Value of posttransplant protocol biopsies in 2 biliary autoimmune liver diseases A step toward personalized immunosuppressive treatment

The value of protocol liver graft biopsies with good liver function was evaluated in patients with primary sclerosing cholangitis (PSC) or primary biliary cholangitis (PBC). A total of 250 protocol liver biopsy reports from 182 PSC and PBC patients were compared. Overall histopathological findings and those leading to changes in immunosuppression therapy were retrospectively analyzed. The mean time to first protocol biopsy after transplantation was 5.5 (+/- 4.5) years for PSC patients and 9.3 (+/- 6.6) years for PBC patients. More than 1 abnormal histopathological parameter was found in 43% and 62% of PSC and PBC patients, respectively. However, the histology was interpreted as normal by the pathologist in 78% of PSC and 60% of PBC patients. Immunosuppression therapy was reduced in 10% and increased in 6% patients due to protocol biopsy findings. Biopsies leading to increased immunosuppression therapy had more portal (P = .004), endothelial (P = .008), interphase (P = .021), and lobular (P = .000) inflammation. Mild histopathological findings were frequently found in the protocol biopsies despite the normal biochemistry. PBC patients had more histological abnormalities than those transplanted due to PSC; however, PBC patients had longer follow-up times. Immunosuppression therapy could be safely increased or decreased according to protocol biopsy findings after multidisciplinary meeting discussions.Peer reviewe

Lymph node metastases and elevated postoperative calcitonin : Predictors of poor survival in medullary thyroid carcinoma

Background Total thyroidectomy is the treatment of choice for medullary thyroid carcinoma (MTC), but the extent of neck dissection is controversial. Lymph node metastases, distant metastases, and old age are known predictors of poor survival. Patients Patients treated for primary MTC at Helsinki University Hospital from 1990 to 2009 were included (n = 54). Their clinical characteristics, treatment, and outcome were analysed retrospectively, these patients were followed until death or their last follow-up date. Results At last follow-up (3.4-23 years), of 54 MTC patients, 19 (35%) were disease-free, 17 (32%) were alive with disease, and 12 (22%) had died of MTC; six patients died of unrelated causes (11%). All disease-free patients were node negative and had normal postoperative calcitonin level. Of 19 disease-free patients, only four (21%) had undergone lymph node dissection. All patients who died of MTC were Stage IV at diagnosis and died with distant metastases. Disease-specific five-and 10-year survival was 84% and 76.2%. Advanced T-stage (p = 0.004), lymph node metastases (p <0.001), distant metastases (p <0.001), stage (p <0.001), and elevated postoperative calcitonin (p <0.001) significantly associated with survival. Conclusions Lymph node metastasis and elevated postoperative calcitonin are important prognostic factors. Patients with lymph node metastasis and/or elevated postoperative calcitonin with present treatments cannot become disease-free, but most of them can live a long life with metastasis.Peer reviewe

PNPLA3 allele frequency has no impact on biliary bile acid composition or disease course in patients with primary sclerosing cholangitis

