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Journal: medRxiv
Article Title: Identification of full-length circular RNAs linked with therapy resistance of pediatric cancers
doi: 10.64898/2025.11.28.25340833
Figure Lengend Snippet: a, The scheme shows the workflow of the study. Enriched circRNA fractions of 4 pairs of sensitive and resistant ALK+ ALCL cell models (Karpas-299, SUP-M2, SU-DHL-1, COST) were sequenced in full-length using ONT. Identified resistance-associated isoforms were validated in vitro and in vivo . b, circRNA isoforms were bioinformatically detected with the tools CIRI-long and circFL-seq in the ALKi sensitive (n=4 biologically independent samples) and resistant (n=4 biologically independent samples) groups. The overlap of detected circRNAs is shown as a Venn diagram. circRNAs commonly detected are used as a robust dataset for downstr 2 e 1 am analysis. c, Mean length (nt) of circRNA isoforms by cell line and in the ALKi sensitive (blue) and resistant (red) groups. Data are presented as boxplots. d, Total number of distinct circRNA isoforms in the ALKi sensitive (blue) and resistant (red) groups. The overlap of circRNAs isoforms between the 2 groups is shown as a Venn diagram. e, Density of total distinct circRNA isoforms per chromosome was calculated and normalized to the total coding gene length for each chromosome. The normalized density for both sensitive (blue) and resistant (red) cell models per chromosome is reported. f, Hotspot genes that produce more than 15 distinct circRNA isoforms are shown in the 2 groups from e. In boxplots the center line represents the median, boxes indicate the interquartile range, the whiskers show the 1.5 interquartile range. Data are represented as a barplot showing the absolute number. Source data are provided as a source data file.
Article Snippet: The
Techniques: In Vitro, In Vivo
Journal: medRxiv
Article Title: Identification of full-length circular RNAs linked with therapy resistance of pediatric cancers
doi: 10.64898/2025.11.28.25340833
Figure Lengend Snippet: a, Serum samples of healthy donors (n=10 biologically independent samples) and from patients with ALK+ ALCL (n=4 patients) at diagnosis and after ALKi treatment showing a bad response were analyzed by qRT-PCR. The expression of circSLTM (3,4,5) and circRUNX1 (6,7) are shown. Data are presented as mean ±SD. b, Primary biopsies of patients with ALK+ ALCL with a small-cell containing (n=16 biologically independent samples) or other histological subtype (n=22 biologically independent samples) were analyzed by RNA-seq. c, The patients of b were divided in a group with both circSLTM (3,4,5) and circRUNX1 (6,7) low (n=8) vs. high (n=13) expression and the probability of event-free survival (EFS) in months is shown as a Kaplan-Meier curve. In boxplots the center line represents the median, boxes indicate the interquartile range, the whiskers show the 1.5 interquartile range. Source data are provided as a source data file.
Article Snippet: The
Techniques: Biomarker Discovery, Quantitative RT-PCR, Expressing, RNA Sequencing