| 1. |
- Bergman-Larsson, Julia, et al.
(författare)
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Combined expression of HOXA11 and CD10 identifies endometriosis versus normal tissue and tumors
- 2022
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Ingår i: Annals of Diagnostic Pathology. - : Elsevier. - 1092-9134 .- 1532-8198. ; 56
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Tidskriftsartikel (refereegranskat)abstract
- The gold standard for diagnosing endometriosis is by laparoscopic visual demonstration of ectopic endometrial lesions outside the uterus, preferably verified by biopsy and microscopical examination. Molecular markers to facilitate the microscopical diagnosis of endometriosis and for distinguishing endometriosis from other benign and malignant lesions are lacking. Our aim was to test and validate an immunohistochemical antibody panel for improved diagnostic accuracy of endometriosis. Both CD10 and HOXA11 have been implicated in regulation of endometrial homeostasis. Here we have analyzed the expression pattern of these two proteins using immunohistochemistry on human tissues in a tissue microarray format. CD10 and HOXA11 expression in endometriosis lesions were compared to expression patterns in a range of normal tissues and in primary- and metastatic lesions of endometrial-, cervical- and ovarian cancer. HOXA11 and CD10 were expressed in 98% and 91% of endometriosis lesions and the combined double-positive expression profile of both HOXA11 and CD10 was highly sensitive for ectopic endometrial tissue (90%). The specificity and sensitivity for this double-positive signature in endometriosis was significantly different from all investigated tissues, cancers and metastases except normal, eutopic endometrial- and cervical mucosa. The combination of HOXA11 and CD10 expression profiles provides a useful tool to identify ectopic endometrial tissue and for distinguishing endometriosis from various types of gynecological malignancies and metastases.
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| 2. |
- Haider, Jutta, et al.
(författare)
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Transformation or Continuity? The Impact of Social Media on Information : Implications for Theory and Practice
- 2012
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Ingår i: Proceedings of the 75th ASIS&T Annual Meeting: Information, Interaction, Innovation, vol. 49. - Silver Springs, MD : American Society for Information Science and Technology. ; 49:1
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Konferensbidrag (refereegranskat)abstract
- This panel debates whether the ways in which social media are changing the nature, creation, seeking, use and sharing of information constitute a transformation or are primarily marked by continuity. Ubiquitous and everyday access to social media (for some) seems to be bringing about changes in social practice, including of information-related activities, such that conceptualisations of information itself are potentially reshaped. Discussants draw inspiration from the pervasive impact on information activities of the everyday adoption of social media. At a theoretical level they also draw inspiration from the analytic resources of contemporary practice theory and its emphasis on materiality and embodiment, routine and change, social expectations and social identity, and knowledge as a process. All the participants of the panel have conducted new empirical research on social media use with a focus on its deep as well as broad impact. The audience members are invited to discuss with the panelists questions such as how social media relate to routinised daily practices and institutionalised practices and hierarchies, how their use refashions social relationships, how they turn information seekers and users into information managers, producers and creators and shape perceptions of information authority and trustworthiness, and how a new theorisation can help librarians, information professionals and researchers understand change and assume a proactive role in it.
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| 3. |
- Huvila, Isto, Professor, 1976-, et al.
(författare)
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Managing Information Gaps and Non‐Information
- 2023
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Ingår i: Proceedings of the Association for Information Science and Technology. - : John Wiley & Sons. - 2373-9231. ; 60:1, s. 793-798
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Tidskriftsartikel (refereegranskat)abstract
- While the focus of information science and technology research is in information, sometimes the lack of information, information gaps and non-information can make an equally great or even greater difference. The purpose of this panel is to nuance the understanding of the absence of information and addressing the gap in theorising, investigating and working with information gaps and ‘non-information’ across the information field. Panellists present research conceptualising, documenting, and describing information gaps and non-information and how they are dealt with in the information field specifically addressing: 1) how conceptualisations of information gaps and non-information influence how they emerge as describable entities; 2) what approaches to manage information gaps and non-information exist in information science and technology research; 3) what aspects of information gaps and non-information different approaches address, make visible and invisible; and 4) how novel insights from the current state-of-the-art research can be translated to practice, policies and actions.
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| 4. |
- Huvila, Jutta, et al.
(författare)
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Progesterone receptor negativity is an independent risk factor for relapse in patients with early stage endometrioid endometrial adenocarcinoma
- 2013
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Ingår i: Gynecologic Oncology. - : Elsevier BV. - 0090-8258 .- 1095-6859. ; 130:3, s. 463-469
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Tidskriftsartikel (refereegranskat)abstract
- Objective. In endometrioid endometrial adenocarcinoma (EEA), the currently established prognostic factors in clinical guidelines are stage and grade. Many guidelines include lymphovascular invasion (LVI) and tumor size as prognostic factors. Although several studies have associated lack of estrogen (ER) and progesterone receptor (PR) expression with reduced outcome, the prognostic use of these markers is uncommon. Better prognostication of clinical behavior would be useful in patients with early stage (I-II) disease. In this study we evaluated ER and PR as prognostic factors in EEA, and compared their expression with other potential biomarkers and clinical parameters. Methods. Tissue microarrays were constructed from 182 patients with stages I-II EEA. ER, PR, p53, Ki-67, PTEN, MLH and HER-2 expression were assessed by immunohistochemical staining and HER-2 was confirrried with SISH. The results were correlated with clinicopathologic parameters and to disease-free survival. Results. Eleven patients (6%) developed recurrent disease during a median follow up time of 62.8 months. In univariate analysis FIGO grade (p = 0.019), positive expression of p53 (p = 0.010) and negative PR expression (p = 0.001) were associated with a shorter disease-free survival. In multivariate analysis only negative PR expression (p = 0.019) was significantly associated with a shorter disease-free survival. LVI and tumor size where not of prognostic value. Conclusions. Lack of PR expression is a strong, independent risk factor for tumor recurrence in patients with stages I-II endometrioid endometrial cancer. The use of this easily measurable biomarker as a prognostic factor in the clinical context should be considered and tested in a larger patient population.