Funding Information: Financial support: The study was supported by a grant from State funding for University-level health research TYH2016208 (MF). https://hussote.sharepoint.com/sites/00004/Tutkimusrahoitus/Sivut/default.aspx The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: Copyright: © 2022 Färkkilä et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Background and aims Primary sclerosing cholangitis (PSC) is a chronic inflammatory disease that leads to bile duct strictures, cholestasis, and biliary cirrhosis. PNPLA3 (patatin-like phospholipase domain containing 3), regulates cellular lipid synthesis by converting lysophosphatidic acid into phosphatidic acid. Isoleucine mutation to methionine at position 148 (I148M) causes a loss of this function. Only two studies, with contradictory results, have evaluated the role of PNPLA3 in PSC. The rs738409(G) variant of PNPLA3 has been associated with an increased risk for transplantation in male patients with dominant strictures (DS). The study aimed to evaluate the PNPLA3 allele frequency effect on the clinical outcomes, progression, and prognosis of PSC. Furthermore, we analyzed the impact of PNPLA3 on phospholipid and bile acid composition to evaluate the effect of the PNPLA3 status on UDCA response. Patients and methods We recruited 560 patients prospectively and collected clinical and laboratory data as well as liver histology and imaging findings. PNPLA3 (CC, CG, GG) alleles were analyzed with TaqManTM. We also analyzed bile acids (BA), cholesterol and phospholipids and individual BA from a sample aspirated during endoscopic retrograde cholangiography (ERC). Results Among the recruited patients, 58.4%, 35.7% and 5.9% had the wild (CC), heterozygous (CG) and homozygous (GG) alleles, respectively. The PNPLA3 haplotype did not impact bile composition or individual BA. In addition, we found no differences in age at diagnosis, disease progression, liver fibrosis or survival between the cohorts. Conclusions The PNPLA3 I148M variant had no significant impact on on bile composition, including UDCA content, clinical outcomes, progression of liver fibrosis, hepatobiliary cancer risk, liver transplantation, or overall survival.Peer reviewe

Novel histological scoring for predicting disease outcome in primary sclerosing cholangitis

Background Primary sclerosing cholangitis (PSC) is a progressive cholestatic liver disease that may lead to liver cirrhosis or cholangiocarcinoma. Liver histology and fibrosis stage are predictive markers of disease progression, and histological cirrhosis is defined as a significant endpoint. PSC-specific histological scoring methods are lacking at present. We aimed to develop a tailored classification system for PSC, the PSC histoscore, based on histological features associated with disease progression. Methods In total, 300 PSC patients diagnosed between 1988 and 2018 were enrolled; their data were collected from the PSC registry (Helsinki University Hospital), and liver specimens were obtained from the Biobank of Helsinki. Five histological features included in the adapted Nakanuma scoring system and three additional parameters typical for PSC histology were evaluated and compared with the clinical and laboratory data. A compound endpoint consisting of liver transplantation, development of cholangiocarcinoma, or death was used as outcome measurement. Results Stage (fibrosis, bile duct loss, ductular reaction, and chronic cholestasis) and grade (portal inflammation, portal edema, hepatitis activity, and cholangitis activity) parameters were found to be independent predictive risk factors for the compound endpoint (P < 0.001). High disease grade (2-6) and stage (2-4) better correlated with clinical endpoints when evaluated with the PSC histoscore system compared to the adapted Nakanuma classification. The risk for disease progression in sequential endoscopic retrograde cholangiography (ERC) examinations was increased with elevated total PSC histoscores. Conclusion The PSC histoscore is a novel histological classification system for PSC. Our findings support the applicability of liver histology as a marker for disease progression.Peer reviewe

Role of autoimmunity in patients transplanted for acute liver failure of unknown origin: a clinical and graft-biopsy analysis

Abstract Background The etiology and prognosis of acute liver failure (ALF) remains unknown in a significant proportion of cases. Signs of autoimmunity may be present, but no consistent pattern has been observed. We aimed to analyse if pretransplant immunological findings, HLA haplotypes and clinical features among patients with unknown etiology differ from those of autoimmune or other known etiology. We also analysed whether such signs impact post-transplant biopsy findings or complications. Methods All adult ALF patients undergoing liver transplantation (LT) in Finland during 1987-2015 were followed to 2016. Data were from the LT registry, pathology database and patient records. 124 patients were included in the analysis. Study subgroups were acute autoimmune hepatitis (AIH) (n=25), known non-AIH etiology (n=54), and unknown etiology (n=45). Results The unknown etiology group differed from the known non-AIH group with regard to the following pretransplant autoimmunity-associated features: positive pANCA (35% vs 8%; P=0.02), higher mean IgA (3.2±1.7 vs 2.1±1.4, P=0.006) and IgG (12.7±4.3 vs 8.5±3.6, P=0.001). AIH-associated HLA haplotypes B8, DR3 and B8DR3 were more common in the AIH group (40%, 44% and 36%) and in the unknown group (29%, 33% and 29%) than in the known non-AIH group (11%, 17% and 11%) or in the Finnish general population (17%, 18% and 8%). However, these findings had no association with protocol biopsies, extrahepatic autoimmune diseases or survival. Patients with ≥1 rejection episode had higher pretransplant IgA (3.7±2.3 vs 2.6±1.2, P=0.02) and IgG (16.4±10.2 vs 12.4±6.8, P=0.03) than those without rejections. Conclusions Autoimmunity-associated pretransplant laboratory findings and HLA haplotypes were common in ALF of unknown etiology, but showed minimal predictive value for post-transplant biopsy findings, clinical complications or survival.Peer reviewe

