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1.
Cureus ; 14(9): e29386, 2022 Sep.
Article in English | MEDLINE | ID: mdl-36304376

ABSTRACT

BACKGROUND: Lung cancer is the most common cause of cancer-related death among men in the world. Given the very high mortality caused by lung cancer, a biological marker to determine a more sensitive therapy among non-small cell lung cancer (NSCLC) patients is needed. This study aims to demonstrate that the clinical laboratory result can be a prognosis marker in NSCLC patients in Indonesia. METHODS: This study was a retrospective cohort study. The sample was obtained from the patient's serum and the examined routine blood test (hemoglobin, leukocyte, platelets), hemostasis (fibrinogen and D-dimers), blood chemistry test (aspartate transaminase [AST], alanine transaminase [ALT], albumin, urea, creatinine, and blood glucose), electrolyte (sodium, potassium, chloride, and calcium) and tumor markers (carcinoembryonic antigen [CEA] and Cyfra 21-1). Data were analyzed and interpreted using SPSS (IBM Corp., Armonk, NY, USA). Analysis of the data was done to find the survival rate of sociodemographic variables, clinicopathologic variables, and clinic laboratory variables. RESULTS: The study findings showed statistically significant results that were poor prognosis for these following conditions: performance status (PS) 3-4 median survival (MS):26 days, p=<0.001; TNM stage IVb MS:58 days, p=0.001; high leukocyte MS:69 days, p=0.018; low platelet MS:50 days, p=0.013; high D-dimer MS:69 days, p=0.020; low albumin MS:56 days, p=0.001; high sodium MS:15 days, low sodium MS:50 days, p=<0.001; high chloride MS:15 days, low chloride MS:27 days, p=<0.001. CONCLUSION: In the advanced stage NSCLC, these findings indicate poorer prognoses; PS 3-4, IVb clinical stage, leukocytosis, thrombocytopenia, hyper-coagulopathy, hypoalbuminemia, hyper-hyponatremia, and hyper-hypochloremia. Further studies regarding the correlation between clinical laboratory and survival rate are needed.

2.
Zhongguo Fei Ai Za Zhi ; 23(5): 321-332, 2020 05 20.
Article in English | MEDLINE | ID: mdl-32283582

ABSTRACT

BACKGROUND: Lung cancer is the most common cause of death in men in the world and in Indonesia where non-small cell carcinoma lung cancer (NSCLC) constitutes 85% of all lung cancer cases. The high mortality rate is due to a poor prognosis and is often diagnosed as having advanced stages. If it is known at the initial stage, the prognosis of lung cancer will be better. Prognosis can be predicted with a marker of prognostic biology, one of which is micro RNA (miRNA). This study aims to prove that serum miRNA can be predictive biological marker and prognosis in NSCLC patients in Indonesia. METHODS: This study was cohort retrospective among 52 subjects in "Dharmais" Hospital National Cancer Center. Sample was obtained from patients' serum. MiR-34, miR-148, miR-155 and miR-222 serum are measured through Real-Time PCR (qPCR). Data were analyzed and interpreted with descriptive analysis, bivariate analysis (Mann Whitney-U for two type of variables or Kruskal-Wallis for more than two type of variables. Kaplan-Meier analysis was used to know association between characteristic which are sociodemographic, performance status, clinico-pathology, and survival rate in miRNA expression. RESULTS: From this study, miRNA expression: miR-34 (46.15%), miR-148 (23.08%), miR-155 (40.38%) and miR-222 (32.69%). Performance status score was statistically significant correlation with miR-148 (P=0.049) and miR-222 (P=0.018). High miR-34 is associated with multiple M1b metastatic type (P=0.020), cancer cell type (adenocarcinoma, P=0.009) and adenocarcinoma epidermal growth factor receptor (EGFR) mutation (negative, P=0.031). There was a significant correlation between the high miR-222 as a poor prognosis in advanced stage NSCLC with M1b metastasis (Median Survival/MS: 27 d, P=0.049) and positive EGFR mutations (MS: 74 d, P=0.049) and correlation of miR-155 with adenocarcinoma (MS: 69 d, P=0.034) and positive EGFR gene mutations (MS: 58 d, P=0.023). CONCLUSIONS: High miR-34 expression in advanced stage NSCLC is the predictive factor for multiple metastatic, adenocarcinoma cell type and adenocarcinoma negative EGFR mutation. High expression of miR-155 and miR-222 are poor prognoses, especially high miR-222 found in metastasis M1b and positive EGFR mutation and miR-155 found in adenocarcinoma and positive EGFR gene mutations. Further studies regarding correlation between miRNA and survival rate are needed.


Subject(s)
Carcinoma, Non-Small-Cell Lung/diagnosis , Lung Neoplasms/diagnosis , MicroRNAs/blood , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor/blood , Biomarkers, Tumor/genetics , Carcinoma, Non-Small-Cell Lung/blood , Carcinoma, Non-Small-Cell Lung/mortality , Female , Humans , Indonesia , Lung Neoplasms/blood , Lung Neoplasms/genetics , Lung Neoplasms/mortality , Male , MicroRNAs/genetics , Middle Aged , Retrospective Studies , Survival Rate
3.
Saudi Med J ; 40(2): 140-146, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30723858

ABSTRACT

OBJECTIVES: To improve the quality of invasive pulmonary aspergillosis (IPA) management for intensive care unit (ICU) patients using a practical diagnostic scoring model. METHODS: This nested case-control study aimed to determine the incidence of IPA in 405 ICU patients, between July 2012 and June 2014, at 6 hospitals in Jakarta, Indonesia. Phenotypic identifications and galactomannan (GM) tests of sera and lung excreta were performed in mycology laboratory, Parasitology Department, Faculty of Medicine, Universitas Indonesia in Jakarta, Indonesia. RESULTS: The incidence of IPA in the ICUs was 7.7% (31 of 405 patients). A scoring model used for IPA diagnosis showed 4 variables as the most potential risk factors: lung excreta GM index (score 2), solid organ malignancy (score 2), pulmonary tuberculosis (score 2), and systemic corticosteroids (score 1). Patients were included in a high-risk group if their score was greater than 2, and in a low-risk group if their score was less than 2. CONCLUSION: This study provides a novel diagnosis scoring model to predict IPA in ICU patients. Using this model, a more rapid diagnosis and treatment of IPA may be possible. The application of the diagnosis scoring should be preceded by specified pre-requisites.


Subject(s)
Intensive Care Units/statistics & numerical data , Neoplasms/complications , Pulmonary Aspergillosis/diagnosis , Pulmonary Aspergillosis/epidemiology , Tuberculosis, Pulmonary/complications , Adrenal Cortex Hormones/therapeutic use , Case-Control Studies , Galactose/analogs & derivatives , Humans , Incidence , Indonesia/epidemiology , Mannans/metabolism , Middle Aged , Predictive Value of Tests , Pulmonary Aspergillosis/complications , Risk Factors
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