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  1. Article ; Online: Neuroendocrine tumor G3 of bronchopulmonary origin and its classification.

    Kasajima, Atsuko / Klöppel, Günter

    Pathology international

    2022  Volume 72, Issue 10, Page(s) 488–495

    Abstract: Neuroendocrine tumors (NET) with high proliferative activity (Ki-67 index >20% and/or mitotic counts >2 ... ...

    Abstract Neuroendocrine tumors (NET) with high proliferative activity (Ki-67 index >20% and/or mitotic counts >2 mm
    MeSH term(s) Bronchi ; Carcinoid Tumor ; Carcinoma, Neuroendocrine ; Humans ; Ki-67 Antigen ; Neuroendocrine Tumors ; Pancreatic Neoplasms ; Receptor Protein-Tyrosine Kinases
    Chemical Substances Ki-67 Antigen ; Receptor Protein-Tyrosine Kinases (EC 2.7.10.1)
    Language English
    Publishing date 2022-08-19
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 1194850-4
    ISSN 1440-1827 ; 1320-5463
    ISSN (online) 1440-1827
    ISSN 1320-5463
    DOI 10.1111/pin.13266
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A pediatric case of Cogan's syndrome with tubulointerstitial nephritis and vasculitis: lessons for the clinical nephrologist.

    Kumagai, Naonori / Oikawa, Yoshitsugu / Nakayama, Makiko / Kasajima, Atsuko / Joh, Kensuke

    Journal of nephrology

    2024  

    Language English
    Publishing date 2024-03-21
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1093991-x
    ISSN 1724-6059 ; 1120-3625 ; 1121-8428
    ISSN (online) 1724-6059
    ISSN 1120-3625 ; 1121-8428
    DOI 10.1007/s40620-024-01898-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Meta-analysis of reported presacral myelolipomas, including a report of a new case.

    Xu, Congde / Kasajima, Atsuko / Novotny, Alexander / Friess, Helmut

    Journal of medical case reports

    2023  Volume 17, Issue 1, Page(s) 31

    Abstract: Background: Presacral myelolipomas form a rare disease and are often found incidentally in imaging diagnostics.: Case presentation: In this study, we report the case of a 71-year-old caucasian female with an incidental finding of a retroperitoneal ... ...

    Abstract Background: Presacral myelolipomas form a rare disease and are often found incidentally in imaging diagnostics.
    Case presentation: In this study, we report the case of a 71-year-old caucasian female with an incidental finding of a retroperitoneal tumor on magnetic resonance imaging scan. This report aimed at presenting the clinical course of this patient with emphasis on analysis of pathological, clinical, and epidemiological features in a meta-analysis of reported cases.
    Conclusion: Presacral myelolipomas are rare and its etiology remains unclear. Surgical resection is indicated in symptomatic lesions and lesions > 4 cm. More clinical and pathological research on this rare entity is warranted.
    MeSH term(s) Humans ; Female ; Aged ; Myelolipoma ; Rare Diseases ; Retroperitoneal Neoplasms ; White People ; Adrenal Gland Neoplasms
    Language English
    Publishing date 2023-02-01
    Publishing country England
    Document type Case Reports ; Meta-Analysis ; Journal Article
    ZDB-ID 2269805-X
    ISSN 1752-1947 ; 1752-1947
    ISSN (online) 1752-1947
    ISSN 1752-1947
    DOI 10.1186/s13256-022-03746-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Neuroendocrine neoplasms of lung, pancreas and gut: a morphology-based comparison.

    Kasajima, Atsuko / Klöppel, Günter

    Endocrine-related cancer

    2020  Volume 27, Issue 11, Page(s) R417–R432

    Abstract: The bronchopulmonary (BP) and gastroenteropancreatic (GEP) organ systems harbor the majority of the neuroendocrine neoplasms (NENs) of the body, comprising 20 and 70% of all NENs, respectively. Common to both NEN groups is a classification distinguishing ...

    Abstract The bronchopulmonary (BP) and gastroenteropancreatic (GEP) organ systems harbor the majority of the neuroendocrine neoplasms (NENs) of the body, comprising 20 and 70% of all NENs, respectively. Common to both NEN groups is a classification distinguishing between well- and poorly differentiated NENs associated with distinct genetic profiles. Differences between the two groups concern the reciprocal prevalence of well and poorly differentiated neoplasms, the application of a Ki67-based grading, the variety of histological patterns, the diversity of hormone expression and associated syndromes, the variable involvement in hereditary tumor syndromes, and the peculiarities of genetic changes. This review focuses on a detailed comparison of BP-NENs with GEP-NENs with the aim of highlighting and discussing the most obvious differences. Despite obvious differences, the principle therapeutical options are still the same for both NEN groups, but with further progress in genetics, more targeted therapy strategies can be expected in future.
    MeSH term(s) Humans ; Lung Neoplasms/epidemiology ; Lung Neoplasms/physiopathology ; Neuroendocrine Tumors/epidemiology ; Neuroendocrine Tumors/physiopathology ; Pancreatic Neoplasms/epidemiology ; Pancreatic Neoplasms/physiopathology ; Stomach Neoplasms/epidemiology ; Stomach Neoplasms/physiopathology
    Language English
    Publishing date 2020-10-05
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1218450-0
    ISSN 1479-6821 ; 1351-0088
    ISSN (online) 1479-6821
    ISSN 1351-0088
    DOI 10.1530/ERC-20-0122
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Neuroendocrine neoplasms of the pancreas: diagnosis and pitfalls.

