Active clinical trials for "Endometrial Neoplasms"

RATIONALE: Drugs used in chemotherapy use different ways to stop tumor cells from dividing so they stop growing or die. Combining more than one drug may kill more tumor cells. PURPOSE: Phase I trial to study the effectiveness of combining docetaxel, carboplatin, and gemcitabine in treating patients who have previously untreated, newly diagnosed epithelial cancer.

This phase I trial is studying the side effects and best dose of combination chemotherapy when given with radiation therapy in treating patients with stage III or stage IV endometrial cancer. Drugs used in chemotherapy use different ways to stop tumor cells from dividing so they stop growing or die. Radiation therapy uses high-energy x-rays to damage tumor cells.

RATIONALE: Drugs used in chemotherapy use different ways to stop tumor cells from dividing so they stop growing or die. PURPOSE: Phase II trial to study the effectiveness of liposomal doxorubicin in treating women who have recurrent, stage III, or stage IV endometrial cancer.

This is a Phase 1, multiple dose, ascending-dose escalation study and expansion study designed to define a maximum tolerated dose and/or recommended dose of XmAb22841 monotherapy and in combination with pembrolizumab; to assess safety, tolerability, pharmacokinetics, immunogenicity, and anti-tumor activity of XmAb22841 monotherapy and in combination with pembrolizumab in subjects with select advanced solid tumors.

The primary purpose of this study is to evaluate the effectiveness of a 12-month comprehensive weight management program on weight change in overweight/obese patients following treatment for endometrial cancer. During the study period, subjects will be monitored for recurrence during routine clinic visits A secondary exploratory purpose of this study will be to evaluate the gut microbiome in this intervention group and the changes that may occur while participating in a weight loss and weight management program.

A Phase 2 Study Evaluating the Efficacy and Safety of DKN-01 as a Monotherapy or in Combination with Paclitaxel in Patients With Recurrent Epithelial Endometrial Cancer, Epithelial Ovarian Cancer, or Carcinosarcoma

This is a phase II study of rucaparib, a small molecule inhibitor poly (adenosine diphosphate [ADP]-ribose) polymerase (PARP), being tested in combination with bevacizumab in patients with recurrent cervical or endometrial cancer. The objective of this study is to determine the proportion of these patients who survive progression-free for at least 6 months while receiving this drug combination.

To verify the safety of omission of lymph node dissection in ultra-low-risk endometrial cancer (KGOG criteria), we examine the survival of women with ultra-low-risk endometrial cancer who do not undergo lymph node dissection

Tinostamustine (EDO-S101) is a new chemical entity, an AK-DAC (a first-in-class alkylating deacetylase inhibiting molecule), that in pre-clinical studies has been shown to simultaneously improve access to the DNA strands within cancer cells, break them and block damage repair. This Phase 1/2 study will enroll patients with various advanced solid tumors.

In order to develop a convenient, cheap and comprehensive method to preoperatively predict dMMR and reduce the number of people requiring dMMR-related immunohistochemical or genetic testing after surgery, this study aims to establish a deep learning model based on MRI to predict the MMR status of endometrial cancer. Patients diagnosed with endometrial cancer after surgery and who had completed pelvic MRI before surgery were collected. Deep learning was used to combine the clinical model with MR Image data to build the model. ROC curves were constructed for the testing group, internal verification group and external verification group, and the area under ROC curves were calculated to evaluate the diagnostic effect and stability of the model. The dual threshold triage strategy was used to screen out the pMMR population (below the lower threshold), dMMR population (above the upper threshold) and the uncertain part of the population (between the thresholds).