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Svanøe AA, Humlevik ROC, Knutsvik G, Sæle AKM, Askeland C, Ingebriktsen LM, Hugaas U, Kvamme AB, Tegnander AF, Krüger K, Davidsen B, Hoivik EA, Aas T, Stefansson IM, Akslen LA, Wik E. Age-related phenotypes in breast cancer: A population-based study. Int J Cancer 2024; 154:2014-2024. [PMID: 38319154 DOI: 10.1002/ijc.34863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 12/21/2023] [Accepted: 01/05/2024] [Indexed: 02/07/2024]
Abstract
Breast cancer in young (<40 years) is associated with a higher frequency of aggressive tumor types and poor prognosis. It remains unclear if there is an underlying age-related biology that contributes to the unfavorable outcome. We aim to investigate the relationship between age and breast cancer biology, with emphasis on proliferation. Clinico-pathologic information, immunohistochemical markers and follow-up data were obtained for all patients aged <50 (Bergen cohort-1; n = 355, not part of a breast screening program) and compared to previously obtained information on patients aged 50 to 69 years (Bergen cohort-2; n = 540), who participated in the Norwegian Breast Cancer Screening Program. Young breast cancer patients presented more aggressive tumor features such as hormone receptor negativity, HER2 positivity, lymph-node metastasis, the HER2-enriched and triple-negative subtypes and shorter survival. Age <40 was significantly associated with higher proliferation (by Ki67). Ki67 showed weaker prognostic value in young patients. We point to aggressive phenotypes and increased tumor cell proliferation in breast cancer of the young. Hence, tumors of young breast cancer patients may present unique biological features, also when accounting for screen/interval differences, that may open for new clinical opportunities, stratifying treatment by age.
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Affiliation(s)
- Amalie A Svanøe
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Rasmus O C Humlevik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Gøril Knutsvik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Anna K M Sæle
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Cecilie Askeland
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Lise M Ingebriktsen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ulrikke Hugaas
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Amalie B Kvamme
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Amalie F Tegnander
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Kristi Krüger
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Erling A Hoivik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Turid Aas
- Department of Surgery, Haukeland University Hospital, Bergen, Norway
| | - Ingunn M Stefansson
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
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2
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Tsuruda KM, Hoff SR, Akslen LA, Hofvind S. Fatal and non-fatal breast cancers in women targeted by BreastScreen Norway: a cohort study. Br J Cancer 2024; 130:99-107. [PMID: 38049556 PMCID: PMC10782016 DOI: 10.1038/s41416-023-02512-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Many breast cancer survivors experience anxiety related to dying from their disease even if it is detected at an early stage. We aimed to increase knowledge about fatal and non-fatal breast cancer by describing how histopathological tumour profiles and detection modes were associated with 10-year breast cancer-specific survival. METHODS This cohort study included data from women targeted by BreastScreen Norway (aged 50-69) and diagnosed with invasive breast cancer during 1996-2011. Breast cancer was classified as fatal if causing death within 10 years after diagnosis and non-fatal otherwise. We described histopathologic characteristics of fatal and non-fatal cancers, stratified by mode of detection. Recursive partitioning identified subgroups with differing survival profiles. RESULTS In total, 6.3% of 9954 screen-detected cancers (SDC) were fatal, as were 17.4% of 3205 interval cancers (IC) and 20.9% of 3237 cancers detected outside BreastScreen Norway. Four to five subgroups with differing survival profiles were identified within each detection mode. Women with lymph node-negative SDC or Grade 1-2, node-negative IC without distant metastases had the highest 10-year survival (95-96%). CONCLUSIONS Two subgroups representing 53% of the cohort had excellent (95-96%) 10-year breast cancer-specific survival. Most women with SDC had excellent survival, as did nearly 40% of women diagnosed with IC.
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Affiliation(s)
| | - Solveig Roth Hoff
- Department of Radiology, Ålesund Hospital, Helse Møre og Romsdal, Ålesund, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Solveig Hofvind
- Cancer Registry of Norway, Oslo, Norway.
- Department of Health and Care Sciences, The Arctic University of Norway, Tromsø, Norway.
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Lien HE, Berg HF, Halle MK, Trovik J, Haldorsen IS, Akslen LA, Krakstad C. Corrigendum to "Single-cell profiling of low-stage endometrial cancers identifies low epithelial vimentin expression as a marker of recurrent disease" [EBioMedicine 92 (2023) 104595]. EBioMedicine 2023; 98:104876. [PMID: 37977050 PMCID: PMC10682812 DOI: 10.1016/j.ebiom.2023.104876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023] Open
Affiliation(s)
- Hilde E Lien
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Hege F Berg
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Mari K Halle
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Jone Trovik
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Camilla Krakstad
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
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Børretzen A, Reisæter LAR, Ringheim A, Gravdal K, Haukaas SA, Fasmer KE, Haldorsen IHS, Beisland C, Akslen LA, Halvorsen OJ. Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer. Sci Rep 2023; 13:17949. [PMID: 37863961 PMCID: PMC10589248 DOI: 10.1038/s41598-023-45158-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 10/17/2023] [Indexed: 10/22/2023] Open
Abstract
Active angiogenesis may be assessed by immunohistochemistry using Nestin, a marker of newly formed vessels, combined with Ki67 for proliferating cells. Here, we studied microvascular proliferation by Nestin-Ki67 co-expression in prostate cancer, focusing on relations to quantitative imaging parameters from anatomically matched areas obtained by preoperative mpMRI, clinico-pathological features and prognosis. Tumour slides from 67 patients (radical prostatectomies) were stained for Nestin-Ki67. Proliferative microvessel density (pMVD) and presence of glomeruloid microvascular proliferation (GMP) were recorded. From mpMRI, forward volume transfer constant (Ktrans), reverse volume transfer constant (kep), volume of EES (ve), blood flow, and apparent diffusion coefficient (ADC) were obtained. High pMVD was associated with high blood flow (p = 0.008) and low ADC (p = 0.032). High Ktrans, kep, and blood flow were associated with high Gleason score. High pMVD, GMP, and low ADC were associated with most adverse clinico-pathological factors. Regarding prognosis, high pMVD, Ktrans, kep, and low ADC were associated with reduced biochemical recurrence-free- and metastasis-free survival (p ≤ 0.044) and high blood flow with reduced time to biochemical- and clinical recurrence (p < 0.026). In multivariate analyses however, microvascular proliferation was a stronger predictor compared with blood flow. Indirect, dynamic markers of angiogenesis from mpMRI and direct, static markers of angiogenesis from immunohistochemistry may aid in the stratification and therapy planning of prostate cancer patients.
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Affiliation(s)
- Astrid Børretzen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
- Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway.
| | - Lars A R Reisæter
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Anders Ringheim
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Karsten Gravdal
- Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway
| | - Svein A Haukaas
- Department of Urology, Haukeland University Hospital, Bergen, Norway
| | - Kristine E Fasmer
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ingfrid H S Haldorsen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Christian Beisland
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Urology, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, 5021, Bergen, Norway
| | - Ole J Halvorsen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Ehsani R, Jonassen I, Akslen LA, Kleftogiannis D. LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. Bioinform Adv 2023; 3:vbad146. [PMID: 37881170 PMCID: PMC10597586 DOI: 10.1093/bioadv/vbad146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/27/2023]
Abstract
Motivation Recent advances in highly multiplexed imaging have provided unprecedented insights into the complex cellular organization of tissues, with many applications in translational medicine. However, downstream analyses of multiplexed imaging data face several technical limitations, and although some computational methods and bioinformatics tools are available, deciphering the complex spatial organization of cellular ecosystems remains a challenging problem. Results To mitigate this problem, we develop a novel computational tool, LOCATOR (anaLysis Of CAncer Tissue micrOenviRonment), for spatial analysis of cancer tissue microenvironments using data acquired from mass cytometry imaging technologies. LOCATOR introduces a graph-based representation of tissue images to describe features of the cellular organization and deploys downstream analysis and visualization utilities that can be used for data-driven patient-risk stratification. Our case studies using mass cytometry imaging data from two well-annotated breast cancer cohorts re-confirmed that the spatial organization of the tumour-immune microenvironment is strongly associated with the clinical outcome in breast cancer. In addition, we report interesting potential associations between the spatial organization of macrophages and patients' survival. Our work introduces an automated and versatile analysis tool for mass cytometry imaging data with many applications in future cancer research projects. Availability and implementation Datasets and codes of LOCATOR are publicly available at https://github.com/RezvanEhsani/LOCATOR.
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Affiliation(s)
- Rezvan Ehsani
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
| | - Inge Jonassen
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
- Department of Pathology, Haukeland University Hospital, Bergen N-5020, Norway
| | - Dimitrios Kleftogiannis
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
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Schuster C, Akslen LA, Straume O. β2-adrenergic receptor expression in patients receiving bevacizumab therapy for metastatic melanoma. Cancer Med 2023; 12:17891-17900. [PMID: 37551424 PMCID: PMC10524038 DOI: 10.1002/cam4.6424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 07/01/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Vascular endothelial growth factor (VEGF) was initially known as vascular permeability factor and identified as a driver of tumour angiogenesis. Recently, its role in supporting an immunosuppressive tumour microenvironment was demonstrated, and anti-VEGF treatment combined with immune checkpoint blockade is currently investigated. Further, beta-adrenergic signalling as a modifier of cancer hallmarks like immune response, angiogenesis and metastasis gained increased attention during past years. METHODS Focusing on the aspect of immunosuppression in upregulated beta-adrenergic signalling, we investigated predictive markers in patients with metastatic melanoma who received bevacizumab monotherapy, a specific VEGF-A binding antibody. We explored the expression of beta-2 adrenergic receptor (β2-AR), interleukin 6-receptor (IL6-R), cyclooxygenase 2 (COX2) and VEGF-A by immunohistochemistry in melanoma to assess the correlation between these proteins in melanoma cells and response to treatment. RESULTS Strong β2-AR expression in metastases was associated with clinical benefit of bevacizumab. Furthermore, expression of the latter was positively linked to expression of VEGF-A and COX2. β2-AR expression in melanoma metastasis appears to distinguish a subgroup of patients that might benefit from anti-VEGF treatment. CONCLUSION Our results strengthen further exploration of anti-VEGF therapy in combination with immune checkpoint blockade in clinical studies and the investigation of β2-AR as predictive marker.
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Affiliation(s)
- Cornelia Schuster
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIOUniversity of BergenBergenNorway
- Department of Oncology and Medical PhysicsHaukeland University HospitalBergenNorway
| | - Lars A. Akslen
- Department of Clinical Medicine, Centre for Cancer Biomarkers CCBIOUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Oddbjørn Straume
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIOUniversity of BergenBergenNorway
- Department of Oncology and Medical PhysicsHaukeland University HospitalBergenNorway
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Kjølle S, Finne K, Birkeland E, Ardawatia V, Winge I, Aziz S, Knutsvik G, Wik E, Paulo JA, Vethe H, Kleftogiannis D, Akslen LA. Hypoxia induced responses are reflected in the stromal proteome of breast cancer. Nat Commun 2023; 14:3724. [PMID: 37349288 PMCID: PMC10287711 DOI: 10.1038/s41467-023-39287-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 06/07/2023] [Indexed: 06/24/2023] Open
Abstract
Cancers are often associated with hypoxia and metabolic reprogramming, resulting in enhanced tumor progression. Here, we aim to study breast cancer hypoxia responses, focusing on secreted proteins from low-grade (luminal-like) and high-grade (basal-like) cell lines before and after hypoxia. We examine the overlap between proteomics data from secretome analysis and laser microdissected human breast cancer stroma, and we identify a 33-protein stromal-based hypoxia profile (33P) capturing differences between luminal-like and basal-like tumors. The 33P signature is associated with metabolic differences and other adaptations following hypoxia. We observe that mRNA values for 33P predict patient survival independently of molecular subtypes and basic prognostic factors, also among low-grade luminal-like tumors. We find a significant prognostic interaction between 33P and radiation therapy.
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Affiliation(s)
- Silje Kjølle
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Kenneth Finne
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Even Birkeland
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Vandana Ardawatia
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Ingeborg Winge
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Sura Aziz
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway
| | - Gøril Knutsvik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Heidrun Vethe
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
| | - Dimitrios Kleftogiannis
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, N-5021, Norway.
- Department of Pathology, Haukeland University Hospital, Bergen, N-5021, Norway.
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Lien HE, Berg HF, Halle MK, Trovik J, Haldorsen IS, Akslen LA, Krakstad C. Single-cell profiling of low-stage endometrial cancers identifies low epithelial vimentin expression as a marker of recurrent disease. EBioMedicine 2023; 92:104595. [PMID: 37146405 PMCID: PMC10277918 DOI: 10.1016/j.ebiom.2023.104595] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/12/2023] [Accepted: 04/17/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Identification of aggressive low-stage endometrial cancers is challenging. So far, studies have failed to pinpoint robust features or biomarkers associated with risk of recurrence for these patients. METHODS Imaging mass cytometry was used to examine single-cell expression of 23 proteins in 36 primary FIGO IB endometrial cancers, of which 17 recurred. Single-cell information was extracted for each tumor and unsupervised clustering was used to identify cellular phenotypes. Distinct phenotypes and cellular neighborhoods were compared in relation to recurrence. Cellular differences were validated in a separate gene expression dataset and the TCGA EC dataset. Vimentin protein expression was evaluated by IHC in pre-operative samples from 518 patients to validate its robustness as a prognostic marker. FINDINGS The abundance of epithelial, immune or stromal cell types did not associate with recurrence. Clustering of patients based on tumor single cell marker expression revealed distinct patient clusters associated with outcome. A cell population neighboring CD8+ T cells, defined by vimentin, ER, and PR expressing epithelial cells, was more prevalent in non-recurrent tumors. Importantly, lower epithelial vimentin expression and lower gene expression of VIM associated with worse recurrence-free survival. Loss and low expression of vimentin was validated by IHC as a robust marker for recurrence in FIGO I stage disease and predicted poor prognosis also when including all patients and in endometrioid patients only. INTERPRETATION This study reveals distinct characteristics in low-stage tumors and points to vimentin as a clinically relevant marker that may aid in identifying a here to unidentified subgroup of high-risk patients. FUNDING A full list of funding that contributed to this study can be found in the Acknowledgements section.
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Affiliation(s)
- Hilde E Lien
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Hege F Berg
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Mari K Halle
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Jone Trovik
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Camilla Krakstad
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
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Milosevic V, Edelmann RJ, Winge I, Strell C, Mezheyeuski A, Knutsvik G, Askeland C, Wik E, Akslen LA, Östman A. Vessel size as a marker of survival in estrogen receptor positive breast cancer. Breast Cancer Res Treat 2023:10.1007/s10549-023-06974-4. [PMID: 37222874 DOI: 10.1007/s10549-023-06974-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/03/2023] [Indexed: 05/25/2023]
Abstract
PURPOSE Angiogenesis is crucial for tumor growth and is one of the hallmarks of cancer. In this study, we analyzed microvessel density, vessel median size, and perivascular a-SMA expression as prognostic biomarkers in breast cancer. METHODS Dual IHC staining was performed where alpha-SMA antibodies were used together with antibodies against the endothelial cell marker CD34. Digital images of stainings were analyzed to extract quantitative data on vessel density, vessel size, and perivascular alpha-SMA status. RESULTS The analyses in the discovery cohort (n = 108) revealed a statistically significant relationship between large vessel size and shorter disease-specific survival (p = 0.007, log-rank test; p = 0.01, HR 3.1; 95% CI 1.3-7.4, Cox-regression analyses). Subset analyses indicated that the survival association of vessel size was strengthened in ER + breast cancer. To consolidate these findings, additional analyses were performed on a validation cohort (n = 267) where an association between large vessel size and reduced survival was also detected in ER + breast cancer (p = 0.016, log-rank test; p = 0.02; HR 2.3, 95% CI 1.1-4.7, Cox-regression analyses). CONCLUSION Alpha-SMA/CD34 dual-IHC staining revealed breast cancer heterogeneity regarding vessel size, vessel density, and perivascular a-SMA status. Large vessel size was linked to shorter survival in ER + breast cancer.
