Skip to main content
Therapeutic Advances in Medical Oncology logoLink to Therapeutic Advances in Medical Oncology
. 2025 Nov 24;17:17588359251387395. doi: 10.1177/17588359251387395

Genomics of uterine malignancies and the potential of precision medicine

Joseph Polidano 1,2, Andrew Jarratt 3,4, Clare L Scott 5,6,7,8, Holly E Barker 9,10,
PMCID: PMC12644444  PMID: 41306899

Abstract

Uterine malignancies represent a broad and heterogeneous group of neoplasms, which collectively account for the majority of gynaecological malignancies in developed countries. For a significant proportion of these, mortality rates and clinical outcomes are of major concern, owing to complex molecular profiles and aggressive phenotypes that are largely refractory to conventional therapeutic approaches. Recent advancements in precision medicine and the development of targeted therapies have been transformative for several common cancer types; however, the same benefits are yet to be realised for many uterine cancers. This review comprehensively details the diverse molecular features characterising the various subtypes of uterine malignancies. Furthermore, we have examined the therapeutic approaches actively investigated to target these unique molecular features, identifying pathways and treatments that offer the greatest potential patient benefit. Among increasingly personalised strategies, particular promise is shown by HER2-targeted therapies for HER2-positive malignancies (e.g. trastuzumab deruxtecan). Additionally, targeting TP53 wild-type tumours with selinexor, as well as addressing AKT and DNA repair pathways in both uterine carcinomas and sarcomas (i.e. AKT inhibitor and poly(ADP-ribose) polymerase inhibitor combinations), represents key advancements. Furthermore, anti-angiogenic and immune checkpoint inhibitor combinations hold significant promise for future therapeutic strategies.

Keywords: clinical trials, molecular testing, molecular therapeutics, precision oncology, targeted therapy, uterine cancer

Plain language summary

Investigating the potential of matching drugs to specific molecular changes in uterine cancers

Uterine malignancies represent a common and complex group of cancers affecting many individuals. Unfortunately, a significant proportion of these are very aggressive and challenging to treat with standard methods. Recent progress in matching treatments based on DNA and molecular changes in individual malignancies have been transformative for several common cancer types, however the same benefits are yet to be shown for many uterine malignancies. In this review, we explore new treatments that are currently being studied to specifically target these genetic and molecular features, highlighting the personalised approaches that show the most promise for patients.

Background of uterine malignancies

Pathological subtypes and incidence

Uterine malignancies collectively account for the majority of gynaecological cancers in developed countries (second to cervical cancers, when considered globally). 1

The uterus comprises three tissue layers: (i) the perimetrium (mucus layer protecting the outside of the uterus); (ii) the myometrium (muscular middle layer) and (iii) the endometrium (inner lining which is shed during menstruation). 2 The vast majority of uterine malignancies originate from the endometrium (approximately 95% of cases), arising from epithelial cells and are classified into four histological types: (i) endometrioid carcinomas (EC; 83%–86%), (ii) uterine serous carcinomas (USC; 4%–6%), (iii) uterine carcinosarcomas (UCS; 4%–7%) and (iv) clear cell endometrial carcinomas (CCEC; 1%–4%). 3 Malignant cells of origin from the myometrium have a mesenchymal derivation and are histologically classified as (i) uterine leiomyosarcoma (uLMS; 60%–80%), (ii) uterine adenosarcoma (UAS; 5%–9%), (iii) uterine stromal sarcoma (USS; previously low-grade USS; 6%–20%) and (iv) undifferentiated uterine sarcoma (UUS; previously high-grade USS; 5%), with the remaining 5% being made up of rarer subtypes such as uterine perivascular epithelioid cell tumour (PEComa).4,5 These uterine myometrial malignancies, collectively referred to as uterine sarcomas, are rare and account for just 3%–8% of all uterine malignancies.4,6

Survival rates

Patients with EC generally have a favourable prognosis, with a 5-year survival (5-YS) rate exceeding 90%, as the majority have usually not spread beyond the uterus. 3 Patients with the remaining, rarer types of uterine malignancies (USC, UCS and CCEC), unfortunately often face much poorer prognoses owing to aggressive and highly invasive phenotypes with numerous genetic aberrations. This, combined with late-stage diagnosis (~70% of non-EC endometrial cancers are FIGO Stage III/IV at diagnosis) and therapy resistance, results in 5-YS rates of only 18%–62% for non-EC endometrial carcinomas.1,7 Notably, confinement of endometrial carcinoma to the uterus is an important determinant for patient prognosis, as extrauterine invasion is associated with significantly poorer survival outcomes for all patients. For all types of endometrial cancer, the overall 5-YS rate falls to 70% (from 95%) with regional extrauterine invasion, with a 5-YS rate as low as 19% for metastatic disease. 8

Prognosis for uterine sarcomas is also dependent on histological subtype and grading, with the 5-YS for USS and UAS being 96% and 80%, respectively, whereas for UUS and uLMS, 5-YS is only 43% and 38%, respectively. 9 This is largely attributable to the poor differentiation and high grade of these types of uterine malignancies, which contribute to increased invasiveness and frequent late-stage diagnosis. As for carcinomas, 5-YS outcomes for sarcomas are generally worse when extrauterine invasion is involved. The 5-YS rate for all uterine sarcoma types (excluding USS) ranges between 60% and 70% where the malignancy is localised to the uterus, but falls to 37% where regional invasion has occurred, and 12%–18% for metastatic disease. 8

Current standard treatment strategies

Current first-line treatment for endometrial cancer, depending on the stage and subtype, includes surgery and radiotherapy, often with concurrent radio-sensitising platinum-based chemotherapy, which may be followed by carboplatin + paclitaxel chemotherapy, with or without anti-angiogenic therapy, immunotherapy (i.e. immune checkpoint inhibitors; ICI) or hormone therapy. 10 Surgery alone often suffices for well-differentiated and non-advanced endometrial carcinomas (most commonly the EC subtype), conferring excellent prognosis. 3 Aggressive subtypes and the presence of extrauterine disease require the addition of chemotherapy and/or radiation. 10 Hormone therapy, like megestrol acetate, may palliate advanced endometrial carcinomas, although likely benefiting individuals with EC only due to hormone receptor expression.3,7 First-line treatment for metastatic mismatch repair deficiency (MMRd)/microsatellite instability (MSI) endometrial cancer (common in EC and CCEC) now includes an ICI (pembrolizumab or dostarlimab) with carboplatin–paclitaxel, based on recent trials. 10 In the second-line setting (excluding prior ICI), pembrolizumab plus lenvatinib is approved, though some regions restrict this to mismatch repair proficient (MMRp)/microsatellite stable (MSS) due to distinct approvals for MMRd/MSI-H disease. 10 Specific trial results will be discussed in detail below and are summarised in Table 4.

Table 4.

Summary of clinical trials involving uterine malignancies and targeted therapies where clinical benefit has been observed.

