The PTC Microtumor Model is Used to Guide the Feasibility Study of Treatment for Patients With Drug-resistant or Relapsed Advanced Ovarian Epithelial Cancer or Endometrial Cancer

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

The clinical treatment of patients with resistant/relapsed/advanced gynecological malignancies is very difficult, and the difficulty lies in the selection of effective drugs. This study was a cohort study of recurrent/drug-resistant advanced ovarian high-grade serous carcinoma and advanced/recurrent endometrial adenocarcinoma treated in our hospital. A total of 20 cases were included in the proposed study group, including 12 cases of high-grade serous ovarian carcinoma and 8 cases of endometrial adenocarcinoma. Twenty patients who did not use PTC model to guide treatment at the same period were selected as controls. To compare the consistency of in vitro drug sensitivity detection results of PTC microtumor with clinical therapeutic effect, and to explore the feasibility of using PTC microtumor model to guide the treatment of patients with drug-resistant/recurrent advanced ovarian epithelial cancer or endometrial cancer. The clinical therapeutic effects of the study group and the control group were compared, and the rates of CR, PR, SD, PFS, OS and TTP were evaluated by RECIST1.1 standard. PTC models based on different clinical samples (tissue and ascites) were compared to analyze the consistency of in vitro drug sensitivity detection results and the relationship with clinical efficacy.

Eligibility
Participation Requirements
Sex: Female
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:

• Age ≥18 years, ≤80 years

• Recurrent/drug-resistant gynecological tumors include: ① patients with advanced high-grade ovarian serous cancer whose tumor is uncontrolled or recurrent within 6 months after receiving platinum-based chemotherapy; ② Advanced ovarian high-grade serous cancer patients with platinum resistance at first treatment; ③ Patients with advanced or recurrent endometrial adenocarcinoma.

• Life expectancy \> 6 months;

• Malignant tumors that are not being treated by other systems or are in an active phase;

• Have at least one measurable target lesion according to RECIST1.1 criteria;

• Specimen requirements: fresh specimens with sufficient cell culture, including tissue samples and abdominal effusion;

• Physical strength score: ECOG 0-2;

• Major organ functions must meet clinical treatment requirements:

⁃ Blood routine: neutrophil (ANC) ≥1.5x109/L; Platelet count (PLT) ≥90x109/L; Hemoglobin (Hb) ≥90g/L; ② Blood biochemistry: total bilirubin (TBIL) ≤1.5x upper limit of normal value (ULN); Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) ≤1.5xULN; Urea nitrogen (BUN) and creatinine (Cr) ≤1.5 x ULN

‣ (3) Heart color ultrasound: left ventricular ejection fraction (LVEF) ≥55%;

‣ ④ 12-lead ECG: Fridericia method corrected QT period (QTcF) \< 470 msec. (9) Consent to abstinence from sex or use of an effective contraceptive method during treatment and for at least 7 months after the last dose in the study treatment for female patients who are not menopausal or have not been surgically sterilized; (10) Patients participating in the study (or their legal representatives) understand and voluntarily sign informed consent, have good compliance, and are willing to cooperate with follow-up.

Locations
Other Locations
China
Bei Jing Chao-Yang Hospital
RECRUITING
Beijing
Contact Information
Primary
Guangming Cao, Ph.D
caoguangming_2009@126.com
+86 13240104755
Backup
Hua Li, Ph.D
+86 01085231831
Time Frame
Start Date: 2023-09-01
Estimated Completion Date: 2026-09-30
Participants
Target number of participants: 40
Treatments
experimental group
The results of PTC microtumor model were used to guide treatment, including 12 cases of ovarian cancer and 8 cases of endometrial cancer.
control group
Patients who did not use the PTC model to guide treatment during the same period included 12 cases of ovarian cancer and 8 cases of endometrial cancer.
Sponsors
Leads: Hua Li

This content was sourced from clinicaltrials.gov