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Affiliation(s)
- Vladan Milosevic
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
| | - Reidunn J Edelmann
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Ingeborg Winge
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Carina Strell
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Artur Mezheyeuski
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Gøril Knutsvik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Cecilie Askeland
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Arne Östman
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Oncology and Pathology, Karolinska Institutet, Solna, Sweden
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10
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Bjørnstad OV, Carrasco M, Finne K, Winge I, Askeland C, Arnes JB, Knutsvik G, Kleftogiannis D, Paulo JA, Akslen LA, Vethe H. Global and single-cell proteomics view of the co-evolution between neural progenitors and breast cancer cells in a co-culture model. bioRxiv 2023:2023.05.03.539050. [PMID: 37205344 PMCID: PMC10187147 DOI: 10.1101/2023.05.03.539050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Tumor neurogenesis, a process by which new nerves invade tumors, is a growing area of interest in cancer research. Nerve presence has been linked to aggressive features of various solid tumors, including breast and prostate cancer. A recent study suggested that the tumor microenvironment may influence cancer progression through recruitment of neural progenitor cells from the central nervous system. However, the presence of neural progenitors in human breast tumors has not been reported. Here, we investigate the presence of Doublecortin (DCX) and Neurofilament-Light (NFL) co-expressing (DCX+/NFL+) cells in patient breast cancer tissue using Imaging Mass Cytometry. To map the interaction between breast cancer cells and neural progenitor cells further, we created an in vitro model mimicking breast cancer innervation, and characterized using mass spectrometry-based proteomics on the two cell types as they co- evolved in co-culture. Our results indicate stromal presence of DCX+/NFL+ cells in breast tumor tissue from a cohort of 107 patient cases, and that neural interaction contribute to drive a more aggressive breast cancer phenotype in our co-culture models. Our results support that neural involvement plays an active role in breast cancer and warrants further studies on the interaction between nervous system and breast cancer progression.
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11
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Morild I, Akslen LA, Molven A, Skarstein K, Bertelsen BI, Mørk S, Clausen OPF. Ole Didrik Lærum. Tidsskriftet 2023. [DOI: 10.4045/tidsskr.23.0154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
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12
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Chen Y, Klingen TA, Aas H, Wik E, Akslen LA. CD47 and CD68 expression in breast cancer is associated with tumor-infiltrating lymphocytes, blood vessel invasion, detection mode, and prognosis. J Pathol Clin Res 2023; 9:151-164. [PMID: 36598153 PMCID: PMC10073931 DOI: 10.1002/cjp2.309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 12/16/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023]
Abstract
CD47 expressed on tumor cells binds to signal regulatory protein alpha on macrophages, initiating inhibition of phagocytosis. We investigated the relationships between tumor expression of CD47 and CD68 macrophage content, subsets of tumor-infiltrating lymphocytes (TILs), and vascular invasion in breast cancer. A population-based series of 282 cases (200 screen detected and 82 interval patients) from the Norwegian Breast Cancer Screening Program was examined. Immunohistochemical staining for CD47 and CD68 was evaluated on tissue microarray (TMA) slides. For CD47 evaluation, a staining index was used. CD68 tumor-associated macrophages were counted and dichotomized. TIL subsets (CD45, CD3, CD4, CD8, and FOXP3) were counted and dichotomized using immunohistochemistry on TMA slides. Vascular invasion (both lymphatic and blood vessel) was determined on whole tissue slides. High CD47 tumor cell expression or high counts of CD68 macrophages were significantly associated with elevated levels of all TIL subsets (p < 0.02), CD163 macrophages (p < 0.001), blood vessel invasion (CD31 positive) (p < 0.01), and high tumor cell Ki67 (p < 0.004). High CD47 expression was associated with ER negativity (p < 0.001), HER2 positive status (p = 0.03), and interval-detected tumors (p = 0.03). Combined high expression of CD47-CD68 was associated with a shorter recurrence-free survival (RFS) by multivariate analysis (hazard ratio [HR]: 2.37, p = 0.018), adjusting for tumor diameter, histologic grade, lymph node status, and molecular subtype. Patients with luminal A tumors showed a shorter RFS for CD47-CD68 high cases by multivariate assessment (HR: 5.73, p = 0.004). This study demonstrates an association of concurrent high CD47 tumor cell expression and high CD68 macrophage counts with various TIL subsets, blood vessel invasion (CD31 positive), other aggressive tumor features, and interval-presenting breast cancer. Our findings suggest a link between CD47, tumor immune response, and blood vessel invasion (CD31 positive). Combined high expression of CD47-CD68 was an independent prognostic factor associated with poor prognosis in all cases, as well as in the luminal A category.
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Affiliation(s)
- Ying Chen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyVestfold HospitalTønsbergNorway
- Department of PathologyOslo University HospitalOsloNorway
- Fürst Medical LaboratoryOsloNorway
| | - Tor Audun Klingen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyVestfold HospitalTønsbergNorway
| | - Hans Aas
- Department of SurgeryVestfold HospitalTønsbergNorway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
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13
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Ingebriktsen LM, Finne K, Akslen LA, Wik E. A novel age-related gene expression signature associates with proliferation and disease progression in breast cancer. Br J Cancer 2022; 127:1865-1875. [PMID: 35995935 DOI: 10.1038/s41416-022-01953-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 08/01/2022] [Accepted: 08/05/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Breast cancer (BC) diagnosed at ages <40 years presents with more aggressive tumour phenotypes and poorer clinical outcome compared to older BC patients. Here, we explored transcriptional BC alterations to gain a better understanding of age-related tumour biology, also subtype-stratified. METHODS We studied publicly available global BC mRNA expression (n = 3999) and proteomics data (n = 113), exploring differentially expressed genes, enriched gene sets, and gene networks in the young compared to older patients. RESULTS We identified transcriptional patterns reflecting increased proliferation and oncogenic signalling in BC of the young, also in subtype-stratified analyses. Six up-regulated hub genes built a novel age-related score, significantly associated with aggressive clinicopathologic features. A high 6 Gene Proliferation Score (6GPS) demonstrated independent prognostic value when adjusted for traditional clinicopathologic variables and the molecular subtypes. The 6GPS significantly associated also with disease-specific survival within the luminal, lymph node-negative and Oncotype Dx intermediate subset. CONCLUSIONS We here demonstrate evidence of higher tumour cell proliferation in young BC patients, also when adjusting for molecular subtypes, and identified a novel age-based six-gene signature pointing to aggressive tumour features, tumour proliferation, and reduced survival-also in patient subsets with expected good prognosis.
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Affiliation(s)
- L M Ingebriktsen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
| | - K Finne
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
| | - L A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - E Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway. .,Department of Pathology, Haukeland University Hospital, Bergen, Norway.
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14
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Lotsberg ML, Røsland GV, Rayford AJ, Dyrstad SE, Ekanger CT, Lu N, Frantz K, Stuhr LEB, Ditzel HJ, Thiery JP, Akslen LA, Lorens JB, Engelsen AST. Intrinsic Differences in Spatiotemporal Organization and Stromal Cell Interactions Between Isogenic Lung Cancer Cells of Epithelial and Mesenchymal Phenotypes Revealed by High-Dimensional Single-Cell Analysis of Heterotypic 3D Spheroid Models. Front Oncol 2022; 12:818437. [PMID: 35530312 PMCID: PMC9076321 DOI: 10.3389/fonc.2022.818437] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/22/2022] [Indexed: 11/30/2022] Open
Abstract
The lack of inadequate preclinical models remains a limitation for cancer drug development and is a primary contributor to anti-cancer drug failures in clinical trials. Heterotypic multicellular spheroids are three-dimensional (3D) spherical structures generated by self-assembly from aggregates of two or more cell types. Compared to traditional monolayer cell culture models, the organization of cells into a 3D tissue-like structure favors relevant physiological conditions with chemical and physical gradients as well as cell-cell and cell-extracellular matrix (ECM) interactions that recapitulate many of the hallmarks of cancer in situ. Epidermal growth factor receptor (EGFR) mutations are prevalent in non-small cell lung cancer (NSCLC), yet various mechanisms of acquired resistance, including epithelial-to-mesenchymal transition (EMT), limit the clinical benefit of EGFR tyrosine kinase inhibitors (EGFRi). Improved preclinical models that incorporate the complexity induced by epithelial-to-mesenchymal plasticity (EMP) are urgently needed to advance new therapeutics for clinical NSCLC management. This study was designed to provide a thorough characterization of multicellular spheroids of isogenic cancer cells of various phenotypes and demonstrate proof-of-principle for the applicability of the presented spheroid model to evaluate the impact of cancer cell phenotype in drug screening experiments through high-dimensional and spatially resolved imaging mass cytometry (IMC) analyses. First, we developed and characterized 3D homotypic and heterotypic spheroid models comprising EGFRi-sensitive or EGFRi-resistant NSCLC cells. We observed that the degree of EMT correlated with the spheroid generation efficiency in monocultures. In-depth characterization of the multicellular heterotypic spheroids using immunohistochemistry and high-dimensional single-cell analyses by IMC revealed intrinsic differences between epithelial and mesenchymal-like cancer cells with respect to self-sorting, spatiotemporal organization, and stromal cell interactions when co-cultured with fibroblasts. While the carcinoma cells harboring an epithelial phenotype self-organized into a barrier sheet surrounding the fibroblasts, mesenchymal-like carcinoma cells localized to the central hypoxic and collagen-rich areas of the compact heterotypic spheroids. Further, deep-learning-based single-cell segmentation of IMC images and application of dimensionality reduction algorithms allowed a detailed visualization and multiparametric analysis of marker expression across the different cell subsets. We observed a high level of heterogeneity in the expression of EMT markers in both the carcinoma cell populations and the fibroblasts. Our study supports further application of these models in pre-clinical drug testing combined with complementary high-dimensional single-cell analyses, which in turn can advance our understanding of the impact of cancer-stroma interactions and epithelial phenotypic plasticity on innate and acquired therapy resistance in NSCLC.
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Affiliation(s)
- Maria L. Lotsberg
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Gro V. Røsland
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Austin J. Rayford
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- BerGenBio, Bergen, Norway
| | - Sissel E. Dyrstad
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Camilla T. Ekanger
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Ning Lu
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Kirstine Frantz
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Linda E. B. Stuhr
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Henrik J. Ditzel
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Jean Paul Thiery
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Guangzhou Laboratory, Guangzhou, China
- Gustave Roussy Cancer Campus, UMR 1186, Inserm, Université Paris-Saclay, Villejuif, France
| | - Lars A. Akslen
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, Section for Pathology, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - James B. Lorens
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Agnete S. T. Engelsen
- Centre for Cancer Biomarkers (CCBIO), Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- *Correspondence: Agnete S. T. Engelsen,
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15
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Thy JE, Bhargava S, Larsen M, Akslen LA, Hofvind S. Early screening outcomes among non-immigrants and immigrants targeted by BreastScreen Norway, 2010-2019. Scand J Public Health 2022:14034948221078701. [PMID: 35361004 DOI: 10.1177/14034948221078701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
AIMS This study aimed to analyse results on early screening outcomes, including recall and cancer rates, and histopathological tumour characteristics among non-immigrants and immigrants invited to BreastScreen Norway. METHODS We included information about 2, 763,230 invitations and 2,087,222 screening examinations from 805,543 women aged 50-69 years who were invited to BreastScreen Norway between 2010 and 2019. Women were stratified into three groups based on their birth country: non-immigrants, immigrants born in Western countries and immigrants born in non-Western countries. Age-adjusted regression models were used to analyse early screening outcomes. A random intercept effect was included in models where women underwent several screening examinations. RESULTS The overall attendance was 77.5% for non-immigrants, 68% for immigrants from Western countries and 51.5% for immigrants from non-Western countries. The rate of screen-detected cancers was 5.9/1000 screening examinations for non-immigrants, 6.3/1000 for immigrants from Western countries and 5.1/1000 for immigrants from non-Western countries. Adjusted for age, the rate did not differ statistically between the groups (p=0.091). The interval cancer rate was 1.7/1000 screening examinations for non-immigrants, 2.4/1000 for immigrants from Western countries and 1.6/1000 for non-Western countries (p<0.001). Histological grade was less favourable for screen-detected cancers, and subtype was less favourable for interval cancers among immigrants from non-Western countries versus non-immigrants. CONCLUSIONS There were no differences in age-adjusted rate of screen-detected cancer among non-immigrants and immigrants from Western countries or non-Western countries among women attending BreastScreen Norway between 2010 and 2019. Small but clinically relevant differences in histopathological tumour characteristics were observed between the three groups.
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Affiliation(s)
| | - Sameer Bhargava
- Cancer Registry of Norway, Norway.,Division of Oncology, Department of Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Norway
| | | | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Norway
| | - Solveig Hofvind
- Cancer Registry of Norway, Norway.,Department of Health and Care Sciences, UiT The Arctic University of Norway, Norway
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16
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Ekanger CT, Zhou F, Bohan D, Lotsberg ML, Ramnefjell M, Hoareau L, Røsland GV, Lu N, Aanerud M, Gärtner F, Salminen PR, Bentsen M, Halvorsen T, Ræder H, Akslen LA, Langeland N, Cox R, Maury W, Stuhr LEB, Lorens JB, Engelsen AST. Human Organotypic Airway and Lung Organoid Cells of Bronchiolar and Alveolar Differentiation Are Permissive to Infection by Influenza and SARS-CoV-2 Respiratory Virus. Front Cell Infect Microbiol 2022; 12:841447. [PMID: 35360113 PMCID: PMC8964279 DOI: 10.3389/fcimb.2022.841447] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/10/2022] [Indexed: 12/13/2022] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic has led to the initiation of unprecedented research efforts to understand the pathogenesis mediated by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). More knowledge is needed regarding the cell type-specific cytopathology and its impact on cellular tropism. Furthermore, the impact of novel SARS-CoV-2 mutations on cellular tropism, alternative routes of entry, the impact of co-infections, and virus replication kinetics along the respiratory tract remains to be explored in improved models. Most applied virology models are not well suited to address the remaining questions, as they do not recapitulate the histoarchitecture and cellular composition of human respiratory tissues. The overall aim of this work was to establish from single biopsy specimens, a human adult stem cell-derived organoid model representing the upper respiratory airways and lungs and explore the applicability of this model to study respiratory virus infection. First, we characterized the organoid model with respect to growth pattern and histoarchitecture, cellular composition, and functional characteristics. Next, in situ expression of viral entry receptors, including influenza virus-relevant sialic acids and SARS-CoV-2 entry receptor ACE2 and TMPRSS2, were confirmed in organoids of bronchiolar and alveolar differentiation. We further showed successful infection by pseudotype influenza A H7N1 and H5N1 virus, and the ability of the model to support viral replication of influenza A H7N1 virus. Finally, successful infection and replication of a clinical isolate of SARS-CoV-2 were confirmed in the organoids by TCID50 assay and immunostaining to detect intracellular SARS-CoV-2 specific nucleocapsid and dsRNA. The prominent syncytia formation in organoid tissues following SARS-CoV-2 infection mimics the findings from infected human tissues in situ. We conclude that the human organotypic model described here may be particularly useful for virology studies to evaluate regional differences in the host response to infection. The model contains the various cell types along the respiratory tract, expresses respiratory virus entry factors, and supports successful infection and replication of influenza virus and SARS-CoV-2. Thus, the model may serve as a relevant and reliable tool in virology and aid in pandemic preparedness, and efficient evaluation of antiviral strategies.
