ABSTRACT
Introduction: Hypoxia fuels cancer growth by supporting blood vessel formation, suppressing immune response, and helping cancer cells adapt to harsh surroundings. This happens when cancer cells react to low oxygen levels by activating hypoxia inducible factor-1 alpha (HIF-1α). High levels of HIF-1α can indicate an aggressive form of cancer and resistance to treatment in diffuse large B-cell lymphoma (DLBCL) patients. This study aimed to identify which factors are linked to HIF-1α distribution using immunohistochemistry in DLBCL patients. Method: This study conducted at a hospital in Indonesia between 2020 and 2022 aimed to investigate factors associated with HIF-1α expression in DLBCL patients. Newly diagnosed DLBCL patients were categorized into two groups based on HIF-1α distribution (<40% and ≥40%). Various factors were analyzed between the two groups using statistical tests such as χ2, Mann-Whitney U, and Spearman correlation tests. Results: In this study, 40 participants diagnosed with DLBCL were divided into two groups based on their HIF-1α distribution. The group with HIF-1α distribution greater than or equal to 40% had a higher incidence of extranodal involvement, including primary extranodal disease, compared to the group with less than 40% distribution. This difference was statistically significant. The authors also found that haemoglobin level statistically significant (P=0.041) in this research. The Spearman test analysis showed negative correlation between haemoglobin (P = <0.05, r = -0.44) and positive correlation of soluble interleukin-2 receptor (sIL-2R) (P = <0.05, r = 0.5) with vascular endothelial growth factor (VEGF), as well as between tumour volume (P = <0.05, r = 0.37) with sIL-2R. Additionally, there was a positive correlation between VEGF and sIL-2R (P = <0.05, r= 0.5). Conclusion: Patients with higher HIF-1α expression (≥40%) had more extranodal involvement and primary extranodal disease in this study of 40 DLBCL patients. Haemoglobin level, sIL-2R, and VEGF were also identified as potential biomarkers.
ABSTRACT
Introduction: The chest X-ray examination is an imaging modality that is widely used in screening for COVID-19 pneumonia. The problems with treating COVID-19 pneumonia patients are the high incidence and severity of the disease and the limitations of treatment room facilities. The chest X-ray Radiologic Severity Index is expected to assist clinicians in obtaining the relationship between the extent of lesions on X-ray and the duration of treatment and hospitalization for COVID-19 pneumonia patients. Results: This study used an observational method using a retrospective approach. The research subjects were COVID-19 pneumonia patients from March 2020 to April 2021 who were hospitalized at Doctor Kariadi General Hospital Semarang. A total of 105 subjects confirmed positive RT-PCR and received serial X-ray examination services during treatment. The calculation of the RSI value was carried out on all X-ray chest X-rays and then statistically analyzed using the paired T test and Mann-Whitney methods. There was no significant relationship between the value of RSI1 and the duration of hospitalization with p = 0.566, as well as the value of RSI2 with the duration of hospitalization with p = 0.715. There is a significant relationship between the values of RSI1 and RSI2 with the use of the intensive care unit with p < 0.000, respectively. There was a significant relationship between the values of RSI1 and RSI2 with the use of ventilators in treatment, with p < 0.000. Furthermore RSI1 and RSI2 have a good result as predictor of intensive care and ventilator usage. Conclusion: The chest X-ray RSI has no significant relationship with the duration of hospitalization. The value of the chest X-ray RSI has a significant relationship with the use of intensive care rooms and the use of ventilators in treatment. The increase in the RSI value can describe the severity of the disease so that it plays a role in planning the treatment room.
