Efficacy and Safety of PD-1/PD-L1 Inhibitor as Single-Agent Immunotherapy in Endometrial Cancer: A Systematic Review and Meta-Analysis

The Histomorphology to Molecular Transition: Exploring the Genomic Landscape of Poorly Differentiated Epithelial Endometrial Cancers

The peremptory need to circumvent challenges associated with poorly differentiated epithelial endometrial cancers (PDEECs), also known as Type II endometrial cancers (ECs), has prompted therapeutic interrogation of the prototypically intractable and most prevalent gynecological malignancy. PDEECs account for most endometrial cancer-related mortalities due to their aggressive nature, late-stage detection, and poor response to standard therapies. PDEECs are characterized by heterogeneous histopathological features and distinct molecular profiles, and they pose significant clinical challenges due to their propensity for rapid progression. Regardless of the complexities around PDEECs, they are still being administered inefficiently in the same manner as clinically indolent and readily curable type-I ECs. Currently, there are no targeted therapies for the treatment of PDEECs. The realization of the need for new treatment options has transformed our understanding of PDEECs by enabling more precise classification based on genomic profiling. The transition from a histopathological to a molecular classification has provided critical insights into the underlying genetic and epigenetic alterations in these malignancies. This review explores the genomic landscape of PDEECs, with a focus on identifying key molecular subtypes and associated genetic mutations that are prevalent in aggressive variants. Here, we discuss how molecular classification correlates with clinical outcomes and can refine diagnostic accuracy, predict patient prognosis, and inform therapeutic strategies. Deciphering the molecular underpinnings of PDEECs has led to advances in precision oncology and protracted therapeutic remissions for patients with these untamable malignancies.

Efficacy and safety of pembrolizumab in patients with advanced endometrial cancer: a systematic review and meta-analysis

Objective

This meta-analysis evaluated pembrolizumab monotherapy and combination therapy's efficacy and safety in recurrent or advanced endometrial cancer (EC).

Methods

We utilized PubMed, Embase, Cochrane Library, and Web of Science databases to identify clinical trials that were used to search literature from July 2013 to July 2023 to evaluate the efficacy and safety of pembrolizumab in patients with advanced EC. Eight studies with 2,742 patients were included. Outcomes were progression-free survival (PFS), overall survival (OS), objective response rate (ORR), complete remission (CR), and adverse events (AEs); a subgroup analysis was carried out based on combination treatment regimens. Quality assessment of the included studies was conducted using the Cochrane Risk of Bias Tool, the Newcastle-Ottawa Scale (NOS), and the Joanna Briggs Institute (JBI) critical appraisal checklist.

Results

Pembrolizumab reduced progression risk [hazard ratio (HR): 0.53; 95% confidence interval (CI): 0.44, 0.63; p < 0.00001] and death risk when combined with lenvatinib (HR: 0.67; 95% CI: 0.59, 0.76; p < 0.00001). Pembrolizumab monotherapy and lenvatinib combination achieved higher ORR (OR: 3.61; 95% CI: 2.12, 6.13; p < 0.00001) and CR rates (OR: 2.7; 95% CI: 1.59, 4.57; p < 0.05) than controls. Single-arm studies: 8% CR and 4% PR in pembrolizumab-treated patients. Pooled AE incidence: 86%, with 43% grade 3/4. Two randomized controlled trials (RCTs) found that the pembrolizumab group had a higher incidence of grade 3 or 4 AEs compared to the control group (OR: 2.23; 95% CI: 1.23, 4.04; p = 0.008).

Conclusion

Pembrolizumab monotherapy or combination significantly improves survival in recurrent or advanced EC and has manageable toxicity albeit with a relatively high incidence of treatment-related AEs.

