Top Ten Tips Palliative Care Clinicians Should Know When Caring for Patients with Endometrial Cancer

Inhibition of ATM with KU-55933 Sensitizes Endometrial Cancer Cell Lines to Olaparib

Background

Endometrial cancer (EC) is one of the most prevalent gynecologic cancers, which poses a serious threat to women's health worldwide. Olaparib, the first FDA-approved PARP inhibitor for the treatment of BRCA-mutated breast, ovarian and pancreatic cancers, triggers apoptosis of cancer cells through synthetic lethality by inhibiting PARP1/2 enzymatic activity and BRCA1/2-dependent homologous recombination (HR) repair deficiency. However, the synergistic lethal effects between Olaparib and inhibitors of other DNA damage response proteins, such as ATM, PTEN and RAD51, are still unknown.

Aim

Exploring the synergistic lethal effect between Olaparib and KU-55933 on EC.

Methods

The GEPIA database was used to test EC patient survival rate. CCK8 was used for cell viability assays. Western blot was used for examining gene levels. The wound healing assay was used to detect cell migration ability. Flow cytometry was used for detecting the apoptosis rate. All experimental conditions were repeated independently in triplicate and analyzed in three separate experiments.

Results

In this study, we discovered that the frequency of ATM alterations in endometrial cancer reaches nearly 20% and that there is a positive correlation between ATM alterations and prognosis. Furthermore, we discovered that endometrial cells with low expression levels of ATM are sensitive to Olaparib. Treatment with KU-55933, a specific inhibitor of ATM, significantly enhanced the sensitivity of endometrial cancer cells to Olaparib, as evidenced by colony formation, cell migration and apoptosis assay. Further analysis revealed that KU-55933 potentiates Olaparib-induced cell apoptosis by inhibiting ATM phosphorylation.

Conclusion

Our study demonstrates that inhibiting ATM could enhance the sensitivity of endometrial cancer to Olaparib, thereby providing a potential alternative treatment for the clinical treatment of endometrial cancer.

Analysis of Prognostic Factors and Treatment Modes of Patients with Recurrent Endometrial Carcinoma

Objective

Recurrence of endometrial cancer after initial treatment can be complex and difficult to treat. The current main treatment modalities for patients with recurrent endometrial cancer (REC) include chemotherapy, radiotherapy, and surgery, which vary according to the individual patient. However, REC is often associated with a poor prognosis, and it is therefore important to investigate the risk factors affecting REC prognosis and to explore appropriate treatment modalities to improve the prognosis and treatment strategies for patients with REC.

Methods

Totally, 100 patients with REC admitted to our hospital from January 2013 to January 2018 were chosen to be research objects. Their pathological data were analyzed, including age, disease-free interval (DFI), recurrence site, and treatment plan after relapse (definitive local therapy (DLT) and palliative chemotherapy (PC)). According to these parameters, univariate and multivariate factors affecting the prognosis of REC patients and the curative effect of PC were analyzed, and the 3-year overall survival (OS) curve and progression-free survival (PFS) curve were drawn.

Results

After 3 years of follow-up, 30 patients had a poor prognosis and 70 had a good prognosis, according to which a single multifactorial analysis was performed for different prognoses, where the results of the single-factor analysis showed significant differences between patients with different prognoses in terms of pathomorphology, pathological grading, TFI, and treatment modality after relapse. Further multifactorial analysis showed that TFI and treatment modality after recurrence were independent factors affecting poor prognosis in REC patients. The 3-year OS and 3-year PFS of REC patients were 74.00% and 70.00%, respectively. Patients whose DFI was less than 12 months or treated with PC after relapse were notably associated with lower levels of 3-year OS and 3-year PFS. In addition, radiotherapy and chemotherapy, DFI, and chemotherapy plan after primary surgery were independent risk factors that affected the PC efficacy of REC patients.

Conclusion

DFI and treatment mode after relapse are independent factors affecting the prognosis of REC patients. DLT can obviously improve the prognosis of REC patients. For patients who can only choose PC, chemoradiotherapy and DFI after primary surgery are helpful to predict the chemotherapy effect, and the combination of paclitaxel and platinum drugs should be the first choice for chemotherapy.

Clinicopathological Characteristics and Prognosis in Endometrial Cancer With Bone Metastasis: A SEER-Based Study of 584 Women

Purpose

Bone metastasis from endometrial cancer (EC) is rare and poorly described. The purpose of the present study was to investigate the correlation between the clinically accessible factors and survival time among EC patients with bone metastasis.

Patients and Methods

We retrospectively identified and reviewed EC patients with bone metastasis from 2010 to 2016, based on the Surveillance, Epidemiology and End Results (SEER) database. Univariable and multivariable Cox regressions were applied to evaluate the effects of clinical variables on survival. Kaplan–Meier plots were used to visually demonstrate the correlation between independent risk factors and survival.

Results

Clinical data of 584 EC patients with bone metastasis from the SEER database were analyzed. EC patients with bone metastasis experienced extremely poor survival, with 1-year overall survival (OS) and cancer-specific survival (CSS) rates 33.8 and 35.8%, respectively. Variables associated with OS and CSS in the univariable analysis included race, tumor grade, tumor subtype, tumor size, lung, liver and brain metastases, surgery, radiotherapy, and chemotherapy. In the multivariable analysis, tumor grade, tumor subtype, liver and brain metastases, local surgery, and systemic chemotherapy remained independent risk factors for OS and CSS. However, local radiotherapy was an independent predictor of OS, not CSS.

Conclusions

We identified several factors affect the survival of EC patients with bone metastasis, which is useful for clinicians to assess patients’ outcomes. Our study supports surgery and radiotherapy of primary EC, and systemic chemotherapy for prolonging survival among EC patients with bone metastasis, which lays a solid foundation for defining optimal treatment strategy in this specific cohort.

Immune Cell Infiltration as Signatures for the Diagnosis and Prognosis of Malignant Gynecological Tumors

Background Malignant gynecological tumors are the main cause of cancer-related deaths in women worldwide and include uterine carcinosarcomas, endometrial cancer, cervical cancer, ovarian cancer, and breast cancer. This study aims to determine the association between immune cell infiltration and malignant gynecological tumors and construct signatures for diagnosis and prognosis.

Methods We acquired malignant gynecological tumor RNA-seq transcriptome data from the TCGA database. Next, the “CIBERSORT” algorithm calculated the infiltration of 22 immune cells in malignant gynecological tumors. To construct diagnosis and prognosis signatures, step-wise regression and LASSO analyses were applied, and nomogram and immune subtypes were further identified.

Results Notably, Immune cell infiltration plays a significant role in tumorigenesis and development. There are obvious differences in the distribution of immune cells in normal, and tumor tissues. Resting NK cells, M0 Macrophages, and M1 Macrophages participated in the construction of the diagnostic model, with an AUC value of 0.898. LASSO analyses identified a risk signature including T cells CD8, activated NK cells, Monocytes, M2 Macrophages, resting Mast cells, and Neutrophils, proving the prognostic value for the risk signature. We identified two subtypes according to consensus clustering, where immune subtype 3 presented the highest risk.

Conclusion We identified diagnostic and prognostic signatures based on immune cell infiltration. Thus, this study provided a strong basis for the early diagnosis and effective treatment of malignant gynecological tumors.