Displaying publications 1 - 20 of 66 in total

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  1. Hooi YT, Balasubramaniam VRMT
    Pathology, 2023 Dec;55(7):907-916.
    PMID: 37852802 DOI: 10.1016/j.pathol.2023.08.007
    Enterovirus D68 (EV-D68) is one of hundreds of non-polio enteroviruses that typically cause cold-like respiratory illness. The first EV-D68 outbreak in the United States in 2014 aroused widespread concern among the public and health authorities. The infection was found to be associated with increased surveillance of acute flaccid myelitis, a neurological condition that causes limb paralysis in conjunction with spinal cord inflammation. In vitro studies utilising two-dimensional (2D) and three-dimensional (3D) culture systems have been employed to elucidate the pathogenic mechanism of EV-D68. Various animal models have also been developed to investigate viral tropism and distribution, pathogenesis, and immune responses during EV-D68 infection. EV-D68 infections have primarily been investigated in respiratory, intestinal and neural cell lines/tissues, as well as in small-size immunocompetent rodent models that were limited to a young age. Some studies have implemented strategies to overcome the barriers by using immunodeficient mice or virus adaptation. Although the existing models may not fully recapitulate both respiratory and neurological disease observed in human EV-D68 infection, they have been valuable for studying pathogenesis and evaluating potential vaccine or therapeutic candidates. In this review, we summarise the methodologies and findings from each experimental model and discuss their applications and limitations.
  2. Denize T, Irtan S, Tabone MD, Coulomb A, Gharbi S, Ducou Le Pointe H, et al.
    Pathology, 2023 Oct;55(6):890-892.
    PMID: 37393145 DOI: 10.1016/j.pathol.2023.03.015
    Matched MeSH terms: Abdomen/pathology; Pancreas/pathology
  3. Tay Za K, Bee PC, Shanmugam H
    Pathology, 2020 Feb;52(2):273-276.
    PMID: 31883672 DOI: 10.1016/j.pathol.2019.10.013
    Matched MeSH terms: Carcinoma/pathology*; Lung Neoplasms/pathology*
  4. Ting HY, Sthaneshwar P, Bee PC, Shanmugam H, Lim M
    Pathology, 2019 Aug;51(5):507-511.
    PMID: 31253381 DOI: 10.1016/j.pathol.2019.04.002
    Serum protein (SPE) and immunofixation electrophoresis (IFE) have been extensively validated for the routine use of identifying, characterising and quantifying monoclonal proteins. However, accurate quantitation of IgA monoclonal proteins can be difficult when they migrate in to the β fraction, due to co-migration with transferrin and complement components. The heavy/light chain (HLC) immunoassay is an additional tool for measuring intact immunoglobulin monoclonal proteins. Therefore, we aimed to examine the clinical utility of the HLC assay for the disease monitoring of IgG and IgA multiple myeloma (MM) patients. A total of 177 samples from 30 MM patients (21 IgG and 9 IgA) were analysed retrospectively with median number of six follow up samples per patient (range 3-13). Serum free light chains (sFLC) and HLC were quantified using Freelite and Hevylite immunoassays. Details of M-protein concentration, β-globulin levels, total immunoglobulin levels and disease treatment response were obtained from the laboratory and patient information system. Passing-Bablok regression analysis was performed to compare (i) M-protein quantification with involved HLC (iHLC) and (ii) total immunoglobulin with summated HLC pairs for each immunoglobulin type (e.g., IgGκ+IgGλ). For 127 IgG MM samples, IgG iHLC levels showed a good correlation with SPE quantification (iHLC y=0.96x+4.9; r=0.917) and summated HLC showed a good correlation with total IgG concentration (summated HLC y=0.94x+5.74; r=0.91). In total, 95/127 (75%) IgG MM follow-up samples had an abnormal HLC ratio and 122/127 (96%) had a positive SPE, probably due to the lower sensitivity of HLC assay in detecting clonality in patients with IgG MM. Consistent with this, one patient assigned a very good partial response by International Myeloma Working Group criteria would be assigned a complete response based on HLC measurements. For 50 IgA MM samples, 42/50 (84%) had an abnormal HLC ratio. Conversely, 50/50 (100%) of M-proteins showed β fraction migration and were difficult to accurately quantify by SPE. Therefore, M-protein concentration and iHLC did not correlate as well in IgA MM (y=1.9x-8.4; r=0.8) compared to IgG MM. However, there was good correlation between total IgA and summated IgA HLC (IgAκ+IgAλ y=1.35x-0.33; r=0.95). Of the 8/50 (16%) IgA samples with a normal HLC ratio, 6/8 (75%) were consistent with the disease status being in complete remission. Interestingly, in one IgA MM patient, SPE and IFE were negative, but the serum FLC ratio and involved FLC were highly abnormal, consistent with the presence of light chain escape. Our data suggest HLC measurements could add value to the current disease monitoring of MM patients. In IgG MM patients, the M-protein level correlated well with HLC values. The HLC assay complements the serum FLC assay and is especially useful for monitoring of IgA MM patients who display M-proteins migrating in the β region on SPE.