Mongan N, Mamat @ Yusof MN, Kampan NC, Chew KT, Shafiee MN. Insulin-like Growth Factor 1 (IGF1) and Its Isoforms: Insights into the Mechanisms of Endometrial Cancer

Endometrial cancer (EC) is a common gynaecological malignancy associated with metabolic dysfunctions such as obesity, diabetes and insulin resistance, as well as hormonal imbalances, particularly involving oestrogen and progesterone. These factors disrupt normal cellular metabolism, heightening the risk of developing endometrioid EC (EEC), the most prevalent subtype of EC. The insulin-like growth factor-1 (IGF1) pathway, a key regulator of growth, metabolism, and organ function, is implicated in EC progression. Recent research highlights the distinct roles of IGF1 isoforms, including IGF1-Ea, IGF1-Eb, and IGF1-Ec, in promoting tumour growth, metastasis, and hormone signalling interactions, particularly with oestrogen. This review examines the function and clinical significance of IGF-1 isoforms, emphasising their mechanisms in gynaecological physiology and their contributions to EC pathogenesis. Evidence from other cancers further underscores the relevance of IGF1 isoforms in driving tumour behaviours, offering valuable insights into their potential as biomarkers and therapeutic targets. Understanding these mechanisms provides opportunities for novel approaches to the prevention, diagnosis, and treatment of EC, improving patient outcomes and advancing the broader field of hormone-driven cancers.

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer

Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in incidence among youngsters. Although the advent of the immunotherapy era has profoundly improved patient outcomes, not all patients benefit from immunotherapy; some patients experience hyperprogression while on immunotherapy. Hence, there is a pressing need to further delineate the distinct immune response profiles in patients with endometrial cancer to enhance prognosis prediction and facilitate the prediction of immunotherapeutic responses. The ssGSEA method was used to evaluate the activities of the immune response pathways in patients with endometrial cancer. Unsupervised clustering was employed to identify the different immune response patterns. WGCNA was employed to identify the genes that highly correlated with the immune response patterns observed. Ninety-five machine learning combinations were utilized to identify the optimal prognosis model and the novel biomarker, SLC38A3. Experiments such as cell invasion, migration, scratch, and in vivo tumorigenicity were performed to determine the function of SLC28A3. Molecular docking techniques were employed to determine the targeted action of periodate-oxidized adenosine on SLC38A3. Patients exhibited both immune response-suppressing C1 phenotypes and immune response-activating C2 phenotypes, with significant differences in prognosis between these two phenotypes. WGCNA identified 418 genes that highly correlated with the immune response phenotypes, of which 69 genes were associated with prognosis. The immune response-related score (IRRS) established by multiple machine learning frameworks demonstrated stability in predicting patient prognosis and immune status. High expression of SLC38A3 contributes to cellular malignant traits, and periodate-oxidized adenosine bound stably to SLC38A3. IRRS accurately predicts disease prognosis and immune status in patients with endometrial cancer. SLC38A3 serves as a prognostic marker for these patients and can be stably targeted by periodate-oxidized adenosine.

Safety and efficacy of antibody-drug conjugates plus immunotherapy in solid tumours: A systematic review and meta-analysis

BACKGROUND

Combining antibody-drug conjugate (ADCs) with immune checkpoint inhibitors (ICIs) is emerging as a promising treatment option to increase efficacy outcomes. However, concerns arise regarding the safety of these combinations, as some toxicities may overlap. Currently, there is still limited information about the safety profiles of this strategy.

METHODS

A systematic review and meta-analysis was conducted to identify clinical trials investigating FDA-approved ADCs in combination with ICI drugs in the metastatic setting across all solid tumors. The primary endpoint of this study was the percentage of adverse events (AEs) of any grade and grade ≥ 3. Secondary endpoints include the percentage of patients with AEs leading to death, treatment discontinuation, proportion of complete responses (CR) and overall response rate (ORR). A parallel search was conducted to quantify the safety profile of ADCs and ICIs in monotherapy. Random effects models were used to estimate pooled outcomes.

RESULTS

Sixteen trials involving 1,133 patients treated with ADC plus ICI met the inclusion criteria with six different ADCs evaluated. Overall, 55.3 % of patients developed grade ≥ 3 AEs, 30.0 % of patients had treatment discontinuation, and 3.0 % experienced AEs leading to death. When compared to trials evaluating ADC or ICI as monotherapy, the combination results in similar rates of the most common AEs. However, it increases the risk of specific toxicities, such as ILD/pneumonitis (15.0 % with T-DXd plus ICI vs. 11.5 % with T-DXd alone). The pooled ORR was 48.8 % (95 %CI 39.4 % - 58.4 %) and the CR rate was 9.0 % (95 %CI 5.5 - 14.5). PD-L1-positive tumors showed numerically better efficacy outcomes.

