Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This is a prospective, non-randomized, observational, clinical development study. Pierian Biosciences is utilizing ChemoINTEL and ImmunoINTEL assay measurements in human tumour cells from patients with advanced stage epithelial ovarian cancer (EOC) to develop a mathematical algorithm which will be able to predict a patient's tumour's sensitivity to specific chemotherapy drugs. The study involves using a sample of tumour biopsy taken during standard of care surgery, with a matched blood sample if possible. Medical history, pathology information and information on chemotherapy for up to 6 cycles will be requested. The information will then be used to developed an algorithm to predict tumour sensitivity to treatment.
The justification for this study is to provide evidence based predictive scoring of available cytotoxic drug based on the patient's own tumour response characteristics to guide the physician's therapeutic selections and enable a personalized treatment plan. This study will generate a predictive algorithm using individual patient tumour ChemoINTEL and ImmunoINTEL assay response metrics paired with the patient's clinical response data. Subsequent Clinical Validation and Clinical Utility Studies will be conducted to provide further evidence for utilization of personalized predictive response scoring of available therapeutics enabling section of personalized treatment regiments based on each patient's unique tumour as an improvement over guideline driven approaches.
Cancer treatments and selection of cytotoxic drugs used in different situations continues to be guideline driven. These selections are generally based on treatment protocols developed as a result of large, population-based, prospective, randomized, multicenter, well-controlled phase 3 studies that analyze treatment outcomes (progression-free survival [PFS] and overall survival [OS]) as a function of treatment received by patient cohorts. This approach was necessitated by the stark reality that no "predictive" or "treatment-directing" diagnostic technologies were available, a circumstance that, to an overwhelming degree, remains unaltered. Treatment "guidelines" are utilized by most oncologists globally as they recommend treatment algorithms and options based on data with the highest levels of evidence. Several treatment guidelines are available globally such as those produced by the National Comprehensive Cancer Network (NCCN), the American Society of Clinical Oncology (ASCO), and European Society of Medical Oncology (ESMO). These guidelines provide evidence-based recommendations to guide physicians and outline appropriate methods of treatment and care. The guidelines often address specific clinical situations (disease oriented) on the use of approved medical products, procedures, or tests (modality oriented).
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 | De Novo (no prior cytotoxic therapy) receiving primary cytoreductive surgery and adjuvant chemotherapy |
| |
| Group 2 | De Novo (no prior cytotoxic therapy) receiving neoadjuvant chemotherapy and interval cytoreductive surgery followed by additional chemotherapy |
| |
| Group 3 | Recurrent (one or more prior lines of previous cytotoxic therapy) receiving next line of chemotherapy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | No intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| Prediction Algorithm | To develop a prediction algorithm that uses input from the ChemoINTEL and ImmunoINTEL assay metric results and provides an accurate prediction of a patient's cancer's sensitivity to specific chemotherapeutic agents by assessing the patient's response based on either RECIST criteria (v 1.1, 2009), CA-125 KELIM Score, and/or circulating tumor DNA changes to the administered chemotherapy following three cycles of SOC chemotherapy. | 2 years |
Not provided
Not provided
Screening Criteria:
Females ≥18 years of age
Patient must sign an Informed Consent Form
Patient is suspected to have one of the following
Inclusion Criteria:
Females ≥18 years of age
Diagnosis by pathology of one of either advanced stage EOC, Primary Peritoneal Carcinomatosis, or Fallopian Tube Carcinoma
Patient provided an evaluable tumor or peritoneal fluid specimen prior to initiating chemotherapy for ChemoINTEL assay analysis
Patient received at least 3 cycles of standard of care chemotherapy for advanced stage EOC with single agent or combination of drugs summarised as below, following biopsy OR surgical resection
Patients will have an appropriate evaluation after their third cycle and sixth cycle of SOC chemotherapy to document response by either RECIST 2009 v1.1, CA-125 KELIM Scoring, and/or circulating tumor DNA longitudinal monitoring
Patient signed Informed Consent Form
Exclusion Criteria:
Female with ovarian cancer
Not provided
Ovarian cancer diagnosis
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Norman Purvis, PhD | Contact | +44 (0)333 034 1690 | npurvis@pierianbio.com | |
| Maria Maguire, PhD | Contact | 07824609720 | maria.maguiire2@nhs.net |
| Name | Affiliation | Role |
|---|---|---|
| Robert Henry | Pierian Biosciences Ltd | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Liverpool Women's NHS Foundation Trust | Recruiting | Liverpool | Merseyside | L8 7SS | United Kingdom |
Plan to disseminate the findings and publish the findings, all data will be anonymised
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Tumour Biopsy Blood sample Ascites fluids
| ID | Term |
|---|---|
| D010051 | Ovarian Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D010049 | Ovarian Diseases |
| D000291 | Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D000091662 | Genital Diseases |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |
Not provided
Not provided