Targeted drug(s) Clinical trial Details Molecular target/drug action Median PFS Median OS ORR Responses Reference
Immunotherapy
 Pembrolizumab NCT02549209
(phase II)
Pembrolizumab/carboplatin/taxol in endometrial cancer
(n = 43)
PD-1 10.6 months (95% CI, 8.3–13.9 months); 8.8 months vs NR for MMRp vs MMRd NA 74.4% (95% CI, 58.8%–86.5%); 88.9% vs 71.4% for MMRd vs MMRp 1/43 (2.3%) CR; 31/43 (72.1%) PR 73 (2022)
 Pembrolizumab NCT03914612
(phase III)
Pembrolizumab plus chemotherapy in advanced or recurrent endometrial cancer (NRG-GY018)
(n = 588)
PD-1 Overall population
Pacliataxel–carboplatin + placebo: 8.5 months
Pacliataxel–carboplatin + pembrolizumab: 18.8 months
MMRd population
Pacliataxel–carboplatin + placebo: 7.6 months (95% CI, 6.4–9.9 months)
Pacliataxel–carboplatin + pembrolizumab: NR (95% CI, 30.6 months–NR); HR: 0.30 (95% CI, 0.19–0.48)
MMRp population:
Pacliataxel–carboplatin + placebo: 8.7 months (95% CI, 8.4–10.7 months)
Pacliataxel–carboplatin + pembrolizumab: 13.1 months (95% CI, 10.5–18.8 months); HR: 0.54 (95% CI, 0.41–0.71)
NA NA NA 74 (2023)
 Dostarlimab NCT03981796
(phase III)
Dostarlimab plus carboplatin–paclitaxel versus placebo plus carboplatin–paclitaxel in participants with recurrent or primary advanced endometrial cancer (RUBY)
(n = 494)
PD-1 Overall population Placebo + carboplatin-paclitaxel (control): 33.2 months (95% CI, 27.1–39.5 months)
dostarlimab + carboplatin–paclitaxel: 48.7 months (95% CI, 41.9–55.3 months); HR: 0.66 (95% CI, 0.52–0.84)
MMRd-MSI-H population
Placebo + carboplatin-paclitaxel (control): 39.2 months (95% CI, 26.8–51.4 months)
dostarlimab + carboplatin–paclitaxel: 73.1 months (95% CI, 58.2–83.5 months); HR: 0.33 (95% CI, 0.18–0.63)
MMRp-MSS population
Placebo + carboplatin–paclitaxel (control): 31.2 months (95% CI, 24.3–38.4 months)
dostarlimab + carboplatin–paclitaxel: 42.0 months (95% CI, 34.4–49.4 months); HR: 0.74 (95% CI, 0.57–0.97)
Overall population Placebo + carboplatin-paclitaxel (control): 42.9 months (95% CI, 36.3–49.3 months)
dostarlimab + carboplatin–paclitaxel: 54.9 months (95% CI, 48.2–61.2 months); HR: 0.69 (95% CI, 0.54–0.89; p = 0.002)
MMRd-MSI-H population
Placebo + carboplatin-paclitaxel (control): 46.0 months (95% CI, 32.9–58.2 months)
dostarlimab + carboplatin–paclitaxel: 78.0 months (95% CI, 63.6–87.3 months); HR: 0.32 (95% CI, 0.17–0.63)
MMRp-MSS population
Placebo + carboplatin–paclitaxel (control): 41.9 months (95% CI, 34.3–49.4 months)
dostarlimab + carboplatin–paclitaxel: 48.6 months (95% CI, 41.0–55.7 months); HR: 0.79 (95% CI, 0.60–1.04; p = 0.0493)
NA NA 75 (2024)
 Pembrolizumab, lenvatinib NCT02501096 (KEYNOTE-146)
(phase Ib/II)
Lenvatinib in combination with pembrolizumab in confirmed metastatic selected solid tumour types with 0–2 prior lines of systemic therapy
(n = 108)
PD-1; VEGFR-1 Uterine: 7.4 months (95% CI, 5.2–8.7 months) Uterine: 17.7 months (95% CI, 15.5–25.8 months) Uterine: 39.8% (95% CI, 30.5%–49.7%) Uterine: 9/108 (8.3%) CR, 34/108 (31.5%) PR; 46/108 (42.6%) SD 76 (2023)
 Pembrolizumab, lenvatinib NCT03517449 (KEYNOTE-775)
(phase III)
Lenvatinib in combination with pembrolizumab compared to chemotherapy in Endometrial carcinoma excluding carcinosarcoma
(n = 411)
PD-1; VEGFR-1 Lenvatinib + pembrolizumab: 7.2 months;
chemo: 3.8 months (HR: 0.56; 95% CI, 0.47–0.66; p < 0.001)
Lenvatinib + pembrolizumab: 18.3 months;
chemo: 11.4 months (HR: 0.62; 95% CI, 0.51–0.75; p < 0.001)
Lenvatinib + pembrolizumab: 31.9% (95% CI 27.4%–36.6%);
chemo: 14.7% (95% CI, 11.4%–18.4%)
Lenvatinib + pembrolizumab: 27/411 (6.6%) CR, 104/411 (25.3%) PR; 193/411 (47.0%) SD
chemo: 11/416 (2.6%) CR; 50/416 (12.0%) PR; 167/416 (40.1%) SD
77 (2022)
DNA repair
 Niraparib, dostarlimab NCT03016338
(phase II)
Niraparib monotherapy or niraparib and dostarlimab in patients with recurrent serous or endometrioid endometrial carcinoma.
(n = 45)
PARP; PD-1 Niraparib: 2.5 months (95% CI, 1.8–3.7 months)
niraparib + dostarlimab: 2.4 months (95% CI, 1.6–3.7 months)
Niraparib: 12.5 months (95% CI, 6.6–19.3 months)
niraparib + dostarlimab:
NR (95% CI, 5.7 months–NR).
Niraparib: 4% (95% CI, 0%–20%)
niraparib + dostarlimab: 14% (95% CI, 3%–35%)
Niraparib: 1/23 (4%) PR
niraparib + dostarlimab: 3/22 (14%) PR
83 (2023)
 Olaparib, durvalumab NCT03951415
(phase II)
DOMEC: phase II study of durvalumab and olaparib in metastatic or recurrent endometrial cancer
(n = 50)
PARP;
PD-L1
3.4 months (95% CI, 2.8–6.2 months) 8.0 months (95% CI, 7.5–14.3 months) 16% (95% CI, 8.3%–28.5%) 1/50 (2%) CR; 7/50 (14%) PR; 19/50 (38%) SD 84 (2022)
 Rucaparib, bevacizumab, atezolizumab NCT03694262
(phase II)
EndoBARR: phase II study of the efficacy and safety of the combination of rucaparib, bevacizumab and atezolizumab in recurrent, progressive endometrial carcinoma.
(n = 26)
PARP; VEGFR-1; PD-1 5.3 months (95% CI, 2.7–7.9 months) 13.3 months (95% CI, NA) 39% 1/26 (4%) CR; 9/26 (35%) PR; 13/26 (50%) SD 86 (2022)
 Olaparib, durvalumab NCT04269200
(phase III)
Durvalumab with or without olaparib as maintenance therapy after first-line treatment of advanced and recurrent endometrial cancer (DUO-E)
(n = 718)
PARP;
PD-L1
Carboplatin/paclitaxel (control): 9.6 months (95% CI, 9.0–9.9 months)
carboplatin/paclitxel + durvalumab:10.2 months
(95% CI, 9.7–14.7 months); HR: 0.71 (95% CI, 0.57–0.89; p = 0.003)
carboplatin/paclitxel + durvalumab + olaparaib:15.1 months
(95% CI, 12.6–20.7 months); HR: 0.55 (95% CI, 0.43–0.69; p < 0.0001)
Carboplatin/paclitaxel (control):
25.9 months (95% CI, 23.9 months–NR)
carboplatin/paclitxel + durvalumab: NR (95% CI, NR–NR); HR: 0.77 (95% CI, 0.56–1.07; p = 0.120)
carboplatin/paclitxel + durvalumab + olaparaib: NR (95% CI, NR–NR); HR: 0.59 (95% CI, 0.42–0.83; p = 0.003)
NA NA 88 (2023)
 Talazoparib, avelumab and axitinib NCT02912572
(phase II)
Phase II trial of Talazoparib, Avelumab and Axitinib in endometrial cancers
(n = 35)
PARP; VEGFR-1; PD-1 3.6 months (95% CI, 2.4–5.4 months) NA 11.4% (95% CI, 3.2%–26.7%) 4/35 (11%) PR; 20/35 (57%) SD 87 (2022)
 Olaparib NCT02755844
(phase I/II)
ENDOLA: safety and efficacy of metronomic cyclophosphamide, metformin and olaparib in endometrial cancer patients
(n = 26)
PARP endometrioid: 7.6 months (95% CI, 5.2–10.6 months)
USC: (5.1 months (95% CI, 3.8 months–NE)
NA 20.8% (95% CI, 7.1%–42.1%) NA 90 (2025)
 Olaparib, cediranib NCT03570437
(phase II)
COPELIA: phase II trial to assess cediranib in combination with weekly paclitaxel or olaparib versus weekly paclitaxel chemotherapy for advanced endometrial carcinoma
(n = 116)
PARP; VEGFR-1 Paclitaxel: 5.4 months
paclitaxel + cediranib: 6.9 months
paclitaxel + olaparib: 4.3 months
NA NA NA 91 (2024)
Cell cycle checkpoints
 Adavosertib NCT03668340
(phase II)
Phase II study of adavosertib/AZD1775
(n = 34)
WEE1 6.1 months (95% CI, 4.2–9.9 months) NA 29.4% (95% CI, 15.1%–47.5%) 1/34 (3%) CR; 9/34 (26%) PR 93 (2021)
 Adavosertib NCT04590248
(phase IIb)
ADAGIO: assessing the efficacy and safety of adavosertib (AZD1775) as treatment for recurrent or persistent USC
(n = 104)
WEE1 2.8 months (95% CI, 2.6–3.9 months) 9.6 months (95% CI, 8.3 months–NE) 26.0% (95% CI, 17.9%–35.5%) 1/104 (1%) CR; 26/104 (25%) PR; 42/104 (40.4%) SD
BICR with FAS results have been used.
94 (2025)
EGFR family
 Erlotinib NCT00030485
(phase II)
Phase II study of erlotinib in recurrent or metastatic endometrial cancer.
(n = 32)
EGFR NA NA NA Overall: 4/32 (12.5%) PR; 15/32 (47%) SD
EGFR-positive:
3/19 (16%) PR; 7/19 (36.8%) SD
97 (2008)
 Lapatinib NCT00096447
(phase II)
Phase II Study of Lapatinib
(n = 30)
EGFR; HER2 1.8 months
(IQR, 1.4–3.5 months)
7.3 months
(95% CI, 3.9–15.8 months)
3.3%
(90% CI, 0.2–14.9%)
1/30 (3.3%) PR; 7/30 (22.3%) SD 100
(2012)
 Trastuzumab NCT00006089
(phase II)
Phase II trial of trastuzumab in women with advanced or recurrent, HER2-positive endometrial carcinoma
(n = 34)
HER2 HER2 positive (by IHC 2+/3+): 1.8 months
ERBB2 amplified (by FISH): 1.8 months
HER2 positive (by IHC 2+/3+): 7.9 months
ERBB2 amplified (by FISH): 6.8 months
0 12/34 (35%) SD 101 (2010)
 Trastuzumab NCT01367002
(phase II)
Phase II study of carboplatin/paclitaxel with and without trastuzumab (herceptin)
(n = 17)
HER2 Overall: 8.0 months for control arm vs 12.9 months for combination arm (HR: 0.46; 90% CI, 0.28–0.76; p = 0.005)
advanced (stage III–IV) first line: 9.3 months for control arm vs 17.7 months for combination arm (HR: 0.44; 90% CI, 0.23–0.83; p = 0.015)
Overall: 24.4 months for control arm vs 29.6 months for trastuzumab arm (HR: 0.58; 90% CI, 0.34–0.99; p = 0.046)
advanced (stage III–IV): 24.4 months for control arm vs NR for trastuzumab arm (HR: 0.49; 90% CI, 0.25–0.97; p = 0.041)
Control: 44%
combination: 75%
Control: 2/8 (25%) CR; 4/8 (50%) PR; 1/8 (12.5%) SD
Combination: 1/9 (11.1%) CR; 3/9 (33.3%) PR; 5/9 (55.6%) SD
102 (2020)
PI3K/AKT/mTOR pathway
 Temsirolimus NCT00072176
(phase II)
Phase II study of Temsirolimus
(n = 54)
mTOR Chemo naïve: 7.3 months (95% CI, (3.6–9.9 months)
post-chemo: 3.3 (95% CI, 2.0–3.8 months)
NA Chemo naïve: 13.8%
(95% CI, 3.9–31.7%)
post-chemo: 4.0%
(95% CI, 0.1–10.4%)
Chemo naïve: 4/29 (14%) PR; 20/29 (69%) SD
Post-chemo: 1/25 (4%) PR; 12/25 (48%) SD
104 (2013)
 Temsirolimus and bevacizumab NCT00723255
(phase II)
Bevacizumab and temsirolimus in treating patients with recurrent or persistent endometrial cancer
(n = 49)
mTOR; VEGFR-1 5.6 months (first and third quartiles, 3.6–13.4 months) 16.9 months
(first and third quartiles, 8.5–25.9 months)
24.5% (90% CI, 14.8%–36.6%) 1/49 (2%) CR; 11/49 (22.4%) PR; 27/49 (55.1%) SD 105, 106 (2011, 2013)
 AZD2014, AZD5363 and olaparib NCT02208375
(phase Ib)
A phase Ib study of the oral PARP inhibitor olaparib with the oral mTORC1/2 inhibitor AZD2014 or the oral AKT inhibitor AZD5363
(n = NA)
mTROC1/2; AKT; PARP NA NA AZD2014 + olaparib: 44.4%
AZD5363 + olaparib: 50%
AZD2014 + olaparib: NA
AZD5363 + olaparib: 4/8 (50%) PR
108,109 (2018, 2021)
MAPK pathway
 AZD6244/selumetinib NCT01011933
(phase II)
Phase II study of AZD6244/Selumetinib
(n = 52)
MEK1/2 2.3 months
(IQR, 1.7–5.6 months)
8.5 months
(IQR, 3.5–15.5 months)
6% 1/52 (1.9%) CR; 2/52 (3.8%) PR; 13/52 (25%) SD 110 (2015)
 Sorafenib NCT00238121
(phase II)
Sorafenib in uterine carcinoma or carcinosarcoma
(n = 56)
MAPK: RAF/MEK/ERK; VEGFR; PDGFR Carcinoma group: 3.2 months (95% CI, 1.9–4.0 months)
UCS group: 1.8 months
(95% CI, 1.4–3.5 months)
carcinoma group: 11.4 months (95% CI, 6.9–17.7 months)
UCS group: 5 months
(95% CI, 1.4–14 months)
carcinoma group: 5%
USC group: 0
Carcinoma group: 2/40 (5%) PR; 17/40 (42%) SD
UCS group: 4/16 (25%) SD
111 (2010)
ADCs
 T-DXd NCT04482309
(phase II)
DESTINY-PanTumor02: a phase II study of T-DXd in patients with selected HER2 expressing tumours (DPT02)
(n = 40)
HER2 All endometrial: 11.1 months (95% CI, 7.1 months–NR)
IHC 3+:
NR (95% CI, 7.3 months–NR)
IHC 2+:
8.5 months (95% CI, 4.6–15.1 months)
All endometrial:
26 months
(95% CI, 12.8–NR)
All endometrial: 57.5%
IHC 3+: 84.6%
IHC 2+:47.1%
All endometrial: 8/40 (20%) CR; 15/40 (37.5%) PR; 12/40 (30%) SD 115 (2023)
 SYD985 (trastuzumab duocarmazine) NCT04205630
(phase II)
SYD985 in patients with HER2-expressing recurrent, advanced or metastatic endometrial carcinoma
(n = 61)
HER2 5.6 months (95% CI, 4.0–7.6 months) 16.3 months
(95% CI, 11.6–20.5 months)
32.8% NA Clinicaltrials.gov
 Sacituzumab tirumotecan (Sac-TMT/SKB264/MK-2870) NCT04152499
(phase I/II)
Sac-TMT in advanced unresectable/metastatic solid tumours, refractory to standard therapies
(n = 44)
TROP2 5.7 months (95% CI, 3.7–9.4 months) NA 34.1% 15/44 (34.1%) CR or PR (breakdown not provided); 18/44 (40.9%) SD 123 (2024)
 Dato-DXd NCT05489211
(phase II)
Study of Dato-Dxd as monotherapy and in combination with anti-cancer agents in patients with advanced solid tumours (TROPION-PanTumor03)
(n = 40)
TROP2 6.3 months (95% CI, 2.8 months–NR) NA 27.5% 1/40 (2.5%) CR; 10/40 (25%) PR; 23/40 (57.5%) SD 124 (2024)
Other targets
 KPT-330 (selinexor) NCT02025985
(phase II)
SIGN: phase II study of KPT-330 (Selinexor)
(n = 23)
XPO1 2.8 months
(95% CI, 1.4–5.3 months)
7.0 months
(95% CI, 3.6–11.3 months)
13% 3/23 (13.0%) PR; 5/23 (21.7%) SD 125 (2020)
 KPT-330 (selinexor) NCT03555422
(phase III)
Selinexor in maintenance therapy after systemic therapy for participants with P53 wild-type, advanced or recurrent endometrial carcinoma (XPORT-EC-042)
(n = 113)
XPO1 KPT-330: 28.4 months
placebo: 5.2 months
(36.8 month follow-up; HR 0.44; 95% CI, 0.27–0.73)
NB: results are for TP53wt
NA NA NA 126 (2024)
 KPT-330 (selinexor) NCT05611931
(phase III)
A phase III, randomized, placebo-controlled, double-blind, multicentre trial of selinexor in maintenance therapy after systemic therapy for patients with P53 wild-type, advanced or recurrent endometrial carcinoma, (SIENDO).
(n = 259)
XPO1 KPT-330: 5.7 months (95% CI, 3.8–9.2 months)
Placebo: 3.8 months (95% CI, 3.7–7.4 months)
HR: 0.76 (95% CI, 0.54–1.08; two-sided p = 0.126)

KPT-330 TP53wt: 13.7 months
Placebo TP53wt: 3.7 months
NA NA NA 127 (2023)

This table summarises 30 clinical trials (phase I: 1; phase I/II: 3; phase II: 20; phase III: 6) which were examined in this review. We have included trials with at least 30 patients with uterine malignancies, along with some smaller trials that either served as a basis for important larger trials or were identified as having a significant potential for patient benefit. The number of evaluable patients with uterine malignancies in each trial (n) is indicated in parentheses in the third column of this table. Each clinical trial in this table includes a citation reference in the final column, with the year of publication provided in parentheses.

ADCs, antibody–drug conjugates; BICR, blinded independent central review; CI, confidence interval; CR, complete response; Dato-DXd, datopotamab deruxtecan; FAS, full analysis set; HR, hazard ratio; IHC, immunohistochemistry; IQR, interquartile range; MMRd, mismatch repair deficient; MMRp, mismatch repair proficient; MSI-H, microsatellite instability-high; MSS, microsatellite stable; NA, not available; NE, not evaluable; NR, not reached; ORR, objective response rate; OS, overall survival; PARP, poly(ADP-ribose) polymerase; PD-1, programmed cell death protein 1; PDGFR, platelet-derived growth factor receptor; PFS, progression-free survival; PR, partial response; SD, stable disease; T-DXd, Trastuzumab–deruxtecan; TKI, tyrosine kinase inhibitor; TROP2, trophoblast cell surface glycoprotein 2; UCS, uterine carcinosarcomas; USC, uterine serous carcinomas; VEGFR, vascular endothelial growth factor receptor.

