European Journal of Gynaecological Oncology,2025,46(3):1-7 DOI:10.22514/ejgo.2025.030
Review
Potential targeted therapies for ovarian cancer beyond PARP inhibitors
Yagmur Sisman1,2,*,, Dan Høgdall3, Tine Henrichsen Schnack4, Claus Høgdall2, Estrid Høgdall1

1Department of Pathology, Copenhagen University Hospital—Herlev Hospital, 2730 Herlev, Denmark

2Department of Gynecology, Copenhagen University Hospital—Rigshospitalet, 2100 Copenhagen, Denmark

3Department of Oncology, Copenhagen University Hospital—Herlev Hospital, 2730 Herlev, Denmark

4Department of Gynecology, Odense University Hospital, 5000 Odense, Denmark

*Corresponding Author(s):yagmur.sisman@regionh.dk (Yagmur Sisman)

History Submitted: 03 June 2024 | Accepted: 15 August 2024 | Published: 15 March 2025
Copyright:  ©2025 The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

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Abstract

This review aimed to investigate the clinical utility of next-generation sequencing (NGS) in treating high-grade serous ovarian cancer (HGSC) with targeted therapies other than Poly (ADP-ribose) polymerase (PARP) inhibitors. The search was performed in PubMed and Embase. The literature search combined screening the reference sections of relevant studies. A total of 1882 studies were screened, and 6 case reports met the inclusion criteria. The patients were treated with trametinib, crizotinib, alectinib, a protein kinase B (AKT) inhibitor, everolimus-letrozole or trastuzumab-pertuzumab. A partial response was observed in patients (n = 3) treated with trametinib, crizotinib or trastuzumab-pertuzumab. One patient treated with alectinib had a complete response, while the patients (n = 2) treated with AKT inhibitor or everolimus-letrozole had stable disease and progressive disease. The results suggest that NGS may have a role in identifying effective targeted therapies for patients diagnosed with HGSC. Further research, including basket trials, is needed to confirm the results.

Keywords:Ovarian neoplasm;Ovarian epithelial cancer;Genetic testing;Precision medicine;Target therapy
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Cite this article

Yagmur Sisman, Dan Høgdall, Tine Henrichsen Schnack, Claus Høgdall, Estrid Høgdall. Potential targeted therapies for ovarian cancer beyond PARP inhibitors.European Journal of Gynaecological Oncology,2025,46(3):1-7 DOI:10.22514/ejgo.2025.030

1. Introduction

Ovarian cancer is the fifth most common cause of cancer death in women. It is a highly heterogeneous disease predominantly characterized by epithelial tumors, which can be classified into four main histological subtypes: serous-, endometrioid-, mucinous- and clear cell carcinomas. In some cases, mixed histological features are observed within these tumors. High-grade serous ovarian carcinoma (HGSC) is the most frequent and lethal histological subtype of epithelial ovarian cancers [1, 2, 3].

The standard treatment of HGSC includes surgical cytoreduction and platinum-based chemotherapy with the addition of bevacizumab for cases diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage IV disease or with residual disease. PARP inhibitors are used as maintenance treatment in patients responding to first-line platinum-based chemotherapy. Despite this multimodal approach, approximately 80% will relapse and die from the disease [4, 5, 6]. Therefore, the development of new therapies remains an urgent and unmet need.

HGSC is characterized by significant molecular heterogeneity [7, 8]. The most common genetic and molecular alterations in HGSC include mutations in TP53, Breast Cancer gene 1 (BRCA1), BRCA2, and homologous recombination deficiency (HRD). Consequently, recent guidelines from the National Comprehensive Cancer Network (NCCN) Clinical Practice Guideline in Oncology (NCCN Guidelines®) and European Society for Medical Oncology (ESMO) recommend upfront germline and somatic testing for BRCA1/2 mutations and HRD in HGSC patients [9, 10]. The clinic routinely uses these changes to select platin sensitive patients for PARP inhibitors [4, 9]. However, there is currently no approved therapy specifically targeting TP53 mutations [11, 12].

Various studies have identified several other pathogenic mutations in HGSC beyond the commonly recognized ones [7, 8]. This molecular heterogeneity presents considerable challenges for treatment, underscoring the necessity for personalized approaches in managing the disease on individual basis. Comprehensive genomic profiling is essential to identify druggable targets and tailor treatment strategies [13, 14, 15]. While this heterogeneity complicates treatment, it also offers opportunities for developing personalized and more effective therapeutic strategies. Understanding the diverse nature of HGSC is crucial for improving patient outcomes, as clinical management remains challenging due to high recurrence rates.

