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1.
Hepatol Commun ; 2(8): 893-905, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30094401

ABSTRACT

Noninvasive serum biomarkers (nonalcoholic fatty liver disease fibrosis score [NFS], fibrosis 4 score [FIB-4], or enhanced liver fibrosis [ELF] test) are recommended as first-line tools to determine the risk of advanced fibrosis in nonalcoholic fatty liver disease. We aimed to assess the utility of a pragmatic approach to screening for clinically significant fibrosis in primary care and diabetes clinics. We recruited 252 patients from an endocrine clinic or primary care facility. Anthropometric measurements, ELF test, ultrasound, and liver stiffness measurements (LSMs) were performed. Clinically significant fibrosis was defined as LSM ≥8.2 kPa or ELF ≥9.8. A subgroup of patients underwent liver biopsy (n = 48) or had imaging diagnostic of cirrhosis (n = 14). Patients were 57.3 ± 12.3 years old with a high prevalence of metabolic syndrome (84.5%), type 2 diabetes (82.5%), and body mass index (BMI) ≥40 kg/m2 (21.8%). LSM met quality criteria in 230 (91.3%) patients. NFS and FIB-4 combined had a high negative predictive value (90.0%) for excluding LSM ≥8.2 kPa. However, 84.1% of patients had indeterminate or high NFS or FIB-4 scores requiring further assessment. LSM ≥8.2 kPa and ELF ≥9.8 were present in 31.3% and 28.6% of patients, respectively. Following adjustment for age, BMI, sex, and presence of advanced fibrosis, older age was independently associated with ELF ≥9.8 (adjusted odds ratio, 1.14; 95% confidence interval, 1.06-1.24), whereas increasing BMI was independently associated with LSM ≥8.2 kPa (adjusted odds ratio, 1.15; 95% confidence interval, 1.01-1.30). Concordant LSM <8.2 kPa and ELF <9.8 and concordant LSM ≥8.2 kPa and ELF ≥9.8 had a high negative predictive value (91.7%) and positive predictive value (95.8%) for excluding and identifying clinically significant fibrosis, respectively. Conclusion: Simple scoring tools alone lack accuracy. LSM accuracy is influenced by severe obesity, whereas age impacts the ELF test. Further studies are required to confirm whether combining LSM and ELF may enhance accuracy and confidence in identifying clinically significant fibrosis. (Hepatology Communications 2018; 00:000-000).

2.
Virchows Arch ; 454(1): 107-14, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19031084

ABSTRACT

Adenoid cystic carcinoma (ACC) of the breast is a rare tumour. Its recognition as a special type of breast carcinoma is very important because its prognosis is better than the not-otherwise-specified invasive ductal carcinoma and its treatment may not include axillary dissection. Tubular adenosis (TA) is a very rare condition of the breast that is histologically benign; however, it has been described in association with invasive ductal carcinoma. There are scant data regarding the molecular genomic alterations in ACC of the breast and no data has been presented on TA. Herein, we provide a morphological characterisation of TA arising synchronically with ACC in the breast. To characterise these lesions, we performed ultrastructural analysis, three-dimensional reconstruction and molecular analysis using immunohistochemistry and comparative genomic hybridisation. The copy number alterations found in ACC were restricted to small deletions on 16p and 17q only, whereas the TA harboured gains on 1q, 5p, 8q, 10q, 11p and 11q and losses on 1p, 10q, 11q, 12q, 14q, 15q and 16q. These molecular data highlight the genomic instability of TA, a benign florid proliferation intermingled with ACC, and do not provide evidence of molecular evolution from TA to ACC.


Subject(s)
Breast Neoplasms/complications , Breast Neoplasms/pathology , Carcinoma, Adenoid Cystic/complications , Carcinoma, Adenoid Cystic/pathology , Fibrocystic Breast Disease/complications , Fibrocystic Breast Disease/pathology , Actins/metabolism , Breast/metabolism , Breast/pathology , Breast Neoplasms/genetics , Carcinoma, Adenoid Cystic/genetics , Cell Proliferation , DNA, Neoplasm , Female , Fibrocystic Breast Disease/genetics , Genomic Instability/genetics , Humans , Keratin-19/metabolism , Keratin-7/metabolism , Middle Aged , S100 Proteins/metabolism
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