| 1. |
- Holowko, Natalie, et al.
(författare)
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Heritability of mammographic breast density, density change, microcalcifications, and masses
- 2020
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Ingår i: Cancer Research. - Stockholm : Karolinska Institutet, Dept of Medical Epidemiology and Biostatistics. - 0008-5472. ; 80:7, s. 1590-1600
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Tidskriftsartikel (refereegranskat)abstract
- Background: Mammographic features influence breast cancer risk and are used in risk prediction models. Understanding how genetics influence mammographic features is important since the mechanisms through which they are associated with breast cancer are not well known. Methods: Mammographic screening history and detailed questionnaire data for 56,820 women from the KARMA prospective cohort study were used. The heritability of mammographic features such as dense area (MD), microcalcifications, masses, and density change (MDC – cm2/year) were estimated using 1,940 sister pairs. We investigated the association between a genetic predisposition to breast cancer and mammographic features, among women with family history of breast cancer information (N=49,674) and a polygenic risk score (PRS, N=9,365). Results: Heritability was estimated at 58% (95% CI: 48%, 67%) for MD, 23% (2%, 45%) for microcalcifications, and 13% (1%, 25%) for masses. The estimated heritability for MDC was essentially null (2%, 95% CI: -8%, 12%). The association between a genetic predisposition to breast cancer (using PRS) and MD and microcalcifications was positive, while for masses this was borderline significant. In addition, for MDC, having a family history of breast cancer was associated with slightly greater MD reduction. Conclusions: We confirmed previous findings of heritability in MD, and also found heritability of the number of microcalcifications and masses at baseline. Since these features are associated with breast cancer risk, and can improve detecting women at short-term risk of breast cancer, further investigation of common loci associated with mammographic features is warranted to better understand the etiology of breast cancer.
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| 2. |
- Berg, Tracy J., et al.
(författare)
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The Irradiated Brain Microenvironment Supports Glioma Stemness and Survival via Astrocyte-Derived Transglutaminase 2
- 2021
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Ingår i: Cancer Research. - : American Association For Cancer Research (AACR). - 0008-5472 .- 1538-7445. ; 81:8, s. 2101-2115
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Tidskriftsartikel (refereegranskat)abstract
- The tumor microenvironment plays an essential role in supporting glioma stemness and radioresistance. Following radiotherapy, recurrent gliomas form in an irradiated microenvironment. Here we report that astrocytes, when pre-irradiated, increase stemness and survival of cocultured glioma cells. Tumor-naive brains increased reactive astrocytes in response to radiation, and mice subjected to radiation prior to implantation of glioma cells developed more aggressive tumors. Extracellular matrix derived from irradiated astrocytes were found to be a major driver of this phenotype and astrocyte-derived transglutaminase 2 (TGM2) was identified as a promoter of glioma stemness and radioresistance. TGM2 levels increased after radiation in vivo and in recurrent human glioma, and TGM2 inhibitors abrogated glioma stemness and survival. These data suggest that irradiation of the brain results in the formation of a tumor-supportive microenvironment. Therapeutic targeting of radiation-induced, astrocyte-derived extracellular matrix proteins may enhance the efficacy of standard-of-care radiotherapy by reducing stemness in glioma. Significance: These findings presented here indicate that radiotherapy can result in a tumor-supportive microenvironment, the targeting of which may be necessary to overcome tumor cell therapeutic resistance and recurrence.
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| 3. |
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| 4. |
- Ali, Zaheer, et al.