For uterine sarcomas, surgery (total hysterectomy and bilateral salpingo-oophorectomy) is the standard of care. 11 Adjuvant radiation, chemotherapy, hormone therapy and immunotherapy are frequently used, but evidence for their statistically significant benefit is limited, preventing their universal standard-of-care designation. 11 Chemotherapeutic options include anthracyclines (e.g. doxorubicin), nucleoside analogues (e.g. gemcitabine), DNA alkylating agents (e.g. ifosfamide dacarbazine, temozolomide and trabectedin) and taxanes. 11

This review aims to provide a critical summary of the molecular characterisation of uterine malignancies and the evidence of matched treatments from clinical trial data, highlighting those therapies that have shown tangible improvements in patient outcomes.

Genomic landscape of uterine malignancies

Classification of endometrial carcinomas into four new molecular categories has allowed a greater clinical understanding of prognosis and potentially of therapeutic susceptibility: (i) Polymerase epsilon (POLE) ultramutated, (ii) MSI hypermutated, (iii) copy-number low and (iii) copy-number high. The POLE-ultramutated group had the best progression-free survival (PFS), followed by the MSI hypermutated group and the copy number low group, respectively, while the copy number high group had the worst PFS. 12 Uterine malignancies generally exhibit a high degree of molecular complexity and a significant number of molecular aberrations. While the specific genomic alterations relevant to each type differ somewhat, recurring patterns of genomic alterations include mutations in tumour suppressor genes such as PTEN and TP53, activation of oncogenes such as PIK3CA and KRAS, and significant chromosomal alterations where gains or losses of entire chromosome regions are observed. 13 Specific molecular alterations for each type of uterine malignancy are summarised in Tables 13.

Table 1.

Frequencies of SNVs across uterine malignancy types.

Gene USC UCS CCEC EC UAS uLMS USS UUS PEComa References
ADGRV1 NR NR NR NR NR NR NR NR 10% 5
AHNAK NR NR NR NR 28%–42% NR NR NR NR 46
AKT1 NR NR 0% 4% 5%–17% NR NR NR NR 14, 36, 39
AMER1 NR NR 13% NR NR NR NR NR NR 38
ANKRD30A NR NR NR NR 16% NR NR NR NR 46
ANP32E NR NR NR NR 5% NR NR NR NR 46
APC NR NR 13% 10% NR NR NR NR NR 14, 38
ARID1A 11% 13%–25% 7%–27% 25%–50% NR NR NR NR NR 4, 7, 13, 14, 17, 18, 32, 38, 39
ATM 25% NR 17% 8% 2% NR NR NR NR 21, 36, 38
ATRX NR NR NR NR 5%–22% 31% NR NR 15% 5, 36, 46, 47
BAZ1A NR 14% NR NR NR NR NR NR NR 17
BCOR NR NR 13% NR 21% NR NR NR NR 38, 46
BRCA1 11%–50% a NR NR 8% 21% NR NR NR NR 21–24, 31, 46, 55
BRCA2 2%–8% 17% NR 8%–11% NR 2%–3% 0% 5% NR 14, 21–24, 31, 36
BRIP1 NR 20% NR 8% NR NR NR NR NR 21
CD36 NR NR NR NR NR NR NR NR 6% 60
CDK12 NR NR NR 8% NR NR NR NR NR 21
CDKN2A NR NR NR NR NR 0%–2% NR 16% NR 36, 46, 55
CHECK2 NR NR NR 8% NR NR NR NR NR 21
CHD4 20% 10%–18% 0% NR NR NR NR NR NR 25, 26, 32, 34, 39
CSMD3 NR 23% 14% NR NR NR NR NR NR 32, 39
CTCF 0% 7% 0% 12%–30% NR NR NR NR NR 14, 30, 32, 39
CTNNB1 3% 5%–12% 0% 23%–27% NR NR NR NR NR 7, 14, 17, 18, 31, 39
DCHS2 NR NR NR NR 31% NR NR NR NR 46
DICER1 NR NR 13% NR 17% NR NR NR NR 36, 38
DNAH10 NR NR NR NR 5% NR NR NR NR 46
ERBB2 5% 3% 10%–12% 1%–4% NR NR NR NR NR 7, 18, 27, 38
ERBB3 NR NR 10% 9% 0% NR NR NR NR 14, 38, 46
ETX2 NR NR NR NR 11% NR NR NR NR 46
FBXW7 20% 11%–40% 27% NR NR NR NR NR NR 7, 24–26, 31, 32, 34, 35, 38
FCGBP NR NR NR NR 21%–24% NR NR NR NR 46
FZR1 NR NR NR NR NR NR NR NR 5% 5
GLI3 NR NR NR NR 11% NR NR NR NR 46
H2A/H2B NR 21% NR NR NR NR NR NR NR 35
HNF1A NR NR 13% NR NR NR NR NR NR 38
KEAP1 NR NR 13% NR NR NR NR NR NR 38
KDM6B NR NR NR NR 28%–36% NR NR NR NR 46
KMT2C NR NR 17% NR 36%–52% NR NR NR NR 38, 46
KMT2D NR NR 20% 13% NR NR NR NR 5% 5, 14, 38
KRAS 3%–8% 10%–29% 0%–14% 16%–40% 11% NR NR NR NR 7, 14, 17, 31, 32, 34, 36–38
MAGEC1 NR NR NR NR 34%–37% NR NR NR NR 46
MAP3K1 NR NR 13% NR NR NR NR NR NR 38
MCM9 NR NR NR NR 16% NR NR NR NR 46
MDM2 NR NR NR NR 26% NR 9% 0% NR 36, 54, 58
MED12 NR 3% NR NR NR 10%–13% NR 5% NR 32, 36, 46, 48, 55, 56
MLL3 NR 29% NR NR NR NR NR NR NR 31
MPL NR NR 13% NR NR NR NR NR NR 38
NCOA2 NR NR NR NR 16% NR NR NR NR 46
NF1 NR NR 13% NR NR NR NR 17% NR 36, 38
PIK3CA 16%–35% 28%–41% 14%–40% 40%–60% 11% 4% 0% 5% NR 7, 13, 14, 17, 18, 25, 26, 31, 32, 34, 36, 38, 39
PIK3R1 12% 7%–18% 16%–23% 37%–50% NR NR NR NR NR 7, 13, 28, 31, 34, 38
PPP2R1A 20%–43% 13%–28% 16%–37% 7%–10% 5% NR NR NR NR 7, 17, 28, 32, 34, 36, 38, 39
PTEN 3%–11% 19%–47% 0%–21% 54%–85% 6% 5%–16% 9% 5%–12% NR 7, 13, 14, 17, 25, 31–36, 38–40, 48
RAD51D NR 25% NR NR NR NR NR NR NR 21
RB1 NR 4%–9% NR NR 0% 10%–42% 0% 5%–21% NR 35, 36, 46, 55
ROS1 NR NR NR NR 16% NR NR NR NR 46
SMARCA4 NR NR 17% NR NR NR NR NR NR 38
SPOP NR 3%–18% 14%–17% NR NR NR NR NR NR 28, 31, 34, 38
SUFU NR NR NR NR NR NR NR NR 5% 5
TAF1 13% NR 10% NR NR NR NR NR NR 26, 28
TFE3 NR NR NR NR NR NR NR NR 5% 5
TP53 67%–90% 53%–90% 29%–47% 10%–26% 24% 46%–67% 0%–6% 14%–37% 15% 5, 7, 14, 17, 25, 26, 31–33, 36, 38, 39, 46, 55, 56
TSC1 NR NR NR NR NR NR NR NR 10%–45% 5, 60
TSC2 NR NR NR NR 5% 0% 6% 5% 35% 5, 36, 60
a

Due to a small number of cases in some studies, some mutation frequencies may be abnormally high.

CCEC, clear cell endometrial carcinoma; EC, endometrioid carcinoma; NR, not reported; PEComa, perivascular epithelioid cell tumour; SNVs, small nucleotide variants; UAS, uterine adenosarcoma; UCS, uterine carcinosarcoma; uLMS, uterine leiomyosarcoma; USC, uterine serous carcinoma; USS, uterine stromal sarcoma; UUS, undifferentiated uterine sarcoma.

Table 2.

Gene amplification frequency in uterine malignancies.

Gene Amplification frequency
USC UCS CCEC EC UAS uLMS USS UUS References
AKT2 NR NR 10% NR NR NR NR NR 38
CCNE1 22%–45% 42%–45% 17%–18% 6% 5%–6% NR NR NR 7, 19, 26, 28, 29, 34, 36, 38, 56
CDK4 NR NR NR NR 22% 4% 25% 5% 46, 48, 56
CEBPA NR NR 10% NR NR NR NR NR 38
CHD4 28% NR NR NR NR NR NR NR 26
ERBB2 13%–44% 8%–20% 9%–16% 1% NR NR NR NR 7, 24, 26, 28, 38
ERBB3 3% 13% NR NR 17% NR NR NR 7, 56
FANCA NR NR NR NR 11% NR NR NR 56
FGFR1/FGFR3 33% NR 20% NR 17% NR NR NR 7, 43, 56
MAP2K4 NR NR NR NR NR 8% 0 0 48
MEF2B NR NR 10% NR NR NR NR NR 38
MCL1 NR NR 7% NR NR 3% NR 14% 38, 48
MDM2 NR 38% NR NR 10%–27% 4%–50% a 25% 10% 36, 46, 48, 57
MET NR NR 10% NR NR NR NR NR 38
MYC 40% NR NR NR NR NR NR NR 26
NOTCH2/NOTCH3 NR NR 7% NR 17% NR NR NR 38, 56
NTRK1 NR NR NR NR% 3%–17% NR NR NR 36, 56
PIK3CA 45%–52% 14% NR 12% 17% NR NR NR 7, 20, 26, 56
RIT1 NR NR NR NR NR 3% 0% 24% 48
SDHC NR NR NR NR 17% NR NR NR 56
SOX17 67% a 25% NR NR NR NR NR NR 7, 43
TERT NR NR NR NR 21% NR NR NR 28
WT1 NR NR 7% NR NR NR NR NR 38
a

Due to a small number of cases in some studies, some amplification frequencies may be abnormally high.

CCEC, clear cell endometrial carcinoma; EC, endometrioid carcinoma; NR, not reported; UAS, uterine adenosarcoma; UCS, uterine carcinosarcoma; uLMS, uterine leiomyosarcoma; USC, uterine serous carcinoma; USS, uterine stromal sarcoma; UUS, undifferentiated uterine sarcoma.

Table 3.

Gene deletion frequency in uterine malignancies.

Gene Deletion frequency
USC UCS CCEC EC UAS uLMS USS UUS References
ARID1A 14% NR 14%–30% NR 11% NR NR 6% 5, 39, 42, 56
ATRX NR NR NR NR 4% NR NR NR 36
B2M NR NR NR NR NR 5% NR 5% 48
BAP1 NR NR NR NR 9%–28% NR NR NR 28, 36
BRCA1 25% 6%–20% NR NR NR NR NR NR 21, 31
BRCA2 NR 6% NR NR 6% 4%–7% 0% 0% 28, 31, 48, 51, 56
CCNE1 8% NR NR NR 6% NR NR NR 26, 56
CDKN2A NR NR NR NR 5% 6%–9% 0% 24% 36
CDKN2B NR NR NR NR 5% 6% NR NR 36
CHD4 12% NR NR NR NR NR NR NR 26
CTCF 66% NR NR 7% NR NR NR 12% 5, 30
DAXX NR NR 10%–11% NR NR NR NR NR 28, 38
ERBB2 20% NR NR NR NR NR NR NR 26
FANCA NR NR NR NR NR NR NR 12% 5
FBXW7 57% NR NR NR 11% NR NR NR 26, 56
FGFR3 NR NR NR NR NR NR NR 12% 5
MBD3 68% NR NR NR NR NR NR NR 26
MPL NR NR NR NR NR NR NR 6% 5
MYCN NR NR NR NR NR NR NR 12% 5
NOTCH1 NR NR NR NR NR NR NR 12% 5
NTRK1 NR NR NR NR 11% NR NR NR 56
PDCD1 NR NR NR NR NR 9% 0% 0% 48
PTEN 5% NR 80% NR 5%–6% 10%–13% 25% 6%–19% 5, 7, 12, 36, 48
RB1 NR NR NR NR 13%–28% 38% 0% 6%–10% 5, 28, 46, 48, 56
TP53 0%–44% NR 7% NR NR 10%–13% 0% 0%–6% 5, 12, 26, 36, 39, 46, 48
TSC1 NR NR NR NR NR NR NR 18% 5
TSC2 NR NR NR NR NR NR NR 5%–12% 5, 48

CCEC, clear cell endometrial carcinoma; EC, endometrioid carcinoma; NR, not reported; UAS, uterine adenosarcoma; UCS, uterine carcinosarcoma; uLMS, uterine leiomyosarcoma; USC, uterine serous carcinoma; USS, uterine stromal sarcoma; UUS, undifferentiated uterine sarcoma.

