ChemoINTEL Assay Algorithm Development Study: In-Vitro Cytotoxic Drug Induced Apoptosis Correlation with Patient Clinical Response to Administered Chemotherapy in Patients

Pierian Biosciences100 enrolled

Overview

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).

Eligibility

Sex: FEMALEMin age: 18 Years

Medical Language ↔ Plain English

Screening Criteria: * Females ≥18 years of age * Patient must sign an Informed Consent Form * Patient is suspected to have one of the following * advanced stage Epithelial Ovarian Cancer (EOC) * advanced stage Primary Peritoneal Carcinomatosis * advanced stage Fallopian Tube Carcinoma Inclusion Criteria: * Females ≥18 years of age * Diagnosis by pathology of one of either advanced stage EOC, Primary Peritoneal Carcinomatosis, or Fallopian Tube Carcinoma * Newly diagnosed * Recurrent * 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 * Carboplatin * Cisplatin * Cyclophosphamide-4HC active metabolite * Docetaxel * Doxorubicin * Etoposide * Fluorouracil * Gemcitabine * Ifosfamide-4HI active metabolite * Irinotecan * Oxaliplatin * Paclitaxel * Pemetrexed * Topotecan * Vinorelbine * Bevacizumab (Avastin) * 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: * Patient has not signed an ICF to participate in a clinical investigation * Patient has a cancer other than advanced stage EOC * Patient did NOT receive SOC chemotherapy, single agents or combination treatment from the indicated list above. * Patients did NOT have sufficient viable cells recovered from either a fresh tumor dissociation or peritoneal fluid specimen collected prior to initiating chemotherapy available for the minimum ChemoINTEL assay analysis of Carboplatin, Cisplatin, Docetaxel, and Paclitaxel test conditions

Outcomes

Primary Outcomes

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.

Time frame: 2 years

ChemoINTEL Assay Algorithm Development Study: In-Vitro Cytotoxic Drug Induced Apoptosis Correlation with Patient Clinical Response to Administered Chemotherapy in Patients

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Central Contacts