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Affiliation(s)
- Camilla Tvedt Ekanger
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
- The Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Fan Zhou
- The Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Dana Bohan
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, United States
| | - Maria Lie Lotsberg
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
| | - Maria Ramnefjell
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Laurence Hoareau
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Gro Vatne Røsland
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
| | - Ning Lu
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
| | - Marianne Aanerud
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
| | - Fabian Gärtner
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
| | - Pirjo Riitta Salminen
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Section of Cardiothoracic Surgery, Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Mariann Bentsen
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Thomas Halvorsen
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Helge Ræder
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Lars A. Akslen
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Nina Langeland
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Rebecca Cox
- The Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Microbiology, Haukeland University Hospital, Bergen, Norway
| | - Wendy Maury
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, United States
| | | | - James B. Lorens
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
| | - Agnete S. T. Engelsen
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen (CCBIO), Department of Clinical Medicine, Bergen, Norway
- *Correspondence: Agnete S. T. Engelsen,
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17
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Moshina N, Falk RS, Botteri E, Larsen M, Akslen LA, Cairns JA, Hofvind S. Quality of life among women with symptomatic, screen-detected, and interval breast cancer, and for women without breast cancer: a retrospective cross-sectional study from Norway. Qual Life Res 2021; 31:1057-1068. [PMID: 34698976 PMCID: PMC8547129 DOI: 10.1007/s11136-021-03017-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2021] [Indexed: 11/09/2022]
Abstract
Purpose Breast cancers detected at screening need less aggressive treatment compared to breast cancers detected due to symptoms. The evidence on the quality of life associated with screen-detected versus symptomatic breast cancer is sparse. This study aimed to compare quality of life among Norwegian women with symptomatic, screen-detected and interval breast cancer, and women without breast cancer and investigate quality adjusted life years (QALYs) for women with breast cancer from the third to 14th year since diagnosis. Methods This retrospective cross-sectional study was focused on women aged 50 and older. A self-reported questionnaire including EQ-5D-5L was sent to 11,500 women. Multivariable median regression was used to analyze the association between quality of life score (visual analogue scale 0–100) and detection mode. Health utility values representing women’s health status were extracted from EQ-5D-5L. QALYs were estimated by summing up the health utility values for women stratified by detection mode for each year between the third and the 14th year since breast cancer diagnosis, assuming that all women would survive. Results Adjusted regression analyses showed that women with screen-detected (n = 1206), interval cancer (n = 1005) and those without breast cancer (n = 1255) reported a higher median quality of life score using women with symptomatic cancer (n = 1021) as reference; 3.7 (95%CI 2.2–5.2), 2.3 (95%CI 0.7–3.8) and 4.8 (95%CI 3.3–6.4), respectively. Women with symptomatic, screen-detected and interval cancer would experience 9.5, 9.6 and 9.5 QALYs, respectively, between the third and the 14th year since diagnosis. Conclusion Women with screen-detected or interval breast cancer reported better quality of life compared to women with symptomatic cancer. The findings add benefits of organized mammographic screening. Supplementary Information The online version contains supplementary material available at 10.1007/s11136-021-03017-7.
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Affiliation(s)
- Nataliia Moshina
- Cancer Registry of Norway, Majorstuen, P.O. 5313, 0304, Oslo, Norway.
| | - Ragnhild S Falk
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | | | - Marthe Larsen
- Cancer Registry of Norway, Majorstuen, P.O. 5313, 0304, Oslo, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - John A Cairns
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Solveig Hofvind
- Cancer Registry of Norway, Majorstuen, P.O. 5313, 0304, Oslo, Norway.,Department of Health and Care Sciences, UiT The Artic University of Norway, P.O. 6050, 9037, Tromsø, Norway
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18
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Chen Y, Klingen TA, Aas H, Wik E, Akslen LA. Tumor-associated lymphocytes and macrophages are related to stromal elastosis and vascular invasion in breast cancer. J Pathol Clin Res 2021; 7:517-527. [PMID: 34076969 PMCID: PMC8363927 DOI: 10.1002/cjp2.226] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 03/25/2021] [Accepted: 05/05/2021] [Indexed: 02/04/2023]
Abstract
The tumor microenvironment plays a critical role in breast cancer progression. Here, we investigated tumor-infiltrating lymphocytes (TILs) and associations with macrophage numbers, tumor stromal elastosis, vascular invasion, and tumor detection mode. We performed a population-based retrospective study using data from The Norwegian Breast Cancer Screening Program in Vestfold County (2004-2009), including 200 screen-detected and 82 interval cancers. The number of TILs (CD45+, CD3+, CD4+, CD8+, and FOXP3+) and tumor-associated macrophages (CD163+) was counted using immunohistochemistry on tissue microarray slides. Lymphatic and blood vessel invasion (LVI and BVI) were recorded using D2-40 and CD31 staining, and the amount of elastosis (high/low) was determined on regular HE-stained slides. High numbers of all TIL subsets were associated with LVI (p ≤ 0.04 for all), and high counts of several TIL subgroups (CD8+, CD45+, and FOXP3+) were associated with BVI (p ≤ 0.04 for all). Increased levels of all TIL subsets, except CD4+, were associated with estrogen receptor-negative tumors (p < 0.001) and high tumor cell proliferation by Ki67 (p < 0.001). Furthermore, high levels of all TIL subsets were associated with high macrophage counts (p < 0.001) and low-grade stromal elastosis (p ≤ 0.02). High counts of CD3+, CD8+, and FOXP3+ TILs were associated with interval detected tumors (p ≤ 0.04 for all). Finally, in the luminal A subgroup, high levels of CD3+ and FOXP3+ TILs were associated with shorter recurrence-free survival, and high counts of FOXP3+ were linked to reduced breast cancer-specific survival. In conclusion, higher levels of different TIL subsets were associated with stromal features such as high macrophage counts (CD163+), presence of vascular invasion, absence of stromal elastosis, as well as increased tumor cell proliferation and interval detection mode. Our findings support a link between immune cells and vascular invasion in more aggressive breast cancer. Notably, presence of TIL subsets showed prognostic value within the luminal A category.
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Affiliation(s)
- Ying Chen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyVestfold HospitalTønsbergNorway
- Department of PathologyOslo University HospitalOsloNorway
| | - Tor Audun Klingen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyVestfold HospitalTønsbergNorway
| | - Hans Aas
- Department of SurgeryVestfold HospitalTønsbergNorway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
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19
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Hofvind S, Knutsvik G, Holen ÅS, Tsuruda KM, Akslen LA. Detection and significance of small and low proliferation breast cancer. J Med Screen 2021; 29:32-37. [PMID: 34157879 DOI: 10.1177/09691413211023970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES To determine the frequency and discuss possible implications of early breast cancer with particularly good prognosis and defined by tumor diameter and cell proliferation. SETTING Detection of small and slowly growing tumors presents a challenge in breast cancer management, due to the risk of over-treatment. Here, we attempted to define a group of such tumors by combining small diameter (≤10 mm, T1ab tumors) with low tumor cell proliferation (≤10% Ki67 expression rate). These tumors were termed small low proliferation cancers (SLPC). METHODS Two population-based cohorts were studied: a small research series (n = 534), and a nation-wide registry-based series of prospectively collected routine data (n = 8433). In the latter, we stratified by detection mode; screen-detected, interval, and breast cancers detected outside of screening. Patients were treated according to national guidelines at time of their diagnosis. For both cohorts, we compared tumor histopathology and risk of breast cancer death using a log-rank test for cases with SLPC versus non-SLPC. RESULTS In the research series (median follow-up 151 months), the frequency of SLPC was 10% (54/534), with one breast cancer death compared with 78 among the remaining 480 cases of non-SLPC (p = 0.008). In the registry series (median follow-up 42 months), the frequency of SLPC was 10% (854/8433), with five deaths compared to 187 among the remaining 7579 cases (p = 0.0004). CONCLUSIONS SLPC was associated with very low risk of breast cancer death. Prospective randomized trials are needed to clarify whether less aggressive treatment could be a safe option for women with such early breast cancers.
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Affiliation(s)
- Solveig Hofvind
- Cancer Registry of Norway, Oslo, Norway.,Department of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway
| | - Gøril Knutsvik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | | | - Kaitlyn M Tsuruda
- Cancer Registry of Norway, Oslo, Norway.,Department of Biostatistics, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
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20
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Hofvind S, Moshina N, Holen ÅS, Danielsen AS, Lee CI, Houssami N, Aase HS, Akslen LA, Haldorsen IS. Interval and Subsequent Round Breast Cancer in a Randomized Controlled Trial Comparing Digital Breast Tomosynthesis and Digital Mammography Screening. Radiology 2021; 300:66-76. [PMID: 33973840 DOI: 10.1148/radiol.2021203936] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Prevalent digital breast tomosynthesis (DBT) has shown higher cancer detection rates and lower recall rates compared with those of digital mammography (DM). However, data are limited on rates and histopathologic tumor characteristics of interval and subsequent round screen-detected cancers for DBT. Purpose To follow women randomized to screening with DBT or DM and to investigate rates and tumor characteristics of interval and subsequent round screen-detected cancers. Materials and Methods To-Be is a randomized controlled trial comparing the outcome of DBT and DM in organized breast cancer screening. The trial included 28 749 women, with 22 306 women returning for subsequent DBT screening 2 years later (11 201 and 11 105 originally screened with DBT and DM, respectively). Differences in rates, means, and distribution of histopathologic tumor characteristics between women prevalently screened with DBT versus DM were evaluated with Z tests, t tests, and χ2 tests. Relative risk (RR) with 95% CIs was calculated for the cancer rates. Results Interval cancer rates were 1.4 per 1000 screens (20 of 14 380; 95% CI: 0.9, 2.1) for DBT versus 2.0 per 1000 screens (29 of 14 369; 95% CI: 1.4, 2.9; P = .20) for DM. The rates of subsequent round screen-detected cancer were 8.1 per 1000 (95% CI: 6.6, 10.0) for women originally screened with DBT and 9.1 per 1000 (95% CI: 7.4, 11.0; P = .43) for women screened with DM. The distribution of tumor characteristics did not differ between groups for either interval or subsequent screen-detected cancer. The RR of interval cancer was 0.69 (95% CI: 0.39, 1.22; P = .20) for DBT versus DM, whereas RR of subsequent screen-detected cancer for women prevalently screened with DBT versus DM was 0.89 (95% CI: 0.67, 1.19; P = .43). Conclusion Rates of interval or subsequent round screen-detected cancers and their tumor characteristics did not differ between women originally screened with digital breast tomosynthesis (DBT) versus digital mammography. The analysis suggests that the benefits of prevalent DBT screening did not come at the expense of worse downstream screening performance measures in a population-based screening program. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Taourel in this issue.
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Affiliation(s)
- Solveig Hofvind
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Nataliia Moshina
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Åsne S Holen
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Anders S Danielsen
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Christoph I Lee
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Nehmat Houssami
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Hildegunn S Aase
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Lars A Akslen
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
| | - Ingfrid S Haldorsen
- From the Cancer Registry of Norway, PO 5313, Maiorstuen, 0304 Oslo, Norway (S.H., N.M., Å.S.H., A.S.D.); Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway (S.H.); Department of Radiology, University of Washington School of Medicine, Seattle, Wash (C.I.L.); Department of Health Services, University of Washington School of Public Health, Seattle, Wash (C.I.L.); Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia (N.H.); Department of Radiology (H.S.A., I.S.H.), Department of Pathology (L.A.A.), and Mohn Medical Imaging and Visualization Centre (I.S.H.), Haukeland University Hospital, Bergen, Norway; and Department of Clinical Medicine (H.S.A., I.S.H.), Section for Pathology (L.A.A.), and Centre for Cancer Biomarkers CCBIO (L.A.A.), University of Bergen, Bergen, Norway
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21
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Strell C, Folkvaljon D, Holmberg E, Schiza A, Thurfjell V, Karlsson P, Bergh J, Bremer T, Akslen LA, Wärnberg F, Östman A. High PDGFRb Expression Predicts Resistance to Radiotherapy in DCIS within the SweDCIS Randomized Trial. Clin Cancer Res 2021; 27:3469-3477. [PMID: 33952629 DOI: 10.1158/1078-0432.ccr-20-4300] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/15/2021] [Accepted: 03/29/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE This study analyzes the potential of stromal platelet-derived growth factor receptor-beta (PDGFRb) expression as biomarker for radiotherapy (RT) benefit on ipsilateral breast events (IBE) in ductal carcinoma in situ (DCIS). Improved identification of DCIS patients refractory to adjuvant whole-breast RT is needed. Predictive biomarker studies in DCIS have focused on tumor cell features rather than the tumor-associated stroma, despite growing evidence of its influence on therapy efficiency. EXPERIMENTAL DESIGN Samples from the Swedish randomized radiotherapy DCIS trial (SweDCIS) were subjected to IHC analysis for stromal PDGFRb expression. IBE incidence at 10 years after breast-conserving surgery was the primary endpoint. Interactions between marker and treatment were analyzed. RESULTS PDGFRb score was predictive for RT benefit with regard to IBE (P interaction = 0.002 and P interaction = 0.008 adjusted multivariably). Patients of the PDGFRblow group had a strong benefit from RT regarding IBE risk [HR, 0.23; 95% confidence interval (CI), 0.12-0.45; P < 0.001] with an absolute risk reduction of 21% (cumulative risk 7% vs. 28%) at 10 years. No significant risk reduction by RT was observed for patients of the PDGFRbhigh group (HR, 0.83; 0.51-1.34; P = 0.444; cumulative risk 22% vs. 25%). The RT response-predictive effect of stromal PDGFRb was equally strong in analyses for in situ and invasive IBE when analyzed separately (in situ IBE: P = 0.029; invasive IBE: P = 0.044). CONCLUSIONS Results suggest high stromal PDGFRb expression as a novel biomarker identifying DCIS patients who are refractory to standard whole-breast adjuvant RT. The data imply previously unrecognized fibroblast-mediated modulation of radiosensitivity of DCIS, which should be further explored from mechanistic and targeting perspectives.
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Affiliation(s)
- Carina Strell
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.,Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Dick Folkvaljon
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.,Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Holmberg
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Aglaia Schiza
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Viktoria Thurfjell
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jonas Bergh
- Karolinska Institutet and Breast Cancer Section, Cancer Theme, Karolinska University Hospital, Department of Oncology and Pathology, Stockholm, Sweden.,Department of Public Health, Oxford University, Oxford, United Kingdom
| | | | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Fredrik Wärnberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Arne Östman
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. .,Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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22
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Børretzen A, Gravdal K, Haukaas SA, Mannelqvist M, Beisland C, Akslen LA, Halvorsen OJ. The epithelial-mesenchymal transition regulators Twist, Slug, and Snail are associated with aggressive tumour features and poor outcome in prostate cancer patients. J Pathol Clin Res 2021; 7:253-270. [PMID: 33605548 PMCID: PMC8073012 DOI: 10.1002/cjp2.202] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/22/2020] [Accepted: 01/08/2021] [Indexed: 12/17/2022]
Abstract
The prognostic importance of transcription factors promoting epithelial-mesenchymal transition (EMT) and angiogenesis has not been well explored in prostate cancer patients with long follow-up, nor the interplay between these factors. The objective of this study was to assess the individual protein expression and co-expression of Twist, Slug (Snai2), Snail (Snai1), and hypoxia-inducible factor-1 alpha (Hif-1α) in prostate cancer in relation to EMT, angiogenesis, hypoxia, tumour features, disease recurrence, and patient survival. Immunohistochemical staining was performed on tissue microarray sections from 338 radical prostatectomies with long follow-up. In addition, 41 cases of prostatic hyperplasia, 33 non-skeletal metastases, 13 skeletal metastases, and 33 castration-resistant prostate carcinomas were included. Our findings were validated in external gene expression data sets. Twist was overexpressed in primary prostate cancer and markedly reduced in distant metastases (p < 0.0005). Strong expression of Twist and Slug was associated with Hif-1α in localised prostate cancer (p ≤ 0.001), and strong Twist was associated with Hif-1α in castration-resistant carcinomas (p = 0.044). Twist, Slug, and increased Snail at the tumour stromal border were associated with vascular factors (p ≤ 0.045). Each of the three EMT-regulating transcription factors were associated with aggressive tumour features and shorter time to recurrence and cancer-specific death. Notably, the co-expression of factors demonstrated an enhanced influence on outcome. In the subgroup of E-cadherinlow carcinomas, strong Slug was associated with shorter time to all end points and was an independent predictor of time to multiple end points, including cancer-specific death (hazard ratio 3.0, p = 0.041). To conclude, we demonstrate an important relation between EMT, hypoxia, and angiogenesis and a strong link between the investigated EMT regulators and aggressive tumour features and poor patient outcome in prostate cancer. Despite the retrospective nature of this long-term study, our findings could have a significant impact on the future treatment of prostate cancer, where tailored therapies might be directed simultaneously against epithelial-mesenchymal phenotypes, angiogenesis, and tumour hypoxia.