Next-generation sequencing (NGS) addresses these challenges by enabling the sequencing of a high number of nucleotides in a short time frame at an affordable cost. This allows identification of druggable targets within a tumor. By integrating NGS data with clinical information, oncologists can offer personalized treatments tailored to the genetic profile of each patient’s tumor. This approach not only enhances the efficacy of the treatment but may also minimizes adverse effects by avoiding ineffective therapies [13, 15]. Moreover, NGS generates an extensive amount of data by sequencing the cancer genome. This comprehensive information is important for the development of new therapies, as it provides insights into mechanisms driving tumorigenesis and potential therapeutic targets. The data obtained through NGS enable a more nuanced understanding of the disease, enabling innovative treatment strategies. Additionally, NGS plays a critical role in patient stratification for clinical trials. By analyzing genetic profiles, NGS helps identify patients who are most likely to benefit from new treatments. This stratification ensures that clinical trials include appropriate patient populations, enhancing successful outcomes and the development of effective therapies [16, 17]

This review aims to overview whether NGS-based results may support information on targeted therapies other than PARP inhibitors in patients diagnosed with HGSC.

2. Method

The search in PubMed and Embase was performed on 22 April 2023 (Fig. 1). The search criteria were “high grade serous ovarian cancer”, “ovarian cancer”, “tubal cancer”, “fallopian tube cancer”, “peritoneal cancer”, “targeted therapy”, “precision medicine”, “personalized medicine” and “druggable targets”. The literature search combined screening the reference sections of relevant studies, adding one study. Furthermore, Clinicaltrials.gov and the basket trials Targeted Agent and Profiling Utilization Registry Study (TAPUR) and ComboMATCH were screened [18, 19]. The screening was performed independently by two persons. There was no disagreement about which studies should be included. In total, 1882 studies were screened, and the full text of for-ty-one studies was reviewed. Inclusion criteria were clinical trials, including case reports, in HGSC patients who received targeted therapies with targets identified using NGS. Required reported outcomes were objective response rates, progression-free survival (PFS) or overall survival (OS). Patients who received treatment with PARP inhibitors were excluded, except in cases where the patients were heavily pretreated, provided no other targeted therapies were used concurrently with PARP inhibitors. Studies in languages other than English, Danish, Swedish or Norwegian were excluded (Fig. 1). The PRISMA statement for reviews was followed [20].

Flow diagram of the literature search in PubMed and Embase 
database performed 22 April 2022.

Fig. 1.Flow diagram of the literature search in PubMed and Embase database performed 22 April 2022.

3. Overview of the publications

A total of six studies were included describing NGS targeted treatment in 6 patients. The cases were treated with trametinib, crizotinib, alectinib, AKT inhibitor, everolimus-letrozole and trastuzumab-pertuzumab. A partial response (PR) was observed in patients treated with trametinib, crizotinib or trastuzumab. The patient treated with alectinib had a complete response (CR). In contrast, the patients treated with AKT inhibitor or everolimus-letrozole had stable (SD) and progressive diseases (PD), respectively.

A case report by Cappuccio et al. [21] described a case of a 50-year-old woman who was diagnosed with advanced HGSC (Table 1, Ref. [21, 22, 23, 24, 25, 26]). The molecular profiling of the tumor identified a Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation, which indicates a response to mitogen-activated extracellular signal-regulated kinase (MEK) inhibitors such as trametinib [27]. Trametinib acts downstream of KRAS to suppress signaling through the mitogen-activated protein kinase (MAPK) cascade and has been approved in combination with dabrafenib for treating BRAF600E mutated anaplastic thyroid cancer, non-small cell lung cancer (NSCLC), and melanoma (dailymed.nlm.nih.gov accessed 10 December 2022). The patient was heavily pretreated with chemotherapy, bevacizumab and PARP inhibitors. Oral treatment with trametinib was initiated, and the computerized tomography (CT) scan evaluations after three and six months confirmed PR and SD, according to the Response Evaluation Criteria in Solid Tumors (RECIST), respectively. After eight months of treatment, the patient had disease progression, and trametinib was discontinued.

