Postoperative radiotherapy timing, molecular subgroups and treatment outcomes of Thai pediatric patients with medulloblastoma
Jaruthien, T.; Nantavithya, C.; Santisukwongchote, S.; Shuangshoti, S.; Techavichit, P.; Sosothikul, D.; Amornfa, J.; Shotelersuk, K.
Show abstract
IntroductionMedulloblastoma (MB) is the most common childhood malignant brain tumor worldwide. Recently, molecular classification was established and started to play a role in the management of MB; however, studies involving molecular defined MB in Southeast Asia have been limited. We aimed to describe, and correlate clinical characteristics and molecular subgroups with therapeutic outcomes of Thai pediatric patients with MB. Materials and MethodsPediatric MB patients treated at King Chulalongkorn Memorial Hospital in Thailand from 2008 to 2018 were recruited. Patients were classified by clinical characteristics into standard- and high-risk groups, which determined treatment regimen. Retrospectively, available tumor tissues were classified into 3 molecular subgroups using immunohistochemistry: 1) WNT, 2) SHH, and 3) non-WNT/non-SHH. The primary outcome was 5-year overall survival (OS). Risk factors associated with OS were analyzed using cox regression analysis. ResultsFifty-three Thai pediatric patients with MB were enrolled. The median follow-up time was 60 months. The 5-year OS for all patients, and patients with standard-risk and high-risk were 74.2%, 76.3% and 71.4%, respectively. Tumor tissues of 24 patients were available, of which 23 could be molecularly classified. Two, one and 20 were in the WNT, SHH and non-WNT/non-SHH subtypes with 5-year OS of 100%, 100% and 78.9%, respectively. Using multivariate analysis, the interval of more than 8 weeks between surgery and radiotherapy was significantly correlated with a decrease in the 5-year OS. ConclusionInterval between surgery and radiotherapy within 8 weeks was associated with good therapeutic outcomes among Thai pediatric patients with MB. Simplified molecular subtyping combined with clinical characteristics is practical in risk classification of patients with MB in institutes with limited resources.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Risk and Outcome of Second primary malignancy in patients with classical Hodgkin lymphoma 92%
- Correlation Analysis of Breast Cancer Molecular Characteristics and Epithelial-Mesenchymal Transition in Circulating Tumor Cells: Based on Clinical Cases 90%
- Computed Tomography Features of COVID-19 in Children: A Systematic Review and Meta-analysis 89%
Similar papers in this journal
- Predictive factors for the development of peritumoral brain edema after LINAC-based radiation treatment in patients with intracranial meningioma 96%
- Childhood Cancer Survival in the Highly Vulnerable Population of South Texas: A Cohort Study 94%
- Changes in the tumor microenvironment and treatment outcome in glioblastoma: A pilot study 93%
Similar papers in this journal
- Feasibility of Administering Human Pancreatic Cancer Chemotherapy in a Spontaneous Pancreatic Cancer Mouse Model 95%
- Study Protocol of A Phase II Study to Evaluate Safety and Efficacy of Neo-adjuvant Pembrolizumab and Radiotherapy in Localized Rectal Cancer 94%
- Updated Results of 3,050 Non-melanoma Skin Cancer (NMSC) Lesions in 1725 Patients Treated with High Resolution Dermal Ultrasound-Guided Superficial Radiotherapy, A Multi-institutional Study 93%
Similar papers in this journal
Similar papers in this journal
- A Population Study of Clinical Trial Accrual for Women and Minorities in Neuro-Oncology Following the NIH Revitalization Act 90%
- SIOP Ependymoma I: Final results, long term follow-up and molecular analysis of the trial cohort: A BIOMECA Consortium Study 90%
- 1--4-phenylpiperazine Treatment After Brain Irradiation Preserves Cognitive Function in Mice 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.