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Sökning: L773:0028 3835 OR L773:1423 0194 > Linköpings universitet

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1.
  • Järhult, Johannes, et al. (författare)
  • First Report on Metastasizing Small Bowel Carcinoids in First-Degree Relatives in Three Generations
  • 2010
  • Ingår i: Neuroendocrinology. - : S. Karger AG. - 0028-3835 .- 1423-0194. ; 91:4, s. 318-323
  • Tidskriftsartikel (refereegranskat)abstract
    • Background/Aims: There is an established association between the multiple endocrine neoplasia type 1 (MEN 1) syndrome and foregut carcinoids. Some registry studies also indicate that offspring to carcinoid patients run an increased risk of developing a carcinoid tumor themselves. However, there are only scattered reports of gastrointestinal carcinoids in two generations. The aim of this study was to describe the clinical characteristics as well as the histopathological, immunohistochemical (IHC) and genetic data of metastasizing ileal carcinoids in three consecutive first-degree relatives. Methods: The histopathological and IHC analyses were performed on newly cut sections of the tumor specimens and included growth pattern, proliferation index (Ki67) as well as expression of established neuroendocrine markers and recently introduced cocaine-amphetamine-regulated transcript (CART). The genetic analyses were focused on establishing whether a connection with the MEN 1 syndrome existed in this family, by means of mutation screening using polymerase chain reaction, multiple ligation-dependent probe amplification, and genotyping using fluorescent-labeled microsatellite markers. Results: Histopathology and IHC revealed that the tumors were virtually identical, with only minor differences in proliferation index and expression of CART. Genetic analyses indicated that the inheritance of the small bowel carcinoids in the family was not linked to the MEN1 gene. Conclusion: Metastasizing small bowel carcinoids have been found in first-degree relatives in three consecutive generations. All three tumors were very similar when characterized by histopathology and IHC. Based on clinical findings and genetic analyses, it seems unlikely, although not completely excluded, that inheritance was linked to the MEN 1 syndrome. Copyright (c) 2010 S. Karger AG, Basel
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2.
  • Kjellman, M., et al. (författare)
  • A Plasma Protein Biomarker Strategy for Detection of Small Intestinal Neuroendocrine Tumors
  • 2021
  • Ingår i: Neuroendocrinology. - : S. Karger AG. - 0028-3835 .- 1423-0194. ; 111:9, s. 840-849
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Small intestinal neuroendocrine tumors (SI-NETs) are difficult to diagnose in the early stage of disease. Current blood biomarkers such as chromogranin A (CgA) and 5-hydroxyindolacetic acid have low sensitivity (SEN) and specificity (SPE). This is a first preplanned interim analysis (Nordic non-interventional, prospective, exploratory, EXPLAIN study [NCT02630654]). Its objective is to investigate if a plasma protein multi-biomarker strategy can improve diagnostic accuracy (ACC) in SI-NETs. Methods: At the time of diagnosis, before any disease-specific treatment was initiated, blood was collected from patients with advanced SI-NETs and 92 putative cancer-related plasma proteins from 135 patients were analyzed and compared with the results of age- and sex-matched controls (n = 143), using multiplex proximity extension assay and machine learning techniques. Results: Using a random forest model including 12 top ranked plasma proteins in patients with SI-NETs, the multi-biomarker strategy showed SEN and SPE of 89 and 91%, respectively, with negative predictive value (NPV) and positive predictive value (PPV) of 90 and 91%, respectively, to identify patients with regional or metastatic disease with an area under the receiver operator characteristic curve (AUROC) of 99%. In 30 patients with normal CgA concentrations, the model provided a diagnostic SPE of 98%, SEN of 56%, and NPV 90%, PPV of 90%, and AUROC 97%, regardless of proton pump inhibitor intake. Conclusion: This interim analysis demonstrates that a multi-biomarker/machine learning strategy improves diagnostic ACC of patients with SI-NET at the time of diagnosis, especially in patients with normal CgA levels. The results indicate that this multi-biomarker strategy can be useful for early detection of SI-NETs at presentation and conceivably detect recurrence after radical primary resection.
