Anti-MYCL1 monoclonal antibody Made to order

Introduction: Cervical cancer is the second most common cancer among women worldwide and the second cause of cancer mortality in women. It has been demonstrated that the process of cervical carcinogenesis displays genetic and environmental epigenetic components. Currently, research is focused on new prognosis markers like oncogene amplification. Objectives: To perform detection of MYCN, C-MYC, MYCL1, ERBB2, EGFR, and AKT2 amplification. Additionally, to detect human papillomavirus in samples from normal cytology smear, cervical intraepithelial neoplasia (CIN) I, II, and III and cervical cancer patients. Methods: Papillomavirus (HPV) genotyping by reverse line blot (RLB) performed and gene amplification by detection with real-time PCR with Taqman probes. Results: HPV was present in 4% of the patients with normal cytology, 48% in CIN I, 63.6% in CIN II, 64% in CIN III, and 70.8% in cervical cancer. Genes amplified in cervical cancer were MYCN (39.1%), ERBB2 (34.7%), and MYCL1 (30.4%); showed higher amplification in high-grade lesions and cervical cancer in relation to low-grade lesions and normal cytology with statistically significant differences. Besides the genes, C-MYC, EGFR, and AKT2 were amplified in samples from patients with cervical cancer by 12%, 18%, and 13%, respectively; we did not find statistical differences. Conclusion: Higher prevalence of gene amplification and HPV was found in high-grade cervical lesions and cervical cancer.

Human cancers modeled in Genetically Engineered Mouse Models (GEMMs) can provide important mechanistic insights into the molecular basis of tumor development and enable testing of new intervention strategies. The inherent complexity of these models, with often multiple modified tumor suppressor genes and oncogenes, has hampered their use as preclinical models for validating cancer genes and drug targets. In our newly developed approach for the fast generation of tumor cohorts we have overcome this obstacle, as exemplified for three GEMMs; two lung cancer models and one mesothelioma model. Three elements are central for this system; (i) The efficient derivation of authentic Embryonic Stem Cells (ESCs) from established GEMMs, (ii) the routine introduction of transgenes of choice in these GEMM-ESCs by Flp recombinase-mediated integration and (iii) the direct use of the chimeric animals in tumor cohorts. By applying stringent quality controls, the GEMM-ESC approach proofs to be a reliable and effective method to speed up cancer gene assessment and target validation. As proof-of-principle, we demonstrate that MycL1 is a key driver gene in Small Cell Lung Cancer.