRCA mutation status assessed
Primary: PFS
 Gemcitabine + berzosertib, mPFS=22.9 weeks  (90% CI, 17.9–72.0)
 Gemcitabine, mPFS=14.7 weeks  (90% CI, 9.7–36.7)
 HR=0.57 (90% CI, 0.33–0.98); P=.044
Secondary: ORR
 Gemcitabine + berzosertib, 3% Gemcitabine, 11%
Anti-PD-1/PD-L1 combination therapy
NRG GY003 (36)
Phase 2
Nivolumab (n=49) vs nivolumab + ipilimumab (n=51)Recurrent or persistent ovarian cancer (platinum-resistant and platinum-sensitive included), 84% high-grade serous (overall population)
1–3 prior lines
PD-L1 expression assessed
Primary: ORR
 Nivolumab, 12.2%; 3 CR, 3 PR
 Nivolumab + ipilimumab, 31.4%; 3 CR, 13 PR
Secondary: PFS and OS
 Nivolumab, mPFS=2.0 months
 Nivolumab + ipilimumab, mPFS=3.9 months
 HR=0.53 (95% CI, 0.34–0.82); P=.004
 Nivolumab, mOS=21.8 months
 Nivolumab + ipilimumab, mOS=28.1 months
 HR=0.79 (95% CI, 0.44–1.42); P=.43
TOPACIO/KEYNOTE-162 (37)
Phase 1/2
Pembrolizumab + niraparib (N=62)Platinum-resistant recurrent ovarian cancer, histology data not reported
≤5 prior lines
PD-L1 expression, BRCA mutation status, and HRD status assessed
Primary: ORR (IA)
 Total population: 18.0% (90% CI, 11.0–29.0); 3 CR, 8 PR
 Platinum-resistant: 21.0% (90% CI, 9.0–37.0)
 ≥3 prior lines: 11.0% (90% CI, 4.0–24.0)
 Prior bevacizumab exposure: 19.0%  (90% CI, 9.0–33.0)
Secondary: PFS
 Total population, mPFS=3.4 months  (95% CI, 2.1–5.1)
PARPi plus antiangiogenic agent
CONCERTO (38)
Phase 2b
Cediranib + olaparib (N=60)Platinum-resistant recurrent ovarian cancer without germline BRCA1/2 mutation, 90% high-grade serous
≥3 prior lines
Somatic BRCA mutation status and mutation of HRR-related genes assessed
Primary: ORR (ICR)
 15.3% (95% CI, 7.2–27.0); 1 CR, 1 PR
Secondary: PFS and OS
 mPFS=5.1 months (95% CI, 3.5–5.5)
 mOS=13.2 months (95% CI, 9.4–16.4)
BAROCCO (39)
Phase 2
Cediranib + olaparib (continuous) or cediranib + olaparib (intermittent) vs paclitaxel (n=41, each arm)Platinum-resistant high-grade epithelial ovarian cancer, 84% serous (overall population)
≥1 prior line
BRCA mutation status assessed
Primary: PFS
 Continuous, mPFS=5.6 months
 Intermittent, mPFS=3.8 months Paclitaxel, mPFS=3.1 months
 Continuous vs paclitaxel, HR=0.76  (90% CI, 0.50–1.14); P=.265
 Intermittent vs paclitaxel, HR=1.03  (90% CI, 0.68–1.55); P=.904
Secondary: ORR
 Continuous, 15.0%
 Intermittent, 11.0%
 Paclitaxel, 38.0%
Antibody-drug conjugate plus antiangiogenic agent
FORWARD II (40)
Phase 1b
Mirvetuximab soravtansine + bevacizumab (N=94)FRα-positive platinum-resistant epithelial ovarian, fallopian tube, or primary peritoneal cancer
≥1 prior line
Primary: ORR
 44% (95% CI, 33–54); 5 CR, 36 PR
Secondary: DOR and PFS
 mDOR=9.7 months (95% CI, 6.9–14.1)
 mPFS=8.2 months (95% CI, 6.8–10.0)

Recent clinical trials using combination therapy approaches in pretreated patients with platinum-resistant ovarian cancer.

a

Platinum-resistance was defined in this trial as disease recurrence within 12 months of platinum-based chemotherapy.

b

Platinum-resistance was defined in this trial as disease recurrence within 3 months of first-line platinum-based chemotherapy.

BRCA, BReast CAncer gene; CR, complete response; DOR, duration of response; FRα, folate receptor alpha; GOG, Gynecologic Oncology Group; HR, hazard ratio; HRD, homologous recombination deficiency; HRR, homologous recombination repair; IA, investigator assessed; ICR, independent central review; IV, intravenous; mDOR, median duration of response; mOS, median overall survival; mPFS, median progression-free survival; ORR, objective response rate; OS, overall survival; PARPi, poly (adenosine diphosphate-ribose) polymerase inhibitor; PD-1, programmed cell death 1 protein; PD-L1, programmed cell death ligand 1; PDGFRα, platelet derived growth factor alpha; PFS, progression-free survival; PLD, pegylated liposomal doxorubicin; PR, partial response; TP53, tumor protein 53.

