Obesity and Metabolic Syndrome have been associated with cardiovascular, diabetes and cancer incidence. Obesity is a state of inflammation. There are cross-talks between adipocyte, adipokines, pro-inflammatory cytokines, insulin, leptin, and other growth factors to initiate signals for proliferation, anti-apoptosis, and angiogenesis. Those networks lead to cancer initiation, promotion, progression, and metastasis. Post menopause women with breast cancer commonly have overweight, obesity, and metabolic syndrome, which are previously reported as conditions to be associated with breast cancer prognosis. MicroRNAs (miRNAs), small non-coding RNA that regulate gene expression, are known to play important roles either in metabolic or carcinogenesis process in patients with breast cancer. Some miRNAs expressions are deregulated in persons either with obesity, breast cancer, or breast cancer with co-morbid obesity. This literature review aimed at reviewing recent publications on the role of obesity, leptin, and microRNA deregulation in adverse prognosis of breast cancer. Understanding the influence of deregulated miRNAs and their target genes in patients with breast cancer and obesity will direct more studies to explore the potential prognostic role of obesity in breast cancer from epigenetic points of view.

Taroeno-Hariadi KW, et al. J Breast Cancer. 2021 Sep;24:e41. https://doi.org/10.4048/jbc.2021.24.e41

It is important to assess nutritional status to determine the presence of malnutrition because poor nutritional status will reduce the efficacy and increase the side effects of radiotherapy. The aim of this research was to assess nutritional status by comparing several parameters, namely anthropometry, biochemistry, physical condition, and inflammatory parameters, with Patient Generated-Subjective Global Assessment (PG-SGA) as the gold standard. A cross-sectional study with 78 subjects was conducted at the General Hospital Dr. Sardjito Yogyakarta, Indonesia, in 2022. The Malnutrition Screening Tool, Simple Nutrition Screening Tool, PG-SGA, and objective parameter data were used in the nutritional assessment. The objective parameters were determined by analyzing anthropometric data [body weight, mid-upper arm circumference (MUAC), and body fat], biochemical data (albumin and a complete blood profile), physical data (hand grip strength), and food intake data using the 1×24-hour recall method. The data were analyzed using One-Way ANOVA and the Kruskal-Wallis test. Malnutrition was found in 33.3% of pre-radiotherapy head and neck cancer (HNC) patients. Patients with good nutritional status did not experience weight loss, decreased appetite, gastrointestinal symptoms, decreased functional capacity, or fat and/or muscle deficit (p<0.05). The findings showed a significant relationship between PG-SGA and nutritional status based on body weight, weight loss, MUACs, handgrip strength, visceral fat, resting metabolic rate (RMR), and hemoglobin (p<0.05). A better nutritional status was associated with higher parameter values. The method for nutritional status assessment in HNC patients undergoing radiotherapy can be performed by measuring body weight, weight loss, upper arm circumference, visceral fat, hemoglobin, and RMR in addition to PG-SGA as the gold standard.

Background: Obesity and metabolic syndrome (MetS) have been linked to the risk of developing certain cancers. This study aimed to analyze the association between obesity markers, MetS and survival outcomes of patients with breast cancer. Methods: This study retrospectively investigated patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR+/HER2-), nonmetastatic breast cancer diagnosed between January 2010 and December 2019. Data on clinical conditions, body mass index (BMI), waist-to-hip ratio (WHR), MetS, time of metastasis and death were collected. Results: A total of 223 breast cancer patient records were eligible for analysis. Obesity (BMI ≥ 25) was found in 38.1% of cases. Abdominal obesity measured as WHR ≥ 0.85 was found in 48.9%. Metabolic syndrome was detected in 56.1% of patients and was associated with older age (OR = 2.196, p = 0.005), postmenopausal status (OR = 2.585, p = 0.001), obesity (OR = 5.684, p = 0.001) and abdominal obesity (OR = 2.612, p = 0.001). Obesity was not associated with poor disease-free survival (DFS) or overall survival (OS), while abdominal obesity was modestly associated with poor DFS (HR = 1.539, p = 0.083) and OS (HR = 3.117; p = 0.019). Multivariate analysis revealed that WHR ≥ 0.85 was independently associated with unfavorable DFS (HR = 1.907, p = 0.027). Patients with MetS had a similar survival rate to those with normal metabolism. Conclusion: In Indonesian women with HR+/HER2- breast cancers, obesity and MetS were not associated with poor survival outcomes. The abdominal obesity marker (WHR) was more accurate in predicting unfavorable DFS.