The risk of developing endometrial cancer is doubled with a family history of endometrial cancer, 13 and individuals with Lynch syndrome (germline mutations in MLH1, MSH2, MSH6, PMS2, EPCAM or TGFBR2) face a 20%–70% lifetime risk, 14 accounting for 3%–5% of uterine carcinoma cases. 13 Cowden syndrome (germline PTEN mutations) also elevates risk (25%–30% lifetime). 15 Other gene alterations associated with increased risk include POLD1, POLE and BRCA1.12,16

Key mutations in the EC type of uterine malignancy occur in PTEN (54%–85%), PIK3CA (40%–60%), PIK3R1 (37%–50%), ARID1A (25%–50%), KRAS (16%–40%), CTNNB1 (23%–27%) and TP53 (10%–26%).7,13,14,17,18 Generally, copy number changes are not common, but PIK3CA (12%) and CCNE1 (6%) are the most commonly amplified genes.19,20 MSI, indicative of MMRd, is detected in 25%–40% of EC. 13 Hormone receptor (oestrogen and progesterone) expression is common, reflecting their role in EC pathogenesis.3,7

The aggressive USC type of endometrial cancer shares several similarities with high-grade serous ovarian carcinoma (HGSOC), basal-like breast cancer (BLBC) and triple-negative breast cancer (TNBC), including frequent alterations in TP53 (67%–90%) and extensive chromosomal instability with significant copy number alterations (CNAs) and loss of heterozygosity.12,16 MMRd and MSI are rare (2%). 12 Besides TP53, frequently mutated genes include PPP2R1A (20%–43%), PIK3CA (16%–35%), ATM (25%), FBXW7 (20%), CHD4 (20%) BRCA1 (11%–50%).7,2127 Amplifications in USC are common, including PIK3CA (45%–52%), CCNE1 (22%–45%), ERBB2 (13%–44%), MYC (40%) and CHD4 (28%).7,26,28,29 While less frequent than in HGSOC and BLBC, USC often displays features of Homologous Recombination Deficiency (HRD), or defective DNA repair, such as alteration in HR genes (i.e. BRCA1 and BRCA2) or presence of mutational signature 3. 16 The optimal method and cut-off for classifying a USC malignancy as being HRD has not yet been validated. Additional common deletions found in USC involve MBD3 (68%), CTCF (66%), FBXW7 (57%) and TP53 (0%–44%).12,26,30

The mutational profile of UCS overlaps with EC and USC, with mutations commonly found in TP53 (53%–90%), PTEN (19%–47%), PIK3CA (28%–41%), FBXW7 (11%–40%), MLL3 (29%), KRAS (10%–29%), PPP2R1A (13%–28%), RAD51D (25%) and ARID1A (13%–25%).7,13,17,21,25,28,3137 Frequent amplifications occur in CCNE1 (42%–45%), MDM2 (38%), SOX17 (25%) and ERBB2 (8%–20%), and BRCA1 deletions are reported to occur in 6%–20% of UCS cases.7,19,21,28,29,31,34 Mutational signature 3 is dominant in ~7% of UCS cases, while MMRd occurs in 3%–6% of cases. 16

CCEC has limited genomic data. Frequently mutated genes include TP53 (29%–47%), PIK3CA (14%–40%), PPP2R1A (16%–37%), FBXW7 (27%), ARID1A (7%–27%), PIK3R1 (16%–23%) and KMT2D (20%),7,17,25,3840 with MMRd rates of 10%–20%. 41 Frequently amplified genes include CCNE1 (17%–18%) and ERBB2 (9%–16%), and frequently deleted genes include PTEN (80%), ARID1A (14%–30%) and DAXX (10%–11%).7,12,28,38,39,42,43 CCEC resembles several features of clear cell ovarian carcinoma, including low hormone receptor expression and frequent expression of PD-L1. 41

Uterine sarcomas generally exhibit a lower mutational burden than endometrial carcinomas, but are associated with higher rates of recurrence, metastasis and mortality.44,45 uLMS frequently harbours mutations in TP53 (46%–67%), RB1 (10%–42%), ATRX (31%), PTEN (5%–16%) and MED12 (10%–13%).25,36,4648 uLMS exhibits high-level CNAs and chromothripsis/chromoplexy, in conjunction with reduced inflammatory response gene expression and low leukocyte fraction.44,49,50 Deletions can occur in RB1 (38%) and in PTEN and TP53 (both 10%–13%).28,36,48 In addition, HR pathway aberrations are seen in up to 13% of uLMS, and dominant COSMIC mutational signature 3 is observed in ~25%.51,52 Promoter methylation of BRCA1 or RAD51C in uLMS has not been reported to date. 50 MMRd is reported in 22% of uLMS, and hormone receptor expression is common (40%–80%). 44

Genomic analyses of UAS reveal common mutations in KMT2C (36%–52%), AHNAK (28%–42%), MAGEC1 (34%–37%), DCHS2 (31%), MDM2 (26%), ATRX (5%–22%), TP53 (24%) and BCOR (21%).36,46,5355 The PTEN/AKT/PI3K pathway is frequently altered (72%), suggesting a potential therapeutic avenue. 56 Amplifications of MDM2 (10%–27%), CDK4 (22%) and TERT (21%) have been reported, as well as deletions of RB1 (13%–28%) and BAP1 (9%–28%).28,36,46,48,56,57

USS frequently express hormone receptors and have recurrent chromosomal translocations involving JAZF1.11,58 Variants in MDM2 (9%), PTEN (9%) and TP53 (0%–6%) have been reported, with MMRd in 14% of cases.36,48,58 Amplification of CDK4 (25%) and MDM2 (25%) and deletion of PTEN (25%) have also been described.36,48 UUS are also characterised by chromosomal translocations, with the gene rearrangement YWHAE::NUTM2 (previously known as YWHAE::FAM22) being the most common. 45 Neurotrophic tyrosine receptor kinase (NTRK) gene fusions have also been observed in various case reports for UUS, however the frequency is not reported. 59 Other frequent mutations occur in TP53 (14%–37%), RB1 (5%–21%), PTEN (5%–12%) and NF1 (17%), and amplification of RIT1 (24%) and deletion of CDKN2A (24%) and PTEN (6%–19%) have been reported.25,36,45,48 MMRd rates in UUS vary (1%–25%), and they are usually CD10, ER and partial response (PR) negative.11,45

Uterine PEComas express HMB45 and/or Melan-A and limited genomic data generally (not specific to uterine cases) suggests frequent mutations in TP53 (15%), TSC2 (35%), TSC1 (10%–45%) and ATRX (15%).5,60

Molecularly matched therapies for uterine malignancies

Molecular profiling offers opportunities for targeted therapies in uterine malignancies. In endometrial carcinomas, MMRd/MSI-H and POLE-mutated tumours may respond to ICIs.61,62 HER2-directed therapies are relevant for p53-mutant/HER2-positive malignancies (frequently USC, UCS, CCEC and UAS), while other actionable co-alterations, including vulnerabilities in cell cycle regulation or DNA damage response (DDR) pathways, are potentially targetable with DDR inhibitors (DDRi), including Poly(ADP-ribose) polymerase (PARP) inhibitor therapy (PARPi).63,64 The RAINBO trials aim to answer many of these questions by stratifying therapy based on the endometrial carcinoma molecular subgroups: ICI (MMRd-GREEN), de-escalation for POLE ultra-mutated (POLEmut-BLUE, TAPER trial), hormonal therapy for no specific molecular profile (NSMP-ORANGE) and the addition of maintenance olaparib following standard adjuvant chemoradiation (p53abn-RED). 65 Subgroup-specific outcome reporting helps refine treatment, especially for aggressive p53-mutant MMRp (HER2-negative) EC potentially benefiting from ICI-chemotherapy combinations. 66

In uterine sarcomas, the landscape is more complex. While hormonal therapy is relevant for ER/PR-positive USS and uLMS, its role in UUS is limited due to low hormone receptor expression.48,67,68 PARPi shows promise in uLMS, which frequently harbour BRCA1/2 or other HR gene disruptions (refer to Tables 1 and 3). PI3K/AKT/mTOR inhibitors are under investigation across uterine malignancies, including sarcomas, given the frequent dysregulation of this pathway.44,48 The role of ICIs in sarcomas is less defined, often requiring specific biomarker identification (i.e. high tumour mutational burden, specific fusion proteins). 62

Despite the limited application of targeted therapies in uterine malignancies thus far, the extensive mutational burden across the spectrum of the various subtypes, in conjunction with the marked genomic similarities between uterine malignancies and other cancer types, highlights the translational opportunities for several targeted therapies. Molecular stratification is crucial to personalise treatment and improve outcomes for uterine malignancy patients. This review will discuss clinical trials with 30 or more patients with uterine malignancies that showed potential for patient benefit, with a summary provided in Table 4. Some trials with fewer than 30 patients are also included because they led to larger, important follow-up trials or were deemed to have significant potential for patient benefit. Trials with underwhelming results were largely excluded unless their inclusion was necessary for providing a broader context.

Immunotherapy

The ICIs pembrolizumab and dostarlimab have been approved as first-line combination therapy with carboplatin and paclitaxel for advanced, persistent or recurrent endometrial carcinomas, which are MMRd/MSI-H. 10 These monoclonal antibody (mAb)-based drugs target the cell surface receptor, programmed cell death protein 1 (PD-1), blocking its interaction with PD-L1. 69 This stimulates immune reactivity and surveillance to promote a T-cell-mediated immune response. 69

Single-agent ICI

Several clinical trials have evaluated the ICIs, pembrolizumab or dostarlimab (PD-1 inhibitors; PD-1i), either as monotherapy or in combination therapies in endometrial cancers. Limited efficacy was shown for pembrolizumab as a monotherapy in previously treated, advanced, PD-L1-positive endometrial carcinoma in the phase Ib trial KEYNOTE-028 (NCT02054806), 70 with more encouraging results seen for those with previously treated, advanced endometrial carcinoma which was MMRd in the phase II trial KEYNOTE-158 (NCT02628067). 71 The GARNET phase I clinical trial (NCT02715284) of dostarlimab as a single agent in advanced previously treated endometrial cancer also demonstrated encouraging activity in the MMRd population, with limited benefit in the MMRp population, suggesting the necessity of exploring combination regimens. 72

ICI combined with chemotherapy

In a phase II study (NCT02549209), patients with Stage III or IV recurrent endometrial carcinoma treated with pembrolizumab, carboplatin and paclitaxel achieved a longer overall median PFS of 10.6 months (median PFS of 8.8 months vs not reached for MMRp vs MMRd, respectively). 73 These earlier trials led to three phase III trials of ICI in combination with chemotherapy in the first-line setting, two of which have reported results. The NRG-GY018 phase III trial (NCT03914612) confirmed benefit of the combination of pembrolizumab with chemotherapy, followed by 2 years of maintenance pembrolizumab, in primary advanced Stage III or IV or first recurrent endometrial cancer, treated in the first-line setting. 74 Importantly, NRG-GY018 was powered to evaluate benefit in both the MMRd and MMRp patient cohorts. 74 NRG-GY018 met its primary endpoint in both cohorts, with a 70% reduction in the risk of disease progression or death in the MMRd cohort (HR 0.30). 74 In the MMRp cohort, median PFS was 13.1 months with pembrolizumab and 8.7 months with placebo (HR 0.54). 74 In the phase III RUBY/ENGOT-EN6/GOG-3031/NSGO trial (NCT03981796), in a similar setting, the benefit of adding dostarlimab to chemotherapy, followed by dostarlimab maintenance was examined and met its primary endpoint in the overall population, with both PFS and overall survival (OS) benefits in MMRp as well as MMRd endometrial cancer. 75 With 51% maturity, RUBY met the dual primary endpoint for OS at the second interim analysis, with a reduction in the risk of death (HR 0.69) in patients receiving dostarlimab versus chemotherapy alone. The risk of death was lower in the MMRd/MSI-H population (HR 0.32), with a trend in favour of dostarlimab in the MMRp/MSS population (HR 0.79). 75

ICI combined with TKI

The phase Ib/II clinical trial KEYNOTE-146 (NCT02501096) tested the receptor tyrosine kinase inhibitor (RTKi), lenvatinib (which targets vascular endothelial growth factor receptor (VEGFR), fibroblast growth factor, platelet-derived growth factor receptor (PDGFR), c-KIT and RET), in combination with pembrolizumab in a range of solid tumour types, including endometrial carcinoma (subtypes EC, USC, CCEC). 76 For patients with endometrial cancer, pembrolizumab combined with lenvatinib resulted in a median PFS of 7.4 months. 76 The subsequent KEYNOTE-775 phase III trial (NCT03517449) tested pembrolizumab in combination with lenvatinib in endometrial cancer patients (subtypes EC, USC, CCEC) which were MMRp, compared with standard chemotherapy regimens (doxorubicin and paclitaxel). 77 Pembrolizumab combined with lenvatinib resulted in a longer PFS (7.2 months compared with 3.8 months). 77

ICI with radiotherapy

In the ongoing RAINBO MMRd-GREEN sub-trial (NCT05255653; phase III), the addition of an adjuvant PD-L1 inhibitor (PD-L1i; durvalumab) to standard radiotherapy is being evaluated. 78 The trial will assess whether this combination improves recurrence-free survival (RFS) in patients with MMRd endometrial cancer. 78 This trial is currently recruiting, and results are eagerly anticipated, with the first major data readouts expected from 2028 onward.65,78

The synergistic potential of combining PD-1/PD-L1i with targeted agents, such as PARPi, which interfere with fundamental DNA repair pathways, is increasingly being explored. A discussion of these approaches follows in the next section.

DNA repair

Inhibition of essential DDR pathways presents an emerging and highly promising avenue of targeted cancer therapy. For cancer cells with deficiencies in redundant DDR mechanisms, pharmacologic inhibition of the cellular machinery involved in the DDR can induce a level of genomic instability that overwhelms the cell, ultimately impacting cell fate decisions, including cell death and senescence. 79

Poly(ADP-ribose) polymerase inhibitor

For some cancer types (notably HGSOC and BLBC/TNBC), which harbour defects in HR DNA repair, the advent of PARPi has been transformational. 80 Alterations in the HR DNA repair pathway for some types of uterine malignancies (particularly USC and uLMS) have highlighted these as potential candidates for PARPi. 16

Clinical trials evaluating PARPi as monotherapies are ongoing in advanced solid cancers. For uterine malignancies, recent investigations have largely focused on their use in combination with chemotherapy (or chemoradiotherapy) as maintenance or concurrent treatments, or in conjunction with ICIs, growth factor inhibitors, or other DDRi (these combinations are discussed in the next section). A significant clinical challenge is the development of acquired PARPi resistance, which has been reported in 40%–70% of other cancer types. 81 While the underlying mechanisms are complex and beyond the scope of this review, identifying combination therapies to mitigate resistance is an area of intense investigation.