Antiangiogenic strategies have been pivotal in treating ovarian cancer, and combination therapies show promising results (3). TRIAS, a phase 2 clinical trial that evaluated a sequential combination of sorafenib—a non-selective oral multi-kinase inhibitor of VEGF—with topotecan, was the first to significantly improve OS in patients with PROC or platinum-refractory ovarian cancer (ie, cancer that progressed during platinum therapy) (30). PFS also significantly improved (30). In the open-label, phase 2b CONCERTO trial, the combination of olaparib and cediranib—an antiangiogenic targeting VEGF—demonstrated modest efficacy (ORR, 15.3%; mPFS, 5.1 months; mOS, 13.2 months) in heavily treated patients (all ≥3 prior lines of therapy) with non-germline-BRCA1/2-mutated PROC (38). However, this combination failed to demonstrate superior PFS vs standard-of-care paclitaxel in the open-label, phase 2 BAROCCO trial in a less heavily treated (60%, ≥3 prior lines of therapy) PROC population, of whom 12% had a BRCA mutation (39).

Immunotherapeutic approaches may hold promise in ovarian cancer; however, combination strategies using immune checkpoint inhibitors have yielded modest results to date (3). In the open-label, phase 2 NRG GY003 trial, patients with recurrent or persistent ovarian cancer (PFI <12 months and PROC) who received a 4-dose induction of combination nivolumab/ipilimumab followed by nivolumab exhibited a significantly higher objective response than those receiving nivolumab alone (31.4% vs 12.2% [odds ratio, 3.28; 85% CI, 1.54–infinity; P=.034]); however, mPFS remained low with and without nivolumab/ipilimumab induction (3.9 vs 2.0 months [HR, 0.53; 95% CI, 0.34–0.82; P=.0041]) (36). Despite the short induction, combination nivolumab/ipilimumab treatment yielded more grade ≥3 treatment-related adverse events (TRAEs), including increased pancreatic/liver enzymes, anemia, and colitis or diarrhea (36). The open-label, phase 1/2 TOPACIO/KEYNOTE-162 trial enrolled patients with recurrent PROC (n=30; 48%) or those deemed ineligible for platinum-based therapy (37). The immune checkpoint inhibitor/PARPi combination of pembrolizumab/niraparib demonstrated efficacy across all study populations (ORR overall, 18%; ORR PROC, 21%), irrespective of BRCA or HRD status, prior bevacizumab, or tumor mutational burden (37). Several chemotherapy/immunotherapy combinations are currently under investigation, in addition to trials combining anti-PD-1/PD-L1, antiangiogenic therapy, and DNA-damaging agents (3, 41). The phase 2 OPAL trial investigating dostarlimab/bevacizumab/niraparib combination has shown clinical activity in patients with PROC, most of whom had BRCA wild-type or HRD test negative tumors (42). The phase 2 MOONSTONE/GOG-3032 trial of niraparib plus dostarlimab did not reach the threshold for second-stage accrual at interim analysis due to a low ORR (29.3%) (43). The phase 2 CAPRI trial showed that olaparib plus ceralasertib yielded no objective responses (ie, complete or partial), but showed improved survival outcomes in a subgroup of patients with BRCA mutations (44).

Lastly, the phase 1b FORWARD II trial investigated the combination of the ADC mirvetuximab soravtansine with bevacizumab and found encouraging efficacy (ORR, 44% [95% CI, 33–54]), comparable to standard of care (40).

Of note, baseline clinical characteristics such as number of prior lines of chemotherapy, prior treatment regimens (eg, bevacizumab), histologic subtype, and mutational status are important to consider when interpreting efficacy outcomes in PROC. Therefore, much of this information has been described in Tables 1-3, which report outcomes in relevant clinical trials in PROC.

4 New approaches to drug development

Addressing the unmet need in PROC requires thoughtful clinical trial designs and novel effective agents. Recent cancer drug approvals emphasize incorporating molecular phenotypes into clinical trial designs to better define patient and tumor characteristics that may benefit from the study drug. The era of precision medicine has witnessed tumor-agnostic approvals, based on expression of a common biomarker rather than simply the tumor type (defined by primary site of origin) (45). In 2017, the FDA approved pembrolizumab for unresectable/metastatic solid tumors progressing after prior treatment in adult and pediatric patients based on microsatellite instability-high status or mismatch repair deficiency (dMMR), irrespective of tumor type (46). In 2020, pembrolizumab received approval to treat adult and pediatric patients with unresectable/metastatic tumor mutational burden-high solid tumors (excluding central nervous system cancers) and progression after prior therapy (46). Similarly, larotrectinib and entrectinib, 2 selective inhibitors of tropomyosin receptor kinases, received approval for treating unresectable/metastatic solid tumors with a neurotrophic tyrosine receptor kinase gene fusion in adult and pediatric patients, regardless of tumor origin (47, 48). Additional recent tumor-agnostic approvals include dabrafenib plus trametinib (based on BRAF V600E or V600K mutations) and dostarlimab (based on dMMR) (4951).

Unfortunately, high-grade serous ovarian cancers are not commonly associated with specific driver mutations, but rather by chromosomal instability and copy number alterations (52). Considering histology in this cancer type, while recognizing that some patients (eg, those with high FRα expression) may benefit from targeted treatment, is necessary (45). Tumor-agnostic indications may be most appropriate for drugs with high response rates and for rare tumors (45). As our understanding of ovarian cancer evolves, we must include biomarkers, companion diagnostics, and molecular profiling in clinical trial designs.

