SPECS
Strategic Partnering to Evaluate Cancer Signatures (SPECS)
The Strategic Partnering to Evaluate Cancer Signatures (SPECS) program consisted of multi-institutional, multidisciplinary research teams. The SPECS program leveraged NCI’s investment in cancer clinical trials, cancer centers, NCI intramural programs, and the Specialized Programs of Research Excellence (SPORE) program. The projects included collaborations with biotechnology companies, community hospitals, national laboratories, and academic institutions in the United States, Canada, and Europe.
The goals of the SPECS programs were:
- To translate molecular signatures/profiles derived from comprehensive molecular analysis of tumors to improved patient management and ultimately improved patient outcomes.
- To establish strategic partnerships that bring together the interdisciplinary teams needed to evaluate the potential clinical utility of molecular signatures.
- To evaluate molecular signatures previously correlated with important clinical parameters such as recurrence, survival or response to therapy.
- To confirm and refine the molecular signatures.
- To develop robust, reproducible assays for the signatures that can be incorporated into clinical validation trials.
The SPECS I program was initiated in 2004 and supported six research teams studying six different types of cancers. More information can be found here.
The SPECS II program was initiated in 2010 and supported research teams studying five different types of cancers. More information can be found here.
SPECS
- Overview
- SPECS Projects
- SPECS II Projects
- Molecular Signatures for Outcome Prediction and Therapeutic Targeting in ALL
- Molecular Diagnosis and Prognosis in Aggressive Lymphoma
- Validation of Prognostic and Pathway Signatures in Lethal Prostate Cancer
- Squamous Cell Carcinoma of the Lung: Validation of Molecular Signatures for Prognosis
- Individualizing Colon Cancer Therapy Using Hybrid RNA and DNA Molecular Signatures
- SPECS I Projects
- Molecular Signatures of Lung Cancer
- Molecular Signatures to Improve Diagnosis and Outcome Prediction in Lymphoma
- Biological Breast Cancer Classification by qRT-PCR
- Evaluation of Predictive Signatures of Prostate Cancer
- Diagnostic and Prognostic Sarcoma Signatures
- Leukemia Signatures for Risk of Classification & Targeting