(författare)
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Abstract 6124 : Translation of zebrafish tumor-derived xenograft-models for improved diagnosis and treatment planning in urinary bladder cancer patients
- 2020
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 80:6 Supplement, s. 6124-6124
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Tidskriftsartikel (refereegranskat)abstract
- Precision medicine in oncology aims to identify the most effective treatment for any given patient based on individualized analyses of patient material. Currently, precision medicine relies on sequencing of DNA or RNA to identify patient tumor-specific mutational profiles that may be coupled to drug response. These techniques, however, fail to reveal actionable mutations in approximately 85% of the cancer patients, and have not been established at all for many commonly used drugs including cisplatin-based treatments used in urinary bladder cancer. While mouse-PDX models can determine drug response rates with high accuracy in most patients and for most drugs, such techniques are too slow and expensive to be relevant for first line treatment planning. Urinary bladder cancer patients are often treated with cisplatin-containing combination therapy, with the hope of down-staging tumors before surgery. 60%, however, do not respond or even progress on this treatment, and these patients would benefit from immediate surgery upon diagnosis. To help identify non-responding patients, we show here that patient-derived tumor xenograft models can be established in zebrafish larvae (ZTX models) and that the resulting tumors exhibit differential responses to the two main cisplatin-containing treatments GC and MVAC.Preliminary results from the first 19 patients are presented. Two tumor biopsies were destroyed during transport and two did not allow isolation of sufficient viable cells for implantation. From the remaining 15 samples an average of 2,6 million cells with average viability of 53% were isolated and used to implant at least 60 2-days old larvae. All 15 samples implanted in the larvae and survived and/or grew exhibiting varying degrees of metastatic dissemination (average between 2 and 13 metastasized cells per embryo and model) within only three days from implantation. Four ZTX models exhibited different responses to GC and MVAC demonstrating that these treatments are not equally effective in all patients. Non-response in ZTX models was associated with tumors having re-appeared in the bladder upon radical cystectomy in all patients undergoing surgery prior to Dec. 5th 2019 (n=3). GC inhibited metastasis in all models (average 69% inhibition), whereas MVAC inhibited metastasis in 40% of the models (average 36% inhibition).In conclusion: The ZTX urinary bladder cancer platform presented here overcome limitations associated with long assay time and high cost of other functional models within precision medicine as well as the low hit-rate of actionable mutations associated with genomic techniques. ZTX models will therefore likely become a powerful method for functional precision medicine within oncology, in the near future.
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| 7. |
- Wang, Chengshi, et al.
(författare)
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Cardiovascular mortality among cancer survivors who developed breast cancer as a second primary malignancy
- 2020
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 80:16
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Patients with breast cancer are at increased risk of cardiovascular diseases and cardiovascular mortality, potentially due to treatment-related cardiotoxicity, early menopause, and psychological distress. Cancer survivors who developed breast cancer as a second malignancy (BCa-2) are common and may experience cancer treatment and distress for a second time. It is however unknown whether BCa-2 patients have increased risk of cardiovascular mortality compared to patients with breast cancer as the first malignancy (BCa-1) and the cancer-free female population.Methods: Using the Surveillance, Epidemiology, and End Results database, we conducted a cohort study including 1,024,047 patients with BCa-1 and 41,744 with BCa-2 diagnosed at age of 30 years and older during 1975-2016, and the corresponding female population of 994,415,911 person-years in the U.S.. Compared with patients with BCa-1 and the general population, we calculated incidence rate ratios (IRRs) of cardiovascular deaths among patients with BCa-2 by using multivariable Poisson regression.Results: During the median follow-up of 5.9 years (interquartile range, 2.4-11.3 years), 3,550 and 71,298 cardiovascular deaths were observed in BCa-2 and BCa-1 patients. Overall, BCa-2 patients had a mildly increased risk of cardiovascular mortality compared with the general population (IRR 1.07, 95% CI 1.03-1.10) and BCa-1 patients (IRR 1.13, 95% CI 1.10-1.17) with the adjustment of demographic factors. When comparing BCa-2 with BCa-1, the association was further independent of tumor characteristics and treatment modes (IRR 1.15, 95% CI 1.11-1.19). The elevated risk of cardiovascular mortality was mostly pronounced at age of follow-up between 30 and 79 years (IRR 1.31, 95% CI 1.23-1.40 compared with the general population; IRR 1.34, 95% CI 1.25-1.43 compared with BCa-1), whereas the risk was mildly increased, if any, at age of 80+ years compared with BCa-1 (IRR 1.07, 95% CI 1.02-1.11). The increased risk at age of 30-79 years in BCa-2 was particularly greater within the first month after cancer diagnosis compared with the general population (IRR 3.20, 95% CI 2.34-4.38). In contrast, cardiovascular mortality rate in BCa-2 was comparable to that in BCa-1 within the first month (IRR 0.87, 95% CI 0.63-1.21).Conclusions: Our findings suggest that patients with BCa-2, particularly in patients younger than 80 years, are at increased risk of cardiovascular mortality, compared with the general population and patients with BCa-1.
