Literature DB >> 34285060

Improving Risk Stratification for Pediatric Patients with Rhabdomyosarcoma by Molecular Detection of Disseminated Disease.

Godelieve A M Tytgat1,2, Janine Stutterheim3,2, Nathalie S M Lak1,2, Timon L Voormanns2, Lily Zappeij-Kannegieter2, Lieke M J van Zogchel1,2, Marta Fiocco1,4,5, Max M van Noesel1, Johannes H M Merks1, C Ellen van der Schoot2.   

Abstract

PURPOSE: Survival of children with rhabdomyosarcoma that suffer from recurrent or progressive disease is poor. Identifying these patients upfront remains challenging, indicating a need for improvement of risk stratification. Detection of tumor-derived mRNA in bone marrow (BM) and peripheral blood (PB) using reverse-transcriptase qPCR (RT-qPCR) is a more sensitive method to detect disseminated disease. We identified a panel of genes to optimize risk stratification by RT-qPCR. EXPERIMENTAL
DESIGN: Candidate genes were selected using gene expression data from rhabdomyosarcoma and healthy hematologic tissues, and a multiplexed RT-qPCR was developed. Significance of molecular disease was determined in a cohort of 99 Dutch patients with rhabdomyosarcoma (72 localized and 27 metastasized) treated according to the European pediatric Soft tissue sarcoma Study Group (EpSSG) RMS2005 protocol.
RESULTS: We identified the following 11 rhabdomyosarcoma markers: ZIC1, ACTC1, MEGF10, PDLIM3, SNAI2, CDH11, TMEM47, MYOD1, MYOG, and PAX3/7-FOXO1. RT-qPCR was performed for this 11-marker panel on BM and PB samples from the patient cohort. Five-year event-free survival (EFS) was 35.5% [95% confidence interval (CI), 17.5%-53.5%] for the 33/99 RNA-positive patients, versus 88.0% (95% CI, 78.9%-97.2%) for the 66/99 RNA-negative patients (P < 0.0001). Five-year overall survival (OS) was 54.8% (95% CI, 36.2%-73.4%) and 93.7% (95% CI, 86.6%-100.0%), respectively (P < 0.0001). RNA panel positivity was negatively associated with EFS (Hazard Ratio = 9.52; 95% CI, 3.23-28.02), whereas the RMS2005 risk group stratification was not, in the multivariate Cox regression model.
CONCLUSIONS: This study shows a strong association between PCR-based detection of disseminated disease at diagnosis with clinical outcome in pediatric patients with rhabdomyosarcoma, also compared with conventional risk stratification. This warrants further validation in prospective trials as additional technique for risk stratification. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34285060     DOI: 10.1158/1078-0432.CCR-21-1083

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  4 in total

1.  Comprehensive Analysis of PDLIM3 Expression Profile, Prognostic Value, and Correlations with Immune Infiltrates in Gastric Cancer.

Authors:  Xinpeng Hu; Minfeng Chen; Qiang Ruan; Changzheng Shi; Jinghua Pan; Liangping Luo
Journal:  J Immunol Res       Date:  2022-05-12       Impact factor: 4.493

2.  Extracellular Vesicles: A New Source of Biomarkers in Pediatric Solid Tumors? A Systematic Review.

Authors:  Nathalie S M Lak; Elvera J van der Kooi; Agustin Enciso-Martinez; Estefanía Lozano-Andrés; Cees Otto; Marca H M Wauben; Godelieve A M Tytgat
Journal:  Front Oncol       Date:  2022-05-24       Impact factor: 5.738

3.  Novel Circulating Hypermethylated RASSF1A ddPCR for Liquid Biopsies in Patients With Pediatric Solid Tumors.

Authors:  Lieke M J van Zogchel; Nathalie S M Lak; Onno J H M Verhagen; Ahmed Tissoudali; Mohammed Gussmalla Nuru; Nina U Gelineau; Lily Zappeij-Kannengieter; Ahmad Javadi; Eline A M Zijtregtop; Johannes H M Merks; Marry van den Heuvel-Eibrink; Antoinette Y N Schouten-van Meeteren; Janine Stutterheim; C Ellen van der Schoot; Godelieve A M Tytgat
Journal:  JCO Precis Oncol       Date:  2021-11-17

4.  Bioinformatical analysis identifies PDLIM3 as a potential biomarker associated with immune infiltration in patients with endometriosis.

Authors:  Lei Gan; Jiani Sun; Jing Sun
Journal:  PeerJ       Date:  2022-03-30       Impact factor: 2.984

  4 in total

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