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1.
Malays J Pathol ; 45(3): 353-362, 2023 Dec.
Article in English | MEDLINE | ID: mdl-38155377

ABSTRACT

INTRODUCTION: Hydatidiform mole is one of the gestational trophoblastic disease and comprises complete (CM) and partial moles (PM), which carries a risk of developing persistence disease, invasive mole or choriocarcinoma. MicroRNAs (miRNAs) have been discovered in various tissues, including neoplastic tissues. Its role in the pathogenesis of molar pregnancy or as biomarkers are still largely uncertain. The aim of this study is to identify the differentially expressed miRNAs in CM and PM. MATERIALS AND METHODS: Using next-generation sequencing, the miRNAs profiles of CM (n=3) and PM (n=3) moles, including placenta of non-molar abortus (n=3) as control were determined. The differentially expressed miRNAs between each group were analysed. Subsequently, bioinformatics analysis using miRDB and Targetscan was utilised to predict target genes. RESULTS: We found 10 differentially expressed miRNAs in CMs and PMs, compared to NMAs, namely miR- 518a-5p, miR-423-3p, miR-503-5p, miR-302a-3p, and miR-1323. The other 5 miRNAs were novel, not listed in the known database. The 3 differentially expressed miRNAs in CMs were predicted to commonly target ZTBT46 and FAM73B mRNAs. DISCUSSION: miR-518 was consistently observed to be downregulated in CM versus PM, and CM versus NMA. Further bioinformatic analysis to provide insight into the possible role of these miRNAs in the pathogenesis of HMs, progression of disease and as potential diagnostic biomarkers as well as therapeutic targets for HMs is needed.


Subject(s)
Choriocarcinoma , Hydatidiform Mole , MicroRNAs , Moles , Pregnancy , Female , Humans , Animals , Moles/genetics , Hydatidiform Mole/genetics , MicroRNAs/genetics , Biomarkers , Gene Expression Profiling
2.
Malays J Pathol ; 43(3): 341-351, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34958055

ABSTRACT

INTRODUCTION: Hydatidiform moles (HMs) include complete and partial moles, are the result of abnormal fertilisation. The accurate classification of HMs and its distinction from non-molar specimens is utmost important for clinical management and risk assessment. It is diagnostically challenging if the distinction is based solely on histomorphology with poor interobserver reproducibility, especially in early gestations. This study aimed to investigate the diagnostic ability of combined p57 immunohistochemistry and DNA ploidy analysis to distinguish between complete moles, partial moles and non-molar abortus. MATERIALS AND METHODS: We included all HMs cases diagnosed in our centre over a six-year period. p57 immunohistochemistry stain was performed. Only nuclear immunoreactivity in >50% of cytotrophoblasts and villous stromal cells was regarded as positive for p57. DNA ploidy status was determined by fluorescence in situ hybridisation. A total of 250 cells from five chorionic villi were counted and were scored as diploid or triploid if more than 10% of nuclei demonstrated two or three signals, respectively. RESULTS: A total of 51 cases originally diagnosed by histomorphology as complete mole (n = 18), partial mole (n = 24) and non-molar abortus (n = 9) were recruited. The cases were reclassified based on the p57 immunostaining pattern and DNA ploidy status, into 27 complete moles (p57-/diploid), 9 partial moles (p57+/triploid) and 15 non-molar abortus (p57+/diploid). The diagnostic accuracy by histomorphological features alone in each category: complete moles, partial moles and non-molar abortus was 78.4%, 70.6% and 88.2% respectively. CONCLUSION: This study highlighted the importance of the utility of combined p57 immunostain and DNA ploidy analysis in arriving at an accurate diagnosis in HMs. An algorithmic approach utilising these ancillary techniques is advocated in routine diagnostic workup for a more refined diagnostic approach to HMs.


