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All Journal Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML)
Besse Rosmiati
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Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Neuroscience

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MEAN PLATELET VOLUME DI STROK Besse Rosmiati; Sulina Y Wibawa; Darmawaty ER
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 19, No 1 (2012)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v19i1.392

Abstract

Ischemic stroke is the cause of most cases which occur due to obstruction, this pathogenesis can be caused by the formation of thrombus in the cerebrum blood vessels. Platelet aggregation plays a role in the pathogenesis of thromboembolic cerebrovascular disease. Platelets size, measured as Mean Platelet Volume (MPV) is a marker of platelet function and is associated with the indicator of platelet activity. Several studies have found that there was an increased of MPV in acute ischemic stroke while the correlation with the severity and outcome of stroke was still controversial. The aim of study is to determine the MPV and their association with outcomes in acute ischemic stroke patients. A cohort study during May up to July 2010 was carried out, the researchers measured MPV and analyze their correlation with its outcome using modified Rankin scale score 10 days after the onset in 33 acute ischemic stroke patients. The mean of MPV for the first three days of the onset was 8.9 fl, on the 5th day was increased up to 9.4 but at the 10th day of onset the MPV remains the same value as the 5th day. The MPV of first three days and 5th day have a positive correlation, but insignificant with their outcome, with p values 0.158 and 0.06, respectively. From this study can be concluded that the increased of MPV on the fifth day onset did not have any significant correlation with the outcome of acute ischemic stroke illness.
MATRIKs METALOPROTEINASE-2 DI METASTASIS KARSINOMA PAYUDARA (Matrix Metalloproteinase-2 In Breast Cancer Metastastis) Besse Rosmiati; Uleng Bahrun; Ruland DN Pakasi
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 21, No 1 (2014)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v21i1.1251

Abstract

Matrix Metalloproteinase-2 is a family of extra cellular matrix degrading proteinases. Study results on the role of MMP-2 in breastcancer progression and metastasis are still controversial. The aim of this study was to know the MMP-2 level by analyzing in metastaticand non metastatic breast cancer patients by using a cross sectional design, it was carried out in the Wahidin Sudirohusodo, Ibnu Sina,Labuang Baji Hospitals and at the Research Unit of UNHAS Makassar from April 2012 until June 2012. The 56 breast cancer patientswere divided into two groups: metastatic and non metastatic based on their thorax photo, ultrasonography and/or bone scan results. Theywere also divided into early and advanced stage, based on their TNM staging. The matrix metalloproteinase-2 level was determined byELISA method. The result of this study showed that the mean levels of MMP-2 in metastatic and non metastatic breast cancer were 20.18ng/mL and 17.14 ng/mL, respectively. The independent sample T test showed there was a significant difference (p=0.018) in MMP-2levels between metastatic and non metastatic breast cancer. The mean level of MMP-2 in early and advanced stages was 17.10 ng/mLand 18.31 ng/mL, respectively, the independent sample T test showed no significant difference of MMP-2 level between both stages. Oneway ANOVA test showed no significant difference of MMP-2 level based on tumour size and regional lymph node infiltration. The MMP-2contributed to the metastasis in breast cancer patients. The matrix metalloproteinase-2 level in metastatic was higher than in the nonmetastatic breast cancer, so this condition could be used as a biomarker to predict the metastasis of breast cancer.
Co-Authors Darmawaty ER Ruland DN Pakasi Sulina Y Wibawa Uleng Bahrun