Table 1.Summary of included studies.
PopulationTargetTherapyOutcome
Cappuccio et al. [21] Case report50-year-old, HGSC stage IIIC.MAPK pathway (KRAS mutation)Trametinib (MEK inhibitor)Partial response (3 mon) Stable disease (6 mon)
Dong et al. [22] Case report69-year-old, HGSC stage IIIC.GOPC-ROS1 fusionCrizotinib (ROS1 tyrosine kinase inhibitor)Partial response
Hui et al. [23] Case report53-year-old, Chinese, HGSC stage IIb.EML4-ALK fusionAlectinib (ALK inhibitor)Partial response (1 mon) Complete response (4 mon)
Lee et al. [24] Phase II trialHGSC (n = 1)PIK3CA mutationTAS-117 (AKT inhibitor)Stable disease
Sawada et al. [25] Case report41-year-old, HGSC stage IVB.NF1 lossEverolimus (mTOR inhibitor) LetrozoleProgressive disease
Thouvenin et al. [26] Case report46-year-old, Caucasian, HGSC stage IV, BRCAwtERBB2 amplificationTrastuzumab-pertuzumab (HER2 inhibitor)Partial response

ALK: Anaplastic Lymphoma Kinase; AKT: Protein Kinase B; BRCAwt: Breast Cancer wild type; EML4-ALK: echinoderm microtubule-associated protein-like 4 gene with the anaplastic lymphoma kinase gene; ERBB2: Erb-B2 Receptor Tyrosine Kinase 2; GOPC-ROS1: golgi-associated PDZ and coiled-coil motif-containing protein gene with the c-ros oncogene 1 gene; HER2: Human Epidermal Growth Factor Receptor 2; KRAS: Kirsten rat sarcoma viral oncogene homolog; MAPK: mitogen-activated protein kinase; MEK: mitogen-activated extracellular signal-regulated kinase; NF1: Neurofibromin 1; mTOR: Mammalian Target of Rapamycin; PIK3CA: Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha; HGSC: high-grade serous ovarian cancer.

The case report by Dong et al. [22] presented a 69-year-old patient with advanced platin-based treatment refractory HGSC. NGS-based testing of 1021 cancer-related genes was performed, identifying a golgi-associated PDZ and coiled-coil motif-containing protein gene with the c-ros oncogene 1 gene (GOPC-ROS1) fusion. Crizotinib was administered orally, which functions as a protein kinase inhibitor and is used as a first-line treatment of advanced ROS1-positive NSCLC (dailymed.nlm.nih.gov accessed 10 December). After one month of treatment, the CT scan evaluation confirmed PR, according to RECIST. Only two months of follow-up were reported, awaiting long-term follow-up by authors.

Hui et al. [23] presented a case report with a 53-year-old Chinese woman with advanced HGSC pretreated with plati-num-based chemotherapy and bevacizumab. The primary tumor was analyzed using NGS with a panel consisting of 425 cancer-associated genes. The results showed an echinoderm microtubule-associated protein-like 4 gene with the anaplastic lymphoma kinase gene (EML4-ALK) fusion. Rearrangement of the ALK gene is a potent carcinogenic driver in some cancers, especially ALK fusion-positive NSCLC, showing significant clinical response to ALK inhibitors [28]. The patient was treated with alectinib, an ALK inhibitor. PR was achieved after one month, and CR after four months. The response continued for a year without adverse events; with the last follow-up in January 2020, imaging and Cancer Antigen 125 (CA125) indicated no signs of disease relapse.

Lee et al. [24] conducted a retrospective study of 84 ovarian cancer patients where tumor tissue underwent NGS. Seven cases received targeted therapy based on the sequencing results. Five received PARP inhibitors, and one patient with LGSC received a PD-1 inhibitor. One patient fulfilled the inclusion criteria for our review as she had HGSC with a Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) mutation. The Phosphatidylinositol 3-Kinase/Protein Kinase B/Mechanistic Target of Rapamycin (PI3K/AKT/mTOR) signaling pathway plays a role in cell proliferation, cell cycle, apoptosis and cancer cell metabolism [29]. This pathway is one of the most frequently aberrantly regulated pathways in human tumors [30], why inhibiting this pathway may clinically benefit patients harboring mutations in genes associated with this pathway. Therefore, the patient was treated with the AKT inhibitor TAS-117 for two months and achieved SD.

Sawada et al. [25] treated a 41-year-old patient with advanced-stage HGSC disease. The sequencing of 160 can-cer-related genes revealed that the patient had a neurofibromin 1 (NF1) loss. Loss-of-function mutations in the NF1 tumor suppressor gene lead to constitutive mTOR signaling. As such, she received everolimus, an mTOR inhibitor, in combination with letrozole, an aromatase inhibitor, since the combination has been synergistic in advanced endometrial cancer [31]. The patient progressed during treatment.