PARPi with ICI and/or anti-angiogenics

A phase II trial (NCT03476798) combined the PARPi rucaparib with the VEGF inhibitor (VEGFi) bevacizumab in recurrent endometrial/cervical carcinomas or carcinosarcomas. While this trial showed limited overall benefit (median PFS was just 3.8 months), it suggested improved responses for patients with ARID1A mutations. 82 Other phase II trials (NCT03016338, NCT03951415) have, or are currently, evaluating PARPi and ICI combinations in the context of uterine cancers.83,84 The rationale for combining PARPi and ICI is that PARPi-induced DNA damage can upregulate PD-1/PD-L1 expression, potentially enhancing immune priming and targeted toxicity of HRD cancer cells. 85 The phase II trial NCT03016338 (dostarlimab and niraparib (PARPi)) showed modest activity (14% objective response rate (ORR) in all patients irrespective of MMR status), 83 while the trial NCT03951415 (durvalumab and olaparib (PARPi)) did not satisfy the pre-specified efficacy threshold (50% 6-month PFS) for this combination. 84 The phase II EndoBARR trial (NCT03694262) evaluated rucaparib and bevacizumab combined with atezolizumab (PD-L1i), demonstrating an ORR of 39%, with notable responses observed for MMRd tumours. 86 Several other trials have also explored combining PARPi with ICIs, some also with the addition of anti-angiogenic agents. A triplet combination of talazoparib (PARPi), avelumab (PD-L1i) and axitinib (inhibitor of VEGFR, c-KIT and PDGFR), was evaluated in a phase II trial (NCT02912572) specifically for MMRp endometrial cancers. 87 There was an 11.4% ORR, which was markedly less impressive than the results reported in EndoBARR, highlighting the likely influence of MMR status differences between the study populations. 87

PARPi with or without chemotherapy or ICI

DNA-damaging therapies such as platinum-based chemotherapies and DNA alkylating drugs have also been paired with PARPi. The first-line phase III trial, DUO-E (NCT04269200), in the setting of newly diagnosed advanced or recurrent endometrial cancer, examined the addition of the ICI durvalumab to carboplatin and paclitaxel chemotherapy, followed by first-line maintenance therapy with durvalumab combined with olaparib, compared with the addition of durvalumab to chemotherapy followed by durvalumab maintenance or chemotherapy alone. 88 Interim OS results (maturity ~28%) were supportive of the primary outcomes (durvalumab vs control: HR 0.77; durvalumab + olaparib vs control: HR 0.59). 88 The trial was not designed to enable the comparison of chemotherapy plus durvalumab and olaparib versus chemotherapy plus durvalumab. 88 Similarly, part 2 of the phase III RUBY trial (NCT03981796) involved the addition of the PARPi, niraparib, to dostarlimab (chemotherapy plus dostarlimab, followed by first-line maintenance therapy with dostarlimab plus niraparib for up to 3 years) compared with chemotherapy alone. 89 RUBY part 2 met its primary endpoint with an improvement in PFS in the overall and MMRp populations (MMRp: HR 0.63) with the combination of ICI and PARPi added to chemotherapy. 89 The interpretation of both the DUO-E and RUBY part 2 trials is challenging as neither included a chemotherapy plus PARPi arm; in addition, the optimal method and cut-off for classifying a USC malignancy as being HRD has not been validated. Therefore, as it remains unclear which patients derived benefit from the addition of PARPi, the uptake of the addition of PARPi to chemotherapy plus ICI in endometrial cancer has not been widely adopted.

The ongoing adjuvant phase III RAINBO-RED sub-trial (NCT05255653) is currently evaluating the addition of maintenance olaparib following standard adjuvant chemoradiation. This trial aims to determine whether this combination improves RFS in patients with endometrial carcinoma molecularly classified as p53-abnormal. 65 Given that this molecular subgroup is highly aggressive and associated with the poorest survival and highest risk of recurrence, the results of RAINBO-RED are eagerly anticipated, with initial data expected from 2028 onward.12,65

PARPi with other agents

The phase I/II ENDOLA trial (NCT02755844) examined olaparib with cyclophosphamide (DNA alkylating agent) and metformin (diabetes related medication, with PI3K/AKT/mTOR pathway inhibitory activity) in 26 patients, reporting a preliminary ORR of 20.8% and a 66.6% disease control rate in advanced/recurrent endometrial cancers. 90 The NSMP and TP53 altered groups had the best responses, indicating this could be a viable treatment option for the most aggressive endometrial cancers. 90 This represents an important step in translational research, moving findings from molecular subtypes into clinical application. The phase II COPELIA trial (NCT03570437) is investigating weekly paclitaxel in combination with either olaparib or cediranib (VEGFR-1 inhibitor) in 116 women with endometrial carcinoma subtypes. Initial results suggest that the olaparib combination is less effective than the cediranib combination or paclitaxel alone (refer to Table 4). 91

Cell cycle checkpoints

In addition to the inhibition of key molecules that mediate DNA repair via the DDR pathway, another promising approach is the inhibition of gatekeeper molecules that regulate cell cycle progression in response to DNA damage. The protein kinase ataxia telangiectasia and rad3-related (ATR) is one such gatekeeper, which signals through checkpoint kinase 1 (CHK1) and CHK2 to maintain replication fork stability and regulate the cell cycle. 63 In the phase II ATARI trial (NCT04065269), the ATR inhibitor (ATRi) ceralasertib is being tested alone and with olaparib in several gynaecological cancer types, including CCEC, EC and UCS. Preliminary results for all enrolled cancer types (ovarian, uterine and cervical) show the ORR for combination treatment was 24% for non-clear cell cancer types and 14% for clear cell carcinomas. 92 While trial results for the ATRIUM phase I trial (NCT05338346) are not available at the time of writing, the ATRi ATG-018 is being evaluated as a monotherapy for several advanced tumour types, including uterine cancers. WEE1 is another gatekeeper molecule, which plays a critical role in the DDR as a key regulator of the G2/M and S-phase checkpoints. 79 The WEE1 inhibitor adavosertib is being evaluated as a monotherapy in recurrent USC/UCS.93,94 While promising anti-tumour activity has been observed in phase II trials, including ORRs of 29.4% (NCT03668340) and 26.0% (NCT04590248), tolerability issues have been noted in the latter ADAGIO study.93,94

EGFR family

Within uterine malignancies, EGFR family alterations (ERBB1/EGFR, ERBB2/HER2 and ERBB3/HER3) exhibit distinct patterns between carcinomas and sarcomas. ERBB1 alterations are generally rare in both (refer to Tables 13); however, EGFR expression (non-mutant) is frequently observed.95,96 ERRB2 amplification is more frequent in uterine carcinomas than in sarcomas (refer to Table 2).

Small molecule inhibitors, including RTKi, targeting EGFR and HER2, have been explored in uterine cancers. Erlotinib and gefitinib are RTKi of EGFR, while lapatinib is an RTKi targeting both EGFR and HER2. In a phase II study (NCT00030485) of erlotinib in advanced/recurrent endometrial cancer, 59% were found to express EGFR by immunohistochemistry (IHC). 97 Of the EGFR-positive cases, 16% (3/19) achieved PR, compared with 12.5% (4/32) overall, suggesting no association with EGFR status. 97 Notably, no EGFR mutations were identified in responders and response was independent of gene amplification. 97 Phase II studies of gefitinib (NCT00027690) and lapatinib (NCT00096447) in persistent/recurrent endometrial cancer yielded similarly disappointing results, suggesting the need for alternative approaches (ClinicalTrials.gov identifier: NCT00096447). 98 100 mAbs targeting EGFR (cetuximab and panitumumab) and HER2 (trastuzumab and pertuzumab) have been, or are currently being investigated in EGFR and HER2-positive endometrial cancers, respectively. Trastuzumab monotherapy in a phase II trial (NCT00006089) for advanced/recurrent endometrial cancer yielded minimal benefit, with no objective tumour response observed (the best response was SD for 12/34 patients (35%)). 101 However, combining trastuzumab with carboplatin and paclitaxel in a phase II study (NCT01367002) for advanced/recurrent HER2-overexpressing USC significantly improved responses. 102 Overall median PFS was 12.9 months for the trastuzumab arm versus 8.0 months for the chemotherapy-alone arm. 102 The PFS benefit was most pronounced in first-line treatment for Stage III–IV disease, with a median PFS of 17.7 months for the trastuzumab arm versus 9.3 months for the chemotherapy-alone arm. 102 By contrast, only minimal benefit was observed in the relapsed setting. 102 This led to the current NRG-GY026 non-blinded, three-arm randomised phase II/III study evaluating the efficacy of trastuzumab and hyaluronidase-oysk or a fixed dose combination of pertuzumab, trastuzumab and hyaluronidase-zzxf in combination with paclitaxel/carboplatin in patients with HER2-positive USC or UCS (NCT05256225). 103

Antibody–drug conjugates (ADCs) are emerging as a therapeutic option, with their role in HER2-positive uterine malignancies currently under investigation. A more detailed discussion of these and other ADCs is included below.

PI3K/AKT/mTOR pathway

The PI3K/AKT/mTOR signalling axis is frequently dysregulated in uterine cancers, promoting uncontrolled growth and survival.13,34,46 Several clinical studies have examined inhibitors of this pathway.

The mTOR inhibitor (mTORi) temsirolimus was tested as a monotherapy in a phase II study (NCT00072176) of 33 patients, achieving a median PFS of 7.3 months and ORR of 13.8% in chemotherapy-naïve advanced/recurrent endometrial cancer, with outcomes being less favourable in previously treated patients (ClinicalTrials.gov identifier: NCT00072176). 104 Combining temsirolimus with bevacizumab in a phase II trial (NCT01010126) yielded a median OS of 11.5 months and ORR of 31% for the endometrial cancer cohort (ClinicalTrials.gov identifier: NCT01010126). 105 In a similar phase II trial (NCT00723255) combining temsirolimus with bevacizumab, the median OS was 16.9 months and the ORR was 24.5% in endometrial cancer patients (ClinicalTrials.gov identifier: NCT00723255). 106 The mTORi, everolimus, has been investigated in a phase II trial (NCT00087685), with SD being the best response observed (45% of endometrial cancer participants), suggesting temsirolimus may have greater activity than everolimus, at least in this setting. 107 These limited outcomes are likely attributable to the challenging patient profile, characterised by heavy pre-treatment and advanced-stage cancer.

Despite frequent aberrations in the PI3K/AKT/mTOR pathway in endometrial cancer, clinical responses to mTOR and PI3K inhibitors, as monotherapies or in combinations, have generally been modest. Two exceptions are the promising preliminary results from the phase I/II trial (NCT02208375) evaluating olaparib with either the mTORC1/2 inhibitor (mTORC1/2i), AZD2014, or the AKT inhibitor (AKTi), AZD5363, in gynaecological cancers (including endometrial carcinoma).108,109 The endometrial cancer cohort achieved ORRs of 44.4% for AZD2014 plus olaparib and an encouraging 50% for AZD5363 plus olaparib.108,109

MAPK pathway

Mutational activation of KRAS frequently occurs in several types of uterine cancer, including EC, UCS, CCEC and UAS (refer to Table 1). Inhibition of targets in the MAPK pathway is therefore clinically relevant for these cancer types, with various agents being assessed across a number of clinical trials. Despite this, several agents that target this pathway, including the MEK1/2 inhibitor (MEKi) selumetinib (AZD6244) and sorafenib (targeting MAPK pathway, VEGFR and PDGFR) have yielded underwhelming results in clinical trials evaluating these in uterine malignancies (NCT01011933, NCT00238121).110,111

A phase I study (NCT03905148) is currently evaluating the combination of lifirafenib (BGB-283; dual EGFR/RAF inhibitor) and mirdametinib (PD-0325901; MEKi) in several cancer types with BRAF and KRAS/NRAS aberrations, including some uterine cancers. 112 The results are of interest, with one uterine case achieving PR (1/7; 14.3%) and the remaining six experiencing SD (85.7%). 112

Additional trials (NCT04305249, NCT04985604 and ACTRN12620000861954) involving other inhibitors of the MAPK pathway (ATG-017, tovorafenib, pimasertib, vemurafenib and cobimetinib) are either ongoing or recently completed with results pending. 113

Antibody-drug conjugates

ADC-based delivery of a wide range of payloads is yielding outstanding results in various solid cancer types. 114 ADCs directed to HER2 via trastuzumab are being tested in clinical trials, either currently active or recently completed. Trastuzumab deruxtecan (T-DXd) delivers a topoisomerase I inhibitor payload (an exatecan derivative) to HER2-expressing cells. T-DXd monotherapy has demonstrated impressive activity in the DESTINY-PanTumor02 phase II trial (NCT04482309), with a 57.5% ORR for all endometrial tumours. 115 Responses were best for patients with higher tumour expression of HER2 (IHC 3+), achieving an ORR of 84.6%. 115 This has led to pan-tumour approval by the FDA in 2024.116,117

SYD985 is another HER2-targeting ADC, with trastuzumab bound to the DNA alkylating agent duocarmycin via a cleavable linker. 114 SYD985 was assessed in a phase II trial (NCT04205630) in patients with HER2-expressing (1+, 2+ or 3+ IHC scores) recurrent, advanced or metastatic endometrial carcinoma, reporting an ORR of 32.8% (ClinicalTrials.gov identifier: NCT04205630).