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| 8. |
- Abrahamsson, Annelie, 1966-, et al.
(författare)
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Fulvestrant-Mediated Attenuation of the Innate Immune Response Decreases ER+ Breast Cancer Growth In Vivo More Effectively than Tamoxifen
- 2020
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Ingår i: Cancer Research. - Philadelphia, PA, United States : AMER ASSOC CANCER RESEARCH. - 0008-5472 .- 1538-7445. ; 80:20, s. 4487-4499
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Tidskriftsartikel (refereegranskat)abstract
- Although blocking estrogen-dependent signaling is a cornerstone of adjuvant treatment for breast cancer, 25% of patients experience recurrent disease. Stroma events including innate immune responses are key in cancer progression. How different estrogen receptor (ER)-targeting therapies, including the partial agonist tamoxifen and the pure antagonist fulvestrant, affect the tumor stroma has not yet been elucidated. Fulvestrant is used in only postmenopausal patients, and its effects in the presence of estradiol remain undetermined. Here we observe that fulvestrant decreases ER+ breast cancer growth compared with tamoxifen in the presence of physiologic levels of estradiol in human breast cancer in nude mice and in murine breast cancer in immune-competent mice. Fulvestrant significantly inhibited macrophage and neutrophil infiltration in both models. These effects were corroborated in a zebrafish model where fulvestrant inhibited neutrophil- and macrophage-dependent cancer cell dissemination more effectively than tamoxifen. A comprehensive analysis of 234 human proteins released into the cancer microenvironment by the cancer cells sampled via microdialysis in vivo revealed that 38 proteins were altered following both treatments; 25 of these proteins were associated with immune response and were altered by fulvestrant only. Compared with tamoxifen, fulvestrant significantly affected inflammatory proteins released by murine stroma cells. Importantly, in vivo microdialysis of human ER+ breast cancer revealed that the majority of affected proteins in murine models were upregulated in patients. Together, these results suggest that fulvestrant targets ER+ breast cancer more effectively than tamoxifen even in the presence of estradiol, mainly by attenuation of the innate immune response. Significance: These findings demonstrate novel effects of the pure antiestrogen fulvestrant in ERthorn breast cancer and evaluate its effects under physiologic levels of estradiol, representative of premenopausal patients.
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| 9. |
- Bekele, Maheteme, et al.
