Introduction: Endometrial cancer (EC) is the only gynecologic malignancy showing increasing trends in incidence and mortality. While standard treatment has been effective primarily for early-stage EC, precision medicine with tailored therapy has revolutionized the management of this disease. Genome sequencing analyses have identified four sub-types of EC. Treatments for primary and metastatic disease can now be tailored more accurately to achieve better oncologic results.

Areas Covered: This review provides an overview of the most relevant and updated evidence in the literature regarding EC molecular analysis and its role in risk classification, prognostication, and guidance for tailored and target therapies in early and advanced/metastatic stages. In addition, it provides updated information on optimal surgical management based on molecular classification and highlights key advances and future strategies.

Expert Opinion: EC molecular analysis yields the potential of tailoring adjuvant treatment by escalating or deescalating therapy, as shown for POLE-mutated and p53-mutated tumors. Moreover, the expression of specific molecular signatures offers the possibility to employ novel target therapies, such as immune-checkpoint inhibitors that have demonstrated a significant benefit on prognosis. New treatment guidelines are still being established, and ongoing studies are exploring the potential prognostic role of further sub-stratifications of the four molecular classes and treatment options.

Download full-text PDF

Source
http://dx.doi.org/10.1080/14728222.2024.2316739DOI Listing

Publication Analysis

Top Keywords

endometrial cancer
8
molecular analysis
8
target therapies
8
molecular
5
therapeutic targets
4
targets endometrial
4
cancer glimpse
4
glimpse preclinical
4
preclinical sphere
4
sphere introduction
4

Similar Publications

Clear cell adenocarcinoma of the cervix (CCAC) is a rare subtype of cervical adenocarcinoma. It has been linked to intrauterine exposure to diethylstilbestrol (DES) but can happen in non-DES-exposed patients, albeit less commonly. Presentation is largely vaginal bleeding, emphasizing the importance of considering CCAC in the differential of abnormal vaginal bleeding despite the tumor's rarity.

View Article and Find Full Text PDF

Background: Understanding the risk factors for early recurrence is crucial for improving endometrial cancer (EC) patient outcomes.

Methods: We conducted a retrospective analysis of clinicopathological data from 473 patients diagnosed with EC at the First Affiliated Hospital of Chongqing Medical University between October 2013 and May 2019. We evaluated factors influencing early recurrence(defined as occurring within 12 months after treatment) based on 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system.

View Article and Find Full Text PDF

Context: Breast cancer poses significant challenges due to its high incidence and prevalence, necessitating heightened attention. Understanding how patients prioritize different treatment options based on various attributes can assist healthcare decision-makers in maximizing patient utility. The discrete choice experiment, a conjoint method, facilitates preference elicitation by presenting different attributes and choices.

View Article and Find Full Text PDF

Background: Uterine Corpus Endometrial Carcinoma (UCEC) is a prevalent gynecologic malignancy with complex molecular underpinnings. This study identifies key woundhealing genes involved in UCEC and elucidates their roles through a comprehensive analysis.

Methods: In silico and in vitro experiments.

View Article and Find Full Text PDF

Introduction: Incidence of endometrial cancer (EC) in Hispanic/Latina (H/L) women are higher compared to other race/ethnicities in the United States. EC is the third most common cancer and the fourth cause of cancer-related deaths in Puerto Rican women, yet demographic and clinical information is limited. High rates of EC risk factors such as obesity, diabetes mellitus type 2 (DM2) and hypertension (HTN) have been documented in the Puerto Rican population.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!