CONCLUSIONS

This meta-analysis shows that the safety profile of the ADC plus ICI is comparable to that of ADC monotherapy. However, it increases the risk of certain toxicities of special interest, such as ILD/pneumonitis, highlighting the need for careful monitoring.

Prognostic Significance of the Immune Microenvironment in Endometrial Cancer

This study used artificial intelligence (AI)-based analysis to investigate the immune microenvironment in endometrial cancer (EC). We aimed to evaluate the potential of AI-based immune metrics as prognostic biomarkers. In total, 296 cases with EC were classified into 4 molecular subtypes: polymerase epsilon ultramutated (POLEmut), mismatch repair deficiency (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP). AI-based methods were used to evaluate the following immune metrics: total tumor-infiltrating lymphocytes (TIL), intratumoral TIL, stromal TIL, and tumor cells using Lunit SCOPE IO, as well as CD4+, CD8+, and FOXP3+ T cells using immunohistochemistry (IHC) by QuPath. These 7 immune metrics were used to perform unsupervised clustering. PD-L1 22C3 IHC expression was also evaluated. Clustering analysis demonstrated 3 distinct immune microenvironment groups: immune active, immune desert, and tumor dominant. The immune-active group was highly prevalent in POLEmut, and it was also seen in other molecular subtypes. Although the immune-desert group was more frequent in NSMP and p53mut, it was also detected in MMRd and POLEmut. POLEmut showed the highest levels of CD4+ and CD8+ T cells, total TIL, intratumoral TIL, and stromal TIL with the lowest levels of FOXP3+/CD8+ ratio. In contrast, p53abn in the immune-active group showed higher FOXP3+/CD4+ and FOXP3+/CD8+ ratios. The immune-active group was associated with favorable overall survival and recurrence-free survival. In the NSMP subtype, a significant association was observed between immune active and better recurrence-free survival. The PD-L1 22C3 combined positive score (CPS) showed significant differences among the 3 groups, with the immune-active group having the highest median CPS and frequency of CPS ≥ 1%. The immune microenvironment of EC was variable within molecular subtypes. Within the same immune microenvironment group, significant differences in immune metrics and T cell composition were observed according to molecular subtype. AI-based immune microenvironment groups served as prognostic markers in ECs, with the immune-active group associated with favorable outcomes.

Efficacy and safety of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer: a systematic review and meta-analysis

Background

Various trials have demonstrated the clinical benefits of lenvatinib plus pembrolizumab in patients with advanced or recurrent endometrial cancer, regardless of mismatch repair (MMR) status or histologic subtype. The majority of the previously published trials had small sample sizes. Here, we aimed to assess the reported efficacy and safety profile of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer.

Methods

We utilized the Cochrane Library, PubMed, Web of Science and Embase databases to identify clinical trials evaluating the efficacy and safety of lenvatinib plus pembrolizumab in patients with advanced and recurrent endometrial cancer. The outcomes analyzed were progression-free survival (PFS), overall survival (OS), the objective response rate (ORR), the disease control rate (DCR) and the incidence of adverse events (AEs). Subgroup analysis was conducted on the basis of MMR status (deficient, dMMR or proficient, pMMR).

Results

Four trials (582 patients) were included. The pooled ORR was 32.7% [95% confidence interval (CI): 28.9-36.5]. Subgroup analysis revealed an ORR of 48.1% (95% CI: 26.1-70.2) for dMMR group and 33.1% (95% CI: 25.7-40.6) for pMMR group. The pooled DCR was 74.9% (95% CI: 71.3-78.4%). Subgroup analysis revealed a DCR of 81.0% (95% CI: 64.5-97.6) for the dMMR group and 76.3% (95% CI: 66.3-86.3) for the pMMR group. Follow-up was reported in all included studies. The median range time of PFS and OS was 5.3 months-258 days and 17.2 months-not reached, respectively. Regarding safety, the overall pooled proportions of any-grade AE and AEs ≥ grade 3 were 95.8% (95% CI: 89.5-100.0) and 80.2% (95% CI: 59.9-100.0), respectively.

