Unraveling Copy Number Alterations in Pediatric B-Cell Acute Lymphoblastic Leukemia: Correlation with Induction Phase Remission Using MLPA.

OBJECTIVE: Acute Lymphoblastic Leukemia (ALL) is the most common malignancy occurring in children. Copy number alterations (CNA) like PAX5, CDKN2A/2B, PAR1 Region, ETV6, IKZF1, BTG1, and RB1 gene deletion are important genetic events that define and prognosticate B-cell ALL. Thus, this study aimed to evaluate associations of CNA with induction phase remission status in childhood B-cell ALL. METHODS: This study was observational with a cross-sectional design at the Dharmais Cancer Hospital, Harapan Kita Mother and Children Hospital, and Tangerang Regional Public Hospital. We evaluated 74 pediatric B-cell ALL cases with 1-18-year-olds. Genomic DNA was analyzed by Multiplex Ligation Dependent Probe Amplification Assay (MLPA). This study used the P335 ALL-IKZF1 panel kit, which contains several ALL-related genes. The patient's clinical and laboratory characteristics were collected from medical records from January to December 2019. RESULT: We observed gene copy number alteration in children with B-Cell ALL. PAX5 was the most commonly observed gene deletion, followed by CDKN21/2B, ETV6, IKZF1, BTG1, RB1, and PAR1 Region. Based on gene mutations, only the PAX5 had a significant association with the remission status of pediatric B-cell ALL (p-value <0.05; OR = 3.91). It showed that patients with PAX5 gene mutations have 3.9 times the risk of no remission and/or relapse compared to those without PAX5 gene mutations. CONCLUSION: Patients with mutations in the PAX5 gene have a higher chance of not achieving remission and/or experiencing relapse than those without such mutations. The MLPA method can be utilized for examining copy number alterations, which is valuable for achieving more precise stratification in diagnosis.. Further research is needed to expand upon this finding.

Effect of Primary Systemic Therapy on PD-1, PD-L1, and PD-L2 mRNA Expression in Advanced Breast Cancer.

OBJECTIVE: The association between PD-1, PD-L1, and PD-L2 expression and prognosis has been extensively studied in various cancers but remained controversial in breast cancer. Besides, little is known about the prognostic value of PD-1, PD-L1, and PD-L2 upregulation or downregulation following systemic therapy (chemotherapy and hormonal therapy) in breast cancer. Therefore, we aim to investigate the change of PD-1, PD-L1, and PD-L2 expression in mRNA level after primary systemic therapy in breast cancer patients and its clinical implications. METHODS: Expression of PD-1, PD-L1, and PD-L2 mRNA were measured before-after chemotherapy and hormonal therapy with real-time PCR in 80 advanced breast cancer patients. The correlation between alteration of PD-1, PD-L1, and PD-L2 expression and clinicopathological characteristics as well as overall survival was also statistically analyzed. RESULTS: Chemotherapy and hormonal therapy altered PD-1, PD-L1, and PD-L2 expression in breast cancer with most patients have an increase expression. As much as 57.1%, 62.9% and 60% patients have an increase PD-1, PD-L1, and PD-L2 expression after chemotherapy, while 60%, 60%, and 64% patients have an increase PD-1, PD-L1, and PD-L2 expression after hormonal therapy. Alteration of PD-1, PD-L1, and PD-L2 expression was not correlated with all clinicopathological characteristics. Increase in PD-1, PD-L1, and PD-L2 expression was significantly associated with better OS (p=0.031, p=0.019, and p=0.019 for PD-1, PD-L1, and PD-L2, respectively), which remained significant in multivariate analysis including age, stage, primary systemic therapy, histology grade, subtype and primary tumor histology (HR PD-1 0.5 (95% CI 0.28-0.88) p=0.031; HR PD-L1 0.43 (95% CI 0.24-0.8) p=0.019; HR PD-L2 (95% CI 0.24-0.87) p=0.019).  Conclusion: Expression of PD-1, PD-L1, and PD-L2 in breast cancer patients is mostly enhanced after chemotherapy and hormonal therapy, and the enhancement is associated with good OS. This result revealed the potential of measuring PD-1, PD-L1, and PD-L2 mRNA expression in predicting clinical outcome.