Caris GPSai Publication -Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type
Importance of Comprehensive profiling Targeted therapies and more recently immune checkpoint inhibitors (ICI) have transformed the treatment landscape of advanced NSCLC
Reaching the Gold Standard of Technical Analysis https://pubmed.ncbi.nlm.nih.gov/32217756/
Importance of WTS MI Transcriptome: Comparison Shows RNA is Superior for Fusion Analysis (vs DNA)
Fusion transcripts (i.e. chimeric RNAs) resulting from gene fusions have been used successfully for cancer
diagnosis, prognosis, and therapeutic applications. A recent study by Benayed, et al. shows that RNA fusion analysis identifies additional alterations as compared to DNA fusion analysis. In this analysis DNA sequencing did not detect any fusions in NTRK 2/3 that RNA was able to detect. In WINTHER researchers were able to match 35 percent of consented patients to treatments based on DNA sequencing or RNA expression analysis. If the study had relied only on DNA information, the match rate would have been around 23 percent
Abraham et al. “Clinical Validation of a Machine-learning-derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer.” A C. 2020.
Abraham et al. “Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type.” Transl Oncol. 2021.
ASCO Posters (high scientific innovation) https://www.carislifesciences.com/publications/
Importance of WES. Translating whole-exome sequencing (WES) for prospective clinical use may have an impact on the care of patients with cancer
Benayed et al. “High yield of RNA sequencing for targetable kinase fusions in lung adenocarcinomas with no driver alteration detected by DNA sequencing and low tumor mutation burden.” Clinical Cancer Research, 2019.
Caris Folfirstai Publication - Clinical Validation of a Machine-learning-derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer
Caris Folfirstai Publication - Clinical Validation of a Machine-learning-derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer
Caris GPSai Publication -Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type
Caris/POA Publications (high scientific innovation)
Genomic profiling in low grade serous ovarian cancer: Identification of novel markers for disease diagnosis and therapy
Importance of WES Translating whole-exome sequencing (WES) for prospective clinical use may have an impact on the care of patients with cancer
Importance of WTS MI Transcriptome: Comparison Shows RNA is Superior for Fusion Analysis (vs DNA)
Fusion transcripts (i.e. chimeric RNAs) resulting from gene fusions have been used successfully for cancer
diagnosis, prognosis, and therapeutic applications. A recent study by Benayed, et al. shows that RNA fusion analysis identifies additional alterations as compared to DNA fusion analysis. In this analysis DNA sequencing did not detect any fusions in NTRK 2/3 that RNA was able to detect. In WINTHER researchers were able to match 35 percent of consented patients to treatments based on DNA sequencing or RNA expression analysis. If the study had relied only on DNA information, the match rate would have been around 23 percent
Improving Outcomes Caris Folfirstai Publication - Clinical Validation of a Machine-learning-derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer
Merino et al. “TMB Harmonization Consortium. Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project.” J Immunother Cancer. 2020
Reaching the Gold Standard of Technical Analysis
Tsimberidou et al. “Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine.” J Hematol Oncol. 2019
Vanderwalde et al. “Microsatellite instability status determined by next-generation sequencing and compared with PD-L1 and tumor mutational burden in 11,348 patients.” Cancer Med. 2018.
WTS: Analyzing the Fusion Partner is Relevant
Zimmer et al. “Treatment According to Molecular Profiling in Relapsed/Refractory Cancer Patients: A Review Focusing on Latest Profiling Studies.” Comput Struct Biotechnol J. 2019.
