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Genetic dissection of the miR-200вЂ“Zeb1 axis reveals its importance in tumor differentiation and invasion. Title AC, Hong S-J, Pires ND, HasenГ¶hrl L, Godbersen S, Stokar-Regenscheit N, et al. MicroRNA-429 induces tumorigenesis of human non-small cell lung cancer cells and targets multiple tumor suppressor genes. Lang Y, Xu S, Ma J, Wu J, Jin S, Cao S, et al. Metastasis is regulated via microRNA-200/ZEB1 axis control of tumour cell PD-L1 expression and intratumoral immunosuppression. 2013 4:2427.Д¬hen L, Gibbons DL, Goswami S, Cortez MA, Ahn Y-H, Byers LA, et al. Tumour angiogenesis regulation by the miR-200 family. Pecot CV, Rupaimoole R, Yang D, Akbani R, Ivan C, Lu C, et al. The rejuvenated scenario of epithelial-mesenchymal transition (EMT) and cancer metastasis. MicroRNAs as regulators of epithelial-mesenchymal transition. Gregory PA, Bracken CP, Bert AG, Goodall GJ. TWIST1 a new determinant of epithelial to mesenchymal transition in EGFR mutated lung adenocarcinoma. Pallier K, Cessot A, CГґtГ© J-F, Just P-A, Cazes A, Fabre E, et al. ZEB1-responsive genes in non-small cell lung cancer. Gemmill RM, Roche J, Potiron VA, Nasarre P, Mitas M, Coldren CD, et al. ZEB1: at the crossroads of epithelial-mesenchymal transition, metastasis and therapy resistance. Epithelial to mesenchymal transition inducing transcription factors and metastatic cancer.

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Epidermal growth factor receptor cooperates with signal transducer and activator of transcription 3 to induce epithelial-mesenchymal transition in cancer cells via up-regulation of TWIST gene expression. Lo H-W, Hsu S-C, Xia W, Cao X, Shih J-Y, Wei Y, et al. TGF-beta and epithelial-to-mesenchymal transitions. The regulatory role of microRNAs in EMT and cancer. Epithelial-mesenchymal transitions in development and disease. Thiery JP, Acloque H, Huang RYJ, Nieto MA. The basics of epithelial-mesenchymal transition. Epithelial-to-mesenchymal transition and micrornas in lung cancer. Legras A, PГ©cuchet N, Imbeaud S, Pallier K, Didelot A, Roussel H, et al. Osimertinib in resected EGFR-mutated non-small-cell lung cancer. Wu Y-L, Tsuboi M, He J, John T, Grohe C, Majem M, et al. SEER Cancer Statistics Review, 1975вЂ“2015. Noone A, Howlader N, Krapcho M, Miller D, Brest A, Yu M, et al. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Core EMT-miR, regulators and not EMT itself, identify NSCLC patients with a low risk of relapse after surgery. MiR-200 family members do not have similar predictive value. Tumour unsupervised clustering based on miR expression identified two good prognostic groups, unrelated to the EMT score, suggesting that miR profiling may have an important clinical value. We validated these associations on The Cancer Genome Atlas data. Individually, all miR-200 were inversely associated with the EMT score, but only chromosome-1 miRs, miR-200a, b, 429, were associated with disease-free survival ( pвЂ‰=вЂ‰0.08, 0.05 and 0.025) and overall survival ( pвЂ‰=вЂ‰0.013, 0.003 and 0.006). Most tumours presented with an EMT-hybrid state and the EMT score was not predictive of outcome. We quantified EMT transcription factors, microRNAs (miRs) of the miR-200, miR-34 families and miR-200 promoter hypermethylation to identify outcome predictors.

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We validated a 7-gene EMT score using a consecutive series of 176 resected NSCLC. We assessed the clinical significance of epithelialвЂ“mesenchymal transition (EMT) and explored its association with the : regulation hub to refine prognostic information. I've been stuck on this for weeks, no amount of web searching/paper reading helped.Patients with non-small cell lung cancer (NSCLC) receiving curative surgery have a risk of relapse, and adjuvant treatments only translate into a 5% increase in 5-year survival. Any pop gen people out there that have a clue what to do? How can I score these and resolve this issue while keeping consistency for my analysis later? I see this shift everywhere and I've already ruled out contamination and I'm positive these peaks are real. This 'shift' doesn't make sense considering my markers are dinucleotide and should be spaced 2 bp apart, right? So either 152 is actually 151/153 or 161 is actually 162/160. For example, at a given locus for one individual I have one allele peak at 152 while the other allele peak is at 161 (It's an obvious heterozygote). My alleles are shifted to where they are not evenly distributed in their sizes. I'm using GeneMapper 4.0 to score the alleles of said markers but something isn't making sense. My advisor and post-docs haven't been very helpful, so I need some help! I have dinucleotide microsatellite markers that I've run on a set of individuals. I'm a masters student attempting to conduct a parentage analysis on a population of fish for my thesis.

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