(författare)
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Tumor and immune cell profiling in breast cancer using highly multiplexed imaging mass cytometry single-cell technology demonstrates tumor heterogeneity and immune phenotypic abnormality in Ethiopian women
- 2020
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 80:21 Suppl.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Tumor heterogeneity represents a complex challenge to cancer treatment, disease recurrence, and patient survival. Imaging mass cytometry (IMC) is an emerging proteomic tool for cancer profiling in tumor tissue samples. IMC enables digital image analysis by multiplexed immunostaining of cells and proteins within tissue and preserves spatial relations within tumor environment. We have applied IMC based approach to study the heterogeneity of invasive breast carcinoma protein expression pattern in formalin fixed paraffin embedded tissues.Methods: A total of 10 region of interest (ROI) derived from 5 patients with primary invasive breast carcinoma representing three molecular subclasses (HR+/HER2-,HER2+/HR- and TNBC) were stained with a 30-marker IMC metal labeled antibody panel (α-SMA, EGFR, p53, CD33, CD16, CD163, CD11b, PDL1, CD31, CD45, D44,Vimentin, FoxP3, CD4, ECadherin, CD68, CD20, CD8a, Cytokeratin7, PD1, GranzymeB, Ki67, ColTypeI, CD3, CD45RO, HLADR, DARC & CD11c). Tissue imaging was done by quantifying the abundance of bound antibody with a Hyperion IMC. MCD Viewer was used for visualization purpose and to export raw 16-bit tiff images for segmentation on CellProfiler. Segmentation masks were combined with the individual tiff files to extract single-cell information from each individual image. HistoCAT was applied to perform unbiased clustering of cell populations using the PhenoGraph algorithm and clustered cell populations was overlaid on t-SNE plot. The relative marker expression was used to generate heat-maps and each cluster was manually assigned a phenotype based on its expression profile.Results: The t-SNE generated from each ROI revealed different distinct cell populations and we report the presence of diverse tumor and immune cell populations in our samples. The (min, max) number of PhenoGraph clustered tumor cell populations in HR+/HER2-, HER2+ and TNBC Cases were (5,8) (7,9) and (5,7) respectively. Similarly, the (min, max) number of PhenoGraph clustered immune cell populations in HR+/HER2-, HER2+ and TNBC Cases were (5,8) (7,9) and (5,7) respectively. We also document the presence of inter and intra-tumor heterogeniety in expression of PD1 and PDL1 in all the tumor subtypes studied. Additionally, we report a phenotypic abnormality in the immune cell populations identified with dual or triple markers expression of the canonical CD antigens of T-Cells, B-Cells and macrophages.Conclusion: The current study demonstrates high-dimensional visualization with the simultaneous analysis of epithelial, immune, and stromal components using IMC can be used to explore cell populations in tumor tissue to quantify tumor heterogeneity or identification of novel clustering patterns that has potential for translational research and clinical practice. Significance: This study presents the potential of Imaging Mass Cytometry and single cell analysis algorithms in multiplex high throughput tumor tissue studies.
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| 10. |
- Besse, Lenka, et al.
(författare)
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Treatment with HIV-protease inhibitor nelfinavir identifies membrane lipid composition and fluidity as a therapeutic target in advanced multiple myeloma
- 2021
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Ingår i: Cancer Research. - 0008-5472 .- 1538-7445. ; 81, s. 4581-4593
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Tidskriftsartikel (refereegranskat)abstract
- The HIV-protease inhibitor nelfinavir has shown broad anticancer activity in various preclinical and clinical contexts.In patients with advanced, proteasome inhibitor (PI)-refractory multiple myeloma, nelfinavir-based therapy resulted in 65% partial response or better, suggesting that this may be a highly active chemotherapeutic option in this setting.The broad anticancer mechanism of action of nelfinavir implies that it interferes with fundamental aspects of cancer cell biology.We combined proteome-wide affinity-purification of nelfinavir-interacting proteins with genome-wide CRISPR/Cas9-based screening to identify protein partners that interact with nelfinavir in an activity-dependent manner alongside candidate genetic contributors affecting nelfinavir cytotoxicity.Nelfinavir had multiple activity-specific binding partners embedded in lipid bilayers of mitochondria and the endoplasmic reticulum.Nelfinavir affected the fluidity and composition of lipid-rich membranes, disrupted mitochondrial respiration, blocked vesicular transport, and affected the function of membrane-embedded drug efflux transporter ABCB1, triggering the integrated stress response.Sensitivity to nelfinavir was dependent on ADIPOR2, which maintains membrane fluidity by promoting fatty acid desaturation and incorporation into phospholipids.Supplementation with fatty acids prevented the nelfinavir-induced effect on mitochondrial metabolism, drug-efflux transporters, and stress-response activation.Conversely, depletion of fatty acids/cholesterol pools by the FDAapproved drug ezetimibe showed a synergistic anticancer activity with nelfinavir in vitro.These results identify the modification of lipid-rich membranes by nelfinavir as a novel mechanism of action to achieve broad anticancer activity, which may be suitable for the treatment of PI-refractory multiple myeloma.
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