Further, umbrella and basket protocol designs can compare different novel regimens or incorporate different patient populations within 1 trial. Notably, in the investigator-initiated, phase 2 AMBITION trial in PROC, patients with HRD test positive tumors were randomized to combination olaparib/cediranib or olaparib/durvalumab, while those with HRD test negative tumors were randomized by PD-L1 expression to durvalumab/chemotherapy, durvalumab/tremelimumab at 75 mg/chemotherapy, or durvalumab/tremelimumab at 300 mg/chemotherapy (53). Additionally, the open-label, phase 2 BOUQUET trial is an ongoing biomarker-driven trial evaluating multiple biomarker-based therapies in patients with persistent or recurrent rare epithelial ovarian tumors, including but not limited to low-grade serous ovarian carcinoma, clear cell carcinoma, mucinous carcinoma, and carcinosarcoma (54). Data from this trial may inform biomarker-driven patient stratification and treatment selection.

Finally, clinical trials in the PROC setting may have limited generalizability to real-world patient populations due to eligibility criteria that restrict enrollment to moderately pretreated individuals with potentially fewer comorbidities. Additionally, some trials lack an appropriately diverse patient population, limiting our ability to understand clinical benefit across certain racial and ethnic groups. There are active initiatives to address these shortcomings by both ensuring diversity in enrollment while simultaneously mandating more practical inclusion and exclusion criteria in PROC trials.

5 Accelerated approvals, benefits, and pitfalls

The FDA’s accelerated approval program (and analogous non-US programs) can expedite approvals of drugs that address unmet needs for serious or life-threatening conditions (55). Accelerated approval can be based on a surrogate or intermediate clinical endpoint “reasonably likely to predict clinical benefit,” providing earlier evaluation of clinical benefit based on well-controlled phase 2 studies (55). Although OS is the most objective benchmark for demonstrating clinical benefit in oncology clinical trials, it requires a larger sample size and longer follow-up compared with more rapidly assessed endpoints (eg, time to tumor progression and PFS) (56). Since ORR can be assessed using a single-arm trial, it is the most common surrogate endpoint for accelerated approvals (57). Duration of response (DOR) is also occasionally used to support ORR (57). The gold standard for endpoints in PROC randomized trials remains OS, but when OS is confounded by long post-progression survival (>18 months) and crossover (common in trial participants), PFS is the preferred endpoint. Open-label studies where PFS is a key endpoint should utilize placebo controls and blinded independent central review to objectify clinical activity.

Several treatments for ovarian cancer have benefitted from accelerated approval (58). PLD’s accelerated approval occurred in 1999 based on 3 phase 2 studies, with confirmation from a randomized phase 3 trial (58, 59). However, some accelerated approvals in oncology do not demonstrate clinical benefit in confirmatory studies (57). Notably, bevacizumab received accelerated approval for metastatic breast cancer in 2008 based on improved PFS in an open-label, phase 3 clinical trial (60, 61). Subsequent placebo-controlled, double-blind confirmatory trials failed to confirm that the magnitude of the effect on PFS constituted a clinical benefit and showed more TRAEs compared to chemotherapy, which led to a revoked approval for this indication (62).

In ovarian cancer, the voluntary withdrawals of rucaparib, olaparib, and niraparib for recurrent, late-line treatment demonstrate the vulnerabilities of accelerated approval (6365). These withdrawals stemmed from non-hypothesis-tested subset analyses, which suggested a detrimental effect on OS with PARPi exposure when compared to chemotherapy.

Although post-approval studies typically take years to complete (median [range], 3.4 years [0.5–12.6]), as of November 2022, only 21 indications (for 16 different drugs) with accelerated approvals have been withdrawn, while 88 were verified in confirmatory studies (57, 66, 67). While accelerated approvals usually endure, choosing appropriate surrogate endpoints and designing proper single-arm trials that can predict meaningful treatment effects remain challenging.

6 Moving away from “platinum-resistant ovarian cancer”

Over the past decade, the definition of “platinum resistant” has shifted from utilizing only the historical definition of disease recurrence <6 months after the completion of last platinum-based chemotherapy (2, 68). In clinical trials and practice, PFI-based classification has been accepted for predicting chemotherapy response, disease prognosis, and patient selection and stratification (68). However, platinum response is neither binary, nor accurately represented by an arbitrary cutoff based solely on the time of diagnosis of recurrence (68, 69). Further, evidence suggests that PFI may not be optimal for predicting clinical response in all cases. Previous trials such as AURELIA have shown clinical benefit independent of PFI (7). Thus, a PFI of <6 months may not equate with resistance to platinum agents. A recent meta-analysis reported a 36% response rate to platinum-based regimens vs a 16% response rate to non-platinum-based regimens in a PROC population (70). Therefore, platinum rechallenge remains a viable option for some historically defined patients with PROC. Although the term “PROC” has evolved in clinical practice, it is still useful for regulatory approval due to previously discussed uncertainties, where platinum retreatment may not be the best option.

