Publications by authors named "Cesar A Galvan-Diaz"
Acute lymphoblastic leukemia (ALL) is a malignant neoplasm with the highest incidence in the pediatric population. Although the 5-year overall survival is greater than 85%, in emerging countries such as Mexico, the mortality rate is high. In Mexico, B-ALL is the most common type of childhood cancer; different characteristics suggest the presence of the disease; however, the prognosis is dependent on clinical and laboratory features, and no adverse prognostic molecular marker for B-ALL has yet been identified.
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- The study investigates genetic alterations in pediatric B-cell Acute Lymphoblastic Leukemia (B-ALL) in Mexican patients, focusing on their impact on prognosis and treatment.
- A total of 206 patients were analyzed, revealing a notable 21.8% prevalence of specific genetic profiles linked to poorer outcomes and indicating higher risk stratification among the affected.
- The findings suggest that these genetic markers significantly influence overall survival, with variations in mutation frequency compared to other populations, highlighting the need for genomic considerations in treatment strategies.
Article Synopsis
- Acute leukemias (AL) are a leading cause of cancer-related deaths in children under 20 in Mexico, particularly noted in the central-south region, which has been previously understudied compared to Greater Mexico City.
- A population-based study conducted from 2021-2022 identified 388 new cases of AL among children in Puebla, Tlaxcala, and Oaxaca, calculating various incidence rates using demographic data.
- The overall age-standardized incidence rate was around 51.5 cases per million children, with B-cell acute lymphoblastic leukemia being the most prevalent subtype, revealing trends and differences in leukemia incidence among the states.
B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood hematological malignancy worldwide. Treatment outcomes have improved dramatically in recent years; despite this, relapse is still a problem, and the potential molecular explanation for this remains an important field of study. We performed microarray and single-cell RNA-Seq data mining, and we selected significant data with a P -value<0.
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