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Dive into the research topics where Henrik Johannesson is active.

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Featured researches published by Henrik Johannesson.


Diagnostic Pathology | 2012

Molecular correlates and prognostic significance of SATB1 expression in colorectal cancer

Björn Nodin; Henrik Johannesson; Sakarias Wangefjord; Darran P. O’Connor; Kajsa Ericson Lindquist; Mathias Uhlén; Karin Jirström; Jakob Eberhard

BackgroundSpecial AT-rich sequence-binding protein 1 (SATB1) is a global gene regulator that has been reported to confer malignant behavior and associate with poor prognosis in several cancer forms. SATB1 expression has been demonstrated to correlate with unfavourable tumour characteristics in rectal cancer, but its association with clinical outcome in colorectal cancer (CRC) remains unclear. In this study, we examined the prognostic impact of SATB1 expression in CRC, and its association with important molecular characteristics; i.e. beta-catenin overexpression, microsatellite instability (MSI) screening status, and SATB2 expression.MethodsImmunohistochemical expression of SATB1 and beta-catenin was assessed in tissue microarrays with tumours from 529 incident CRC cases in the prospective population-based Malmö Diet and Cancer Study, previously analysed for SATB2 expression and MSI screening status. Spearmans Rho and Chi-Square tests were used to explore correlations between SATB1 expression, clinicopathological and investigative parameters. Kaplan Meier analysis and Cox proportional hazards modelling were used to explore the impact of SATB1 expression on cancer specific survival (CSS) and overall survival (OS).ResultsSATB1 was expressed in 222 (42%) CRC cases and negative, or sparsely expressed, in adjacent colorectal mucosa (n = 16). SATB1 expression was significantly associated with microsatellite stable tumours (p < 0.001), beta-catenin overexpression (p < 0.001) and SATB2 expression (p < 0.001). While not prognostic in the full cohort, SATB1 expression was significantly associated with poor prognosis in SATB2 negative tumours (HR = 2.63; 95% CI 1.46-4.71; pinteraction = 0.011 for CSS and HR = 2.31; 95% CI 1.32-4.04; pinteraction = 0.015 for OS), remaining significant in multivariable analysis.ConclusionsThe results of this study demonstrate that SATB1 expression in CRC is significantly associated with beta-catenin overexpression, microsatellite stability and SATB2 expression. Furthermore, SATB1 expression is a factor of poor prognosis in SATB2 negative tumours. Altogether, these data indicate an important role for SATB1 in colorectal carcinogenesis and suggest prognostically antagonistic effects of SATB1 and SATB2. The mechanistic basis for these observations warrants further study.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1922643082772076


British Journal of Cancer | 2013

Membranous expression of podocalyxin-like protein is an independent factor of poor prognosis in urothelial bladder cancer

Anna Larsson; Ulrika Segersten; Eugenia Kuteeva; Henrik Johannesson; Björn Nodin; Jakob Eberhard; Mathias Uhlén; P-U Malmström; Karin Jirström

Background:Membranous expression of the anti-adhesive glycoprotein podocalyxin-like (PODXL) has previously been found to correlate with poor prognosis in several major cancer forms. Here we examined the prognostic impact of PODXL expression in urothelial bladder cancer.Methods:Immunohistochemical PODXL expression was examined in tissue microarrays with tumours from two independent cohorts of patients with urothelial bladder cancer: n=100 (Cohort I) and n=343 (Cohort II). The impact of PODXL expression on disease-specific survival (DSS; Cohort II), 5-year overall survival (OS; both cohorts) and 2-year progression-free survival (PFS; Cohort II) was assessed.Results:Membranous PODXL expression was significantly associated with more advanced tumour (T) stage and high-grade tumours in both cohorts, and a significantly reduced 5-year OS (unadjusted HR=2.25 in Cohort I and 3.10 in Cohort II, adjusted HR=2.05 in Cohort I and 2.18 in Cohort II) and DSS (unadjusted HR=4.36, adjusted HR=2.70). In patients with Ta and T1 tumours, membranous PODXL expression was an independent predictor of a reduced 2-year PFS (unadjusted HR=6.19, adjusted HR=4.60) and DSS (unadjusted HR=8.34, adjusted HR=7.16).Conclusion:Membranous PODXL expression is an independent risk factor for progressive disease and death in patients with urothelial bladder cancer.


Proteomics Clinical Applications | 2011

High nuclear RBM3 expression is associated with an improved prognosis in colorectal cancer

Barbara Hjelm; Donal J. Brennan; Nooreldin Zendehrokh; Jakob Eberhard; Björn Nodin; Alexander Gaber; Fredrik Pontén; Henrik Johannesson; Kristina Smaragdi; Christian Frantz; Sophia Hober; Louis Banka Johnson; Sven Påhlman; Karin Jirström; Mathias Uhlén

Purpose: In this study, we investigated the prognostic impact of human RBM3 expression in colorectal cancer using tissue microarray‐based immunohistochemical analysis.