Thouvenin et al. [26] published a case report about a 46-year-old woman diagnosed with advanced-stage ovarian cancer. She was pretreated with neoadjuvant platinum-based chemotherapy followed by palliative chemotherapy with doxorubicin. NGS using a 409 gene panel, did not find any actionable mutations, but the copy number analysis showed amplification of the 17q12 chromosomal region containing Erb-B2 Receptor Tyrosine Kinase 2 (ERBB2), also known as Human Epidermal Growth Factor Receptor 2 (HER2). ERBB2 is amplified in 15–20% of patients with breast cancer and was associated with poor prognosis until the advent of HER2-directed therapies [32]. Therefore, treatment with the anti-HER2 agents trastuzumab and pertuzumab was initiated. After three months, the radiologic assessment showed SD. PR lasted until thirty-seven months of treatment, where disease progression prompted a multidisciplinary tumor board, resulting in a decision to continue trastuzumab and pertuzumab supplemented with radiotherapy.

4. Discussion

In this review, we screened 1882 studies resulting in 6 case reports matching our inclusion criteria. We aimed to report the clinical utility of NGS-based potential targeted therapies in HGSC excluding PARP inhibition. A total of six studies were included, each describing NGS used to suggest targeted therapy in six patients with HGSC. The cases involved various targeted therapies: trametinib, crizotinib, alectinib, an AKT inhibitor, everolimus-letrozole and trastuzumab-pertuzumab. Among these, PR were observed in patients treated with trametinib, crizotinib or trastuzumab, while CR was noted in the patient treated with alectinib, according to RECIST [33]. In contrast, the patient treated with an AKT inhibitor had SD, and the patient treated with everolimus-letrozole experienced PD. These cases underscore the heterogeneity of HGSC and the varied responses to targeted therapies. They highlight the importance of understanding the biological significance of these targets and the mechanisms of resistance to optimize treatment strategies and improve patient outcomes.

To our knowledge, no previous reviews have evaluated targeted therapies, beyond PARP inhibitors, with druggable targets identified by NGS in ovarian HGSC patients. In a recent study from our research group, we used NGS to identify known druggable targets and potential targeted therapies in 128 HGSC patients [8]. The mutational profiles were characterized using Oncomine™ Comprehensive Assay (OCAv3). Overall, 27 (21%) had druggable targets. Most of these patients (n = 25) were potentially eligible for PARP inhibitors. Only five patients (4%) had other druggable targets in the Epidermal Growth Factor Receptor (EGFR), MutS Homolog 2 (MSH2), MutL Homolog 1 (MLH1), PIK3CA, and Fibroblast Growth Factor Receptor 3 (FGFR3) genes. Thus, based solely on their NGS findings, they were potential candidates for targeted therapies other than PARP, such as tyrosine kinase inhibitors, immuno-therapy, alpesilib in combination with hormone therapy, and erdafitinib. Our analysis also reported mutations in the KRAS (n = 3) and NF1 (n = 10) genes. However, as we defined druggable targets as genetic alterations class 4 or 5 according to the American College of Medical Genetics and Genomics (ACMG) classification [34], these chans were not considered druggable in our study.

Other studies have investigated the potential of known targeted therapies through large international basket trials. In the WINTHER trial, 107 patients were prospectively treated according to findings from either DNA sequencing (n = 69) or RNA expression (n = 38) [35]. The most common diagnoses were colon, head, neck and lung cancers. No ovarian cancer patients were included. The rate of SD ≥6 months and PR or CR was 26.2%. PFS of targeted treatment compared with the individual patient’s latest treatment was 22.4% and did not meet the pre-specified primary endpoint. Fewer prior therapies, better performance status, and higher matching scores correlated with longer PFS. All patients were heavily pretreated, which may have affected the response rates.

A key focus in the future is to include ovarian cancer patients in extensive basket trials such as the WINTHER trial and investigate the efficacy of targeted therapies on a broader scale in this patient group rather than solely individual cases [35, 36, 37, 38]. Examples of trials that involve ovarian cancer patients are the large national basket trials, such as National Cancer Institute (NCI)-MATCH (US) and ProTarget (DK). In basket trials, patients all receive the same treatment that targets the specific mutation or biomarker found in their cancer. NCI-MATCH was launched in August 2015 by NCI and Eastern Cooperative Oncology Group-American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group (https://ecog-acrin.org/clinical-trials/eay131-nci-match-precision-medicine/nci-match-eay131-findings/ accessed February 2023). Tumor biopsy specimens from 5954 patients with refractory malignancies were analyzed using NGS. Patients with actionable targets were assigned to one of thirty phase II subprotocols. The assignment rate for ovarian cancer was 14% (n = 75), and fifty assigned patients received treatment in a subprotocol. Unfortunately, the druggable targets for ovarian cancer divided by histological subtypes are not specified [38]. However, the results are published continuously, and the details and results from ovarian cancer patients will be specified in these studies. In the present study, we reviewed the available publications from NCI-MATCH. None of them included HGSC patients.