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Affiliation(s)
- Astrid Børretzen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Karsten Gravdal
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Svein A Haukaas
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of UrologyHaukeland University HospitalBergenNorway
| | - Monica Mannelqvist
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical MedicineUniversity of BergenBergenNorway
| | - Christian Beisland
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of UrologyHaukeland University HospitalBergenNorway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Ole J Halvorsen
- Centre for Cancer Biomarkers CCBIO, Gade Laboratory for Pathology, Department of Clinical MedicineUniversity of BergenBergenNorway
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23
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Klingen TA, Chen Y, Aas H, Wik E, Akslen LA. Fibulin-2 expression associates with vascular invasion and patient survival in breast cancer. PLoS One 2021; 16:e0249767. [PMID: 33836007 PMCID: PMC8034712 DOI: 10.1371/journal.pone.0249767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 03/24/2021] [Indexed: 12/02/2022] Open
Abstract
Stromal elastosis is related to good prognosis in breast cancer and fibulin-2 helps to stabilize elastic fibers in basement membranes. Here, we examined the level of perivascular fibulin-2 expression in relation to elastosis content, vascular invasion, molecular subtypes, tumour detection mode, and patient prognosis in breast cancer. We performed a population based retrospective study of invasive breast cancers from the Norwegian Breast Screening Program (Vestfold County, 2004–2009) including 200 screen-detected and 82 interval cancers. Perivascular fibulin-2 staining was semi-quantitatively graded based on immunohistochemistry (1–3) and dichotomized as high expression (grade 2–3) and low expression (grade 1). Elastosis content was graded on a 4-tiered scale and dichotomized as high (score 3) and low (score 0–2) expression, whereas lymphatic (LVI) and blood vessel invasion (BVI) were recorded as absent or present by immunohistochemistry. High perivascular fibulin-2 expression was strongly related to stromal elastosis (p<0.001), and inversely associated with BVI and LVI (p<0.001 for both). High fibulin-2 was associated with luminal breast cancer subgroups (p<0.001) and inversely with interval cancers compared with screen-detected tumours (p<0.001). By univariate analysis, low perivascular fibulin-2 was associated with reduced recurrence-free survival (p = 0.002) and disease specific survival (p = 0.019). Low perivascular fibulin-2 expression was strongly related to vascular invasion, low stromal elastosis, non-luminal breast cancer subtypes, interval presentation, and adverse prognosis.
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Affiliation(s)
- Tor A. Klingen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
- Department of Pathology, Vestfold Hospital Trust, Tønsberg, Norway
| | - Ying Chen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
- Department of Pathology, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Hans Aas
- Department of Surgery, Vestfold Hospital Trust, Tønsberg, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- * E-mail: (LAA); (EW)
| | - Lars A. Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- * E-mail: (LAA); (EW)
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24
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Krüger K, Silwal-Pandit L, Wik E, Straume O, Stefansson IM, Borgen E, Garred Ø, Naume B, Engebraaten O, Akslen LA. Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer. Sci Rep 2021; 11:3388. [PMID: 33564016 PMCID: PMC7873274 DOI: 10.1038/s41598-021-81914-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 01/04/2021] [Indexed: 02/06/2023] Open
Abstract
A subset of breast cancer patients benefits from preoperative bevacizumab and chemotherapy, but validated predictive biomarkers are lacking. Here, we aimed to evaluate tissue-based angiogenesis markers for potential predictive value regarding response to neoadjuvant bevacizumab treatment in breast cancer. In this randomized 1:1 phase II clinical trial, 132 patients with large or locally advanced HER2-negative tumors received chemotherapy ± bevacizumab. Dual Factor VIII/Ki-67 immunohistochemical staining was performed on core needle biopsies at baseline and week 12. Microvessel density (MVD), proliferative microvessel density (pMVD; Factor VIII/Ki-67 co-expression), glomeruloid microvascular proliferation (GMP), and a gene expression angiogenesis signature score, were studied in relation to pathologic complete response (pCR), clinico-pathologic features and intrinsic molecular subtype. We found that high baseline MVD (by median) significantly predicted pCR in the bevacizumab-arm (odds ratio 4.9, P = 0.012). High pMVD, presence of GMP, and the angiogenesis signature score did not predict pCR, but were associated with basal-like (P ≤ 0.009) and triple negative phenotypes (P ≤ 0.041). pMVD and GMP did also associate with high-grade tumors (P ≤ 0.048). To conclude, high baseline MVD significantly predicted response to bevacizumab treatment. In contrast, pMVD, GMP, and the angiogenesis signature score, did not predict response, but associated with aggressive tumor features, including basal-like and triple-negative phenotypes.
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Affiliation(s)
- Kristi Krüger
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Laxmi Silwal-Pandit
- Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Surgery and Transplantation, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, Haukeland University Hospital, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Oddbjørn Straume
- Department of Oncology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, Section for Oncology, University of Bergen, Bergen, Norway
| | - Ingunn M Stefansson
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, Haukeland University Hospital, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Elin Borgen
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Øystein Garred
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Bjørn Naume
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Olav Engebraaten
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, Haukeland University Hospital, University of Bergen, Bergen, Norway. .,Department of Pathology, Haukeland University Hospital, Bergen, Norway.
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25
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Engelsen AST, Wnuk-Lipinska K, Bougnaud S, Pelissier Vatter FA, Tiron C, Villadsen R, Miyano M, Lotsberg ML, Madeleine N, Panahandeh P, Dhakal S, Tan TZ, Peters SD, Grøndal S, Aziz SM, Nord S, Herfindal L, Stampfer MR, Sørlie T, Brekken RA, Straume O, Halberg N, Gausdal G, Thiery JP, Akslen LA, Petersen OW, LaBarge MA, Lorens JB. AXL Is a Driver of Stemness in Normal Mammary Gland and Breast Cancer. iScience 2020; 23:101649. [PMID: 33103086 PMCID: PMC7578759 DOI: 10.1016/j.isci.2020.101649] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 08/03/2020] [Accepted: 10/02/2020] [Indexed: 12/17/2022] Open
Abstract
The receptor tyrosine kinase AXL is associated with epithelial plasticity in several solid tumors including breast cancer and AXL-targeting agents are currently in clinical trials. We hypothesized that AXL is a driver of stemness traits in cancer by co-option of a regulatory function normally reserved for stem cells. AXL-expressing cells in human mammary epithelial ducts co-expressed markers associated with multipotency, and AXL inhibition abolished colony formation and self-maintenance activities while promoting terminal differentiation in vitro. Axl-null mice did not exhibit a strong developmental phenotype, but enrichment of Axl + cells was required for mouse mammary gland reconstitution upon transplantation, and Axl-null mice had reduced incidence of Wnt1-driven mammary tumors. An AXL-dependent gene signature is a feature of transcriptomes in basal breast cancers and reduced patient survival irrespective of subtype. Our interpretation is that AXL regulates access to epithelial plasticity programs in MaSCs and, when co-opted, maintains acquired stemness in breast cancer cells.
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Affiliation(s)
- Agnete S T Engelsen
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,INSERM UMR 1186, Integrative Tumor Immunology and Genetic Oncology, Gustave Roussy Cancer Campus Grand Paris, 94800 Villejuif, France
| | | | - Sebastien Bougnaud
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway
| | - Fanny A Pelissier Vatter
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway
| | - Crina Tiron
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - René Villadsen
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Copenhagen N 2200, Denmark
| | - Masaru Miyano
- Biolgical Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.,Department of Population Sciences, Beckman Research Institute at City of Hope, Duarte, CA 91910, USA
| | - Maria L Lotsberg
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway
| | - Noëlly Madeleine
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Pouda Panahandeh
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Sushil Dhakal
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Tuan Zea Tan
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | | | - Sturla Grøndal
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Sura M Aziz
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,Department of Pathology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Silje Nord
- Department of Cancer Research, Oslo University Hospital, 0310 Oslo, Norway
| | - Lars Herfindal
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Martha R Stampfer
- Biolgical Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Therese Sørlie
- Department of Cancer Research, Oslo University Hospital, 0310 Oslo, Norway
| | - Rolf A Brekken
- Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Oddbjørn Straume
- Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,Department of Oncology and Medical Physics, Haukeland University Hospital, 5021 Bergen, Norway
| | - Nils Halberg
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Gro Gausdal
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway
| | - Jean Paul Thiery
- Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,INSERM UMR 1186, Integrative Tumor Immunology and Genetic Oncology, Gustave Roussy Cancer Campus Grand Paris, 94800 Villejuif, France.,Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, A-STAR, Singapore 138673, Singapore.,Bioland Laboratory, Guangzhou Regenerative Medicine and Health, Bio-island, Guangzhou, 510320, China
| | - Lars A Akslen
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,Department of Pathology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Ole W Petersen
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Copenhagen N 2200, Denmark.,Novo Nordisk Foundation Center for Stem Cell Biology, University of Copenhagen, Copenhagen, Copenhagen N 2200, Denmark
| | - Mark A LaBarge
- Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway.,Biolgical Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.,Department of Population Sciences, Beckman Research Institute at City of Hope, Duarte, CA 91910, USA
| | - James B Lorens
- Department of Biomedicine, University of Bergen, 5021 Bergen, Norway.,Centre for Cancer Biomarkers, University of Bergen, 5021 Bergen, Norway
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26
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Seo MK, Straume O, Akslen LA, Cairns J. HSP27 Expression as a Novel Predictive Biomarker for Bevacizumab: is it Cost Effective? Pharmacoecon Open 2020; 4:529-539. [PMID: 31989465 PMCID: PMC7426343 DOI: 10.1007/s41669-019-00193-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND Despite the extensive use of bevacizumab in a range of oncology indications, the US FDA revoked its approval for breast cancers, and multiple negative trials in several solid malignancies have been reported, so the need for predictive biomarkers has increased. The development of predictive biomarkers for anti-angiogenic bevacizumab therapy has long been pursued but without success. INTRODUCTION Heat shock protein (HSP)-27 expression has recently been identified as a predictive biomarker for bevacizumab in treating metastatic melanoma. This study aimed to evaluate the cost effectiveness of HSP27 biomarker testing before administration of bevacizumab. METHODS A partitioned survival analysis model with three mutually exclusive health states (progression-free survival, progressed disease, and death) was developed using a Norwegian health system perspective. The proportion of patients in each state was calculated using the area under the Kaplan-Meier curve for progression-free and overall survival derived from trials of bevacizumab and dacarbazine. Three strategies were compared: (1) test-treat with HSP27 biomarker and bevacizumab, (2) treat-all with dacarbazine without HSP27 testing, (3) treat-all with bevacizumab without HSP27 testing. Quality-adjusted life-years (QALYs) and costs were calculated for each strategy and discounted at 4%. A lifetime horizon was applied. Uncertainty analyses were performed. Expected value of perfect information (EVPI) was estimated to assess the potential value of further research to generate more evidence. RESULTS Although the test-treat strategy was cost effective compared with treat-all with dacarbazine, it was not cost effective compared with treat-all with bevacizumab without HSP27 testing. However, EVPI results showed very minimal or no value in conducting further research efforts to reduce uncertainties around current information. CONCLUSION The results of this study suggested that testing for HSP27 expression before administering bevacizumab is not cost effective compared with treat-all with bevacizumab without testing. It indicates that HSP27 expression is not cost effective as a potential predictive biomarker for bevacizumab. This may not necessarily mean that HSP27 is a bad biomarker for bevacizumab, but it may mean that bevacizumab is much better than dacarbazine regardless of HSP27 expression, so patient stratification according to HSP27 status is meaningless. Or, indeed, it may imply that HSP27 is not sufficiently good at identifying the right patients for bevacizumab.
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Affiliation(s)
- Mikyung Kelly Seo
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway.
| | - Oddbjørn Straume
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - John Cairns
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
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27
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Lofterød T, Frydenberg H, Flote V, Eggen AE, McTiernan A, Mortensen ES, Akslen LA, Reitan JB, Wilsgaard T, Thune I. Exploring the effects of lifestyle on breast cancer risk, age at diagnosis, and survival: the EBBA-Life study. Breast Cancer Res Treat 2020; 182:215-227. [PMID: 32436147 PMCID: PMC7275030 DOI: 10.1007/s10549-020-05679-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 05/09/2020] [Indexed: 12/13/2022]
Abstract
Purpose Whether an unfavorable lifestyle not only affects breast cancer risk, but also influences age at onset of breast cancer and survival, is under debate. Methods In a population-based cohort, the Energy Balance and Breast Cancer Aspects throughout life (EBBA-Life) study, a total of 17,145 women were included. During follow-up, 574 women developed invasive breast cancer. Breast cancer cases were followed for an additional 9.1 years. Detailed medical records were obtained. Cox’s proportional hazard regression models were used to study the association between pre-diagnostic lifestyle factors (weight, physical activity, alcohol use, smoking, and hypertension), breast cancer risk, age at diagnosis, and survival. Results At study entry, 34.3% of the participating women were overweight and 30.7% were physically inactive. Mean age at breast cancer diagnosis was 58.0 years, and 78.9% of the tumors were estrogen receptor positive. Among menopausal women who did not use hormone therapy and had an unfavorable lifestyle (3–5 unfavorable factors), compared with women who had a favorable lifestyle, we observed a twofold higher risk for postmenopausal breast cancer (hazard ratio [HR] 2.13, 95% confidence interval [CI] 1.23–3.69), and they were 3.4 years younger at diagnosis (64.8 versus 68.2 years, P = 0.032). Breast cancer patients with an unfavorable lifestyle, compared with patients with a favorable lifestyle, had almost a two times higher overall mortality risk (HR 1.96, 95% CI 1.01–3.80). Conclusions Our study supports a healthy lifestyle improving breast cancer prevention, postponing onset of disease, and extending life expectancy among breast cancer patients. Electronic supplementary material The online version of this article (10.1007/s10549-020-05679-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Trygve Lofterød
- Department of Oncology, Oslo University Hospital, Oslo, Norway.