    Konukiewitz, Björn / Jesinghaus, Moritz / Kasajima, Atsuko / Klöppel, Günter

    Virchows Archiv : an international journal of pathology

    2021  Volume 480, Issue 2, Page(s) 247–257

    Abstract: Common to neuroendocrine neoplasms of the pancreas is their expression of synaptophysin, chromogranin A, and/or INSM1. They differ, however, in their histological differentiation and molecular profile. Three groups can be distinguished: well- ... ...

    Abstract Common to neuroendocrine neoplasms of the pancreas is their expression of synaptophysin, chromogranin A, and/or INSM1. They differ, however, in their histological differentiation and molecular profile. Three groups can be distinguished: well-differentiated neuroendocrine neoplasms (neuroendocrine tumors), poorly differentiated neuroendocrine neoplasms (neuroendocrine carcinomas), and mixed neuroendocrine-non-neuroendocrine neoplasms. However, the expression of synaptophysin and, to a lesser extent, also chromogranin A is not restricted to the neuroendocrine neoplasms, but may also be in a subset of non-neuroendocrine epithelial and non-epithelial neoplasms. This review provides the essential criteria for the diagnosis of pancreatic neuroendocrine neoplasms including diagnostic clues for the distinction of high-grade neuroendocrine tumors from neuroendocrine carcinomas and an algorithm avoiding diagnostic pitfalls in the delineation of non-neuroendocrine neoplasms with neuroendocrine features from pancreatic neuroendocrine neoplasms.
    MeSH term(s) Biomarkers, Tumor/metabolism ; Carcinoma, Neuroendocrine/diagnosis ; Carcinoma, Neuroendocrine/pathology ; Chromogranin A ; Humans ; Immunohistochemistry ; Neuroendocrine Tumors/pathology ; Pancreas/metabolism ; Pancreas/pathology ; Pancreatic Neoplasms/diagnosis ; Repressor Proteins/metabolism ; Synaptophysin/metabolism
    Chemical Substances Biomarkers, Tumor ; Chromogranin A ; Repressor Proteins ; Synaptophysin ; INSM1 protein, human (147955-03-1)
    Language English
    Publishing date 2021-10-13
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1184867-4
    ISSN 1432-2307 ; 0945-6317
    ISSN (online) 1432-2307
    ISSN 0945-6317
    DOI 10.1007/s00428-021-03211-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Fractal analysis of extracellular matrix for observer-independent quantification of intestinal fibrosis in Crohn's disease.

    Weber, Marie-Christin / Schmidt, Konstantin / Buck, Annalisa / Kasajima, Atsuko / Becker, Simon / Li, Chunqiao / Reischl, Stefan / Wilhelm, Dirk / Steiger, Katja / Friess, Helmut / Neumann, Philipp-Alexander

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3988

    Abstract: Prevention of intestinal fibrosis remains an unresolved problem in the treatment of Crohn's disease (CD), as specific antifibrotic therapies are not yet available. Appropriate analysis of fibrosis severity is essential for assessing the therapeutic ... ...

    Abstract Prevention of intestinal fibrosis remains an unresolved problem in the treatment of Crohn's disease (CD), as specific antifibrotic therapies are not yet available. Appropriate analysis of fibrosis severity is essential for assessing the therapeutic efficacy of potential antifibrotic drugs. The aim of this study was to develop an observer-independent method to quantify intestinal fibrosis in surgical specimens from patients with CD using structural analysis of the extracellular matrix (ECM). We performed fractal analysis in fibrotic and control histological sections of patients with surgery for CD (n = 28). To specifically assess the structure of the collagen matrix, polarized light microscopy was used. A score to quantify collagen fiber alignment and the color of the polarized light was established. Fractal dimension as a measure for the structural complexity correlated significantly with the histological fibrosis score whereas lacunarity as a measure for the compactness of the ECM showed a negative correlation. Polarized light microscopy to visualize the collagen network underlined the structural changes in the ECM network in advanced fibrosis. In conclusion, observer-independent quantification of the structural complexity of the ECM by fractal analysis is a suitable method to quantify the degree of intestinal fibrosis in histological samples from patients with CD.
    MeSH term(s) Humans ; Crohn Disease/pathology ; Fractals ; Extracellular Matrix/pathology ; Collagen/therapeutic use ; Fibrosis
    Chemical Substances Collagen (9007-34-5)
    Language English
    Publishing date 2024-02-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-54545-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Head and neck cancer of unknown primary: unveiling primary tumor sites through machine learning on DNA methylation profiles.