Several factors can affect time to relapse and platinum sensitivity. Variable timing and application of tools to detect recurrence (eg, cancer antigen-125, computed tomography scan, positron emission tomography scan) can skew the time to relapse and impact historical “platinum sensitive” vs “platinum resistant” designations (68, 69). Further, the tumor’s molecular profile can influence response. Patients with BRCA1/2-mutated recurrent ovarian cancer may respond to platinum-based and other chemotherapy agents that induce direct DNA damage (69, 71, 72). In ovarian cancer, the type, number, and outcome of prior therapies are important considerations when assessing potential response to further treatments (68). However, it is unclear what impact maintenance therapy with targeted and biological agents may have on subsequent treatment response (68). Other influential factors include histological subtype, prior surgical interventions, symptoms at recurrence, and the molecular profile beyond BRCA (eg, HRD status) (68, 69).

These factors have been incorporated in a new proposed classification system for patients with recurrent ovarian cancer and in the Gynecologic Cancer InterGroup (GCIG) consensus recommendations for recurrent ovarian cancer clinical trials (68, 69). The GCIG recommends TFI replaces PFI, with specific reporting of the TFI from last platinum dose (TFIp) and the specific method used to diagnose recurrence (68). Additionally, the GCIG recommends recording the TFI from last non-platinum therapy (TFInp) and last biological agent (TFIb), where applicable (68). The GCIG also notes that biomarkers will likely play a more predictive role than TFIp regarding treatment response (68).

Historically, developing new PROC regimens without reliable and established biomarkers for treatment response has been challenging. The recent validation of FRα as a predictive biomarker for the ADC mirvetuximab soravtansine heralds a new strategy for drug development where tumor surface antigens may be identified, quantified, and targeted. For trials targeting immune mechanisms, biomarkers such as tumor-infiltrating lymphocytes and tumor mutational burden (a tumor’s total number of somatic coding mutations) may guide which patients may respond to immunotherapy (3); however, these biomarkers have not been validated.

Including biomarkers in future clinical trials will help establish their relevance in ovarian cancer and their relationship to efficacy endpoints, including DOR. This will help identify measures to inform patient response beyond the 6-month PFI cutoff.

7 Future perspectives

Developing effective therapies for patients with PROC is complex and necessitates consideration of tumor and patient heterogeneity. Ongoing and recently completed clinical trials feature novel agents, which utilize combination treatments and targeted, biomarker-based therapies (Table 4).