Combinations of HER2 ADCs and ICIs are also being explored. These were initially rationalised due to ADC-mediated stimulation of innate and adaptive immune responses, via increased antigen presentation, released micro-vesicles and induction of antibody-dependent cell-mediated cytotoxicity. 114 The HER2 targeting ADC, T-DM1, has been paired with the ICI, atezolizumab (PD-L1i), in the ongoing EndoMAP phase IB/II trial (NCT04486352) for recurrent/persistent endometrial cancer, alongside other biomarker-matched therapies (targeting AKT, VEGF, T-cell immunoreceptor with Ig and ITIM domains (TIGIT), PI3K or CDK4/6). BDC-1001 is an immunostimulatory ADC, or immune-stimulating antibody conjugate, which targets HER2 via a mAb (a trastuzumab biosimilar; EG12014) conjugated via a non-cleavable linker to a proprietary agonist of toll-like receptors 7 and 8. 118 BDC-1001 is being tested alone and with nivolumab (PD-1i) in a phase I/II trial (NCT04278144) in HER2-positive tumours (IHC 2+ or 3+), showing preliminary anti-tumour activity. 118 For all tumour types, there were two PR from the monotherapy cohort and three PR from the combination cohort; however, the best response achieved for patients with endometrial cancer was SD. 118 Several other HER2-ADCs (disitamab vedotin, NCT06003231; BL-M07D1, NCT06293898; BNT323/DB-1303, NCT06340568) have entered clinical trials for HER2-expressing uterine malignancies.

ADCs to targets other than HER2 are under investigation. Mirvetuximab soravtansine (MIRV, IMGN853) is based on a mAb targeting folate-receptor-a (FRa), attached via a cleavable disulfide linker to the cytotoxic payload maytansinoid DM4 and has received FDA approval in HGSOC. 114 In a phase I trial (NCT03552471), when combined with rucaparib, there was a 67% ORR in FRα-positive endometrial cancer (2/3 patients) and 50% ORR for all cohorts (6/12 patients; endometrial, ovarian, fallopian tube and primary peritoneal). 119 MIRV has also shown promising preliminary results in combination with the ICI, pembrolizumab (NCT03835819) and the anti-metabolite, gemcitabine (NCT02996825).120,121 The MIRV/gemcitabine combination was evaluated in ovarian carcinoma, TNBC and endometrial carcinoma in a phase I trial, with the endometrial cohort reporting an ORR of 50%. 120 The phase II trial combining MIRV and pembrolizumab has reported an ORR of 37.5%. 121 Other trials involving MIRV in uterine malignancies are also ongoing (NCT03832361, NCT06390995), with results eagerly anticipated.

Other novel ADCs include sacituzumab tirumotecan (also called Sac-TMT, SKB264 and MK-2870) and datopotamab deruxtecan, both targeting the trophoblast cell surface glycoprotein 2, which is highly expressed in the majority of endometrial and ovarian malignancies. 122 In a phase II trial (NCT04152499), Sac-TMT demonstrated a median PFS of 5.7 months and an ORR of 34.1% in advanced endometrial cancer. 123 Preliminary data from a phase II trial (NCT05489211) in endometrial and ovarian cancers revealed a median PFS of 6.3 months and an ORR of 27.5%. 124

Other targets

Selinexor (KPT-330) is an Exportin 1 (XPO1) inhibitor and has shown promise in endometrial cancer trials (NCT02025985, NCT03555422, NCT05611931).125127 XPO1 is overexpressed in uterine malignancies, where it exports tumour suppressor proteins, including p53. 128 Selinexor inhibits XPO1, leading to nuclear retention and stabilisation of p53, selectively killing TP53 wild-type (TP53wt) oncogenic cells. 128 A phase II trial (NCT02025985) reported a median PFS of just 2.8 months for selinexor monotherapy in the endometrial cancer cohort, but participants were not stratified by their tumours TP53 mutational status or histological subtype. 125 By contrast, two separate phase III trials (SIENDO, NCT05611931; XPORT-EC-042, NCT03555422) did stratify participants by TP53 status and subtype.126,127 In SIENDO, the median PFS for selinexor was 5.7 months (3.8 months for placebo) for all participants irrespective of TP53 status. 127 However, for TP53wt tumours, this increased to 13.7 months (3.7 months for placebo). 127 Results were even more impressive in the XPORT-EC-042 trial, which revealed a striking median PFS of 28.4 months for selinexor maintenance therapy in TP53wt endometrial cancer (compared to 5.2 months with placebo). 126 The substantial difference in PFS between the phase II and phase III studies likely stems from the phase II cohort’s lack of TP53 stratification, suggesting a higher proportion of TP53 mutant tumours, which respond poorly to selinexor. For all three studies, nearly all enrolled patients had received prior platinum-taxane chemotherapy, with Stage I and II disease being predominant for NCT02025985 and advanced disease being predominant in SIENDO and XPORT-EC-042.125127 While both SIENDO and XPORT-EC-042 comprised EC, USC and UCS subtypes, a greater proportion were EC type in XPORT-EC-042 relative to SIENDO (84.4% and 55.2%, respectively).126,127 As EC-type tumours are generally less aggressive than the other subtypes, 7 this likely explains the extended PFS observed in XPORT-EC-042.

Ribociclib (CDK4/6 inhibitor) and letrozole (oestrogen and gonadotropin inhibiting compound) were combined in a phase II trial (NCT02657928) for endometrial and ovarian cancers. Some activity was observed in endometrial cancer patients, particularly those with grade 1/2 tumours. While not all patient responses were provided, three (15%) endometrial patients were shown to have either complete response or PR, and median PFS was 5.4 months (ClinicalTrials.gov identifier: NCT02657928). 129

Larotrectinib, entrectinib and repotrectinib are tropomyosin receptor tyrosine kinase (TRK) inhibitors that have each received tumour-agnostic approval for use in solid tumours harbouring NTRK fusions. 116 Generally, NTRK fusions are reported to occur in less than 2% of uterine sarcomas, though they have been specifically noted in UUS in particular.59,130 These agents have yielded outstanding results in trials for other tumour types, even though uterine-specific malignancies are not yet included.131133 These impressive results suggest their clinical relevance for uterine sarcoma types harbouring NTRK fusions.

Discussion

Although the number of clinical trials available for patients with uterine malignancies has improved, these have mainly been limited to endometrial carcinomas. Clinical trial access for all types of uterine sarcoma significantly lags behind other gynaecological cancers, and despite recent improvements, has not kept pace with other, more common cancer types. Therefore, while new and effective therapeutic approaches have been highlighted for patients with endometrial carcinomas, there are few new options for patients with uterine sarcoma.

This review focuses on trials of targeted agents that have demonstrated efficacy for uterine malignancies. For many genomically matched therapies for endometrial carcinomas and for the majority of uterine sarcomas, it is necessary to report the outcomes of single-arm studies. Single-arm trials should only be considered as a trial design method when randomised controlled trials are not feasible, due to their limitations: without a parallel control group there may be biases in interpreting results; the use of external historical controls or contemporaneous cohort study controls introduces some bias as the subjects may not be comparable; without the principles of randomisation and blinding additional bias may be introduced.

Targeting HER2-positive endometrial carcinomas with HER2-targeted agents has demonstrated efficacy across several trials and will be particularly relevant for a significant proportion of endometrial carcinoma patients, particularly when HER2-low (IHC 1+) cases are included. Indeed, the impressive results from the DESTINY-PanTumor02 trial led to the FDA’s pan-tumour approval of the HER2 targeting ADC, T-DXd, in 2024. 114 This reflects a broader trend, with the FDA granting pan-tumour approvals to eight other agents.111,114 Notable examples relevant to uterine malignancies, including pembrolizumab and dostarlimab for MMRd tumours (frequently observed in endometrial carcinomas) and larotrectinib, entrectinib and repotrectinib for tumours with NTRK fusions (relevant for uterine sarcoma and UUS specifically). Such approvals are vital for uterine and rare gynaecological cancers, simplifying treatment access and minimising the reliance on rare subtype-specific trials.

Targeting TP53wt endometrial carcinomas with selinexor may also prove to be beneficial, with early data demonstrating it may be clinically relevant for patients who are not candidates for, or have progressed on other therapies. While therapies targeting the PI3K/AKT/mTOR pathway were expected to show promise due to the frequent and extensive aberrations of this pathway present in endometrial carcinomas, they have generally yielded modest clinical responses as both monotherapies and in combinations. An exception is the promising combination of the AKTi AZD5363 with the PARPi olaparib, which warrants further investigation in endometrial carcinomas given its encouraging initial results. Equally, this is warranted for uterine sarcomas, as they also frequently display somatic aberrations in the PI3K/AKT/mTOR axis, but patients are often precluded from entering relevant trials or were not included during trial enrolment, due to the rarity of these types. Trials involving anti-angiogenic and/or ICI combinations also demonstrated the potential of these therapeutic approaches, with promising responses observed, irrespective of MMR status. Indeed, the reporting of the four major molecular subgroups of endometrial carcinomas remains the highest priority, to clarify which patients are likely to benefit most from which treatments, followed by additional useful molecular markers, such as HER2, ER and others.

Acquired drug resistance continues to be a major obstacle in identifying effective targeted therapies and therapeutic combinations across uterine malignancies. As participants need to have received prior chemotherapy, and sometimes ICI with or without anti-angiogenic therapy, prior to being eligible for many clinical trials, mechanisms of pan-drug resistance may have been acquired prior to commencing therapy on a trial. This could mask the potential efficacy of therapeutic combinations, necessitating consideration of early exposure studies to improve the development of treatments for patients.

Conclusion

The treatment landscape for uterine malignancies is rapidly evolving, with targeted therapies offering increasingly personalised approaches and driving progress in patient outcomes. Increased pre-clinical and translational analyses are essential to enable new targets to be identified. The integration of targeted therapies, particularly ADCs, into standard clinical practice will undoubtedly transform the management of these complex malignancies, leading to more durable responses and improved quality of life for patients.

Acknowledgments

None.

Footnotes

Contributor Information

Joseph Polidano, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, VIC, Australia.

Andrew Jarratt, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, VIC, Australia.

Clare L. Scott, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, VIC, Australia; The Royal Women’s Hospital, Parkville, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.

Holly E. Barker, Cancer Biology and Stem Cells Division, Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, VIC, Australia.

Declarations

Ethics approval and consent to participate: Not applicable.

Consent for publication: Not applicable.

Author contributions: Joseph Polidano: Conceptualisation; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Validation; Writing – original draft; Writing – review & editing.

Andrew Jarratt: Formal analysis; Writing – review & editing.

Clare L. Scott: Formal analysis; Funding acquisition; Supervision; Validation; Writing – review & editing.

Holly E. Barker: Conceptualisation; Formal analysis; Funding acquisition; Project administration; Supervision; Validation; Writing – review & editing.

Funding: The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: The authors are supported by fellowships and grants from the Stafford Fox Medical Research Foundation (H.E.B., J.P., A.J. and C.L.S.); Victorian Cancer Agency (Mid-career fellowship MCRF23021 for H.E.B.); and National Health and Medical Research Council (NHMRC Australia; Investigator grant 2009783 for C.L.S.).

C.L.S. reports membership in advisory boards for AstraZeneca, Clovis Oncology, Roche, Eisai Inc., Sierra Oncology, Takeda, MSD, and GSK (no honoraria were received for any advisory boards); C.L.S., H.E.B., J.P. and A.J. report grant/research support from Eisai Inc., Sierra Oncology, BeiGene, Boehringer Ingelheim, Ideaya and AstraZeneca; C.L.S. reports travel support from AstraZeneca, Illumina, Takeda, Roche and MSD.

Availability of data and materials: Not applicable.

