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- 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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- 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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- 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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- 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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- Andersson, Natalie, et al.
(författare)
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Extensive clonal branching shapes the evolutionary history of high-risk pediatric cancers
- 2020
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Ingår i: Cancer Research. - 1538-7445. ; 80:7, s. 1512-1523
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Tidskriftsartikel (refereegranskat)abstract
- Darwinian evolution of tumor cells remains underexplored in childhood cancer. We here reconstruct the evolutionary histories of 56 pediatric primary tumors, including 24 neuroblastomas, 24 Wilms tumors and 8 rhabdomyosarcomas. Whole genome copy number and whole exome mutational profiling of multiple regions per tumor was performed followed by clonal deconvolution to reconstruct a phylogenetic tree for each tumor. Overall, 88% of the tumors exhibited genetic variation among primary tumor regions. This variability typically emerged through collateral phylogenetic branching, leading to spatial variability in the distribution of more than 50% (96/173) of detected diagnostically informative genetic aberrations. Single cell sequencing of 547 individual cancer cells from eight solid pediatric tumors confirmed branching evolution to be a fundamental underlying principle of genetic variation in all cases. Strikingly, cell-to-cell genetic diversity was almost twice as high in aggressive compared to clinically favorable tumors (median Simpson index of diversity 0.45 vs. 0.88; p=0.029). Similarly, a comparison of multiregional sampling data from a total of 274 tumor regions showed that new phylogenetic branches emerge at a higher frequency per sample and carry a higher mutational load in high-risk than in low-risk tumors. Timelines based on spatial genetic variation showed that the mutations most influencing relapse risk occur at initiation of clonal expansion in neuroblastoma and rhabdomyosarcoma, while in Wilms tumor they are late events. Thus, from an evolutionary standpoint, some high-risk childhood cancers are born bad, while others grow worse over time.
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