The ProTarget study is an ongoing Danish nationwide clinical phase II trial on targeted cancer treatment based on genomic profiling (NCT04341181). Twelve drugs are being investigated in ten arms, and patients are followed for standard toxicity and outcomes, including tumor response, PFS, and OS. Interestingly two arms investigate the use of alectinib and trastuzumab-pertuzumab, which were also described in two cases that responded in the present review. The trial is estimated to end in April 2025.

Some meta-analyses have demonstrated that biomarker-driven trials have better outcomes than trials lacking bi-omarkers [39, 40, 41]. However, not all patients’ tumors have actionable DNA/RNA alterations. Thus, extending the application of precision medicine requires a deeper understanding of cancer biology. Exploring oncogenic mechanisms beyond DNA alterations, such as RNA expression, is needed. A phase 2 trial (NCT02203513) published in Nature demonstrated the relevance of RNA sequencing to identify signaling pathways that might correlate with Checkpoint Kinase 1 (CHK1) inhibitor resistance or response [42]. Transcriptomic analysis revealed high levels of DNA Polymerase Alpha 1 (POLA1), DNA Polymerase Epsilon (POLE) and GINS Complex Subunit 3 (GINS3) genes were associated with lack of clinical benefit.

However, somatic testing with NGS requires implementation as part of the daily routine [43, 44]. Physicians need to familiarize themselves with the various testing modalities for NGS in collaboration with the pathological and mo-lecular departments [13, 45, 46]. Collaborative approaches, such as molecular tumor boards, that use a multi-disciplinary approach to assess patient factors and genomic information to make recommendations for patients not responding to standard-of-care therapy. Recent studies have shown improved response rates based on recommendations by molecular tumor boards [47, 48, 49]. Moreover, as the use of NGS-based technologies to find targets for biological treatment in HGSC are increasing, it becomes crucial to understand the biological significance of these targets in ovarian cancer pathogenesis and their resistance mechanisms.

Only a few studies were found to treat HGSC patients with targeted therapies other than PARP inhibitors. This un-deniably calls into question whether targeted therapies beyond PARP inhibitors can benefit HGSC patients. HGSC is a genomically heterogeneous disease with few mutations that recur among patients [7]. Yet, most HGSC patients have a TP53 mutation and efficient treatments targeting TP53 may improve the treatment of HGSC remarkably. APR-246 is a drug that reactivates mutant p53 encoded by TP53 in cancer cells [50, 51]. The effect of APR-246 has yet to be examined in large clinical trials. A phase 1/2 multicenter study is ongoing to assess the efficacy of PC14586, an oral, small molecule p53 reactivator that is selective for the TP53 Y220C mutation (PYNNACLE). Although only a few patients have this specific mutation, it points toward new perspectives and directions in the future treatment of HGSC.

Our review has several strengths. Firstly, two independent researchers with knowledge of ovarian cancer conducted a literature review with predefined outcomes. Secondly, to reduce reviewer bias, we used objective and reproducible criteria to select relevant publications. However, despite adhering to the PRISMA guidelines and using consistent outcomes for study inclusion, there were notable differences among the patients included. The age of patients varied significantly, ranging from 41 to 69 years. Additionally, none of the patients received the same targeted therapy, nor did they possess similar druggable targets. This variability highlights the heterogeneity of HGSC and underscores the challenges in standard treatment approaches. Thirdly, case reporting offers the advantage of detecting novelties, presenting unusual uncontrolled observations, and formulating new hypotheses. Lastly, when it is not possible to enroll enough patients in randomized controlled trials for rare actionable targets, research on targeted therapies should be based on less rigorous methodologies, such as case reports and basket trials summarized in systematic reviews [52, 53, 54].

We might have missed relevant studies because we only searched for basket trials that mentioned ovarian cancer in their abstract. Moreover, the included studies were all case reports where the population of ovarian cancer patients was not described. Thus, the studies were all without statistical power and possible negative results were not presented. Therefore, generalization is not possible, as it requires a cause-effect relationship and a representative population. Furthermore, publication bias may be another limiting factor, as journals and authors tend to favor positive outcome findings, especially case reports [55]. Lastly, the falsification criterion within science, tested by repeating an experiment, cannot be applied to case reports.

5. Conclusions

The precision medicines focus on ovarian cancer patients with HGSC has been PARP inhibitors due to the promising results obtained. However, there is an unmet need for novel treatment strategies for patients who are not candidates for PARP inhibitor treatment, not least in the recurrent setting. In this review, different targeted therapies have demonstrated a response in patients with HGSC. Based on our study, it appears that HGSC patients could potentially benefit from an expanded molecular characterization including both DNA and RNA sequencing analysis. However, the current state of knowledge in this field is limited, making it challenging to evaluate current and future targeted therapies. Therefore, further studies and basket trials are needed to validate the efficacy of targeted therapies in ovarian cancer patients with HGSC.