Studies to confirm the efficacy and safety of convalescent plasma (CP) as an adjunctive treatment for COVID-19 are still required especially for the countries where standard treatments are unevenly distributed. A non-randomized comparative study was done from June – September 2020 in Dr. Sardjito Hospital, Yogyakarta, Indonesia. Plasma with anti-SARS-CoV-2 specific IgG titer of >1:320 were used. Primary end points were clinical and laboratory parameters outcome including BGA, chest X-ray, CT value, CRP, procalcitonin, IL-6, D-Dimer and ALC examined on day 1, 2 and 7 post-transfusion. The experimental arm of this study consisted of 15 patients who received CP: 3 (20%) with moderate COVID-19 and 12 (80%) with severe COVID-19. There were 15 historical controls in this study. Ten recipients survived and 5 deceased (survival rate was 66.7%). There were higher rate of pneumonia resolution (OR 1.54, CI95% 0.33–7.23), ARDS resolution (OR 1.20, CI95% 0.25–5.84) and shorter median length of stay (20 vs 22 days, p = 0.41) among recipients compared to controls. Lower mortality rate was observed in recipients vs controls (33.3% vs 46.7% (OR 0.75, CI95% 0.17–3.33)). Median death onset was longer in recipient vs control (7^th vs 1^st day, p = 0.13). Survival analysis showed protective effect of CP (HR 0.69, CI 95% 0.21–2.27, p = 0.545). Higher CT value improvement (p = 0.51) and negative conversion rate (OR1.20, CI95% 0.25–5.84) were observed in recipients compared to controls. Sub-analysis showed more number of comorbidities, higher procalcitonin and higher D-Dimer among CP recipients who did not survive (p = 0.02 and p = 0.02 respectively). Lower CRP and procalcitonin, and higher ALC were found in survivors compared to non-survivors (p = 0.0437; p = 0.0049; and p = 0.0002 respectively). This study showed promising results for CP marked by improvements in clinical outcome, as well as significant reduction of inflammatory markers among recipients.

Introduction: Lymphoma as a heterogeneous disease has various characteristics not only in the clinical manifestation but also in sociodemographic aspect. Epidemiological data with sociodemographic description in lymphoma is still unexplored. Objective: This study aimed to provide updated and detailed description of lymphoma with emphasis on patient characteristics, sociodemographic data and hematologic findings. Materials and Methods: This was an observational descriptive study with a cross-sectional design. The data were from the medical records in Dr. Sardjito Hospital, a national referral hospital in the Special Region of Yogyakarta Province Indonesia from 2012 to 2018. All lymphoma patients > 18 years were included. Patients’ characteristics, socio-demographic indicators, tumor characteristic and hematological finding were recorded. The difference of socio-demographic, clinical and laboratory characteristics between Non Hodgkin Lymphoma (NHL) and Hodgkin Lymphoma (HL) was analyzed with Chi-Square, Fisher-Exact, and Mann-Whitney test (P <0.05 was statistically significant). Results: There were 675 cases. Male predominated, mean age at diagnosis was 54.1 for NHL and 42.3 for HL. There was significant difference in the mean of age (p=0.000), occupation (P=0.035) and educational level (P=0.020) between NHL and HL patients. B cell NHL was found to be the most common type of lymphoma, with DLBCL being the most common histopathological type. Hematological findings were found to be within the normal range. Conclusion: There are significant difference in the mean of age, occupation and education level between NHL and HL patients. Further study to explain the scientific reasons of the difference are required.