| | | | - Vidar Flote
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Anne Elise Eggen
- Faculty of Health Services, Institute of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Anne McTiernan
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Elin S Mortensen
- Department of Pathology, University Hospital of North Norway, Tromsø, Norway
| | - Lars A Akslen
- Department of Clinical Medicine, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Jon B Reitan
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Tom Wilsgaard
- Faculty of Health Services, Institute of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Inger Thune
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Faculty of Health Services, Institute of Clinical Medicine, University of Tromsø, Tromsø, Norway
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28
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Landi MT, Bishop DT, MacGregor S, Machiela MJ, Stratigos AJ, Ghiorzo P, Brossard M, Calista D, Choi J, Fargnoli MC, Zhang T, Rodolfo M, Trower AJ, Menin C, Martinez J, Hadjisavvas A, Song L, Stefanaki I, Scolyer R, Yang R, Goldstein AM, Potrony M, Kypreou KP, Pastorino L, Queirolo P, Pellegrini C, Cattaneo L, Zawistowski M, Gimenez-Xavier P, Rodriguez A, Elefanti L, Manoukian S, Rivoltini L, Smith BH, Loizidou MA, Del Regno L, Massi D, Mandala M, Khosrotehrani K, Akslen LA, Amos CI, Andresen PA, Avril MF, Azizi E, Soyer HP, Bataille V, Dalmasso B, Bowdler LM, Burdon KP, Chen WV, Codd V, Craig JE, Dębniak T, Falchi M, Fang S, Friedman E, Simi S, Galan P, Garcia-Casado Z, Gillanders EM, Gordon S, Green A, Gruis NA, Hansson J, Harland M, Harris J, Helsing P, Henders A, Hočevar M, Höiom V, Hunter D, Ingvar C, Kumar R, Lang J, Lathrop GM, Lee JE, Li X, Lubiński J, Mackie RM, Malt M, Malvehy J, McAloney K, Mohamdi H, Molven A, Moses EK, Neale RE, Novaković S, Nyholt DR, Olsson H, Orr N, Fritsche LG, Puig-Butille JA, Qureshi AA, Radford-Smith GL, Randerson-Moor J, Requena C, Rowe C, Samani NJ, Sanna M, Schadendorf D, Schulze HJ, Simms LA, Smithers M, Song F, Swerdlow AJ, van der Stoep N, Kukutsch NA, Visconti A, Wallace L, Ward SV, Wheeler L, Sturm RA, Hutchinson A, Jones K, Malasky M, Vogt A, Zhou W, Pooley KA, Elder DE, Han J, Hicks B, Hayward NK, Kanetsky PA, Brummett C, Montgomery GW, Olsen CM, Hayward C, Dunning AM, Martin NG, Evangelou E, Mann GJ, Long G, Pharoah PDP, Easton DF, Barrett JH, Cust AE, Abecasis G, Duffy DL, Whiteman DC, Gogas H, De Nicolo A, Tucker MA, Newton-Bishop JA, Peris K, Chanock SJ, Demenais F, Brown KM, Puig S, Nagore E, Shi J, Iles MM, Law MH. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility. Nat Genet 2020; 52:494-504. [PMID: 32341527 PMCID: PMC7255059 DOI: 10.1038/s41588-020-0611-8] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 03/09/2020] [Indexed: 12/17/2022]
Abstract
Most genetic susceptibility to cutaneous melanoma remains to be discovered. Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 × 10-8) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and host factors suggests the acral melanoma subtype is uniquely unrelated to pigmentation. Combining this meta-analysis with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 potential secondary loci for a total of 85 cutaneous melanoma susceptibility loci. These findings provide insights into cutaneous melanoma genetic architecture, reinforcing the importance of nevogenesis, pigmentation and telomere maintenance, together with identifying potential new pathways for cutaneous melanoma pathogenesis.
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Affiliation(s)
- Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alexander J Stratigos
- Department of Dermatology, Andreas Syggros Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Paola Ghiorzo
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Myriam Brossard
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Donato Calista
- Department of Dermatology, Maurizio Bufalini Hospital, Cesena, Italy
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Concetta Fargnoli
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Monica Rodolfo
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Adam J Trower
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Chiara Menin
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Andreas Hadjisavvas
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene Stefanaki
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Richard Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
- Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- New South Wales Health Pathology, Sydney, New South Wales, Australia
| | - Rose Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Miriam Potrony
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Katerina P Kypreou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Lorenza Pastorino
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Paola Queirolo
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristina Pellegrini
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Laura Cattaneo
- Pathology Unit, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pol Gimenez-Xavier
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Arantxa Rodriguez
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Lisa Elefanti
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Licia Rivoltini
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Maria A Loizidou
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Laura Del Regno
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Daniela Massi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Mario Mandala
- Department of Oncology, Giovanni XXIII Hospital, Bergamo, Italy
| | - Kiarash Khosrotehrani
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Christopher I Amos
- Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Per A Andresen
- Department of Pathology, Molecular Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Marie-Françoise Avril
- Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Service de Dermatologie, Université Paris Descartes, Paris, France
| | - Esther Azizi
- Department of Dermatology, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv, Israel
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Peter Soyer
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Bruna Dalmasso
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Lisa M Bowdler
- Sample Processing, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Wei V Chen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Tadeusz Dębniak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eitan Friedman
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sarah Simi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Pilar Galan
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Institut National de la Santé et de la Recherche Médicale (INSERM U1153), Institut National de la Recherche Agronomique (INRA U1125), Conservatoire National des Arts et Métiers, Communauté d'Université Sorbonne Paris Cité, Bobigny, France
| | - Zaida Garcia-Casado
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Elizabeth M Gillanders
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Adele Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- CRUK Manchester Institute, Institute of Inflammation and Repair, University of Manchester, Manchester, UK
| | - Nelleke A Gruis
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Johan Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Mark Harland
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Jessica Harris
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Per Helsing
- Department of Dermatology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Anjali Henders
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Marko Hočevar
- Department of Surgical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Veronica Höiom
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - David Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, Lund, Sweden
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Julie Lang
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
| | - G Mark Lathrop
- McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Jan Lubiński
- International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Rona M Mackie
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
- Department of Public Health, University of Glasgow, Glasgow, UK
| | - Maryrose Malt
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Josep Malvehy
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Kerrie McAloney
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamida Mohamdi
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Anders Molven
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Eric K Moses
- Centre for Genetic Origins of Health and Disease, Faculty of Medicine, Dentistry and Health Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Rachel E Neale
- Cancer Aetiology & Prevention, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Srdjan Novaković
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Dale R Nyholt
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Håkan Olsson
- Department of Oncology/Pathology, Clinical Sciences, Lund University, Lund, Sweden
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nicholas Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Lars G Fritsche
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Joan Anton Puig-Butille
- Biochemistry and Molecular Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona,CIBERER, Barcelona, Spain
| | - Abrar A Qureshi
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Graham L Radford-Smith
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Department of Gastroenterology and Hepatology, Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia
- University of Queensland School of Medicine, Herston Campus, Brisbane, Queensland, Australia
| | | | - Celia Requena
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Casey Rowe
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Marianna Sanna
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany
- German Consortium Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Hans-Joachim Schulze
- Department of Dermatology, Fachklinik Hornheide, Institute for Tumors of the Skin, University of Münster, Münster, Germany
| | - Lisa A Simms
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mark Smithers
- Queensland Melanoma Project, Princess Alexandra Hospital, The University of Queensland, St Lucia, Queensland, Australia
- Mater Research Institute, The University of Queensland, St Lucia, Queensland, Australia
| | - Fengju Song
- Departments of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P. R. China
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Nienke van der Stoep
- Department of Clinical Genetics, Center of Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Nicole A Kukutsch
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Alessia Visconti
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Leanne Wallace
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah V Ward
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lawrie Wheeler
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Michael Malasky
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Aurelie Vogt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Karen A Pooley
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - David E Elder
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Nicholas K Hayward
- Oncogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Chad Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Catherine M Olsen
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Graham J Mann
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Centre for Cancer Research, Westmead Institute for Medical Research, Sydney, Australia
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Georgina Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Anne E Cust
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, Sydney, Australia
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - David L Duffy
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - David C Whiteman
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Helen Gogas
- First Department of Internal Medicine, Laikon General Hospital Greece, National and Kapodistrian University of Athens, Athens, Greece
| | - Arcangela De Nicolo
- Cancer Genomics Program, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Ketty Peris
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Florence Demenais
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
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Tsuruda KM, Hofvind S, Akslen LA, Hoff SR, Veierød MB. Terminal digit preference: a source of measurement error in breast cancer diameter reporting. Acta Oncol 2020; 59:260-267. [PMID: 31566467 DOI: 10.1080/0284186x.2019.1669817] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objectives: Women diagnosed with breast cancer are offered treatment and therapy based on tumor characteristics, including tumor diameter. There is scarce knowledge whether tumor diameter is accurately reported, or whether it is unconsciously rounded to the nearest half-centimeter (terminal digit preference). This study aimed to assess the precision (number of digits) of breast cancer tumor diameters and whether they are affected by terminal digit preference. Furthermore, we aimed to assess the agreement between mammographic and histopathologic tumor diameter measurements.Material and Methods: This national registry study included reported mammographic and registered histopathologic tumor diameter information from the Cancer Registry of Norway for invasive breast cancers diagnosed during 2012-2016. Terminal digit preference was assessed using histograms. Agreement between mammographic and histopathologic measurements was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots.Results: Mammographic, histopathologic, or both tumor measurements were available for 7792, 13,541 and 6865 cases, respectively. All mammographic and 97.2% of histopathologic tumor diameters were recorded using whole mm. Terminal digits of zero or five were observed among 38.7% and 34.8% of mammographic and histopathologic measurements, respectively. There was moderate agreement between the two measurement methods (ICC = 0.52, 95% CI: 0.50-0.53). On average, mammographic measurements were 1.26 mm larger (95% limits of agreement: -22.29-24.73) than histopathologic measurements. This difference increased with increasing tumor size.Conclusion: Terminal digit preference was evident among breast cancer tumor diameters in this nationwide study. Further studies are needed to investigate the potential extent of under-staging and under-treatment resulting from this measurement error.
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Affiliation(s)
- Kaitlyn M. Tsuruda
- Cancer Registry of Norway, Oslo, Norway
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Solveig Hofvind
- Cancer Registry of Norway, Oslo, Norway
- Faculty of Health Sciences, Department of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway
| | - Lars A. Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Solveig R. Hoff
- Department of Radiology, Aalesund Hospital, Aalesund, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marit B. Veierød
- Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Oslo, Norway
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Lotsberg ML, Wnuk-Lipinska K, Terry S, Tan TZ, Lu N, Trachsel-Moncho L, Røsland GV, Siraji MI, Hellesøy M, Rayford A, Jacobsen K, Ditzel HJ, Vintermyr OK, Bivona TG, Minna J, Brekken RA, Baguley B, Micklem D, Akslen LA, Gausdal G, Simonsen A, Thiery JP, Chouaib S, Lorens JB, Engelsen AST. AXL Targeting Abrogates Autophagic Flux and Induces Immunogenic Cell Death in Drug-Resistant Cancer Cells. J Thorac Oncol 2020; 15:973-999. [PMID: 32018052 PMCID: PMC7397559 DOI: 10.1016/j.jtho.2020.01.015] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/29/2019] [Accepted: 01/19/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Acquired cancer therapy resistance evolves under selection pressure of immune surveillance and favors mechanisms that promote drug resistance through cell survival and immune evasion. AXL receptor tyrosine kinase is a mediator of cancer cell phenotypic plasticity and suppression of tumor immunity, and AXL expression is associated with drug resistance and diminished long-term survival in a wide range of malignancies, including NSCLC. METHODS We aimed to investigate the mechanisms underlying AXL-mediated acquired resistance to first- and third-generation small molecule EGFR tyrosine kinase inhibitors (EGFRi) in NSCLC. RESULTS We found that EGFRi resistance was mediated by up-regulation of AXL, and targeting AXL reduced reactivation of the MAPK pathway and blocked onset of acquired resistance to long-term EGFRi treatment in vivo. AXL-expressing EGFRi-resistant cells revealed phenotypic and cell signaling heterogeneity incompatible with a simple bypass signaling mechanism, and were characterized by an increased autophagic flux. AXL kinase inhibition by the small molecule inhibitor bemcentinib or siRNA mediated AXL gene silencing was reported to inhibit the autophagic flux in vitro, bemcentinib treatment blocked clonogenicity and induced immunogenic cell death in drug-resistant NSCLC in vitro, and abrogated the transcription of autophagy-associated genes in vivo. Furthermore, we found a positive correlation between AXL expression and autophagy-associated gene signatures in a large cohort of human NSCLC (n = 1018). CONCLUSION Our results indicate that AXL signaling supports a drug-resistant persister cell phenotype through a novel autophagy-dependent mechanism and reveals a unique immunogenic effect of AXL inhibition on drug-resistant NSCLC cells.
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Affiliation(s)
- Maria L Lotsberg
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Department of Biomedicine, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Katarzyna Wnuk-Lipinska
- Department of Biomedicine, University of Bergen, Bergen, Norway; BerGenBio ASA, Bergen, Norway
| | - Stéphane Terry
- INSERM UMR 1186, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Ning Lu
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Laura Trachsel-Moncho
- Department of Molecular Medicine, Institute of Basic Medical Sciences and Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gro V Røsland
- Department of Biomedicine, University of Bergen, Bergen, Norway; Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | | | | | - Austin Rayford
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Kirstine Jacobsen
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Henrik J Ditzel
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark; Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Olav K Vintermyr
- Department of Pathology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Trever G Bivona
- Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - John Minna
- Hamon Center for Therapeutic Oncology Research, Simmons Comprehensive Cancer Center, Departments of Surgery, Pharmacology and Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Rolf A Brekken
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Hamon Center for Therapeutic Oncology Research, Simmons Comprehensive Cancer Center, Departments of Surgery, Pharmacology and Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Bruce Baguley
- Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | | | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway; Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | | | - Anne Simonsen
- Department of Molecular Medicine, Institute of Basic Medical Sciences and Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jean Paul Thiery
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; INSERM UMR 1186, Gustave Roussy, Université Paris-Saclay, Villejuif, France; Cancer Science Institute of Singapore, National University of Singapore, Singapore; Biomedical Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, A-STAR, Singapore; Guangzhou Institutes of Biomedicine and Health, Guangzhou, People's Republic of China; Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, Hong Kong University, Hong Kong
| | - Salem Chouaib
- Department of Pathology, Haukeland University Hospital, Bergen, Norway; Thumbay Research Institute for Precision Medicine, GMU Ajman, United Arab Emirates
| | - James B Lorens
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Agnete Svendsen Tenfjord Engelsen
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway; Department of Biomedicine, University of Bergen, Bergen, Norway; INSERM UMR 1186, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
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31
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Reisæter LAR, Halvorsen OJ, Beisland C, Honoré A, Gravdal K, Losnegård A, Monssen J, Akslen LA, Biermann M. Assessing Extraprostatic Extension with Multiparametric MRI of the Prostate: Mehralivand Extraprostatic Extension Grade or Extraprostatic Extension Likert Scale? Radiol Imaging Cancer 2020; 2:e190071. [PMID: 33778694 DOI: 10.1148/rycan.2019190071] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 10/04/2019] [Accepted: 10/21/2019] [Indexed: 01/22/2023]
Abstract
Purpose To validate the MRI grading system proposed by Mehralivand et al in 2019 (the "extraprostatic extension [EPE] grade") in an independent cohort and to compare the Mehralivand EPE grading system with EPE interpretation on the basis of a five-point Likert score ("EPE Likert"). Materials and Methods A total of 310 consecutive patients underwent multiparametric MRI according to a standardized institutional protocol before radical prostatectomy was performed by using the same 1.5-T MRI unit at a single institution between 2010 and 2012. Two radiologists blinded to clinical information assessed EPE according to standardized criteria. On the basis of the readings performed until 2017, the diagnostic performance of EPE Likert and Mehralivand EPE score were compared using receiver operating characteristics (ROC) and decision curve methodology against histologic EPE as standard of reference. Prediction of biochemical recurrence-free survival (BRFS) was assessed by Kaplan-Meier analysis and log rank test. Results Of the 310 patients, 80 patients (26%) had EPE, including 33 with radial distance 1.1 mm or greater. Interrater reliability was fair (weighted κ 0.47 and 0.45) for both EPE grade and EPE Likert. Sensitivity for identifying EPE using EPE grade versus EPE Likert was 0.83 versus 0.86 and 0.86 versus 0.91 for radiologist 1 and 2, respectively. Specificity was 0.48 versus 0.58 and 0.39 versus 0.70 (P < .05 for radiologist 2). There were no significant differences in the ROC area under the curve or on decision curve analysis. Both EPE grade and EPE Likert were significant predictors of BRFS. Conclusion Mehralivand EPE grade and EPE Likert have equivalent diagnostic performance for predicting EPE and BRFS with a similar degree of observer dependence.© RSNA, 2020Keywords: MR-Imaging, Neoplasms-Primary, Observer Performance, Outcomes Analysis, Prostate, StagingSupplemental material is available for this article.See also the commentary by Choyke in this issue.