  5. Siar CH, Ng KH
    Pathology, 2019 Aug;51(5):494-501.
    PMID: 31262562 DOI: 10.1016/j.pathol.2019.04.004
    The ameloblastoma is the most common and clinically significant odontogenic epithelial neoplasm known for its locally-invasive behaviour and high recurrence risk. Epithelial-to-mesenchymal transition (EMT) is a fundamental process whereby epithelial cells lose their epithelial characteristics and gain mesenchymal properties. EMT induction via transcription repression has been investigated in ameloblastoma. However, morphologically evident mesenchymal phenotypic transition remains ill-defined. To determine this, 24 unicystic (UA), 34 solid/multicystic (SA) and 18 recurrent ameloblastoma (RA) were immunohistochemically examined for three EMT-related mesenchymal markers, alpha smooth muscle actin (α-SMA), osteonectin and neuronal cadherin (N-cadherin). All three factors were heterogeneously detected in ameloblastoma samples (α-SMA, n=71/76, 93.4%; osteonectin, n=72/76, 94.7%; N-cadherin, n=24/76, 31.6%). In the tumoural parenchyma, immunoreactive cells were not morphologically distinct from their non-reactive cellular counterparts. Rather, α-SMA and osteonectin predominantly labelled the cytoplasm of central polyhedral > peripheral columnar/cuboidal tumour cells. N-cadherin demonstrated weak-to-moderate circumferential membranous staining in both neoplastic cell types and cytoplasmic expression in spindle-celled epithelium of desmoplastic amelobastoma. For all tumour subsets, α-SMA and osteonectin scored significantly higher in the stroma > parenchyma whilst α-SMA was overexpressed along the tumour invasive front > centre (p<0.05). Stromal N-cadherin scored higher in SA > UA and RA > UA (p<0.05). Other clinicopathological parameters showed no significant associations. Taken together, acquisition of mesenchymal traits without morphologically evident mesenchymal alteration suggests partial EMT in ameloblastoma. Stromal upregulation of these proteins in SA and RA implicates a role in local invasiveness.
    Matched MeSH terms: Ameloblastoma/pathology*; Jaw Neoplasms/pathology*; Neoplasm Invasiveness/pathology*
  6. Ng KL, Yap NY, Rajandram R, Small D, Pailoor J, Ong TA, et al.
    Pathology, 2018 Aug;50(5):511-518.
    PMID: 29935727 DOI: 10.1016/j.pathol.2018.03.003
    Better characterisation and understanding of renal cell carcinoma (RCC) development and progression lead to better diagnosis and clinical outcomes. In this study, expression of nuclear factor-kappa B (NF-κB) subunits: p65 (RelA), p105/p50, p100/p52, and cRel in RCC tissue were compared with corresponding normal kidney, along with tumour characteristics and survival outcome. Ninety-six cases of RCC with paired normal kidney were analysed. Clinicopathological data, demographics and survival data were available. Immunohistochemistry (IHC) for NF-κB subtypes was analysed using the Aperio digital pathology system for overall cellular expression and localisation. The prognostic cancer-specific survival value of the subunits in RCC patients was analysed. Approximately 50% of patients had clinical stage T1, with 22 patients having metastases at presentation. RCC subtypes were: clear cell (n = 76); papillary (n = 11); chromophobe (n = 5); clear cell tubulopapillary (n = 3); and one multilocular cystic RCC. Median follow up was 54.5 months (0.2-135), with 28 deaths at time of analysis. NF-κB p65 had higher overall and nuclear expressions, with lower overall and nuclear expressions of p50, p52 and cRel in RCC compared with normal kidney. Higher expressions of p65 (nuclear), p52 (overall and nuclear) and p50 (overall) correlated significantly with worse cancer-specific survival. This is the first large series of analysis of expression of NF-κB subunits in RCC. Especially with regards to the less studied subunits (p52, p50, cRel), our results allow a better understanding the role of NF-κB in RCC development and progression, and may pave the way for future targeted NF-κB subunit specific therapies.
    Matched MeSH terms: Kidney Neoplasms/pathology
  7. Ng KL, Del Vecchio SJ, Samaratunga H, Morais C, Rajandram R, Vesey DA, et al.
    Pathology, 2018 Aug;50(5):504-510.
