Objective: Hypocholesterolemia is a metabolism disorder that may be seen in chronic diseases and malignancies. Various dyslipidemia profiles have been shown in adult and pediatric hematological malignancies. We aimed to evaluate the lipid profile properties in patients diagnosed with a hematological malignancy compared to a healthy control group. Method: Out of 1213 patients diagnosed with hematologic malignancy, the data of 98 patients whose pretreatment lipid profiles had already been studied, were reviewed. Forty healthy individuals were selected as the control group. The levels of total cholesterol, triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) were compared. Results: Triglyceride values were significantly higher (p=0.02), and the total cholesterol, LDL and HDL levels were lower in the study group compared to the control group. Triglyceride values were higher (p=0.013), and HDL levels were lower (p=0.022) in parallel with increases in uric acid levels. There was a significant correlation between the International Prognostic Index (IPI) score and TG (p=0.003) in those diagnosed with non-Hodgkin lymphoma (NHL). Whereas no significant correlation was found between TG, total cholesterol, and LDL values in the limited (early) and advanced stage NHL, while a significant negative correlation was found with HDL (p=0.027). Conclusion: Hypertriglyceridemia, as well as low LDL and HDL values may be seen in hematological malignancies. It should be kept in mind that there may be chronic diseases and malignancies in the etiology of incidental hypocholesterolemia and hypertriglyceridemia. Further studies are needed on this subject to determine the effects of dyslipidemia on the pathogenesis and prognosis of the disease in hematological malignancies.

OBJECTIVE: Coronavirus disease 2019 (COVID-19), leading to mild infection (MI), acute respiratory distress syndrome or death in different persons. Although the basis of these variabilities has not been fully elucidated, some possible findings have been encountered. In the present study, we aimed to reveal genes with different expression profiles by next-generation sequencing of RNA isolated from blood taken from infected patients to reveal molecular causes of different response. METHODS: Two healthy, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative control individuals (NCI), two SARS-CoV-2-positive patients who have MI, and two patients who have critical infection (CI) were included in the study. Total RNA was extracted from blood samples and sequenced. Raw RNA-Seq data were analyzed on Galaxy platform for the identification of differentially expressed genes and their pathway involvements. RESULTS: We found that 199 and 521 genes were downregulated in whole blood of COVID-19-positive CI patients compared to NCI and MI patients, respectively. We identified 21 gene ontology pathways commonly downregulated in CI patients compared to both NCI and MI, mostly associated with innate and adaptive immune responses. Three hundred and fifty-four and 600 genes were found to be upregulated compared to NCI and MI, respectively. Upregulated six pathways included genes that function in inflammatory response and inflammatory cytokine release. CONCLUSION: The transcriptional profile of CI patients deviates more significantly from that of MI in terms of the number of differentially expressed genes, implying that genotypic differences may account for the severity of SARS-CoV-2 infection and inflammatory responses through differential regulation of gene expression. Therefore, further studies that involve whole genome analysis coupled with differential expression analysis are required in order to determine the dynamics of genotype - gene expression profile associations.