Availability of data and materials

Data is contained within the article.

Author contributions

YS—contributed to the conceptualization, literature search, literature review, and writing (original draft, figure preparation, and editing). DH—contributed to the conceptualization, literature search, literature review, and writing (review and editing). THS—contributed to conceptualization and writing (review and editing). CH—contributed to the conceptualization and writing (review and editing). EH—contributed to the conceptualization, writing (design of study, review and editing). All authors have read and agreed to the published version of the manuscript.

Ethics approval and consent to participate

Not applicable.

Acknowledgment

Not applicable.

Funding

This research received a grant from The Research Council at Herlev Copenhagen University Hospital.

Conflict of interest

The authors declare no conflict of interest.

References

Lheureux S, Gourley C, Vergote I, Oza AM. Epithelial ovarian cancer. The Lancet. 2019; 393: 1240–1253.

[Google Scholar]

Webb PM, Jordan SJ. Global epidemiology of epithelial ovarian cancer. Nature Reviews Clinical Oncology. 2024; 21: 389–400.

[Google Scholar]

Konstantinopoulos PA, Matulonis UA. Clinical and translational advances in ovarian cancer therapy. Nature Cancer. 2023; 4: 1239–1257.

[Google Scholar]

Ledermann JA, Raja FA, Fotopoulou C, Gonzalez-Martin A, Colombo N, Sessa C; ESMO Guidelines Working Group. Newly diagnosed and relapsed epithelial ovarian carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology. 2013; 24: vi24–vi32.

[Google Scholar]

Sambasivan S. Epithelial ovarian cancer: review article. Cancer Treatment and Research Communications. 2022; 33: 100629.

[Google Scholar]

Armstrong DK, Alvarez RD, Backes FJ, Bakkum-Gamez JN, Barroilhet L, Behbakht K, et al. NCCN Guidelines® Insights: ovarian cancer, version 3. 2022. Journal of the National Comprehensive Cancer Network. 2022; 20: 972–980.

[Google Scholar]

Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature. 2011; 474: 609–615.

[Google Scholar]

Sisman Y, Vestergaard LK, de Oliveira DNP, Poulsen TS, Schnack TH, Høgdall C, et al. Potential targeted therapies in ovarian cancer. Pharmaceuticals. 2022; 15: 1324.

[Google Scholar]

Liu J, Berchuck A, Backes FJ, Cohen J, Grisham R, Leath CA, et al. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines). Ovarian cancer including fallopian tube cancer and primary peritoneal cancer, version 3. 2024. Available at: https://www.nccn.org/professionals/physician_gls/pdf/ovarian.pdf (Accessed: 15 January 2025).

[Google Scholar]

Colombo N, Ledermann JA; ESMO Guidelines Committee. Updated treatment recommendations for newly diagnosed epithelial ovarian carcinoma from the ESMO Clinical Practice Guidelines. Annals of Oncology. 2021; 32: 1300–1303.

[Google Scholar]

Armstrong DK. New therapies for ovarian cancer. Journal of the National Comprehensive Cancer Network. 2018; 16: 632–635.

[Google Scholar]

Wang H, Guo M, Wei H, Chen Y. Targeting p53 pathways: mechanisms, structures, and advances in therapy. Signal Transduction and Targeted Therapy. 2023; 8: 92.

[Google Scholar]

Vestergaard LK, Oliveira DNP, Høgdall CK, Høgdall EV. Next generation sequencing technology in the clinic and its challenges. Cancers. 2021; 13: 1751.

[Google Scholar]

Wessman S, Fuentes BB, Törngren T, Kvist A, Kokaraki G, Menkens H, et al. Precision oncology of high-grade ovarian cancer defined through targeted sequencing. Cancers. 2021; 13: 5240.

[Google Scholar]

Harbin LM, Gallion HH, Allison DB, Kolesar JM. Next generation sequencing and molecular biomarkers in ovarian cancer—an opportunity for targeted therapy. Diagnostics. 2022; 12: 842.

[Google Scholar]

Zhou Y, Tao L, Qiu J, Xu J, Yang X, Zhang Y, et al. Tumor biomarkers for diagnosis, prognosis and targeted therapy. Signal Transduction and Targeted Therapy. 2024; 9: 132.

[Google Scholar]

Hu T, Chitnis N, Monos D, Dinh A. Next-generation sequencing technologies: an overview. Human Immunology. 2021; 82: 801–811.

