FIGURE 2 from An Early Neoplasia Index (ENI10), Based on Molecular Identity of CD10 Cells and Associated Stemness Biomarkers, is a Predictor of Patient Outcome in Many Cancers — Boris Guyot (2023) | RDL Network
FIGURE 2 from An Early Neoplasia Index (ENI10), Based on Molecular Identity of CD10 Cells and Associated Stemness Biomarkers, is a Predictor of Patient Outcome in Many Cancers
Preprint 2023 en
Authors
BG
Boris Guyot
FC
Flora Clément
YD
Youenn Drouet
Abstract
2 min read
<p>The molecular identity of untransformed CD10-positive cells increase with mammary gland transformation. <b>A,</b> CD10 transcript expression in TCGA breast tumors according to the molecular classification compared with normal samples. <b>B,</b> Kaplan–Meier plot of patients with breast cancers in TCGA cohort as a function of CD10 expression level. <b>C,</b> Quantification in a TMA of the percentage of tumors with CD10 IHC staining higher than 20% according to tumor subtype. <b>D,</b> Kaplan–Meier plot of patients with breast cancers from the TMA (as in C) as a function of CD10 protein expression level. <b>E,</b> Schematic representation of the experimental protocol used to obtain identify the ENI10 molecular signature. <b>F,</b> ssGSEA quantification of the CD10 signature score in the different MCF10A-derived cell lines with nontransformed (CT, <i>n</i> = 6), early (MC26, <i>n</i> = 6) and more aggressive (M1B26, <i>n</i> = 8) transformed models. <b>G,</b> ssGSEA ENI10 score of human primary DCIS versus healthy mammary gland (series GSE21422). <b>H,</b> ssGSEA ENI10 score of matched normal or tumoral breast tissue from breast cancer subtypes from TCGA's Pan-Cancer Atlas. <b>I,</b> ssGSEA ENI10 score from RNA-seq transcriptomic data from three normal breast epithelial cells samples (wildtype) and six BRCA mutated healthy epithelial cells samples. <b>J,</b> Kaplan–Meier plots of patients with breast cancers in TCGA cohort as a function of cancer stage and ENI10 score. <b>K,</b> Using transcriptomic data from the “Genomics of drug sensitivity in cancer” project from the Sanger Institute, ENI10 score of human breast cancers cell lines were correlated with their IC<sub>50</sub> to 441 drugs. Drugs showing a significative negative correlation between the ENI10 ssGSEA score and IC<sub>50</sub> (indicating a sensitivity to the drug when the ENI10 score increase) are shown. According to the GDSC guidelines, red dots show drugs with a significative IC<sub>50</sub> correlation with the ENI10 score with a <i>P</i> value inferior to 0.001 and a Benjamini–Hochberg FDR inferior to 0.25. Black dots show suggestive correlations with a <i>P</i> value inferior to 0.005 and a nonparametric <i>P</i> value inferior to 0.1.</p>
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