Efficacy and Adverse Effects of Olaparib in Ovarian Cancer.

1. Research status at domestic and foreign Ovarian cancer is the second fatal gynecological cancer. More than 70% of ovarian cancer patients are diagnosed as advanced. Standard treatments include optimal reduction surgery and platinum/taxane chemotherapy. Epithelial ovarian cancer (EOC) is the most common histological type of ovarian cancer, up to 20% of high-grade serous ovarian cancer (HGSOC) shows germline and/or somatic mutations in the BRCA1/BRCA2 gene. BRCA1 and BRCA2 are tumor suppressor genes that play a central role in repairing DNA double-strand breaks (DSBS) through homologous recombination (HR). Due to their increased sensitivity to DNA damage reagents, they extend the survival period of BRCA1 and BRCA2 mutant EOCs, among which BRCA2 vectors have the best survival rate. Poly-adenosine diphosphate-ribose polymerase 1 is a key ribozyme involved in single-strand break (SSB) repair through the base excision repair pathway. In the absence of poly adenosine diphosphate-ribose polymerase(PARP) activity, these lesions are considered to have transformed into DSB. Cells lacking HR, such as BRCA mutant cells, are extremely sensitive to PARP inhibition. This phenomenon called "synthetic lethality" has led people to study poly adenosine diphosphate-ribose polymerase inhibitors (PARPi) used as therapeutic agents in BRCA1/BRCA2 carriers. Olaparib is the first oral PARPi approved in the United States in December 2014 for the fourth-line treatment of advanced ovarian cancer with BRCA mutations. In the early development of PARPi olaparib, studies have found that platinum sensitivity seems to be related to a higher objective response rate between BRCA carriers and non-carriers. Gelmon et al. designed a phase II randomized trial Study 19, which evaluated the efficacy of olaparib and placebo as maintenance therapy in patients with platinum-sensitive serous ovarian cancer recurrence. Compared with the placebo group, the median progression-free survival (PFS) of the olaparib group was significantly longer (8.4 months for the olaparib group and 4.8 months for the placebo group (HR=0.35; \[95) % credibility interval (CI) =0.25-0.49\]; p\<0.001). Post-hoc analysis showed that among BRCA germline mutations (gBRCA) carriers, the improvement of PFS in the olaparib group was greater (HR≤0.18; \[95%CI=0.10-0.31\]; p \<0.0001). The SOLO2 study is a randomized, controlled phase III randomized controlled trial, which further confirmed the findings of patients with gBRCA mutations in Study 19. At present, based on the latest National Comprehensive Cancer Network (NCCN) guidelines and guidelines for the clinical application of PAPPi for ovarian cancer, the first-line recommends PARPi+bevacizumab (Bev) maintenance therapy, and PARPi maintenance therapy is the standard treatment for platinum-sensitive recurrent epithelial ovarian cancer. The above-mentioned studies based on olaparib are mostly randomized controlled trials (RCTs). Because RCTs often have strict inclusion and exclusion criteria, they are carried out in a highly standardized environment, so that the research subjects have good homogeneity. The validity is high, but the research results may not be able to be extrapolated to practice. Therefore, it is necessary to evaluate the role of treatments for advanced diseases in the real world. To provide better guidance for patients, real-world evidence is needed to make up for the lack of randomized controlled trials. At present, in real-world researches, there are only retrospective studies on the use of olaparib in ovarian cancer at home and abroad, and the results are consistent with its corresponding RCTs. There is a lack of prospective real-world evidence with higher levels of evidence. 2. Study drugs The drug name is olaparib tablets. This product is a film-coated tablet. 1)150mg: green to green/gray, oval, biconvex tablets, with "OP150" engraved on one side and blank on the other side. 2)100mg: yellow to dark yellow, oval, biconvex tablets, with "OP100" engraved on one side and blank on the other side. 3. Research programs 3.1 Overall design This study is a prospective real-world product registration study. It is an observational study. The main research content is to evaluate the efficacy and adverse reactions of PARPi olaparib in patients with ovarian cancer, fallopian tube cancer or primary peritoneal cancer. According to the inclusion and exclusion criteria, we collect various information of the target research participants, and organize the data and perform statistical analysis under the guidance of epidemiologists and statistical experts. The curative effect is evaluated by indicators such as PFS, overall survival (OS), and objective response rate (ORR). Moreover, we collect and analyze the adverse reactions of study participants after taking olaparib. 20ml blood samples and surgically removed histological samples of enrolled patients are collected (only for enrolled patients who agree to blood sampling) for exploratory biological marker research and exploratory pharmacogenetic analysis. 3.2 Sample size This research is an observational study. 245 study participants are expected to be included. 3.3 Stratification factors This research can set up different plans according to the following different stratification factors and research purposes.1) Number of treatment lines: first-line maintenance, second-line maintenance, back-line treatment, excess indications. 