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| 5. |
- Mezheyeuski, Artur, et al.
(författare)
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An immune score reflecting pro- and anti-tumoural balance of tumour microenvironment has major prognostic impact and predicts immunotherapy response in solid cancers
- 2023
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Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 88
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Tidskriftsartikel (refereegranskat)abstract
- Background: Cancer immunity is based on the interaction of a multitude of cells in the spatial context of the tumour tissue. Clinically relevant immune signatures are therefore anticipated to fundamentally improve the accuracy in predicting disease progression.Methods: Through a multiplex in situ analysis we evaluated 15 immune cell classes in 1481 tumour samples. Single-cell and bulk RNAseq data sets were used for functional analysis and validation of prognostic and predictive associations.Findings: By combining the prognostic information of anti-tumoural CD8+ lymphocytes and tumour supportive CD68+CD163+ macrophages in colorectal cancer we generated a signature of immune activation (SIA). The prognostic impact of SIA was independent of conventional parameters and comparable with the state-of-art immune score. The SIA was also associated with patient survival in oesophageal adenocarcinoma, bladder cancer, lung adenocarcinoma and melanoma, but not in endometrial, ovarian and squamous cell lung carcinoma. We identified CD68+CD163+ macrophages as the major producers of complement C1q, which could serve as a surrogate marker of this macrophage subset. Consequently, the RNA-based version of SIA (ratio of CD8A to C1QA) was predictive for survival in independent RNAseq data sets from these six cancer types. Finally, the CD8A/C1QA mRNA ratio was also predictive for the response to checkpoint inhibitor therapy.Interpretation: Our findings extend current concepts to procure prognostic information from the tumour immune microenvironment and provide an immune activation signature with high clinical potential in common human cancer types.
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| 6. |
- Mezheyeuski, Artur, et al.
(författare)
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The ratio of CD8+ lymphocytes to CD68+CD163+ macrophages is prognostic in immunogenic tumors and predicts immunotherapy response
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Immune cells in the microenvironment shape tumor development and progression. Through in situ analyses we assessed 15 immune cell classes in 352 colorectal cancers and identified a simpleprognostic signature based on the ratio of anti-tumoral CD8+ lymphocytes to tumor-supportiveCD68+CD163+ macrophages in the tumor microenvironment. The prognostic ability of this signature was superior to the state-of-art immune score and was also demonstrated in four other tumor types. Single-cell analyses identified these CD68+CD163+ macrophages as the source of complement C1q, and the ratio of CD8A to C1QA gene expression levels in bulk RNA predicted survival in five tumor types. In single cell analyses, RNA-based versions of the signature also predicted response to checkpoint inhibitor therapy. This supports broad clinical applicability of immune scores considering CD68+CD163+ macrophages as prognostic and predictive biomarkers in common cancers.
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| 7. |
- Micke, Patrick, et al.
(författare)
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The prognostic impact of the tumour stroma fraction : A machine learning-based analysis in 16 human solid tumour types
- 2021
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Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 65
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Tidskriftsartikel (refereegranskat)abstract
- Background: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed.Methods: Using an objective machine-learning method we quantified the tumour stroma in 16 solid cancer types from 2732 patients, representing retrospective tissue collections of surgically resected primary tumours. Image analysis performed tissue segmentation into stromal and epithelial compartment based on pan-cytokeratin staining and autofluorescence patterns.Findings: The stroma fraction was highly variable within and across the tumour types, with kidney cancer showing the lowest and pancreato-biliary type periampullary cancer showing the highest stroma proportion (median 19% and 73% respectively). Adjusted Cox regression models revealed both positive (pancreato-biliary type periampullary cancer and oestrogen negative breast cancer, HR(95%CI)=0.56(0.34-0.92) and HR (95%CI)=0.41(0.17-0.98) respectively) and negative (intestinal type periampullary cancer, HR(95%CI)=3.59 (1.49-8.62)) associations of the tumour stroma fraction with survival.Interpretation: Our study provides an objective quantification of the tumour stroma fraction across major types of solid cancer. Findings strongly argue against the commonly promoted view of a general associations between high stroma abundance and poor prognosis. The results also suggest that full exploitation of the prognostic potential of tumour stroma requires analyses that go beyond determination of stroma abundance.
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