References

  • 1. Ferlay J, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015; 136: E359–E386. [DOI] [PubMed] [Google Scholar]
  • 2. Ameer MA, Fagan SE, Sosa-Stanley JN, et al. Anatomy, abdomen and pelvis: uterus. In: StatPearls. Treasure Island (FL): StatPearls Publishing LLC., 2025. [PubMed] [Google Scholar]
  • 3. Mahdy H, Vadakekut ES, Crotzer D. Endometrial cancer. In: StatPearls. Treasure Island (FL): StatPearls Publishing LLC., 2025. [PubMed] [Google Scholar]
  • 4. Eiriz I, Vitorino M, Gomes F, et al. Uterine sarcomas: a retrospective analysis of a cohort of 62 patients. Cureus 2021; 13: e13349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Bennett JA, et al. Uterine PEComas: a morphologic, immunohistochemical, and molecular analysis of 32 tumors. Am J Surg Pathol 2018; 42: 1370–1383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. D’Angelo E, Prat J. Uterine sarcomas: a review. Gynecol Oncol 2010; 116: 131–139. [DOI] [PubMed] [Google Scholar]
  • 7. Morice P, Leary A, Creutzberg C, et al. Endometrial cancer. Lancet 2016; 387: 1094–1108. [DOI] [PubMed] [Google Scholar]
  • 8. SEER Incidence Data. SEER explorer: an interactive website for SEER cancer statistics [Internet]. November 2022 submission (1975–2020), SEER 22 registries. Surveillance Research Program, National Cancer Institute, https://seer.cancer.gov/statistics-network/explorer/ (2023, accessed 18 March 2024). [Google Scholar]
  • 9. Pérez-Fidalgo JA, et al. Uterine sarcomas: clinical practice guidelines for diagnosis, treatment, and follow-up, by Spanish group for research on sarcomas (GEIS). Ther Adv Med Oncol 2023; 15: 17588359231157645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Oaknin A, et al. Endometrial cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 2022; 33: 860–877. [DOI] [PubMed] [Google Scholar]
  • 11. Benson C, Miah AB. Uterine sarcoma—current perspectives. Int J Womens Health 2017; 9: 597–606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Levine DA, et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013; 497: 67–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Bianco B, Barbosa CP, Trevisan CM, et al. Endometrial cancer: a genetic point of view. Transl Cancer Res 2020; 9: 7706–7715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Wang Y, et al. Genomic comparison of endometrioid endometrial carcinoma and its precancerous lesions in Chinese patients by high-depth next generation sequencing. Front Oncol 2019; 9: 123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Tan MH, et al. Lifetime cancer risks in individuals with germline PTEN mutations. Clin Cancer Res 2012; 18: 400–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Ashley CW, et al. Analysis of mutational signatures in primary and metastatic endometrial cancer reveals distinct patterns of DNA repair defects and shifts during tumor progression. Gynecol Oncol 2019; 152: 11–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. McConechy MK, et al. Use of mutation profiles to refine the classification of endometrial carcinomas. J Pathol 2012; 228: 20–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bogani G, et al. Uterine serous carcinoma. Gynecol Oncol 2021; 162: 226–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Noske A, et al. Detection of CCNE1/URI (19q12) amplification by in situ hybridisation is common in high grade and type II endometrial cancer. Oncotarget 2017; 8: 14794–14805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Konopka B, et al. PIK3CA mutations and amplification in endometrioid endometrial carcinomas: relation to other genetic defects and clinicopathologic status of the tumors. Human Pathol 2011; 42: 1710–1719. [DOI] [PubMed] [Google Scholar]
  • 21. de Jonge MM, et al. Frequent homologous recombination deficiency in high-grade endometrial carcinomas. Clin Cancer Res 2019; 25: 1087–1097. [DOI] [PubMed] [Google Scholar]
  • 22. Kadan Y, et al. Impact of BRCA mutations on outcomes among patients with serous endometrial cancer. Int J Gynecol Obstet 2018; 142: 91–96. [DOI] [PubMed] [Google Scholar]
  • 23. Turashvili G, et al. Tumor BRCA testing in high grade serous carcinoma: mutation rates and optimal tissue requirements. Cancers (Basel) 2020; 12: 3468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Jones NL, et al. Identification of potential therapeutic targets by molecular profiling of 628 cases of uterine serous carcinoma. Gynecol Oncol 2015; 138: 620–626. [DOI] [PubMed] [Google Scholar]
  • 25. Nasioudis D, et al. Molecular landscape of ERBB2/HER2 gene amplification among patients with gynecologic malignancies; clinical implications and future directions. Gynecol Oncol 2024; 180: 1–5. [DOI] [PubMed] [Google Scholar]
  • 26. Zhao S, et al. Landscape of somatic single-nucleotide and copy-number mutations in uterine serous carcinoma. Proc Natl Acad Sci U S A 2013; 110: 2916–2921. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Brodeur MN, et al. ERBB2 mutations define a subgroup of endometrial carcinomas associated with high tumor mutational burden and the microsatellite instability-high (MSI-H) molecular subtype. Mol Oncol 2024; 18: 2356–2368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Mori S, et al. Genomic alterations in gynecological malignancies: histotype-associated driver mutations, molecular subtyping schemes, and tumorigenic mechanisms. J Hum Genet 2021; 66: 853–868. [DOI] [PubMed] [Google Scholar]
  • 29. Kuhn E, et al. Frequent CCNE1 amplification in endometrial intraepithelial carcinoma and uterine serous carcinoma. Mod Pathol 2014; 27: 1014–1019. [DOI] [PubMed] [Google Scholar]
  • 30. Marshall AD, et al. CTCF genetic alterations in endometrial carcinoma are pro-tumorigenic. Oncogene 2017; 36: 4100–4110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Jones S, et al. Genomic analyses of gynaecologic carcinosarcomas reveal frequent mutations in chromatin remodelling genes. Nat Commun 2014; 5: 5006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. McConechy MK, et al. In-depth molecular profiling of the biphasic components of uterine carcinosarcomas. J Pathol Clin Res 2015; 1: 173–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Soliman PT, et al. Everolimus, letrozole, and metformin in women with advanced or recurrent endometrioid endometrial cancer: a multi-center, single arm, phase II study. Clin Cancer Res 2020; 26: 581–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Cherniack AD, et al. Integrated molecular characterization of uterine carcinosarcoma. Cancer Cell 2017; 31: 411–423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Zhao S, et al. Mutational landscape of uterine and ovarian carcinosarcomas implicates histone genes in epithelial–mesenchymal transition. Proc Natl Acad Sci U S A 2016; 113: 12238–12243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Nasioudis D, et al. Next generation sequencing reveals a high prevalence of pathogenic mutations in homologous recombination DNA damage repair genes among patients with uterine sarcoma. Gynecol Oncol 2023; 177: 14–19. [DOI] [PubMed] [Google Scholar]
  • 37. Kilowski KA, et al. KRAS mutations in endometrial cancers: possible prognostic and treatment implications. Gynecol Oncol 2024; 191: 299–306. [DOI] [PubMed] [Google Scholar]
  • 38. DeLair DF, et al. The genetic landscape of endometrial clear cell carcinomas. J Pathol 2017; 243: 230–241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Hoang LN, et al. Targeted mutation analysis of endometrial clear cell carcinoma. Histopathology 2015; 66: 664–674. [DOI] [PubMed] [Google Scholar]
  • 40. An H-J, Logani S, Isacson C, et al. Molecular characterization of uterine clear cell carcinoma. Mod Pathol 2004; 17: 530–537. [DOI] [PubMed] [Google Scholar]
  • 41. Nigon E, et al. Clinical, pathological, and comprehensive molecular analysis of the uterine clear cell carcinoma: a retrospective national study from TMRG and GINECO network. J Transl Med 2023; 21: 408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Zhang Z-m, et al. The clinicopathologic significance of the loss of BAF250a (ARID1A) expression in endometrial carcinoma. Int J Gynecol Cancer 2014; 24: 534–540. [DOI] [PubMed] [Google Scholar]
  • 43. Mota A, et al. Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression. Oncogene 2022; 41: 1835–1850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Cancer Genome Atlas Research Network. Comprehensive and integrated genomic characterization of adult soft tissue sarcomas. Cell 2017; 171: 950–965.e28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. da Costa LT, et al. The mutational repertoire of uterine sarcomas and carcinosarcomas in a Brazilian cohort: a preliminary study. Clinics 2021; 76, e2324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Ban Y, et al. Whole-genome sequencing and target validation analysis of müllerian adenosarcoma: a tumor with complex but specific genetic alterations. Front Oncol 2020; 10: 538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Harold J, et al. BAY1895344, a novel ataxia telangiectasia and RAD3-related (ATR) inhibitor, is active in vivo against ATRX mutated uterine leiomyosarcoma (212). Gynecol Oncol 2022; 166: S118. [Google Scholar]
  • 48. Hensley ML, et al. Genomic landscape of uterine sarcomas defined through prospective clinical sequencing. Clin Cancer Res 2020; 26: 3881–3888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Chudasama P, et al. Integrative genomic and transcriptomic analysis of leiomyosarcoma. Nat Commun 2018; 9: 144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Dall G, et al. Targeting homologous recombination deficiency in uterine leiomyosarcoma. J Exp Clin Cancer Res 2023; 42: 112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Seligson ND, et al. BRCA1/2 functional loss defines a targetable subset in leiomyosarcoma. Oncologist 2019; 24: 973–979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Choi J, et al. Integrated mutational landscape analysis of uterine leiomyosarcomas. Proc Natl Acad Sci U S A 2021; 118: e2025182118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Wang Q, et al. Uterine adenosarcoma: a case report and review of the literature. Am J Nucl Med Mol Imaging 2023; 13: 70–76. [PMC free article] [PubMed] [Google Scholar]
  • 54. Lee J-C, et al. Genomewide copy number analysis of Müllerian adenosarcoma identified chromosomal instability in the aggressive subgroup. Mod Pathol 2016; 29: 1070–1082. [DOI] [PubMed] [Google Scholar]
  • 55. Geyer FC, et al. Genetic analysis of uterine adenosarcomas and phyllodes tumors of the breast. Mol Oncol 2017; 11: 913–926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Howitt BE, et al. Targeted genomic analysis of Müllerian adenosarcoma. J Pathol 2015; 235: 37–49. [DOI] [PubMed] [Google Scholar]
  • 57. Seki A, et al. Amplification of the mdm-2 gene and p53 abnormalities in uterine sarcomas. Int J Cancer 1997; 73: 33–37. [DOI] [PubMed] [Google Scholar]
  • 58. Kang N, et al. Genomic and transcriptomic characterization revealed the high sensitivity of targeted therapy and immunotherapy in a subset of endometrial stromal sarcoma. Cancer Res Treat 2023; 55: 978–991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Chiang S, et al. NTRK fusions define a novel uterine sarcoma subtype with features of fibrosarcoma. Am J Surg Pathol 2018; 42: 791–798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Akumalla S, et al. Characterization of clinical cases of malignant PEComa via comprehensive genomic profiling of DNA and RNA. Oncology 2020; 98: 905–912. [DOI] [PubMed] [Google Scholar]
  • 61. El-Ghazzi N, Durando X, Giro A, et al. Targeted treatment of advanced endometrial cancer: focus on pembrolizumab. Onco Targets Ther 2023; 16: 359–369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Adashek JJ, Kato S, Sicklick JK, et al. Considering molecular alterations as pan-cancer tissue-agnostic targets. Nat Cancer 2023; 4: 1622–1626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Cheng B, et al. Recent advances in DDR (DNA damage response) inhibitors for cancer therapy. Eur J Med Chem 2022; 230: 114109. [DOI] [PubMed] [Google Scholar]
  • 64. O’Connor MJ. Targeting the DNA damage response in cancer. Mol Cell 2015; 60: 547–560. [DOI] [PubMed] [Google Scholar]
  • 65. RAINBO Research Consortium. Refining adjuvant treatment in endometrial cancer based on molecular features: the RAINBO clinical trial program. Int J Gynecol Cancer 2023; 33: 109–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Mirza MR, et al. VP2-2023: dostarlimab + chemotherapy for the treatment of primary advanced or recurrent (A/R) endometrial cancer (EC): a placebo (PBO)-controlled randomised phase III trial (ENGOT-EN6-NSGO/GOG-3031/RUBY). Ann Oncol 2023; 34: 500–501. [Google Scholar]
  • 67. Costa A, et al. Molecular insights in endometrial stromal sarcomas: exploring new targets for novel therapeutic approaches. Biomolecules 2025; 15(2): 265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Seagle B-LL, Shilpi A, Buchanan S, et al. Low-grade and high-grade endometrial stromal sarcoma: a National Cancer Database study. Gynecol Oncol 2017; 146: 254–262. [DOI] [PubMed] [Google Scholar]
  • 69. Parvez A, et al. PD-1 and PD-L1: architects of immune symphony and immunotherapy breakthroughs in cancer treatment. Front Immunol 2023; 14: 1296341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Ott PA, et al. Safety and antitumor activity of pembrolizumab in advanced programmed death ligand 1-positive endometrial cancer: results from the KEYNOTE-028 study. J Clin Oncol 2017; 35: 2535–2541. [DOI] [PubMed] [Google Scholar]
  • 71. O’Malley DM, et al. Pembrolizumab in patients with microsatellite instability-high advanced endometrial cancer: results from the KEYNOTE-158 study. J Clin Oncol 2022; 40: 752–761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Oaknin A, et al. Safety, efficacy, and biomarker analyses of dostarlimab in patients with endometrial cancer: interim results of the phase I GARNET study. Clin Cancer Res 2023; 29: 4564–4574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Barber EL, et al. Clinical and biological activity of chemoimmunotherapy in advanced endometrial adenocarcinoma: a phase II trial of the Big Ten Cancer Research Consortium. Cancer Res Commun 2022; 2: 1293–1303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Eskander RN, et al. Pembrolizumab plus chemotherapy in advanced endometrial cancer. N Engl J Med 2023; 388: 2159–2170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Powell MA, et al. Overall survival in patients with endometrial cancer treated with dostarlimab plus carboplatin-paclitaxel in the randomized ENGOT-EN6/GOG-3031/RUBY trial. Ann Oncol 2024; 35: 728–738. [DOI] [PubMed] [Google Scholar]