    Stark, Leonhard / Kasajima, Atsuko / Stögbauer, Fabian / Schmidl, Benedikt / Rinecker, Jakob / Holzmann, Katharina / Färber, Sarah / Pfarr, Nicole / Steiger, Katja / Wollenberg, Barbara / Ruland, Jürgen / Winter, Christof / Wirth, Markus

    Clinical epigenetics

    2024  Volume 16, Issue 1, Page(s) 47

    Abstract: Background: The unknown tissue of origin in head and neck cancer of unknown primary (hnCUP) leads to invasive diagnostic procedures and unspecific and potentially inefficient treatment options for patients. The most common histologic subtype, squamous ... ...

    Abstract Background: The unknown tissue of origin in head and neck cancer of unknown primary (hnCUP) leads to invasive diagnostic procedures and unspecific and potentially inefficient treatment options for patients. The most common histologic subtype, squamous cell carcinoma, can stem from various tumor primary sites, including the oral cavity, oropharynx, larynx, head and neck skin, lungs, and esophagus. DNA methylation profiles are highly tissue-specific and have been successfully used to classify tissue origin. We therefore developed a support vector machine (SVM) classifier trained with publicly available DNA methylation profiles of commonly cervically metastasizing squamous cell carcinomas (n = 1103) in order to identify the primary tissue of origin of our own cohort of squamous cell hnCUP patient's samples (n = 28). Methylation analysis was performed with Infinium MethylationEPIC v1.0 BeadChip by Illumina.
    Results: The SVM algorithm achieved the highest overall accuracy of tested classifiers, with 87%. Squamous cell hnCUP samples on DNA methylation level resembled squamous cell carcinomas commonly metastasizing into cervical lymph nodes. The most frequently predicted cancer localization was the oral cavity in 11 cases (39%), followed by the oropharynx and larynx (both 7, 25%), skin (2, 7%), and esophagus (1, 4%). These frequencies concord with the expected distribution of lymph node metastases in epidemiological studies.
    Conclusions: On DNA methylation level, hnCUP is comparable to primary tumor tissue cancer types that commonly metastasize to cervical lymph nodes. Our SVM-based classifier can accurately predict these cancers' tissues of origin and could significantly reduce the invasiveness of hnCUP diagnostics and enable a more precise therapy after clinical validation.
    MeSH term(s) Humans ; DNA Methylation ; Neoplasms, Unknown Primary/diagnosis ; Neoplasms, Unknown Primary/genetics ; Neoplasms, Unknown Primary/pathology ; Head and Neck Neoplasms/diagnosis ; Head and Neck Neoplasms/genetics ; Carcinoma, Squamous Cell/diagnosis ; Carcinoma, Squamous Cell/genetics ; Carcinoma, Squamous Cell/pathology ; Machine Learning
    Language English
    Publishing date 2024-03-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2553921-8
    ISSN 1868-7083 ; 1868-7075
    ISSN (online) 1868-7083
    ISSN 1868-7075
    DOI 10.1186/s13148-024-01657-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Das duktale Adenokarzinom des Pankreas: Subtypen und Molekularpathologie.

    Schlitter, Anna Melissa / Konukiewitz, Björn / Kasajima, Atsuko / Reichert, Maximilian / Klöppel, Günter

    Der Pathologe

    2021  Volume 42, Issue 5, Page(s) 464–471

    Abstract: Ductal adenocarcinoma is the most common tumor of the pancreas. Although relatively rare, it poses one of the greatest oncological challenges because of its poor prognosis, which has so far only slightly improved. Progress has been made in the more ... ...

