A recent nationwide study conducted by CLIC partners has suggested that maternal use of nitrosatable drugs during pregnancy may be associated with modestly elevated risks of several rare childhood cancers,…
Despite remarkable advances in the treatment of B-cell acute lymphoblastic leukemia (B-ALL), racial/ethnic disparities in incidence and outcomes persist, suggesting inherited genetic differences in leukemia susceptibility and prognosis. Although African…
Understanding the causes of childhood leukemia—the most common cancer among children—remains a global research priority. Studies have identified abnormal chromosomes—extra, missing, or structurally rearranged—in cells at birth in most childhood…
Traditional epidemiological studies come with a variety of biases: recall bias, social desirability bias, and selection bias to name a few. CLIC partners from the United Kingdom, Drs. Audrey Bonaventure,…
In June 2025, two of our CLIC partners, Drs. Michael Scheurer and Joseph Wiemels joined a team of scientists at the International Agency for Research on Cancer (IARC) to discuss…
Building genomic datasets (i.e. genomewide association studies, GWAS) for childhood cancer is a lot of work. Childhood cancer is thankfully rare, so often GWAS datasets must be cobbled together with…
Wilms Tumor (WT), a solid tumor in the kidney, is the fourth most common cancer in children. Pediatric cancer researchers agree that WT is commonly found in young children before…
CLIC researchers Drs. Anssi Auvinen and Wafa Alimam, Tampere University-Finland, recently published a systematic review of studies on radioactive particles found in drinking water and cancer risk. Occasionally, naturally occurring…
The 2025 CLIC Scientific Meeting and Conference was held on March 17-19, 2025 at the Chang Yung-Fa International Convention Center in Taipei, Taiwan. CLIC members from 14 countries traveled to…
You may have heard of genomewide association studies (GWAS), which discover genetic variants associated with disease. Phenome-wide association studies (PheWAS) flip the analysis and discover diseases or traits (i.e. phenotypes)…