Table 4

Therapy 1Therapy 2Therapies Under Investigation
NCT NumberPhaseInterventionsEst. Primary Completion Date
ChemotherapyAntiangiogenic agentsBevacizumabNCT05310344Phase 2, single group, open labelAlbumin-bound paclitaxel + bevacizumabMarch 2023
NCT02312245Phase 2, randomized, parallel, open labelAvatar-directed chemotherapy (gemcitabine) or avatar-directed chemotherapy (topotecan/PLD/paclitaxel) + bevacizumabJuly 2023
NCT04670978Phase 2, single group, open labelAlbumin-bound paclitaxel + bevacizumab biosimilarDecember 2023
NCT04753216Phase 2, single group, open labelIrinotecan liposome + bevacizumabJuly 2023
NCT03632798
(ACSCO)
Phase 3, randomized, parallelChemoID (drug response assay) cancer stem cell assay-guided chemotherapy + bevacizumab vs standard-of-care, IC chemotherapy + bevacizumabJuly 2022
Ofranergene obadenovec (ofra-vec; VB-111)NCT03398655Phase 3, randomized, parallelOfranergene obadenovec (ofra-vec; VB-111 [adenoviral-based antiangiogenic]) + paclitaxel vs placebo + paclitaxelDecember 2022
ChiauranibNCT04921527Phase 3, randomized, parallelChiauranib (targets against VEGFR, Aurora B, and CSF-1R) + paclitaxel vs placebo + paclitaxelJuly 2023
ApatinibNCT04348032
(APPROVE)
Phase 2, randomized, parallel, open labelApatinib (VEGFR-2 inhibitor) + PLD vs PLDJanuary 2021 (actual)
BD0801NCT04908787Phase 3, randomized, parallelBD0801 (VEGFR inhibitor) + chemotherapy (paclitaxel/topotecan/PLD) vs placebo + chemotherapyDecember 2023
ChemotherapyImmunotherapy agentsPembrolizumabNCT02440425Phase 2, single group, open labelPaclitaxel + pembrolizumabApril 2020 (actual)
NCT02901899Phase 2, single group, open labelGuadecitabine (decitabine prodrug) + pembrolizumabApril 2020 (actual)
NCT02865811Phase 2, single group, open labelPembrolizumab + PLDAugust 2020 (actual)
DurvalumabNCT03699449 (AMBITION)Phase 2, randomized, parallelDurvalumab + chemotherapy (1 arm)September 2022
ChemotherapyPARPiNiraparibNCT04217798Phase 2, single group, open labelNiraparib + oral etoposideMarch 2022
ChemotherapyAgents targeting DNA repairBerzosertibNCT02595892Phase 2, randomized, open labelM6620 (berzosertib; ATR inhibitor) + gemcitabine vs gemcitabineJune 2020 (actual)
AdavosertibNCT02101775Phase 2, randomized, parallelGemcitabine +/- adavosertib (WEE1 inhibitor)February 2022 (actual)
ChemotherapyAgents targeting AKT/ERKAfuresertib (ONC201)NCT04374630Phase 2, randomized, parallelAfuresertib (AKT inhibitor) + paclitaxel vs paclitaxelJuly 2022
NCT04055649Phase 2, single group, open labelAKT/ERK inhibitor ONC201 + paclitaxelApril 2023
ChemotherapyOther agentsBatiraxcept
(AVB-S6-500)
NCT04729608
(AXLerate-OC)
Phase 3, randomized, parallelBatiraxcept (AVB-S6-500 [AXL inhibitor]) + paclitaxel vs paclitaxel + placeboJuly 2023
RelacorilantNCT03776812Phase 2, randomized, parallelRelacorilant (selective glucocorticoid receptor modulator) + nab-paclitaxel vs nab-paclitaxelMarch 2023
Intraoperative hyperthermic intraperitoneal chemotherapy (HIPEC)NCT05316181Phase 3, randomized, open labelHIPEC + doxorubicin + mitomycin vs IC chemotherapyDecember 2024
DecitabineNCT03467178Phase 2, randomized, parallel, open labelDecitabine + carboplatin vs chemotherapyDecember 2021
ImmunotherapyAntiangiogenic agentsBevacizumabNCT05116189
(MK-3475-B96/KEYNOTE-B96/ENGOT-ov65)
Phase 3, randomized, parallelPembrolizumab + paclitaxel ± bevacizumab vs placebo + paclitaxel ± bevacizumab (docetaxel may be used if patient is paclitaxel intolerant)June 2025
AnlotinibNCT05145218Phase 3, open label, parallelAnlotinib (VEGFR inhibitor) + TQB2450 (anti-PD-1) vs paclitaxelOctober 2024
ApatinibNCT04068974Phase 2, single groupCamrelizumab (anti-PD-1) + apatinib (VEGFR-2 inhibitor)June 2021
ImmunotherapyImmunotherapyDurvalumab + 
tremelimumab
NCT03026062Phase 2, randomized, parallelDurvalumab + tremelimumab (sequential) vs durvalumab + tremelimumab (combination)December 2023
Nemvaleukin + pembrolizumabNCT05092360Phase 3, randomized, parallelNemvaleukin (engineered IL-2) + pembrolizumab vs pembrolizumab vs nemvaleukinDecember 2025
Etigilimab + nivolumabNCT05026606Phase 2, single group, open labelEtigilimab (anti-TIGIT) + nivolumabMay 2023
Pembrolizumab + P53MVANCT03113487Phase 2, single group, open labelPembrolizumab + P53MVA (modified vaccinia virus Ankara vaccine expressing p53)December 2023
Batiraxcept (AVB-S6-500) + durvalumabNCT04019288Phase 1/2, randomized, parallel, open labelBatiraxcept (AVB-S6-500 [AXL inhibitor]) + durvalumabSeptember 2022
PARPiAntiangiogenic agentsCediranibNCT02502266Phase 2/3, randomized, parallelCediranib (VEGFR inhibitor) + olaparib vs cediranib vs olaparibJune 2023
NCT03117933
(OCTOVA)
Phase 2, randomized, parallelCediranib + olaparibMarch 2021 (actual)
AnlotinibNCT05130515
(CC-ANNIE)
Phase 2, single groupNiraparib + anlotinib (VEGFR-2 inhibitor)June 2023
NCT04376073
(ANNIE)
Phase 2, single groupNiraparib + anlotinib (VEGFR-2 inhibitor)December 2021
BevacizumabNCT05170594Phase 2, open labelBevacizumab + fluzoparib (PARPi) vs bevacizumab + chemotherapy vs fluzoparibJune 2024
NCT04556071Phase 2, single group, open labelNiraparib + bevacizumabMarch 2022
PARPiOtherAzenosertib (ZN-c3)NCT05198804Phase 1/2, single group, open labelAzenosertib (ZN-c3 [WEE1 inhibitor]) + niraparibNovember 2023
Cediranib or durvalumabNCT03699449 (AMBITION)Phase 2, randomized, parallelOlaparib + cediranib vs durvalumab + olaparib vs durvalumab + chemotherapySeptember 2022
AlpelisibNCT04729387Phase 3, randomized, parallelAlpelisib (PI3K inhibitor) + olaparib vs paclitaxel or PLDJune 2023
CopanlisibNCT05295589Phase 2, randomized, parallel, open labelOlaparib + copanlisib (PI3K inhibitor) vs chemotherapy (PLD/paclitaxel/topotecan)July 2024
Arsenic trioxideNCT04518501Phase 1/2, sequential, open labelFuzuloparib (PARPi) + arsenic trioxideJanuary 2024
Antibody-drug conjugatesOtherDurvalumab + BA3011NCT04918186Phase 2, open labelDurvalumab + BA3011 (AXL-targeted ADC) vs durvalumab + BA3021 (ROR2-targeted ADC)June 2024
Upifitamab rilsodotinNCT03319628Phase 1/2, parallelUpifitamab rilsodotin (NaPi2b-targeted ADC)April 2023
Anetumab ravtansine + bevacizumabNCT03587311Phase 2, randomized, open labelAnetumab ravtansine (mesothelin-targeted ADC) + bevacizumabOctober 2022
Mirvetuximab soravtansineNCT04296890Phase 3, single group, open labelMirvetuximab soravtansine (FRα-targeted ADC)November 2021 (actual)
Mirvetuximab soravtansineNCT04209855Phase 3, randomized, parallel, open labelMirvetuximab soravtansine (FRα-targeted ADC) vs chemotherapyDecember 2022
Nano-drug conjugatesAntiangiogenic agentEP0057NCT04669002Phase 2a/b, randomized in 2bEP0057 (camptothecin nanoparticle-drug conjugate) + olaparib vs chemotherapyNovember 2022
Bispecific antibodyNavicixizumabNCT05043402Phase 3, randomized, open labelNavicixizumab (bispecific mAb targeting VEGFR and delta-like ligand 4)November 2023
OtherOtherNCT04720807Phase 2, single group, open labelLetrozole (aromatase inhibitor) + anlotinib (VEGFR inhibitor)August 2022
NCT05043402Phase 3, randomized, open labelNavicixizumab (bispecific mAb targeting VEGFR and delta-like ligand 4) + paclitaxel vs paclitaxelNovember 2023
NCT04851834Phase 1/2, non-randomized, open labelNTX-301 (hypomethylating agent) vs NTX-301 + platinum-based chemotherapy vs NTX-301 + temozolomideAugust 2023
NCT03949283Phase 3, randomized, parallelChemoID (drug response assay) cancer stem cell assay-guided chemotherapy vs chemotherapyJune 2024
NCT05272462Phase 2, single group, open labelMinoxidil (anti-hypertensive agent)December 2023
NCT02364713Phase 2, randomized, parallel, open labelBevacizumab + chemotherapy vs MVNIS (oncolytic measles virus encoding thyroidal sodium iodide symporter)March 2027
Triplet combinationsNCT04361370
(OPEB-01)
Phase 2, single groupOlaparib + pembrolizumab + bevacizumabMay 2026
NCT03699449
(AMBITION)
Phase 2, randomized, parallelOlaparib + cediranib vs durvalumab + olaparib vs durvalumab + chemotherapy vs durvalumab + tremelimumab + chemotherapySeptember 2022
NCT03363867
(BEACON)
Phase 2, single group, open labelAtezolizumab + bevacizumab + cobimetinib (MEK inhibitor)July 2022
NCT04739800Phase 2, randomized, parallel, open labelDurvalumab + olaparib + cediranib vs olaparib + cediranib or cediranib + durvalumab vs standard-of-care chemotherapy (paclitaxel/PLD/topotecan)December 2023
NCT03206047Phase 1/2, randomized, parallel, open labelAtezolizumab + guadecitabine + DEC-205/NY-ESO-1 fusion protein CDX-1401 vs atezolizumab + guadecitabine vs atezolizumabMarch 2023
NCT02839707Phase 2/3, randomized, parallel, open labelPLD + atezolizumab and/or bevacizumabJune 2023
NCT02659384Phase 2, randomized, parallelBevacizumab vs bevacizumab + atezolizumab vs bevacizumab + atezolizumab + acetylsalicylic acidFebruary 2021
NCT02923739Phase 2, randomized, parallel, open labelPaclitaxel + bevacizumab ± emactuzumab (anti-CSF-1R)May 2025
NCT04781088Phase 2, single group, open labelLenvatinib (VEGFR inhibitor) + paclitaxel + pembrolizumabDecember 2024