[Google Scholar]

Targeted Agent & Profiling Utilization Registry (TAPUR) Study. 2024. Available at: https://www.asco.org/research-data/tapur-study (Accessed: 22 May 2024).

[Google Scholar]

American Society of Clinical Oncology. ComboMATCH Precision Medicine Clinical Trials. 2024. Available at: https://www.cancer.gov/research/infrastructure/clinical-trials/nci-supported/combomatch (Accessed: 22 May 2024).

[Google Scholar]

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. The BMJ. 2021; 372: n71.

[Google Scholar]

Cappuccio S, Distefano MG, Ghizzoni V, Fagotti A, Scambia G. Trametinib response in heavily pretreated high-grade ovarian cancer: one step towards precision medicine. Gynecologic Oncology Reports. 2020; 32: 100547.

[Google Scholar]

Dong D, Shen G, Da Y, Zhou M, Yang G, Yuan M, et al. Successful treatment of patients with refractory high-grade serous ovarian cancer with GOPC-ROS1 fusion using crizotinib: a case report. Oncologist. 2020; 25: e1720–e1724.

[Google Scholar]

Hui B, Zhang J, Shi X, Xing F, Shao YW, Wang Y, et al. EML4-ALK, a potential therapeutic target that responds to alectinib in ovarian cancer. Japanese Journal of Clinical Oncology. 2020; 50: 1470–1474.

[Google Scholar]

Lee YJ, Kim D, Kim HS, Na K, Lee JY, Nam EJ, et al. Integrating a next generation sequencing panel into clinical practice in ovarian cancer. Yonsei Medical Journal. 2019; 60: 914–923.

[Google Scholar]

Sawada K, Nakayama K, Nakamura K, Yoshimura Y, Razia S, Ishikawa M, et al. Clinical outcomes of genotype-matched therapy for recurrent gynecological cancers: a single institutional experience. Healthcare. 2021; 9: 1395.

[Google Scholar]

Thouvenin L, Charrier M, Clement S, Christinat Y, Tille JC, Frigeri M, et al. Ovarian cancer with high-level focal ERBB2 amplification responds to trastuzumab and pertuzumab. Gynecologic Oncology Reports. 2021; 37: 100787.

[Google Scholar]

Gershenson DM, Miller A, Brady WE, Paul J, Carty K, Rodgers W, et al. Trametinib versus standard of care in patients with recurrent low-grade serous ovarian cancer (GOG 281/LOGS): an international, randomised, open-label, multicentre, phase 2/3 trial. The Lancet. 2022; 399: 541–553.

[Google Scholar]

Camidge DR, Dziadziuszko R, Peters S, Mok T, Noe J, Nowicka M, et al. Updated efficacy and safety data and impact of the EML4-ALK fusion variant on the efficacy of alectinib in untreated ALK-positive advanced non-small cell lung cancer in the global phase III ALEX study. Journal of Thoracic Oncology. 2019; 14: 1233–1243.

[Google Scholar]

Altomare DA, Testa JR. Perturbations of the AKT signaling pathway in human cancer. Oncogene. 2005; 24: 7455–7464.

[Google Scholar]

Forbes SA, Beare D, Boutselakis H, Bamford S, Bindal N, Tate J, et al. COSMIC: somatic cancer genetics at high-resolution. Nucleic Acids Research. 2017; 45: D777–D783.

[Google Scholar]

Slomovitz BM, Filiaci VL, Walker JL, Taub MC, Finkelstein KA, Moroney JW, et al. A randomized phase II trial of everolimus and letrozole or hormonal therapy in women with advanced, persistent or recurrent endometrial carcinoma: a GOG Foundation study. Gynecologic Oncology. 2022; 164: 481–491.

[Google Scholar]

Kunte S, Abraham J, Montero AJ. Novel HER2-targeted therapies for HER2-positive metastatic breast cancer. Cancer. 2020; 126: 4278–4288.

[Google Scholar]

Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). European Journal of Cancer. 2009; 45: 228–247.

[Google Scholar]

Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al; ACMG Laboratory Quality Assurance Committee. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genetics in Medicine. 2015; 17: 405–424.

[Google Scholar]

Rodon J, Soria JC, Berger R, Miller WH, Rubin E, Kugel A, et al. Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial. Nature Medicine. 2019; 25: 751–758.

[Google Scholar]

Hobbs BP, Pestana RC, Zabor EC, Kaizer AM, Hong DS. Basket trials: review of current practice and innovations for future trials. Journal of Clinical Oncology. 2022; 40: 3520–3528.

[Google Scholar]

Murciano-Goroff YR, Uppal M, Chen M, Harada G, Schram AM. Basket trials: past, present, and future. Annual Review of Cancer Biology. 2024; 8: 59–80.