Objectives: Patients with hematologic malignancies have a high risk of coronavirus disease 2019 (COVID-19) mortality. This study aimed to investigate the impact of COVID-19 on mortality rates in patients with various hematologic malignancies and to determine risk factors associated with all-cause mortality. Methods: A multi-center, observational retrospective analysis of patients with hematologic malignancies infected with COVID-19 between July 2020 and December 2021 was performed. Demographic data, clinical characteristics, and laboratory parameters were recorded. Patients were grouped as non-survivors and survivors. All-cause mortality was the primary outcome of the study. Results: There were 569 patients with a median age of 59 years. Non-Hodgkin lymphoma (22.0%) and multiple myelomas (18.1%) were the two most frequent hematologic malignancies. The all-cause mortality rate was 29.3%. The highest mortality rates were seen in patients with acute myeloid leukemia (44.3%), acute lymphoid leukemia (40.5%), and non-Hodgkin lymphoma (36.8%). The non-survivors were significantly older (p<0.001) and had more comorbidities (p<0.05). There were significantly more patients with low lymphocyte percentage (p<0.001), thrombocytopenia (p<0.001), and high CRP (p<0.001) in the non-survived patients. Cardiac comorbidities, (p=0.016), cytotoxic chemotherapy (p=0.024), low lymphocyte percentage (p=0.025), thrombocytopenia (p<0.0001), and high CRP values (p=0.017) were the independent risk factors for the prediction of mortality. Conclusions: In patients with hematologic malignancies, coexistent COVID-19 leads to a higher mortality rate in elderly patients with more comorbidities. Acute myeloid and lymphoid leukemia and non-Hodgkin lymphoma have the highest mortality rates. Cardiac diseases, cytotoxic chemotherapy, lymphopenia, thrombocytopenia, and high CRP are the independent risk factors for mortality in hematologic malignancy patients with COVID-19. Keywords: Covid; Hematologic Malignancy; Cytotoxic chemotherapy.

The international prognostic index (IPI) and the revised IPI (R-IPI) are used to determine the prognosis in diffuse large B-cell lymphoma (DLBCL). However, these scoring systems are insufficient to identify very high-risk patients. Recently, the prognostic nutritional index (PNI) -calculated with lymphocyte count and albumin- has been used to determine the prognosis in DLBCL. This study aimed to evaluate the effect of PNI score on prognosis and survival in patients with high-risk DLBCL. Patients diagnosed with DLBCL and treated with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone were included. Pre-treatment IPI, R-IPI, and PNI scores and progression-free survival (PFS) and overall survival (OS) times were calculated. The cutoff value for PNI according to OS was determined by using the X-Tile program. One hundred and ten patients were included, the median age was 63 years and the median follow-up period was 25 months. According to R-IPI, the median OS could not be reached for the very good risk group, and the median OS values were 83 and 17 months in the good and poor-risk groups, respectively (p=0.001). The cohort was divided into three groups according to the cut-off value for the PNI: patients with PNI <33 were classified as high-risk, 33-42 intermediate-risk, and ≥42 as low-risk. According to PNI, the median durations of PFS and OS were 2 months and 3 months in the high-risk group, 9 months and 19 months in the intermediate-risk group respectively, and in the low-risk group the median duration for PFS and OS could not be reached (p=0.001). The R-IPI is widely used to estimate the prognosis in DLBCL. But in our cohort, in the poor-risk patient group, the OS was 17 months according to R-IPI, while this period was 3 months according to PNI. This finding demonstrated that PNI might predict early mortality in DLBCL.

Chronic lymphocytic leukemia (CLL) is a progressive disease with an indolent course, and tumor lysis syndrome (TLS) is rarely seen in CLL. Ibrutinib is a novel bruton kinase (BTK) inhibitor increasingly used in CLL treatment. Ibrutinib has significant side effects such as atrial fibrillation, bleeding, diarrhea, and infections. However, TLS is reported rarely with ibrutinib treatment. This report focuses on a 69-year-old female patient diagnosed with relapsed CLL who developed grade 4 TLS after ibrutinib monotherapy. The patient developed TLS on the third day of ibrutinib treatment necessitating discontinuation of the treatment and initiation of hemodialysis and supportive care. Ibrutinib treatment was re-initiated at a daily dose of 140 mg therapy after an interval of seven days, and then any additional side effect was not seen. Tumor lysis syndrome secondary to ibrutinib has been reported in an increasing number of cases. There is currently no information on managing adverse effects of TLS attributed to ibrutinib. Consequently, ibrutinib treatment of this patient was not terminated, and restarted after a short interval. It must not be forgotten that TLS secondary to ibrutinib treatment may be rarely seen, and can be life-threatening. Treatment with ibrutinib should be initiated in consideration of this side effect, and the development of complication of TLS may not necessitate discontinuation of ibrutinib treatment.