Ongoing and recently completed phase 2/3 trials in platinum-resistant ovarian cancer.

ADC, antibody-drug conjugate; CSF-1R, colony stimulating factor-1 receptor; FRα, folate receptor alpha; IC, investigator’s choice; IL-2, interleukin 2; mAb, monoclonal antibody; MEK, mitogen-activated protein kinase; NaPi2b, sodium-dependent phosphate transporter; PARPi, poly(adenosine diphosphate-ribose) polymerase inhibitor; PD-1, programmed cell death 1 protein; PLD, pegylated liposomal doxorubicin; VEGFR, vascular endothelial growth receptor.

Since ADCs have succeeded in treating other cancers, the use of this novel approach of targeting cytotoxic payloads to tumor cells is also being evaluated in PROC (73).

To date, the only ADC that has been evaluated for PROC in a pivotal trial is mirvetuximab soravtansine, an ADC that targets FRα, which is minimally expressed on normal tissues but overexpressed in >80% of epithelial ovarian tumors (7375). In the open-label, phase 3 FORWARD I trial, mirvetuximab soravtansine did not meet its primary endpoint of PFS, but both ORR and OS favored mirvetuximab soravtansine over chemotherapy (ORR, 24% vs 10% [P=.014]; OS, 17.3 vs 12.0 months [HR, 0.71; 95% CI, 0.49–1.02; [P=.063]) in a subgroup of patients with high FRα expression, although these endpoints were not statistically significant (17). Importantly, mirvetuximab soravtansine displayed improved tolerability compared to chemotherapy; grade ≥3 TRAEs (25.1% vs 44.0%), dose reductions (19.8% vs 30.3%), and discontinuations (4.5% vs 8.3%) occurred more frequently in the chemotherapy group (17). In the pivotal, single-arm SORAYA trial of patients with FRα-high PROC, mirvetuximab soravtansine demonstrated an ORR of 32.4% (median DOR [mDOR], 6.9 months), with clinical benefit maintained across prespecified subgroups, including patients with 3 prior therapy lines (ORR, 30.2%; mDOR, 7.4 months) and with prior PARPi exposure (ORR, 38.0%; mDOR, 5.7 months) (76). The confirmatory, randomized, phase 3 MIRASOL trial evaluated the efficacy and safety profile of single-agent mirvetuximab soravtansine vs single-agent chemotherapy (77). Compared with chemotherapy, mirvetuximab soravtansine showed statistically significant improvements in investigator-assessed PFS (mPFS, 5.6 vs 4.0 months [HR, 0.65; 95% CI, 0.52–0.81; [P<.0001]), investigator-assessed ORR (42.3% vs 15.9% [odds ratio, 3.81; 95% CI, 2.44–5.94; [P<.0001]), and OS (mOS, 16.5 vs 12.8 months [HR, 0.67; 95% CI, 0.50–0.89; [P=.0046]) (18, 19). No new safety signals occurred with mirvetuximab soravtansine and improved tolerability with mirvetuximab soravtansine vs chemotherapy was demonstrated by comparatively fewer grade ≥3 treatment-emergent adverse events ([TEAEs] 42% vs 54%), serious adverse events (24% vs 33%), and TEAEs leading to discontinuation (9% vs 16%) (18, 19).

