Objectives: Acute lymphoblastic leukemia (ALL) is a clonal disease that accounts for 20% of acute leukemias in adults. A high percentage of adult patients (ranging from 70 to 80%) reach complete remission; however, the 5-year survival rate is only 20–40%. One of the main obstacles to treatment success is the drug resistance of leukemic cells. Therefore, our research group analyzed the ABCB1 and ABCG2 gene expression levels in 61 patients diagnosed with ALL and assessed whether the levels affected the clinical parameters and 40-month survival rate. Methods: The ABCB1 and ABCG2 gene expression levels were analyzed using real-time polymerase chain reaction in 61 patients diagnosed with ALL and 99 healthy donors as controls. The association between ABCB1 and ABCG2 gene expression levels and clinical variables was determined using the Chi-square test and Fisher’s exact test. Overall survival (OS) was determined using the Kaplan–Meier method. Results: The results showed high ABCB1 and ABCG2 gene levels, which were 4.5 and 2.3 times the levels of healthy donors, respectively. A total of 52% of the study patients expressed high ABCB1 levels and were significantly associated with the high-risk patient group and a decreased 40-month survival rate of 78%. Only 49% of the patients expressed high ABCG2 gene levels. No association was found between the clinical parameters and the ABCG2 gene expression levels. Conclusions: Early detection of ABCB1 gene expression levels could be important for the diagnosis and monitoring of ALL patients.

This study evaluates the prognostic value of MAGE-A3 expression in 28 diffuse large B-cell lymphoma (DLBCL) patients. A significant association was observed between MAGE-A3 expressions, assessed by quantitative real-time RT-polymerase chain reaction (PCR), with advanced stages of disease (P < 0.05). Elevated serum lactate dehydrogenase (LDH) levels and International Prognostic Index (IPI) score were significantly higher in MAGE-A3-positive patients (P = 0.025 and P = 0.004, respectively). Expression of MAGE-A3 was associated with poor response to treatment and a significantly shorter overall survival (P < 0.001). Our data address new information in the association of MAGE-A3 expression and poor prognosis in DLBCL patients.

Purpose: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignant lymphoid neoplasm and is the most common subtype of non-Hodgkin lymphoma in adults. More than half of patients with DLBCL can achieve remission with standard R-CHOP regimes; however, approximately 30– 40% of patients are still failing this standard therapy, which remains as an important cause of progression and mortality of this disease. It is necessary to have diagnostic and monitoring tools that allow us to improve the accuracy of prognosis in these patients. Circulating tumor cells (CTCs) identification through molecular biomarkers is one of the novel strategies that have been used in other types of cancer, and we aim to use this tool to analyze the potential role in DLBCL. Patients and Methods: We analyzed 138 blood samples of patients with DLBCL, of which CTCs were isolated by density gradient for subsequent detection and quantitation of molecular biomarkers using RT-qPCR with TaqMan probes. Survival analysis was performed using Kaplan–Meier curves. Results: We found overexpression of ABCB1, αSMA, BCL2, BCL6 and VEGFR1 genes, as well as the presence of CK19, EpCAM, KI67, MAGE-A4, SNAIL and TWIST1 genes. CK19 and EpCAM expression were associated with a minor OS (85.7% vs 98.1%, p = 0.002). The overexpression of BCL2, BCL6, VEGFR1 and TWIST1 was related to a minor EFS (p = 0.001). Conclusion: This study showed that in liquid biopsies analyzed, the presence of CTCs can be confirmed through molecular biomarkers, and it has an impact on OS and EFs, making this detection useful in the follow-up and prognosis of patients with DLBCL.

Aims: To evaluate the frequency of diabetes and admission hyperglycaemia in Mexican COVID‐19 patients, to describe the clinical and biochemical characteristics of patients with admission hyperglycaemia and to determinate the impact of diabetes and admission hyperglycaemia on COVID‐19 severity and mortality.Methods: A multicentric study was performed in 480 hospitalized patients with COVID‐19. Clinical and biochemical characteristics were evaluated in patients with admission hyperglycaemia and compared with non‐hyperglycaemic patients. The effect of diabetes and admission hyperglycaemia on severity and risk of death were evaluated.Results: Age was 50.7 ± 13.6 years; 68.3% were male. Some 48.5% (n = 233) had admission hyperglycaemia; 29% (n = 139) of these patients had pre‐existing diabetes. Patients with admission hyperglycaemia had more requirement of invasive mechanical ventilation (IMV), higher levels of urea, D‐dimer and neutrophil‐lymphocyte ratio (NLR), as well as lower lymphocyte count. An association between admission hyperglycaemia with IMV and D‐dimer with glucose was found. Age ≥50 years (OR 2.09; 95%CI 1.37–3.17), pre‐existing diabetes (OR 2.38; 95%CI 1.59–5.04) and admission hyperglycaemia (OR 8.24; 95%CI 4.74–14.32) were risk factors for mortality.Conclusions: Admission hyperglycaemia is presented in 48.5% of COVID‐19 patients. Diabetes and admission hyperglycaemia are associated with the severity of disease and mortality. This study shows the devastating conjunction of hyperglycaemia and COVID‐19.Clinical trial registration: Clinical characteristics of patients with COVID‐19, DI/20/204/04/41 (Hospital General de Mexico) and NR‐13‐2020 (Hospital Regional de Alta Especialidad Ixtapaluca).

Patients with acute lymphoblastic leukemia (ALL) undergoing induction decrease their physical capacity, lose muscle mass, and decrease their quality of life (QOL). The safety, feasibility, and benefits of exercise during chemotherapy have been proven, but the effects of cross-training activities have yet to be analyzed. To measure the effects of cross-training on body composition, physical performance, and QOL, a blind randomized clinical trial was carried out. A total of 33 patients were included and randomized into a cross-training exercise group (CEG), a resistance exercise group (REG), and a control group (CG). During induction, patients received an exercise routine three to five days a week for 30 to 50 min each. Body composition, QOL, and physical performance were measured at baseline, up to discharge, and at a follow-up of two months. Body composition improved in the REG and CEG. In the CG, muscle mass decreased and fat mass increased (p = 0.020 and 0.020, respectively). The REG and CEG had significant positive improvements in physical performance compared to the CG. QOL showed no differences in any group (p = 0.340). Cross-training and resistance exercise are essential to improve body composition and physical performance during induction. Considering the prognostic value of physical performance, we propose integrated training exercises as adjuvant therapy in adult patients with ALL.