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Affiliation(s)
- Lars A R Reisæter
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Ole J Halvorsen
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Christian Beisland
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Alfred Honoré
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Karsten Gravdal
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Are Losnegård
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Jan Monssen
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Lars A Akslen
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
| | - Martin Biermann
- Departments of Radiology (L.A.R.R., A.L., J.M., M.B.), Pathology (O.J.H., K.G., L.A.A.), and Urology (C.B., A.H.), Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine (L.A.R.R., C.B., A.L., M.B.) and Centre for Cancer Biomarkers CCBIO (O.J.H., L.A.A.), University of Bergen, Jonas Liesvei 65, N-5021 Bergen, Norway
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Lende TH, Austdal M, Bathen TF, Varhaugvik AE, Skaland I, Gudlaugsson E, Egeland NG, Lunde S, Akslen LA, Jonsdottir K, Janssen EAM, Søiland H, Baak JPA. Metabolic consequences of perioperative oral carbohydrates in breast cancer patients - an explorative study. BMC Cancer 2019; 19:1183. [PMID: 31801490 PMCID: PMC6894229 DOI: 10.1186/s12885-019-6393-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 11/21/2019] [Indexed: 12/21/2022] Open
Abstract
Background The metabolic consequences of preoperative carbohydrate load in breast cancer patients are not known. The present explorative study investigated the systemic and tumor metabolic changes after preoperative per-oral carbohydrate load and their influence on tumor characteristics and survival. Methods The study setting was on university hospital level with primary and secondary care functions in south-west Norway. Serum and tumor tissue were sampled from a population-based cohort of 60 patients with operable breast cancer who were randomized to either per-oral carbohydrate load (preOp™; n = 25) or standard pre-operative fasting (n = 35) before surgery. Magnetic resonance (MR) metabolomics was performed on serum samples from all patients and high-resolution magic angle spinning (HR-MAS) MR analysis on 13 tumor samples available from the fasting group and 16 tumor samples from the carbohydrate group. Results Fourteen of 28 metabolites were differently expressed between fasting and carbohydrate groups. Partial least squares discriminant analysis showed a significant difference in the metabolic profile between the fasting and carbohydrate groups, compatible with the endocrine effects of insulin (i.e., increased serum-lactate and pyruvate and decreased ketone bodies and amino acids in the carbohydrate group). Among ER-positive tumors (n = 18), glutathione was significantly elevated in the carbohydrate group compared to the fasting group (p = 0.002), with a positive correlation between preoperative S-insulin levels and the glutathione content in tumors (r = 0.680; p = 0.002). In all tumors (n = 29), glutamate was increased in tumors with high proliferation (t-test; p = 0.009), independent of intervention group. Moreover, there was a positive correlation between tumor size and proliferation markers in the carbohydrate group only. Patients with ER-positive / T2 tumors and high tumor glutathione (≥1.09), high S-lactate (≥56.9), and high S-pyruvate (≥12.5) had inferior clinical outcomes regarding relapse-free survival, breast cancer-specific survival, and overall survival. Moreover, Integrated Pathway Analysis (IPA) in serum revealed activation of five major anabolic metabolic networks contributing to proliferation and growth. Conclusions Preoperative carbohydrate load increases systemic levels of lactate and pyruvate and tumor levels of glutathione and glutamate in ER-positive patients. These biological changes may contribute to the inferior clinical outcomes observed in luminal T2 breast cancer patients. Trial of registration ClinicalTrials.gov; NCT03886389. Retrospectively registered March 22, 2019.
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Affiliation(s)
- Tone Hoel Lende
- Department of Breast & Endocrine Surgery, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway. .,Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway.
| | - Marie Austdal
- Department of Research, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Tone Frost Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Elin Varhaugvik
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Pathology, Helse Møre og Romsdal, Ålesund, Norway
| | - Ivar Skaland
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Einar Gudlaugsson
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Nina G Egeland
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, P.O. Box 8600 Forus, N-4036, Stavanger, Norway
| | - Siri Lunde
- Department of Breast & Endocrine Surgery, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway
| | - Kristin Jonsdottir
- Department of Research, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Emiel A M Janssen
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, P.O. Box 8600 Forus, N-4036, Stavanger, Norway
| | - Håvard Søiland
- Department of Breast & Endocrine Surgery, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Clinical Science, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway
| | - Jan P A Baak
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Dr. Med. Jan Baak AS, Risavegen 66, N-4056, Tananger, Norway
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Smeland HYH, Askeland C, Wik E, Knutsvik G, Molven A, Edelmann RJ, Reed RK, Warren DJ, Gullberg D, Stuhr L, Akslen LA. Integrin α11β1 is expressed in breast cancer stroma and associates with aggressive tumor phenotypes. J Pathol Clin Res 2019; 6:69-82. [PMID: 31605508 PMCID: PMC6966706 DOI: 10.1002/cjp2.148] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 09/05/2019] [Accepted: 09/16/2019] [Indexed: 12/24/2022]
Abstract
Cancer‐associated fibroblasts are essential modifiers of the tumor microenvironment. The collagen‐binding integrin α11β1 has been proposed to be upregulated in a pro‐tumorigenic subtype of cancer‐associated fibroblasts. Here, we analyzed the expression and clinical relevance of integrin α11β1 in a large breast cancer series using a novel antibody against the human integrin α11 chain. Several novel monoclonal antibodies against the integrin α11 subunit were tested for use on formalin‐fixed paraffin‐embedded tissues, and Ab 210F4B6A4 was eventually selected to investigate the immunohistochemical expression in 392 breast cancers using whole sections. mRNA data from METABRIC and co‐expression patterns of integrin α11 in relation to αSMA and cytokeratin‐14 were also investigated. Integrin α11 was expressed to varying degrees in spindle‐shaped cells in the stroma of 99% of invasive breast carcinomas. Integrin α11 co‐localized with αSMA in stromal cells, and with αSMA and cytokeratin‐14 in breast myoepithelium. High stromal integrin α11 expression (66% of cases) was associated with aggressive breast cancer features such as high histologic grade, increased tumor cell proliferation, ER negativity, HER2 positivity, and triple‐negative phenotype, but was not associated with breast cancer specific survival at protein or mRNA levels. In conclusion, high stromal integrin α11 expression was associated with aggressive breast cancer phenotypes.
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Affiliation(s)
- Hilde Ytre-Hauge Smeland
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Centre for Cancer Biomarkers CCBIO, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Cecilie Askeland
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Gøril Knutsvik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Anders Molven
- Department of Pathology, Haukeland University Hospital, Bergen, Norway.,Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Reidunn J Edelmann
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Rolf K Reed
- Centre for Cancer Biomarkers CCBIO, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - David J Warren
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Donald Gullberg
- Centre for Cancer Biomarkers CCBIO, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Linda Stuhr
- Centre for Cancer Biomarkers CCBIO, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
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Lende TH, Austdal M, Varhaugvik AE, Skaland I, Gudlaugsson E, Kvaløy JT, Akslen LA, Søiland H, Janssen EAM, Baak JPA. Influence of pre-operative oral carbohydrate loading vs. standard fasting on tumor proliferation and clinical outcome in breast cancer patients ─ a randomized trial. BMC Cancer 2019; 19:1076. [PMID: 31703648 PMCID: PMC6842165 DOI: 10.1186/s12885-019-6275-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 10/18/2019] [Indexed: 12/18/2022] Open
Abstract
Background Conflicting results have been reported on the influence of carbohydrates in breast cancer. Objective To determine the influence of pre-operative per-oral carbohydrate load on proliferation in breast tumors. Design Randomized controlled trial. Setting University hospital with primary and secondary care functions in South-West Norway. Patients Sixty-one patients with operable breast cancer from a population-based cohort. Intervention Per-oral carbohydrate load (preOp™) 18 and 2–4 h before surgery (n = 26) or standard pre-operative fasting with free consumption of tap water (n = 35). Measurements The primary outcome was post-operative tumor proliferation measured by the mitotic activity index (MAI). The secondary outcomes were changes in the levels of serum insulin, insulin-c-peptide, glucose, IGF-1, and IGFBP3; patients’ well-being, and clinical outcome over a median follow-up of 88 months (range 33–97 months). Results In the estrogen receptor (ER) positive subgroup (n = 50), high proliferation (MAI ≥ 10) occurred more often in the carbohydrate group (CH) than in the fasting group (p = 0.038). The CH group was more frequently progesterone receptor (PR) negative (p = 0.014). The CH group had a significant increase in insulin (+ 24.31 mIE/L, 95% CI 15.34 mIE/L to 33.27 mIE/L) and insulin c-peptide (+ 1.39 nM, 95% CI 1.03 nM to 1.77 nM), but reduced IGFBP3 levels (− 0.26 nM; 95% CI − 0.46 nM to − 0.051 nM) compared to the fasting group. CH-intervention ER-positive patients had poorer relapse-free survival (73%) than the fasting group (100%; p = 0.012; HR = 9.3, 95% CI, 1.1 to 77.7). In the ER-positive patients, only tumor size (p = 0.021; HR = 6.07, 95% CI 1.31 to 28.03) and the CH/fasting subgrouping (p = 0.040; HR = 9.30, 95% CI 1.11 to 77.82) had independent prognostic value. The adverse clinical outcome of carbohydrate loading occurred only in T2 patients with relapse-free survival of 100% in the fasting group vs. 33% in the CH group (p = 0.015; HR = inf). The CH group reported less pain on days 5 and 6 than the control group (p < 0.001) but otherwise exhibited no factors related to well-being. Limitation Only applicable to T2 tumors in patients with ER-positive breast cancer. Conclusions Pre-operative carbohydrate load increases proliferation and PR-negativity in ER-positive patients and worsens clinical outcome in ER-positive T2 patients. Trial registration CliniTrials.gov; NCT03886389. Retrospectively registered March 22, 2019.
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Affiliation(s)
- Tone Hoel Lende
- Department of Breast & Endocrine Surgery, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway. .,Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway.
| | - Marie Austdal
- Department of Research, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Anne Elin Varhaugvik
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Pathology, Helse Møre og Romsdal HF, P.O. Box 1600, N-6026, Ålesund, Norway
| | - Ivar Skaland
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Einar Gudlaugsson
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway
| | - Jan Terje Kvaløy
- Department of Research, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Mathematics and Physics, University of Stavanger, P.O. Box 8600 Forus, N-4036, Stavanger, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway.,Gades Institute, Laboratory Medicine Pathology, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway
| | - Håvard Søiland
- Department of Breast & Endocrine Surgery, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Clinical Science, University of Bergen, Jonas Lies vei 87, N-5012, Bergen, Norway
| | - Emiel A M Janssen
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,Department of Mathematics and Physics, University of Stavanger, P.O. Box 8600 Forus, N-4036, Stavanger, Norway
| | - Jan P A Baak
- Department of Pathology, Stavanger University Hospital, Helse Stavanger HF, P.O. Box 8100, N-4068, Stavanger, Norway.,, Risavegen 66, N-4056, Tananger, Norway.,, Vierhuysen 6, 1921 SB, Akersloot, Netherlands
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Børretzen A, Gravdal K, Haukaas SA, Beisland C, Akslen LA, Halvorsen OJ. FOXC2 expression and epithelial-mesenchymal phenotypes are associated with castration resistance, metastasis and survival in prostate cancer. J Pathol Clin Res 2019; 5:272-286. [PMID: 31464093 PMCID: PMC6817834 DOI: 10.1002/cjp2.142] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 07/05/2019] [Accepted: 08/23/2019] [Indexed: 12/14/2022]
Abstract
Epithelial–mesenchymal transition (EMT) is important for tumour cell invasion and metastasis and is a feature of aggressive carcinomas. EMT is characterised by reduced E‐cadherin and increased N‐cadherin expression (EN‐switch), and increased expression of the EMT‐regulating transcription factor Forkhead box protein C2 (FOXC2) has been associated with progression and poor prognosis in various malignancies. FOXC2 was recently highlighted as a novel therapy target in prostate cancer, but survival data on FOXC2 are lacking. This study evaluates the expression of FOXC2, E‐cadherin and N‐cadherin in different prostatic tissues focusing on EMT, clinico‐pathological phenotype, recurrence and patient survival. Tissue microarray sections from 338 radical prostatectomies (1986–2007) with long and complete follow‐up, 33 castration resistant prostate cancers, 33 non‐skeletal metastases, 13 skeletal metastases and 41 prostatic hyperplasias were stained immunohistochemically for FOXC2, E‐cadherin and N‐cadherin. FOXC2 was strongly expressed in primary carcinomas, including castration resistant tumours and metastatic lesions as compared to benign prostatic hyperplasia. A hybrid epithelial–mesenchymal phenotype, with co‐expression of E‐cadherin and N‐cadherin, was found in the majority of skeletal metastases and in a substantial proportion of castration resistant tumours. In localised carcinomas, the EN‐switch was associated with adverse clinico‐pathological variables, such as extra‐prostatic extension, high pathological stage and lymph node infiltration. In univariate survival analyses of the clinically important, large subgroup of 199 patients with Gleason score 7, high FOXC2 expression and EN‐switching were significantly associated with shorter time to clinical recurrence, skeletal metastases and cancer specific death. In multivariate Cox' survival analysis, high FOXC2 and the EN‐switch, together with Gleason grade group (GG3 versus GG2), were independent predictors of time to these end‐points. High FOXC2 gene expression (mRNA) was also related to patient outcome, validating our immunohistochemical findings. FOXC2 and factors signifying EMT or its intermediate states may prove important as biomarkers for aggressive disease and are potential novel therapy targets in prostate cancer.
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Affiliation(s)
- Astrid Børretzen
- Centre for Cancer Biomarkers CCBIO, and Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Karsten Gravdal
- Centre for Cancer Biomarkers CCBIO, and Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Svein A Haukaas
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Urology, Haukeland University Hospital, Bergen, Norway
| | - Christian Beisland
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Urology, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, and Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Ole J Halvorsen
- Centre for Cancer Biomarkers CCBIO, and Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
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36
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Hugdahl E, Bachmann IM, Schuster C, Ladstein RG, Akslen LA. Prognostic value of uPAR expression and angiogenesis in primary and metastatic melanoma. PLoS One 2019; 14:e0210399. [PMID: 30640942 PMCID: PMC6331131 DOI: 10.1371/journal.pone.0210399] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 12/21/2018] [Indexed: 11/18/2022] Open
Abstract
Angiogenesis is important for the progression of cutaneous melanoma. Here, we analyzed the prognostic impact of the angiogenic factor urokinase plasminogen activator resecptor (uPAR), vascular proliferation index (VPI) and tumor necrosis as a measure of hypoxia in a patient series of nodular melanomas (n = 255) and matched loco-regional metastases (n = 78). Expression of uPAR was determined by immunohistochemistry and VPI was assessed by dual immunohistochemistry using Factor-VIII/Ki67 staining. Necrosis was recorded based on HE-slides. As novel findings, high uPAR expression and high VPI were associated with each other, and with increased tumor thickness, presence of tumor necrosis, tumor ulceration, increased mitotic count and reduced cancer specific survival in primary melanoma. In matched cases, VPI was decreased in metastases, whereas the frequency of necrosis was increased. Our findings demonstrate for the first time the impact on melanoma specific survival of uPAR expression and VPI in primary tumors, and of increased necrosis as an indicator of tumor hypoxia in loco-regional metastases. These findings support the importance of tumor angiogenesis in melanoma aggressiveness, and suggest uPAR as an indicator of vascular proliferation and a potential biomarker in melanoma.
