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  • Dum, D  (3)
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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  American Journal of Clinical Pathology Vol. 156, No. Supplement_1 ( 2021-10-28), p. S109-S109
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 156, No. Supplement_1 ( 2021-10-28), p. S109-S109
    Abstract: Introduction: Special AT-rich sequence-binding protein 2 (SATB2) binds to DNA in specific nuclear matrix attachment regions and facilitates chromatin remodeling. SATB2 immunostaining is commonly used as a marker for colorectal adenocarcinoma and osteosarcoma. Methods/Case Report Methods: To comprehensively evaluate SATB2 expression in normal and tumor tissues, a tissue microarray containing 15,012 samples from 120 different tumor types and subtypes and 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry. Results (if a Case Study enter NA) Result: SATB2 positivity was found in 89 different tumor types including 59 with at least one moderately positive and 38 tumor types with at least one strongly positive tumor. Most frequent and strongest expression were found in adenomas (94-96%), adenocarcinomas (86%) and various subtypes of neuroendocrine neoplasms (43-100%) of the colorectum and appendix, Merkel cell carcinoma (74%), osteosarcomas (60%), and papillary renal cell carcinoma (RCC) (52%). In colorectal cancer, weak SATB2 expression was linked to high pT (p & lt;0.0001), nodal metastasis (p & lt;0.0001), right-sided tumor location (p & lt;0.0001), microsatellite instability (p=0.0004), and BRAF mutations (p & lt;0.0224). In papillary RCC, low SATB2 was associated with high pT (p=0.0197), distant metastasis (p=0.042), and reduced tumor specific survival (p=0.0395). In clear cell RCC, low SATB2 was linked to high pT (p & lt;0.0001), high UICC stage (p & lt;0.0001), high Thoenes grade (p=0.0178), and reduced recurrence free survival (p=0.0216). Conclusion SATB2 expression can occur in many different tumor entities. Strong SATB2 expression argues for a colorectal tumor origin within adenocarcinomas and neuroendocrine neoplasms. Weak SATB2 expression reflects cancer progression and poor prognosis in colorectal and kidney cancer.
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2039921-2
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  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  American Journal of Clinical Pathology Vol. 156, No. Supplement_1 ( 2021-10-28), p. S109-S109
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 156, No. Supplement_1 ( 2021-10-28), p. S109-S109
    Abstract: Uroplakin 1B (Upk1b) protein is relevant for stabilizing and strengthening epithelial cells that line the bladder. It helps to prevent urothelial cells from rupturing during bladder distension. Based on RNA expression studies Upk1b is expressed in a limited number of normal tissues. Methods/Case Report To comprehensively evaluate the potential diagnostic and prognostic utility of Upk1b expression analysis, a tissue microarray containing 15,182 samples from 127 different tumor types and subtypes and 608 samples of 76 different normal tissue types was analyzed by immunohistochemistry. Results (if a Case Study enter NA) Upk1b positivity was found in 61 (48%) different tumor types including 50 (39%) with at least one moderately positive and 39 tumor types (31%) with at least one strongly positive tumor. The highest positivity rate and the highest levels of expression was found in urothelial neoplasms (58-95%), Brenner tumors of the ovary (92%), epitheloid mesothelioma (87%), serous carcinomas of the ovary (58%) and the endometrium (53%) as well as squamous cell carcinomas of various sites of origin. Immunostaining was infrequent in lung adenocarcinoma (0%) and largely absent in colorectal (0.7%) or prostatic adenocarcinoma (1.3%). In urothelial tumors cancer, low Upk1b expression was linked to high grade and invasive tumor growth (p & lt;0.0001 each) as well as nodal metastasis (p=0.0006) but an unequivocal link to unfavorable tumor features was lacking in various other tumor entities. Conclusion In conclusion, the differential Upk1b expression in different tumor entities suggests potential diagnostic applications of Upk1b immunohistochemistry in panels for the distinction of malignant mesothelioma from adenocarcinoma of the lung, urothelial carcinoma from prostatic adenocarcinoma in the bladder, or pancreatico-biliary and gastro-esophageal from colorectal adenocarcinomas.
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2039921-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  American Journal of Clinical Pathology Vol. 156, No. Supplement_1 ( 2021-10-28), p. S137-S138
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 156, No. Supplement_1 ( 2021-10-28), p. S137-S138
    Abstract: Introduction: CTLA-4 is an inhibitory immune checkpoint receptor and a negative regulator of anti-tumor T-cell function. This study aimed at a comparative analysis of CTLA-4+ entities. cells between different tumor Methods/Case Report Methods: To quantify CTLA-4+ cells, 4,582 tumor samples from 90 different tumor entities as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry in a tissue microarray format. Two different antibody clones (MSVA-152R and CAL49) were validated and quantified using a deep learning framework for automated exclusion of unspecific immunostaining. Results (if a Case Study enter NA) Results: Comparing both CTLA-4 antibodies revealed a clone dependent unspecific staining pattern in adrenal cortical adenoma (63%) for MSVA-152R and in pheochromocytoma (67%) as well as hepatocellular carcinoma (36%) for CAL49. After automated exclusion of non-specific staining reaction (3.6%), a strong correlation was observed for the densities of CTLA-4+ lymphocytes obtained by both antibodies (r=0.87; p & lt;0.0001). The mean density of CTLA-4+cells was 674±1482 cells/ mm2 and ranged from 71±175 cells/mm2 in leiomyoma to 5916±3826 cells/mm2 in Hodgkin’s lymphoma. Within epithelial tumors, the density of CTLA-4+ lymphocytes were higher in squamous cell (421±467 cells/ mm2) and urothelial carcinomas (419±347 cells/ mm2) than in adenocarcinomas (269±375 cells/ mm2) and renal cell neoplasms (256±269 cells/ mm2). A high CTLA-4+ cell density was linked to low pT category (p & lt;0.0001), absent lymph node metastases (p=0.0354), and PD-L1 expression in tumor cells or inflammatory cells (p & lt;0.0001 each). A high CTLA-4/CD3-ratio was linked to absent lymph node metastases (p=0.0295) and to PD-L1 positivity on immune cells (p & lt;0.0026). Conclusion Marked differences exist in the number of CTLA-4+ lymphocytes between tumors. Analyzing two independent antibodies by a deep learning framework can facilitate automated quantification of immunohistochemically analyzed target proteins such as CTLA-4.
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2039921-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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