Personalized medicine aims to identify patients who require treatment and subsequently select the right therapy based on individual factors and tumor characteristics, i.e. personalized medicine targets to identify the right patients for the right therapy. Prognostic biomarkers provide information on the risk of disease recurrence whereby predictive ones will inform the physician of the potential clinical response of the patient to a given cancer therapy.
“In personalized medicine biomarkers are used to predict prognosis (prognostic biomarkers) and treatment success (predictive biomarkers)”.
Picture: Personalized Medizine
High risk breast cancer
One in eight to ten women will get breast cancer during their lifetime. More than 460,000 women in Europe are newly diagnosed with breast cancer each year, with about 50% characterized as high-risk.
Therapy concepts for early breast cancer depend on prognostic risk classification, i.e. pending on the risk for disease recurrence patients will be treated more or less aggressively.
Prognostic risk classification by clinico-pathological assessment includes risk factors such as axillary lymph node status, tumor size, tumor grade, hormone-receptor status, patient age and Human Epidermal Growth Factor Receptor 2 (HER2)-status. While for patients at low and at high risk treatment recommendations are straightforward, the risk-benefit analysis for chemotherapy in patients at intermediate risk is challenging. Multigene signatures help to further stratify the intermediate risk group into low-risk (endocrine therapy, no systemic chemotherapy needed) and high-risk (indication for systemic chemotherapy) categories.
Picture: Risk categories and response prediction in early breast cancer
Patients with early breast cancer at high risk for disease recurrence require systemic chemotherapy. Anthracycline-based chemotherapy is considered standard of care according to national and international guidelines. As for any systemic chemotherapy, anthracyclines are associated with considerable side effects such as cardiac toxicity as well as secondary hematological malignancies (Azim et al., Annals of Oncology (2011) 22, 1939-1947).
Selection of the right patients for anthracycline-based chemotherapy vs. alternative chemotherapy (e.g. DC or P or CMF) is now supported by the PITX2-assay. The assay provides information to the treating physician, which patients are likely to benefit from anthracycline-based chemotherapy and which are not.
Response prediction by PITX2 DNA-methylation provides valuable information on who has a high probability to benefit from anthracycline-based chemotherapy versus who should be considered for alternative chemotherapy regimen.
PITX2 DNA-methylation, a prognostic and predictive biomarker
DNA-methylation is a common and early event in cancer indications, including breast cancer. DNA-methylation is observed in regulatory regions of specific genes and affects gene expression. The pituitary homeobox gene 2 (PITX2) is one of these regulatory genes and the methylation status of the PITX2 promotor has been shown to be prognostic for disease-free survival (DFS) and overall survival (OS) in various indications (see literature list PITX2)
Significant evidence has accumulated about PITX2 serving as prognostic and predictive biomarker in breast cancer, especially in hormone-receptor positive disease (Aubele et al., Disease Markers, 2017). In the field of breast cancer treatment, there is still an unmet need to predict the necessity, efficacy, and potential side effects of drugs and the outcome of breast cancer patients under therapy – and thus quality of life – while also avoiding high treatment-related costs and unnecessary chemotherapy or endocrine therapy. Diagnostic tests, which can predict response of a breast cancer patient to a certain cancer drug, are highly needed and yet still in short supply (Schmitt et al, Breast Care, 2018).
The therascreen PITX2 Assay
The therascreen PITX2 RGQ PCR Kit has been developed by Therawis Diagnostics together with its development partner Qiagen using reliable RGQ PCR technology and routinely available FFPE tissue (Napieralski et al., Protocol Exchange, 2018, Schricker et al., Sci Rep, 2018).
The therascreen PITX2 RGQ PCR Kit is CE-certified and commercially available since February 2018 (Link to QIAGEN product site).
The assay is a unique DNA methylation test that determines the percent methylation ratio (PMR) in promoter 2 of the pituitary homeobox transcription factor 2 (PITX2) gene as a novel biomarker. The kit has been optimized to detect and differentiate between methylated and unmethylated areas within the PITX2 promoter and is characterized by the following properties.
Clinically validated CE-certified IVD (in-vitro diagnostic)
Limit of Detection (LOD): PMR 4 to PMR 92
Range of linearity: PMR 5 to PMR 50
Simple and efficient workflow with Ready-to-use solutions and reaction mixes
Sample to Insight in <48 hours
Automated software using Rotor-Gene AssayManager v2.1 for quick and easy results interpretation
Picture: therascreen PITX2 RGQ PCR Kit – workflow
The therascreen PITX2 RGQ PCR assay is a CE-certified test. The whole workflow from sample to insight is performed using readily available kits within 48 hours.
Kits can be ordered at manufacturer’s homepage (for further details klick here).
therascreen PITX2 RGQ PCR requirements:
For test performance the following sample material is required:
5 µm unstained slides of formalin-fixed, paraffin-embedded breast cancer tissue material
Surface area of at least 100 mm²
Overall 205 patients (ER+, PR+, N+, HER2-) were included in a prospective analysis using archived formalin-fixed paraffin-embedded (FFPE) tissues. These tissues were analyzed with the therascreen PITX2 RGQ PCR assay to determine the percent DNA-methylation ratio (PMR; Schmitt et al., Breast Care, 2018).
Thereof, 60 FFPE samples were used to confirm a pre-defined PMR cut-off value of 12 which separates patients who benefit more versus less likely from anthracycline based chemotherapy with or without endocrine therapy. In these 60 patients, the cut-off value of PMR = 12 was confirmed by log-rank statistics when tested over a PMR range from 0 to 50 (Fig 1).
Picture: Cut-off value of PMR = 12 was confirmed
Statistical determination of PITX2 DNA-methylation PMR cut-off points (n=60); competing risk analysis, 5-year time of follow-up. y-Axis: standardized log-rank statistics; x-axis: PMR.
The remaining 145 samples were used to clinically validate the PMR cut-off of 12. Applying 10-year follow-up as primary study endpoint, Patients with low PMRs (≤ 12) demonstrated increased disease-free survival, patients with high PMRs (≥12) showed a statistically significant shorter disease-free survival.
Picture: PITX2 hypermethylation predicts poor patient outcome
Kaplan-Meier survival analysis with 10-year time of follow-up. The Clinical Validation Study Group (n=145) contains patients treated with anthracycline-based chemotherapy with and without endocrine therapy (Schmitt et al, Breast Care, 2018). The Kaplan-Meier analyses resulted in HR = 2.74 with pronoounced statistical significance (p < 0.001; 955 CI 1.65-3.54).