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Affiliation(s)
- Emilia Hugdahl
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Dermatology, Haukeland University Hospital, Bergen, Norway
| | - Ingeborg M. Bachmann
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Dermatology, Haukeland University Hospital, Bergen, Norway
| | - Cornelia Schuster
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Oncology Haukeland University Hospital, Bergen, Norway
| | - Rita G. Ladstein
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Dermatology, Haukeland University Hospital, Bergen, Norway
| | - Lars A. Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- * E-mail:
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37
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Tsuruda KM, Bhargava S, Akslen LA, Bjørndal H, Hofvind S. Forløpstider i Mammografi-programmet før og etter innføring av pakkeforløp for brystkreft. Tidsskriftet 2019; 139:18-0322. [DOI: 10.4045/tidsskr.18.0322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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38
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Schuster C, Akslen LA, Stokowy T, Straume O. Predictive value of angiogenic proteins in patients with metastatic melanoma treated with bevacizumab monotherapy. J Pathol Clin Res 2018; 5:53-62. [PMID: 30225999 PMCID: PMC6317286 DOI: 10.1002/cjp2.116] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 09/11/2018] [Accepted: 09/13/2018] [Indexed: 01/23/2023]
Abstract
The incidence of malignant melanoma is rising worldwide and survival for metastatic disease is still poor. Recently, new treatment options have become available. Still, predictive biomarkers are needed to optimise treatment for this patient group. In this study, we investigated the predictive value of 60 angiogenic factors in patients with metastatic melanoma treated with the anti-vascular endothelial growth factor A antibody bevacizumab. Thirty-five patients were included in a clinical phase II trial and baseline serum samples were analysed by multiplex protein array. High-serum concentration of Activin A was significantly associated with objective response (OR) to treatment (p = 0.014). Candidate proteins that indicated a borderline association with treatment response were further investigated by immunohistochemistry. Strong expression of Activin A, interleukin-1β, and urokinase-type plasminogen activator receptor in metastases was significantly associated with OR (p = 0.011, p = 0.003, and p = 0.007, respectively), as well as with markers of activated angiogenesis, such as higher number of proliferating vessels and the presence of glomeruloid microvascular proliferations. Our findings indicate that these proteins may be potential predictive markers for treatment with bevacizumab monotherapy.
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Affiliation(s)
- Cornelia Schuster
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Tomasz Stokowy
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Oddbjørn Straume
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
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39
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Dimitrakopoulou K, Wik E, Akslen LA, Jonassen I. Deblender: a semi-/unsupervised multi-operational computational method for complete deconvolution of expression data from heterogeneous samples. BMC Bioinformatics 2018; 19:408. [PMID: 30404611 PMCID: PMC6223087 DOI: 10.1186/s12859-018-2442-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 10/22/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Towards discovering robust cancer biomarkers, it is imperative to unravel the cellular heterogeneity of patient samples and comprehend the interactions between cancer cells and the various cell types in the tumor microenvironment. The first generation of 'partial' computational deconvolution methods required prior information either on the cell/tissue type proportions or the cell/tissue type-specific expression signatures and the number of involved cell/tissue types. The second generation of 'complete' approaches allowed estimating both of the cell/tissue type proportions and cell/tissue type-specific expression profiles directly from the mixed gene expression data, based on known (or automatically identified) cell/tissue type-specific marker genes. RESULTS We present Deblender, a flexible complete deconvolution tool operating in semi-/unsupervised mode based on the user's access to known marker gene lists and information about cell/tissue composition. In case of no prior knowledge, global gene expression variability is used in clustering the mixed data to substitute marker sets with cluster sets. In addition, we integrate a model selection criterion to predict the number of constituent cell/tissue types. Moreover, we provide a tailored algorithmic scheme to estimate mixture proportions for realistic experimental cases where the number of involved cell/tissue types exceeds the number of mixed samples. We assess the performance of Deblender and a set of state-of-the-art existing tools on a comprehensive set of benchmark and patient cancer mixture expression datasets (including TCGA). CONCLUSION Our results corroborate that Deblender can be a valuable tool to improve understanding of gene expression datasets with implications for prediction and clinical utilization. Deblender is implemented in MATLAB and is available from ( https://github.com/kondim1983/Deblender/ ).
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Affiliation(s)
- Konstantina Dimitrakopoulou
- Centre for Cancer Biomarkers CCBIO, Department of Informatics, University of Bergen, Bergen, Norway.,Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Elisabeth Wik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Inge Jonassen
- Centre for Cancer Biomarkers CCBIO, Department of Informatics, University of Bergen, Bergen, Norway. .,Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
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40
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Fonnes T, Trovik J, Edqvist PH, Fasmer KE, Marcickiewicz J, Tingulstad S, Staff AC, Bjørge L, Amant F, Haldorsen IS, Werner H, Akslen LA, Tangen IL, Krakstad C. Asparaginase-like protein 1 expression in curettage independently predicts lymph node metastasis in endometrial carcinoma: a multicentre study. BJOG 2018; 125:1695-1703. [PMID: 29989298 DOI: 10.1111/1471-0528.15403] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2018] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Correct preoperative identification of high-risk patients is important to optimise surgical treatment and improve survival. We wanted to explore if asparaginase-like protein 1 (ASRGL1) expression in curettage could predict lymph node metastases and poor outcome, potentially improving preoperative risk stratification. DESIGN Multicentre study. SETTING Ten hospitals in Norway, Sweden and Belgium. POPULATION Women diagnosed with endometrial carcinoma. METHODS ASRGL1 expression in curettage specimens from 1144 women was determined by immunohistochemistry. MAIN OUTCOME MEASURES ASRGL1 status related to disease-specific survival, lymph node status, preoperative imaging parameters and clinicopathological data. RESULTS ASRGL1 expression had independent prognostic value in multivariate survival analyses, both in the whole patient population (hazard ratio (HR) 1.63, 95% CI 1.11-2.37, P = 0.012) and in the low-risk curettage histology subgroup (HR 2.54, 95% CI 1.44-4.47, P = 0.001). Lymph node metastases were more frequent in women with low expression of ASRGL1 compared with women with high ASRGL1 levels (23% versus 10%, P < 0.001), and low ASRGL1 level was found to independently predict lymph node metastases (odds ratio 2.07, 95% CI 1.27-3.38, P = 0.003). CONCLUSIONS Low expression of ASRGL1 in curettage independently predicts lymph node metastases and poor disease-specific survival. TWEETABLE ABSTRACT Low ASRGL1 expression in curettage predicts lymph node metastasis and poor survival in endometrial carcinoma.
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Affiliation(s)
- T Fonnes
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
| | - J Trovik
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
| | - P-Hd Edqvist
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.,Science for Life Laboratory, Uppsala, Sweden
| | - K E Fasmer
- Department of Radiology, Centre for Nuclear Medicine/PET, Haukeland University Hospital, Bergen, Norway.,Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - J Marcickiewicz
- Department of Gynaecology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Obstetrics and Gynaecology, Halland's Hospital Varberg, Varberg, Sweden
| | - S Tingulstad
- Department of Gynaecology, St Olav's Hospital, Trondheim, Norway
| | - A C Staff
- Department of Gynaecology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - L Bjørge
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
| | - F Amant
- Department of Gynaecologic Oncology, UZGasthuisberg, KU Leuven, Leuven, Belgium.,Centre for Gynaecologic Oncology, Netherlands Cancer Institute and Academic Medical Centre, Amsterdam, the Netherlands
| | - I S Haldorsen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hmj Werner
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
| | - L A Akslen
- Section for Pathology, Department of Clinical Medicine, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - I L Tangen
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
| | - C Krakstad
- Department of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
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Moshina N, Sebuødegård S, Lee CI, Akslen LA, Tsuruda KM, Elmore JG, Hofvind S. Automated Volumetric Analysis of Mammographic Density in a Screening Setting: Worse Outcomes for Women with Dense Breasts. Radiology 2018; 288:343-352. [DOI: 10.1148/radiol.2018172972] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Nataliia Moshina
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Sofie Sebuødegård
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Christoph I. Lee
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Lars A. Akslen
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Kaitlyn M. Tsuruda
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Joann G. Elmore
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
| | - Solveig Hofvind
- From the Cancer Registry of Norway, Oslo, Norway (N.M., S.S., K.M.T., S.H.); Departments of Radiology (C.I.L.) and Medicine (J.G.E.), University of Washington School of Medicine, Seattle, Wash; Department of Clinical Medicine, Section for Pathology, Centre for Cancer Biomarkers (CCBIO), Bergen, Norway (L.A.A.); Department of Pathology, Haukeland University Hospital, Bergen, Norway (L.A.A.); and Oslo Metropolitan University, Faculty of Health Science, Oslo, Norway (S.H.)
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Valla M, Mjønes PG, Engstrøm MJ, Ytterhus B, Bordin DL, van Loon B, Akslen LA, Vatten LJ, Opdahl S, Bofin AM. Characterization of FGD5 Expression in Primary Breast Cancers and Lymph Node Metastases. J Histochem Cytochem 2018; 66:787-799. [PMID: 30052477 DOI: 10.1369/0022155418792032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Faciogenital dysplasia 5 ( FGD5) amplification drives tumor cell proliferation, and is present in 9.5% of breast cancers. We describe FGD5 expression, assess associations between FGD5 amplification and FGD5 expression, and assess FGD5 expression in relation to proliferation and prognosis. FGD5 immunohistochemistry was done on primary tumors ( n=829) and lymph node metastases ( n=231) from a cohort of Norwegian patients. We explored associations between FGD5 amplification, FGD5 expression, and proliferation, and analyzed the prognostic value of FGD5 expression by estimating cumulative risks of death and hazard ratios (HRs). We identified nuclear and cytoplasmic expression in 64% and 73% of primary tumors, respectively, and found an association between gene amplification and nuclear expression ( p=0.02). The proportion of cases with FGD5 expression was higher in lymph node metastases, compared with primary tumors ( p=0.004 for nuclear and p=0.001 for cytoplasmic staining). Neither proliferation nor prognosis was associated with FGD5 expression (age-adjusted HR 1.12 [95% confidence interval = 0.89-1.41] for nuclear expression; and 0.88 [95% CI = 0.70-1.12] for cytoplasmic expression). FGD5 is expressed in a high proportion of breast cancers and lymph node metastases. There was a correlation between FGD5 amplification and nuclear expression, but no association between FGD5 expression and proliferation or prognosis.
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Affiliation(s)
- Marit Valla
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Patricia G Mjønes
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Monica J Engstrøm
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Breast and Endocrine Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Borgny Ytterhus
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Diana L Bordin
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Barbara van Loon
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Lars J Vatten
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Signe Opdahl
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anna M Bofin
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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Lofterød T, Mortensen ES, Nalwoga H, Wilsgaard T, Frydenberg H, Risberg T, Eggen AE, McTiernan A, Aziz S, Wist EA, Stensvold A, Reitan JB, Akslen LA, Thune I. Impact of pre-diagnostic triglycerides and HDL-cholesterol on breast cancer recurrence and survival by breast cancer subtypes. BMC Cancer 2018; 18:654. [PMID: 29902993 PMCID: PMC6003110 DOI: 10.1186/s12885-018-4568-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 05/31/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND High triglycerides and low levels of high density lipoprotein (HDL)-cholesterol are observed to promote tumor growth. However, whether breast cancer heterogeneity may explain the contradictory influence of triglycerides and cholesterol observed on breast cancer prognosis remains unclear. METHODS A population-based survival study among 464 breast cancer cases identified within the Tromsø study was conducted. Pre-diagnostic triglycerides, total-cholesterol and HDL-cholesterol were measured, and detailed clinical and histopathological data were obtained. Using tissue microarray, all breast cancer cases were reclassified into the following subtypes: Luminal A, Luminal B, HER2-enriched, and triple negative breast cancer (TNBC). Multivariable Cox proportional hazards regression models were used to study the associations between pre-diagnostic lipids and breast cancer recurrence, mortality, and survival. RESULTS A total of 464 breast cancer patients, with mean age at diagnosis of 57.9 years, were followed for a mean 8.4 years. TNBC patients in the highest tertile of triglycerides (≥ 1.23 mmol/l) had 3 times higher overall mortality compared to TNBC patients in the lowest tertile (≤ 0.82 mmol/l) (HR 2.99, 95% CI 1.17-7.63), and the 5-year overall survival was 19% lower for TNBC patients in the highest vs. lowest tertile of triglycerides (65% vs. 84%). TNBC patients in the highest tertile of the HDL-cholesterol/total-cholesterol ratio (≥0.35), compared to those in the lowest tertile (≤0.27), had a 67% reduced overall mortality risk (HR 0.33, 95% CI 0.12-0.89). No associations were observed between lipids and prognostic outcome among breast cancer patients overall, or among patients with luminal A and luminal B subtypes. Among HER2-enriched patients, pre-diagnostic triglyceride level was inversely associated with overall mortality. CONCLUSION Our study suggests that pre-diagnostic triglycerides and the HDL-cholesterol/total-cholesterol ratio may independently provide unique information regarding prognostic outcome among triple negative breast cancer patients. However, a small sample size underlines the need for additional studies.
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Affiliation(s)
- Trygve Lofterød
- Department of Oncology, Oslo University Hospital, Ullevål, N-0424, Oslo, Norway.
| | - Elin S Mortensen
- Department of Clinical Pathology, University Hospital of North Norway, N-9019, Tromsø, Norway
| | - Hawa Nalwoga
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, N-5007, Bergen, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Services, UIT The Arctic University of Norway, N-9019, Tromsø, Norway
| | - Hanne Frydenberg
- Department of Oncology, Oslo University Hospital, Ullevål, N-0424, Oslo, Norway
| | - Terje Risberg
- Department of Oncology, University Hospital of North Norway, N-9019, Tromsø, Norway
| | - Anne Elise Eggen
- Department of Community Medicine, Faculty of Health Services, UIT The Arctic University of Norway, N-9019, Tromsø, Norway
| | - Anne McTiernan
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, 98109, USA
| | - Sura Aziz
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, N-5007, Bergen, Norway
| | - Erik A Wist
- Department of Oncology, Oslo University Hospital, Ullevål, N-0424, Oslo, Norway
| | - Andreas Stensvold
- Department of Oncology, Østfold Hospital Trust, N-1714 Grålum, Norway
| | - Jon B Reitan
- Department of Oncology, Oslo University Hospital, Ullevål, N-0424, Oslo, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, N-5007, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, N-9019, Bergen, Norway
| | - Inger Thune
- Department of Oncology, Oslo University Hospital, Ullevål, N-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Health Services, UIT The Arctic University of Norway, N-9019, Tromsø, Norway
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Robsahm TE, Helsing P, Nilssen Y, Vos L, Rizvi SMH, Akslen LA, Veierød MB. High mortality due to cutaneous melanoma in Norway: a study of prognostic factors in a nationwide cancer registry. Clin Epidemiol 2018; 10:537-548. [PMID: 29780262 PMCID: PMC5951132 DOI: 10.2147/clep.s151246] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Purpose The purpose of this study was to examine why Norway has the highest rate of mortality due to cutaneous melanoma (CM) in Europe. The Norwegian Malignant Melanoma Registry (NMMR) enables the study of clinical and histopathological characteristics of patients who die due to CM. Results The NMMR and the Norwegian Cause of Death Registry provided data on the clinical and histopathological factors as well as the date and cause of death, through June 2015 for all first invasive CMs diagnosed in 2008–2012 (n=8087). Cox regression was used to estimate associations between clinical and pathological factors and CM-specific death. Multiple imputation was used to handle missing data. Results The CMs were equally distributed between men (49.9%) and women (50.1%), and the median follow-up was 4.0 years (range: 0.08–7.5 years). Trunk was the most common anatomic site (48%), superficial spreading melanoma was the dominant melanoma subtype (68.2%), median Breslow thickness was 1.0 mm, ulceration was present in 23% of CMs, and 91.8% of cases were in a local clinical stage at diagnosis. Compared to women, men were diagnosed at a higher age, with thicker and more-often-ulcerated tumor, and more often were in advanced clinical stages. During follow-up, 1015 patients died due to CM, representing 52.8% of all deaths. The nodular subtype made up the dominant proportion of fatal CM cases (55.3% in women, 64.6% in men). Sex, age, anatomic site (trunk), T-stage, ulceration, clinical stage, and having a second primary CM were associated with increased risk of CM-specific death. Conclusion Our data suggest that the high rate of mortality due to CM observed in Norway is attributable to the more advanced stage of the disease at diagnosis. Most high-risk cases occurred in male patients ≥70 years of age. Efforts to improve awareness and secondary prevention of CM, including warning signs of all melanoma subtypes, are required urgently and should be targeted toward men in particular.
