Background: Ovarian and endometrial cancers are among the most prevalent gynaecological malignancies, with significant morbidity and mortality. Recent advancements in molecular biology have emphasized the role of genetic mutations in tumorigenesis and disease progression. Objective: To investigate the contribution of key genetic mutations, including BRCA1/2, PTEN, TP53, and mismatch repair (MMR) genes, in the development and progression of ovarian and endometrial cancers. Methods: A retrospective molecular profiling study was conducted on 220 biopsy-confirmed cases of ovarian and endometrial cancers. Next-generation sequencing (NGS) was used to identify germline and somatic mutations. Statistical correlations were drawn between mutation profiles, clinical staging, and patient outcomes. Results: BRCA1/2 mutations were present in 38% of high-grade serous ovarian cancers. PTEN loss and mutations in PI3K/AKT/mTOR pathway genes were detected in 46% of endometrial carcinomas. TP53 mutations were associated with poor prognosis in both cancer types. Defective MMR genes were present in 21% of endometrial cancers, linked with microsatellite instability (MSI) and early onset.
Conclusion: Genetic mutations significantly influence the development and clinical course of ovarian and endometrial cancers. Genetic profiling should be integrated into standard care for early diagnosis, risk assessment, and personalized treatment strategies.
Gynaecological cancers, particularly ovarian and endometrial cancers, represent a significant health burden worldwide. While lifestyle, hormonal, and environmental factors contribute to their etiology, genetic mutations are now recognized as key drivers of carcinogenesis.
In ovarian cancer, high-grade serous carcinoma (HGSC) accounts for the majority of cases and is strongly linked to BRCA1/2 mutations. Similarly, endometrial cancer subtypes exhibit unique genetic landscapes, with PTEN, PIK3CA, and MMR gene mutations playing critical roles. The integration of genomic data into clinical decision-making holds promise for risk stratification, early detection, and targeted therapy.
This study aims to analyze the spectrum and impact of specific genetic mutations in ovarian and endometrial cancers using next-generation sequencing (NGS) to determine their roles in disease onset, progression, and prognosis
Study Design and Population
This retrospective cohort study included 220 women diagnosed with ovarian or endometrial cancer between January 2020 and December 2023 across three tertiary care centers.
Inclusion Criteria
Molecular Analysis
NGS was performed on FFPE tissue samples using a 50-gene cancer panel. Key genes assessed included:
Clinical Correlation
Patient data including age, cancer stage, grade, treatment response, and survival outcomes were collected and correlated with mutation profiles.
Statistical Analysis
Chi-square tests, Kaplan-Meier survival curves, and multivariate Cox regression models were used to assess significance (p<0.05 considered significant).
Tables and Inference: Gynaecological Cancers and Genetics
Table 1: Distribution by Age and Cancer Type
Age Group |
Ovarian Cancer (n=120) |
Endometrial Cancer (n=100) |
<40 |
20 |
30 |
40–59 |
56 |
45 |
≥60 |
44 |
25 |
Inference:
Endometrial cancer was more frequent in women below 40 years compared to ovarian cancer, which peaked in the 40–59 age group.
Table 2: Genetic Mutation Frequency by Cancer Type
Gene Mutated |
Ovarian Cancer (%) |
Endometrial Cancer (%) |
BRCA1 |
21.7 |
0.0 |
BRCA2 |
16.7 |
0.0 |
TP53 |
54.2 |
29.0 |
PTEN |
3.3 |
38.0 |
PIK3CA |
5.0 |
36.0 |
MMR Genes |
0.0 |
21.0 |
Inference:
BRCA mutations were exclusive to ovarian cancer, while PTEN and MMR mutations dominated in endometrial cancer.
Table 3: MSI Status in Endometrial Cancer
MSI Status |
Frequency (n=100) |
MSI-High |
18 |
MSI-Low |
3 |
MSI-Stable |
79 |
Inference:
Microsatellite instability (MSI-High) was present in 18% of endometrial cancers, suggesting MMR deficiency and potential for immunotherapy responsiveness.
Table 4: Survival Rates Based on Mutation Status
Mutation Status |
Median OS (months) |
BRCA-mutated |
38 |
BRCA wild-type |
29 |
TP53-mutated |
22 |
MMR-deficient |
35 |
Inference:
BRCA mutation was associated with improved survival in ovarian cancer, while TP53 mutation indicated poorer prognosis.
Table 5: Stage at Diagnosis by Mutation Type
Mutation Type |
Stage I-II (%) |
Stage III-IV (%) |
BRCA |
30 |
70 |
TP53 |
15 |
85 |
PTEN |
55 |
45 |
MMR |
65 |
35 |
Inference:
Early-stage diagnosis was more common in patients with MMR and PTEN mutations, compared to those with BRCA or TP53 mutations.
Microsatellite Instability (MSI)
Survival Outcomes (Median 3-year follow-up)
This study confirms the substantial contribution of hereditary and somatic mutations in the genesis and progression of ovarian and endometrial cancers.
Mutations in BRCA1/2 disrupt DNA repair via homologous recombination, leading to genomic instability and increased carcinogenesis. We observed BRCA mutations in 38% of high-grade serous ovarian cancers—comparable to rates reported in other studies [1,2]. These patients demonstrated better responses to PARP inhibitors, supporting existing therapeutic guidelines [3].
The TP53 tumor suppressor gene was mutated in over half of ovarian cancers and one-third of endometrial cancers. TP53 alterations typically indicate aggressive disease and poor prognosis, in line with prior literature [4,5].
PTEN loss, often early in tumorigenesis, was the most common mutation in endometrial cancer (38%). Along with PIK3CA, these mutations activate the PI3K/AKT/mTOR pathway, promoting cell survival and growth [6,7]. Clinical trials targeting this pathway show promising results in recurrent endometrial cancer [8].
MMR gene mutations (MLH1, MSH2, MSH6, PMS2) were identified in 21% of endometrial cancers, associated with microsatellite instability (MSI). These findings support universal screening for Lynch syndrome, a hereditary cancer syndrome linked to MMR gene mutations [9,10].
The integration of genetic data into clinical workflows is critical. Genetic counseling, risk-reducing surgery, and targeted therapies (e.g., PARP inhibitors, immune checkpoint inhibitors) can significantly alter patient trajectories. Furthermore, early detection in mutation carriers may enhance survival.
Genetic mutations play a central role in the pathogenesis and progression of ovarian and endometrial cancers. Incorporating genomic profiling into routine care enables personalized treatment, improved surveillance, and preventive strategies, especially in patients with inherited syndromes or aggressive disease.