2) BRCA1/2 mutation status: positive, negative. 3) Platinum sensitive status: platinum sensitive, platinum resistant. 4) CA125 level, etc. 3.4 Treatment plan This study is a non-interventional study that only collects data and does not interfere with clinical treatment. The medication is administered according to clinical instructions, guidelines and local treatment routines. 4. Research process 4.1 Subject informed Patients should sign an informed consent form before the start of the study. The researchers need to explain the contents of the informed consent to the subjects in detail. After the candidate has fully read and understood the informed consent, if she agrees to participate in the study, the subject should sign and date the informed consent. Researchers also need to sign and date the informed consent form. 4.2 Interview on selection Within 7 days of the subjects' enrollment, the investigator collected baseline data, including: general information; medical history diagnosis; past tumor treatment history; family history; whether it meets the admission criteria. 4.3 Interview during treatment and the last interview After the subjects are enrolled, the investigator will conduct a visit every 12 weeks. The data include: * Efficacy evaluation: CT/MRI imaging examination and tumor marker CA125 examination are required. * Safety evaluation: whether there are adverse events (AE). * At baseline, at the same time as the RECIST assessment time (once every 12 weeks) until the objective radiation disease progression or the end of the study treatment interview, a functional assessment of cancer treatment-ovarian cancer (FACT-O) questionnaire survey. 5. Safety evaluation 5.1 Definition of Adverse Events AE refers to all the adverse medical events that occur after the subject receives the experimental drug. It can be manifested as symptoms and signs, diseases or abnormal laboratory tests, but it may not be causally related to the experimental drug. 5.2 Severity of adverse events During the study period, the severity of AEs will be classified according to Common Terminology Criteria for Adverse Events (CTCAE) v5.0, and AE of grade ≥3 will be collected. 5.3 Relationship with study drug When judging the correlation between AEs and study drugs, the following factors should be considered: 1) It is definitely related; 2) It may be related; 3) Possibly irrelevant; 4) Definitely irrelevant; 5) Undecidable. 5.4 Adverse event records All adverse events that occur from the subject's first use of olaparib to 4 weeks after the last dose, including observed by the investigator, obtained by inquiries, and spontaneously reported by the subject should be fully recorded. Researchers need to continue to follow up all AEs until the event is cured, returns to baseline, reaches a stable state, or no more information is available. The researcher needs to monitor and record the outcome of the AE in the subject's source file. After the study, there is no need to actively collect new AEs. 6. Drug management This study is a real-world study, and olaparib is a marketed drug, so olaparib needs to be purchased and used by patients according to the normal procedures in the hospital. 7. Data recording and monitoring 7.1 Data logging This project uses table records. According to Good Clinical Practice (GCP) requirements, in order to ensure patient privacy, patient names should not appear. All patients' names should be filled with name codes, and the codes should be abbreviated in Chinese name. The specific dosage and time of medication are unknown, and should be filled in unknown rather than blank or missing items. The researcher should ensure that all data must be consistent with the "inpatient medical record". 7.2 Data monitoring During the test process, the research unit will review the completed test case data, check whether the data is correct, complete and standardized, and assess the traceability of all data. 8. Statistical analysis 8.1 Definition of statistical analysis data sets The study includes cases that have received at least one trial drug and have a safety evaluation into the primary and secondary endpoint analysis. Those who have not used a trial drug or have no research data after being selected can be eliminated. Excluded cases should be kept for future reference and no statistical analysis should be performed. 8.2 Statistical analysis methods The continuous variables in this study are described by median and interquartile range. Categorical variables are described by absolute value and the proportion of the total number of patients. Χ2 test are used for comparison between groups. The method of survival analysis is used to statistically process the follow-up data. Kaplan-Meier method is used to draw the survival curve of the follow-up subjects. Log-Rank test was used to evaluate the survival difference between each group. Cox regression model was used to analyze the influencing factors of the survival time of each group of follow-up subjects. Candidate influencing factors with a significance level of 0.05 in the univariate analysis were selected into the multivariate analysis. For all analyses, the test level α=0.05, when p\<0.05 is considered statistically significant. All analyses were performed using Statistical Product and Service Solutions (SPSS) software (version 22.0). 9. Quality control and quality assurance All research processes should establish standardized operating procedures.