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Objective This study aims to evaluate the correlation between electrolytes and serial miRNAs from our previous study. We want to prove that there is the molecular basis that underlying electrolytes disturbances as the predictive indicator to the outcome in NSCLC patients. Results There were positive correlation between potassium level with miR-34 (p = 0.008, r = 0.366), miR-148 (p = 0.004, r = 0.394) and miR-155 (p = 0.031, r = 0.300).

AIM: This study aims to describe the clinical data and disease severity of thoracic malignancy patients with coronavirus disease 2019 (COVID-19) and its relation to the mitigation process at the Dharmais National Cancer Center, Indonesia. METHODS: A total of 5256 cancer patients registered from May 2020 to March 2021. There were 681 cancer patients diagnosed with COVID-19. Forty-five thoracic malignancy patients were enrolled. Data from medical records were obtained at the Dharmais Cancer Hospital, then analyzed using SPSS version 25. Comparative result was considered significant, as p < 0.05. RESULTS: There were 12.9% of total patients registered infected by COVID-19, which 6% with thoracic malignancy dominated by non-small cell lung carcinoma (57.8%). Patients who have asymptomatic (31.1%), mild (13.3%), and moderate COVID-19 disease (8.9%) were alive. Patient with severe disease (46.7%) tends to deteriorate. Neutrophilia (mean 78.0%), lymphopenia (mean 13.0%), high neutrophil-to-lymphocyte ratio (mean 13.1), hyperuricemia (mean 31.6 mg/dL), high fibrinogen (mean 521.7 mg/dL), and high d-dimer (mean 3821.6 ng/mL) were significantly associated with disease severity (p < 0.05). CONCLUSION: Only small number of cancer patients affected by COVID-19 and mostly does not progress to severe disease, showing that the strict mitigation strategy was successful. Severe disease patients have a poor prognosis, with neutrophilia, lymphopenia, high neutrophil-to-lymphocyte ratio, hyperuricemia, high fibrinogen, and high d-dimer may be valuable for predicting poor prognosis.

Objective Cluster genes, specifically the class 3 semaphorins ( SEMA3) including SEMA3C, have been associated with the development of Hirschsprung disease (HSCR) in Caucasian populations. We aimed to screen for rare and common variants in SEMA3C in Indonesian patients with HSCR. Methods In this prospective clinical study, we analyzed SEMA3C gene variants in 55 patients with HSCR through DNA sequencing and bioinformatics analyses. Results Two variants in SEMA3C were found: p.Val337Met (rs1527482) and p.Val579 = (rs2272351). The rare variant rs1527482 (A) was significantly overrepresented in our HSCR patients (9.1%) compared with South Asian controls in the 1000 Genomes (4.7%) and Exome Aggregation Consortium (ExAC; 3.5%) databases. Our analysis using bioinformatics tools predicted this variant to be evolutionarily conserved and damaging to SEMA3C protein function. Although the frequency of the other variant, rs2272351 (G), also differed significantly in Indonesian patients with HSCR (27.3%) from that in South Asian controls in 1000 Genomes (6.2%) and ExAC (4.6%), it is a synonymous variant and not likely to affect protein function. Conclusions This is the first comprehensive report of SEMA3C screening in patients of Asian ancestry with HSCR and identifies rs1527482 as a possible disease risk allele in this population.