Conclusion

Lenvatinib plus pembrolizumab showed a relevant clinical benefit and significant toxicity in patients with advanced and recurrent endometrial cancer. Further studies encompassing long-term outcomes are warranted.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=522160/, identifier CRD42024522160.

Efficacy and Safety of Atezolizumab as a PD-L1 Inhibitor in the Treatment of Cervical Cancer: A Systematic Review

BACKGROUND AND OBJECTIVES

The efficacy and safety of PD-L1 inhibitors in the treatment of cervical cancer is an ongoing research question. This review aims to establish a clear profile of atezolizumab, examining its impact on survival outcomes, response rates, and safety measured by serious adverse events (SAEs).

MATERIALS AND METHODS

A literature search was conducted using PubMed, Scopus, and Web of Science, focusing on articles published up to February 2024. The review followed the PRISMA guidelines and synthesized outcomes from four randomized trial studies involving atezolizumab administered at 1200 mg IV every three weeks, alone or in combination with chemoradiotherapy.

RESULTS

A total of 284 patients received atezolizumab, the majority being advanced stage cervical cancer (IVA-IVB). Median follow-up times ranged from 9 weeks to 32.9 months. It was found that combining atezolizumab with standard therapies extended median progression-free survival (PFS) from 10.4 to 13.7 months and overall survival (OS) from 22.8 to 32.1 months, according to the phase III trial. Monotherapy and initial treatment settings with atezolizumab also showed promising efficacy, with disease-free survival rates at 24 months reaching 79% compared to 52% with standard therapy alone. However, the treatment was associated with high rates of SAEs, reaching up to 79% in more intensive treatment combinations.

CONCLUSIONS

Atezolizumab demonstrates significant potential in improving PFS and OS in patients with cervical cancer, supporting its inclusion as a first-line treatment option. Despite the efficacy benefits, the high incidence of SAEs necessitates careful patient selection and management strategies to mitigate risks. This systematic review supports the continued evaluation of atezolizumab in broader clinical trials to refine its therapeutic profile and safety measures in the context of cervical cancer treatment.

The emerging and challenging role of PD-L1 in patients with gynecological cancers: An updating review with clinico-pathological considerations

Over recent years, there has been significant progress in the development of immunotherapeutic molecules designed to block the PD-1/PD-L1 axis. These molecules have demonstrated their ability to enhance the immune response by prompting T cells to identify and suppress neoplastic cells. PD-L1 is a type 1 transmembrane protein ligand expressed on T lymphocytes, B lymphocytes, and antigen-presenting cells and is considered a key inhibitory checkpoint involved in cancer immune regulation. PD-L1 immunohistochemical expression in gynecological malignancies is extremely variable based on tumor stage and molecular subtypes. As a result, a class of monoclonal antibodies targeting the PD-1 receptor and PD-L1, known as immune checkpoint inhibitors, has found successful application in clinical settings. In clinical practice, the standard method for identifying suitable candidates for immune checkpoint inhibitor therapy involves immunohistochemical assessment of PD-L1 expression in neoplastic tissues. The most commonly used PD-L1 assays in clinical trials are SP142, 28-8, 22C3, and SP263, each of which has been rigorously validated on specific platforms. Gynecologic cancers encompass a wide spectrum of malignancies originating from the ovaries, uterus, cervix, and vulva. These neoplasms have shown variable response to immunotherapy which appears to be influenced by genetic and protein expression profiles, including factors such as mismatch repair status, tumor mutational burden, and checkpoint ligand expression. In the present paper, an extensive review of PD-L1 expression in various gynecologic cancer types is discussed, providing a guide for their pathological assessment and reporting.

Prognostic role of C-reactive protein in patients with endometrial cancer: a meta-analysis

Background: The present meta-analysis aimed to explore the association between C-reactive protein (CRP) levels and the prognosis of patients with endometrial cancer (EC). Methods: The effect of CRP level on predicting overall survival (OS) and disease-free survival (DFS) in patients with EC was evaluated according to pooled hazard ratios (HRs) and corresponding 95% CIs. Results: High CRP levels were not significantly correlated with OS (HR: 1.32 [95% CI: 0.99-1.77]; p = 0.060) or DFS (HR: 1.05 [95% CI: 0.88-1.25]; p = 0.597) in patients with EC. Conclusion: CRP levels did not significantly predict OS or DFS in patients with EC. However, according to subgroup analyses, higher CRP levels were significantly associated with poor OS in Asian patients with EC.

