| Literature DB >> 35008099 |
Antony Ceraulo1, Hélène Lapillonne2, Meyling H Cheok3, Claude Preudhomme3,4, Hervé Dombret5, Christine Terré6, Juliette Lambert7, Guy Leverger8, Yves Bertrand1, Franck Mortreux9, Eric Wattel10.
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Year: 2022 PMID: 35008099 PMCID: PMC9092411 DOI: 10.1182/bloodadvances.2021006040
Source DB: PubMed Journal: Blood Adv ISSN: 2473-9529
Figure 1.Survival impact of . Kaplan-Meier curves of LFS in the pediatric exploratory set (A), pediatric validation set (B), pediatric entire dataset (C), and adult entire set (D) as well as restricted to patients treated with chemotherapy only (E) or GO) (F). No at risk, number of patients at risk. Patients with high (red curves) and low (blue curves) ABCA3 expression were separated with the best determined cutoff value of 1.20 AU. Hazard ratios (HR) were computed with 95% confidence intervals (95CI), log-rank P values set on the graphs. Quantitative RT-PCR analysis was carried out with iQ SYBR Green Supermix (Bio-Rad) according to the manufacturer’s instructions using oligonucleotides against exon 6 and 7 of ABCA3 (annotated according to FasterDB database (ABCA3_F: CCTTCAACCACAGCAAGGAG, ABCA3_R: TTGGGAAAAGCGGGAAAAGG). Relative quantification of the E6-E7 fragment of ABCA3 transcripts was performed according to the method described by Pfaffl using GUSb and ABL1 as references (GUSb_F: GCCTGGGTTTTGTGGTCATCTATTC, GUSb_R: CAGTAGCCACTTTCATGCCAACTC, ABL1_F: TGGTAGGGGAGAACCACTTG, and ABL1_R: GGTAGCAATTTCCCAAAGCA). Cycling reactions were performed with a C1000 Touch Thermal Cycler (Bio-Rad) and fluorescence signals measured with a CFX96 Real-Time System (Bio-Rad). Data were processed with CFX Manager software version 3.1 (Bio-Rad). RT-qPCR data were expressed in arbitrary units (AU).
Multivariate analyses for OS, EFS, and LFS in the pediatric (upper panel) and adult (lower panel) datasets
| OS | EFS | LFS | |||||||
|---|---|---|---|---|---|---|---|---|---|
| ELAM02 entire set | HR | 95CI |
| HR | 95CI |
| HR | 95CI |
|
| 1.93 | 1.18-3.14 | .009 | 1.92 | 1.31-2.82 | <.001 | 1.81 | 1.21-2.71 | .004 | |
| Risk group | 1.62 | 1.12-2.36 | .011 | 1.32 | 0.98-1.76 | .06 | — | — | — |
| Age (>6 y) | 2.27 | 1.25-4.13 | .007 | 2.04 | 1.30-3.22 | .002 | 1.99 | 1.24-3.22 | .005 |
| Leukocytes (>30 g/L) | 2.02 | 1.24-3.29 | .005 | 1.78 | 1.22-2.60 | .003 | 1.53 | 1.02-2.29 | .041 |
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| HR | 95CI |
| HR | 95CI |
| HR | 95CI |
|
| 1.7 | 0.7-4.0 | .20 | 2.6 | 1.3-6.5 | .01 | 2.6 | 1.1-5.9 | .03 | |
| CD33 expression (>90% blasts +) | 0.5 | 0.3-1.0 | .04 | 0.6 | 0.3-0.9 | .03 | 0.5 | 0.3-1.0 | .05 |
| Normal karyotype | — | — | — | 0.6 | 0.4-1.0 | .06 | — | — | — |
| ELN risk stratification | 2.2 | 1.3-3.5 | .002 | — | — | — | — | — | — |
Cox proportional hazard models factoring variables with a P ≤ .10 in univariate analyses.
HR, hazard ratio; CI95, 95% confidence interval. --, no data.
Riskgroup values are defined according to the ELAM02 and ALFA0701 risk stratification.
Figure 2.(A) MTT assays (Cell Growth Determination kit, Sigma-Aldrich) determining the survival proportions of HEK 293T cells nontransfected and those transfected (using JetPrime) with the plasmids pEGFP-N3 and pEGFP-N3-ABCA3 encoding ABCA3 fused to GFP. (B) MTT assays of HAP1 parental cells and HAP1 cells knocked out for ABCA3 (HAP-ABCA3-KO) using CRISPR-Cas9–induced indels (product ID HZGHC006065c005, Horizon Discovery) upon increasing concentrations of DXR (48-hour incubation). (C) Uptake of DXR in HAP1 parental cells and HAP1-ABCA3-KO cells. The mean fluorescence intensity (MFI) was measured by flow cytometry analysis HAP1 cells after 6-hour exposure to increasing concentrations of DXR. (D) gammaH2AX expression in HAP1 parental cells and HAP1-ABCA3-KO cells exposed to DXR. The primary antiphospho-gammaH2AX antibody (Ser139; Cell Signaling Technology) and secondary anti-rabbit APC-linked antibody (Cell Signaling Technology) was used. (A-D) The mean +/− SEM (n = 3) and P values from Sidak’s multiple analyses are shown (*P < .05; **P < .01; ***P < .001).