Dian Caturini Sulistyoningrum
Department Of Health Nutrition, Faculty Of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia

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Plasma DNA as a potential biomarker for breast cancer detection Dewajani Purnomosari; Ulfah Dian Indrayani; . Irianiwati; Dian Caturini Sulistyoningrum
Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Vol 48, No 4 (2016)
Publisher : Journal of the Medical Sciences (Berkala Ilmu Kedokteran)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.141 KB) | DOI: 10.19106//JMedSci004804201603

Abstract

Breast cancer is a major malignancy among Indonesian women. It is often diagnosed inthe later stages of cancer, which leads to poor prognosis and survival of the patients.This study investigated plasma DNA concentration as a potential biomarker for breastcancer. The benefit of using this detection is the cost-effectiveness and the samples canbe collected from patients using non-invasive methods. Plasma samples were obtainedfrom healthy controls (n=18) and cancer patients (n=22). Each sample was split intotwo equal portions for DNA isolation using two different methods for the NaI methodand a commercially available kit (Qiagen/ QA) method. The DNA concentration wasdetermined by using a GeneQuant spectrophotometer (Pharmacia). The t-test was usedfor statistical analysis, which was performed using the SPSS 17.0 software. Compared tothe commercial method, extraction using NaI yielded higher DNA concentration, both fromsamples of healthy controls and cancer patients (p=0,008 and p=0.000, respectively).Furthermore, regardless of the isolation method used, the plasma DNA concentrationwas higher in healthy controls than in cancer cases (p=0,032 and p=0.005, for NaIand QA methods, respectively). In conclusion, isolation methods significantly affect DNAconcentrations. The plasma DNA concentration of healthy controls is significantly higherthan those of the cancer cases, suggesting that plasma DNA concentration might be apotential biomarker for breast cancer detection with less invasive sampling method thantissue biopsies.
Studi komparasi beberapa metode skrining penilaian status gizi pada pasien dewasa rawat inap rumah sakit Rizki Andini; Susetyowati Susetyowati; Dian Caturini Sulistyoningrum
Jurnal Gizi Klinik Indonesia Vol 14, No 2 (2017): Oktober
Publisher : Minat S2 Gizi dan Kesehatan, Prodi S2 IKM, FK-KMK UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijcn.22066

Abstract

Background: It is necessary to diagnose level of malnutrition in hospitalized patient to give optimal nutrition support. Many different nutrition screening assessment have been developed. In Indonesia, Simple Nutrition Screening Tool (SNST) that had been used in same hospital and the result was good enough in validity-realibility.Objective: To assessed that SNST were simple and practical nutrition screening tool for detecting level of malnutrition in different type of hospitalized patient.Method: Observational cross-sectional design with total of sampling two hundred and eighty seven adult patients from 2nd and 3rd class of surgical, internal, or neurology ward of RSUD Sleman. Independent variables are SNST, Nutritional Risk Screening (NRS) 2002, Malnutrition Screening Tool (MST), and Malnutrition Universal Screening Tool (MUST). Dependent variables are Subjective Global Assessment (SGA), body mass index (BMI), mid upper arm circumference (MUAC), and hemoglobin (Hb). Receive Operating Curve (ROC) were used for measuring validity of each screening tools. The proportion difference between at-risk group and not at-risk group was assessed by Chi-square test. The mean difference of BMI, MUAC, and Hb between both of group was assessed by independent sample t-test.Results: SNST has highest validity compared to NRS-2002, MST, and MUST with Sensitivity 99,0%, Specificity 84,5 and Area Under Curve (AUC) 0,917. Based on SNST, the proportion difference of at-risk group and not at-risk group between surgical patients and internal-neurology patients was statistically significant (p<0,05); the proportion difference of at-risk group and not at-risk group between young adult, adult, and elderly patients was statistically significant (p<0,05); the mean difference of BMI, MUAC, and Hb between at-risk group and not at-risk group was also statistically significant (p<0,05).Conclusion: All of the nutrition screening tools can be used as predictor of malnutrition in hospitalized patients but, the SNST has the best validity as a nutrition screening to predict malnutrition.