Additional ADCs targeting other proteins are being evaluated in earlier-stage clinical trials in PROC, including mesothelin (anetumab ravtansine), sodium-dependent phosphate transporter (NaPi2b; upifitamab rilsodotin), dipeptidase 3/DPEP3 (tamrintamab pamozirine), mucin 16/MUC16 (sofituzumab vedotin), tissue factor (tisotumab vedotin, recently approved for recurrent/metastatic cervical cancer), and Trop-2 (SKB264, datopotamab deruxtecan, sacituzumab govitecan) (73, 7880).

Given the heterogeneity of PROC, combination therapies may improve clinical outcomes. Chemotherapy is being explored in combination with antiangiogenics, immune checkpoint inhibitors, PARPi, agents targeting DNA damage repair, agents targeting AXL and AKT/ERK, and a glucocorticoid receptor modulator (Table 4). Non-chemotherapeutic immunotherapy regimens being investigated include existing and novel immune checkpoint inhibitors combined with antiangiogenics, an engineered IL-2, an anti-TIGIT monoclonal antibody, and a p53 vaccine. PARPi are being studied in non-chemotherapeutic combinations with antiangiogenics and inhibitors of PI3K and WEE1. Triplet combinations utilizing various agents, including PARPi, anti-PD-1/PD-L1, and antiangiogenics, are underway. Other ongoing and recently completed phase 2 and 3 trials are summarized in Table 4.

These novel PROC treatments may improve response rates and prolong PFS for patients with few options. However, improving the treatment paradigm will require overcoming several obstacles. Disease heterogeneity is a major challenge that may have influenced prior trial failure (41). Identifying a well-defined homogeneous population will be critical to ensure impactful trial outcomes. Increased testing for biomarkers such as tumor mutational burden and dMMR, particularly in mucinous, clear cell, and endometrioid histologies, is encouraged, as is participation in appropriate clinical trials (81). Another challenge in PROC is the frailty of patients—due to age, comorbidities, and/or toxicity from multiple rounds of prior therapy—who are frequently recruited for trials and often have rapidly progressive disease (68). In 1 study, 30%–50% of patients discontinued due to progressive disease before receiving sufficient doses of therapy, and therefore had no chance of clinical benefit (15). Focusing on more specific populations may improve outcomes by excluding patients unlikely to be positively impacted.

8 Conclusion

Addressing the unmet need for effective therapies in heavily pretreated PROC is an ongoing challenge. As research elucidates the molecular mechanisms of ovarian cancer progression, new insights will provide guidance on developing novel targeted therapies.

Statements

Author contributions

RE: Writing – review and editing, conceptualization. KM: Writing – review and editing, conceptualization. BM: Writing – review and editing, conceptualization. TH: Writing – review and editing, conceptualization. CA: Writing – review and editing, conceptualization. DO: Writing – review and editing, conceptualization. RC: Writing – review and editing, conceptualization.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This narrative review article was funded by ImmunoGen, Inc., who also contributed to the conception of the work.

Acknowledgments

Medical writing and editorial support were provided by PRECISIONscientia, of Yardley, PA, USA and funded by ImmunoGen, Inc.

