Project description:In this study we want present a bank of metastatic colorectal cancer (mCRC) Patient Derived Organoids (PDOs) obtained from Patient Derived Xenografts (PDXs). These models are annotated with different omics to advance our understanding of CRC. We wanted to create a resource for the scientific community to assess the predictive reliability of these preclinical models. We performed comparative analyses between PDOs and matched PDXs to assess the similarities of these two platforms regarding molecular profiles and transcriptional classification. Moreover, we analyzed how these models respond to Cetuximab, a chimeric monoclonal antibody, normally given to patients after chemotherapy, that inhibits EGFR. After having assessed models’ reliability with Cetuximab, we aimed at identifying potential synergistic drugs to individuate new possible therapeutic prospects.
Project description:Patient derived xenografts (PDXs) of human EGFR-mutant lung cancer were propagated in mice and treated with osimertinib or control to investigate the transcriptional adaption resposne.
Project description:Patient-derived tumor xenografts (PDXs) increasingly are being used as preclinical models to study human cancers and to evaluate novel therapeutics, as they reflect clinical cancers more closely than established tumor cell lines. With >100 PDXs established from resected non-small cell lung carcinomas (NSCLC), we reported previously that xenograftability correlates significantly with poorer patient prognosis. In this study, genomic, transcriptomic, and proteomic profiling of 36 PDXs showed greater similarity in somatic alterations between PDX and primary tumors than with cell lines, using publicly available data on the latter. A higher number of somatic alterations among 865 frequently altered genes in the PDX tumors was associated with better overall patient survival (HR=0.15, p=0.00015) compared to patients with corresponding PDXs characterized by a lower number of alterations; this was validated with the TCGA lung cancer patient dataset (HR=0.28, p=0.000022). These passenger-like alterations, identified in PDXs, link cell-cell signaling and adhesion to patient prognosis. Total RNAs from xenograftswere amplified by DASL kit and hybridized to Illumina HT12v4 chip
Project description:We performed in-vivo selection of human patient derived colorectal cancer xenografts. 4 independent highly-liver metastatic sub-lines (lvm PDXs) were generated. Those lvm PDXs were harvested with the corresponding parental PDX tumors from mice and then we performed MACS mice cell depletion followed by FACS sorting to obtain human EpCAM positive and mice MHC negatitve populations. total RNA was extracted from those ex-vivo tumors and high-throuput sequencing was performed
Project description:Sensitive versus Resistant patient-derived colorectal cancer tumor xenografts with PIK3CA mutant against saracatinib (AZD0530) Sensitive versus Resistant patient-derived colorectal cancer tumor xenografts with PIK3CA mutant against saracatinib (AZD0530)
Project description:Researchers collect specimens from advanced or recurrent colorectal cancer (CRC) patients to conduct molecular profiling and establish tumor organoids (PDOs)/ patient-derived xenografts (PDXs). The aim of this study is to identify clinical actionable targets and predict in vivo response of the tumor to targeted drugs by using PDOs/ PDXs. And the above-mentioned studies will provide the patients with potential personalized cancer treatment options.