TY - JOUR
T1 - A coordinated approach for the assessment of molecular subgroups in pediatric ependymomas using low-cost methods
AU - de Sousa, Graziella Ribeiro
AU - Lira, Régia Caroline Peixoto
AU - de Almeida Magalhães, Taciani
AU - da Silva, Keteryne Rodrigues
AU - Nagano, Luis Fernando Peinado
AU - Saggioro, Fabiano Pinto
AU - Baroni, Mirella
AU - Marie, Suely Kazue Nagahashi
AU - Oba-Shinjo, Sueli Mieko
AU - Brandelise, Silvia
AU - de Paula Queiroz, Rosane Gomes
AU - Brassesco, María Sol
AU - Scrideli, Carlos Alberto
AU - Tone, Luiz Gonzaga
AU - Valera, Elvis Terci
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/8
Y1 - 2021/8
N2 - Abstract: Although ependymoma (EPN) molecular subgroups have been well established by integrated high-throughput platforms, low- and middle-income countries still need low-cost techniques to promptly classify these molecular subtypes. Here, we applied low-cost methods to classify EPNs from a Brazilian cohort with 60 pediatric EPN patients. Fusion transcripts (C11orf95-RELA, YAP1-MAMLD1, and YAP1-FAM118B) were investigated in supratentorial EPN (ST-EPNs) samples through RT-PCR/Sanger sequencing and immunohistochemistry (IHC) for p65/L1CAM. qRT-PCR and IHC were used to evaluate expression profiling of CXorf67, LAMA2, NELL2, and H3K27me3 in posterior fossa EPN (PF-EPNs) samples. In silico analysis was performed using public microarray data to validate the molecular assignment PF-EPNs with LAMA2/NELL2 markers. RELA cases and YAP1-MAMLD1 fusions were identified in nine and four ST-EPNs, respectively. An additional RELA case was identified by IHC. Of note, LAMA2 and NELL2 gene expression and immunoprofiling were less accurate for classifying PF-EPNs, which were confirmed by in silico analysis. Yet, H3K27me3 staining was sufficient to classify PF-EPN subgroups. Our results emphasize the feasibility of a simplified strategy to molecularly classify EPNs in the vast majority of cases (49/60; 81.7%). A coordinated combination of simple methods can be effective to screen pediatric EPN with the available laboratory resources at most low-/mid-income countries, giving support for clinical practice in pediatric EPN. Key messages: Low- and middle-income countries need effective low-cost approaches to promptly distinguish between EPN molecular subgroups.RT-PCR plus Sanger sequencing is able to recognize the most common types of RELA and YAP1 fusion transcripts in ST-EPNs.Genetic and protein expressions of LAMA2 and NELL2 are of limited value to accurately stratify PF-EPNs.Immunohistochemical staining for H3K27me3 may be used as a robust method to accurately diagnose PF-EPNs subgroups.A coordinated flow diagram based on these validated low-cost methods is proposed to help clinical-decision making and to reduce costs with NGS assessment outside research protocols.
AB - Abstract: Although ependymoma (EPN) molecular subgroups have been well established by integrated high-throughput platforms, low- and middle-income countries still need low-cost techniques to promptly classify these molecular subtypes. Here, we applied low-cost methods to classify EPNs from a Brazilian cohort with 60 pediatric EPN patients. Fusion transcripts (C11orf95-RELA, YAP1-MAMLD1, and YAP1-FAM118B) were investigated in supratentorial EPN (ST-EPNs) samples through RT-PCR/Sanger sequencing and immunohistochemistry (IHC) for p65/L1CAM. qRT-PCR and IHC were used to evaluate expression profiling of CXorf67, LAMA2, NELL2, and H3K27me3 in posterior fossa EPN (PF-EPNs) samples. In silico analysis was performed using public microarray data to validate the molecular assignment PF-EPNs with LAMA2/NELL2 markers. RELA cases and YAP1-MAMLD1 fusions were identified in nine and four ST-EPNs, respectively. An additional RELA case was identified by IHC. Of note, LAMA2 and NELL2 gene expression and immunoprofiling were less accurate for classifying PF-EPNs, which were confirmed by in silico analysis. Yet, H3K27me3 staining was sufficient to classify PF-EPN subgroups. Our results emphasize the feasibility of a simplified strategy to molecularly classify EPNs in the vast majority of cases (49/60; 81.7%). A coordinated combination of simple methods can be effective to screen pediatric EPN with the available laboratory resources at most low-/mid-income countries, giving support for clinical practice in pediatric EPN. Key messages: Low- and middle-income countries need effective low-cost approaches to promptly distinguish between EPN molecular subgroups.RT-PCR plus Sanger sequencing is able to recognize the most common types of RELA and YAP1 fusion transcripts in ST-EPNs.Genetic and protein expressions of LAMA2 and NELL2 are of limited value to accurately stratify PF-EPNs.Immunohistochemical staining for H3K27me3 may be used as a robust method to accurately diagnose PF-EPNs subgroups.A coordinated flow diagram based on these validated low-cost methods is proposed to help clinical-decision making and to reduce costs with NGS assessment outside research protocols.
KW - Ependymoma
KW - Fusion transcripts
KW - H3K27 trimethylation
KW - Low-cost techniques
KW - Molecular subgroups
UR - http://www.scopus.com/inward/record.url?scp=85104841790&partnerID=8YFLogxK
U2 - 10.1007/s00109-021-02074-2
DO - 10.1007/s00109-021-02074-2
M3 - Article
C2 - 33903940
AN - SCOPUS:85104841790
SN - 0946-2716
VL - 99
SP - 1101
EP - 1113
JO - Journal of Molecular Medicine
JF - Journal of Molecular Medicine
IS - 8
ER -