Conflict of interest

RE reports receiving institution research support from AstraZeneca, Clovis Oncology, Eisai, Merck, and Novocure; and consulting and advisory fees from AstraZeneca; Cardiff Oncology; Clovis Oncology; Eisai; Elevar; Genentech/Roche; GSK/Tesaro; ImmunoGen, Inc; Merck; Mersana; and Myriad. KM reports advisory board participation for Addi; Alkermes; Aravive, Inc; AstraZeneca; Blueprint Pharma; Caris; Celsion Corporation; Clovis; Eisai Co, Ltd; Eli Lilly and Company; EMD Serono; Genentech, Inc/Roche; GlaxoSmithKline plc/Tesaro; I-MAB Biopharma Co, Ltd; ImmunoGen, Inc; InxMed Co, Ltd; Jiangsu Hengrui Pharmaceuticals Company Ltd; Merck & Co, Inc; Mereo Biopharma Group plc; Mersana Therapeutics, Inc; Myriad Genetics, Inc; Novartis Pharmaceuticals Corporation; Novocure GmbH; Onconova Therapeutics, Inc; OncXerna Therapeutics, Inc; Tarveda Therapeutics; VBL Therapeutics; and Verastem, Inc; research funding from Eli Lilly and Company; GlaxoSmithKline plc/Tesaro; Merck & Co, Inc; PTC Therapeutics; and Verastem, Inc; and employment by GOG Partners, NRG Ovarian Cancer Committee Chair, and employment by The GOG Foundation Inc uncompensated. BM reports receiving speaker and/or consultant fees from Acrivon; Adaptimmune; Amgen; Aravive; AstraZeneca; Bayer; Clovis; Eisai; Elevar; Genmab/Seagen; the GOG Foundation; Gradalis; Heng Rui; ImmunoGen, Inc; Laekna; MacroGenics; Merck; Mersana; Myriad; Novartis; Novocure; OncoC4; Panavance; Pieris; Pfizer; Roche/Genentech; Sorrento; TESARO/GSK; VBL; Verastem; and Zentalis; and consultant and/or investigator fees from US Oncology Research. TH reports advisory board participation for AstraZeneca; Caris; Clovis; Eisai Co, Ltd; Epsilogen Ltd; Genentech, Inc; GlaxoSmithKline plc; Johnson & Johnson; Merck & Co, Inc; Mersana Therapeutics, Inc; and Seagen Inc. CA reports nothing to disclose. DO reports receiving institutional funds from AbbVie; Advaxis; Agenus, Inc; Alkermes; Aravive, Inc; Arcus Biosciences, Inc; AstraZeneca; BeiGene USA, Inc; Boston Biomedical; Bristol Myers Squibb; Clovis Oncology; Deciphera Pharma; Eisai; EMD Serono, Inc; Exelixis; Genentech, Inc; Genmab; GlaxoSmithKline; GOG Foundation; Hoffmann-La Roche, Inc; ImmunoGen, Inc; Incyte Corporation; IOVANCE Biotherapeutics; Karyopharm; Leap Therapeutics, Inc; Ludwig Institute for Ca; Merck & Co, Inc; Merck Sharp & Dohme Corp; Mersana Therapeutics, Inc; NCI; Novartis; Novocure; NRG Oncology; OncoC4, Inc; OncoQuest, Inc; Pfizer, Inc; Precision Therapeutics, Inc; Prelude Therapeutics; Regeneron Pharmaceuticals, Inc; RTOG; Rubius Therapeutics; Seattle Genetics Seagen; Sutro Biopharma; SWOG; TESARO; and Verastem, Inc; and consultant and/or advisory board personal fees from AbbVie; Adaptimmune; Agenus, Inc; Arquer Diagnostics; Arcus Biosciences, Inc; AstraZeneca; Atossa Therapeutics; Boston Biomedical; Cardiff Oncology; Celcuity; Clovis Oncology; Corcept Therapeutics; Duality Bio; Eisai; Elevar; Exelixis; Genentech, Inc; Genelux; GlaxoSmithKline; GOG Foundation; Hoffmann-La Roche, Inc; ImmunoGen, Inc; Imvax; InterVenn; INXMED; IOVANCE Biotherapeutics; Janssen; Jazz Pharmaceuticals; Laekna; Leap Therapeutics, Inc; Luzsana Biotechnology; Merck & Co, Inc; Merck Sharp & Dohme Corp; Mersana Therapeutics, Inc; Myriad; Novartis; Novocure; OncoC4, Inc; Onconova; Regeneron Pharmaceuticals, Inc; Replimmune; R-PHARM US, LLC; Roche Diagnostics; Seattle Genetics Seagen; Sorrento; Sutro Biopharma; Tarveda Therapeutics; Toray; Trillium; Umoja; Verastem, Inc; VBL Therapeutics; Vincerx Pharma; Xencor; and Zentalis. RC reports research funding from AbbVie Inc; AstraZeneca; Clovis; Genmab A/S; ImmunoGen, Inc; Merck & Co, Inc; Mersana Therapeutics, Inc; Roche/Genentech, Inc; and Toray; and scientific steering committee participation with AbbVie Inc; Agenus Inc; Aravive, Inc; AstraZeneca; Clovis; Deciphera Pharmaceuticals, Inc; Epsilogen Ltd; Genentech, Inc; Genmab A/S/Seagen Inc; GlaxoSmithKline plc; ImmunoGen, Inc; Karyopharm Therapeutics Inc; Merck & Co, Inc; Mirati Therapeutics, Inc; Novocure GmbH; OncXerna Therapeutics, Inc; and Toray.

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Summary

Keywords

bevacizumab, biomarker, folate receptor alpha, mirvetuximab soravtansine, platinum-resistant ovarian cancer, and targeted therapy

Citation

Eskander RN, Moore KN, Monk BJ, Herzog TJ, Annunziata CM, O’Malley DM and Coleman RL (2023) Overcoming the challenges of drug development in platinum-resistant ovarian cancer. Front. Oncol. 13:1258228. doi: 10.3389/fonc.2023.1258228

Received

13 July 2023

Accepted

11 August 2023

Published

17 October 2023

Volume

13 - 2023

Edited by

Fabio Martinelli, National Cancer Institute Foundation (IRCCS), Italy

Reviewed by

Sarah Taylor, University of Pittsburgh, United States; Maria Lee, Seoul National University Hospital, Republic of Korea

Updates

Copyright

*Correspondence: Ramez N. Eskander,

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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