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Affiliation(s)
| | - Per Helsing
- Department of Dermatology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | | | - Linda Vos
- Cancer Registry of Norway, Oslo, Norway
| | - Syed Mohammad H Rizvi
- Department of Dermatology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Marit B Veierød
- Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
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Jokela TA, Engelsen AST, Rybicka A, Pelissier Vatter FA, Garbe JC, Miyano M, Tiron C, Ferariu D, Akslen LA, Stampfer MR, Lorens JB, LaBarge MA. Microenvironment-Induced Non-sporadic Expression of the AXL and cKIT Receptors Are Related to Epithelial Plasticity and Drug Resistance. Front Cell Dev Biol 2018; 6:41. [PMID: 29719832 PMCID: PMC5913284 DOI: 10.3389/fcell.2018.00041] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 03/23/2018] [Indexed: 12/13/2022] Open
Abstract
The existence of rare cancer cells that sporadically acquire drug-tolerance through epigenetic mechanisms is proposed as one mechanism that drives cancer therapy failure. Here we provide evidence that specific microenvironments impose non-sporadic expression of proteins related to epithelial plasticity and drug resistance. Microarrays of robotically printed combinatorial microenvironments of known composition were used to make cell-based functional associations between microenvironments, which were design-inspired by normal and tumor-burdened breast tissues, and cell phenotypes. We hypothesized that specific combinations of microenvironment constituents non-sporadically impose the induction of the AXL and cKIT receptor tyrosine kinase proteins, which are known to be involved in epithelial plasticity and drug-tolerance, in an isogenic human mammary epithelial cell (HMEC) malignant progression series. Dimension reduction analysis reveals type I collagen as a dominant feature, inducing expression of both markers in pre-stasis finite lifespan HMECs, and transformed non-malignant and malignant immortal cell lines. Basement membrane-associated matrix proteins, laminin-111 and type IV collagen, suppress AXL and cKIT expression in pre-stasis and non-malignant cells. However, AXL and cKIT are not suppressed by laminin-111 in malignant cells. General linear models identified key factors, osteopontin, IL-8, and type VIα3 collagen, which significantly upregulated AXL and cKIT, as well as a plasticity-related gene expression program that is often observed in stem cells and in epithelial-to-mesenchymal-transition. These factors are co-located with AXL-expressing cells in situ in normal and breast cancer tissues, and associated with resistance to paclitaxel. A greater diversity of microenvironments induced AXL and cKIT expression consistent with plasticity and drug-tolerant phenotypes in tumorigenic cells compared to normal or immortal cells, suggesting a reduced perception of microenvironment specificity in malignant cells. Microenvironment-imposed reprogramming could explain why resistant cells are seemingly persistent and rapidly adaptable to multiple classes of drugs. These results support the notion that specific microenvironments drive drug-tolerant cellular phenotypes and suggest a novel interventional avenue for preventing acquired therapy resistance.
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Affiliation(s)
- Tiina A. Jokela
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Population Sciences, Center for Cancer and Aging, City of Hope, Duarte, CA, United States
| | - Agnete S. T. Engelsen
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
| | - Agata Rybicka
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | | | - James C. Garbe
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Masaru Miyano
- Department of Population Sciences, Center for Cancer and Aging, City of Hope, Duarte, CA, United States
| | - Crina Tiron
- Regional Institute of Oncology, Iasi, Romania
| | - Dan Ferariu
- Regional Institute of Oncology, Iasi, Romania
| | - Lars A. Akslen
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
| | - Martha R. Stampfer
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - James B. Lorens
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
| | - Mark A. LaBarge
- Department of Population Sciences, Center for Cancer and Aging, City of Hope, Duarte, CA, United States
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
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Pilskog M, Bostad L, Edelmann RJ, Akslen LA, Beisland C, Straume O. Tumour cell expression of interleukin 6 receptor α is associated with response rates in patients treated with sunitinib for metastatic clear cell renal cell carcinoma. J Pathol Clin Res 2018; 4:114-123. [PMID: 29665322 PMCID: PMC5903692 DOI: 10.1002/cjp2.96] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 01/09/2018] [Accepted: 01/16/2018] [Indexed: 01/03/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma, and anti‐angiogenic treatment is currently first line therapy for metastatic ccRCC (mccRCC). Response rates and duration of response show considerable variation, and adverse events have a major influence on patient quality of life. The need for predictive biomarkers to select responders to receptor tyrosine kinase inhibitors upfront is urgent. We investigated the predictive value of immunohistochemical biomarkers associated with angiogenesis and systemic inflammation in mccRCC. Forty‐six patients with metastatic or non‐resectable ccRCC treated with sunitinib were included. Metastatic and/or primary tumour tissue was stained by immunohistochemistry for selected markers related to angiogenesis [vascular endothelial growth factor A (VEGF‐A), VEGF receptor 2 (VEGFR2), platelet‐derived growth factor receptor β (PDGFRβ), and heat shock protein 27 (HSP27)] and immune responses [Interleukin 6 receptor α (IL6Rα), interleukin‐6 (IL6), and jagged1 (JAG1)]. The predictive potential of the candidate markers was assessed by correlations with response rates (RECIST). In addition, progression free survival (PFS) and overall survival (OS) were analysed. Low tumour cell expression of IL6Rα was significantly associated with improved response to sunitinib (Fisher's exact test, p = 0.03), but not with PFS or OS. Median/high expression of IL6Rα showed significant association with median/high expression of VEGF‐A and HSP27. Furthermore, low expression of IL6 was significantly associated with improved PFS, but not OS or response rates. High expression of IL6 was significantly associated with high expression of JAG1, VEGF‐A, VEGFR2, and PDGFRβ. Loss of tumour cell expression of IL6Rα in mccRCC patients treated with sunitinib predicts improved treatment response, and might represent a candidate predictive marker.
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Affiliation(s)
- Martin Pilskog
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Leif Bostad
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Reidunn J Edelmann
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Christian Beisland
- Department of Urology, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Oddbjørn Straume
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.,Department of Oncology, Haukeland University Hospital, Bergen, Norway
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47
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Mauland KK, Wik E, Hoivik EA, Kusonmano K, Halle MK, Berg A, Haugland HK, Øyan AM, Kalland KH, Stefansson IM, Akslen LA, Krakstad C, Trovik J, Werner HMJ, Salvesen HB. Aneuploidy related transcriptional changes in endometrial cancer link low expression of chromosome 15q genes to poor survival. Oncotarget 2018; 8:9696-9707. [PMID: 28039471 PMCID: PMC5354764 DOI: 10.18632/oncotarget.14201] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 11/23/2016] [Indexed: 12/01/2022] Open
Abstract
Aneuploidy is a widely studied prognostic marker in endometrial cancer (EC), however, not implemented in clinical decision-making. It lacks validation in large prospective patient cohorts adjusted for currently standard applied prognostic markers, including estrogen/progesterone receptor status (ER/PR). Also, little is known about aneuploidy-related transcriptional alterations, relevant for understanding its role in EC biology, and as therapeutic target. We included 825 EC patients with available ploidy status and comprehensive clinicopathologic characterization to analyze ploidy as a prognostic marker. For 144 patients, gene expression data were available to explore aneuploidy-related transcriptional alterations. Aneuploidy was associated with high age, FIGO stage and grade, non-endometrioid histology, ER/PR negativity, and poor survival (p-values<0.001). In patients with ER/PR negative tumors, aneuploidy independently predicted poor survival (p=0.03), lymph node metastasis (p=0.007) and recurrence (p=0.002). A prognostic ‘aneuploidy signature’, linked to low expression of chromosome 15q genes, was identified and validated in TCGA data. In conclusion, aneuploidy adds prognostic information in ER/PR negative EC, identifying high-risk patients that could benefit from more aggressive therapies. The ‘aneuploidy signature’ equally identifies these aggressive tumors and suggests a link between aneuploidy and low expression of 15q genes. Integrated analyses point at various dysregulated pathways in aneuploid EC, underlining a complex biology.
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Affiliation(s)
- Karen Klepsland Mauland
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Elisabeth Wik
- Center for Cancer Biomarkers CCBIO, Department of Clinical Medicine (K1), Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Erling A Hoivik
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Kanthida Kusonmano
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.,Computational Biology Unit, University of Bergen, Bergen, Norway.,Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkhuntien, Bangkok, Thailand
| | - Mari Kyllesø Halle
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Anna Berg
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | | | - Anne Margrete Øyan
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Microbiology, Haukeland University Hospital, Bergen, Norway
| | - Karl-Henning Kalland
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Microbiology, Haukeland University Hospital, Bergen, Norway
| | | | - Lars A Akslen
- Center for Cancer Biomarkers CCBIO, Department of Clinical Medicine (K1), Section for Pathology, University of Bergen, Bergen, Norway.,Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Camilla Krakstad
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Center for Cancer Biomarkers CCBIO, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Jone Trovik
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Henrica Maria Johanna Werner
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Helga Birgitte Salvesen
- Center for Cancer Biomarkers CCBIO, Department of Clinical Science (K2), University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
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48
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Hugdahl E, Kalvenes MB, Mannelqvist M, Ladstein RG, Akslen LA. Prognostic impact and concordance of TERT promoter mutation and protein expression in matched primary and metastatic cutaneous melanoma. Br J Cancer 2017; 118:98-105. [PMID: 29123258 PMCID: PMC5765228 DOI: 10.1038/bjc.2017.384] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 09/13/2017] [Accepted: 10/02/2017] [Indexed: 01/05/2023] Open
Abstract
Background: TERT promoter mutations are frequent in melanoma. Here we analysed the concordance and prognostic impact of TERT mutation and telomerase reverse transcriptase (TERT) protein expression in a large melanoma series. Methods: In 194 primary nodular melanomas with 72 matched loco-regional metastases, TERT promoter mutation status was assessed by Sanger sequencing and TERT protein expression by immunohistochemistry. Results: TERT mutations were found in 68% of primary melanomas and 64% of metastases, and the mutation status was discordant between primary tumour and metastasis in 24% of the cases. 6 of the 10 cases with discordant and wild-type metastases were also TERT wild type when re-tested in other intra-tumour regions, whereas 4 cases were mutation positive. TERT-mutated tumours tended to be thicker, have a higher mitotic count and higher patient age than TERT wild-type cases, but there was no significant association with reduced survival. TERT protein expression did not correlate with mutation status, but showed a similar discordancy between the primary and first metastatic lesion, and was significantly associated with reduced survival. Conclusions: TERT promoter mutations showed inter- and intra-tumoural discordancy, whereas only expression of TERT protein was associated with reduced patient survival.
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Affiliation(s)
- Emilia Hugdahl
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen 5021, Norway
| | - May Britt Kalvenes
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen 5021, Norway
| | - Monica Mannelqvist
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen 5021, Norway
| | - Rita G Ladstein
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen 5021, Norway.,Department of Dermatology, Haukeland University Hospital, Bergen 5021, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen 5021, Norway.,Department of Pathology, Haukeland University Hospital, Bergen 5021, Norway
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49
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Klingen TA, Chen Y, Aas H, Wik E, Akslen LA. Tumor-associated macrophages are strongly related to vascular invasion, non-luminal subtypes, and interval breast cancer. Hum Pathol 2017; 69:72-80. [DOI: 10.1016/j.humpath.2017.09.001] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 08/29/2017] [Accepted: 09/02/2017] [Indexed: 02/07/2023]
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50
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Reisæter LAR, Fütterer JJ, Losnegård A, Nygård Y, Monssen J, Gravdal K, Halvorsen OJ, Akslen LA, Biermann M, Haukaas S, Rørvik J, Beisland C. Optimising preoperative risk stratification tools for prostate cancer using mpMRI. Eur Radiol 2017; 28:1016-1026. [PMID: 28986636 PMCID: PMC5811593 DOI: 10.1007/s00330-017-5031-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 07/17/2017] [Accepted: 08/10/2017] [Indexed: 01/15/2023]
Abstract
Purpose To improve preoperative risk stratification for prostate cancer (PCa) by incorporating multiparametric MRI (mpMRI) features into risk stratification tools for PCa, CAPRA and D’Amico. Methods 807 consecutive patients operated on by robot-assisted radical prostatectomy at our institution during the period 2010–2015 were followed to identify biochemical recurrence (BCR). 591 patients were eligible for final analysis. We employed stepwise backward likelihood methodology and penalised Cox cross-validation to identify the most significant predictors of BCR including mpMRI features. mpMRI features were then integrated into image-adjusted (IA) risk prediction models and the two risk prediction tools were then evaluated both with and without image adjustment using receiver operating characteristics, survival and decision curve analyses. Results 37 patients suffered BCR. Apparent diffusion coefficient (ADC) and radiological extraprostatic extension (rEPE) from mpMRI were both significant predictors of BCR. Both IA prediction models reallocated more than 20% of intermediate-risk patients to the low-risk group, reducing their estimated cumulative BCR risk from approximately 5% to 1.1%. Both IA models showed improved prognostic performance with a better separation of the survival curves. Conclusion Integrating ADC and rEPE from mpMRI of the prostate into risk stratification tools improves preoperative risk estimation for BCR. Key points • MRI-derived features, ADC and EPE, improve risk stratification of biochemical recurrence. • Using mpMRI to stratify prostate cancer patients improves the differentiation between risk groups. • Using preoperative mpMRI will help urologists in selecting the most appropriate treatment. Electronic supplementary material The online version of this article (10.1007/s00330-017-5031-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lars A R Reisæter
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei, N-5021, Bergen, Norway.
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
| | - Jurgen J Fütterer
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Are Losnegård
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei, N-5021, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Yngve Nygård
- Department of Urology, Haukeland University Hospital, N-5021, Bergen, Norway
| | - Jan Monssen
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei, N-5021, Bergen, Norway
| | - Karsten Gravdal
- Department of Pathology, Haukeland University Hospital, N-5021, Bergen, Norway
| | - Ole J Halvorsen
- Department of Pathology, Haukeland University Hospital, N-5021, Bergen, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Lars A Akslen
- Department of Pathology, Haukeland University Hospital, N-5021, Bergen, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Martin Biermann
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei, N-5021, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Svein Haukaas
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Urology, Haukeland University Hospital, N-5021, Bergen, Norway
| | - Jarle Rørvik
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei, N-5021, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Christian Beisland
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Urology, Haukeland University Hospital, N-5021, Bergen, Norway
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