  • 76. Makker V, et al. A phase Ib/II study of lenvatinib and pembrolizumab in advanced endometrial carcinoma (study 111/KEYNOTE-146): long-term efficacy and safety update. J Clin Oncol 2023; 41: 974–979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Makker V, et al. Lenvatinib plus pembrolizumab for advanced endometrial cancer. N Engl J Med 2022; 386: 437–448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Kaya M, et al. The RAINBO MMRd-GREEN trial (GCIG/DGOG/ENGOT-EN142): a phase III trial on the addition of adjuvant durvalumab to radiotherapy in patients with high-risk MMRd endometrial cancer. J Clin Oncol 2023; 41, TPS5633. [Google Scholar]
  • 79. Ngoi NY, Sundararajan V, Tan DS. Exploiting replicative stress in gynecological cancers as a therapeutic strategy. Int J Gynecol Cancer 2020; 30: 1224–1238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Lord CJ, Ashworth A. PARP inhibitors: synthetic lethality in the clinic. Science 2017; 355: 1152–1158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Zou Y, et al. Clinical approaches to overcome PARP inhibitor resistance. Mol Cancer 2025; 24: 156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Jackson CC, et al. A phase II trial of bevacizumab and rucaparib in recurrent carcinoma of the cervix or endometrium. J Clin Oncol 2021; 39: 5527–5527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Madariaga A, et al. Clinical outcome and biomarker assessments of a multi-centre phase II trial assessing niraparib with or without dostarlimab in recurrent endometrial carcinoma. Nat Commun 2023; 14: 1452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Post CCB, et al. Efficacy and safety of durvalumab with olaparib in metastatic or recurrent endometrial cancer (phase II DOMEC trial). Gynecol Oncol 2022; 165: 223–229. [DOI] [PubMed] [Google Scholar]
  • 85. Stewart RA, Pilié PG, Yap TA. Development of PARP and immune-checkpoint inhibitor combinations. Cancer Res 2018; 78: 6717–6725. [DOI] [PubMed] [Google Scholar]
  • 86. Bradley WH, et al. An open label, nonrandomized, multisite phase II trial combining bevacizumab, atezolizumab, and rucaparib for the treatment of previously treated recurrent and progressive endometrial cancer. J Clin Oncol 2022; 40: 5510–5510. [Google Scholar]
  • 87. Konstantinopoulos PA, et al. Evaluation of treatment with talazoparib and avelumab in patients with recurrent mismatch repair proficient endometrial cancer. JAMA Oncol 2022; 8: 1317–1322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Westin SN, et al. Durvalumab plus carboplatin/paclitaxel followed by maintenance durvalumab with or without olaparib as first-line treatment for advanced endometrial cancer: the phase III DUO-E trial. J Clin Oncol 2024; 42: 283–299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Mirza MR, et al. 38MO Progression-free survival (PFS) in primary advanced or recurrent endometrial cancer (pA/rEC) in the overall and mismatch repair proficient (MMR/MSS) populations and in histological and molecular subgroups: results from part 2 of the RUBY trial. ESMO Open 2024; 9: 103538. [Google Scholar]
  • 90. Piffoux M, et al. Olaparib combined to metronomic cyclophosphamide and metformin in women with recurrent advanced/metastatic endometrial cancer: the ENDOLA phase I/II trial. Nat Commun 2025; 16: 1821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Clamp AR, et al. 407-COPELIA: a 3-arm randomised phase II trial of weekly paclitaxel with or without cediranib or olaparib with cediranib in recurrent endometrial cancer. Int J Gynecol Cancer 2024; 34: A17–A18. [Google Scholar]
  • 92. Banerjee S, et al. 34O ATR inhibitor alone (ceralasertib) or in combination with olaparib in gynaecological cancers with ARID1A loss or no loss: results from the ENGOT/GYN1/NCRI ATARI trial. ESMO Open 2023; 8: 100814. [Google Scholar]
  • 93. Liu JF, et al. Phase II study of the WEE1 inhibitor adavosertib in recurrent uterine serous carcinoma. J Clin Oncol 2021; 39: 1531–1539. [DOI] [PubMed] [Google Scholar]
  • 94. Liu JF, et al. ADAGIO: a phase IIb, open-label, single-arm, multicenter study assessing the efficacy and safety of adavosertib (AZD1775) as treatment for recurrent or persistent uterine serous carcinoma. J Clin Oncol 2025; 43(26): 2897–2907. [DOI] [PubMed] [Google Scholar]
  • 95. Konecny GE, et al. HER2 gene amplification and EGFR expression in a large cohort of surgically staged patients with nonendometrioid (type II) endometrial cancer. Br J Cancer 2009; 100: 89–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Reyes HD, et al. Comprehensive profiling of EGFR/HER receptors for personalized treatment of gynecologic cancers. Mol Diagn Ther 2014; 18: 137–151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Oza AM, et al. Phase II study of erlotinib in recurrent or metastatic endometrial cancer: NCIC IND-148. J Clin Oncol 2008; 26: 4319–4325. [DOI] [PubMed] [Google Scholar]
  • 98. Leslie KK, et al. A phase II evaluation of gefitinib in the treatment of persistent or recurrent endometrial cancer: a Gynecologic Oncology Group study. Gynecol Oncol 2013; 129: 486–494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Leslie KK, et al. Lapatinib and potential prognostic value of EGFR mutations in a Gynecologic Oncology Group phase II trial of persistent or recurrent endometrial cancer. Gynecol Oncol 2012; 127: 345–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Garcia AA, et al. A phase II evaluation of lapatinib in the treatment of persistent or recurrent epithelial ovarian or primary peritoneal carcinoma: a Gynecologic Oncology Group study. Gynecol Oncol 2012; 124: 569–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Fleming GF, et al. Phase II trial of trastuzumab in women with advanced or recurrent, HER2-positive endometrial carcinoma: a Gynecologic Oncology Group study. Gynecol Oncol 2010; 116: 15–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Fader AN, et al. Randomized phase II trial of carboplatin-paclitaxel compared with carboplatin-paclitaxel-trastuzumab in advanced (stage III–IV) or recurrent uterine serous carcinomas that overexpress Her2/Neu (NCT01367002): updated overall survival analysis. Clin Cancer Res 2020; 26: 3928–3935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Erickson BK, et al. Phase II/III study of paclitaxel/carboplatin alone or combined with either trastuzumab and hyaluronidase-oysk or pertuzumab, trastuzumab, and hyaluronidase-zzxf in HER2 positive, stage I–IV endometrial serous carcinoma or carcinosarcoma (NRG-GY026). J Clin Oncol 2024; 42: TPS5641. [Google Scholar]
  • 104. Tinker AV, et al. Phase II study of temsirolimus (CCI-779) in women with recurrent, unresectable, locally advanced or metastatic carcinoma of the cervix. A trial of the NCIC Clinical Trials Group (NCIC CTG IND 199). Gynecol Oncol 2013; 130: 269–274. [DOI] [PubMed] [Google Scholar]
  • 105. Morgan R., et al. A phase II trial of temsirolimus and bevacizumab in patients with endometrial, ovarian, hepatocellular carcinoma, carcinoid, or islet cell cancer: Ovarian cancer (OC) subset - A study of the Princess Margaret, Mayo, Southeast phase II, and California Cancer (CCCP) N01 Consortia NCI#8233. J Clin Oncol 2011; 29: 5015. [Google Scholar]
  • 106. Alvarez EA, et al. Phase II trial of combination bevacizumab and temsirolimus in the treatment of recurrent or persistent endometrial carcinoma: a Gynecologic Oncology Groupstudy. Gynecol Oncol 2013; 129: 22–27. [DOI] [PubMed] [Google Scholar]
  • 107. Slomovitz BM, et al. A phase 2 study of the oral mammalian target of rapamycin inhibitor, everolimus, in patients with recurrent endometrial carcinoma. Cancer 2010; 116: 5415–5419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Westin SN, et al. Phase I trial of olaparib (PARP inhibitor) and vistusertib (mTORC1/2 inhibitor) in recurrent endometrial, ovarian and triple negative breast cancer. J Clin Oncol 2018; 36: 5504. [Google Scholar]
  • 109. Westin SN, et al. Phase Ib dose expansion and translational analyses of olaparib in combination with capivasertib in recurrent endometrial, triple-negative breast, and ovarian cancer. Clin Cancer Res 2021; 27: 6354–6365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Coleman RL, et al. A phase II evaluation of selumetinib (AZD6244, ARRY-142886), a selective MEK-1/2 inhibitor in the treatment of recurrent or persistent endometrial cancer: an NRG Oncology/Gynecologic Oncology Group study. Gynecol Oncol 2015; 138: 30–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Nimeiri HS, et al. A phase II study of sorafenib in advanced uterine carcinoma/carcinosarcoma: a trial of the Chicago, PMH, and California Phase II Consortia. Gynecol Oncol 2010; 117: 37–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Desai J, et al. Phase I, open-label, dose-escalation/dose-expansion study of lifirafenib (BGB-283), an RAF family kinase inhibitor, in patients with solid tumors. J Clin Oncol 2020; 38: 2140–2150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Wahlroos S, et al. Results of a first-in-human, dose-escalation phase 1 study of the ERK1/2 inhibitor ATG-017 in patients with advanced solid tumors. J Clin Oncol 2024; 42: e15114. [Google Scholar]
  • 114. Wang R, et al. Antibody-drug conjugates (ADCs): current and future biopharmaceuticals. J Hematol Oncol 2025; 18: 51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Meric-Bernstam F, et al. Efficacy and safety of trastuzumab deruxtecan in patients with HER2-expressing solid tumors: primary results from the DESTINY-PanTumor02 phase II trial. J Clin Oncol 2023; 42: 47–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Westphalen CB, et al. The ESMO tumour-agnostic classifier and screener (ETAC-S): a tool for assessing tumour-agnostic potential of molecularly guided therapies and for steering drug development. Ann Oncol 2024; 35: 936–953. [DOI] [PubMed] [Google Scholar]
  • 117. Nguyen K, Fama K, Mercado G, et al. Histology agnostic drug development: an updated review. Cancers (Basel) 2024; 16: 3642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Li BT, et al. A phase 1/2 study of a first-in-human immune-stimulating antibody conjugate (ISAC) BDC-1001 in patients with advanced HER2-expressing solid tumors. J Clin Oncol 2023; 41: 2538–2538. [Google Scholar]
  • 119. Backes F, et al. Phase I study of mirvetuximab soravtansine (MIRV) and rucaparib for recurrent endometrial, platinum-resistant ovarian, fallopian tube or primary peritoneal cancer. Gynecol Oncol 2021; 162, S68–S69. [DOI] [PubMed] [Google Scholar]
  • 120. Cristea MC, et al. 863P A phase I study of mirvetuximab soravtansine (MIRV) and gemcitabine (G) in pts with selected FRα-positive solid tumours: Results in the endometrial cancer (EC) cohort. Ann Oncol 2020; 31: S639. [Google Scholar]
  • 121. Porter RL, et al. Abstract CT008: a phase 2, two-stage study of mirvetuximab soravtansine (IMGN853) in combination with pembrolizumab in patients with microsatellite stable (MSS) recurrent or persistent endometrial cancer. Cancer Res 2024; 84: CT008. [Google Scholar]
  • 122. Sideris M, et al. The role of KRAS in endometrial cancer: a mini-review. Anticancer Res 2019; 39: 533–539. [DOI] [PubMed] [Google Scholar]
  • 123. Wang D, et al. 715MO Safety and efficacy of sacituzumab tirumotecan (sac-TMT) in patients (pts) with previously treated advanced endometrial carcinoma (EC) and ovarian cancer (OC) from a phase II study. Ann Oncol 2024; 35, S548. [Google Scholar]
  • 124. Janjigian YY, et al. TROPION-PanTumor03: phase 2, multicenter study of datopotamab deruxtecan (Dato-DXd) as monotherapy and in combination with anticancer agents in patients (pts) with advanced/metastatic solid tumors. J Clin Oncol 2023; 41: TPS3153. [Google Scholar]
  • 125. Vergote IB, et al. Phase 2 study of the Exportin 1 inhibitor selinexor in patients with recurrent gynecological malignancies. Gynecol Oncol 2020; 156: 308–314. [DOI] [PubMed] [Google Scholar]
  • 126. Makker V, et al. Long-term follow-up of efficacy and safety of selinexor maintenance treatment in patients with TP53wt advanced or recurrent endometrial cancer: a subgroup analysis of the ENGOT-EN5/GOG-3055/SIENDO study. Gynecol Oncol 2024; 185: 202–211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Vergote I, et al. Oral selinexor as maintenance therapy after first-line chemotherapy for advanced or recurrent endometrial cancer. J Clin Oncol 2023; 41: 5400–5410. [DOI] [PubMed] [Google Scholar]
  • 128. Fung HY, Chook YM. Atomic basis of CRM1-cargo recognition, release and inhibition. Semin Cancer Biol 2014; 27: 52–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129. Colon-Otero G, et al. Phase II trial of ribociclib and letrozole in patients with relapsed oestrogen receptor-positive ovarian or endometrial cancers. ESMO Open 2020; 5: e000926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Rosen EY, et al. TRK fusions are enriched in cancers with uncommon histologies and the absence of canonical driver mutations. Clin Cancer Res 2020; 26: 1624–1632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Hong DS, et al. Larotrectinib long-term efficacy and safety in adult patients (pts) with tropomyosin receptor kinase (TRK) fusion cancer. J Clin Oncol 2023; 41: 3141. [Google Scholar]
  • 132. Krzakowski MJ, et al. Updated analysis of the efficacy and safety of entrectinib in patients (pts) with locally advanced/metastatic NTRK fusion-positive (NTRK-fp) solid tumors. J Clin Oncol 2022; 40: 3099.35759726 [Google Scholar]
  • 133. Solomon BJ, et al. 1372P Repotrectinib in patients (pts) with NTRK fusion-positive (NTRK+) advanced solid tumors, including NSCLC: update from the phase I/II TRIDENT-1 trial. Ann Oncol 2023; 34: S787–S788. [Google Scholar]

Articles from Therapeutic Advances in Medical Oncology are provided here courtesy of SAGE Publications

RESOURCES