New Biotechnology | 2010

Exploring epitopes of antibodies toward the human tryptophanyl-tRNA synthetase

Barbara Hjelm; Carmen Díez Fernández; John Löfblom; Stefan Ståhl; Henrik Johannesson; Johan Rockberg; Mathias Uhlén

There is a need to characterize the epitopes of affinity reagents to develop high quality affinity reagents for research, diagnostics and therapy. Here, we describe the analysis of epitopes of antibodies generated toward human tryptophanyl-tRNA synthetase (WARS) using both combinatorial bacterial display and suspension bead array. The bacterial display revealed that the polyclonal antibody binds to three separate epitopes and peptide scanning using 15-mers revealed binding to a 13 amino acid consensus sequence (ELINRIERATGQR). A mouse monoclonal antibody was generated and the mapping approach revealed binding toward a slightly shifted position of the same epitope. Structural analysis showed that the antibodies bind to alpha-helical regions on the surface of the target protein. An alanine-scanning experiment showed binding to four specific residues. The implications for the systematic analysis of antibody epitopes on the basis of these results are discussed.


Protein Science | 2011

Generation of monospecific antibodies based on affinity capture of polyclonal antibodies

Barbara Hjelm; Björn Forsström; Ulrika Igel; Henrik Johannesson; Charlotte Stadler; Emma Lundberg; Fredrik Pontén; Anna Sjöberg; Johan Rockberg; Jochen M. Schwenk; Peter Nilsson; Christine Johansson; Mathias Uhlén

A method is described to generate and validate antibodies based on mapping the linear epitopes of a polyclonal antibody followed by sequential epitope‐specific capture using synthetic peptides. Polyclonal antibodies directed towards four proteins RBM3, SATB2, ANLN, and CNDP1, potentially involved in human cancers, were selected and antibodies to several non‐overlapping epitopes were generated and subsequently validated by Western blot, immunohistochemistry, and immunofluorescence. For all four proteins, a dramatic difference in functionality could be observed for these monospecific antibodies directed to the different epitopes. In each case, at least one antibody was obtained with full functionality across all applications, while other epitope‐specific fractions showed no or little functionality. These results present a path forward to use the mapped binding sites of polyclonal antibodies to generate epitope‐specific antibodies, providing an attractive approach for large‐scale efforts to characterize the human proteome by antibodies.


Virchows Archiv | 2014

SATB1 is an independent prognostic factor in radically resected upper gastrointestinal tract adenocarcinoma

Charlotta Hedner; Alexander Gaber; Dejan Korkocic; Björn Nodin; Mathias Uhlén; Eugenia Kuteeva; Henrik Johannesson; Karin Jirström; Jakob Eberhard

Gastric cancer is the second most common cause of cancer-related death worldwide, and the incidence of esophageal adenocarcinoma is rising. While some progress has been made in treatment strategies, overall survival remains very poor for patients with adenocarcinoma in the upper gastrointestinal tract. Special AT-rich sequence binding protein 1 (SATB1) is a global genome organizer that has been demonstrated to promote aggressive tumor behavior in several different types of cancer, including gastric cancer. The prognostic value of SATB1 expression in esophageal cancer has, however, not yet been described. In this study, expression of SATB1 was examined by immunohistochemistry on tissue microarrays prepared from tissue samples from 175 patients with adenocarcinoma of the esophagus, cardia, or stomach and containing normal tissue, intestinal metaplasia, primary tumors, and metastases. A well-validated antibody was used. We found SATB1 to be an independent prognostic factor in patients with a radically resected tumor, correlating with shorter overall survival as well as with shorter recurrence-free survival. SATB1 expression was also found to be significantly lower in primary tumors associated with intestinal metaplasia than those without intestinal metaplasia. This observation is of potential biological interest as it has been proposed that intestinal metaplasia-associated tumors constitute a less aggressive phenotype.


