Caris Life Sciences®(Caris), the leading molecular science and technology company actively developing and delivering innovative solutions to revolutionize healthcare, to present findings that provide a deeper understanding that tumor expression of genes related to extent of drug exposure, stratified by p53 status, is associated with clinical outcomes on the common chemotherapeutic regimens used to treat metastatic colorectal cancer (CRC). These results will be presented at the 2022 American Association for Cancer Research (AACR) Annual Meeting being held April 8 - 13, 2022 in New Orleans, Louisiana.
The research with poster titled, "Prognostic and predictive drug-induced gene signatures for colorectal cancer patients personalized based on p53 status and treatment with FOLFOX, 5-FU, oxaliplatin or irinotecan" (Abstract #1231), was led by Wafik El-Deiry, M.D., Ph.D., FACP, Director of Brown University's Legorreta Cancer Center, Associate Dean at the Warren Alpert Medical School, a member of Caris' Precision Oncology Alliance (POA). Caris' POA is a growing network of leading cancer centers across the globe that collaborate to advance precision oncology and biomarker-driven research. This work is being presented in New Orleans by Lindsey Carlsen, a Pathobiology graduate student in the EL-DEIRY Lab at Brown.
The goal of this study was to identify predictive biomarkers for chemotherapies used in CRC. The study used CRC cell lines to identify differentially expressed genes following 5-fluorouracil, irinotecan, or oxaliplatin treatment and stratified the signatures based on p53 status. From these in vitro studies, the researchers then examined whether these genes and gene signatures could predict CRC patient outcomes following chemotherapy (FOLFOX, 5-fluorouracil, irinotecan or oxaliplatin). 2,983 wild-type and 6,229 loss-of-function p53 CRC patient samples were analyzed by DNA/RNA next-generation sequencing at Caris Life Sciences. Real-world survival outcomes were inferred from insurance claims data and Kaplan-Meier estimates. Both prognostic and non-prognostic gene expression had a significant effect on survival outcomes following specific drug treatments.
This study helps us understand the importance that gene signatures have in demonstrating an enhanced predictive ability compared to individual transcripts, Bridging basic and clinical research, this research allows us to better understand which therapies are more likely to benefit CRC patients."
El-Deiry.
The study found that tumor expression of genes related to drug exposure can predict outcomes after chemotherapy treatment:
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High EGR1 and FOS mRNA independently predict response to FOLFOX in patients with wild-type p53 tumors.
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Low CCNB1 mRNA correlates with good prognosis of CRC patients with tumors harboring TP53 loss of function mutations.
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Low expression of BTG2 predicts better prognosis in patients with MSI-High TP53 mutated tumors.
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Gene signatures may demonstrate enhanced predictive ability as compared to individual transcript effects.
Caris' comprehensive molecular profiling assesses whole exome (DNA), whole transcriptome (RNA) and protein expression, providing an unmatched resource and the ideal path forward to conduct the translational research to accelerate discovery for detection, diagnosis, monitoring, therapy selection and drug development to improve the human condition.
About Caris Life Sciences
Caris Life Sciences® (Caris) is the leading molecular science and technology company actively developing and delivering innovative solutions to revolutionize healthcare and improve patient outcomes. Through comprehensive molecular profiling (Whole Exome and Whole Transcriptome Sequencing) and the application of advanced artificial intelligence (AI) and machine learning algorithms, Caris has created the large-scale clinico-genomic database and cognitive computing needed to analyze and unravel the molecular complexity of disease. This information provides an unmatched resource and the ideal path forward to conduct the basic, fundamental research to accelerate discovery for detection, diagnosis, monitoring, therapy selection and drug development to improve the human condition.