[Google Scholar]

Flaherty KT, Gray RJ, Chen AP, Li S, Mcshane LM, Patton D, et al. Molecular landscape and actionable alterations in a genomically guided cancer clinical trial: national cancer institute molecular analysis for therapy choice (NCI-MATCH). Journal of Clinical Oncology. 2020; 38: 3883–3894.

[Google Scholar]

Jardim DL, Schwaederle M, Wei C, Lee JJ, Hong DS, Eggermont AM, et al. Impact of a biomarker-based strategy on oncology drug development: a meta-analysis of clinical trials leading to FDA approval. Journal of the National Cancer Institute. 2015; 107: djv253.

[Google Scholar]

Schwaederle M, Zhao M, Lee JJ, Lazar V, Leyland-Jones B, Schilsky RL, et al. Association of biomarker-based treatment strategies with response rates and progression-free survival in refractory malignant neoplasms: a meta-analysis. JAMA Oncology. 2016; 2: 1452–1459.

[Google Scholar]

Schwaederle M, Zhao M, Lee JJ, Eggermont AM, Schilsky RL, Mendelsohn J, et al. Impact of precision medicine in diverse cancers: a meta-analysis of phase ii clinical trials. Journal of Clinical Oncology. 2015; 33: 3817–3825.

[Google Scholar]

Giudice E, Huang TT, Nair JR, Zurcher G, McCoy A, Nousome D, et al. The CHK1 inhibitor prexasertib in BRCA wild-type platinum-resistant recurrent high-grade serous ovarian carcinoma: a phase 2 trial. Nature Communications. 2024; 15: 2805.

[Google Scholar]

Konstantinopoulos PA, Lacchetti C, Annunziata CM. Germline and somatic tumor testing in epithelial ovarian cancer: ASCO guideline summary. JCO Oncology Practice. 2020; 16: e835–e838.

[Google Scholar]

Yin Y, Butler C, Zhang Q. Challenges in the application of NGS in the clinical laboratory. Human Immunology. 2021; 82: 812–819.

[Google Scholar]

Larson NB, Oberg AL, Adjei AA, Wang L. A clinician’s guide to bioinformatics for next-generation sequencing. Journal of Thoracic Oncology. 2023; 18: 143–157.

[Google Scholar]

Schmid S, Jochum W, Padberg B, Demmer I, Mertz KD, Joerger M, et al. How to read a next-generation sequencing report—what oncologists need to know. ESMO Open. 2022; 7: 100570.

[Google Scholar]

Larson KL, Huang B, Weiss HL, Hull P, Westgate PM, Miller RW, et al. Clinical outcomes of molecular tumor boards: a systematic review. JCO Precision Oncology. 2021; 5: PO.20.00495.

[Google Scholar]

Huang B, Chen Q, Allison D, El Khouli R, Peh KH, Mobley J, et al. Molecular tumor board review and improved overall survival in non-small-cell lung cancer. JCO Precision Oncology. 2021; 5: PO.21.00210.

[Google Scholar]

Tsimberidou AM, Kahle M, Vo HH, Baysal MA, Johnson A, Meric-Bernstam F. Molecular tumour boards—current and future considerations for precision oncology. Nature Reviews Clinical Oncology. 2023; 20: 843–863.

[Google Scholar]

Lambert JM, Gorzov P, Veprintsev DB, Söderqvist M, Segerbäck D, Bergman J, et al. PRIMA-1 reactivates mutant p53 by covalent binding to the core domain. Cancer Cell. 2009; 15: 376–388.

[Google Scholar]

Mohell N, Alfredsson J, Fransson Å, Uustalu M, Byström S, Gullbo J, et al. APR-246 overcomes resistance to cisplatin and doxorubicin in ovarian cancer cells. Cell Death & Disease. 2015; 6: e1794.

[Google Scholar]

Nissen T, Wynn R. The clinical case report: a review of its merits and limitations. BMC Research Notes. 2014; 7: 264.

[Google Scholar]

Kasim A, Bean N, Hendriksen SJ, Chen TT, Zhou H, Psioda MA. Basket trials in oncology: a systematic review of practices and methods, comparative analysis of innovative methods, and an appraisal of a missed opportunity. Frontiers in Oncology. 2023; 13: 1266286.

[Google Scholar]

Fountzilas E, Tsimberidou AM, Vo HH, Kurzrock R. Clinical trial design in the era of precision medicine. Genome Medicine. 2022; 14: 101.

[Google Scholar]

Easterbrook PJ, Berlin JA, Gopalan R, Matthews DR. Publication bias in clinical research. The Lancet. 1991; 337: 867–872.

[Google Scholar]