Subject(s)
Hydatidiform Mole , Uterine Neoplasms , Cyclin-Dependent Kinase Inhibitor p57/analysis , Cyclin-Dependent Kinase Inhibitor p57/genetics , DNA , Female , Humans , Hydatidiform Mole/diagnosis , Hydatidiform Mole/genetics , Immunohistochemistry , Ploidies , Pregnancy , Reproducibility of Results , Uterine Neoplasms/diagnosis , Uterine Neoplasms/genetics
3.
Malays J Pathol ; 42(3): 415-422, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33361723

ABSTRACT

INTRODUCTION: Papillary thyroid carcinoma (PTC) is the ninth most common malignancy among women. Although the disease prognosis is good, less favourable outcomes are predicted in those with higher disease stages and nodal metastasis. Oestrogen- α (ER-α) expression has been associated with aggressive presentation and greater disease progression and has been proposed as a predictor for lymph node metastases. The objective of this study was to evaluate the association between ER expression and clinicopathological features i.e. lymph node metastasis, tumour size, extrathyroidal extension, histological variants of PTC , age groups , ethnic and gender. METHODS: We studied ER-α expression in 84 cases of PTC obtained within an eight-year period (2011-2018) by immunohistochemical technique (IHC). Associations between ER-α expression and clinicopathological features were evaluated using Fisher's exact test. The statistical significance was set at p < 0.05. RESULTS: ER-α was expressed in 13.1% of all the PTC cases examined (n=11/84). There were no associations observed between ER-α expression and lymph node metastasis (p=1.000), tumour size (p=0.970), extrathyroidal extension (p=0.677), variants of PTC (p=1.000), age groups (p=0.188), gender (p=0.725) or race (p=0.920). CONCLUSION: There was no evidence in this study to support the application of ER-α as prediction marker for lymph node metastasis or disease aggressiveness in PTC. Given that the scope of this study was limited to the protein expression of ER- α, we also propose the inclusion of molecular analysis of ESR1 gene expression, as well as inclusion of detailed clinical and radiological findings in future research investigating the role of ER-α in prognostication of PTC.


Subject(s)
Biomarkers, Tumor/metabolism , Estrogen Receptor alpha/biosynthesis , Thyroid Cancer, Papillary/pathology , Thyroid Neoplasms/pathology , Adult , Aged , Aged, 80 and over , Female , Humans , Lymphatic Metastasis/pathology , Male , Middle Aged
4.
Malays J Pathol ; 41(3): 293-301, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31901914

ABSTRACT

INTRODUCTION: Thyroid carcinoma is classically diagnosed based on certain histological criteria. In some cases, definitive diagnoses may be challenging when morphological features are equivocal. This study evaluated the usefulness of Cytokeratin 19 (CK 19) as an immunohistochemical marker to differentiate the different histological types of malignant thyroid neoplasms, particularly papillary thyroid carcinoma (PTC) from benign thyroid lesions. MATERIALS AND METHODS: We collected 54 malignant and 65 benign thyroid lesions diagnosed by histology in Universiti Kebangsaan Malaysia Medical Centre between January 2010 and December 2015. All cases were immunohistochemically stained with CK 19 and evaluated by 3 independent observers. The immunostaining patterns were scored based on the intensity and proportion of staining and finally graded as negative, weak positive, moderate positive or strong positive. In addition, the immunostaining scores of the malignant cases were correlated with their TNM pathological tumour stages. RESULTS: Cytokeratin 19 staining expression was higher in malignant than benign thyroid lesions (p < 0.001) which was most prominent among classical PTC. The four PTC cases that showed negative or weak staining were all follicular variant of PTC. Benign conditions were mostly negative or showed weak positivity. There was no correlation between CK 19 expression and TNM primary tumour stage (pT). CONCLUSION: Cytokeratin 19 is a useful marker in differentiating malignant from benign thyroid conditions particularly the classical PTC, provided its interpretation is by correlation with morphology and takes into consideration the intensity and proportion of positive staining.


Subject(s)
Keratin-19/metabolism , Thyroid Cancer, Papillary/pathology , Thyroid Gland/pathology , Thyroid Neoplasms/pathology , Adult , Aged , Biomarkers, Tumor/metabolism , Carcinoma, Papillary/metabolism , Carcinoma, Papillary/pathology , Diagnosis, Differential , Female , Humans , Immunohistochemistry/methods , Malaysia , Male , Middle Aged , Thyroid Cancer, Papillary/metabolism , Thyroid Gland/metabolism , Thyroid Neoplasms/metabolism
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