Gynecologic Oncology | 2015

Loss of ASRGL1 expression is an independent biomarker for disease-specific survival in endometrioid endometrial carcinoma

Per-Henrik Edqvist; Jutta Huvila; Björn Forsström; Lauri Talve; Olli Carpén; Helga B. Salvesen; Camilla Krakstad; Seija Grénman; Henrik Johannesson; Oscar Ljungqvist; Mathias Uhlén; Fredrik Pontén; Annika Auranen

OBJECTIVE For endometrial carcinoma, prognostic stratification methods do not satisfactorily identify patients with adverse outcome. Currently, histology, tumor grade and stage are used to tailoring surgical treatment and to determine the need for adjuvant treatment. Low-risk patients are not considered to require adjuvant therapy or staging lymphadenectomy. For patients with intermediate or high risk, some guidelines recommend tailoring adjuvant treatment according to additional negative prognostic factors. Our objective was to evaluate the biomarker potential of the ASRGL1 protein in endometrial carcinoma. METHODS Using The Human Protein Atlas (www.proteinatlas.org), the l-asparaginase (ASRGL1) protein was identified as an endometrial carcinoma biomarker candidate. ASRGL1 expression was immunohistochemically evaluated with an extensively validated antibody on two independent endometrial carcinoma cohorts (n=229 and n=286) arranged as tissue microarrays. Staining results were correlated with clinical features. RESULTS Reduced expression of ASRGL1, defined as <75% positively stained tumor cells, was significantly associated with poor prognosis and reduced disease-specific survival in endometrioid endometrial adenocarcinoma (EEA). In multivariate analysis the hazard ratios for disease-specific survival were 3.55 (95% CI=1.10-11.43; p=0.003) and 3.23 (95% CI=1.53-6.81; p=0.002) in the two cohorts, respectively. Of the 48 cases with Grade 3 Stage I tumor all disease-related deaths were associated with low ASRGL1 expression. CONCLUSIONS Loss of ASRGL1 in EEA is a powerful biomarker for poor prognosis and retained ASRGL1 has a positive impact on survival. ASRGL1 immunohistochemistry has potential to become an additional tool for prognostication in cases where tailoring adjuvant treatment according to additional prognostic factors besides grade and stage is recommended.


BMC Cancer | 2017

A systematic search strategy identifies cubilin as independent prognostic marker for renal cell carcinoma

Gabriela Gremel; Dijana Djureinovic; Marjut Niinivirta; Alexander Laird; Oscar Ljungqvist; Henrik Johannesson; Julia Bergman; Perk-Henrik Edqvist; Sanjay Navani; Naila Khan; Tushar Patil; Åsa Sivertsson; Mathias Uhlén; David J. Harrison; Gustav Ullenhag; Grant D. Stewart; Fredrik Pontén

BackgroundThere is an unmet clinical need for better prognostic and diagnostic tools for renal cell carcinoma (RCC).MethodsHuman Protein Atlas data resources, including the transcriptomes and proteomes of normal and malignant human tissues, were searched for RCC-specific proteins and cubilin (CUBN) identified as a candidate. Patient tissue representing various cancer types was constructed into a tissue microarray (n = 940) and immunohistochemistry used to investigate the specificity of CUBN expression in RCC as compared to other cancers. Two independent RCC cohorts (n = 181; n = 114) were analyzed to further establish the sensitivity of CUBN as RCC-specific marker and to explore if the fraction of RCCs lacking CUBN expression could predict differences in patient survival.ResultsCUBN was identified as highly RCC-specific protein with 58% of all primary RCCs staining positive for CUBN using immunohistochemistry. In venous tumor thrombi and metastatic lesions, the frequency of CUBN expression was increasingly lost. Clear cell RCC (ccRCC) patients with CUBN positive tumors had a significantly better prognosis compared to patients with CUBN negative tumors, independent of T-stage, Fuhrman grade and nodal status (HR 0.382, CI 0.203–0.719, P = 0.003).ConclusionsCUBN expression is highly specific to RCC and loss of the protein is significantly and independently associated with poor prognosis. CUBN expression in ccRCC provides a promising positive prognostic indicator for patients with ccRCC. The high specificity of CUBN expression in RCC also suggests a role as a new diagnostic marker in clinical cancer differential diagnostics to confirm or rule out RCC.


Breast Cancer Research and Treatment | 2013

Targeting HMG-CoA reductase with statins in a window-of-opportunity breast cancer trial.

Olöf Bjarnadottir; Quinci Romero; Pär-Ola Bendahl; Karin Jirström; Lisa Rydén; Niklas Loman; Mathias Uhlén; Henrik Johannesson; Carsten Rose; Dorthe Grabau; Signe Borgquist


Translational Proteomics | 2014

Analysis of plasma from prostate cancer patients links decreased carnosine dipeptidase 1 levels to lymph node metastasis

Ulrika Qundos; Henrik Johannesson; Claudia Fredolini; Gillian O’Hurley; Rui M. Branca; Mathias Uhlén; Fredrik Wiklund; Anders Bjartell; Peter Nilsson; Jochen M. Schwenk

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Mathias Uhlén

Royal Institute of Technology

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Barbara Hjelm

Royal Institute of Technology

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Jochen M. Schwenk

Royal Institute of Technology

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Peter Nilsson

Royal Institute of Technology

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