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3.
  • Landerholm, Kalle, et al. (författare)
  • Cocaine- and Amphetamine-Regulated Transcript in Neuroendocrine Tumors
  • 2011
  • Ingår i: Neuroendocrinology. - : S. Karger AG. - 0028-3835 .- 1423-0194. ; 94:3, s. 228-236
  • Tidskriftsartikel (refereegranskat)abstract
    • Background/Aims: Cocaine-and amphetamine-regulated transcript (CART) is an anorexigenic regulatory peptide highly expressed in the brain's appetite control centers, but also in peripheral neurons and in endocrine cells in the adrenal medulla, thyroid, pancreatic islets, and in the gastrointestinal tract. Plasma levels of CART were recently shown to be elevated in patients with neuroendocrine tumors (NETs), but the cellular sources of CART in NETs have remained unknown. The aim of the study was to establish whether CART is expressed in various types of NETs and, if so, to examine the frequency, distribution and phenotype of CART-expressing cells. Methods: Tumor specimens from 133 NETs originating in the stomach, ileum, rectum, pancreas and thyroid were examined with immunohistochemistry and in situ hybridization. The expression of CART was quantified and the CART-expressing cells were phenotyped by double staining for established markers and hormones. Results: CART-expressing tumor cells were found in the majority of the examined NETs. The expression pattern of CART was highly heterogeneous not only between tumors, but also within individual tumors. In 14% of the NETs, CART was found in a major population of the tumor cells. Conclusion: CART is produced in the majority of NETs, regardless of tumor origin. This likely explains the elevated levels of circulating CART in certain NETs patients, as recently described. CART could therefore prove to be a useful tool in the diagnostics of NETs not only in blood samples, but also in histopathological specimens. Copyright (C) 2011 S. Karger AG, Basel
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4.
  • Landerholm, Kalle, et al. (författare)
  • Ki-67 Index and Solid Growth Pattern as Prognostic Markers in Small Intestinal Neuroendocrine Tumors
  • 2015
  • Ingår i: Neuroendocrinology. - : S. Karger. - 0028-3835 .- 1423-0194. ; 102:4, s. 327-334
  • Tidskriftsartikel (refereegranskat)abstract
    • Background/aims: The prognostic value of histopathological grading and the growth pattern of small intestinal neuroendocrine tumors (SI-NET) is unclear. In particular, the cutoff level between grades G1 and G2 at Ki-67 index above 2% is an open issue, and both lower and higher cutoffs have been proposed. The morphological solid growth pattern (SGP) in SI-NET has been reported to be associated with worse survival. The present study investigates whether a Ki-67 index cutoff of 1% has a higher predictive power than one of 2% for disease-specific survival in SI-NET, and whether an SGP is associated with survival.Patients and methods: From a population-based cohort, 127 SI-NET patients with available tumor specimens were included. Medical records and pathology reports were reviewed. Tumor specimens were reexamined to confirm the diagnosis, recalculate the Ki-67 index, and assess the presence of an SGP, introducing an SGP score from 0 to 3+.Results: The current grading system with a G1/G2 cutoff of 2% was more discriminative (HR 2.30; 95% CI 1.20-4.38, p = 0.012) than one with a lower cutoff of 1% (HR 1.65; 95% CI 0.95-2.87, p = 0.078) after adjustment for patient age and clinical stage. SGP score was strongly associated with clinical stage (p = 0.004) and histopathological grade (p < 0.001) but was not an independent prognostic factor for disease-specific survival in SI-NET (p = 0.122) after adjusting for age, stage, and grade.Conclusions: The present grading system of SI-NET is supported by our results. The SGP is not an independent prognostic factor for disease-specific survival in SI-NET.
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