Correlation between estrogen receptor and programmed death ligand-1 in type I endometrial cancer

Objective

To determine the effect of estrogen receptor (ER) on programmed death-ligand 1 (PD-L1) expression in type I endometrial cancer (EC).

Material and Methods

This retrospective study included 85 patients with type I EC who underwent surgery at Dr. Soetomo Hospital between 2018 and 2022. A random sampling technique was employed. Immunohistochemistry (IHC) with ER and PD-L1 antibodies was performed on all samples. In this study, ER expression served as the independent variable, while PD-L1 expression was considered the dependent variable. Data analysis was performed using Spearman's rank correlation coefficient test.

Results

Out of the 85 patients with type I EC, 58 (68.2%) exhibited positive and 27 (31.8%) exhibited negative ER expression. Meanwhile positive PD-L1 expression was seen in 67 (78.8%) and 18 (21.2%) exhibited negative PD-L1 expression. The study revealed a strong negative correlation between ER and PD-L1 expression in EC (rho value = -0.886, p-value = 0.0001).

Conclusion

ER downregulates PD-L1 in type I EC. The findings of this study can be used as reference data and as the basis for further research, especially investigations of the prognostic and immunotherapeutic value of ER and PD-L1 expression in type I EC.

DNA mismatch repair system regulates the expression of PD-L1 through DNMTs in cervical cancer

BACKGROUND

Cervical cancer (CC) is a potential clinical application of PD-1/PD-L1 inhibitor. We aimed to study the mechanism of DNA mismatch repair (MMR) system regulating the expression of PD-L1 in CC through DNA methyltransferase (DNMTs).

METHODS

We collected pathological specimens from 118 cases of CC to analyze the relationship between PD-L1 expression and DNMTs in different MMR states. RNA interference (RNAi) technique was used to simulate the formation of CC cell line with MMR deficiency (dMMR) state, and subcutaneous tumor formation experiment was carried out in nude mice to verify the relationship between PD-L1 expression and DNMTs in MMR state.

RESULTS

The PD-L1 positive rate in 118 cases of CC was 58.47%, while the microsatellite instability (MSI) status accounted for 5.93%. There was a significant difference in the expression of PD-L1 between patients within the dMMR and MMR proficient (pMMR) groups (χ2 = 21.405, P < 0.001). Subcutaneous inoculation after infection of Siha cells led to successful tumorigenesis in nude mice, accompanied by a significant increase in the level of PD-L1 expression in the mouse tumors, while the expression level of MLH1 and MSH2 protein decreased significantly. We also found that PD-L1 expression was closely related to the expression of DNMTs.

CONCLUSION

PD-L1 is universal expressed on the surface of CC cells, dMMR status enhances the expression of PD-L1 on the surface of CC cells, dMMR states of CC are related to the demethylation status of the PD-L1 gene promoter region.

Expression of PD-1 and PD-L1 in Endometrial Cancer: Molecular and Clinical Significance

The landscape of diagnosing and treating endometrial cancer is undergoing a profound transformation due to the integration of molecular analysis and innovative therapeutic approaches. For several decades, the cornerstone treatments for endometrial cancer have included surgical resection, cytotoxic chemotherapy, hormonal therapy, and radiation therapy. However, in recent years, the concept of personalised medicine has gained momentum, reshaping the way clinicians approach cancer treatment. Tailoring treatments based on specific biomarkers has evolved into a standard practice in both initial and recurrent therapy protocols. This review aims to provide an in-depth exploration of the current state of molecular analysis and treatment strategies in the context of endometrial cancer, focusing on the immunological aspect of the PD-1/PD-L1 axis. Furthermore, it seeks to shed light on emerging and innovative approaches that hold promise for the future modulation of endometrial cancer treatments. In essence, as researchers delve into the complex molecular landscape of endometrial cancer and harness the understanding of the PD-1/PD-L1 axis, we are paving the way for more targeted, effective, and personalised therapies that have the potential to significantly improve the outcomes and quality of life for patients with this challenging disease.