    PMID: 29970253 DOI: 10.1016/j.pathol.2018.01.007
    One of the challenges in differentiating chromophobe renal cell carcinoma (chRCC) from benign renal oncocytoma (RO) is overlapping morphology between the two subtypes. The aim of this study was to investigate the usefulness of expression of leptin (Ob) and its receptor (ObR) in discriminating chRCC from RO. Sections from paraffin-embedded, formalin-fixed tumour nephrectomy specimens of 45 patients, made up of 30 chRCC (15 eosinophilic variant and 15 non-eosinophilic variant) and 15 RO, were used in this study. Samples (30) of clear cell RCC (ccRCC), the most common histological subtype, were used to verify staining patterns found by others in our cohort of Australasian patients. Matched morphologically normal non-cancer kidney tissues were included for each specimen. Sections were batch-immunostained using antibodies against Ob and ObR. Stained sections were digitally scanned using Aperio ImageScope, and the expression pattern of Ob and ObR was studied. In this cohort, male to female ratio was 2:1; median age was 64 (45-88 years); and median tumour size was 3.8 cm (range 1.2-18 cm). There were 47 (62.7%) T1, seven T2, 20 T3 and one T4 stage RCC. Two patients with ccRCC presented with metastases. Nuclear expression of Ob was significantly higher in RO compared with chRCC. The increased nuclear expression of Ob in RO compared with chRCC may be a useful aid in the difficult histological differentiation of RO from chRCC, especially eosinophilic variants of chRCC.
    Matched MeSH terms: Carcinoma, Renal Cell/pathology*; Kidney/pathology; Kidney Neoplasms/pathology; Adenoma, Oxyphilic/pathology
  8. Loo SK, Ch'ng ES, Lawrie CH, Muruzabal MA, Gaafar A, Pomposo MP, et al.
    Pathology, 2017 Dec;49(7):731-739.
    PMID: 29074044 DOI: 10.1016/j.pathol.2017.08.009
    DNMT1 is a target of approved anti-cancer drugs including decitabine. However, the prognostic value of DNMT1 protein expression in R-CHOP-treated diffuse large B-cell lymphomas (DLBCLs) remains unexplored. Here we showed that DNMT1 was expressed in the majority of DLBCL cases (n = 209/230, 90.9%) with higher expression in germinal centre B-cell-like (GCB)-DLBCL subtype. Low and negative DNMT1 expression (20% cut-off, n = 33/230, 14.3%) was predictive of worse overall survival (OS; p < 0.001) and progression-free survival (PFS; p < 0.001). Nonetheless, of the 209 DNMT1 positive patients, 33% and 42% did not achieve 5-year OS and PFS, respectively, indicating that DNMT1 positive patients showed considerably heterogeneous outcomes. Moreover, DNMT1 was frequently expressed in mitotic cells and significantly correlated with Ki-67 or BCL6 expression (r = 0.60 or 0.44, respectively; p < 0.001). We demonstrate that DNMT1 is predictive of DLBCL patients' survival, and suggest that DNMT1 could be a DLBCL therapeutic target due to its significant association with Ki-67.
    Matched MeSH terms: B-Lymphocytes/pathology; Lymphoma, Large B-Cell, Diffuse/pathology; Germinal Center/pathology
  9. Mohamad Zaki FH, Nik Hussain NH, Ismail P, Wan Yusoff WZ, Othman NH
    Pathology, 2016 Feb;48 Suppl 1:S148.
    PMID: 27772923 DOI: 10.1016/j.pathol.2015.12.402
    Background: The major problem with cervical cancer screening in countries which have no organized national screening program for cervical cancer is sub-optimal participation. Implementation of self-sampling method may increase the participation of women to screen for cervical cancer.
    Aims: To determine the agreement of cytological diagnoses made on samples collected by women themselves (self-sampling) versus cytological diagnoses made on samples collected
    by physicians (Physician sampling)
    Methods: We invited women volunteers to undergo two procedures; cervical self-sampling using the Evalyn brush and physician scraping using Cervex brush. They women were
    shown a video presentation on how to take their own cervical samples before the procedure. The samples taken by physicians were taken as per routine testing (Gold Standard). All
    samples were subjected to Thin Prep monolayer smears. The diagnoses made were according to the Bethesda classification. The results from the two sampling methods were analysed and compared.
    Results: A total of 367 women were recruited into the study. Thin Prep smears by physicians were better in terms of volume and variety of the cells seen. There is significant good agreement of the cytological diagnoses made on the samples from the two sampling methods with the Kappa value of 0.568 (p=0.040). The Thin Prep smears by self-sampling method were better in detecting microorganisms.
    Conclusion: This study shows that samples taken by women themselves (self-sampling) and physicians sampling had good cytology agreement. Self-sampling could be the method of
    choice in countries in which the coverage of women attending clinics for screening for cervical cancer is poor.
  10. Rahman WF, Jalil NA, Samsudin H, Merican SR, Lam AK
    Pathology, 2016 Feb;48 Suppl 1:S160.
    PMID: 27772966 DOI: 10.1016/j.pathol.2015.12.439
  11. Wong HT, Mun KS, Zulkiflee AB, Prepageran N
    Pathology, 2016 Jan;48(1):95-6.
    PMID: 27020222 DOI: 10.1016/j.pathol.2015.11.022
    Matched MeSH terms: Maxillary Sinus/pathology; Maxillary Sinus Neoplasms/pathology*; Hemangioendothelioma, Epithelioid/pathology*
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