    Title translation Ductal adenocarcinoma of the pancreas: subtypes and molecular pathology.
    Abstract Ductal adenocarcinoma is the most common tumor of the pancreas. Although relatively rare, it poses one of the greatest oncological challenges because of its poor prognosis, which has so far only slightly improved. Progress has been made in the more precise classification and standardization of the morphological assessment. In the current WHO classification, prognostically relevant subtypes are clearly delimited among themselves and from ductal adenocarcinoma not otherwise specified (NOS). In the recent TNM classification, a size-based T‑category was introduced. Diagnostically, the histological assessment of the resection specimen is relatively easy; on the other hand, assessment of the fine-needle biopsy from the primary tumor or a liver metastasis is still difficult. The molecular stratification of ductal adenocarcinoma and the other pancreatic neoplasms has made great progress. This not only defined the genetics of tumor entities, but also identified the prognosis and biology of tumor groups on the basis of RNA expression patterns. The range of treatment could be expanded by targeted molecular therapies (especially for patients with BRCA1/2 germline mutations, NTRK- or NRG1-fusions, or oncogenic BRAF and PIK3CA mutations as well as tumors with microsatellite instability (MSI)), even if targeted therapies are currently only available for a minority of patients (<10%).
    MeSH term(s) Breast Neoplasms ; Carcinoma, Pancreatic Ductal/genetics ; Female ; Humans ; Pancreas ; Pancreatic Neoplasms/genetics ; Pathology, Molecular ; Prognosis
    Language German
    Publishing date 2021-08-17
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 135954-x
    ISSN 1432-1963 ; 0172-8113
    ISSN (online) 1432-1963
    ISSN 0172-8113
    DOI 10.1007/s00292-021-00965-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: An analysis of 130 neuroendocrine tumors G3 regarding prevalence, origin, metastasis, and diagnostic features.

    Kasajima, Atsuko / Konukiewitz, Björn / Schlitter, Anna Melissa / Weichert, Wilko / Klöppel, Günter

    Virchows Archiv : an international journal of pathology

    2021  Volume 480, Issue 2, Page(s) 359–368

    Abstract: Limited data exist on high-grade neuroendocrine tumors (NETs G3) which represent a new category among neuroendocrine neoplasms (NEN). We analyzed NETs G3 in a consultation series regarding prevalence, origin, metastasis, and diagnostic problems. Based on ...

    Abstract Limited data exist on high-grade neuroendocrine tumors (NETs G3) which represent a new category among neuroendocrine neoplasms (NEN). We analyzed NETs G3 in a consultation series regarding prevalence, origin, metastasis, and diagnostic problems. Based on the WHO classification of digestive system tumors, 130 NETs G3 (9%) were identified in 1513 NENs. NET G3 samples were more often obtained from metastatic sites (69%) than NET G1/G2 samples (24%). NET G3 metastases presented most frequently in the liver (74%) and originated from the pancreas (38/90, 42%), followed by the lung (9%), ileum (7%), stomach (3%), rectum (1%), and rare sites (2%) such as the prostate and breast. The primaries remained unknown in 15%. NETs G3 had a median Ki67 of 30% that distinguished them from NECs (60%), though with great overlap. The expression of site-specific markers, p53, Rb1, and SST2 was similar in NETs G3 and NETs G1/G2, except for p53 and Rb1 which were abnormally expressed in 8% and 7% of liver metastases from NET G3 but not from NET G1/G2. NETs G3 were frequently referred as NECs (39%) but could be well distinguished from NECs by normal p53 (92% versus 21%) and Rb1 expression (93% versus 41%) expression. In conclusion, NETs G3 are frequently discovered as liver metastases from pancreatic or pulmonary primaries and are often misinterpreted as NEC. p53 and Rb1 are powerful markers in the distinction of NET G3 from NEC. Rarely, carcinomas from non-digestive, non-pulmonary organs with neuroendocrine features may present as NET G3.
    MeSH term(s) Carcinoma, Neuroendocrine/pathology ; Humans ; Infant, Newborn ; Liver Neoplasms/diagnosis ; Male ; Neuroendocrine Tumors/pathology ; Pancreatic Neoplasms/pathology ; Prevalence ; Tumor Suppressor Protein p53
    Chemical Substances Tumor Suppressor Protein p53
    Language English
    Publishing date 2021-09-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1184867-4
    ISSN 1432-2307 ; 0945-6317
    ISSN (online) 1432-2307
    ISSN 0945-6317
    DOI 10.1007/s00428-021-03202-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Conference proceedings: Evaluation of the clinical utility of Hsp70-based intraoperative fluorescence imaging of head and neck cancer

    Wirth, Markus / Holzmann, Katharina / Kasajima, Atsuko / Mogler, Carolin / Jira, Daniel / Stangl, Stefan / Wollenberg, Barbara / Multhoff, Gabriele

    Laryngo-Rhino-Otologie

    2023  Volume 102, Issue S 02

    Event/congress 94th Annual Meeting German Society of Oto-Rhino-Laryngology, Head and Neck Surgery e.V., Bonn, Congress Center Leipzig, 2023-05-17
    Language English
    Publishing date 2023-05-01
    Publisher Georg Thieme Verlag
    Publishing place Stuttgart ; New York
    Document type Article ; Conference proceedings
    ZDB-ID 96005-6
    ISSN 1438-8685 ; 0935-8943 ; 0340-1588
    ISSN (online) 1438-8685
    ISSN 0935-8943 ; 0340-1588
    DOI 10.1055/s-0043-1767291
    Database Thieme publisher's database

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