Impact of paediatric onset primary sclerosing cholangitis on clinical course and outcome of inflammatory bowel disease : a case-control population-based study in Finland

Introduction and aim: The aim of this study was to investigate the outcome of a paediatric onset of inflammatory bowel disease (IBD) in a cohort of subjects with primary sclerosing cholangitis (PSC) and in a matched-age population-based control group without PSC. Methods: We identified 28 IBD-PSC cases (median age at IBD diagnosis 12.5 years, 25-75th: 10-16 years) and selected three IBD controls for each case matched for age and year of IBD diagnosis. All data regarding the gastrointestinal tract and liver were collected at diagnosis and at last follow-up (median 15 years). Results: At diagnosis the prevalence of pancolitis was similar between the groups (78% and 79%, respectively p = -.30), but histologic inflammation was milder in IBD-PSC (61% vs 30%, p = .06). At last follow-up (median age 29 years) pancolitis was less frequent (6% and 33%, respectively p = .04) and the remission higher (76% and 47%, respectively p = .08) in IBD-PSC patients than in IBD patients. Panproctolectomy (32% in IBD-PSC and 34% in IBD, p = 1.0) and the rate of pouchitis (62% and 70%, respectively p = .8) were similar. Conclusions: The outcome of paediatric onset IBD in patients with PSC in adulthood seems to be comparable to those with IBD only.Peer reviewe

A deep learning–based algorithm for tall cell detection in papillary thyroid carcinoma

Introduction According to the World Health Organization, the tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC) comprising at least 30% epithelial cells two to three times as tall as they are wide. In practice, applying this definition is difficult causing substantial interobserver variability. We aimed to train a deep learning algorithm to detect and quantify the proportion of tall cells (TCs) in PTC. Methods We trained the deep learning algorithm using supervised learning, testing it on an independent dataset, and further validating it on an independent set of 90 PTC samples from patients treated at the Hospital District of Helsinki and Uusimaa between 2003 and 2013. We compared the algorithm-based TC percentage to the independent scoring by a human investigator and how those scorings associated with disease outcomes. Additionally, we assessed the TC score in 71 local and distant tumor relapse samples from patients with aggressive disease. Results In the test set, the deep learning algorithm detected TCs with a sensitivity of 93.7% and a specificity of 94.5%, whereas the sensitivity fell to 90.9% and specificity to 94.1% for non-TC areas. In the validation set, the deep learning algorithm TC scores correlated with a diminished relapse-free survival using cutoff points of 10% (p = 0.044), 20% (p < 0.01), and 30% (p = 0.036). The visually assessed TC score did not statistically significantly predict survival at any of the analyzed cutoff points. We observed no statistically significant difference in the TC score between primary tumors and relapse tumors determined by the deep learning algorithm or visually. Conclusions We present a novel deep learning–based algorithm to detect tall cells, showing that a high deep learning–based TC score represents a statistically significant predictor of less favorable relapse-free survival in PTC.Peer reviewe

Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning

The Ki-67 proliferation index (PI) is a prognostic factor in neuroendocrine tumors (NETs) and defines tumor grade. Analysis of Ki-67 PI requires calculation of Ki-67-positive and Ki-67-negative tumor cells, which is highly subjective. To overcome this, we developed a deep learning-based Ki-67 PI algorithm (KAI) that objectively calculates Ki-67 PI. Our study material consisted of NETs divided into training (n = 39), testing (n = 124), and validation (n = 60) series. All slides were digitized and processed in the Aiforia(R) Create (Aiforia Technologies, Helsinki, Finland) platform. The ICC between the pathologists and the KAI was 0.89. In 46% of the tumors, the Ki-67 PIs calculated by the pathologists and the KAI were the same. In 12% of the tumors, the Ki-67 PI calculated by the KAI was 1% lower and in 42% of the tumors on average 3% higher. The DL-based Ki-67 PI algorithm yields results similar to human observers. While the algorithm cannot replace the pathologist, it can assist in the laborious Ki-67 PI assessment of NETs. In the future, this approach could be useful in, for example, multi-center clinical trials where objective estimation of Ki-67 PI is crucial.Peer reviewe

Surveillance of primary sclerosing cholangitis with ERC and brush cytology : risk factors for cholangiocarcinoma

Objective: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease leading to bile duct strictures and fibrosis, and predisposing to cholangiocarcinoma (CCA). Biliary dysplasia is a known precursor of CCA. In our unit, PSC patients undergo regular surveillance with ERC and brush cytology (BC), and liver transplantation is an option in case with biliary dysplasia. We evaluated the risk factors for biliary dysplasia and CCA based on ERC imaging, BC and liver function tests. Patients and methods: Seven hundred and eighty-eight ERCs were performed with BC for 447 PSC patients. ERC images were evaluated using the modified Amsterdam score, neutrophilic inflammation was assessed in BC, and liver function tests were collected. Ploidy analysis with DNA flow cytometry was performed in cases with advanced PSC or previous suspicious BC/aneuploidy. The endpoint was either a benign disease course (follow-up for >= 2.4 years after the latest ERC), benign histology, biliary dysplasia or CCA. Results: Benign disease course was seen in 424/447 (including 23 cases with biliary dysplasia), and CCA in 17 (3.8%) patients. Gallbladder carcinoma/carcinoma in situ was diagnosed in three patients. Advanced ERC findings, male gender, suspicious BC, aneuploidy in flow cytometry, inflammation, and elevation of ALP, bilirubin, ALT, AST, GGT, CEA and CA19-9 represented significant risk factors for CCA in univariate analysis. Conclusions: PSC patients with advanced bile duct disease and elevated liver enzymes, CEA or CA19-9, inflammation or suspicious BC are most likely to develop CCA. These patients may benefit from surveillance with BC if early liver transplantation is possible.Peer reviewe

Chronic cholestasis detection by a novel tool : automated analysis of cytokeratin 7-stained liver specimens

Background The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of 210 liver specimens. We aimed to study the correlation between the AI model's results and disease progression. The cohort of liver biopsies which served as a model of chronic cholestatic liver disease comprised of patients diagnosed with primary sclerosing cholangitis (PSC). Methods In a cohort of patients with PSC identified from the PSC registry of the University Hospital of Helsinki, their K7-stained liver biopsy specimens were scored by a pathologist (human K7 score) and then digitally analyzed for K7-positive hepatocytes (K7%area). The digital analysis was by a K7-AI model created in an Aiforia Technologies cloud platform. For validation, values were human K7 score, stage of disease (Metavir and Nakunuma fibrosis score), and plasma liver enzymes indicating clinical cholestasis, all subjected to correlation analysis. Results The K7-AI model results (K7%area) correlated with the human K7 score (0.896; p < 2.2e(- 16)). In addition, K7%area correlated with stage of PSC (Metavir 0.446; p < 1.849e(- 10) and Nakanuma 0.424; p < 4.23e(- 10)) and with plasma alkaline phosphatase (P-ALP) levels (0.369, p < 5.749e(- 5)). Conclusions The accuracy of the AI-based analysis was comparable to that of the human K7 score. Automated quantitative image analysis correlated with stage of PSC and with P-ALP. Based on the results of the K7-AI model, we recommend K7 staining in the assessment of cholestasis by means of automated methods that provide fast (9.75 s/specimen) quantitative analysis.Peer reviewe